提交 ea177621 编写于 作者: G gccgdb1234

doc: refine description for all pages

上级 0cdcc085
---
sidebar_label: Python
title: Connect with Python Connector
description: Python Connector for TDengine.
---
import Tabs from '@theme/Tabs';
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---
sidebar_label: Java
title: Connect with Java Connector
description: Java Connector for TDengine.
---
import Tabs from '@theme/Tabs';
......
---
sidebar_label: Go
title: Connect with Go Connector
description: Go Connector for TDengine.
---
import Tabs from '@theme/Tabs';
......
---
sidebar_label: Rust
title: Connect with Rust Connector
description: Rust Connector for TDengine
---
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
......
---
sidebar_label: Node.js
title: Connect with Node.js Connector
description: Node.JS Connector for TDengine
---
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
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---
sidebar_label: REST API
title: REST API
description: Communicate with TDengine Cloud Service through RESTful API
---
## Config
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---
title: Data Model
desription: Typical Data Model used in TDengine
---
The data model employed by TDengine is similar to that of a relational database. You have to create databases and tables. You must design the data model based on your own business and application requirements. You should design the STable (an abbreviation for super table) schema to fit your data. This chapter will explain the big picture without getting into syntactical details.
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---
sidebar_label: Data Replication
title: Data Replication
description: Briefly introduce how to replicate data among TDengine cloud services
description: Replicate data between TDengine cloud services
---
TDengine provides full support for data replication. You can replicate data from TDengine cloud service to local TDengine, from local TDengine to TDengine cloud service, or from one cloud service to another one and it doesn't matter which cloud or region the two services reside in.
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---
sidebar_label: SQL
title: Insert Data Using SQL
description: This section describes how to insert data using TDengine SQL
description: Insert data using TDengine SQL
---
# Insert Data
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---
sidebar_label: Prometheus
title: Prometheus for TDengine Cloud
description: This topic introduces how to write data into TDengine from Prometheus.
description: Write data into TDengine from Prometheus.
---
Prometheus is a widespread open-source monitoring and alerting system. Prometheus joined the Cloud Native Computing Foundation (CNCF) in 2016 as the second incubated project after Kubernetes, which has a very active developer and user community.
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---
sidebar_label: Telegraf
title: Telegraf for TDengine Cloud
description: This section explains how to write data into TDengine from telegraf.
description: Write data into TDengine from telegraf.
---
Telegraf is an open-source, metrics collection software. Telegraf can collect the operation information of various components without having to write any scripts to collect regularly, reducing the difficulty of data acquisition.
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---
sidebar_label: SQL
title: Query Data Using SQL
description: This topic introduces how to read data from TDengine using basic SQL.
description: Read data from TDengine using basic SQL.
---
# Query Data
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---
sidebar_label: taosDump
title: Dump Data Using taosDump
description: Introduces how to dump data from TDengine into files using taosDump
description: Dump data from TDengine into files using taosDump
---
# taosDump
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---
sidebar_label: Supertable
title: Supertable
description: Operations about Super Tables.
---
## Create a Supertable
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---
sidebar_label: Insert
title: Insert
description: Insert data into TDengine
---
## Syntax
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---
sidebar_label: Select
title: Select
description: Query Data from TDengine.
---
## Syntax
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sidebar_label: Functions
title: Functions
toc_max_heading_level: 4
description: TDengine Built-in Functions.
---
## Single Row Functions
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---
sidebar_label: Time-Series Extensions
title: Time-Series Extensions
description: TimeSeries Data Specific Queries.
---
As a purpose-built database for storing and processing time-series data, TDengine provides time-series-specific extensions to standard SQL.
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---
sidebar_label: Data Subscription
title: Data Subscription
description: Subscribe Data from TDengine.
---
The information in this document is related to the TDengine data subscription feature.
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---
sidebar_label: Stream Processing
title: Stream Processing
description: Built-in Stream Processing.
---
Raw time-series data is often cleaned and preprocessed before being permanently stored in a database. Stream processing components like Kafka, Flink, and Spark are often deployed alongside a time-series database to handle these operations, increasing system complexity and maintenance costs.
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---
sidebar_label: Operators
title: Operators
description: TDengine Supported Operators
---
## Arithmetic Operators
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---
sidebar_label: JSON Type
title: JSON Type
description: JSON Data Type
---
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---
title: Escape Characters
description: How to use Escape
---
## Escape Characters
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---
sidebar_label: Name and Size Limits
title: Name and Size Limits
sidebar_label: Limits
title: Limits
description: Naming Limits
---
## Naming Rules
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---
sidebar_label: Reserved Keywords
sidebar_label: Keywords
title: Reserved Keywords
description: Reserved Keywords in TDengine SQL
---
## Keyword List
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---
sidebar_label: User-Defined Functions
sidebar_label: UDF
title: User-Defined Functions (UDF)
description: User Defined Functions
---
You can create user-defined functions and import them into TDengine.
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---
sidebar_label: Index
title: Using Indices
description: Use Index to Accelerate Query.
---
TDengine supports SMA and FULLTEXT indexing.
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---
title: taosBenchmark
sidebar_label: taosBenchmark
description: Benchmark Tool for TDengine.
---
## Introduction
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# FAQ
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