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Version: 2.3.3

Snowflake

JDBC Snowflake Source Connector

Support those engines​

Spark
Flink
SeaTunnel Zeta

Key features​

supports query SQL and can achieve projection effect.

Description​

Read external data source data through JDBC.

Supported DataSource list​

datasourcesupported versionsdriverurlmaven
snowflakeDifferent dependency version has different driver class.net.snowflake.client.jdbc.SnowflakeDriverjdbc❄️//<account_name>.snowflakecomputing.comDownload

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 typeSeaTunnel Data type
BOOLEANBOOLEAN
TINYINT
SMALLINT
BYTEINT
SHORT_TYPE
INT
INTEGER
INT
BIGINTLONG
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
DATEDATE
TIMETIME
DATETIME
TIMESTAMP
TIMESTAMP_LTZ
TIMESTAMP_NTZ
TIMESTAMP_TZ
TIMESTAMP
BINARY
VARBINARY
BYTES
GEOGRAPHY (WKB or EWKB)
GEOMETRY (WKB or EWKB)
BYTES
GEOGRAPHY (GeoJSON, WKT or EWKT)
GEOMETRY (GeoJSON, WKB or EWKB)
STRING

Options​

nametyperequireddefaultdescription
urlStringYes-The URL of the JDBC connection. Refer to a case: jdbc❄️//<account_name>.snowflakecomputing.com
driverStringYes-The jdbc class name used to connect to the remote data source,
if you use Snowflake the value is net.snowflake.client.jdbc.SnowflakeDriver.
userStringNo-Connection instance user name
passwordStringNo-Connection instance password
queryStringYes-Query statement
connection_check_timeout_secIntNo30The time in seconds to wait for the database operation used to validate the connection to complete
partition_columnStringNo-The column name for parallelism's partition, only support numeric type,Only support numeric type primary key, and only can config one column.
partition_lower_boundBigDecimalNo-The partition_column min value for scan, if not set SeaTunnel will query database get min value.
partition_upper_boundBigDecimalNo-The partition_column max value for scan, if not set SeaTunnel will query database get max value.
partition_numIntNojob parallelismThe number of partition count, only support positive integer. default value is job parallelism
fetch_sizeIntNo0For queries that return a large number of objects,you can configure
the row fetch size used in the query toimprove performance by
reducing the number database hits required to satisfy the selection criteria.
Zero means use jdbc default value.
common-optionsNo-Source plugin common parameters, please refer to Source Common Options for details

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.

JDBC Driver Connection Parameters are supported in JDBC connection string. E.g, you can add ?GEOGRAPHY_OUTPUT_FORMAT='EWKT' to specify the Geospatial Data Types. For more information about configurable parameters, and geospatial data types please visit Snowflake official document

Task Example​

simple:​

This example queries type_bin 'table' 16 data in your test "database" in single parallel and queries all of its fields. You can also specify which fields to query for final output to the console.

# Defining the runtime environment
env {
# You can set flink configuration here
execution.parallelism = 2
job.mode = "BATCH"
}
source{
Jdbc {
url = "jdbc:snowflake://<account_name>.snowflakecomputing.com"
driver = "net.snowflake.client.jdbc.SnowflakeDriver"
connection_check_timeout_sec = 100
user = "root"
password = "123456"
query = "select * from type_bin limit 16"
}
}
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/transform-v2/sql
}
sink {
Console {}
}

parallel:​

Read your query table in parallel with the shard field you configured and the shard data You can do this if you want to read the whole table

Jdbc {
url = "jdbc:snowflake://<account_name>.snowflakecomputing.com"
driver = "net.snowflake.client.jdbc.SnowflakeDriver"
connection_check_timeout_sec = 100
user = "root"
password = "123456"
# Define query logic as required
query = "select * from type_bin"
# Parallel sharding reads fields
partition_column = "id"
# Number of fragments
partition_num = 10
}

parallel boundary:​

It is more efficient to specify the data within the upper and lower bounds of the query It is more efficient to read your data source according to the upper and lower boundaries you configured

Jdbc {
url = "jdbc:snowflake://<account_name>.snowflakecomputing.com"
driver = "net.snowflake.client.jdbc.SnowflakeDriver"
connection_check_timeout_sec = 100
user = "root"
password = "123456"
# Define query logic as required
query = "select * from type_bin"
partition_column = "id"
# Read start boundary
partition_lower_bound = 1
# Read end boundary
partition_upper_bound = 500
partition_num = 10
}