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Merge pull request #1543 from ClickHouse/quicksight-connection
Quicksight connection docs
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1. After creating your ClickHouse Cloud Service, on the credentials screen, select the MySQL tab | ||
![Credentials screen - Prompt](./images/mysql1.png) | ||
2. Toggle the switch to enable the MySQL interface for this specific service. This will expose port `3306` for this service and prompt you with your MySQL connection screen that include your unique MySQL username. The password will be the same as the service's default user password. | ||
![Credentials screen - Enabled MySQL](./images/mysql2.png) | ||
Alternatively, in order to enable the MySQL interface for an existing service: | ||
3. Ensure your service is in `Running` state then click on the "View connection string" button for the service you want to enable the MySQL interface for | ||
![Connection screen - Prompt MySQL](./images/mysql3.png) | ||
4. Toggle the switch to enable the MySQL interface for this specific service. This will prompt you to enter the default password. | ||
![Connection screen - Prompt MySQL](./images/mysql4.png) | ||
5. After entering the password, you will get prompted the MySQL connection string for this service | ||
![Connection screen - MySQL Enabled](./images/mysql5.png) |
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Please refer to [the official documentation](https://clickhouse.com/docs/en/interfaces/mysql) | ||
on how to set up a ClickHouse server with enabled MySQL interface. | ||
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Aside from adding an entry to the server's `config.xml` | ||
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```xml | ||
<clickhouse> | ||
<mysql_port>9004</mysql_port> | ||
</clickhouse> | ||
``` | ||
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it is also _required_ to use | ||
[Double SHA1 password encryption](https://clickhouse.com/docs/en/operations/settings/settings-users#user-namepassword) | ||
for the user that will be using MySQL interface. | ||
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Generating a random password encrypted with Double SHA1 from the shell: | ||
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```shell | ||
PASSWORD=$(base64 < /dev/urandom | head -c16); echo "$PASSWORD"; echo -n "$PASSWORD" | sha1sum | tr -d '-' | xxd -r -p | sha1sum | tr -d '-' | ||
``` | ||
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The output should look like the following: | ||
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``` | ||
LZOQYnqQN4L/T6L0 | ||
fbc958cc745a82188a51f30de69eebfc67c40ee4 | ||
``` | ||
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The first line is the generated password, and the second line is the hash we could use to configure ClickHouse. | ||
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Here is an example configuration for `mysql_user` that uses the generated hash: | ||
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`/etc/clickhouse-server/users.d/mysql_user.xml` | ||
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```xml | ||
<users> | ||
<mysql_user> | ||
<password_double_sha1_hex>fbc958cc745a82188a51f30de69eebfc67c40ee4</password_double_sha1_hex> | ||
<networks> | ||
<ip>::/0</ip> | ||
</networks> | ||
<profile>default</profile> | ||
<quota>default</quota> | ||
</mysql_user> | ||
</users> | ||
``` | ||
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Replace `password_double_sha1_hex` entry with your own generated Double SHA1 hash. | ||
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Additionally, it is recommended to use `use_mysql_types_in_show_columns` | ||
to show the native MySQL types instead of ClickHouse ones in `SHOW [FULL] COLUMNS` query results, | ||
which allows BI tools to properly introspect the database schema when using MySQL connectors. | ||
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For example: | ||
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`/etc/clickhouse-server/users.d/mysql_user.xml` | ||
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```xml | ||
<profiles> | ||
<default> | ||
<use_mysql_types_in_show_columns>1</use_mysql_types_in_show_columns> | ||
</default> | ||
</profiles> | ||
``` | ||
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or assign it to a different profile instead of the default one. | ||
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If you have the `mysql` binary available, you can test the connection from the commandline. | ||
Using the sample username (`mysql_user`) and password (`LZOQYnqQN4L/T6L0`) from above the command line would be: | ||
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```bash | ||
mysql --protocol tcp -h localhost -u mysql_user -P 9004 --password=LZOQYnqQN4L/T6L0 | ||
``` | ||
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``` | ||
mysql> show databases; | ||
+--------------------+ | ||
| name | | ||
+--------------------+ | ||
| INFORMATION_SCHEMA | | ||
| default | | ||
| information_schema | | ||
| system | | ||
+--------------------+ | ||
4 rows in set (0.00 sec) | ||
Read 4 rows, 603.00 B in 0.00156 sec., 2564 rows/sec., 377.48 KiB/sec. | ||
``` |
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docs/en/integrations/data-visualization/quicksight-and-clickhouse.md
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--- | ||
sidebar_label: QuickSight | ||
slug: /en/integrations/quicksight | ||
keywords: [clickhouse, aws, amazon, quicksight, connect, integrate, ui] | ||
description: Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale. | ||
--- | ||
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import MySQLCloudSetup from '@site/docs/en/_snippets/_clickhouse_mysql_cloud_setup.mdx'; | ||
import MySQLOnPremiseSetup from '@site/docs/en/_snippets/_clickhouse_mysql_on_premise_setup.mdx'; | ||
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# QuickSight | ||
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QuickSight can connect to ClickHouse Cloud or on-premise ClickHouse setup via MySQL interface using the official MySQL data source. | ||
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## ClickHouse Cloud Setup | ||
<MySQLCloudSetup /> | ||
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## On-premise ClickHouse Server Setup | ||
<MySQLOnPremiseSetup /> | ||
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## Connecting QuickSight to ClickHouse | ||
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First of all, go to https://quicksight.aws.amazon.com, navigate to Datasets and click "New dataset": | ||
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<img src={require('./images/quicksight_01.png').default} class="image" alt="Creating a new dataset" style={{width: '75%', 'background-color': 'transparent'}}/> | ||
<br/> | ||
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Search for the official MySQL connector bundled with QuickSight (named just **MySQL**): | ||
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<img src={require('./images/quicksight_02.png').default} class="image" alt="MySQL connector search" style={{width: '75%', 'background-color': 'transparent'}}/> | ||
<br/> | ||
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Specify your connection details. Please note that MySQL interface port is 9004 by default, | ||
and it might be different depending on your server configuration. | ||
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<img src={require('./images/quicksight_03.png').default} class="image" alt="Specifying the connection details" style={{width: '75%', 'background-color': 'transparent'}}/> | ||
<br/> | ||
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Now, you have two options on how to fetch the data from ClickHouse. First, you could select a table from the list: | ||
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<img src={require('./images/quicksight_04.png').default} class="image" alt="Selecting a table from the list" style={{width: '75%', 'background-color': 'transparent'}}/> | ||
<br/> | ||
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Alternatively, you could specify a custom SQL to fetch your data: | ||
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<img src={require('./images/quicksight_05.png').default} class="image" alt="Using custom SQL to fetch the data" style={{width: '75%', 'background-color': 'transparent'}}/> | ||
<br/> | ||
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By clicking "Edit/Preview data", you should be able to see the introspected table structure or adjust your custom SQL, if that's how you decided to access the data: | ||
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<img src={require('./images/quicksight_06.png').default} class="image" alt="Viewing the introspected table structure" style={{width: '75%', 'background-color': 'transparent'}}/> | ||
<br/> | ||
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Now you can proceed with publishing your dataset and creating a new visualization! | ||
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## Known limitations | ||
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- Median aggregation does not work. See [#53066](https://github.com/ClickHouse/ClickHouse/issues/53066) for more details. | ||
- String types might not be recognized properly when `use_mysql_types_in_show_columns` setting is enabled. See [#52777](https://github.com/ClickHouse/ClickHouse/issues/52777) for more details. |
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