Snowflake

JDBC Snowflake Sink Connector

Support Those Engines

Spark
Flink
SeaTunnel Zeta

Key Features

• exactly-once
• cdc

Description

Write data through jdbc. Support Batch mode and Streaming mode, support concurrent writing.

Supported DataSource list

Datasource	Supported Versions	Driver	Url	Maven
snowflake	Different dependency version has different driver class.	net.snowflake.client.jdbc.SnowflakeDriver	jdbc❄️//<account_name>.snowflakecomputing.com	Download

Database dependency

Please download the support list corresponding to 'Maven' and copy it to the '$SEATNUNNEL_HOME/plugins/jdbc/lib/' working directory
For example Snowflake datasource: cp snowflake-connector-java-xxx.jar $SEATNUNNEL_HOME/plugins/jdbc/lib/

Data Type Mapping

Snowflake Data Type	SeaTunnel Data Type
BOOLEAN	BOOLEAN
TINYINT SMALLINT BYTEINT	SHORT_TYPE
INT INTEGER	INT
BIGINT	LONG
DECIMAL NUMERIC NUMBER	DECIMAL(x,y)
DECIMAL(x,y)(Get the designated column's specified column size.>38)	DECIMAL(38,18)
REAL FLOAT4	FLOAT
DOUBLE DOUBLE PRECISION FLOAT8 FLOAT	DOUBLE
CHAR CHARACTER VARCHAR STRING TEXT VARIANT OBJECT	STRING
DATE	DATE
TIME	TIME
DATETIME TIMESTAMP TIMESTAMP_LTZ TIMESTAMP_NTZ TIMESTAMP_TZ	TIMESTAMP
BINARY VARBINARY GEOGRAPHY GEOMETRY	BYTES

Options

Name	Type	Required	Default	Description
url	String	Yes	-	The URL of the JDBC connection. Refer to a case: jdbc❄️//<account_name>.snowflakecomputing.com
driver	String	Yes	-	The jdbc class name used to connect to the remote data source, if you use Snowflake the value is net.snowflake.client.jdbc.SnowflakeDriver.
user	String	No	-	Connection instance user name
password	String	No	-	Connection instance password
query	String	No	-	Use this sql write upstream input datas to database. e.g INSERT ...,query have the higher priority
database	String	No	-	Use this database and table-name auto-generate sql and receive upstream input datas write to database. This option is mutually exclusive with query and has a higher priority.
table	String	No	-	Use database and this table-name auto-generate sql and receive upstream input datas write to database. This option is mutually exclusive with query and has a higher priority.
primary_keys	Array	No	-	This option is used to support operations such as insert, delete, and update when automatically generate sql.
support_upsert_by_query_primary_key_exist	Boolean	No	false	Choose to use INSERT sql, UPDATE sql to process update events(INSERT, UPDATE_AFTER) based on query primary key exists. This configuration is only used when database unsupport upsert syntax. Note: that this method has low performance
connection_check_timeout_sec	Int	No	30	The time in seconds to wait for the database operation used to validate the connection to complete.
max_retries	Int	No	0	The number of retries to submit failed (executeBatch)
batch_size	Int	No	1000	For batch writing, when the number of buffered records reaches the number of batch_size or the time reaches checkpoint.interval , the data will be flushed into the database
max_commit_attempts	Int	No	3	The number of retries for transaction commit failures
transaction_timeout_sec	Int	No	-1	The timeout after the transaction is opened, the default is -1 (never timeout). Note that setting the timeout may affect exactly-once semantics
auto_commit	Boolean	No	true	Automatic transaction commit is enabled by default
properties	Map	No	-	Additional connection configuration parameters,when properties and URL have the same parameters, the priority is determined by the specific implementation of the driver. For example, in MySQL, properties take precedence over the URL.
common-options		No	-	Sink plugin common parameters, please refer to Sink Common Options for details
enable_upsert	Boolean	No	true	Enable upsert by primary_keys exist, If the task has no key duplicate data, setting this parameter to false can speed up data import

tips

If partition_column is not set, it will run in single concurrency, and if partition_column is set, it will be executed in parallel according to the concurrency of tasks.

Task Example

simple:

This example defines a SeaTunnel synchronization task that automatically generates data through FakeSource and sends it to JDBC Sink. FakeSource generates a total of 16 rows of data (row.num=16), with each row having two fields, name (string type) and age (int type). The final target table is test_table will also be 16 rows of data in the table. Before run this job, you need create database test and table test_table in your snowflake database. And if you have not yet installed and deployed SeaTunnel, you need to follow the instructions in Install SeaTunnel to install and deploy SeaTunnel. And then follow the instructions in Quick Start With SeaTunnel Engine to run this job.

# Defining the runtime environment
env {
    parallelism = 1
    job.mode = "BATCH"
}
source {
    # This is a example source plugin **only for test and demonstrate the feature source plugin**
    FakeSource {
        parallelism = 1
        result_table_name = "fake"
        row.num = 16
        schema = {
            fields {
                name = "string"
                age = "int"
            }
        }
    }
    # If you would like to get more information about how to configure seatunnel and see full list of source plugins,
    # please go to https://seatunnel.apache.org/docs/category/source-v2
}
transform {
    # If you would like to get more information about how to configure seatunnel and see full list of transform plugins,
    # please go to https://seatunnel.apache.org/docs/category/transform-v2
}
sink {
    jdbc {
        url = "jdbc:snowflake://<account_name>.snowflakecomputing.com"
        driver = "net.snowflake.client.jdbc.SnowflakeDriver"
        user = "root"
        password = "123456"
        query = "insert into test_table(name,age) values(?,?)"
    }
    # If you would like to get more information about how to configure seatunnel and see full list of sink plugins,
    # please go to https://seatunnel.apache.org/docs/category/sink-v2
}

CDC(Change data capture) event

CDC change data is also supported by us In this case, you need config database, table and primary_keys.

sink {
   jdbc {
   url = "jdbc:snowflake://<account_name>.snowflakecomputing.com"
   driver = "net.snowflake.client.jdbc.SnowflakeDriver"
   user = "root"
   password = "123456"
   generate_sink_sql = true
   
   
   # You need to configure both database and table
   database = test
   table = sink_table
   primary_keys = ["id","name"]
  }
}