QuickSight
QuickSight can connect to on-premise ClickHouse setup (23.11+) via MySQL interface using the official MySQL data source and Direct Query mode.
On-premise ClickHouse Server Setup
Please refer to the official documentation on how to set up a ClickHouse server with enabled MySQL interface.
Aside from adding an entry to the server's config.xml
<clickhouse>
<mysql_port>9004</mysql_port>
</clickhouse>
it is also required to use Double SHA1 password encryption for the user that will be using MySQL interface.
Generating a random password encrypted with Double SHA1 from the shell:
PASSWORD=$(base64 < /dev/urandom | head -c16); echo "$PASSWORD"; echo -n "$PASSWORD" | sha1sum | tr -d '-' | xxd -r -p | sha1sum | tr -d '-'
The output should look like the following:
LZOQYnqQN4L/T6L0
fbc958cc745a82188a51f30de69eebfc67c40ee4
The first line is the generated password, and the second line is the hash we could use to configure ClickHouse.
Here is an example configuration for mysql_user
that uses the generated hash:
/etc/clickhouse-server/users.d/mysql_user.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>
Replace password_double_sha1_hex
entry with your own generated Double SHA1 hash.
QuickSight requires several additional settings in the MySQL user's profile.
/etc/clickhouse-server/users.d/mysql_user.xml
<profiles>
<default>
<prefer_column_name_to_alias>1</prefer_column_name_to_alias>
<mysql_map_string_to_text_in_show_columns>1</mysql_map_string_to_text_in_show_columns>
<mysql_map_fixed_string_to_text_in_show_columns>1</mysql_map_fixed_string_to_text_in_show_columns>
</default>
</profiles>
However, it is recommended to assign it to a different profile that can be used by your MySQL user instead of the default one.
Finally, configure the Clickhouse Server to listen on the desired IP address(es).
In config.xml
, uncomment out the following to listen on all addresses:
<listen_host>::</listen_host>
If you have the mysql
binary available, you can test the connection from the command line.
Using the sample username (mysql_user
) and password (LZOQYnqQN4L/T6L0
) from above the command line would be:
mysql --protocol tcp -h localhost -u mysql_user -P 9004 --password=LZOQYnqQN4L/T6L0
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.
Connecting QuickSight to ClickHouse
First of all, go to https://quicksight.aws.amazon.com, navigate to Datasets and click "New dataset":
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Search for the official MySQL connector bundled with QuickSight (named just MySQL):
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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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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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Alternatively, you could specify a custom SQL to fetch your data:
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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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Make sure you have "Direct Query" mode selected in the bottom left corner of the UI:
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Now you can proceed with publishing your dataset and creating a new visualization!
Known limitations
- SPICE import doesn't work as expected; please use Direct Query mode instead. See #58553.