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doc: fix broken links

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gccgdb1234 2022-08-22 18:32:16 +08:00
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docs/en/01-index.md
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@ -13,7 +13,7 @@ TDengine greatly improves the efficiency of data ingestion, querying and storage
If you are a developer, please read the [“Developer Guide”](./develop) carefully. This section introduces the database connection, data modeling, data ingestion, query, continuous query, cache, data subscription, user-defined functions, and other functionality in detail. Sample code is provided for a variety of programming languages. In most cases, you can just copy and paste the sample code, make a few changes to accommodate your application, and it will work.
We live in the era of big data, and scale-up is unable to meet the growing needs of business. Any modern data system must have the ability to scale out, and clustering has become an indispensable feature of big data systems. Not only did the TDengine team develop the cluster feature, but also decided to open source this important feature. To learn how to deploy, manage and maintain a TDengine cluster please refer to ["cluster"](./cluster).
We live in the era of big data, and scale-up is unable to meet the growing needs of business. Any modern data system must have the ability to scale out, and clustering has become an indispensable feature of big data systems. Not only did the TDengine team develop the cluster feature, but also decided to open source this important feature. To learn how to deploy, manage and maintain a TDengine cluster please refer to ["cluster deployment"](../deployment).
TDengine uses ubiquitious SQL as its query language, which greatly reduces learning costs and migration costs. In addition to the standard SQL, TDengine has extensions to better support time series data analysis. These extensions include functions such as roll up, interpolation and time weighted average, among many others. The ["SQL Reference"](./taos-sql) chapter describes the SQL syntax in detail, and lists the various supported commands and functions.

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docs/en/02-intro/index.md
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@ -16,9 +16,9 @@ The major features are listed below:
3. Support for [all kinds of queries](/develop/query-data), including aggregation, nested query, downsampling, interpolation and others.
4. Support for [user defined functions](/develop/udf).
5. Support for [caching](/develop/cache). TDengine always saves the last data point in cache, so Redis is not needed in some scenarios.
6. Support for [continuous query](/develop/continuous-query).
7. Support for [data subscription](/develop/subscribe) with the capability to specify filter conditions.
8. Support for [cluster](/cluster/), with the capability of increasing processing power by adding more nodes. High availability is supported by replication.
6. Support for [continuous query](../develop/stream).
7. Support for [data subscription](../develop/tmq with the capability to specify filter conditions.
8. Support for [cluster](../deployment/), with the capability of increasing processing power by adding more nodes. High availability is supported by replication.
9. Provides an interactive [command-line interface](/reference/taos-shell) for management, maintenance and ad-hoc queries.
10. Provides many ways to [import](/operation/import) and [export](/operation/export) data.
11. Provides [monitoring](/operation/monitor) on running instances of TDengine.

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docs/en/13-operation/01-pkg-install.md
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@ -10,7 +10,7 @@ TDengine community version provides deb and rpm packages for users to choose fro
## Install
About details of installing TDenine, please refer to [Installation Guide](../../get-started/pkg-install).
About details of installing TDenine, please refer to [Installation Guide](../../get-started/package/).
## Uninstall

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docs/en/25-application/03-immigrate.md
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@ -419,11 +419,11 @@ Note that once the installation is complete, do not immediately start the `taosd
To ensure that the system can obtain the necessary information for regular operation. Please set the following vital parameters correctly on the server:
FQDN, firstEp, secondEP, dataDir, logDir, tmpDir, serverPort. For the specific meaning and setting requirements of each parameter, please refer to the document "[TDengine Cluster Installation and Management](/cluster/)"
FQDN, firstEp, secondEP, dataDir, logDir, tmpDir, serverPort. For the specific meaning and setting requirements of each parameter, please refer to the document "[TDengine Cluster Deployment](../../deployment)"
Follow the same steps to set parameters on the other nodes, start the taosd service, and then add Dnodes to the cluster.
Finally, start `taos` and execute the `show dnodes` command. If you can see all the nodes that have joined the cluster, the cluster building process was successfully completed. For specific operation procedures and precautions, please refer to the document "[TDengine Cluster Installation and Management](/cluster/)".
Finally, start `taos` and execute the `show dnodes` command. If you can see all the nodes that have joined the cluster, the cluster building process was successfully completed. For specific operation procedures and precautions, please refer to the document "[TDengine Cluster Deployment](../../deployment)".
## Appendix 4: Super Table Names
@ -431,5 +431,5 @@ Since OpenTSDB's metric name has a dot (".") in it, for example, a metric with a
## Appendix 5: Reference Articles
1. [Using TDengine + collectd/StatsD + Grafana to quickly build an IT operation and maintenance monitoring system](/application/collectd/)
2. [Write collected data directly to TDengine through collectd](/third-party/collectd/)
1. [Using TDengine + collectd/StatsD + Grafana to quickly build an IT operation and maintenance monitoring system](../collectd/)
2. [Write collected data directly to TDengine through collectd](../collectd/)