未验证 提交 9bd355f5 编写于 作者: W wade zhang 提交者: GitHub

Merge pull request #12535 from taosdata/docs/wade-20220516

docs: refine some labels
---
sidebar_label: Data Types
title: Data Types
description: "The data types supported by TDengine include timestamp, float, JSON, etc"
---
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---
sidebar_label: Planning
title: Capacity Planning
title: Resource Planning
---
The computing and storage resources need to be planned if using TDengine to build an IoT platform. How to plan the CPU, memory and disk required will be described in this chapter.
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---
title: Import Data
title: Data Import
---
There are multiple ways of importing data provided byTDengine: import with script, import from data file, import using `taosdump`.
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---
title: Export Data
title: Data Export
---
There are two ways of exporting data from a TDengine cluster, one is SQL statement in TDengine CLI, the other one is `taosdump`.
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---
title: Monitor TDengine
title: TDengine Monitoring
---
After TDengine is started, a database named `log` for monitoring is created automatically. The information about CPU, memory, disk, bandwidth, number of requests, disk I/O speed, slow query is written into `log` database on the basis of a predefined interval. Besides, some important system operations, like logon, create user, drop database, and alerts and warnings generated in TDengine are written into `log` database too. System operator can view the data in `log` database from TDengine CLI or from a web console.
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---
title: Optimize Performance
title: Performance Optimization
---
After a TDengine cluster has been running for long enough time, because of updating data, deleting tables and deleting expired data, there may be fragments in data files and query performance may be impacted. To resolve the problem of fragments, from version 2.1.3.0 a new SQL command `COMPACT` can be used to defragment the data files.
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---
title: Diagnose Problems
title: Problem Diagnostics
---
## Network Connection Diagnostics
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