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TDengine

taosdata / TDengine
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TDengine
TDengine
提交 7800b773 编写于 作者: M Minglei Jin
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Merge branch 'v3.0' into fix/long_query

上级 2b584d16 bbf30ac1
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文本差异 电子邮件补丁
.gitignore
浏览文件 @ 7800b773
......@@ -128,3 +128,4 @@ tools/NEWS
tools/COPYING
tools/BUGS
tools/taos-tools
tools/taosws-rs
CMakeLists.txt
浏览文件 @ 7800b773
......@@ -17,11 +17,12 @@ include(${TD_SUPPORT_DIR}/cmake.platform)
include(${TD_SUPPORT_DIR}/cmake.define)
include(${TD_SUPPORT_DIR}/cmake.options)
include(${TD_SUPPORT_DIR}/cmake.version)
include(${TD_SUPPORT_DIR}/cmake.install)
# contrib
add_subdirectory(contrib)
set_property(GLOBAL PROPERTY GLOBAL_DEPENDS_NO_CYCLES OFF)
# api
add_library(api INTERFACE)
target_include_directories(api INTERFACE "include/client")
......@@ -36,8 +37,7 @@ add_subdirectory(source)
add_subdirectory(tools)
add_subdirectory(utils)
add_subdirectory(examples/c)
include(${TD_SUPPORT_DIR}/cmake.install)
# docs
add_subdirectory(docs/doxgen)
\ No newline at end of file
# tests (TODO)
Jenkinsfile
浏览文件 @ 7800b773
......@@ -79,7 +79,7 @@ def pre_test(){
rm -rf debug
mkdir debug
cd debug
cmake .. > /dev/null
cmake .. -DBUILD_TEST=true > /dev/null
make -j4> /dev/null
'''
......
Jenkinsfile2
浏览文件 @ 7800b773
......@@ -173,7 +173,7 @@ def pre_test_build_mac() {
'''
sh '''
cd ${WK}/debug
cmake ..
cmake .. -DBUILD_TEST=true
make -j8
'''
sh '''
......@@ -218,12 +218,12 @@ def pre_test_win(){
if (env.CHANGE_URL =~ /\/TDengine\//) {
bat '''
cd %WIN_INTERNAL_ROOT%
git pull
git pull origin ''' + env.CHANGE_TARGET + '''
'''
bat '''
cd %WIN_COMMUNITY_ROOT%
git remote prune origin
git pull
git pull origin ''' + env.CHANGE_TARGET + '''
'''
bat '''
cd %WIN_COMMUNITY_ROOT%
......@@ -236,7 +236,7 @@ def pre_test_win(){
} else if (env.CHANGE_URL =~ /\/TDinternal\//) {
bat '''
cd %WIN_INTERNAL_ROOT%
git pull
git pull origin ''' + env.CHANGE_TARGET + '''
'''
bat '''
cd %WIN_INTERNAL_ROOT%
......@@ -302,7 +302,7 @@ def pre_test_build_win() {
set CL=/MP8
echo ">>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> cmake"
time /t
cmake .. -G "NMake Makefiles JOM" || exit 7
cmake .. -G "NMake Makefiles JOM" -DBUILD_TEST=true || exit 7
echo ">>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> jom -j 6"
time /t
jom -j 6 || exit 8
......
README-CN.md
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......@@ -39,9 +39,9 @@ TDengine 是一款开源、高性能、云原生的时序数据库 (Time-Series
# 构建
TDengine 目前可以在 Linux、 Windows 等平台上安装和运行。任何 OS 的应用也可以选择 taosAdapter 的 RESTful 接口连接服务端 taosd。CPU 支持 X64/ARM64，后续会支持 MIPS64、Alpha64、ARM32、RISC-V 等 CPU 架构。
TDengine 目前可以在 Linux、 Windows、macOS 等平台上安装和运行。任何 OS 的应用也可以选择 taosAdapter 的 RESTful 接口连接服务端 taosd。CPU 支持 X64/ARM64，后续会支持 MIPS64、Alpha64、ARM32、RISC-V 等 CPU 架构。
用户可根据需求选择通过源码、[容器](https://docs.taosdata.com/get-started/docker/)、[安装包](https://docs.taosdata.com/get-started/package/)或[Kubenetes](https://docs.taosdata.com/deployment/k8s/)来安装。本快速指南仅适用于通过源码安装。
用户可根据需求选择通过源码、[容器](https://docs.taosdata.com/get-started/docker/)、[安装包](https://docs.taosdata.com/get-started/package/)或[Kubernetes](https://docs.taosdata.com/deployment/k8s/)来安装。本快速指南仅适用于通过源码安装。
TDengine 还提供一组辅助工具软件 taosTools，目前它包含 taosBenchmark（曾命名为 taosdemo）和 taosdump 两个软件。默认 TDengine 编译不包含 taosTools, 您可以在编译 TDengine 时使用`cmake .. -DBUILD_TOOLS=true` 来同时编译 taosTools。
......@@ -104,6 +104,12 @@ sudo yum install -y zlib-devel xz-devel snappy-devel jansson jansson-devel pkgco
sudo yum config-manager --set-enabled Powertools
```
### macOS
```
brew install argp-standalone pkgconfig
```
### 设置 golang 开发环境
TDengine 包含数个使用 Go 语言开发的组件，比如taosAdapter, 请参考 golang.org 官方文档设置 go 开发环境。
......@@ -210,14 +216,14 @@ cmake .. -G "NMake Makefiles"
nmake
```
<!-- ### macOS 系统
### macOS 系统
安装 Xcode 命令行工具和 cmake. 在 Catalina 和 Big Sur 操作系统上，需要安装 XCode 11.4+ 版本。
安装 XCode 命令行工具和 cmake. 在 Catalina 和 Big Sur 操作系统上，需要安装 XCode 11.4+ 版本。
```bash
mkdir debug && cd debug
cmake .. && cmake --build .
``` -->
```
# 安装
......@@ -263,6 +269,24 @@ nmake install
sudo make install
```
用户可以在[文件目录结构](https://docs.taosdata.com/reference/directory/)中了解更多在操作系统中生成的目录或文件。
从源代码安装也会为 TDengine 配置服务管理 ，用户也可以选择[从安装包中安装](https://docs.taosdata.com/get-started/package/)。
安装成功后，可以在应用程序中双击 TDengine 图标启动服务，或者在终端中启动 TDengine 服务：
```bash
launchctl start com.tdengine.taosd
```
用户可以使用 TDengine CLI 来连接 TDengine 服务，在终端中，输入：
```bash
taos
```
如果 TDengine CLI 连接服务成功，将会打印出欢迎消息和版本信息。如果失败，则会打印出错误消息。
## 快速运行
如果不希望以服务方式运行 TDengine，也可以在终端中直接运行它。也即在生成完成后，执行以下命令（在 Windows 下，生成的可执行文件会带有 .exe 后缀，例如会名为 taosd.exe ）：
......
README.md
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......@@ -15,25 +15,25 @@
[![Coverage Status](https://coveralls.io/repos/github/taosdata/TDengine/badge.svg?branch=develop)](https://coveralls.io/github/taosdata/TDengine?branch=develop)
[![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/4201/badge)](https://bestpractices.coreinfrastructure.org/projects/4201)
English | [简体中文](README-CN.md) | [Lean more about TSDB](https://tdengine.com/tsdb)
English | [简体中文](README-CN.md) | [TDengine Cloud](https://cloud.tdengine.com) | [Learn more about TSDB](https://tdengine.com/tsdb/)
# What is TDengine？
TDengine is an open source, high-performance, cloud native [time-series database](https://tdengine.com/tsdb/) optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. It enables efficient, real-time data ingestion, processing, and monitoring of TB and even PB scale data per day, generated by billions of sensors and data collectors. TDengine differentiates itself from other time-seires databases with the following advantages:
TDengine is an open source, high-performance, cloud native [time-series database](https://tdengine.com/tsdb/) optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. It enables efficient, real-time data ingestion, processing, and monitoring of TB and even PB scale data per day, generated by billions of sensors and data collectors. TDengine differentiates itself from other time-series databases with the following advantages:
- **[High-Performance](https://tdengine.com/tdengine/high-performance-time-series-database/)**: TDengine is the only time-series database to solve the high cardinality issue to support billions of data collection points while out performing other time-series databases for data ingestion, querying and data compression.
- **[High Performance](https://tdengine.com/tdengine/high-performance-time-series-database/)**: TDengine is the only time-series database to solve the high cardinality issue to support billions of data collection points while out performing other time-series databases for data ingestion, querying and data compression.
- **[Simplified Solution](https://tdengine.com/tdengine/simplified-time-series-data-solution/)**: Through built-in caching, stream processing and data subscription features, TDengine provides a simplified solution for time-series data processing. It reduces system design complexity and operation costs significantly.
- **[Cloud Native](https://tdengine.com/tdengine/cloud-native-time-series-database/)**: Through native distributed design, sharding and partitioning, separation of compute and storage, RAFT, support for kubernetes deployment and full observability, TDengine is a cloud native Time-Series Database and can be deployed on public, private or hybrid clouds.
- **[Ease of Use](https://docs.tdengine.com/get-started/docker/)**: For administrators, TDengine significantly reduces the effort to deploy and maintain. For developers, it provides a simple interface, simplified solution and seamless integrations for third party tools. For data users, it gives easy data access.
- **[Ease of Use](https://tdengine.com/tdengine/easy-time-series-data-platform/)**: For administrators, TDengine significantly reduces the effort to deploy and maintain. For developers, it provides a simple interface, simplified solution and seamless integrations for third party tools. For data users, it gives easy data access.
- **[Easy Data Analytics](https://tdengine.com/tdengine/time-series-data-analytics-made-easy/)**: Through super tables, storage and compute separation, data partitioning by time interval, pre-computation and other means, TDengine makes it easy to explore, format, and get access to data in a highly efficient way.
- **[Open Source](https://tdengine.com/tdengine/open-source-time-series-database/)**: TDengine’s core modules, including cluster feature, are all available under open source licenses. It has gathered 18.8k stars on GitHub. There is an active developer community, and over 139k running instances worldwide.
For a full list of TDengine competitive advantages, please [check here](https://tdengine.com/tdengine/)
For a full list of TDengine competitive advantages, please [check here](https://tdengine.com/tdengine/). The easiest way to experience TDengine is through [TDengine Cloud](https://cloud.tdengine.com).
# Documentation
......@@ -41,7 +41,7 @@ For user manual, system design and architecture, please refer to [TDengine Docum
# Building
At the moment, TDengine server supports running on Linux and Windows systems. Any application can also choose the RESTful interface provided by taosAdapter to connect the taosd service . TDengine supports X64/ARM64 CPU, and it will support MIPS64, Alpha64, ARM32, RISC-V and other CPU architectures in the future.
At the moment, TDengine server supports running on Linux/Windows/macOS systems. Any application can also choose the RESTful interface provided by taosAdapter to connect the taosd service . TDengine supports X64/ARM64 CPU, and it will support MIPS64, Alpha64, ARM32, RISC-V and other CPU architectures in the future.
You can choose to install through source code, [container](https://docs.tdengine.com/get-started/docker/), [installation package](https://docs.tdengine.com/get-started/package/) or [Kubernetes](https://docs.tdengine.com/deployment/k8s/). This quick guide only applies to installing from source.
......@@ -105,6 +105,12 @@ If the PowerTools installation fails, you can try to use:
sudo yum config-manager --set-enabled powertools
```
### macOS
```
brew install argp-standalone pkgconfig
```
### Setup golang environment
TDengine includes a few components like taosAdapter developed by Go language. Please refer to golang.org official documentation for golang environment setup.
......@@ -213,14 +219,14 @@ cmake .. -G "NMake Makefiles"
nmake
```
<!-- ### On macOS platform
### On macOS platform
Please install XCode command line tools and cmake. Verified with XCode 11.4+ on Catalina and Big Sur.
```shell
mkdir debug && cd debug
cmake .. && cmake --build .
``` -->
```
# Installing
......@@ -232,9 +238,9 @@ After building successfully, TDengine can be installed by
sudo make install
```
Users can find more information about directories installed on the system in the [directory and files](https://docs.taosdata.com/reference/directory/) section.
Users can find more information about directories installed on the system in the [directory and files](https://docs.tdengine.com/reference/directory/) section.
Installing from source code will also configure service management for TDengine.Users can also choose to [install from packages](https://docs.taosdata.com/get-started/package/) for it.
Installing from source code will also configure service management for TDengine.Users can also choose to [install from packages](https://docs.tdengine.com/get-started/package/) for it.
To start the service after installation, in a terminal, use:
......@@ -258,7 +264,7 @@ After building successfully, TDengine can be installed by:
nmake install
```
<!--
## On macOS platform
After building successfully, TDengine can be installed by:
......@@ -266,7 +272,24 @@ After building successfully, TDengine can be installed by:
```bash
sudo make install
```
-->
Users can find more information about directories installed on the system in the [directory and files](https://docs.tdengine.com/reference/directory/) section.
Installing from source code will also configure service management for TDengine.Users can also choose to [install from packages](https://docs.tdengine.com/get-started/package/) for it.
To start the service after installation, double-click the /applications/TDengine to start the program, or in a terminal, use:
```bash
launchctl start com.tdengine.taosd
```
Then users can use the TDengine CLI to connect the TDengine server. In a terminal, use:
```bash
taos
```
If TDengine CLI connects the server successfully, welcome messages and version info are printed. Otherwise, an error message is shown.
## Quick Run
......@@ -321,7 +344,11 @@ TDengine provides abundant developing tools for users to develop on TDengine. Fo
Please follow the [contribution guidelines](CONTRIBUTING.md) to contribute to the project.
# Join TDengine User Community
# Join the TDengine Community
For more information about TDengine, you can follow us on social media and join our Discord server:
- Join [TDengine Discord Channel](https://discord.com/invite/VZdSuUg4pS?utm_id=discord)
- Join wechat group by adding WeChat “tdengine”
- [Discord](https://discord.com/invite/VZdSuUg4pS)
- [Twitter](https://twitter.com/TaosData)
- [LinkedIn](https://www.linkedin.com/company/tdengine/)
- [YouTube](https://www.youtube.com/channel/UCmp-1U6GS_3V3hjir6Uq5DQ)
cmake/cmake.define
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......@@ -100,6 +100,8 @@ IF (TD_WINDOWS)
SET(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${COMMON_FLAGS}")
SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${COMMON_FLAGS}")
SET(JEMALLOC_ENABLED OFF)
ELSE ()
IF (${TD_DARWIN})
set(CMAKE_MACOSX_RPATH 0)
......@@ -117,8 +119,8 @@ ELSE ()
SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Werror -Wno-literal-suffix -Werror=return-type -fPIC -gdwarf-2 -fsanitize=address -fsanitize=undefined -fsanitize-recover=all -fsanitize=float-divide-by-zero -fsanitize=float-cast-overflow -fno-sanitize=shift-base -fno-sanitize=alignment -g3 -Wformat=0")
MESSAGE(STATUS "Will compile with Address Sanitizer!")
ELSE ()
SET(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Werror -Werror=return-type -fPIC -gdwarf-2 -g3 -Wformat=0")
SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Werror -Wno-literal-suffix -Werror=return-type -fPIC -gdwarf-2 -g3 -Wformat=0")
SET(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Werror -Werror=return-type -fPIC -gdwarf-2 -g3 -Wformat=2 -Wno-format-nonliteral -Wno-format-truncation -Wno-format-y2k")
SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Werror -Wno-literal-suffix -Werror=return-type -fPIC -gdwarf-2 -g3 -Wformat=2 -Wno-format-nonliteral -Wno-format-truncation -Wno-format-y2k")
ENDIF ()
MESSAGE("System processor ID: ${CMAKE_SYSTEM_PROCESSOR}")
......
cmake/cmake.options
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......@@ -2,6 +2,12 @@
# Deps options
# =========================================================
option(
BUILD_TEST
"If build unit tests using googletest"
OFF
)
IF(${TD_WINDOWS})
MESSAGE("build pthread Win32")
......@@ -46,12 +52,6 @@ IF(${TD_WINDOWS})
ON
)
option(
BUILD_TEST
"If build unit tests using googletest"
ON
)
option(
TDENGINE_3
"TDengine 3.x for taos-tools"
......@@ -65,28 +65,8 @@ IF(${TD_WINDOWS})
)
ELSEIF (TD_DARWIN_64)
IF(${BUILD_TEST})
add_definitions(-DCOMPILER_SUPPORTS_CXX13)
option(
BUILD_TEST
"If build unit tests using googletest"
ON
)
ELSE ()
include(CheckCXXCompilerFlag)
CHECK_CXX_COMPILER_FLAG("-std=c++13" COMPILER_SUPPORTS_CXX13)
IF(${COMPILER_SUPPORTS_CXX13})
add_definitions(-DCOMPILER_SUPPORTS_CXX13)
option(
BUILD_TEST
"If build unit tests using googletest"
ON
)
ELSE ()
option(
BUILD_TEST
"If build unit tests using googletest"
OFF
)
ENDIF ()
ENDIF ()
......
cmake/cmake.platform
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......@@ -45,10 +45,19 @@ IF (${CMAKE_SYSTEM_NAME} MATCHES "Linux" OR ${CMAKE_SYSTEM_NAME} MATCHES "Darwin
ADD_DEFINITIONS("-DDARWIN -Wno-tautological-pointer-compare")
MESSAGE("Current system processor is ${CMAKE_SYSTEM_PROCESSOR}.")
IF (${CMAKE_SYSTEM_PROCESSOR} MATCHES "arm64" OR ${CMAKE_SYSTEM_PROCESSOR} MATCHES "x86_64")
MESSAGE("Current system arch is 64")
IF (${CMAKE_SYSTEM_PROCESSOR} MATCHES "arm64")
MESSAGE("Current system arch is arm64")
SET(TD_DARWIN_64 TRUE)
SET(TD_DARWIN_ARM64 TRUE)
ADD_DEFINITIONS("-D_TD_DARWIN_64")
ADD_DEFINITIONS("-D_TD_DARWIN_ARM64")
ENDIF ()
IF (${CMAKE_SYSTEM_PROCESSOR} MATCHES "x86_64")
MESSAGE("Current system arch is x86_64")
SET(TD_DARWIN_64 TRUE)
SET(TD_DARWIN_X64 TRUE)
ADD_DEFINITIONS("-D_TD_DARWIN_64")
ADD_DEFINITIONS("-D_TD_DARWIN_X64")
ENDIF ()
ADD_DEFINITIONS("-DHAVE_UNISTD_H")
......
cmake/cmake.version
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......@@ -2,7 +2,7 @@
IF (DEFINED VERNUMBER)
SET(TD_VER_NUMBER ${VERNUMBER})
ELSE ()
SET(TD_VER_NUMBER "3.0.1.1")
SET(TD_VER_NUMBER "3.0.1.5")
ENDIF ()
IF (DEFINED VERCOMPATIBLE)
......
cmake/taosadapter_CMakeLists.txt.in
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......@@ -2,7 +2,7 @@
# taosadapter
ExternalProject_Add(taosadapter
GIT_REPOSITORY https://github.com/taosdata/taosadapter.git
GIT_TAG 71e7ccf
GIT_TAG a11131c
SOURCE_DIR "${TD_SOURCE_DIR}/tools/taosadapter"
BINARY_DIR ""
#BUILD_IN_SOURCE TRUE
......
cmake/taostools_CMakeLists.txt.in
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......@@ -2,7 +2,7 @@
# taos-tools
ExternalProject_Add(taos-tools
GIT_REPOSITORY https://github.com/taosdata/taos-tools.git
GIT_TAG e7270c9
GIT_TAG f9c1d32
SOURCE_DIR "${TD_SOURCE_DIR}/tools/taos-tools"
BINARY_DIR ""
#BUILD_IN_SOURCE TRUE
......
cmake/taosws_CMakeLists.txt.in
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......@@ -2,7 +2,7 @@
# taosws-rs
ExternalProject_Add(taosws-rs
GIT_REPOSITORY https://github.com/taosdata/taos-connector-rust.git
GIT_TAG e771403
GIT_TAG 0373a70
SOURCE_DIR "${TD_SOURCE_DIR}/tools/taosws-rs"
BINARY_DIR ""
#BUILD_IN_SOURCE TRUE
......
contrib/CMakeLists.txt
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......@@ -37,6 +37,11 @@ if(${BUILD_WITH_ICONV})
cat("${TD_SUPPORT_DIR}/iconv_CMakeLists.txt.in" ${CONTRIB_TMP_FILE})
endif()
# jemalloc
if(${JEMALLOC_ENABLED})
cat("${TD_SUPPORT_DIR}/jemalloc_CMakeLists.txt.in" ${CONTRIB_TMP_FILE})
endif()
# msvc regex
if(${BUILD_MSVCREGEX})
cat("${TD_SUPPORT_DIR}/msvcregex_CMakeLists.txt.in" ${CONTRIB_TMP_FILE})
......@@ -258,6 +263,19 @@ if(${BUILD_PTHREAD})
target_link_libraries(pthread INTERFACE libpthreadVC3)
endif()
# jemalloc
if(${JEMALLOC_ENABLED})
include(ExternalProject)
ExternalProject_Add(jemalloc
PREFIX "jemalloc"
SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/jemalloc
BUILD_IN_SOURCE 1
CONFIGURE_COMMAND ./autogen.sh COMMAND ./configure --prefix=${CMAKE_BINARY_DIR}/build/ --disable-initial-exec-tls --with-malloc-conf='background_thread:true,metadata_thp:auto'
BUILD_COMMAND ${MAKE}
)
INCLUDE_DIRECTORIES(${CMAKE_BINARY_DIR}/build/include)
endif()
# crashdump
if(${BUILD_CRASHDUMP})
add_executable(dumper "crashdump/dumper/dumper.c")
......
docs/en/02-intro/index.md
浏览文件 @ 7800b773
......@@ -23,8 +23,8 @@ The major features are listed below:
4. [Stream Processing](../develop/stream/): Not only is the continuous query is supported, but TDengine also supports event driven stream processing, so Flink or Spark is not needed for time-series data processing.
5. [Data Subscription](../develop/tmq/): Application can subscribe a table or a set of tables. API is the same as Kafka, but you can specify filter conditions.
6. Visualization
- Supports seamless integration with [Grafana](../third-party/grafana/) for visualization.
- Supports seamless integration with Google Data Studio.
- Supports seamless integration with [Grafana](../third-party/grafana/).
- Supports seamless integration with [Google Data Studio](../third-party/google-data-studio/).
7. Cluster
- Supports [cluster](../deployment/) with the capability of increasing processing power by adding more nodes.
- Supports [deployment on Kubernetes](../deployment/k8s/).
......@@ -33,7 +33,7 @@ The major features are listed below:
- Provides [monitoring](../operation/monitor) on running instances of TDengine.
- Provides many ways to [import](../operation/import) and [export](../operation/export) data.
9. Tools
- Provides an interactive [Command-line Interface (CLI)](../reference/taos-shell) for management, maintenance and ad-hoc queries.
- Provides an interactive [Command Line Interface (CLI)](../reference/taos-shell) for management, maintenance and ad-hoc queries.
- Provides a tool [taosBenchmark](../reference/taosbenchmark/) for testing the performance of TDengine.
10. Programming
- Provides [connectors](../reference/connector/) for [C/C++](../reference/connector/cpp), [Java](../reference/connector/java), [Python](../reference/connector/python), [Go](../reference/connector/go), [Rust](../reference/connector/rust), [Node.js](../reference/connector/node) and other programming languages.
......
docs/en/05-get-started/01-docker.md
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......@@ -3,11 +3,27 @@ sidebar_label: Docker
title: Quick Install on Docker
---
This document describes how to install TDengine in a Docker container and perform queries and inserts. To get started with TDengine in a non-containerized environment, see [Quick Install](../../get-started/package). If you want to view the source code, build TDengine yourself, or contribute to the project, see the [TDengine GitHub repository](https://github.com/taosdata/TDengine).
This document describes how to install TDengine in a Docker container and perform queries and inserts.
- The easiest way to explore TDengine is through [TDengine Cloud](http://cloud.tdengine.com).
- To get started with TDengine in a non-containerized environment, see [Quick Install from Package](../../get-started/package).
- If you want to view the source code, build TDengine yourself, or contribute to the project, see the [TDengine GitHub repository](https://github.com/taosdata/TDengine).
## Run TDengine
If Docker is already installed on your computer, run the following command:
If Docker is already installed on your computer, pull the latest TDengine Docker container image:
```shell
docker pull tdengine/tdengine:latest
```
Or the container image of specific version:
```shell
docker pull tdengine/tdengine:3.0.1.4
```
And then run the following command:
```shell
docker run -d -p 6030:6030 -p 6041:6041 -p 6043-6049:6043-6049 -p 6043-6049:6043-6049/udp tdengine/tdengine
......@@ -46,7 +62,7 @@ taos>
After your TDengine Server is running normally, you can run the taosBenchmark utility to test its performance:
Start TDengine service and execute `taosBenchmark` (formerly named `taosdemo`) in a Linux or Windows terminal.
Start TDengine service and execute `taosBenchmark` (formerly named `taosdemo`) in a terminal.
```bash
taosBenchmark
......
docs/en/05-get-started/03-package.md
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......@@ -7,13 +7,17 @@ import Tabs from "@theme/Tabs";
import TabItem from "@theme/TabItem";
import PkgListV3 from "/components/PkgListV3";
For information about installing TDengine on Docker, see [Quick Install on Docker](../../get-started/docker). If you want to view the source code, build TDengine yourself, or contribute to the project, see the [TDengine GitHub repository](https://github.com/taosdata/TDengine).
This document describes how to install TDengine on Linux/Windows/macOS and perform queries and inserts.
- The easiest way to explore TDengine is through [TDengine Cloud](http://cloud.tdengine.com).
- To get started with TDengine on Docker, see [Quick Install on Docker](../../get-started/docker).
- If you want to view the source code, build TDengine yourself, or contribute to the project, see the [TDengine GitHub repository](https://github.com/taosdata/TDengine).
The full package of TDengine includes the TDengine Server (`taosd`), TDengine Client (`taosc`), taosAdapter for connecting with third-party systems and providing a RESTful interface, a command-line interface (CLI, taos), and some tools. Note that taosAdapter supports Linux only. In addition to connectors for multiple languages, TDengine also provides a [REST API](../../reference/rest-api) through [taosAdapter](../../reference/taosadapter).
The standard server installation package includes `taos`, `taosd`, `taosAdapter`, `taosBenchmark`, and sample code. You can also download the Lite package that includes only `taosd` and the C/C++ connector.
The TDengine Community Edition is released as Deb and RPM packages. The Deb package can be installed on Debian, Ubuntu, and derivative systems. The RPM package can be installed on CentOS, RHEL, SUSE, and derivative systems. A .tar.gz package is also provided for enterprise customers, and you can install TDengine over `apt-get` as well. The .tar.tz package includes `taosdump` and the TDinsight installation script. If you want to use these utilities with the Deb or RPM package, download and install taosTools separately. TDengine can also be installed on 64-bit Windows.
The TDengine Community Edition is released as Deb and RPM packages. The Deb package can be installed on Debian, Ubuntu, and derivative systems. The RPM package can be installed on CentOS, RHEL, SUSE, and derivative systems. A .tar.gz package is also provided for enterprise customers, and you can install TDengine over `apt-get` as well. The .tar.tz package includes `taosdump` and the TDinsight installation script. If you want to use these utilities with the Deb or RPM package, download and install taosTools separately. TDengine can also be installed on x64 Windows and x64/m1 macOS.
## Installation
......@@ -107,11 +111,18 @@ Note: TDengine only supports Windows Server 2016/2019 and Windows 10/11 on the W
<PkgListV3 type={3}/>
2. Run the downloaded package to install TDengine.
</TabItem>
<TabItem label="macOS" value="macos">
1. Download the macOS installation package.
<PkgListV3 type={7}/>
2. Run the downloaded package to install TDengine. If the installation is blocked, you can right-click or ctrl-click on the installation package and select `Open`.
</TabItem>
</Tabs>
:::info
For information about TDengine releases, see [Release History](../../releases).
For information about TDengine other releases, check [Release History](../../releases/tdengine).
:::
:::note
......@@ -168,18 +179,47 @@ The following `systemctl` commands can help you manage TDengine service:
:::
## Command Line Interface (CLI)
You can use the TDengine CLI to monitor your TDengine deployment and execute ad hoc queries. To open the CLI, you can execute `taos` in terminal.
</TabItem>
<TabItem label="Windows" value="windows">
After the installation is complete, run `C:\TDengine\taosd.exe` to start TDengine Server.
## Command Line Interface (CLI)
You can use the TDengine CLI to monitor your TDengine deployment and execute ad hoc queries. To open the CLI, you can run `taos.exe` in the `C:\TDengine` directory of the Windows terminal to start the TDengine command line.
</TabItem>
</Tabs>
<TabItem label="macOS" value="macos">
After the installation is complete, double-click the /applications/TDengine to start the program, or run `launchctl start com.tdengine.taosd` to start TDengine Server.
The following `launchctl` commands can help you manage TDengine service:
- Start TDengine Server: `launchctl start com.tdengine.taosd`
- Stop TDengine Server: `launchctl stop com.tdengine.taosd`
- Check TDengine Server status: `launchctl list | grep taosd`
:::info
- The `launchctl` command does not require _root_ privileges. You don't need to use the `sudo` command.
- The first content returned by the `launchctl list | grep taosd` command is the PID of the program, if '-' indicates that the TDengine service is not running.
:::
## Command Line Interface (CLI)
You can use the TDengine CLI to monitor your TDengine deployment and execute ad hoc queries. To open the CLI, you can execute `taos` in the Linux terminal where TDengine is installed, or you can run `taos.exe` in the `C:\TDengine` directory of the Windows terminal where TDengine is installed to start the TDengine command line.
You can use the TDengine CLI to monitor your TDengine deployment and execute ad hoc queries. To open the CLI, you can execute `taos` in terminal.
</TabItem>
</Tabs>
```bash
taos
......@@ -209,13 +249,13 @@ SELECT * FROM t;
Query OK, 2 row(s) in set (0.003128s)
```
You can also can monitor the deployment status, add and remove user accounts, and manage running instances. You can run the TDengine CLI on either Linux or Windows machines. For more information, see [TDengine CLI](../../reference/taos-shell/).
You can also can monitor the deployment status, add and remove user accounts, and manage running instances. You can run the TDengine CLI on either machines. For more information, see [TDengine CLI](../../reference/taos-shell/).
## Test data insert performance
After your TDengine Server is running normally, you can run the taosBenchmark utility to test its performance:
Start TDengine service and execute `taosBenchmark` (formerly named `taosdemo`) in a Linux or Windows terminal.
Start TDengine service and execute `taosBenchmark` (formerly named `taosdemo`) in a terminal.
```bash
taosBenchmark
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docs/en/05-get-started/index.md
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......@@ -3,9 +3,9 @@ title: Get Started
description: This article describes how to install TDengine and test its performance.
---
The full package of TDengine includes the TDengine Server (`taosd`), TDengine Client (`taosc`), taosAdapter for connecting with third-party systems and providing a RESTful interface, a command-line interface, and some tools. In addition to connectors for multiple languages, TDengine also provides a [RESTful interface](/reference/rest-api) through [taosAdapter](/reference/taosadapter).
You can install and run TDengine on Linux/Windows/macOS machines as well as Docker containers. You can also deploy TDengine as a managed service with TDengine Cloud.
You can install and run TDengine on Linux and Windows machines as well as Docker containers.
The full package of TDengine includes the TDengine Server (`taosd`), TDengine Client (`taosc`), taosAdapter for connecting with third-party systems and providing a RESTful interface, a command-line interface, and some tools. In addition to connectors for multiple languages, TDengine also provides a [RESTful interface](/reference/rest-api) through [taosAdapter](/reference/taosadapter).
```mdx-code-block
import DocCardList from '@theme/DocCardList';
......
docs/en/07-develop/01-connect/_connect_cs.mdx
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```csharp title="Native Connection"
{{#include docs/examples/csharp/ConnectExample.cs}}
{{#include docs/examples/csharp/connect/Program.cs}}
```
:::info
C# connector supports only native connection for now.
:::
```csharp title="WebSocket Connection"
{{#include docs/examples/csharp/wsConnect/Program.cs}}
```
docs/en/07-develop/01-connect/index.md
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......@@ -15,10 +15,12 @@ import ConnCSNative from "./_connect_cs.mdx";
import ConnC from "./_connect_c.mdx";
import ConnR from "./_connect_r.mdx";
import ConnPHP from "./_connect_php.mdx";
import InstallOnWindows from "../../14-reference/03-connector/_linux_install.mdx";
import InstallOnLinux from "../../14-reference/03-connector/_windows_install.mdx";
import InstallOnLinux from "../../14-reference/03-connector/_linux_install.mdx";
import InstallOnWindows from "../../14-reference/03-connector/_windows_install.mdx";
import InstallOnMacOS from "../../14-reference/03-connector/_macos_install.mdx";
import VerifyLinux from "../../14-reference/03-connector/_verify_linux.mdx";
import VerifyWindows from "../../14-reference/03-connector/_verify_windows.mdx";
import VerifyMacOS from "../../14-reference/03-connector/_verify_macos.mdx";
Any application running on any platform can access TDengine through the REST API provided by TDengine. For information, see [REST API](/reference/rest-api/). Applications can also use the connectors for various programming languages, including C/C++, Java, Python, Go, Node.js, C#, and Rust, to access TDengine. These connectors support connecting to TDengine clusters using both native interfaces (taosc). Some connectors also support connecting over a REST interface. Community developers have also contributed several unofficial connectors, such as the ADO.NET connector, the Lua connector, and the PHP connector.
......@@ -44,10 +46,13 @@ If you are choosing to use the native connection and the the application is not
<Tabs defaultValue="linux" groupId="os">
<TabItem value="linux" label="Linux">
<InstallOnWindows />
<InstallOnLinux />
</TabItem>
<TabItem value="windows" label="Windows">
<InstallOnLinux />
<InstallOnWindows />
</TabItem>
<TabItem value="macos" label="MacOS">
<InstallOnMacOS />
</TabItem>
</Tabs>
......@@ -62,6 +67,9 @@ After the above installation and configuration are done and making sure TDengine
<TabItem value="windows" label="Windows">
<VerifyWindows />
</TabItem>
<TabItem value="macos" label="MacOS">
<VerifyMacOS />
</TabItem>
</Tabs>
## Install Connectors
......@@ -138,9 +146,9 @@ Node.js connector provides different ways of establishing connections by providi
1. Install Node.js Native Connector
```
npm install @tdengine/client
```
```
npm install @tdengine/client
```
:::note
It's recommend to use Node whose version is between `node-v12.8.0` and `node-v13.0.0`.
......@@ -148,9 +156,9 @@ It's recommend to use Node whose version is between `node-v12.8.0` and `node-v13
2. Install Node.js REST Connector
```
npm install @tdengine/rest
```
```
npm install @tdengine/rest
```
</TabItem>
<TabItem label="C#" value="csharp">
......
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......@@ -6,8 +6,6 @@ The data model employed by TDengine is similar to that of a relational database.
Note: before you read this chapter, please make sure you have already read through [Key Concepts](/concept/), since TDengine introduces new concepts like "one table for one [data collection point](/concept/#data-collection-point)" and "[super table](/concept/#super-table-stable)".
## Create Database
The characteristics of time-series data from different data collection points may be different. Characteristics include collection frequency, retention policy and others which determine how you create and configure the database. For e.g. days to keep, number of replicas, data block size, whether data updates are allowed and other configurable parameters would be determined by the characteristics of your data and your business requirements. For TDengine to operate with the best performance, we strongly recommend that you create and configure different databases for data with different characteristics. This allows you, for example, to set up different storage and retention policies. When creating a database, there are a lot of parameters that can be configured such as, the days to keep data, the number of replicas, the size of the cache, time precision, the minimum and maximum number of rows in each data block, whether compression is enabled, the time range of the data in single data file and so on. An example is shown as follows:
......@@ -17,10 +15,11 @@ CREATE DATABASE power KEEP 365 DURATION 10 BUFFER 16 WAL_LEVEL 1;
```
In the above SQL statement:
- a database named "power" is created
- the data in it is retained for 365 days, which means that data older than 365 days will be deleted automatically
- a new data file will be created every 10 days
- the size of the write cache pool on each vnode is 16 MB
- the size of the write cache pool on each VNode is 16 MB
- the number of vgroups is 100
- WAL is enabled but fsync is disabled For more details please refer to [Database](/taos-sql/database).
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......@@ -34,11 +34,12 @@ meters,location=California.LosAngeles,groupid=2 current=13.4,voltage=223,phase=0
:::note
- All the data in `tag_set` will be converted to nchar type automatically .
- All the data in `tag_set` will be converted to NCHAR type automatically .
- Each data in `field_set` must be self-descriptive for its data type. For example 1.2f32 means a value 1.2 of float type. Without the "f" type suffix, it will be treated as type double.
- Multiple kinds of precision can be used for the `timestamp` field. Time precision can be from nanosecond (ns) to hour (h).
:::
- You can configure smlChildTableName in taos.cfg to specify table names, for example, `smlChildTableName=tname`. You can insert `st,tname=cpul,t1=4 c1=3 1626006833639000000` and the cpu1 table will be automatically created. Note that if multiple rows have the same tname but different tag_set values, the tag_set of the first row is used to create the table and the others are ignored.
- It is assumed that the order of field_set in a supertable is consistent, meaning that the first record contains all fields and subsequent records store fields in the same order. If the order is not consistent, set smlDataFormat in taos.cfg to false. Otherwise, data will be written out of order and a database error will occur.(smlDataFormat in taos.cfg default to false after version of 3.0.1.3)
:::
For more details please refer to [InfluxDB Line Protocol](https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/) and [TDengine Schemaless](/reference/schemaless/#Schemaless-Line-Protocol)
......@@ -64,3 +65,11 @@ For more details please refer to [InfluxDB Line Protocol](https://docs.influxdat
<CLine />
</TabItem>
</Tabs>
## Query Examples
If you want query the data of `location=California.LosAngeles,groupid=2`，here is the query SQL:
```sql
SELECT * FROM meters WHERE location = "California.LosAngeles" AND groupid = 2;
```
docs/en/07-develop/03-insert-data/03-opentsdb-telnet.mdx
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......@@ -24,7 +24,7 @@ A single line of text is used in OpenTSDB line protocol to represent one row of
- `metric` will be used as the STable name.
- `timestamp` is the timestamp of current row of data. The time precision will be determined automatically based on the length of the timestamp. Second and millisecond time precision are supported.
- `value` is a metric which must be a numeric value, The corresponding column name is "value".
- The last part is the tag set separated by spaces, all tags will be converted to nchar type automatically.
- The last part is the tag set separated by spaces, all tags will be converted to NCHAR type automatically.
For example:
......@@ -32,7 +32,8 @@ For example:
meters.current 1648432611250 11.3 location=California.LosAngeles groupid=3
```
Please refer to [OpenTSDB Telnet API](http://opentsdb.net/docs/build/html/api_telnet/put.html) for more details.
- The defult child table name is generated by rules.You can configure smlChildTableName in taos.cfg to specify child table names, for example, `smlChildTableName=tname`. You can insert `meters.current 1648432611250 11.3 tname=cpu1 location=California.LosAngeles groupid=3` and the cpu1 table will be automatically created. Note that if multiple rows have the same tname but different tag_set values, the tag_set of the first row is used to create the table and the others are ignored.
Please refer to [OpenTSDB Telnet API](http://opentsdb.net/docs/build/html/api_telnet/put.html) for more details.
## Examples
......@@ -64,10 +65,10 @@ taos> use test;
Database changed.
taos> show stables;
name | created_time | columns | tags | tables |
============================================================================================
meters.current | 2022-03-30 17:04:10.877 | 2 | 2 | 2 |
meters.voltage | 2022-03-30 17:04:10.882 | 2 | 2 | 2 |
name |
=================================
meters.current |
meters.voltage |
Query OK, 2 row(s) in set (0.002544s)
taos> select tbname, * from `meters.current`;
......@@ -79,3 +80,11 @@ taos> select tbname, * from `meters.current`;
t_7e7b26dd860280242c6492a16... | 2022-03-28 09:56:51.250 | 12.600000000 | 2 | California.SanFrancisco |
Query OK, 4 row(s) in set (0.005399s)
```
## Query Examples
If you want query the data of `location=California.LosAngeles groupid=3`，here is the query SQL:
```sql
SELECT * FROM `meters.current` WHERE location = "California.LosAngeles" AND groupid = 3;
```
docs/en/07-develop/03-insert-data/04-opentsdb-json.mdx
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......@@ -46,10 +46,10 @@ Please refer to [OpenTSDB HTTP API](http://opentsdb.net/docs/build/html/api_http
:::note
- In JSON protocol, strings will be converted to nchar type and numeric values will be converted to double type.
- In JSON protocol, strings will be converted to NCHAR type and numeric values will be converted to double type.
- Only data in array format is accepted and so an array must be used even if there is only one row.
:::
- The defult child table name is generated by rules.You can configure smlChildTableName in taos.cfg to specify child table names, for example, `smlChildTableName=tname`. You can insert `"tags": { "host": "web02","dc": "lga","tname":"cpu1"}` and the cpu1 table will be automatically created. Note that if multiple rows have the same tname but different tag_set values, the tag_set of the first row is used to create the table and the others are ignored.
:::
## Examples
......@@ -81,10 +81,10 @@ taos> use test;
Database changed.
taos> show stables;
name | created_time | columns | tags | tables |
============================================================================================
meters.current | 2022-03-29 16:05:25.193 | 2 | 2 | 1 |
meters.voltage | 2022-03-29 16:05:25.200 | 2 | 2 | 1 |
name |
=================================
meters.current |
meters.voltage |
Query OK, 2 row(s) in set (0.001954s)
taos> select * from `meters.current`;
......@@ -94,3 +94,11 @@ taos> select * from `meters.current`;
2022-03-28 09:56:51.250 | 12.600000000 | 2.000000000 | California.SanFrancisco |
Query OK, 2 row(s) in set (0.004076s)
```
## Query Examples
If you want query the data of "tags": {"location": "California.LosAngeles", "groupid": 1}，here is the query SQL:
```sql
SELECT * FROM `meters.current` WHERE location = "California.LosAngeles" AND groupid = 3;
```
docs/en/07-develop/03-insert-data/05-high-volume.md
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......@@ -23,9 +23,9 @@ From the perspective of application program, you need to consider:
3. The distribution of data to be written across tables or sub-tables. Writing to single table in one batch is more efficient than writing to multiple tables in one batch.
4. Data Writing Protocol.
- Prameter binding mode is more efficient than SQL because it doesn't have the cost of parsing SQL.
- Writing to known existing tables is more efficient than wirting to uncertain tables in automatic creating mode because the later needs to check whether the table exists or not before actually writing data into it
- Writing in SQL is more efficient than writing in schemaless mode because schemaless writing creats table automatically and may alter table schema
- Parameter binding mode is more efficient than SQL because it doesn't have the cost of parsing SQL.
- Writing to known existing tables is more efficient than writing to uncertain tables in automatic creating mode because the later needs to check whether the table exists or not before actually writing data into it.
- Writing in SQL is more efficient than writing in schemaless mode because schemaless writing creates table automatically and may alter table schema.
Application programs need to take care of the above factors and try to take advantage of them. The application progam should write to single table in each write batch. The batch size needs to be tuned to a proper value on a specific system. The number of concurrent connections needs to be tuned to a proper value too to achieve the best writing throughput.
......@@ -37,7 +37,7 @@ Application programs need to read data from data source then write into TDengine
2. The speed of data generation from single data source is much higher than the speed of single writing thread. The purpose of message queue in this case is to provide buffer so that data is not lost and multiple writing threads can get data from the buffer.
3. The data for single table are from multiple data source. In this case the purpose of message queues is to combine the data for single table together to improve the write efficiency.
If the data source is Kafka, then the appication program is a consumer of Kafka, you can benefit from some kafka features to achieve high performance writing:
If the data source is Kafka, then the application program is a consumer of Kafka, you can benefit from some kafka features to achieve high performance writing:
1. Put the data for a table in single partition of single topic so that it's easier to put the data for each table together and write in batch
2. Subscribe multiple topics to accumulate data together.
......@@ -56,7 +56,7 @@ This section will introduce the sample programs to demonstrate how to write into
### Scenario
Below are the scenario for the sample programs of high performance wrting.
Below are the scenario for the sample programs of high performance writing.
- Application program reads data from data source, the sample program simulates a data source by generating data
- The speed of single writing thread is much slower than the speed of generating data, so the program starts multiple writing threads while each thread establish a connection to TDengine and each thread has a message queue of fixed size.
......@@ -80,7 +80,7 @@ The sample programs assume the source data is for all the different sub tables i
| ---------------- | ----------------------------------------------------------------------------------------------------- |
| FastWriteExample | Main Program |
| ReadTask | Read data from simulated data source and put into a queue according to the hash value of table name |
| WriteTask | Read data from Queue, compose a wirte batch and write into TDengine |
| WriteTask | Read data from Queue, compose a write batch and write into TDengine |
| MockDataSource | Generate data for some sub tables of super table meters |
| SQLWriter | WriteTask uses this class to compose SQL, create table automatically, check SQL length and write data |
| StmtWriter | Write in Parameter binding mode (Not finished yet) |
......@@ -95,16 +95,16 @@ The main Program is responsible for:
1. Create message queues
2. Start writing threads
3. Start reading threads
4. Otuput writing speed every 10 seconds
4. Output writing speed every 10 seconds
The main program provides 4 parameters for tuning：
1. The number of reading threads, default value is 1
2. The number of writing threads, default alue is 2
2. The number of writing threads, default value is 2
3. The total number of tables in the generated data, default value is 1000. These tables are distributed evenly across all writing threads. If the number of tables is very big, it will cost much time to firstly create these tables.
4. The batch size of single write, default value is 3,000
The capacity of message queue also impacts performance and can be tuned by modifying program. Normally it's always better to have a larger message queue. A larger message queue means lower possibility of being blocked when enqueueing and higher throughput. But a larger message queue consumes more memory space. The default value used in the sample programs is already big enoug.
The capacity of message queue also impacts performance and can be tuned by modifying program. Normally it's always better to have a larger message queue. A larger message queue means lower possibility of being blocked when enqueueing and higher throughput. But a larger message queue consumes more memory space. The default value used in the sample programs is already big enough.
```java
{{#include docs/examples/java/src/main/java/com/taos/example/highvolume/FastWriteExample.java}}
......@@ -179,7 +179,7 @@ TDENGINE_JDBC_URL="jdbc:TAOS://localhost:6030?user=root&password=taosdata"
**Launch in IDE**
1. Clone TDengine repolitory
1. Clone TDengine repository
```
git clone git@github.com:taosdata/TDengine.git --depth 1
```
......@@ -282,7 +282,7 @@ Sample programs in Python uses multi-process and cross-process message queues.
| run_read_task Function | Read data and distribute to message queues |
| MockDataSource Class | Simulate data source, return next 1,000 rows of each table |
| run_write_task Function | Read as much as possible data from message queue and write in batch |
| SQLWriter Class | Write in SQL and create table utomatically |
| SQLWriter Class | Write in SQL and create table automatically |
| StmtWriter Class | Write in parameter binding mode (not finished yet) |
<details>
......@@ -292,7 +292,7 @@ Sample programs in Python uses multi-process and cross-process message queues.
1. Monitoring process, initializes database and calculating writing speed
2. Reading process (n), reads data from data source
3. Writing process (m), wirtes data into TDengine
3. Writing process (m), writes data into TDengine
`main` function provides 5 parameters:
......@@ -311,7 +311,7 @@ Sample programs in Python uses multi-process and cross-process message queues.
<details>
<summary>run_monitor_process</summary>
Monitoring process initilizes database and monitoring writing speed.
Monitoring process initializes database and monitoring writing speed.
```python
{{#include docs/examples/python/fast_write_example.py:monitor}}
......@@ -372,7 +372,7 @@ SQLWriter class encapsulates the logic of composing SQL and writing data. Please
<summary>Launch Sample Program in Python</summary>
1. Prerequisities
1. Prerequisites
- TDengine client driver has been installed
- Python3 has been installed, the the version >= 3.8
......
docs/en/07-develop/03-insert-data/_cs_line.mdx
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```csharp
{{#include docs/examples/csharp/InfluxDBLineExample.cs}}
{{#include docs/examples/csharp/influxdbLine/Program.cs}}
```
docs/en/07-develop/03-insert-data/_cs_opts_json.mdx
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```csharp
{{#include docs/examples/csharp/OptsJsonExample.cs}}
{{#include docs/examples/csharp/optsJSON/Program.cs}}
```
docs/en/07-develop/03-insert-data/_cs_opts_telnet.mdx
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```csharp
{{#include docs/examples/csharp/OptsTelnetExample.cs}}
{{#include docs/examples/csharp/optsTelnet/Program.cs}}
```
docs/en/07-develop/03-insert-data/_cs_sql.mdx
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```csharp
{{#include docs/examples/csharp/SQLInsertExample.cs}}
{{#include docs/examples/csharp/sqlInsert/Program.cs}}
```
docs/en/07-develop/03-insert-data/_cs_stmt.mdx
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```csharp
{{#include docs/examples/csharp/StmtInsertExample.cs}}
{{#include docs/examples/csharp/stmtInsert/Program.cs}}
```
docs/en/07-develop/04-query-data/_cs.mdx
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```csharp
{{#include docs/examples/csharp/QueryExample.cs}}
{{#include docs/examples/csharp/query/Program.cs}}
```
docs/en/07-develop/04-query-data/_cs_async.mdx
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```csharp
{{#include docs/examples/csharp/AsyncQueryExample.cs}}
{{#include docs/examples/csharp/asyncQuery/Program.cs}}
```
docs/en/07-develop/_sub_cs.mdx
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```csharp
{{#include docs/examples/csharp/SubscribeDemo.cs}}
{{#include docs/examples/csharp/subscribe/Program.cs}}
```
\ No newline at end of file
docs/en/07-develop/index.md
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......@@ -3,6 +3,7 @@ title: Developer Guide
---
Before creating an application to process time-series data with TDengine, consider the following:
1. Choose the method to connect to TDengine. TDengine offers a REST API that can be used with any programming language. It also has connectors for a variety of languages.
2. Design the data model based on your own use cases. Consider the main [concepts](/concept/) of TDengine, including "one table per data collection point" and the supertable. Learn about static labels, collected metrics, and subtables. Depending on the characteristics of your data and your requirements, you decide to create one or more databases and design a supertable schema that fit your data.
3. Decide how you will insert data. TDengine supports writing using standard SQL, but also supports schemaless writing, so that data can be written directly without creating tables manually.
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docs/en/12-taos-sql/01-data-type.md
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docs/en/12-taos-sql/04-stable.md
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......@@ -49,6 +49,55 @@ The preceding SQL statement can be used in migration scenarios. It returns the C
DESCRIBE [db_name.]stb_name;
```
### View tag information for all child tables in the supertable
```
taos> SHOW TABLE TAGS FROM st1;
tbname | id | loc |
======================================================================
st1s1 | 1 | beijing |
st1s2 | 2 | shanghai |
st1s3 | 3 | guangzhou |
Query OK, 3 rows in database (0.004455s)
```
The first column of the returned result set is the subtable name, and the subsequent columns are the tag columns.
If you already know the name of the tag column, you can use the following statement to get the value of the specified tag column.
```
taos> SELECT DISTINCT TBNAME, id FROM st1;
tbname | id |
===============================================
st1s1 | 1 |
st1s2 | 2 |
st1s3 | 3 |
Query OK, 3 rows in database (0.002891s)
```
It should be noted that DISTINCT and TBNAME in the SELECT statement are essential, and TDengine will optimize the statement according to them, so that it can return the tag value correctly and quickly even when there is no data or a lot of data.
### View the tag information of a subtable
```
taos> SHOW TAGS FROM st1s1;
table_name | db_name | stable_name | tag_name | tag_type | tag_value |
============================================================================================================
st1s1 | test | st1 | id | INT | 1 |
st1s1 | test | st1 | loc | VARCHAR(20) | beijing |
Query OK, 2 rows in database (0.003684s)
```
Similarly, you can also use the SELECT statement to query the value of the specified tag column.
```
taos> SELECT DISTINCT TBNAME, id, loc FROM st1s1;
tbname | id | loc |
==================================================
st1s1 | 1 | beijing |
Query OK, 1 rows in database (0.001884s)
```
## Drop STable
```
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docs/en/12-taos-sql/05-insert.md
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......@@ -16,6 +16,8 @@ INSERT INTO
[(field1_name, ...)]
VALUES (field1_value, ...) [(field1_value2, ...) ...] | FILE csv_file_path
...];
INSERT INTO tb_name [(field1_name, ...)] subquery
```
**Timestamps**
......@@ -37,7 +39,7 @@ INSERT INTO
4. The FILE clause inserts tags or data from a comma-separates values (CSV) file. Do not include headers in your CSV files.
5. A single INSERT statement can write data to multiple tables.
5. A single `INSERT ... VALUES` statement and `INSERT ... FILE` statement can write data to multiple tables.
6. The INSERT statement is fully parsed before being executed, so that if any element of the statement fails, the entire statement will fail. For example, the following statement will not create a table because the latter part of the statement is invalid:
......@@ -47,6 +49,8 @@ INSERT INTO
7. However, an INSERT statement that writes data to multiple subtables can succeed for some tables and fail for others. This situation is caused because vnodes perform write operations independently of each other. One vnode failing to write data does not affect the ability of other vnodes to write successfully.
8. Data from TDengine can be inserted into a specified table using the `INSERT ... subquery` statement. Arbitrary query statements are supported. This syntax can only be used for subtables and normal tables, and does not support automatic table creation.
## Insert a Record
Single row or multiple rows specified with VALUES can be inserted into a specific table. A single row is inserted using the below statement.
......@@ -104,11 +108,11 @@ INSERT INTO d21001 USING meters TAGS ('California.SanFrancisco', 2) VALUES ('202
## Insert Rows From A File
Besides using `VALUES` to insert one or multiple rows, the data to be inserted can also be prepared in a CSV file with comma as separator and each field value quoted by single quotes. Table definition is not required in the CSV file. For example, if file "/tmp/csvfile.csv" contains the below data:
Besides using `VALUES` to insert one or multiple rows, the data to be inserted can also be prepared in a CSV file with comma as separator and timestamp and string field value quoted by single quotes. Table definition is not required in the CSV file. For example, if file "/tmp/csvfile.csv" contains the below data:
```
'2021-07-13 14:07:34.630', '10.2', '219', '0.32'
'2021-07-13 14:07:35.779', '10.15', '217', '0.33'
'2021-07-13 14:07:34.630', 10.2, 219, 0.32
'2021-07-13 14:07:35.779', 10.15, 217, 0.33
```
Then data in this file can be inserted by the SQL statement below:
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docs/en/12-taos-sql/06-select.md
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......@@ -11,7 +11,7 @@ SELECT {DATABASE() | CLIENT_VERSION() | SERVER_VERSION() | SERVER_STATUS() | NOW
SELECT [DISTINCT] select_list
from_clause
[WHERE condition]
[PARTITION BY tag_list]
[partition_by_clause]
[window_clause]
[group_by_clause]
[order_by_clasue]
......@@ -52,6 +52,9 @@ window_clause: {
| STATE_WINDOW(col)
| INTERVAL(interval_val [, interval_offset]) [SLIDING (sliding_val)] [WATERMARK(watermark_val)] [FILL(fill_mod_and_val)]
partition_by_clause:
PARTITION BY expr [, expr] ...
group_by_clause:
GROUP BY expr [, expr] ... HAVING condition
......@@ -66,9 +69,9 @@ order_expr:
A query can be performed on some or all columns. Data and tag columns can all be included in the SELECT list.
## Wildcards
### Wildcards
You can use an asterisk (\*) as a wildcard character to indicate all columns. For standard tables, the asterisk indicates only data columns. For supertables and subtables, tag columns are also included.
You can use an asterisk (\*) as a wildcard character to indicate all columns. For normal tables or sub-tables, the asterisk indicates only data columns. For supertables, tag columns are also included when using asterisk (\*).
```sql
SELECT * FROM d1001;
......@@ -136,6 +139,8 @@ taos> SELECT ts, ts AS primary_key_ts FROM d1001;
### Pseudocolumns
**Pseudocolumn:** A pseudo-column behaves like a table column but is not actually stored in the table. You can select from pseudo-columns, but you cannot insert, update, or delete their values. A pseudo-column is also similar to a function without arguments. This section describes these pseudo-columns:
**TBNAME**
The TBNAME pseudocolumn in a supertable contains the names of subtables within the supertable.
......@@ -179,6 +184,14 @@ In TDengine, the first column of all tables must be a timestamp. This column is
select _rowts, max(current) from meters;
```
**\_IROWTS**
The \_IROWTS pseudocolumn can only be used with INTERP function. This pseudocolumn can be used to retrieve the corresponding timestamp column associated with the interpolation results.
```sql
select _irowts, interp(current) from meters range('2020-01-01 10:00:00', '2020-01-01 10:30:00') every(1s) fill(linear);
```
## Query Objects
`FROM` can be followed by a number of tables or super tables, or can be followed by a sub-query.
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docs/en/12-taos-sql/10-function.md
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docs/en/12-taos-sql/12-distinguished.md
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......@@ -46,7 +46,7 @@ The following restrictions apply:
### Other Rules
- The window clause must occur after the PARTITION BY clause and before the GROUP BY clause. It cannot be used with a GROUP BY clause.
- The window clause must occur after the PARTITION BY clause. It cannot be used with a GROUP BY clause.
- SELECT clauses on windows can contain only the following expressions:
- Constants
- Aggregate functions
......@@ -78,7 +78,7 @@ These pseudocolumns occur after the aggregation clause.
1. A huge volume of interpolation output may be returned using `FILL`, so it's recommended to specify the time range when using `FILL`. The maximum number of interpolation values that can be returned in a single query is 10,000,000.
2. The result set is in ascending order of timestamp when you aggregate by time window.
3. If aggregate by window is used on STable, the aggregate function is performed on all the rows matching the filter conditions. If `PARTITION BY` is not used in the query, the result set will be returned in strict ascending order of timestamp; otherwise the result set is not exactly in the order of ascending timestamp in each group.
3. If aggregate by window is used on STable, the aggregate function is performed on all the rows matching the filter conditions. If `PARTITION BY` is not used in the query, the result set will be returned in strict ascending order of timestamp; otherwise the result set will be returned in the order of ascending timestamp in each group.
:::
......@@ -120,6 +120,12 @@ In case of using integer, bool, or string to represent the status of a device at
SELECT COUNT(*), FIRST(ts), status FROM temp_tb_1 STATE_WINDOW(status);
```
Only care about the information of the status window when the status is 2. For example:
```
SELECT * FROM (SELECT COUNT(*) AS cnt, FIRST(ts) AS fst, status FROM temp_tb_1 STATE_WINDOW(status)) t WHERE status = 2;
```
### Session Window
The primary key, i.e. timestamp, is used to determine which session window a row belongs to. As shown in the figure below, if the limit of time interval for the session window is specified as 12 seconds, then the 6 rows in the figure constitutes 2 time windows, [2019-04-28 14:22:10，2019-04-28 14:22:30] and [2019-04-28 14:23:10，2019-04-28 14:23:30] because the time difference between 2019-04-28 14:22:30 and 2019-04-28 14:23:10 is 40 seconds, which exceeds the time interval limit of 12 seconds.
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docs/en/12-taos-sql/20-keywords.md
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......@@ -343,6 +343,7 @@ The following list shows all reserved keywords:
### \_
- \_C0
- \_IROWTS
- \_QDURATION
- \_QEND
- \_QSTART
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docs/en/12-taos-sql/21-node.md
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......@@ -40,30 +40,36 @@ ALTER ALL DNODES dnode_option
dnode_option: {
'resetLog'
| 'balance' value
| 'monitor' value
| 'debugFlag' value
| 'monDebugFlag' value
| 'vDebugFlag' value
| 'mDebugFlag' value
| 'cDebugFlag' value
| 'httpDebugFlag' value
| 'qDebugflag' value
| 'sdbDebugFlag' value
| 'uDebugFlag' value
| 'tsdbDebugFlag' value
| 'sDebugflag' value
| 'rpcDebugFlag' value
| 'dDebugFlag' value
| 'mqttDebugFlag' value
| 'wDebugFlag' value
| 'tmrDebugFlag' value
| 'cqDebugFlag' value
| 'balance' 'value'
| 'monitor' 'value'
| 'debugFlag' 'value'
| 'monDebugFlag' 'value'
| 'vDebugFlag' 'value'
| 'mDebugFlag' 'value'
| 'cDebugFlag' 'value'
| 'httpDebugFlag' 'value'
| 'qDebugflag' 'value'
| 'sdbDebugFlag' 'value'
| 'uDebugFlag' 'value'
| 'tsdbDebugFlag' 'value'
| 'sDebugflag' 'value'
| 'rpcDebugFlag' 'value'
| 'dDebugFlag' 'value'
| 'mqttDebugFlag' 'value'
| 'wDebugFlag' 'value'
| 'tmrDebugFlag' 'value'
| 'cqDebugFlag' 'value'
}
```
The parameters that you can modify through this statement are the same as those located in the dnode configuration file. Modifications that you make through this statement take effect immediately, while modifications to the configuration file take effect when the dnode restarts.
`value` is the value of the parameter, which needs to be in character format. For example, modify the log output level of dnode 1 to debug:
```sql
ALTER DNODE 1 'debugFlag' '143';
```
## Add an Mnode
```sql
......@@ -121,11 +127,11 @@ ALTER LOCAL local_option
local_option: {
'resetLog'
| 'rpcDebugFlag' value
| 'tmrDebugFlag' value
| 'cDebugFlag' value
| 'uDebugFlag' value
| 'debugFlag' value
| 'rpcDebugFlag' 'value'
| 'tmrDebugFlag' 'value'
| 'cDebugFlag' 'value'
| 'uDebugFlag' 'value'
| 'debugFlag' 'value'
}
```
......@@ -136,19 +142,3 @@ The parameters that you can modify through this statement are the same as those
```sql
SHOW LOCAL VARIABLES;
```
## Combine Vgroups
```sql
MERGE VGROUP vgroup_no1 vgroup_no2;
```
If load and data are not properly balanced among vgroups due to the data in different tim lines having different characteristics, you can combine or separate vgroups.
## Separate Vgroups
```sql
SPLIT VGROUP vgroup_no;
```
This statement creates a new vgroup and migrates part of the data from the original vgroup to the new vgroup with consistent hashing. During this process, the original vgroup can continue to provide services normally.
docs/en/12-taos-sql/22-meta.md
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......@@ -11,7 +11,15 @@ TDengine includes a built-in database named `INFORMATION_SCHEMA` to provide acce
4. Future versions of TDengine can add new columns to INFORMATION_SCHEMA tables without affecting existing business systems.
5. It is easier for users coming from other database management systems. For example, Oracle users can query data dictionary tables.
Note: SHOW statements are still supported for the convenience of existing users.
:::info
- SHOW statements are still supported for the convenience of existing users.
- Some columns in the system table may be keywords, and you need to use the escape character '\`' when querying, for example, to query the VGROUPS in the database `test`:
```sql
select `vgroups` from ins_databases where name = 'test';
```
:::
This document introduces the tables of INFORMATION_SCHEMA and their structure.
......@@ -21,8 +29,8 @@ Provides information about dnodes. Similar to SHOW DNODES.
| # | **Column** | **Data Type** | **Description** |
| --- | :------------: | ------------ | ------------------------- |
| 1 | vnodes | SMALLINT | Current number of vnodes on the dnode |
| 2 | vnodes | SMALLINT | Maximum number of vnodes on the dnode |
| 1 | vnodes | SMALLINT | Current number of vnodes on the dnode. It should be noted that `vnodes` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 2 | support_vnodes | SMALLINT | Maximum number of vnodes on the dnode |
| 3 | status | BINARY(10) | Current status |
| 4 | note | BINARY(256) | Reason for going offline or other information |
| 5 | id | SMALLINT | Dnode ID |
......@@ -41,16 +49,6 @@ Provides information about mnodes. Similar to SHOW MNODES.
| 4 | role_time | TIMESTAMP | Time at which the current role was assumed |
| 5 | create_time | TIMESTAMP | Creation time |
## INS_MODULES
Provides information about modules. Similar to SHOW MODULES.
| # | **Column** | **Data Type** | **Description** |
| --- | :------: | ------------ | ---------- |
| 1 | id | SMALLINT | Module ID |
| 2 | endpoint | BINARY(134) | Module endpoint |
| 3 | module | BINARY(10) | Module status |
## INS_QNODES
Provides information about qnodes. Similar to SHOW QNODES.
......@@ -80,29 +78,33 @@ Provides information about user-created databases. Similar to SHOW DATABASES.
| 1| name| BINARY(32)| Database name |
| 2 | create_time | TIMESTAMP | Creation time |
| 3 | ntables | INT | Number of standard tables and subtables (not including supertables) |
| 4 | vgroups | INT | Number of vgroups |
| 6 | replica | INT | Number of replicas |
| 7 | quorum | BINARY(3) | Strong consistency |
| 8 | duration | INT | Duration for storage of single files |
| 9 | keep | INT | Data retention period |
| 10 | buffer | INT | Write cache size per vnode, in MB |
| 11 | pagesize | INT | Page size for vnode metadata storage engine, in KB |
| 12 | pages | INT | Number of pages per vnode metadata storage engine |
| 13 | minrows | INT | Maximum number of records per file block |
| 14 | maxrows | INT | Minimum number of records per file block |
| 15 | comp | INT | Compression method |
| 16 | precision | BINARY(2) | Time precision |
| 4 | vgroups | INT | Number of vgroups. It should be noted that `vnodes` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 6 | replica | INT | Number of replicas. It should be noted that `replica` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 7 | strict | BINARY(3) | Strong consistency. It should be noted that `strict` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 8 | duration | INT | Duration for storage of single files. It should be noted that `duration` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 9 | keep | INT | Data retention period. It should be noted that `keep` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 10 | buffer | INT | Write cache size per vnode, in MB. It should be noted that `buffer` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 11 | pagesize | INT | Page size for vnode metadata storage engine, in KB. It should be noted that `pagesize` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 12 | pages | INT | Number of pages per vnode metadata storage engine. It should be noted that `pages` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 13 | minrows | INT | Maximum number of records per file block. It should be noted that `minrows` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 14 | maxrows | INT | Minimum number of records per file block. It should be noted that `maxrows` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 15 | comp | INT | Compression method. It should be noted that `comp` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 16 | precision | BINARY(2) | Time precision. It should be noted that `precision` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 17 | status | BINARY(10) | Current database status |
| 18 | retention | BINARY (60) | Aggregation interval and retention period |
| 19 | single_stable | BOOL | Whether the database can contain multiple supertables |
| 20 | cachemodel | BINARY(60) | Caching method for the newest data |
| 21 | cachesize | INT | Memory per vnode used for caching the newest data |
| 22 | wal_level | INT | WAL level |
| 23 | wal_fsync_period | INT | Interval at which WAL is written to disk |
| 24 | wal_retention_period | INT | WAL retention period |
| 25 | wal_retention_size | INT | Maximum WAL size |
| 26 | wal_roll_period | INT | WAL rotation period |
| 27 | wal_segment_size | WAL file size |
| 18 | retentions | BINARY (60) | Aggregation interval and retention period. It should be noted that `retentions` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 19 | single_stable | BOOL | Whether the database can contain multiple supertables. It should be noted that `single_stable` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 20 | cachemodel | BINARY(60) | Caching method for the newest data. It should be noted that `cachemodel` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 21 | cachesize | INT | Memory per vnode used for caching the newest data. It should be noted that `cachesize` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 22 | wal_level | INT | WAL level. It should be noted that `wal_level` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 23 | wal_fsync_period | INT | Interval at which WAL is written to disk. It should be noted that `wal_fsync_period` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 24 | wal_retention_period | INT | WAL retention period. It should be noted that `wal_retention_period` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 25 | wal_retention_size | INT | Maximum WAL size. It should be noted that `wal_retention_size` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 26 | wal_roll_period | INT | WAL rotation period. It should be noted that `wal_roll_period` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 27 | wal_segment_size | BIGINT | WAL file size. It should be noted that `wal_segment_size` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 28 | stt_trigger | SMALLINT | The threshold for number of files to trigger file merging. It should be noted that `stt_trigger` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 29 | table_prefix | SMALLINT | The prefix length in the table name that is ignored when distributing table to vnode based on table name. It should be noted that `table_prefix` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 30 | table_suffix | SMALLINT | The suffix length in the table name that is ignored when distributing table to vnode based on table name. It should be noted that `table_suffix` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 31 | tsdb_pagesize | INT | The page size for internal storage engine, its unit is KB. It should be noted that `tsdb_pagesize` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
## INS_FUNCTIONS
......@@ -111,8 +113,8 @@ Provides information about user-defined functions.
| # | **Column** | **Data Type** | **Description** |
| --- | :---------: | ------------ | -------------- |
| 1 | name | BINARY(64) | Function name |
| 2 | comment | BINARY(255) | Function description |
| 3 | aggregate | INT | Whether the UDF is an aggregate function |
| 2 | comment | BINARY(255) | Function description. It should be noted that `comment` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 3 | aggregate | INT | Whether the UDF is an aggregate function. It should be noted that `aggregate` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 4 | output_type | BINARY(31) | Output data type |
| 5 | create_time | TIMESTAMP | Creation time |
| 6 | code_len | INT | Length of the source code |
......@@ -141,12 +143,12 @@ Provides information about supertables.
| 2 | db_name | BINARY(64) | All databases in the supertable |
| 3 | create_time | TIMESTAMP | Creation time |
| 4 | columns | INT | Number of columns |
| 5 | tags | INT | Number of tags |
| 5 | tags | INT | Number of tags. It should be noted that `tags` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 6 | last_update | TIMESTAMP | Last updated time |
| 7 | table_comment | BINARY(1024) | Table description |
| 8 | watermark | BINARY(64) | Window closing time |
| 9 | max_delay | BINARY(64) | Maximum delay for pushing stream processing results |
| 10 | rollup | BINARY(128) | Rollup aggregate function |
| 8 | watermark | BINARY(64) | Window closing time. It should be noted that `watermark` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 9 | max_delay | BINARY(64) | Maximum delay for pushing stream processing results. It should be noted that `max_delay` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 10 | rollup | BINARY(128) | Rollup aggregate function. It should be noted that `rollup` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
## INS_TABLES
......@@ -161,7 +163,7 @@ Provides information about standard tables and subtables.
| 5 | stable_name | BINARY(192) | Supertable name |
| 6 | uid | BIGINT | Table ID |
| 7 | vgroup_id | INT | Vgroup ID |
| 8 | ttl | INT | Table time-to-live |
| 8 | ttl | INT | Table time-to-live. It should be noted that `ttl` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 9 | table_comment | BINARY(1024) | Table description |
| 10 | type | BINARY(20) | Table type |
......@@ -194,13 +196,13 @@ Provides information about TDengine Enterprise Edition permissions.
| --- | :---------: | ------------ | -------------------------------------------------- |
| 1 | version | BINARY(9) | Whether the deployment is a licensed or trial version |
| 2 | cpu_cores | BINARY(9) | CPU cores included in license |
| 3 | dnodes | BINARY(10) | Dnodes included in license |
| 4 | streams | BINARY(10) | Streams included in license |
| 5 | users | BINARY(10) | Users included in license |
| 6 | streams | BINARY(10) | Accounts included in license |
| 7 | storage | BINARY(21) | Storage space included in license |
| 8 | connections | BINARY(21) | Client connections included in license |
| 9 | databases | BINARY(11) | Databases included in license |
| 3 | dnodes | BINARY(10) | Dnodes included in license. It should be noted that `dnodes` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 4 | streams | BINARY(10) | Streams included in license. It should be noted that `streams` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 5 | users | BINARY(10) | Users included in license. It should be noted that `users` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 6 | accounts | BINARY(10) | Accounts included in license. It should be noted that `accounts` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 7 | storage | BINARY(21) | Storage space included in license. It should be noted that `storage` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 8 | connections | BINARY(21) | Client connections included in license. It should be noted that `connections` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 9 | databases | BINARY(11) | Databases included in license. It should be noted that `databases` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 10 | speed | BINARY(9) | Write speed specified in license (data points per second) |
| 11 | querytime | BINARY(9) | Total query time specified in license |
| 12 | timeseries | BINARY(21) | Number of metrics included in license |
......@@ -215,7 +217,7 @@ Provides information about vgroups.
| --- | :-------: | ------------ | ------------------------------------------------------ |
| 1 | vgroup_id | INT | Vgroup ID |
| 2 | db_name | BINARY(32) | Database name |
| 3 | tables | INT | Tables in vgroup |
| 3 | tables | INT | Tables in vgroup. It should be noted that `tables` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 4 | status | BINARY(10) | Vgroup status |
| 5 | v1_dnode | INT | Dnode ID of first vgroup member |
| 6 | v1_status | BINARY(10) | Status of first vgroup member |
......@@ -234,7 +236,7 @@ Provides system configuration information.
| # | **Column** | **Data Type** | **Description** |
| --- | :------: | ------------ | ------------ |
| 1 | name | BINARY(32) | Parameter |
| 2 | value | BINARY(64) | Value |
| 2 | value | BINARY(64) | Value. It should be noted that `value` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
## INS_DNODE_VARIABLES
......@@ -244,7 +246,7 @@ Provides dnode configuration information.
| --- | :------: | ------------ | ------------ |
| 1 | dnode_id | INT | Dnode ID |
| 2 | name | BINARY(32) | Parameter |
| 3 | value | BINARY(64) | Value |
| 3 | value | BINARY(64) | Value. It should be noted that `value` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
## INS_TOPICS
......@@ -275,5 +277,5 @@ Provides dnode configuration information.
| 5 | source_db | BINARY(64) | Source database |
| 6 | target_db | BIANRY(64) | Target database |
| 7 | target_table | BINARY(192) | Target table |
| 8 | watermark | BIGINT | Watermark (see stream processing documentation) |
| 9 | trigger | INT | Method of triggering the result push (see stream processing documentation) |
| 8 | watermark | BIGINT | Watermark (see stream processing documentation). It should be noted that `watermark` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
| 9 | trigger | INT | Method of triggering the result push (see stream processing documentation). It should be noted that `trigger` is a TDengine keyword and needs to be escaped with ` when used as a column name. |
docs/en/12-taos-sql/24-show.md
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......@@ -13,14 +13,6 @@ SHOW APPS;
Shows all clients (such as applications) that connect to the cluster.
## SHOW BNODES
```sql
SHOW BNODES;
```
Shows information about backup nodes (bnodes) in the system.
## SHOW CLUSTER
```sql
......@@ -128,14 +120,6 @@ SHOW MNODES;
Shows information about mnodes in the system.
## SHOW MODULES
```sql
SHOW MODULES;
```
Shows information about modules installed in the system.
## SHOW QNODES
```sql
......@@ -154,14 +138,6 @@ Shows information about the storage space allowed by the license.
Note: TDengine Enterprise Edition only.
## SHOW SNODES
```sql
SHOW SNODES;
```
Shows information about stream processing nodes (snodes) in the system.
## SHOW STABLES
```sql
......
docs/en/12-taos-sql/28-recovery.md
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......@@ -16,10 +16,10 @@ You can use the SHOW CONNECTIONS statement to find the conn_id.
## Terminate a Query
```sql
SHOW QUERY query_id;
KILL QUERY kill_id;
```
You can use the SHOW QUERIES statement to find the query_id.
You can use the SHOW QUERIES statement to find the kill_id.
## Terminate a Transaction
......
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......@@ -11,12 +11,13 @@ description: "This document explains how TDengine SQL has changed in version 3.0
| 1 | VARCHAR | Added | Alias of BINARY.
| 2 | TIMESTAMP literal | Added | TIMESTAMP 'timestamp format' syntax now supported.
| 3 | _ROWTS pseudocolumn | Added | Indicates the primary key. Alias of _C0.
| 4 | INFORMATION_SCHEMA | Added | Database for system metadata containing all schema definitions
| 5 | PERFORMANCE_SCHEMA | Added | Database for system performance information.
| 6 | Connection queries | Deprecated | Connection queries are no longer supported. The syntax and interfaces are deprecated.
| 7 | Mixed operations | Enhanced | Mixing scalar and vector operations in queries has been enhanced and is supported in all SELECT clauses.
| 8 | Tag operations | Added | Tag columns can be used in queries and clauses like data columns.
| 9 | Timeline clauses and time functions in supertables | Enhanced | When PARTITION BY is not used, data in supertables is merged into a single timeline.
| 4 | _IROWTS pseudocolumn | Added | Used to retrieve timestamps with INTERP function.
| 5 | INFORMATION_SCHEMA | Added | Database for system metadata containing all schema definitions
| 6 | PERFORMANCE_SCHEMA | Added | Database for system performance information.
| 7 | Connection queries | Deprecated | Connection queries are no longer supported. The syntax and interfaces are deprecated.
| 8 | Mixed operations | Enhanced | Mixing scalar and vector operations in queries has been enhanced and is supported in all SELECT clauses.
| 9 | Tag operations | Added | Tag columns can be used in queries and clauses like data columns.
| 10 | Timeline clauses and time functions in supertables | Enhanced | When PARTITION BY is not used, data in supertables is merged into a single timeline.
## SQL Syntax
......
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......@@ -6,7 +6,7 @@ title: Problem Diagnostics
When a TDengine client is unable to access a TDengine server, the network connection between the client side and the server side must be checked to find the root cause and resolve problems.
Diagnostics for network connections can be executed between Linux and Linux or between Linux and Windows.
Diagnostics for network connections can be executed between Linux/Windows/macOS.
Diagnostic steps：
......
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......@@ -67,7 +67,7 @@ The following return value results indicate that the verification passed.
## HTTP request URL format
```text
http://<fqdn>:<port>/rest/sql/[db_name]
http://<fqdn>:<port>/rest/sql/[db_name][?tz=timezone]
```
Parameter Description:
......@@ -75,6 +75,7 @@ Parameter Description:
- fqnd: FQDN or IP address of any host in the cluster.
- port: httpPort configuration item in the configuration file, default is 6041.
- db_name: Optional parameter that specifies the default database name for the executed SQL command.
- tz: Optional parameter that specifies the timezone of the returned time, following the IANA Time Zone rules, e.g. `America/New_York`.
For example, `http://h1.taos.com:6041/rest/sql/test` is a URL to `h1.taos.com:6041` and sets the default database name to `test`.
......@@ -97,13 +98,13 @@ The HTTP request's BODY is a complete SQL command, and the data table in the SQL
Use `curl` to initiate an HTTP request with a custom authentication method, with the following syntax.
```bash
curl -L -H "Authorization: Basic <TOKEN>" -d "<SQL>" <ip>:<PORT>/rest/sql/[db_name]
curl -L -H "Authorization: Basic <TOKEN>" -d "<SQL>" <ip>:<PORT>/rest/sql/[db_name][?tz=timezone]
```
or
```bash
curl -L -u username:password -d "<SQL>" <ip>:<PORT>/rest/sql/[db_name]
curl -L -u username:password -d "<SQL>" <ip>:<PORT>/rest/sql/[db_name][?tz=timezone]
```
where `TOKEN` is the string after Base64 encoding of `{username}:{password}`, e.g. `root:taosdata` is encoded as `cm9vdDp0YW9zZGF0YQ==`..
......@@ -123,7 +124,7 @@ where `TOKEN` is the string after Base64 encoding of `{username}:{password}`, e.
### HTTP body structure
#### Successful Operation
#### Successful Insert Operation
Example:
......@@ -143,7 +144,7 @@ Description:
- rows: (`int`) Only returns `1`.
- data: (`[][]any`) Returns the number of rows affected.
#### Successful Query
#### Successful Query Operation
Example:
......
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......@@ -13,11 +13,13 @@ After TDengine server or client installation, `taos.h` is located at
- Linux：`/usr/local/taos/include`
- Windows：`C:\TDengine\include`
- macOS：`/usr/local/include`
The dynamic libraries for the TDengine client driver are located in.
- Linux: `/usr/local/taos/driver/libtaos.so`
- Windows: `C:\TDengine\taos.dll`
- macOS: `/usr/local/lib/libtaos.dylib`
## Supported platforms
......@@ -119,7 +121,7 @@ This section shows sample code for standard access methods to TDengine clusters
:::info
More example code and downloads are available at [GitHub](https://github.com/taosdata/TDengine/tree/develop/examples/c).
You can find it in the installation directory under the `examples/c` path. This directory has a makefile and can be compiled under Linux by executing `make` directly.
You can find it in the installation directory under the `examples/c` path. This directory has a makefile and can be compiled under Linux/macOS by executing `make` directly.
**Hint:** When compiling in an ARM environment, please remove `-msse4.2` from the makefile. This option is only supported on the x64/x86 hardware platforms.
:::
......
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......@@ -109,7 +109,7 @@ TDengine's JDBC URL specification format is:
For establishing connections, native connections differ slightly from REST connections.
<Tabs defaultValue="native">
<Tabs defaultValue="rest">
<TabItem value="native" label="native connection">
```java
......@@ -120,13 +120,13 @@ Connection conn = DriverManager.getConnection(jdbcUrl);
In the above example, TSDBDriver, which uses a JDBC native connection, establishes a connection to a hostname `taosdemo.com`, port `6030` (the default port for TDengine), and a database named `test`. In this URL, the user name `user` is specified as `root`, and the `password` is `taosdata`.
Note: With JDBC native connections, taos-jdbcdriver relies on the client driver (`libtaos.so` on Linux; `taos.dll` on Windows).
Note: With JDBC native connections, taos-jdbcdriver relies on the client driver (`libtaos.so` on Linux; `taos.dll` on Windows; `libtaos.dylib` on macOS).
The configuration parameters in the URL are as follows:
- user: Log in to the TDengine username. The default value is 'root'.
- password: User login password, the default value is 'taosdata'.
- cfgdir: client configuration file directory path, default '/etc/taos' on Linux OS, 'C:/TDengine/cfg' on Windows OS.
- cfgdir: client configuration file directory path, default '/etc/taos' on Linux OS, 'C:/TDengine/cfg' on Windows OS, '/etc/taos' on macOS.
- charset: The character set used by the client, the default value is the system character set.
- locale: Client locale, by default, use the system's current locale.
- timezone: The time zone used by the client, the default value is the system's current time zone.
......@@ -172,7 +172,7 @@ In the above example, JDBC uses the client's configuration file to establish a c
In TDengine, as long as one node in firstEp and secondEp is valid, the connection to the cluster can be established normally.
The configuration file here refers to the configuration file on the machine where the application that calls the JDBC Connector is located, the default path is `/etc/taos/taos.cfg` on Linux, and the default path is `C://TDengine/cfg/taos.cfg` on Windows.
The configuration file here refers to the configuration file on the machine where the application that calls the JDBC Connector is located, the default path is `/etc/taos/taos.cfg` on Linux, the default path is `C://TDengine/cfg/taos.cfg` on Windows, and the default path is `/etc/taos/taos.cfg` on macOS.
</TabItem>
<TabItem value="rest" label="REST connection">
......@@ -261,7 +261,7 @@ The configuration parameters in properties are as follows.
- TSDBDriver.PROPERTY_KEY_PASSWORD: user login password, default value 'taosdata'.
- TSDBDriver.PROPERTY_KEY_BATCH_LOAD: true: pull the result set in batch when executing query; false: pull the result set row by row. The default value is: false.
- TSDBDriver.PROPERTY_KEY_BATCH_ERROR_IGNORE: true: when executing executeBatch of Statement, if there is a SQL execution failure in the middle, continue to execute the following sql. false: no longer execute any statement after the failed SQL. The default value is: false.
- TSDBDriver.PROPERTY_KEY_CONFIG_DIR: only works when using JDBC native connection. Client configuration file directory path, default value `/etc/taos` on Linux OS, default value `C:/TDengine/cfg` on Windows OS.
- TSDBDriver.PROPERTY_KEY_CONFIG_DIR: only works when using JDBC native connection. Client configuration file directory path, default value `/etc/taos` on Linux OS, default value `C:/TDengine/cfg` on Windows OS, default value `/etc/taos` on macOS.
- TSDBDriver.PROPERTY_KEY_CHARSET: In the character set used by the client, the default value is the system character set.
- TSDBDriver.PROPERTY_KEY_LOCALE: this only takes effect when using JDBC native connection. Client language environment, the default value is system current locale.
- TSDBDriver.PROPERTY_KEY_TIME_ZONE: only takes effect when using JDBC native connection. In the time zone used by the client, the default value is the system's current time zone.
......@@ -896,7 +896,7 @@ The source code of the sample application is under `TDengine/examples/JDBC`:
**Cause**: The program did not find the dependent native library `taos`.
**Solution**: On Windows you can copy `C:\TDengine\driver\taos.dll` to the `C:\Windows\System32` directory, on Linux the following soft link will be created `ln -s /usr/local/taos/driver/libtaos.so.x.x.x.x /usr/lib/libtaos.so` will work.
**Solution**: On Windows you can copy `C:\TDengine\driver\taos.dll` to the `C:\Windows\System32` directory, on Linux the following soft link will be created `ln -s /usr/local/taos/driver/libtaos.so.x.x.x.x /usr/lib/libtaos.so` will work, on macOS the lib soft link will be `/usr/local/lib/libtaos.dylib`.
3. java.lang.UnsatisfiedLinkError: taos.dll Can't load AMD 64 bit on a IA 32-bit platform
......
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......@@ -7,7 +7,6 @@ title: TDengine Go Connector
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
import Preparition from "./_preparation.mdx"
import GoInsert from "../../07-develop/03-insert-data/_go_sql.mdx"
import GoInfluxLine from "../../07-develop/03-insert-data/_go_line.mdx"
import GoOpenTSDBTelnet from "../../07-develop/03-insert-data/_go_opts_telnet.mdx"
......@@ -113,7 +112,7 @@ username:password@protocol(address)/dbname?param=value
```
### Connecting via connector
<Tabs defaultValue="native">
<Tabs defaultValue="rest">
<TabItem value="native" label="native connection">
_taosSql_ implements Go's `database/sql/driver` interface via cgo. You can use the [`database/sql`](https://golang.org/pkg/database/sql/) interface by simply introducing the driver.
......@@ -176,6 +175,37 @@ func main() {
}
```
</TabItem>
<TabItem value="WebSocket" label="WebSocket connection">
_taosRestful_ implements Go's `database/sql/driver` interface via `http client`. You can use the [`database/sql`](https://golang.org/pkg/database/sql/) interface by simply introducing the driver (driver-go minimum version 3.0.2).
Use `taosWS` as `driverName` and use a correct [DSN](#DSN) as `dataSourceName` with the following parameters supported by the DSN.
* `writeTimeout` The timeout to send data via WebSocket.
* `readTimeout` The timeout to receive response data via WebSocket.
For example:
```go
package main
import (
"database/sql"
"fmt"
_ "github.com/taosdata/driver-go/v3/taosWS"
)
func main() {
var taosUri = "root:taosdata@ws(localhost:6041)/"
taos, err := sql.Open("taosWS", taosUri)
if err != nil {
fmt.Println("failed to connect TDengine, err:", err)
return
}
}
```
</TabItem>
</Tabs>
## Usage examples
......@@ -331,7 +361,7 @@ Creates consumer group.
* `func (c *Consumer) Subscribe(topics []string) error`
Subscribes to a topic.
Subscribes to topics.
* `func (c *Consumer) Poll(timeout time.Duration) (*Result, error)`
......@@ -409,6 +439,30 @@ Close consumer.
Closes the parameter binding.
### Subscribe via WebSocket
* `func NewConsumer(config *Config) (*Consumer, error)`
Creates consumer group.
* `func (c *Consumer) Subscribe(topic []string) error`
Subscribes to topics.
* `func (c *Consumer) Poll(timeout time.Duration) (*Result, error)`
Polling information.
* `func (c *Consumer) Commit(messageID uint64) error`
Commit information.
* `func (c *Consumer) Close() error`
Close consumer.
For a complete example see [GitHub sample file](https://github.com/taosdata/driver-go/blob/3.0/examples/tmqoverws/main.go)
## API Reference
Full API see [driver-go documentation](https://pkg.go.dev/github.com/taosdata/driver-go/v3)
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......@@ -55,26 +55,28 @@ taos = "*"
</TabItem>
<TabItem value="native" label="native connection only">
<TabItem value="rest" label="Websocket only">
In `cargo.toml`, add [taos][taos] and enable the native feature:
In `cargo.toml`, add [taos][taos] and enable the ws feature:
```toml
[dependencies]
taos = { version = "*", default-features = false, features = ["native"] }
taos = { version = "*", default-features = false, features = ["ws"] }
```
</TabItem>
<TabItem value="rest" label="Websocket only">
In `cargo.toml`, add [taos][taos] and enable the ws feature:
<TabItem value="native" label="native connection only">
In `cargo.toml`, add [taos][taos] and enable the native feature:
```toml
[dependencies]
taos = { version = "*", default-features = false, features = ["ws"] }
taos = { version = "*", default-features = false, features = ["native"] }
```
</TabItem>
</Tabs>
## Establishing a connection
......@@ -116,7 +118,7 @@ The parameters are described as follows:
- **protocol**: Specify which connection method to use. For example, `taos+ws://localhost:6041` uses Websocket to establish connections.
- **username/password**: Username and password used to create connections.
- **host/port**: Specifies the server and port to establish a connection. If you do not specify a hostname or port, native connections default to `localhost:6030` and Websocket connections default to `localhost:6041`.
- **database**: Specify the default database to connect to.
- **database**: Specify the default database to connect to. It's optional.
- **params**：Optional parameters.
A sample DSN description string is as follows:
......
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......@@ -32,7 +32,7 @@ We recommend using the latest version of `taospy`, regardless of the version of
### Preparation
1. Install Python. Python >= 3.6 is recommended. If Python is not available on your system, refer to the [Python BeginnersGuide](https://wiki.python.org/moin/BeginnersGuide/Download) to install it.
1. Install Python. Python >= 3.7 is recommended. If Python is not available on your system, refer to the [Python BeginnersGuide](https://wiki.python.org/moin/BeginnersGuide/Download) to install it.
2. Install [pip](https://pypi.org/project/pip/). In most cases, the Python installer comes with the pip utility. If not, please refer to [pip documentation](https://pip.pypa.io/en/stable/installation/) to install it.
If you use a native connection, you will also need to [Install Client Driver](/reference/connector#Install-Client-Driver). The client install package includes the TDengine client dynamic link library (`libtaos.so` or `taos.dll`) and the TDengine CLI.
......@@ -80,7 +80,7 @@ pip3 install git+https://github.com/taosdata/taos-connector-python.git
### Verify
<Tabs groupId="connect" default="native">
<Tabs defaultValue="rest">
<TabItem value="native" label="native connection">
For native connection, you need to verify that both the client driver and the Python connector itself are installed correctly. The client driver and Python connector have been installed properly if you can successfully import the `taos` module. In the Python Interactive Shell, you can type.
......@@ -118,10 +118,10 @@ Requirement already satisfied: taospy in c:\users\username\appdata\local\program
Before establishing a connection with the connector, we recommend testing the connectivity of the local TDengine CLI to the TDengine cluster.
<Tabs>
<Tabs defaultValue="rest">
<TabItem value="native" label="native connection">
Ensure that the TDengine instance is up and that the FQDN of the machines in the cluster (the FQDN defaults to hostname if you are starting a standalone version) can be resolved locally, by testing with the `ping` command.
Ensure that the TDengine instance is up and that the FQDN of the machines in the cluster (the FQDN defaults to hostname if you are starting a stand-alone version) can be resolved locally, by testing with the `ping` command.
```
ping <FQDN>
......@@ -173,7 +173,7 @@ If the test is successful, it will output the server version information, e.g.
The following example code assumes that TDengine is installed locally and that the default configuration is used for both FQDN and serverPort.
<Tabs>
<Tabs defaultValue="rest">
<TabItem value="native" label="native connection" groupId="connect">
```python
......@@ -186,7 +186,7 @@ All arguments of the `connect()` function are optional keyword arguments. The fo
- `user` : The TDengine user name. The default value is `root`.
- `password` : TDengine user password. The default value is `taosdata`.
- `port` : The starting port of the data node to connect to, i.e., the serverPort configuration. The default value is 6030, which will only take effect if the host parameter is provided.
- `config` : The path to the client configuration file. On Windows systems, the default is `C:\TDengine\cfg`. The default is `/etc/taos/` on Linux systems.
- `config` : The path to the client configuration file. On Windows systems, the default is `C:\TDengine\cfg`. The default is `/etc/taos/` on Linux/macOS.
- `timezone` : The timezone used to convert the TIMESTAMP data in the query results to python `datetime` objects. The default is the local timezone.
:::warning
......@@ -219,7 +219,7 @@ All arguments to the `connect()` function are optional keyword arguments. The fo
### Basic Usage
<Tabs default="native" groupId="connect">
<Tabs defaultValue="rest">
<TabItem value="native" label="native connection">
##### TaosConnection class
......@@ -289,7 +289,7 @@ For a more detailed description of the `sql()` method, please refer to [RestClie
### Used with pandas
<Tabs default="native" groupId="connect">
<Tabs defaultValue="rest">
<TabItem value="native" label="native connection">
```python
......
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......@@ -85,7 +85,7 @@ If using ARM64 Node.js on Windows 10 ARM, you must add "Visual C++ compilers and
### Install via npm
<Tabs defaultValue="install_native">
<Tabs defaultValue="install_rest">
<TabItem value="install_native" label="Install native connector">
```bash
......@@ -124,7 +124,7 @@ node nodejsChecker.js host=localhost
Please choose to use one of the connectors.
<Tabs defaultValue="native">
<Tabs defaultValue="rest">
<TabItem value="native" label="native connection">
Install and import the `@tdengine/client` package.
......
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......@@ -17,7 +17,7 @@ import CSAsyncQuery from "../../07-develop/04-query-data/_cs_async.mdx"
`TDengine.Connector` is a C# language connector provided by TDengine that allows C# developers to develop C# applications that access TDengine cluster data.
The `TDengine.Connector` connector supports connect to TDengine instances via the TDengine client driver (taosc), providing data writing, querying, subscription, schemaless writing, bind interface, etc. The `TDengine.Connector` currently does not provide a REST connection interface. Developers can write their RESTful application by referring to the [REST API](/reference/rest-api/) documentation.
The `TDengine.Connector` connector supports connect to TDengine instances via the TDengine client driver (taosc), providing data writing, querying, subscription, schemaless writing, bind interface, etc.The `TDengine.Connector` also supports WebSocket and developers can build connection through DSN, which supports data writing, querying, and parameter binding, etc.
This article describes how to install `TDengine.Connector` in a Linux or Windows environment and connect to TDengine clusters via `TDengine.Connector` to perform basic operations such as data writing and querying.
......@@ -35,6 +35,10 @@ Please refer to [version support list](/reference/connector#version-support)
## Supported features
<Tabs defaultValue="native">
<TabItem value="native" label="Native Connection">
1. Connection Management
2. General Query
3. Continuous Query
......@@ -42,6 +46,18 @@ Please refer to [version support list](/reference/connector#version-support)
5. Subscription
6. Schemaless
</TabItem>
<TabItem value="rest" label="WebSocket Connection">
1. Connection Management
2. General Query
3. Continuous Query
4. Parameter Binding
</TabItem>
</Tabs>
## Installation Steps
### Pre-installation preparation
......@@ -74,12 +90,18 @@ cp -r src/ myProject
cd myProject
dotnet add exmaple.csproj reference src/TDengine.csproj
```
</TabItem>
</Tabs>
## Establish a Connection
``` C#
<Tabs defaultValue="rest">
<TabItem value="native" label="Native Connection">
``` csharp
using TDengineDriver;
namespace TDengineExample
......@@ -112,14 +134,62 @@ namespace TDengineExample
```
</TabItem>
<TabItem value="rest" label="WebSocket Connection">
The structure of the DSN description string is as follows:
```text
[<protocol>]://[[<username>:<password>@]<host>:<port>][/<database>][?<p1>=<v1>[&<p2>=<v2>]]
|------------|---|-----------|-----------|------|------|------------|-----------------------|
| protocol | | username | password | host | port | database | params |
```
The parameters are described as follows:
* **protocol**: Specify which connection method to use (support http/ws). For example, `ws://localhost:6041` uses Websocket to establish connections.
* **username/password**: Username and password used to create connections.
* **host/port**: Specifies the server and port to establish a connection. Websocket connections default to `localhost:6041`.
* **database**: Specify the default database to connect to. It's optional.
* **params**：Optional parameters.
A sample DSN description string is as follows:
```text
ws://localhost:6041/test
```
``` csharp
{{#include docs/examples/csharp/wsConnect/Program.cs}}
```
</TabItem>
</Tabs>
## Usage examples
### Write data
#### SQL Write
<Tabs defaultValue="rest">
<TabItem value="native" label="Native Connection">
<CSInsert />
</TabItem>
<TabItem value="rest" label="WebSocket Connection">
```csharp
{{#include docs/examples/csharp/wsInsert/Program.cs}}
```
</TabItem>
</Tabs>
#### InfluxDB line protocol write
<CSInfluxLine />
......@@ -132,12 +202,48 @@ namespace TDengineExample
<CSOpenTSDBJson />
#### Parameter Binding
<Tabs defaultValue="rest">
<TabItem value="native" label="Native Connection">
``` csharp
{{#include docs/examples/csharp/stmtInsert/Program.cs}}
```
</TabItem>
<TabItem value="rest" label="WebSocket Connection">
```csharp
{{#include docs/examples/csharp/wsStmt/Program.cs}}
```
</TabItem>
</Tabs>
### Query data
#### Synchronous Query
<Tabs defaultValue="rest">
<TabItem value="native" label="Native Connection">
<CSQuery />
</TabItem>
<TabItem value="rest" label="WebSocket Connection">
```csharp
{{#include docs/examples/csharp/wsQuery/Program.cs}}
```
</TabItem>
</Tabs>
#### Asynchronous query
<CSAsyncQuery />
......@@ -145,18 +251,21 @@ namespace TDengineExample
### More sample programs
|Sample program |Sample program description |
|--------------------------------------------------------------------------------------------------------------------|------------ --------------------------------|
|--------------------------------------------------------------------------------------------------------------------|--------------------------------------------|
| [CURD](https://github.com/taosdata/taos-connector-dotnet/blob/3.0/examples/Query/Query.cs) | Table creation, data insertion, and query examples with TDengine.Connector |
| [JSON Tag](https://github.com/taosdata/taos-connector-dotnet/blob/3.0/examples/JSONTag) | Writing and querying JSON tag data with TDengine Connector |
| [stmt](https://github.com/taosdata/taos-connector-dotnet/tree/3.0/examples/Stmt) | Parameter binding with TDengine Connector |
| [schemaless](https://github.com/taosdata/taos-connector-dotnet/blob/3.0/examples/schemaless) | Schemaless writes with TDengine Connector |
| [async query](https://github.com/taosdata/taos-connector-dotnet/blob/3.0/examples/AsyncQuery/QueryAsync.cs) | Asynchronous queries with TDengine Connector |
| [TMQ](https://github.com/taosdata/taos-connector-dotnet/blob/3.0/examples/TMQ/TMQ.cs) | Data subscription with TDengine Connector |
| [Subscription](https://github.com/taosdata/taos-connector-dotnet/blob/3.0/examples/TMQ/TMQ.cs) | Subscription example with TDengine Connector |
| [Basic WebSocket Usage](https://github.com/taosdata/taos-connector-dotnet/blob/5a4a7cd0dbcda114447cdc6d0c6dedd8e84a52da/examples/WS/WebSocketSample.cs) | WebSocket basic data in and out with TDengine connector |
| [WebSocket Parameter Binding](https://github.com/taosdata/taos-connector-dotnet/blob/5a4a7cd0dbcda114447cdc6d0c6dedd8e84a52da/examples/WS/WebSocketSTMT.cs) | WebSocket parameter binding example |
## Important update records
| TDengine.Connector | Description |
|--------------------|--------------------------------|
| 3.0.1 | Support WebSocket and Cloud，With function query, insert, and parameter binding|
| 3.0.0 | Supports TDengine 3.0.0.0. TDengine 2.x is not supported. Added `TDengine.Impl.GetData()` interface to deserialize query results. |
| 1.0.7 | Fixed TDengine.Query() memory leak. |
| 1.0.6 | Fix schemaless bug in 1.0.4 and 1.0.5. |
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......@@ -13,11 +13,13 @@ After TDengine client or server is installed, `taos.h` is located at:
- Linux：`/usr/local/taos/include`
- Windows：`C:\TDengine\include`
- macOS：`/usr/local/include`
TDengine client driver is located at:
- Linux: `/usr/local/taos/driver/libtaos.so`
- Windows: `C:\TDengine\taos.dll`
- macOS：`/usr/local/lib/libtaos.dylib`
## Supported Platforms
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......@@ -4,7 +4,7 @@ import PkgListV3 from "/components/PkgListV3";
<PkgListV3 type={1} sys="Linux" />
[All Downloads](../../releases)
[All Downloads](../../releases/tdengine)
2. Unzip
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import PkgListV3 from "/components/PkgListV3";
1. Download the client installation package
<PkgListV3 type={8} sys="macOS" />
[All Downloads](../../releases/tdengine)
2. Execute the installer, select the default value as prompted, and complete the installation. If the installation is blocked, you can right-click or ctrl-click on the installation package and select `Open`.
3. configure taos.cfg
Edit `taos.cfg` file (full path is `/etc/taos/taos.cfg` by default), modify `firstEP` with actual TDengine server's End Point, for example `h1.tdengine.com:6030`
:::tip
1. If the computer does not run the TDengine service but installs the TDengine client driver, then you need to config `firstEP` in `taos.cfg` only, and there is no need to configure `FQDN`;
2. If you encounter the "Unable to resolve FQDN" error, please make sure the FQDN in the `/etc/hosts` file of the current computer is correctly configured, or the DNS service is correctly configured.
:::
docs/en/14-reference/03-connector/_preparation.mdx
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......@@ -6,5 +6,6 @@ Since the TDengine client driver is written in C, using the native connection re
- libtaos.so: After successful installation of TDengine on a Linux system, the dependent Linux version of the client driver `libtaos.so` file will be automatically linked to `/usr/lib/libtaos.so`, which is included in the Linux scannable path and does not need to be specified separately.
- taos.dll: After installing the client on Windows, the dependent Windows version of the client driver taos.dll file will be automatically copied to the system default search path C:/Windows/System32, again without the need to specify it separately.
- libtaos.dylib: After successful installation of TDengine on a mac system, the dependent macOS version of the client driver `libtaos.dylib` file will be automatically linked to `/usr/local/lib/libtaos.dylib`, which is included in the macOS scannable path and does not need to be specified separately.
:::
docs/en/14-reference/03-connector/_verify_linux.mdx
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......@@ -4,11 +4,11 @@ Execute TDengine CLI program `taos` directly from the Linux shell to connect to
$ taos
taos> show databases;
name | create_time | vgroups | ntables | replica | strict | duration | keep | buffer | pagesize | pages | minrows | maxrows | comp | precision | status | retention | single_stable | cachemodel | cachesize | wal_level | wal_fsync_period | wal_retention_period | wal_retention_size | wal_roll_period | wal_seg_size |
=========================================================================================================================================================================================================================================================================================================================================================================================================================================================================
information_schema | NULL | NULL | 14 | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | ready | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL |
performance_schema | NULL | NULL | 3 | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | ready | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL |
db | 2022-08-04 14:14:49.385 | 2 | 4 | 1 | off | 14400m | 5254560m,5254560m,5254560m | 96 | 4 | 256 | 100 | 4096 | 2 | ms | ready | NULL | false | none | 1 | 1 | 3000 | 0 | 0 | 0 | 0 |
name |
=================================
information_schema |
performance_schema |
db |
Query OK, 3 rows in database (0.019154s)
taos>
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Execute TDengine CLI program `taos` directly from the macOS shell to connect to the TDengine service and enter the TDengine CLI interface, as shown in the following example.
```text
$ taos
taos> show databases;
name |
=================================
information_schema |
performance_schema |
db |
Query OK, 3 rows in database (0.019154s)
taos>
```
docs/en/14-reference/03-connector/_verify_windows.mdx
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......@@ -2,12 +2,11 @@ Go to the `C:\TDengine` directory from `cmd` and execute TDengine CLI program `t
```text
taos> show databases;
name | create_time | vgroups | ntables | replica | strict | duration | keep | buffer | pagesize | pages | minrows | maxrows | comp | precision | status | retention | single_stable | cachemodel | cachesize | wal_level | wal_fsync_period | wal_retention_period | wal_retention_size | wal_roll_period | wal_seg_size |
=========================================================================================================================================================================================================================================================================================================================================================================================================================================================================
information_schema | NULL | NULL | 14 | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | ready | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL |
performance_schema | NULL | NULL | 3 | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | ready | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL |
test | 2022-08-04 16:46:40.506 | 2 | 0 | 1 | off | 14400m | 5256000m,5256000m,5256000m | 96 | 4 | 256 |
100 | 4096 | 2 | ms | ready | NULL | false | none | 1 | 1 | 3000 | 0 | 0 | 0 | 0 |
name |
=================================
information_schema |
performance_schema |
test |
Query OK, 3 rows in database (0.123000s)
taos>
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......@@ -4,18 +4,20 @@ import PkgListV3 from "/components/PkgListV3";
<PkgListV3 type={4} sys="Windows" />
[All Downloads](../../releases)
[All Downloads](../../releases/tdengine)
2. Execute the installer, select the default value as prompted, and complete the installation
3. Installation path
The default installation path is C:\TDengine, including the following files (directories).
- _taos.exe_ : TDengine CLI command-line program
- _cfg_ : configuration file directory
- _taos.exe_: TDengine CLI command-line program
- _taosadapter.exe_: server-side executable that provides RESTful services and accepts writing requests from a variety of other softwares
- _taosBenchmark.exe_: TDengine testing tool
- _cfg_: configuration file directory
- _driver_: client driver dynamic link library
- _examples_: sample programs bash/C/C#/go/JDBC/Python/Node.js
- _include_: header files
- _log_ : log file
- _log_: log file
- _unins000.exe_: uninstaller
4. configure taos.cfg
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......@@ -8,13 +8,15 @@ TDengine provides a rich set of APIs (application development interface). To fac
## Supported platforms
Currently, TDengine's native interface connectors can support platforms such as x64 and ARM hardware platforms and Linux and Windows development environments. The comparison matrix is as follows.
Currently, TDengine's native interface connectors can support platforms such as x64 and ARM hardware platforms and Linux/Windows/macOS development environments. The comparison matrix is as follows.
| **CPU** | **OS** | **Java** | **Python** | **Go** | **Node.js** | **C#** | **Rust** | C/C++ |
| -------------- | --------- | -------- | ---------- | ------ | ----------- | ------ | -------- | ----- |
| **X86 64bit** | **Linux** | ● | ● | ● | ● | ● | ● | ● |
| **X86 64bit** | **Win64** | ● | ● | ● | ● | ● | ● | ● |
| **X86 64bit** | **macOS** | ○ | ● | ● | ○ | ○ | ● | ● |
| **ARM64** | **Linux** | ● | ● | ● | ● | ○ | ○ | ● |
| **ARM64** | **macOS** | ○ | ● | ● | ○ | ○ | ● | ● |
Where ● means the official test verification passed, ○ means the unofficial test verification passed, -- means no assurance.
......@@ -72,10 +74,12 @@ The different database framework specifications for various programming language
import Tabs from "@theme/Tabs";
import TabItem from "@theme/TabItem";
import InstallOnWindows from "./_linux_install.mdx";
import InstallOnLinux from "./_windows_install.mdx";
import InstallOnLinux from "./_linux_install.mdx";
import InstallOnWindows from "./_windows_install.mdx";
import InstallOnMacOS from "./_macos_install.mdx";
import VerifyWindows from "./_verify_windows.mdx";
import VerifyLinux from "./_verify_linux.mdx";
import VerifyMacOS from "./_verify_macos.mdx";
## Install Client Driver
......@@ -88,10 +92,13 @@ The client driver needs to be installed if you use the native interface connecto
<Tabs defaultValue="linux" groupId="os">
<TabItem value="linux" label="Linux">
<InstallOnWindows />
<InstallOnLinux />
</TabItem>
<TabItem value="windows" label="Windows">
<InstallOnLinux />
<InstallOnWindows />
</TabItem>
<TabItem value="macos" label="MacOS">
<InstallOnMacOS />
</TabItem>
</Tabs>
......@@ -106,5 +113,8 @@ After completing the above installation and configuration and you have confirmed
<TabItem value="windows" label="Windows">
<VerifyWindows />
</TabItem>
<TabItem value="macos" label="MacOS">
<VerifyMacOS />
</TabItem>
</Tabs>
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......@@ -30,7 +30,7 @@ taosAdapter provides the following features.
### Install taosAdapter
If you use the TDengine server, you don't need additional steps to install taosAdapter. You can download taosAdapter from [TDengine 3.0 released versions](../../releases) to download the TDengine server installation package. If you need to deploy taosAdapter separately on another server other than the TDengine server, you should install the full TDengine server package on that server to install taosAdapter. If you need to build taosAdapter from source code, you can refer to the [Building taosAdapter]( https://github.com/taosdata/taosadapter/blob/3.0/BUILD.md) documentation.
If you use the TDengine server, you don't need additional steps to install taosAdapter. You can download taosAdapter from [TDengine 3.0 released versions](../../releases/tdengine) to download the TDengine server installation package. If you need to deploy taosAdapter separately on another server other than the TDengine server, you should install the full TDengine server package on that server to install taosAdapter. If you need to build taosAdapter from source code, you can refer to the [Building taosAdapter]( https://github.com/taosdata/taosadapter/blob/3.0/BUILD.md) documentation.
### Start/Stop taosAdapter
......@@ -197,6 +197,7 @@ Support InfluxDB query parameters as follows.
- `p` TDengine password
Note: InfluxDB token authorization is not supported at present. Only Basic authorization and query parameter validation are supported.
Example: curl --request POST http://127.0.0.1:6041/influxdb/v1/write?db=test --user "root:taosdata" --data-binary "measurement,host=host1 field1=2i,field2=2.0 1577836800000000000"
### OpenTSDB
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description: "taosBenchmark (once called taosdemo ) is a tool for testing the performance of TDengine."
---
## Introduction
# Introduction
taosBenchmark (formerly taosdemo ) is a tool for testing the performance of TDengine products. taosBenchmark can test the performance of TDengine's insert, query, and subscription functions and simulate large amounts of data generated by many devices. taosBenchmark can be configured to generate user defined databases, supertables, subtables, and the time series data to populate these for performance benchmarking. taosBenchmark is highly configurable and some of the configurations include the time interval for inserting data, the number of working threads and the capability to insert disordered data. The installer provides taosdemo as a soft link to taosBenchmark for compatibility with past users.
......@@ -23,7 +23,7 @@ There are two ways to install taosBenchmark:
TaosBenchmark needs to be executed on the terminal of the operating system, it supports two configuration methods: [Command-line arguments](#command-line-arguments-in-detail) and [JSON configuration file](#configuration-file-parameters-in-detail). These two methods are mutually exclusive. Users can use `-f <json file>` to specify a configuration file. When running taosBenchmark with command-line arguments to control its behavior, users should use other parameters for configuration, but not the `-f` parameter. In addition, taosBenchmark offers a special way of running without parameters.
taosBenchmark supports the complete performance testing of TDengine by providing functionally to write, query, and subscribe. These three functions are mutually exclusive, users can only select one of them each time taosBenchmark runs. The query and subscribe functionalities are only configurable using a json configuration file by specifying the parameter `filetype`, while write can be performed through both the command-line and a configuration file. If you want to test the performance of queries or data subscriptionm configure taosBenchmark with the configuration file. You can modify the value of the `filetype` parameter to specify the function that you want to test.
taosBenchmark supports the complete performance testing of TDengine by providing functionally to write, query, and subscribe. These three functions are mutually exclusive, users can only select one of them each time taosBenchmark runs. The query and subscribe functionalities are only configurable using a json configuration file by specifying the parameter `filetype`, while write can be performed through both the command-line and a configuration file. If you want to test the performance of queries or data subscription configure taosBenchmark with the configuration file. You can modify the value of the `filetype` parameter to specify the function that you want to test.
**Make sure that the TDengine cluster is running correctly before running taosBenchmark. **
......@@ -112,6 +112,9 @@ taosBenchmark -f <json file>
- **-u/--user <user\>** :
User name to connect to the TDengine server. Default is root.
- **-U/--supplement-insert ** :
Supplementally insert data without create database and table, optional, default is off.
- **-p/--password <passwd\>** :
The default password to connect to the TDengine server is `taosdata`.
......@@ -148,6 +151,9 @@ taosBenchmark -f <json file>
- **-l/--columns <colNum\>** :
specify the number of columns in the super table. If both this parameter and `-b/--data-type` is set, the final result number of columns is the greater of the two. If the number specified by this parameter is greater than the number of columns specified by `-b/--data-type`, the unspecified column type defaults to INT, for example: `-l 5 -b float,double`, then the final column is `FLOAT,DOUBLE,INT,INT,INT`. If the number of columns specified is less than or equal to the number of columns specified by `-b/--data-type`, then the result is the column and type specified by `-b/--data-type`, e.g.: `-l 3 -b float,double,float,bigint`. The last column is `FLOAT,DOUBLE, FLOAT,BIGINT`.
- **-L/--partial-col-num <colNum\> ** :
Specify first numbers of columns has data. Rest of columns' data are NULL. Default is all columns have data.
- **-A/--tag-type <tagType\>** :
The tag column type of the super table. nchar and binary types can both set the length, for example:
......@@ -231,7 +237,7 @@ The parameters related to database creation are configured in `dbinfo` in the js
- **name**: specify the name of the database.
- **drop**: indicate whether to delete the database before inserting. The default is true.
- **drop**: indicate whether to delete the database before inserting. The value can be 'yes' or 'no'. No means do not drop. The default is to drop.
#### Stream processing related configuration parameters
......@@ -334,13 +340,13 @@ The configuration parameters for specifying super table tag columns and data col
- **name** : The name of the column, if used together with count, e.g. "name": "current", "count":3, then the names of the 3 columns are current, current_2. current_3.
- **min**: The minimum value of the column/label of the data type.
- **min**: The minimum value of the column/label of the data type. The generated value will equal or large than the minimum value.
- **max**: The maximum value of the column/label of the data type.
- **max**: The maximum value of the column/label of the data type. The generated value will less than the maxium value.
- **values**: The value field of the nchar/binary column/label, which will be chosen randomly from the values.
- **sma**: Insert the column into the BSMA. Enter `yes` or `no`. The default is `no`.
- **sma**: Insert the column into the SMA. Enter `yes` or `no`. The default is `no`.
#### insertion behavior configuration parameters
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......@@ -12,7 +12,7 @@ If executed on the TDengine server-side, there is no need for additional install
## Execution
To access the TDengine CLI, you can execute `taos` command-line utility from a Linux terminal or Windows terminal.
To access the TDengine CLI, you can execute `taos` command-line utility from a terminal.
```bash
taos
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docs/en/14-reference/09-support-platform/index.md
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......@@ -5,28 +5,28 @@ description: "List of platforms supported by TDengine server, client, and connec
## List of supported platforms for TDengine server
| | **Windows Server 2016/2019** | **Windows 10/11** | **CentOS 7.9/8** | **Ubuntu 18/20** |
| ------------ | ---------------------------- | ----------------- | ---------------- | ---------------- |
| X64 | ● | ● | ● | ● |
| ARM64 | | | ● | |
| | **Windows Server 2016/2019** | **Windows 10/11** | **CentOS 7.9/8** | **Ubuntu 18/20** | **macOS** |
| ------------ | ---------------------------- | ----------------- | ---------------- | ---------------- | --------- |
| X64 | ● | ● | ● | ● | ● |
| ARM64 | | | ● | | ● |
Note: ● means officially tested and verified, ○ means unofficially tested and verified.
## List of supported platforms for TDengine clients and connectors
TDengine's connector can support a wide range of platforms, including X64/X86/ARM64/ARM32/MIPS/Alpha hardware platforms and Linux/Win64/Win32 development environments.
TDengine's connector can support a wide range of platforms, including X64/X86/ARM64/ARM32/MIPS/Alpha hardware platforms and Linux/Win64/Win32/macOS development environments.
The comparison matrix is as follows.
| **CPU** | **X64 64bit** | **X64 64bit** | **ARM64** |
| ----------- | ------------- | ------------- | --------- |
| **OS** | **Linux** | **Win64** | **Linux** |
| **C/C++** | ● | ● | ● |
| **JDBC** | ● | ● | ● |
| **Python** | ● | ● | ● |
| **Go** | ● | ● | ● |
| **NodeJs** | ● | ● | ● |
| **C#** | ● | ● | ○ |
| **RESTful** | ● | ● | ● |
| **CPU** | **X64 64bit** | **X64 64bit** | **ARM64** | **X64 64bit** | **ARM64** |
| ----------- | ------------- | ------------- | --------- | ------------- | --------- |
| **OS** | **Linux** | **Win64** | **Linux** | **macOS** | **macOS** |
| **C/C++** | ● | ● | ● | ● | ● |
| **JDBC** | ● | ● | ● | ○ | ○ |
| **Python** | ● | ● | ● | ● | ● |
| **Go** | ● | ● | ● | ● | ● |
| **NodeJs** | ● | ● | ● | ○ | ○ |
| **C#** | ● | ● | ○ | ○ | ○ |
| **RESTful** | ● | ● | ● | ● | ● |
Note: ● means the official test is verified, ○ means the unofficial test is verified, -- means not verified.
docs/en/14-reference/11-docker/index.md
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......@@ -25,10 +25,11 @@ The TDengine client taos can be executed in this container to access TDengine us
$ docker exec -it tdengine taos
taos> show databases;
name | created_time | ntables | vgroups | replica | quorum | days | keep | cache(MB) | blocks | minrows | maxrows | wallevel | fsync | comp | cachelast | precision | update | status |
====================================================================================================================================================================================================================================================================================
log | 2022-01-17 13:57:22.270 | 10 | 1 | 1 | 1 | 10 | 30 | 1 | 3 | 100 | 4096 | 1 | 3000 | 2 | 0 | us | 0 | ready |
Query OK, 1 row(s) in set (0.002843s)
name |
=================================
information_schema |
performance_schema |
Query OK, 2 row(s) in set (0.002843s)
```
The TDengine server running in the container uses the container's hostname to establish a connection. Using TDengine CLI or various connectors (such as JDBC-JNI) to access the TDengine inside the container from outside the container is more complicated. So the above is the simplest way to access the TDengine service in the container and is suitable for some simple scenarios. Please refer to the next section if you want to access the TDengine service in the container from outside the container using TDengine CLI or various connectors for complex scenarios.
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......@@ -164,7 +164,7 @@ The parameters described in this document by the effect that they have on the sy
| Attribute | Description |
| -------- | -------------------- |
| Applicable | Client only |
| 含义 | SMA index optimization policy |
| Meaning | SMA index optimization policy |
| Unit | None |
| Default Value | 0 |
| Notes |
......@@ -177,12 +177,21 @@ The parameters described in this document by the effect that they have on the sy
### maxNumOfDistinctRes
| Attribute | Description |
| -------- | -------------------------------- | --- |
| -------- | -------------------------------- |
| Applicable | Server Only |
| Meaning | The maximum number of distinct rows returned |
| Value Range | [100,000 - 100,000,000] |
| Default Value | 100,000 |
### keepColumnName
| Attribute | Description |
| -------- | -------------------------------- |
| Applicable | Client only |
| Meaning | When the Last, First, LastRow function is queried, whether the returned column name contains the function name. |
| Value Range | 0 means including the function name, 1 means not including the function name. |
| Default Value | 0 |
## Locale Parameters
### timezone
......@@ -196,7 +205,7 @@ The parameters described in this document by the effect that they have on the sy
:::info
To handle the data insertion and data query from multiple timezones, Unix Timestamp is used and stored in TDengine. The timestamp generated from any timezones at same time is same in Unix timestamp. Note that Unix timestamps are converted and recorded on the client side. To make sure the time on client side can be converted to Unix timestamp correctly, the timezone must be set properly.
On Linux system, TDengine clients automatically obtain timezone from the host. Alternatively, the timezone can be configured explicitly in configuration file `taos.cfg` like below. For example:
On Linux/macOS, TDengine clients automatically obtain timezone from the host. Alternatively, the timezone can be configured explicitly in configuration file `taos.cfg` like below. For example:
```
timezone UTC-8
......@@ -239,9 +248,9 @@ To avoid the problems of using time strings, Unix timestamp can be used directly
:::info
A specific type "nchar" is provided in TDengine to store non-ASCII characters such as Chinese, Japanese, and Korean. The characters to be stored in nchar type are firstly encoded in UCS4-LE before sending to server side. Note that the correct encoding is determined by the user. To store non-ASCII characters correctly, the encoding format of the client side needs to be set properly.
The characters input on the client side are encoded using the default system encoding, which is UTF-8 on Linux, or GB18030 or GBK on some systems in Chinese, POSIX in docker, CP936 on Windows in Chinese. The encoding of the operating system in use must be set correctly so that the characters in nchar type can be converted to UCS4-LE.
The characters input on the client side are encoded using the default system encoding, which is UTF-8 on Linux/macOS, or GB18030 or GBK on some systems in Chinese, POSIX in docker, CP936 on Windows in Chinese. The encoding of the operating system in use must be set correctly so that the characters in nchar type can be converted to UCS4-LE.
The locale definition standard on Linux is: <Language\>\_<Region\>.<charset\>, for example, in "zh_CN.UTF-8", "zh" means Chinese, "CN" means China mainland, "UTF-8" means charset. The charset indicates how to display the characters. On Linux and Mac OSX, the charset can be set by locale in the system. On Windows system another configuration parameter `charset` must be used to configure charset because the locale used on Windows is not POSIX standard. Of course, `charset` can also be used on Linux to specify the charset.
The locale definition standard on Linux/macOS is: <Language\>\_<Region\>.<charset\>, for example, in "zh_CN.UTF-8", "zh" means Chinese, "CN" means China mainland, "UTF-8" means charset. The charset indicates how to display the characters. On Linux/macOS, the charset can be set by locale in the system. On Windows system another configuration parameter `charset` must be used to configure charset because the locale used on Windows is not POSIX standard. Of course, `charset` can also be used on Linux/macOS to specify the charset.
:::
......@@ -254,9 +263,9 @@ The locale definition standard on Linux is: <Language\>\_<Region\>.<charset\>, f
| Default Value | charset set in the system |
:::info
On Linux, if `charset` is not set in `taos.cfg`, when `taos` is started, the charset is obtained from system locale. If obtaining charset from system locale fails, `taos` would fail to start.
On Linux/macOS, if `charset` is not set in `taos.cfg`, when `taos` is started, the charset is obtained from system locale. If obtaining charset from system locale fails, `taos` would fail to start.
So on Linux system, if system locale is set properly, it's not necessary to set `charset` in `taos.cfg`. For example:
So on Linux/macOS, if system locale is set properly, it's not necessary to set `charset` in `taos.cfg`. For example:
```
locale zh_CN.UTF-8
......@@ -270,7 +279,7 @@ charset CP936
Refer to the documentation for your operating system before changing the charset.
On a Linux system, if the charset contained in `locale` is not consistent with that set by `charset`, the later setting in the configuration file takes precedence.
On a Linux/macOS, if the charset contained in `locale` is not consistent with that set by `charset`, the later setting in the configuration file takes precedence.
```
locale zh_CN.UTF-8
......@@ -325,7 +334,7 @@ The charset that takes effect is UTF-8.
| Applicable | Server Only |
| Meaning | Maximum number of vnodes per dnode |
| Value Range | 0-4096 |
| Default Value | 256 |
| Default Value | 2x the CPU cores |
## Time Parameters
......@@ -666,7 +675,7 @@ To prevent system resource from being exhausted by multiple concurrent streams,
| Meaning | Whether to generate core file when server crashes |
| Value Range | 0: false, 1: true |
| Default Value | 1 |
| Note | The core file is generated under root directory `systemctl start taosd` is used to start, or under the working directory if `taosd` is started directly on Linux Shell. |
| Note | The core file is generated under root directory `systemctl start taosd`/`launchctl start com.tdengine.taosd` is used to start, or under the working directory if `taosd` is started directly on Linux/macOS Shell. |
### udf
......@@ -697,152 +706,154 @@ To prevent system resource from being exhausted by multiple concurrent streams,
| 15 | telemetryPort | No | Yes |
| 16 | queryPolicy | No | Yes |
| 17 | querySmaOptimize | No | Yes |
| 18 | queryBufferSize | Yes | Yes |
| 19 | maxNumOfDistinctRes | Yes | Yes |
| 20 | minSlidingTime | Yes | Yes |
| 21 | minIntervalTime | Yes | Yes |
| 22 | countAlwaysReturnValue | Yes | Yes |
| 23 | dataDir | Yes | Yes |
| 24 | minimalDataDirGB | Yes | Yes |
| 25 | supportVnodes | No | Yes |
| 26 | tempDir | Yes | Yes |
| 27 | minimalTmpDirGB | Yes | Yes |
| 28 | compressMsgSize | Yes | Yes |
| 29 | compressColData | Yes | Yes |
| 30 | smlChildTableName | Yes | Yes |
| 31 | smlTagName | Yes | Yes |
| 32 | smlDataFormat | No | Yes |
| 33 | statusInterval | Yes | Yes |
| 34 | shellActivityTimer | Yes | Yes |
| 35 | transPullupInterval | No | Yes |
| 36 | mqRebalanceInterval | No | Yes |
| 37 | ttlUnit | No | Yes |
| 38 | ttlPushInterval | No | Yes |
| 39 | numOfTaskQueueThreads | No | Yes |
| 40 | numOfRpcThreads | No | Yes |
| 41 | numOfCommitThreads | Yes | Yes |
| 42 | numOfMnodeReadThreads | No | Yes |
| 43 | numOfVnodeQueryThreads | No | Yes |
| 44 | numOfVnodeStreamThreads | No | Yes |
| 45 | numOfVnodeFetchThreads | No | Yes |
| 46 | numOfVnodeWriteThreads | No | Yes |
| 47 | numOfVnodeSyncThreads | No | Yes |
| 48 | numOfQnodeQueryThreads | No | Yes |
| 49 | numOfQnodeFetchThreads | No | Yes |
| 50 | numOfSnodeSharedThreads | No | Yes |
| 51 | numOfSnodeUniqueThreads | No | Yes |
| 52 | rpcQueueMemoryAllowed | No | Yes |
| 53 | logDir | Yes | Yes |
| 54 | minimalLogDirGB | Yes | Yes |
| 55 | numOfLogLines | Yes | Yes |
| 56 | asyncLog | Yes | Yes |
| 57 | logKeepDays | Yes | Yes |
| 58 | debugFlag | Yes | Yes |
| 59 | tmrDebugFlag | Yes | Yes |
| 60 | uDebugFlag | Yes | Yes |
| 61 | rpcDebugFlag | Yes | Yes |
| 62 | jniDebugFlag | Yes | Yes |
| 63 | qDebugFlag | Yes | Yes |
| 64 | cDebugFlag | Yes | Yes |
| 65 | dDebugFlag | Yes | Yes |
| 66 | vDebugFlag | Yes | Yes |
| 67 | mDebugFlag | Yes | Yes |
| 68 | wDebugFlag | Yes | Yes |
| 69 | sDebugFlag | Yes | Yes |
| 70 | tsdbDebugFlag | Yes | Yes |
| 71 | tqDebugFlag | No | Yes |
| 72 | fsDebugFlag | Yes | Yes |
| 73 | udfDebugFlag | No | Yes |
| 74 | smaDebugFlag | No | Yes |
| 75 | idxDebugFlag | No | Yes |
| 76 | tdbDebugFlag | No | Yes |
| 77 | metaDebugFlag | No | Yes |
| 78 | timezone | Yes | Yes |
| 79 | locale | Yes | Yes |
| 80 | charset | Yes | Yes |
| 81 | udf | Yes | Yes |
| 82 | enableCoreFile | Yes | Yes |
| 83 | arbitrator | Yes | No |
| 84 | numOfThreadsPerCore | Yes | No |
| 85 | numOfMnodes | Yes | No |
| 86 | vnodeBak | Yes | No |
| 87 | balance | Yes | No |
| 88 | balanceInterval | Yes | No |
| 89 | offlineThreshold | Yes | No |
| 90 | role | Yes | No |
| 91 | dnodeNopLoop | Yes | No |
| 92 | keepTimeOffset | Yes | No |
| 93 | rpcTimer | Yes | No |
| 94 | rpcMaxTime | Yes | No |
| 95 | rpcForceTcp | Yes | No |
| 96 | tcpConnTimeout | Yes | No |
| 97 | syncCheckInterval | Yes | No |
| 98 | maxTmrCtrl | Yes | No |
| 99 | monitorReplica | Yes | No |
| 100 | smlTagNullName | Yes | No |
| 101 | keepColumnName | Yes | No |
| 102 | ratioOfQueryCores | Yes | No |
| 103 | maxStreamCompDelay | Yes | No |
| 104 | maxFirstStreamCompDelay | Yes | No |
| 105 | retryStreamCompDelay | Yes | No |
| 106 | streamCompDelayRatio | Yes | No |
| 107 | maxVgroupsPerDb | Yes | No |
| 108 | maxTablesPerVnode | Yes | No |
| 109 | minTablesPerVnode | Yes | No |
| 110 | tableIncStepPerVnode | Yes | No |
| 111 | cache | Yes | No |
| 112 | blocks | Yes | No |
| 113 | days | Yes | No |
| 114 | keep | Yes | No |
| 115 | minRows | Yes | No |
| 116 | maxRows | Yes | No |
| 117 | quorum | Yes | No |
| 118 | comp | Yes | No |
| 119 | walLevel | Yes | No |
| 120 | fsync | Yes | No |
| 121 | replica | Yes | No |
| 122 | partitions | Yes | No |
| 123 | quorum | Yes | No |
| 124 | update | Yes | No |
| 125 | cachelast | Yes | No |
| 126 | maxSQLLength | Yes | No |
| 127 | maxWildCardsLength | Yes | No |
| 128 | maxRegexStringLen | Yes | No |
| 129 | maxNumOfOrderedRes | Yes | No |
| 130 | maxConnections | Yes | No |
| 131 | mnodeEqualVnodeNum | Yes | No |
| 132 | http | Yes | No |
| 133 | httpEnableRecordSql | Yes | No |
| 134 | httpMaxThreads | Yes | No |
| 135 | restfulRowLimit | Yes | No |
| 136 | httpDbNameMandatory | Yes | No |
| 137 | httpKeepAlive | Yes | No |
| 138 | enableRecordSql | Yes | No |
| 139 | maxBinaryDisplayWidth | Yes | No |
| 140 | stream | Yes | No |
| 141 | retrieveBlockingModel | Yes | No |
| 142 | tsdbMetaCompactRatio | Yes | No |
| 143 | defaultJSONStrType | Yes | No |
| 144 | walFlushSize | Yes | No |
| 145 | keepTimeOffset | Yes | No |
| 146 | flowctrl | Yes | No |
| 147 | slaveQuery | Yes | No |
| 148 | adjustMaster | Yes | No |
| 149 | topicBinaryLen | Yes | No |
| 150 | telegrafUseFieldNum | Yes | No |
| 151 | deadLockKillQuery | Yes | No |
| 152 | clientMerge | Yes | No |
| 153 | sdbDebugFlag | Yes | No |
| 154 | odbcDebugFlag | Yes | No |
| 155 | httpDebugFlag | Yes | No |
| 156 | monDebugFlag | Yes | No |
| 157 | cqDebugFlag | Yes | No |
| 158 | shortcutFlag | Yes | No |
| 159 | probeSeconds | Yes | No |
| 160 | probeKillSeconds | Yes | No |
| 161 | probeInterval | Yes | No |
| 162 | lossyColumns | Yes | No |
| 163 | fPrecision | Yes | No |
| 164 | dPrecision | Yes | No |
| 165 | maxRange | Yes | No |
| 166 | range | Yes | No |
| 18 | queryRsmaTolerance | No | Yes |
| 19 | queryBufferSize | Yes | Yes |
| 20 | maxNumOfDistinctRes | Yes | Yes |
| 21 | minSlidingTime | Yes | Yes |
| 22 | minIntervalTime | Yes | Yes |
| 23 | countAlwaysReturnValue | Yes | Yes |
| 24 | dataDir | Yes | Yes |
| 25 | minimalDataDirGB | Yes | Yes |
| 26 | supportVnodes | No | Yes |
| 27 | tempDir | Yes | Yes |
| 28 | minimalTmpDirGB | Yes | Yes |
| 29 | compressMsgSize | Yes | Yes |
| 30 | compressColData | Yes | Yes |
| 31 | smlChildTableName | Yes | Yes |
| 32 | smlTagName | Yes | Yes |
| 33 | smlDataFormat | No | Yes |
| 34 | statusInterval | Yes | Yes |
| 35 | shellActivityTimer | Yes | Yes |
| 36 | transPullupInterval | No | Yes |
| 37 | mqRebalanceInterval | No | Yes |
| 38 | ttlUnit | No | Yes |
| 39 | ttlPushInterval | No | Yes |
| 40 | numOfTaskQueueThreads | No | Yes |
| 41 | numOfRpcThreads | No | Yes |
| 42 | numOfCommitThreads | Yes | Yes |
| 43 | numOfMnodeReadThreads | No | Yes |
| 44 | numOfVnodeQueryThreads | No | Yes |
| 45 | numOfVnodeStreamThreads | No | Yes |
| 46 | numOfVnodeFetchThreads | No | Yes |
| 47 | numOfVnodeWriteThreads | No | Yes |
| 48 | numOfVnodeSyncThreads | No | Yes |
| 49 | numOfVnodeRsmaThreads | No | Yes |
| 50 | numOfQnodeQueryThreads | No | Yes |
| 51 | numOfQnodeFetchThreads | No | Yes |
| 52 | numOfSnodeSharedThreads | No | Yes |
| 53 | numOfSnodeUniqueThreads | No | Yes |
| 54 | rpcQueueMemoryAllowed | No | Yes |
| 55 | logDir | Yes | Yes |
| 56 | minimalLogDirGB | Yes | Yes |
| 57 | numOfLogLines | Yes | Yes |
| 58 | asyncLog | Yes | Yes |
| 59 | logKeepDays | Yes | Yes |
| 60 | debugFlag | Yes | Yes |
| 61 | tmrDebugFlag | Yes | Yes |
| 62 | uDebugFlag | Yes | Yes |
| 63 | rpcDebugFlag | Yes | Yes |
| 64 | jniDebugFlag | Yes | Yes |
| 65 | qDebugFlag | Yes | Yes |
| 66 | cDebugFlag | Yes | Yes |
| 67 | dDebugFlag | Yes | Yes |
| 68 | vDebugFlag | Yes | Yes |
| 69 | mDebugFlag | Yes | Yes |
| 70 | wDebugFlag | Yes | Yes |
| 71 | sDebugFlag | Yes | Yes |
| 72 | tsdbDebugFlag | Yes | Yes |
| 73 | tqDebugFlag | No | Yes |
| 74 | fsDebugFlag | Yes | Yes |
| 75 | udfDebugFlag | No | Yes |
| 76 | smaDebugFlag | No | Yes |
| 77 | idxDebugFlag | No | Yes |
| 78 | tdbDebugFlag | No | Yes |
| 79 | metaDebugFlag | No | Yes |
| 80 | timezone | Yes | Yes |
| 81 | locale | Yes | Yes |
| 82 | charset | Yes | Yes |
| 83 | udf | Yes | Yes |
| 84 | enableCoreFile | Yes | Yes |
| 85 | arbitrator | Yes | No |
| 86 | numOfThreadsPerCore | Yes | No |
| 87 | numOfMnodes | Yes | No |
| 88 | vnodeBak | Yes | No |
| 89 | balance | Yes | No |
| 90 | balanceInterval | Yes | No |
| 91 | offlineThreshold | Yes | No |
| 92 | role | Yes | No |
| 93 | dnodeNopLoop | Yes | No |
| 94 | keepTimeOffset | Yes | No |
| 95 | rpcTimer | Yes | No |
| 96 | rpcMaxTime | Yes | No |
| 97 | rpcForceTcp | Yes | No |
| 98 | tcpConnTimeout | Yes | No |
| 99 | syncCheckInterval | Yes | No |
| 100 | maxTmrCtrl | Yes | No |
| 101 | monitorReplica | Yes | No |
| 102 | smlTagNullName | Yes | No |
| 103 | keepColumnName | Yes | No |
| 104 | ratioOfQueryCores | Yes | No |
| 105 | maxStreamCompDelay | Yes | No |
| 106 | maxFirstStreamCompDelay | Yes | No |
| 107 | retryStreamCompDelay | Yes | No |
| 108 | streamCompDelayRatio | Yes | No |
| 109 | maxVgroupsPerDb | Yes | No |
| 110 | maxTablesPerVnode | Yes | No |
| 111 | minTablesPerVnode | Yes | No |
| 112 | tableIncStepPerVnode | Yes | No |
| 113 | cache | Yes | No |
| 114 | blocks | Yes | No |
| 115 | days | Yes | No |
| 116 | keep | Yes | No |
| 117 | minRows | Yes | No |
| 118 | maxRows | Yes | No |
| 119 | quorum | Yes | No |
| 120 | comp | Yes | No |
| 121 | walLevel | Yes | No |
| 122 | fsync | Yes | No |
| 123 | replica | Yes | No |
| 124 | partitions | Yes | No |
| 125 | quorum | Yes | No |
| 126 | update | Yes | No |
| 127 | cachelast | Yes | No |
| 128 | maxSQLLength | Yes | No |
| 129 | maxWildCardsLength | Yes | No |
| 130 | maxRegexStringLen | Yes | No |
| 131 | maxNumOfOrderedRes | Yes | No |
| 132 | maxConnections | Yes | No |
| 133 | mnodeEqualVnodeNum | Yes | No |
| 134 | http | Yes | No |
| 135 | httpEnableRecordSql | Yes | No |
| 136 | httpMaxThreads | Yes | No |
| 137 | restfulRowLimit | Yes | No |
| 138 | httpDbNameMandatory | Yes | No |
| 139 | httpKeepAlive | Yes | No |
| 140 | enableRecordSql | Yes | No |
| 141 | maxBinaryDisplayWidth | Yes | No |
| 142 | stream | Yes | No |
| 143 | retrieveBlockingModel | Yes | No |
| 144 | tsdbMetaCompactRatio | Yes | No |
| 145 | defaultJSONStrType | Yes | No |
| 146 | walFlushSize | Yes | No |
| 147 | keepTimeOffset | Yes | No |
| 148 | flowctrl | Yes | No |
| 149 | slaveQuery | Yes | No |
| 150 | adjustMaster | Yes | No |
| 151 | topicBinaryLen | Yes | No |
| 152 | telegrafUseFieldNum | Yes | No |
| 153 | deadLockKillQuery | Yes | No |
| 154 | clientMerge | Yes | No |
| 155 | sdbDebugFlag | Yes | No |
| 156 | odbcDebugFlag | Yes | No |
| 157 | httpDebugFlag | Yes | No |
| 158 | monDebugFlag | Yes | No |
| 159 | cqDebugFlag | Yes | No |
| 160 | shortcutFlag | Yes | No |
| 161 | probeSeconds | Yes | No |
| 162 | probeKillSeconds | Yes | No |
| 163 | probeInterval | Yes | No |
| 164 | lossyColumns | Yes | No |
| 165 | fPrecision | Yes | No |
| 166 | dPrecision | Yes | No |
| 167 | maxRange | Yes | No |
| 168 | range | Yes | No |
docs/en/14-reference/13-schemaless/13-schemaless.md
浏览文件 @ 7800b773
......@@ -47,9 +47,8 @@ In the schemaless writing data line protocol, each data item in the field_set ne
- `t`, `T`, `true`, `True`, `TRUE`, `f`, `F`, `false`, and `False` will be handled directly as BOOL types.
For example, the following data rows indicate that the t1 label is "3" (NCHAR), the t2 label is "4" (NCHAR), and the t3 label
is "t3" to the super table named `st` labeled "t3" (NCHAR), write c1 column as 3 (BIGINT), c2 column as false (BOOL), c3 column
is "passit" (BINARY), c4 column is 4 (DOUBLE), and the primary key timestamp is 1626006833639000000 in one row.
For example, the following data rows write c1 column as 3 (BIGINT), c2 column as false (BOOL), c3 column
as "passit" (BINARY), c4 column as 4 (DOUBLE), and the primary key timestamp as 1626006833639000000 to child table with the t1 label as "3" (NCHAR), the t2 label as "4" (NCHAR), and the t3 label as "t3" (NCHAR) and the super table named `st`.
```json
st,t1=3,t2=4,t3=t3 c1=3i64,c3="passit",c2=false,c4=4f64 1626006833639000000
......@@ -69,7 +68,7 @@ Schemaless writes process row data according to the following principles.
Note that tag_key1, tag_key2 are not the original order of the tags entered by the user but the result of using the tag names in ascending order of the strings. Therefore, tag_key1 is not the first tag entered in the line protocol.
The string's MD5 hash value "md5_val" is calculated after the ranking is completed. The calculation result is then combined with the string to generate the table name: "t_md5_val". "t_" is a fixed prefix that every table generated by this mapping relationship has.
You can configure smlChildTableName to specify table names, for example, `smlChildTableName=tname`. You can insert `st,tname=cpul,t1=4 c1=3 1626006833639000000` and the cpu1 table will be automatically created. Note that if multiple rows have the same tname but different tag_set values, the tag_set of the first row is used to create the table and the others are ignored.
You can configure smlChildTableName in taos.cfg to specify table names, for example, `smlChildTableName=tname`. You can insert `st,tname=cpul,t1=4 c1=3 1626006833639000000` and the cpu1 table will be automatically created. Note that if multiple rows have the same tname but different tag_set values, the tag_set of the first row is used to create the table and the others are ignored.
2. If the super table obtained by parsing the line protocol does not exist, this super table is created.
3. If the subtable obtained by the parse line protocol does not exist, Schemaless creates the sub-table according to the subtable name determined in steps 1 or 2.
......@@ -78,7 +77,7 @@ You can configure smlChildTableName to specify table names, for example, `smlChi
NULL.
6. For BINARY or NCHAR columns, if the length of the value provided in a data row exceeds the column type limit, the maximum length of characters allowed to be stored in the column is automatically increased (only incremented and not decremented) to ensure complete preservation of the data.
7. Errors encountered throughout the processing will interrupt the writing process and return an error code.
8. It is assumed that the order of field_set in a supertable is consistent, meaning that the first record contains all fields and subsequent records store fields in the same order. If the order is not consistent, set smlDataFormat to false. Otherwise, data will be written out of order and a database error will occur.
8. It is assumed that the order of field_set in a supertable is consistent, meaning that the first record contains all fields and subsequent records store fields in the same order. If the order is not consistent, set smlDataFormat in taos.cfg to false. Otherwise, data will be written out of order and a database error will occur.(smlDataFormat in taos.cfg default to false after version of 3.0.1.3)
:::tip
All processing logic of schemaless will still follow TDengine's underlying restrictions on data structures, such as the total length of each row of data cannot exceed
......
docs/en/14-reference/_statsd.mdx
浏览文件 @ 7800b773
......@@ -51,5 +51,6 @@ port: 8125
Start StatsD after adding the following (assuming the config file is modified to config.js)
```
npm install
node stats.js config.js &
```
docs/en/14-reference/_telegraf.mdx
浏览文件 @ 7800b773
......@@ -22,5 +22,4 @@ An example is as follows.
username = "root"
password = "taosdata"
data_format = "influx"
influx_max_line_bytes = 250
```
docs/en/20-third-party/02-prometheus.md
浏览文件 @ 7800b773
......@@ -30,21 +30,20 @@ After restarting Prometheus, you can refer to the following example to verify th
```
taos> show databases;
name | created_time | ntables | vgroups | replica | quorum | days | keep | cache(MB) | blocks | minrows | maxrows | wallevel | fsync | comp | cachelast | precision | update | status |
====================================================================================================================================================================================================================================================================================
test | 2022-04-12 08:07:58.756 | 1 | 1 | 1 | 1 | 10 | 3650 | 16 | 6 | 100 | 4096 | 1 | 3000 | 2 | 0 | ms | 0 | ready |
log | 2022-04-20 07:19:50.260 | 2 | 1 | 1 | 1 | 10 | 3650 | 16 | 6 | 100 | 4096 | 1 | 3000 | 2 | 0 | ms | 0 | ready |
prometheus_data | 2022-04-20 07:21:09.202 | 158 | 1 | 1 | 1 | 10 | 3650 | 16 | 6 | 100 | 4096 | 1 | 3000 | 2 | 0 | ns | 2 | ready |
db | 2022-04-15 06:37:08.512 | 1 | 1 | 1 | 1 | 10 | 3650 | 16 | 6 | 100 | 4096 | 1 | 3000 | 2 | 0 | ms | 0 | ready |
Query OK, 4 row(s) in set (0.000585s)
name |
=================================
information_schema |
performance_schema |
prometheus_data |
Query OK, 3 row(s) in set (0.000585s)
taos> use prometheus_data;
Database changed.
taos> show stables;
name | created_time | columns | tags | tables |
============================================================================================
metrics | 2022-04-20 07:21:09.209 | 2 | 1 | 1389 |
name |
=================================
metrics |
Query OK, 1 row(s) in set (0.000487s)
taos> select * from metrics limit 10;
......@@ -89,3 +88,7 @@ VALUE TIMESTAMP
```
:::note
- TDengine will automatically create unique IDs for sub-table names by the rule.
:::
docs/en/20-third-party/03-telegraf.md
浏览文件 @ 7800b773
......@@ -15,6 +15,7 @@ To write Telegraf data to TDengine requires the following preparations.
- The TDengine cluster is deployed and functioning properly
- taosAdapter is installed and running properly. Please refer to the [taosAdapter manual](/reference/taosadapter) for details.
- Telegraf has been installed. Please refer to the [official documentation](https://docs.influxdata.com/telegraf/v1.22/install/) for Telegraf installation.
- Telegraf collects the running status measurements of current system. You can enable [input plugins](https://docs.influxdata.com/telegraf/v1.22/plugins/) to insert [other formats](https://docs.influxdata.com/telegraf/v1.24/data_formats/input/) data to Telegraf then forward to TDengine.
## Configuration steps
<Telegraf />
......@@ -31,26 +32,27 @@ Use TDengine CLI to verify Telegraf correctly writing data to TDengine and read
```
taos> show databases;
name | created_time | ntables | vgroups | replica | quorum | days | keep | cache(MB) | blocks | minrows | maxrows | wallevel | fsync | comp | cachelast | precision | update | status |
====================================================================================================================================================================================================================================================================================
telegraf | 2022-04-20 08:47:53.488 | 22 | 1 | 1 | 1 | 10 | 3650 | 16 | 6 | 100 | 4096 | 1 | 3000 | 2 | 0 | ns | 2 | ready |
log | 2022-04-20 07:19:50.260 | 9 | 1 | 1 | 1 | 10 | 3650 | 16 | 6 | 100 | 4096 | 1 | 3000 | 2 | 0 | ms | 0 | ready |
Query OK, 2 row(s) in set (0.002401s)
name |
=================================
information_schema |
performance_schema |
telegraf |
Query OK, 3 rows in database (0.010568s)
taos> use telegraf;
Database changed.
taos> show stables;
name | created_time | columns | tags | tables |
============================================================================================
swap | 2022-04-20 08:47:53.532 | 7 | 1 | 1 |
cpu | 2022-04-20 08:48:03.488 | 11 | 2 | 5 |
system | 2022-04-20 08:47:53.512 | 8 | 1 | 1 |
diskio | 2022-04-20 08:47:53.550 | 12 | 2 | 15 |
kernel | 2022-04-20 08:47:53.503 | 6 | 1 | 1 |
mem | 2022-04-20 08:47:53.521 | 35 | 1 | 1 |
processes | 2022-04-20 08:47:53.555 | 12 | 1 | 1 |
disk | 2022-04-20 08:47:53.541 | 8 | 5 | 2 |
name |
=================================
swap |
cpu |
system |
diskio |
kernel |
mem |
processes |
disk |
Query OK, 8 row(s) in set (0.000521s)
taos> select * from telegraf.system limit 10;
......@@ -65,3 +67,11 @@ taos> select * from telegraf.system limit 10;
|
Query OK, 3 row(s) in set (0.013269s)
```
:::note
- TDengine take influxdb format data and create unique ID for table names by the rule.
The user can configure `smlChildTableName` parameter to generate specified table names if he/she needs. And he/she also need to insert data with specified data format.
For example, Add `smlChildTableName=tname` in the taos.cfg file. Insert data `st,tname=cpu1,t1=4 c1=3 1626006833639000000` then the table name will be cpu1. If there are multiple lines has same tname but different tag_set, the first line's tag_set will be used to automatically creating table and ignore other lines. Please refer to [TDengine Schemaless](/reference/schemaless/#Schemaless-Line-Protocol)
:::
docs/en/20-third-party/05-collectd.md
浏览文件 @ 7800b773
......@@ -32,28 +32,29 @@ Use the TDengine CLI to verify that collectd's data is written to TDengine and c
```
taos> show databases;
name | created_time | ntables | vgroups | replica | quorum | days | keep | cache(MB) | blocks | minrows | maxrows | wallevel | fsync | comp | cachelast | precision | update | status |
====================================================================================================================================================================================================================================================================================
collectd | 2022-04-20 09:27:45.460 | 95 | 1 | 1 | 1 | 10 | 3650 | 16 | 6 | 100 | 4096 | 1 | 3000 | 2 | 0 | ns | 2 | ready |
log | 2022-04-20 07:19:50.260 | 11 | 1 | 1 | 1 | 10 | 3650 | 16 | 6 | 100 | 4096 | 1 | 3000 | 2 | 0 | ms | 0 | ready |
Query OK, 2 row(s) in set (0.003266s)
name |
=================================
information_schema |
performance_schema |
collectd |
Query OK, 3 row(s) in set (0.003266s)
taos> use collectd;
Database changed.
taos> show stables;
name | created_time | columns | tags | tables |
============================================================================================
load_1 | 2022-04-20 09:27:45.492 | 2 | 2 | 1 |
memory_value | 2022-04-20 09:27:45.463 | 2 | 3 | 6 |
df_value | 2022-04-20 09:27:45.463 | 2 | 4 | 25 |
load_2 | 2022-04-20 09:27:45.501 | 2 | 2 | 1 |
load_0 | 2022-04-20 09:27:45.485 | 2 | 2 | 1 |
interface_1 | 2022-04-20 09:27:45.488 | 2 | 3 | 12 |
irq_value | 2022-04-20 09:27:45.476 | 2 | 3 | 31 |
interface_0 | 2022-04-20 09:27:45.480 | 2 | 3 | 12 |
entropy_value | 2022-04-20 09:27:45.473 | 2 | 2 | 1 |
swap_value | 2022-04-20 09:27:45.477 | 2 | 3 | 5 |
name |
=================================
load_1 |
memory_value |
df_value |
load_2 |
load_0 |
interface_1 |
irq_value |
interface_0 |
entropy_value |
swap_value |
Query OK, 10 row(s) in set (0.002236s)
taos> select * from collectd.memory_value limit 10;
......@@ -72,3 +73,7 @@ taos> select * from collectd.memory_value limit 10;
Query OK, 10 row(s) in set (0.010348s)
```
:::note
- TDengine will automatically create unique IDs for sub-table names by the rule.
:::
docs/en/20-third-party/06-statsd.md
浏览文件 @ 7800b773
......@@ -26,7 +26,7 @@ Start StatsD:
```
$ node stats.js config.js &
[1] 8546
$ 20 Apr 09:54:41 - [8546] reading config file: exampleConfig.js
$ 20 Apr 09:54:41 - [8546] reading config file: config.js
20 Apr 09:54:41 - server is up INFO
```
......@@ -40,19 +40,20 @@ Use the TDengine CLI to verify that StatsD data is written to TDengine and can r
```
taos> show databases;
name | created_time | ntables | vgroups | replica | quorum | days | keep | cache(MB) | blocks | minrows | maxrows | wallevel | fsync | comp | cachelast | precision | update | status |
====================================================================================================================================================================================================================================================================================
log | 2022-04-20 07:19:50.260 | 11 | 1 | 1 | 1 | 10 | 3650 | 16 | 6 | 100 | 4096 | 1 | 3000 | 2 | 0 | ms | 0 | ready |
statsd | 2022-04-20 09:54:51.220 | 1 | 1 | 1 | 1 | 10 | 3650 | 16 | 6 | 100 | 4096 | 1 | 3000 | 2 | 0 | ns | 2 | ready |
Query OK, 2 row(s) in set (0.003142s)
name |
=================================
information_schema |
performance_schema |
statsd |
Query OK, 3 row(s) in set (0.003142s)
taos> use statsd;
Database changed.
taos> show stables;
name | created_time | columns | tags | tables |
============================================================================================
foo | 2022-04-20 09:54:51.234 | 2 | 1 | 1 |
name |
=================================
foo |
Query OK, 1 row(s) in set (0.002161s)
taos> select * from foo;
......@@ -63,3 +64,8 @@ Query OK, 1 row(s) in set (0.004179s)
taos>
```
:::note
- TDengine will automatically create unique IDs for sub-table names by the rule.
:::
docs/en/20-third-party/07-icinga2.md
浏览文件 @ 7800b773
......@@ -36,39 +36,45 @@ After waiting about 10 seconds, use the TDengine CLI to query TDengine to verify
```
taos> show databases;
name | created_time | ntables | vgroups | replica | quorum | days | keep | cache(MB) | blocks | minrows | maxrows | wallevel | fsync | comp | cachelast | precision | update | status |
====================================================================================================================================================================================================================================================================================
log | 2022-04-20 07:19:50.260 | 11 | 1 | 1 | 1 | 10 | 3650 | 16 | 6 | 100 | 4096 | 1 | 3000 | 2 | 0 | ms | 0 | ready |
icinga2 | 2022-04-20 12:11:39.697 | 13 | 1 | 1 | 1 | 10 | 3650 | 16 | 6 | 100 | 4096 | 1 | 3000 | 2 | 0 | ns | 2 | ready |
Query OK, 2 row(s) in set (0.001867s)
name |
=================================
information_schema |
performance_schema |
icinga2 |
Query OK, 3 row(s) in set (0.001867s)
taos> use icinga2;
Database changed.
taos> show stables;
name | created_time | columns | tags | tables |
============================================================================================
icinga.service.users.state_... | 2022-04-20 12:11:39.726 | 2 | 1 | 1 |
icinga.service.users.acknow... | 2022-04-20 12:11:39.756 | 2 | 1 | 1 |
icinga.service.procs.downti... | 2022-04-20 12:11:44.541 | 2 | 1 | 1 |
icinga.service.users.users | 2022-04-20 12:11:39.770 | 2 | 1 | 1 |
icinga.service.procs.procs_min | 2022-04-20 12:11:44.599 | 2 | 1 | 1 |
icinga.service.users.users_min | 2022-04-20 12:11:39.809 | 2 | 1 | 1 |
icinga.check.max_check_atte... | 2022-04-20 12:11:39.847 | 2 | 3 | 2 |
icinga.service.procs.state_... | 2022-04-20 12:11:44.522 | 2 | 1 | 1 |
icinga.service.procs.procs_... | 2022-04-20 12:11:44.576 | 2 | 1 | 1 |
icinga.service.users.users_... | 2022-04-20 12:11:39.796 | 2 | 1 | 1 |
icinga.check.latency | 2022-04-20 12:11:39.869 | 2 | 3 | 2 |
icinga.service.procs.procs_... | 2022-04-20 12:11:44.588 | 2 | 1 | 1 |
icinga.service.users.downti... | 2022-04-20 12:11:39.746 | 2 | 1 | 1 |
icinga.service.users.users_... | 2022-04-20 12:11:39.783 | 2 | 1 | 1 |
icinga.service.users.reachable | 2022-04-20 12:11:39.736 | 2 | 1 | 1 |
icinga.service.procs.procs | 2022-04-20 12:11:44.565 | 2 | 1 | 1 |
icinga.service.procs.acknow... | 2022-04-20 12:11:44.554 | 2 | 1 | 1 |
icinga.service.procs.state | 2022-04-20 12:11:44.509 | 2 | 1 | 1 |
icinga.service.procs.reachable | 2022-04-20 12:11:44.532 | 2 | 1 | 1 |
icinga.check.current_attempt | 2022-04-20 12:11:39.825 | 2 | 3 | 2 |
icinga.check.execution_time | 2022-04-20 12:11:39.898 | 2 | 3 | 2 |
icinga.service.users.state | 2022-04-20 12:11:39.704 | 2 | 1 | 1 |
name |
=================================
icinga.service.users.state_... |
icinga.service.users.acknow... |
icinga.service.procs.downti... |
icinga.service.users.users |
icinga.service.procs.procs_min |
icinga.service.users.users_min |
icinga.check.max_check_atte... |
icinga.service.procs.state_... |
icinga.service.procs.procs_... |
icinga.service.users.users_... |
icinga.check.latency |
icinga.service.procs.procs_... |
icinga.service.users.downti... |
icinga.service.users.users_... |
icinga.service.users.reachable |
icinga.service.procs.procs |
icinga.service.procs.acknow... |
icinga.service.procs.state |
icinga.service.procs.reachable |
icinga.check.current_attempt |
icinga.check.execution_time |
icinga.service.users.state |
Query OK, 22 row(s) in set (0.002317s)
```
:::note
- TDengine will automatically create unique IDs for sub-table names by the rule.
:::
docs/en/20-third-party/08-tcollector.md
浏览文件 @ 7800b773
......@@ -33,35 +33,41 @@ Wait for a few seconds and then use the TDengine CLI to query whether the corres
```
taos> show databases;
name | created_time | ntables | vgroups | replica | quorum | days | keep | cache(MB) | blocks | minrows | maxrows | wallevel | fsync | comp | cachelast | precision | update | status |
====================================================================================================================================================================================================================================================================================
tcollector | 2022-04-20 12:44:49.604 | 88 | 1 | 1 | 1 | 10 | 3650 | 16 | 6 | 100 | 4096 | 1 | 3000 | 2 | 0 | ns | 2 | ready |
log | 2022-04-20 07:19:50.260 | 11 | 1 | 1 | 1 | 10 | 3650 | 16 | 6 | 100 | 4096 | 1 | 3000 | 2 | 0 | ms | 0 | ready |
Query OK, 2 row(s) in set (0.002679s)
name |
=================================
information_schema |
performance_schema |
tcollector |
Query OK, 3 rows in database (0.001647s)
taos> use tcollector;
Database changed.
taos> show stables;
name | created_time | columns | tags | tables |
============================================================================================
proc.meminfo.hugepages_rsvd | 2022-04-20 12:44:53.945 | 2 | 1 | 1 |
proc.meminfo.directmap1g | 2022-04-20 12:44:54.110 | 2 | 1 | 1 |
proc.meminfo.vmallocchunk | 2022-04-20 12:44:53.724 | 2 | 1 | 1 |
proc.meminfo.hugepagesize | 2022-04-20 12:44:54.004 | 2 | 1 | 1 |
tcollector.reader.lines_dro... | 2022-04-20 12:44:49.675 | 2 | 1 | 1 |
proc.meminfo.sunreclaim | 2022-04-20 12:44:53.437 | 2 | 1 | 1 |
proc.stat.ctxt | 2022-04-20 12:44:55.363 | 2 | 1 | 1 |
proc.meminfo.swaptotal | 2022-04-20 12:44:53.158 | 2 | 1 | 1 |
proc.uptime.total | 2022-04-20 12:44:52.813 | 2 | 1 | 1 |
tcollector.collector.lines_... | 2022-04-20 12:44:49.895 | 2 | 2 | 51 |
proc.meminfo.vmallocused | 2022-04-20 12:44:53.704 | 2 | 1 | 1 |
proc.meminfo.memavailable | 2022-04-20 12:44:52.939 | 2 | 1 | 1 |
sys.numa.foreign_allocs | 2022-04-20 12:44:57.929 | 2 | 2 | 1 |
proc.meminfo.committed_as | 2022-04-20 12:44:53.639 | 2 | 1 | 1 |
proc.vmstat.pswpin | 2022-04-20 12:44:54.177 | 2 | 1 | 1 |
proc.meminfo.cmafree | 2022-04-20 12:44:53.865 | 2 | 1 | 1 |
proc.meminfo.mapped | 2022-04-20 12:44:53.349 | 2 | 1 | 1 |
proc.vmstat.pgmajfault | 2022-04-20 12:44:54.251 | 2 | 1 | 1 |
name |
=================================
proc.meminfo.hugepages_rsvd |
proc.meminfo.directmap1g |
proc.meminfo.vmallocchunk |
proc.meminfo.hugepagesize |
tcollector.reader.lines_dro... |
proc.meminfo.sunreclaim |
proc.stat.ctxt |
proc.meminfo.swaptotal |
proc.uptime.total |
tcollector.collector.lines_... |
proc.meminfo.vmallocused |
proc.meminfo.memavailable |
sys.numa.foreign_allocs |
proc.meminfo.committed_as |
proc.vmstat.pswpin |
proc.meminfo.cmafree |
proc.meminfo.mapped |
proc.vmstat.pgmajfault |
...
```
:::note
- TDengine will automatically create unique IDs for sub-table names by the rule.
:::
docs/en/21-tdinternal/01-arch.md
浏览文件 @ 7800b773
此差异已折叠。
docs/en/25-application/01-telegraf.md
浏览文件 @ 7800b773
......@@ -60,7 +60,6 @@ For the configuration method, add the following text to `/etc/telegraf/telegraf.
username = "<TDengine's username>"
password = "<TDengine's password>"
data_format = "influx"
influx_max_line_bytes = 250
```
Then restart telegraf:
......
docs/en/27-train-faq/01-faq.md
浏览文件 @ 7800b773
......@@ -55,14 +55,16 @@ This error indicates that the client could not connect to the server. Perform th
7. If you are using the Python, Java, Go, Rust, C#, or Node.js connector on Linux to connect to the server, verify that `libtaos.so` is in the `/usr/local/taos/driver` directory and `/usr/local/taos/driver` is in the `LD_LIBRARY_PATH` environment variable.
8. If you are using Windows, verify that `C:\TDengine\driver\taos.dll` is in the `PATH` environment variable. If possible, move `taos.dll` to the `C:\Windows\System32` directory.
8. If you are using macOS, verify that `libtaos.dylib` is in the `/usr/local/lib` directory and `/usr/local/lib` is in the `LD_LIBRARY_PATH` environment variable..
9. On Linux systems, you can use the `nc` tool to check whether a port is accessible:
9. If you are using Windows, verify that `C:\TDengine\driver\taos.dll` is in the `PATH` environment variable. If possible, move `taos.dll` to the `C:\Windows\System32` directory.
10. On Linux/macOS, you can use the `nc` tool to check whether a port is accessible:
- To check whether a UDP port is open, run `nc -vuz {hostIP} {port}`.
- To check whether a TCP port on the server side is open, run `nc -l {port}`.
- To check whether a TCP port on client side is open, run `nc {hostIP} {port}`.
10. On Windows systems, you can run `Test-NetConnection -ComputerName {fqdn} -Port {port}` in PowerShell to check whether a port on the server side is accessible.
On Windows systems, you can run `Test-NetConnection -ComputerName {fqdn} -Port {port}` in PowerShell to check whether a port on the server side is accessible.
11. You can also use the TDengine CLI to diagnose network issues. For more information, see [Problem Diagnostics](https://docs.tdengine.com/operation/diagnose/).
......@@ -104,11 +106,11 @@ ALTER LOCAL local_option
local_option: {
'resetLog'
| 'rpcDebugFlag' value
| 'tmrDebugFlag' value
| 'cDebugFlag' value
| 'uDebugFlag' value
| 'debugFlag' value
| 'rpcDebugFlag' 'value'
| 'tmrDebugFlag' 'value'
| 'cDebugFlag' 'value'
| 'uDebugFlag' 'value'
| 'debugFlag' 'value'
}
```
......
docs/en/28-releases.md 已删除 100644 → 0
浏览文件 @ 2b584d16
---
sidebar_label: Releases
title: Released Versions
---
import Release from "/components/ReleaseV3";
<Release versionPrefix="3.0" />
docs/en/28-releases/01-tdengine.md 0 → 100644
浏览文件 @ 7800b773
---
sidebar_label: TDengine
title: TDengine
description: TDengine release history, Release Notes and download links.
---
import Release from "/components/ReleaseV3";
## 3.0.1.5
<Release type="tdengine" version="3.0.1.5" />
## 3.0.1.4
<Release type="tdengine" version="3.0.1.4" />
## 3.0.1.3
<Release type="tdengine" version="3.0.1.3" />
## 3.0.1.2
<Release type="tdengine" version="3.0.1.2" />
## 3.0.1.1
<Release type="tdengine" version="3.0.1.1" />
## 3.0.1.0
<Release type="tdengine" version="3.0.1.0" />
docs/en/28-releases/02-tools.md 0 → 100644
浏览文件 @ 7800b773
---
sidebar_label: taosTools
title: taosTools
description: taosTools release history, Release Notes, download links.
---
import Release from "/components/ReleaseV3";
## 2.2.6
<Release type="tools" version="2.2.6" />
## 2.2.4
<Release type="tools" version="2.2.4" />
## 2.2.3
<Release type="tools" version="2.2.3" />
## 2.2.2
<Release type="tools" version="2.2.2" />
## 2.2.0
<Release type="tools" version="2.2.0" />
## 2.1.3
<Release type="tools" version="2.1.3" />
docs/en/28-releases/_category_.yml 0 → 100644
浏览文件 @ 7800b773
label: Releases
\ No newline at end of file
docs/examples/c/tmq_example.c
浏览文件 @ 7800b773
......@@ -184,22 +184,54 @@ void tmq_commit_cb_print(tmq_t* tmq, int32_t code, void* param) {
tmq_t* build_consumer() {
tmq_conf_res_t code;
tmq_conf_t* conf = tmq_conf_new();
code = tmq_conf_set(conf, "enable.auto.commit", "true");
if (TMQ_CONF_OK != code) return NULL;
if (TMQ_CONF_OK != code) {
tmq_conf_destroy(conf);
return NULL;
}
code = tmq_conf_set(conf, "auto.commit.interval.ms", "1000");
if (TMQ_CONF_OK != code) return NULL;
if (TMQ_CONF_OK != code) {
tmq_conf_destroy(conf);
return NULL;
}
code = tmq_conf_set(conf, "group.id", "cgrpName");
if (TMQ_CONF_OK != code) return NULL;
if (TMQ_CONF_OK != code) {
tmq_conf_destroy(conf);
return NULL;
}
code = tmq_conf_set(conf, "client.id", "user defined name");
if (TMQ_CONF_OK != code) return NULL;
if (TMQ_CONF_OK != code) {
tmq_conf_destroy(conf);
return NULL;
}
code = tmq_conf_set(conf, "td.connect.user", "root");
if (TMQ_CONF_OK != code) return NULL;
if (TMQ_CONF_OK != code) {
tmq_conf_destroy(conf);
return NULL;
}
code = tmq_conf_set(conf, "td.connect.pass", "taosdata");
if (TMQ_CONF_OK != code) return NULL;
if (TMQ_CONF_OK != code) {
tmq_conf_destroy(conf);
return NULL;
}
code = tmq_conf_set(conf, "auto.offset.reset", "earliest");
if (TMQ_CONF_OK != code) return NULL;
if (TMQ_CONF_OK != code) {
tmq_conf_destroy(conf);
return NULL;
}
code = tmq_conf_set(conf, "experimental.snapshot.enable", "false");
if (TMQ_CONF_OK != code) return NULL;
if (TMQ_CONF_OK != code) {
tmq_conf_destroy(conf);
return NULL;
}
tmq_conf_set_auto_commit_cb(conf, tmq_commit_cb_print, NULL);
......
docs/examples/csharp/.gitignore
浏览文件 @ 7800b773
bin
obj
.vs
*.sln
\ No newline at end of file
asyncQuery/bin
connect/bin
influxdbLine/bin
optsJSON/bin
optsTelnet/bin
query/bin
sqlInsert/bin
stmtInsert/bin
subscribe/bin
wsConnect/bin
wsInsert/bin
wsQuery/bin
wsStmt/bin
asyncQuery/obj
connect/obj
influxdbLine/obj
optsJSON/obj
optsTelnet/obj
query/obj
sqlInsert/obj
stmtInsert/obj
subscribe/obj
wsConnect/obj
wsInsert/obj
wsQuery/obj
wsStmt/obj
\ No newline at end of file
docs/examples/csharp/AsyncQueryExample.cs → docs/examples/csharp/asyncQuery/Program.cs
浏览文件 @ 7800b773
......@@ -11,11 +11,17 @@ namespace TDengineExample
static void Main()
{
IntPtr conn = GetConnection();
try
{
QueryAsyncCallback queryAsyncCallback = new QueryAsyncCallback(QueryCallback);
TDengine.QueryAsync(conn, "select * from meters", queryAsyncCallback, IntPtr.Zero);
Thread.Sleep(2000);
}
finally
{
TDengine.Close(conn);
TDengine.Cleanup();
}
}
static void QueryCallback(IntPtr param, IntPtr taosRes, int code)
......@@ -27,7 +33,7 @@ namespace TDengineExample
}
else
{
Console.WriteLine($"async query data failed, failed code {code}");
throw new Exception($"async query data failed,code:{code},reason:{TDengine.Error(taosRes)}");
}
}
......@@ -43,7 +49,7 @@ namespace TDengineExample
for (int i = 0; i < dataList.Count; i++)
{
if (i != 0 && (i+1) % metaList.Count == 0)
if (i != 0 && (i + 1) % metaList.Count == 0)
{
Console.WriteLine("{0}\t|", dataList[i]);
}
......@@ -63,7 +69,7 @@ namespace TDengineExample
}
else
{
Console.WriteLine($"FetchRawBlockCallback callback error, error code {numOfRows}");
throw new Exception($"FetchRawBlockCallback callback error, error code {numOfRows}");
}
TDengine.FreeResult(taosRes);
}
......@@ -79,8 +85,7 @@ namespace TDengineExample
var conn = TDengine.Connect(host, username, password, dbname, port);
if (conn == IntPtr.Zero)
{
Console.WriteLine("Connect to TDengine failed");
Environment.Exit(0);
throw new Exception("Connect to TDengine failed");
}
else
{
......
docs/examples/csharp/asyncquery.csproj → docs/examples/csharp/asyncQuery/asyncquery.csproj
浏览文件 @ 7800b773
......@@ -9,7 +9,7 @@
</PropertyGroup>
<ItemGroup>
<PackageReference Include="TDengine.Connector" Version="3.0.0" />
<PackageReference Include="TDengine.Connector" Version="3.0.1" />
</ItemGroup>
</Project>
docs/examples/csharp/ConnectExample.cs → docs/examples/csharp/connect/Program.cs
浏览文件 @ 7800b773
......@@ -16,7 +16,7 @@ namespace TDengineExample
var conn = TDengine.Connect(host, username, password, dbname, port);
if (conn == IntPtr.Zero)
{
Console.WriteLine("Connect to TDengine failed");
throw new Exception("Connect to TDengine failed");
}
else
{
......
docs/examples/csharp/csharp.sln 0 → 100644
浏览文件 @ 7800b773

Microsoft Visual Studio Solution File, Format Version 12.00
# Visual Studio Version 16
VisualStudioVersion = 16.0.30114.105
MinimumVisualStudioVersion = 10.0.40219.1
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "asyncquery", "asyncQuery\asyncquery.csproj", "{E2A5F00C-14E7-40E1-A2DE-6AB2975616D3}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "connect", "connect\connect.csproj", "{CCC5042D-93FC-4AE0-B2F6-7E692FD476B7}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "influxdbline", "influxdbLine\influxdbline.csproj", "{6A24FB80-1E3C-4E2D-A5AB-914FA583874D}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "optsJSON", "optsJSON\optsJSON.csproj", "{6725A961-0C66-4196-AC98-8D3F3D757D6C}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "optstelnet", "optsTelnet\optstelnet.csproj", "{B3B50D25-688B-44D4-8683-482ABC52FFCA}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "query", "query\query.csproj", "{F2B7D13B-FE04-4C5C-BB6D-C12E0A9D9970}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "stmtinsert", "stmtInsert\stmtinsert.csproj", "{B40D6BED-BE3C-4B44-9B12-28BE441311BA}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "subscribe", "subscribe\subscribe.csproj", "{C3D45A8E-AFC0-4547-9F3C-467B0B583DED}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "wsConnect", "wsConnect\wsConnect.csproj", "{51E19494-845E-49ED-97C7-749AE63111BD}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "wsInsert", "wsInsert\wsInsert.csproj", "{13E2233B-4AFF-40D9-AF42-AB3F01617540}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "wsQuery", "wsQuery\wsQuery.csproj", "{0F394169-C456-442C-929D-C2D43A0EEC7B}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "wsStmt", "wsStmt\wsStmt.csproj", "{27B9C9AB-9055-4BF2-8A14-4E59F09D5985}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "sqlinsert", "sqlInsert\sqlinsert.csproj", "{CD24BD12-8550-4627-A11D-707B446F48C3}"
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Global
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