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doc: refine description for all pages

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sidebar_label: Python sidebar_label: Python
title: Connect with Python Connector title: Connect with Python Connector
description: Python Connector for TDengine.
--- ---
import Tabs from '@theme/Tabs'; import Tabs from '@theme/Tabs';
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sidebar_label: Java sidebar_label: Java
title: Connect with Java Connector title: Connect with Java Connector
description: Java Connector for TDengine.
--- ---
import Tabs from '@theme/Tabs'; import Tabs from '@theme/Tabs';
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--- ---
sidebar_label: Go sidebar_label: Go
title: Connect with Go Connector title: Connect with Go Connector
description: Go Connector for TDengine.
--- ---
import Tabs from '@theme/Tabs'; import Tabs from '@theme/Tabs';
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sidebar_label: Rust sidebar_label: Rust
title: Connect with Rust Connector title: Connect with Rust Connector
description: Rust Connector for TDengine
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import Tabs from '@theme/Tabs'; import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem'; import TabItem from '@theme/TabItem';
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--- ---
sidebar_label: Node.js sidebar_label: Node.js
title: Connect with Node.js Connector title: Connect with Node.js Connector
description: Node.JS Connector for TDengine
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import Tabs from '@theme/Tabs'; import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem'; import TabItem from '@theme/TabItem';
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--- ---
sidebar_label: REST API sidebar_label: REST API
title: REST API title: REST API
description: Communicate with TDengine Cloud Service through RESTful API
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## Config ## Config
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--- ---
title: Data Model title: Data Model
desription: Typical Data Model used in TDengine
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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. 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 sidebar_label: Data Replication
title: Data Replication title: Data Replication
description: Briefly introduce how to replicate data among TDengine cloud services description: Replicate data between TDengine cloud services
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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. 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 sidebar_label: SQL
title: Insert Data Using SQL title: Insert Data Using SQL
description: This section describes how to insert data using TDengine SQL description: Insert data using TDengine SQL
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# Insert Data # Insert Data
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--- ---
sidebar_label: Prometheus sidebar_label: Prometheus
title: Prometheus for TDengine Cloud title: Prometheus for TDengine Cloud
description: This topic introduces how to write data into TDengine from Prometheus. description: Write data into TDengine from Prometheus.
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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. 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 sidebar_label: Telegraf
title: Telegraf for TDengine Cloud title: Telegraf for TDengine Cloud
description: This section explains how to write data into TDengine from telegraf. description: Write data into TDengine from telegraf.
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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. 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 sidebar_label: SQL
title: Query Data Using 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.
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# Query Data # Query Data
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sidebar_label: taosDump sidebar_label: taosDump
title: Dump Data Using 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
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# taosDump # taosDump
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--- ---
sidebar_label: Supertable sidebar_label: Supertable
title: Supertable title: Supertable
description: Operations about Super Tables.
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## Create a Supertable ## Create a Supertable
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sidebar_label: Insert sidebar_label: Insert
title: Insert title: Insert
description: Insert data into TDengine
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## Syntax ## Syntax
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sidebar_label: Select sidebar_label: Select
title: Select title: Select
description: Query Data from TDengine.
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## Syntax ## Syntax
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sidebar_label: Functions sidebar_label: Functions
title: Functions title: Functions
toc_max_heading_level: 4 toc_max_heading_level: 4
description: TDengine Built-in Functions.
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## Single Row Functions ## Single Row Functions
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sidebar_label: Time-Series Extensions sidebar_label: Time-Series Extensions
title: Time-Series Extensions title: Time-Series Extensions
description: TimeSeries Data Specific Queries.
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As a purpose-built database for storing and processing time-series data, TDengine provides time-series-specific extensions to standard SQL. 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 sidebar_label: Data Subscription
title: Data Subscription title: Data Subscription
description: Subscribe Data from TDengine.
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The information in this document is related to the TDengine data subscription feature. The information in this document is related to the TDengine data subscription feature.
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sidebar_label: Stream Processing sidebar_label: Stream Processing
title: Stream Processing title: Stream Processing
description: Built-in Stream Processing.
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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. 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 sidebar_label: Operators
title: Operators title: Operators
description: TDengine Supported Operators
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## Arithmetic Operators ## Arithmetic Operators
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sidebar_label: JSON Type sidebar_label: JSON Type
title: JSON Type title: JSON Type
description: JSON Data Type
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title: Escape Characters title: Escape Characters
description: How to use Escape
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## Escape Characters ## Escape Characters
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sidebar_label: Name and Size Limits sidebar_label: Limits
title: Name and Size Limits title: Limits
description: Naming Limits
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## Naming Rules ## Naming Rules
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sidebar_label: Reserved Keywords sidebar_label: Keywords
title: Reserved Keywords title: Reserved Keywords
description: Reserved Keywords in TDengine SQL
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## Keyword List ## Keyword List
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sidebar_label: User-Defined Functions sidebar_label: UDF
title: User-Defined Functions (UDF) title: User-Defined Functions (UDF)
description: User Defined Functions
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You can create user-defined functions and import them into TDengine. You can create user-defined functions and import them into TDengine.
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--- ---
sidebar_label: Index sidebar_label: Index
title: Using Indices title: Using Indices
description: Use Index to Accelerate Query.
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TDengine supports SMA and FULLTEXT indexing. TDengine supports SMA and FULLTEXT indexing.
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title: taosBenchmark title: taosBenchmark
sidebar_label: taosBenchmark sidebar_label: taosBenchmark
description: Benchmark Tool for TDengine.
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## Introduction ## Introduction
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# FAQ
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