Clickhouse
Clickhouse sink connector
Description
Used to write data to Clickhouse.
Key features
The Clickhouse sink plug-in can achieve accuracy once by implementing idempotent writing, and needs to cooperate with aggregatingmergetree and other engines that support deduplication.
Write data to Clickhouse can also be done using JDBC
Options
| name | type | required | default value |
|---|---|---|---|
| host | string | yes | - |
| database | string | yes | - |
| table | string | yes | - |
| username | string | yes | - |
| password | string | yes | - |
| clickhouse.config | map | no | |
| bulk_size | string | no | 20000 |
| split_mode | string | no | false |
| sharding_key | string | no | - |
| primary_key | string | no | - |
| support_upsert | boolean | no | false |
| allow_experimental_lightweight_delete | boolean | no | false |
| common-options | no | - |
host [string]
ClickHouse cluster address, the format is host:port , allowing multiple hosts to be specified. Such as "host1:8123,host2:8123" .
database [string]
The ClickHouse database
table [string]
The table name
username [string]
ClickHouse user username
password [string]
ClickHouse user password
clickhouse.config [map]
In addition to the above mandatory parameters that must be specified by clickhouse-jdbc , users can also specify multiple optional parameters, which cover all the parameters provided by clickhouse-jdbc .
bulk_size [number]
The number of rows written through Clickhouse-jdbc each time, the default is 20000 .
split_mode [boolean]
This mode only support clickhouse table which engine is 'Distributed'.And internal_replication option
should be true. They will split distributed table data in seatunnel and perform write directly on each shard. The shard weight define is clickhouse will be
counted.
sharding_key [string]
When use split_mode, which node to send data to is a problem, the default is random selection, but the 'sharding_key' parameter can be used to specify the field for the sharding algorithm. This option only worked when 'split_mode' is true.
primary_key [string]
Mark the primary key column from clickhouse table, and based on primary key execute INSERT/UPDATE/DELETE to clickhouse table
support_upsert [boolean]
Support upsert row by query primary key
allow_experimental_lightweight_delete [boolean]
Allow experimental lightweight delete based on *MergeTree table engine
common options
Sink plugin common parameters, please refer to Sink Common Options for details
Examples
Simple
sink {
Clickhouse {
host = "localhost:8123"
database = "default"
table = "fake_all"
username = "default"
password = ""
clickhouse.confg = {
max_rows_to_read = "100"
read_overflow_mode = "throw"
}
}
}
Split mode
sink {
Clickhouse {
host = "localhost:8123"
database = "default"
table = "fake_all"
username = "default"
password = ""
# split mode options
split_mode = true
sharding_key = "age"
}
}
CDC(Change data capture)
sink {
Clickhouse {
host = "localhost:8123"
database = "default"
table = "fake_all"
username = "default"
password = ""
# cdc options
primary_key = "id"
support_upsert = true
}
}
CDC(Change data capture) for *MergeTree engine
sink {
Clickhouse {
host = "localhost:8123"
database = "default"
table = "fake_all"
username = "default"
password = ""
# cdc options
primary_key = "id"
support_upsert = true
allow_experimental_lightweight_delete = true
}
}
Changelog
2.2.0-beta 2022-09-26
- Add ClickHouse Sink Connector
2.3.0-beta 2022-10-20
- [Improve] Clickhouse Support Int128,Int256 Type (3067)