doc: english version of third-party
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@ -6,9 +6,7 @@ title: Grafana
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import Tabs from "@theme/Tabs";
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import TabItem from "@theme/TabItem";
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TDengine can be quickly integrated with the open-source data visualization system [Grafana](https://www.grafana.com/) to build a data monitoring and alerting system. The whole process does not require any code development. And you can visualize the contents of the data tables in TDengine on a dashboard.
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You can learn more about using the TDengine plugin on [GitHub](https://github.com/taosdata/grafanaplugin/blob/master/README.md).
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TDengine can be quickly integrated with the open-source data visualization system [Grafana](https://www.grafana.com/) to build a data monitoring and alerting system. The whole process does not require any code development. And you can visualize the contents of the data tables in TDengine on a dashboard. You can learn more about using the TDengine plugin on [GitHub](https://github.com/taosdata/grafanaplugin/blob/master/README.md).
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## Prerequisites
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@ -65,7 +63,6 @@ Restart Grafana service and open Grafana in web-browser, usually <http://localho
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Save the script and type `./install.sh --help` for the full usage of the script.
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</TabItem>
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<TabItem value="manual" label="Install & Configure Manually">
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Follow the installation steps in [Grafana](https://grafana.com/grafana/plugins/tdengine-datasource/?tab=installation) with the [``grafana-cli`` command-line tool](https://grafana.com/docs/grafana/latest/administration/cli/) for plugin installation.
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@ -76,7 +73,7 @@ grafana-cli plugins install tdengine-datasource
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sudo -u grafana grafana-cli plugins install tdengine-datasource
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```
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Alternatively, you can manually download the .zip file from [GitHub](https://github.com/taosdata/grafanaplugin/releases/tag/latest) or [Grafana](https://grafana.com/grafana/plugins/tdengine-datasource/?tab=installation) and unpack it into your grafana plugins directory.
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You can also download zip files from [GitHub](https://github.com/taosdata/grafanaplugin/releases/tag/latest) or [Grafana](https://grafana.com/grafana/plugins/tdengine-datasource/?tab=installation) and install manually. The commands are as follows:
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```bash
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GF_VERSION=3.2.2
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@ -131,7 +128,7 @@ docker run -d \
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grafana/grafana
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```
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You can setup a zero-configuration stack for TDengine + Grafana by [docker-compose](https://docs.docker.com/compose/) and [Grafana provisioning](https://grafana.com/docs/grafana/latest/administration/provisioning/) file:
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You can setup a zero-configuration stack for TDengine + Grafana by [docker-compose](https://docs.docker.com/compose/) and [Grafana provisioning](https://grafana.com/docs/grafana/latest/administration/provisioning/) file:
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1. Save the provisioning configuration file to `tdengine.yml`.
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@ -196,7 +193,7 @@ Go back to the main interface to create a dashboard and click Add Query to enter
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As shown above, select the `TDengine` data source in the `Query` and enter the corresponding SQL in the query box below for query.
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- INPUT SQL: enter the statement to be queried (the result set of the SQL statement should be two columns and multiple rows), for example: `select avg(mem_system) from log.dn where ts >= $from and ts < $to interval($interval)`, where, from, to and interval are built-in variables of the TDengine plugin, indicating the range and time interval of queries fetched from the Grafana plugin panel. In addition to the built-in variables, custom template variables are also supported.
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- INPUT SQL: Enter the desired query (the results being two columns and multiple rows), such as `select _wstart, avg(mem_system) from log.dnodes_info where ts >= $from and ts < $to interval($interval)`. In this statement, $from, $to, and $interval are variables that Grafana replaces with the query time range and interval. In addition to the built-in variables, custom template variables are also supported.
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- ALIAS BY: This allows you to set the current query alias.
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- GENERATE SQL: Clicking this button will automatically replace the corresponding variables and generate the final executed statement.
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@ -208,7 +205,11 @@ Follow the default prompt to query the average system memory usage for the speci
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### Importing the Dashboard
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You can install TDinsight dashboard in data source configuration page (like `http://localhost:3000/datasources/edit/1/dashboards`) as a monitoring visualization tool for TDengine cluster. The dashboard is published in Grafana as [Dashboard 15167 - TDinsight](https://grafana.com/grafana/dashboards/15167). Check the [TDinsight User Manual](/reference/tdinsight/) for the details.
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You can install TDinsight dashboard in data source configuration page (like `http://localhost:3000/datasources/edit/1/dashboards`) as a monitoring visualization tool for TDengine cluster. Ensure that you use TDinsight for 3.x.
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A dashboard for TDengine 2.x has been published on Grafana: [Dashboard 15167 - TDinsight](https://grafana.com/grafana/dashboards/15167)) 。 Check the [TDinsight User Manual](/reference/tdinsight/) for the details.
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For more dashboards using TDengine data source, [search here in Grafana](https://grafana.com/grafana/dashboards/?dataSource=tdengine-datasource). Here is a sub list:
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@ -1,6 +1,6 @@
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---
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sidebar_label: StatsD
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title: StatsD writing
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title: StatsD Writing
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---
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import StatsD from "../14-reference/_statsd.mdx"
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@ -12,8 +12,8 @@ You can write StatsD data to TDengine by simply modifying the configuration file
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## Prerequisites
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To write StatsD data to TDengine requires the following preparations.
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- The TDengine cluster has been deployed and is working properly
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- taosAdapter is installed and running properly. Please refer to the [taosAdapter manual](/reference/taosadapter) for details.
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1. The TDengine cluster is deployed and functioning properly
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2. taosAdapter is installed and running properly. Please refer to the taosAdapter manual for details.
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- StatsD has been installed. To install StatsD, please refer to [official documentation](https://github.com/statsd/statsd)
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## Configuration steps
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Use the TDengine CLI to verify that StatsD data is written to TDengine and can read out correctly.
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```
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Welcome to the TDengine shell from Linux, Client Version:2.4.0.0
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Copyright (c) 2020 by TAOS Data, Inc. All rights reserved.
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taos> show databases;
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name | created_time | ntables | vgroups | replica | quorum | days | keep | cache(MB) | blocks | minrows | maxrows | wallevel | fsync | comp | cachelast | precision | update | status |
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====================================================================================================================================================================================================================================================================================
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---
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sidebar_label: HiveMQ Broker
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title: HiveMQ Broker writing
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title: HiveMQ Broker Writing
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---
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[HiveMQ](https://www.hivemq.com/) is an MQTT broker that provides community and enterprise editions. HiveMQ is mainly for enterprise emerging machine-to-machine M2M communication and internal transport, meeting scalability, ease of management, and security features. HiveMQ provides an open-source plug-in development kit. MQTT data can be saved to TDengine via TDengine extension for HiveMQ. Please refer to the [HiveMQ extension - TDengine documentation](https://github.com/huskar-t/hivemq-tdengine-extension/blob/b62a26ecc164a310104df57691691b237e091c89/README_EN.md) for details on how to use it.
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[HiveMQ](https://www.hivemq.com/) is an MQTT broker that provides community and enterprise editions. HiveMQ is mainly for enterprise emerging machine-to-machine M2M communication and internal transport, meeting scalability, ease of management, and security features. HiveMQ provides an open-source plug-in development kit. MQTT data can be saved to TDengine via TDengine extension for HiveMQ. For more information, see [HiveMQ TDengine Extension](https://github.com/huskar-t/hivemq-tdengine-extension/blob/b62a26ecc164a310104df57691691b237e091c89/README_EN.md).
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