Vertica

JDBC Vertica Source Connector

Support Those Engines

Spark
Flink
SeaTunnel Zeta

Key Features

• batch
• stream
• exactly-once
• column projection
• parallelism
• support user-defined split

supports query SQL and can achieve projection effect.

Description

Read external data source data through JDBC.

Supported DataSource Info

Datasource	Supported versions	Driver	Url	Maven
Vertica	Different dependency version has different driver class.	com.vertica.jdbc.Driver	jdbc:vertica://localhost:5433/vertica	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 Vertica datasource: cp vertica-jdbc-xxx.jar $SEATNUNNEL_HOME/plugins/jdbc/lib/

Data Type Mapping

Vertical Data type	SeaTunnel Data type
BIT	BOOLEAN
TINYINT TINYINT UNSIGNED SMALLINT SMALLINT UNSIGNED MEDIUMINT MEDIUMINT UNSIGNED INT INTEGER YEAR	INT
INT UNSIGNED INTEGER UNSIGNED BIGINT	LONG
BIGINT UNSIGNED	DECIMAL(20,0)
DECIMAL(x,y)(Get the designated column's specified column size.<38)	DECIMAL(x,y)
DECIMAL(x,y)(Get the designated column's specified column size.>38)	DECIMAL(38,18)
DECIMAL UNSIGNED	DECIMAL((Get the designated column's specified column size)+1, (Gets the designated column's number of digits to right of the decimal point.)))
FLOAT FLOAT UNSIGNED	FLOAT
DOUBLE DOUBLE UNSIGNED	DOUBLE
CHAR VARCHAR TINYTEXT MEDIUMTEXT TEXT LONGTEXT JSON	STRING
DATE	DATE
TIME	TIME
DATETIME TIMESTAMP	TIMESTAMP
TINYBLOB MEDIUMBLOB BLOB LONGBLOB BINARY VARBINAR BIT(n)	BYTES
GEOMETRY UNKNOWN	Not supported yet

Source Options

Name	Type	Required	Default	Description
url	String	Yes	-	The URL of the JDBC connection. Refer to a case: jdbc:vertica://localhost:5433/vertica
driver	String	Yes	-	The jdbc class name used to connect to the remote data source, if you use Vertica the value is com.vertica.jdbc.Driver.
user	String	No	-	Connection instance user name
password	String	No	-	Connection instance password
query	String	Yes	-	Query statement
connection_check_timeout_sec	Int	No	30	The time in seconds to wait for the database operation used to validate the connection to complete
partition_column	String	No	-	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_bound	BigDecimal	No	-	The partition_column min value for scan, if not set SeaTunnel will query database get min value.
partition_upper_bound	BigDecimal	No	-	The partition_column max value for scan, if not set SeaTunnel will query database get max value.
partition_num	Int	No	job parallelism	The number of partition count, only support positive integer. default value is job parallelism
fetch_size	Int	No	0	For 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-options		No	-	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.

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:vertica://localhost:5433/vertica"
        driver = "com.vertica.jdbc.Driver"
        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

source {
    Jdbc {
        url = "jdbc:vertica://localhost:5433/vertica"
        driver = "com.vertica.jdbc.Driver"
        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

source {
    Jdbc {
        url = "jdbc:vertica://localhost:5433/vertica"
        driver = "com.vertica.jdbc.Driver"
        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
    }
}