Sink data from RisingWave to ClickHouse

This guide describes how to sink data from RisingWave to ClickHouse using the ClickHouse sink connector in RisingWave.

ClickHouse® is a high-performance, column-oriented SQL database management system (DBMS) for online analytical processing (OLAP). For more information about ClickHouse, see ClickHouse official website.

Beta Feature

The ClickHouse sink connector in RisingWave is currently in Beta. Please contact us if you encounter any issues or have feedback.

Prerequisites

• Ensure you already have a ClickHouse table that you can sink data to. For additional guidance on creating a table and setting up ClickHouse, refer to this quick start guide.

• Ensure you have an upstream materialized view or source that you can sink data from.

note

We highly recommend using the ReplacingMergeTree engine in ClickHouse. This is because it addresses the potential problem of duplicate writes in ClickHouse during RisingWave recovery when primary keys can be duplicated.

Syntax

CREATE SINK [ IF NOT EXISTS ] sink_name
[FROM sink_from | AS select_query]
WITH (
   connector='clickhouse',
   connector_parameter = 'value', ...
);

Parameters

Parameter Names	Description
type	Required. Specify if the sink should be upsert or append-only. If creating an upsert sink, see the Overview on when to define the primary key.
primary_key	Optional. A string of a list of column names, separated by commas, that specifies the primary key of the ClickHouse sink.
clickhouse.url	Required. Address of the ClickHouse server that you want to sink data to. Format: ip:port.
clickhouse.user	Required. User name for accessing the ClickHouse server.
clickhouse.password	Required. Password for accessing the ClickHouse server.
clickhouse.database	Required. Name of the ClickHouse database that you want to sink data to.
clickhouse.table	Required. Name of the ClickHouse table that you want to sink data to.

note

ClickHouse does not recommend using the upsert(update and delete) feature as it may result in significant performance degradation.

Examples

This section includes several examples that you can use if you want to quickly experiment with sinking data to ClickHouse.

Create an ClickHouse table (if you do not already have one)

For example, let's consider creating a basic ClickHouse table with the primary key as seq_id and the ENGINE set to ReplacingMergeTree. It's important to emphasize that without using ReplacingMergeTree or other deduplication techniques, there is a significant risk of duplicate writes to ClickHouse.

Note that only S3-compatible object store is supported, such as AWS S3 or MinIO.

CREATE TABLE demo_test(
    seq_id Int32,
    user_id Int32,
    user_name String
) ENGINE = ReplacingMergeTree
PRIMARY KEY (seq_id);

Create an upstream materialized view or source

The following query creates an append-only source. For more details on creating a source, see CREATE SOURCE.

CREATE SOURCE s1_source (
    seq_id integer,
    user_id integer,
    user_name varchar)
WITH (
    connector ='datagen',
    fields.seq_id.kind ='sequence',
    fields.seq_id.start ='1',
    fields.seq_id.end ='10000000',
    fields.user_id.kind ='random',
    fields.user_id.min ='1',
    fields.user_id.max ='10000000',
    fields.user_name.kind ='random',
    fields.user_name.length ='10',
    datagen.rows.per.second ='20000'
 ) FORMAT PLAIN ENCODE JSON;

Another option is to create an upsert table, which supports in-place updates. For more details on creating a table, see CREATE TABLE .

CREATE TABLE s1_table (
    seq_id integer,
    user_id integer,
    user_name varchar)
WITH (
    connector ='datagen',
    fields.seq_id.kind ='sequence',
    fields.seq_id.start ='1',
    fields.seq_id.end ='10000000',
    fields.user_id.kind ='random',
    fields.user_id.min ='1',
    fields.user_id.max ='10000000',
    fields.user_name.kind ='random',
    fields.user_name.length ='10',
    datagen.rows.per.second ='20000'
 ) FORMAT PLAIN ENCODE JSON;

Append-only sink from append-only source

If you have an append-only source and want to create an append-only sink, set type = append-only in the CREATE SINK SQL query.

CREATE SINK s1_sink FROM s1_source
WITH (
    connector = 'clickhouse',
    type = 'append-only',
    clickhouse.url = '${CLICKHOUSE_URL}',
    clickhouse.user = '${CLICKHOUSE_USER}',
    clickhouse.password = '${CLICKHOUSE_PASSWORD}',
    clickhouse.database = 'default',
    clickhouse.table='demo_test'
);

Append-only sink from upsert source

If you have an upsert source and want to create an append-only sink, set type = append-only and force_append_only = true. This will ignore delete messages in the upstream, and to turn upstream update messages into insert messages.

CREATE SINKs1_sink FROM s1_source
WITH (
    connector = 'clickhouse',
    type = 'append-only',
    clickhouse.url = '${CLICKHOUSE_URL}',
    clickhouse.user = '${CLICKHOUSE_USER}',
    clickhouse.password = '${CLICKHOUSE_PASSWORD}',
    clickhouse.database = 'default',
    clickhouse.table='demo_test'
);

Upsert sink from upsert source

If you have an upsert source and want to create an upsert sink, set type = upsert. When the sink type is upsert, be sure to set the primary_key field to specify the primary key of the downstream ClickHouse table.

CREATE SINK s1_sink FROM s1_table
WITH (
    connector = 'clickhouse',
    type = 'upsert',
    primary_key = 'seq_id',
    clickhouse.url = '${CLICKHOUSE_URL}',
    clickhouse.user = '${CLICKHOUSE_USER}',
    clickhouse.password = '${CLICKHOUSE_PASSWORD}',
    clickhouse.database = 'default',
    clickhouse.table='demo_test'
);