Adding a ClickHouse Data Source

Procedure for Adding a ClickHouse Data Source

1. Log in to FusionInsight Manager as a HetuEngine administrator and choose Cluster > Services > HetuEngine. The HetuEngine service page is displayed.
2. In the Basic Information area on the Dashboard tab page, click the link next to HSConsole WebUI. The HSConsole page is displayed.
3. Choose Data Source and click Add Data Source. On the Add Data Source page that is displayed, configure parameters.
   1. In the Basic Configuration area, configure Name and choose JDBC > ClickHouse for Data Source Type.
   2. Configure parameters in the ClickHouse Configuration area. For details, see Table 1.

      Table 1 ClickHouse Configuration

      Parameter	Description	Example Value
      Driver	The default value is clickhouse.	clickhouse
      JDBC URL	JDBC URL of the ClickHouse data source. If the ClickHouse data source uses IPv4, the format is jdbc:clickhouse://<host>:<port>. If the ClickHouse data source uses IPv6, the format is jdbc:clickhouse://[<host>]:<port>. To obtain the value of <host>, log in to Manager of the cluster where the ClickHouse data source is located, choose Cluster > Services > ClickHouse > Instance, and view the ClickHouseBalancer service IP address. Select an IP address randomly. Currently, only one IP address can be entered. To obtain the value of <port>, log in to Manager of the cluster where the ClickHouse data source is located, click Cluster, choose Services > ClickHouse, click Configurations, and click All Configurations. If the ClickHouse data source is in security mode, check the HTTPS port number of the ClickHouseBalancer instance, that is, the value of lb_https_port. If the ClickHouse data source is in normal mode, check the HTTP port number of the ClickHouseBalancer instance, that is, the value of lb_http_port.	jdbc:clickhouse://10.162.156.243:21426 or jdbc:clickhouse://10.162.156.243:21425
      Username	Username used for connecting to the ClickHouse data source.	Change the value based on the username being connected with the data source.
      Password	User password used for connecting to the ClickHouse data source.	Change the value based on the user password for connecting to the data source.
      Case-sensitive Table/Schema Name	Whether to support case-sensitive schema/table names of the data source. HetuEngine supports case-sensitive schema/table names of the data source. No: If multiple table names exist in the same schema of a data source, for example, cktable (lowercase), CKTABLE (uppercase), and CKtable (lowercase and uppercase), only cktable (lowercase) can be used by HetuEngine. Yes: Only one table name can exist in the same schema of the data source, for example, cktable (lowercase), CKTABLE (uppercase), or CKtable (lowercase and uppercase). Otherwise, all tables in the schema cannot be used by HetuEngine.	-

   3. (Optional) Customize the configuration.
      You can click Add to add custom configuration parameters. Configure custom parameters of the ClickHouse data source. For details, see Table 2.

      Table 2 Custom parameters of the ClickHouse data source

      Parameter	Description	Example Value
      use-connection-pool	Whether to use the JDBC connection pool.	true
      jdbc.connection.pool.maxTotal	Maximum number of connections in the JDBC connection pool.	8
      jdbc.connection.pool.maxIdle	Maximum number of idle connections in the JDBC connection pool.	8
      jdbc.connection.pool.minIdle	Minimum number of idle connections in the JDBC connection pool.	0
      jdbc.connection.pool.testOnBorrow	Whether to check the connection validity when using a connection obtained from the JDBC connection pool.	false
      clickhouse.map-string-as-varchar	Whether to convert the ClickHouse data source of the String and FixedString types to the Varchar type. Default value: true	true
      clickhouse.socket-timeout	Timeout interval for connecting to the ClickHouse data source. Unit: millisecond Default value: 120000	120000
      case-insensitive-name-matching.cache-ttl	Timeout interval for caching case-sensitive names of schemas or tables of the data sources. Unit: minute Default value: 1	1

      You can click Delete to delete custom configuration parameters.

   4. Click OK.

4. Log in to the node where the cluster client is located and run the following commands to switch to the client installation directory and authenticate the user:

   cd /opt/client

   source bigdata_env

   kinit User performing HetuEngine operations (If the cluster is in normal mode, skip this step.)

5. Run the following command to log in to the catalog of the data source:

   hetu-cli --catalog Data source name --schema Database name

   For example, run the following command:

   hetu-cli --catalog clickhouse_1 --schema default

6. Run the following command. If the database table information can be viewed or no error is reported, the connection is successful.

   show tables;

ClickHouse Data Type Mapping

Performance Optimization

• Subquery pushdown

  The query pushdown function is supported to improve query speed.

• Scalar UDF pushdown

  The Scalar UDF pushdown function is enabled by default. Before you use this function, create a mapping function in HetuEngine as needed.

Constraints on ClickHouse Data Source

• HetuEngine supports interconnecting with ClickHouse using the following SQL syntaxes: SHOW CATALOGS, SCHEMAS, TABLES, COLUMNS, DESCRIBE, USE, and SELECT TABLE/VIEW.
• Tables and views that support interconnection between HetuEngine and ClickHouse:

  Item	Supported Table and View
  Tables that support interconnection between HetuEngine and ClickHouse	Local table (MergeTree)
  	Replicated table (ReplicatedReplacingMergeTree)
  	Distributed table
  Views that support interconnection between HetuEngine and ClickHouse	Normal view
  	Materialized view