JDBC DB2 Source Connector
Support Those Engines
Spark
Flink
SeaTunnel Zeta
Description
Read external data source data through JDBC.
Using Dependency
For Spark/Flink Engine
- You need to ensure that the jdbc driver jar package has been placed in directory
${SEATUNNEL_HOME}/plugins/
.
For SeaTunnel Zeta Engine
- You need to ensure that the jdbc driver jar package has been placed in directory
${SEATUNNEL_HOME}/lib/
.
Key Features
supports query SQL and can achieve projection effect.
Supported DataSource Info
Datasource | Supported versions | Driver | Url | Maven |
---|---|---|---|---|
DB2 | Different dependency version has different driver class. | com.ibm.db2.jdbc.app.DB2Driver | jdbc:db2://127.0.0.1:50000/dbname | Download |
Database Dependency
Please download the support list corresponding to ‘Maven’ and copy it to the ‘$SEATNUNNEL_HOME/plugins/jdbc/lib/‘ working directory
For example DB2 datasource: cp db2-connector-java-xxx.jar $SEATNUNNEL_HOME/plugins/jdbc/lib/
Data Type Mapping
DB2 Data Type | SeaTunnel Data Type |
---|---|
BOOLEAN | BOOLEAN |
SMALLINT | SHORT |
INT INTEGER |
INTEGER |
BIGINT | LONG |
DECIMAL DEC NUMERIC NUM |
DECIMAL(38,18) |
REAL | FLOAT |
FLOAT DOUBLE DOUBLE PRECISION DECFLOAT |
DOUBLE |
CHAR VARCHAR LONG VARCHAR CLOB GRAPHIC VARGRAPHIC LONG VARGRAPHIC DBCLOB |
STRING |
BLOB | BYTES |
DATE | DATE |
TIME | TIME |
TIMESTAMP | TIMESTAMP |
ROWID XML |
Not supported yet |
Source Options
Name | Type | Required | Default | Description |
---|---|---|---|---|
url | String | Yes | - | The URL of the JDBC connection. Refer to a case: jdbc:db2://127.0.0.1:50000/dbname |
driver | String | Yes | - | The jdbc class name used to connect to the remote data source, if you use db2 the value is com.ibm.db2.jdbc.app.DB2Driver . |
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. |
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 | - | 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 {
parallelism = 2
job.mode = "BATCH"
}
source{
Jdbc {
url = "jdbc:db2://127.0.0.1:50000/dbname"
driver = "com.ibm.db2.jdbc.app.DB2Driver"
connection_check_timeout_sec = 100
user = "root"
password = "123456"
query = "select * from table_xxx"
}
}
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:db2://127.0.0.1:50000/dbname"
driver = "com.ibm.db2.jdbc.app.DB2Driver"
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:db2://127.0.0.1:50000/dbname"
driver = "com.ibm.db2.jdbc.app.DB2Driver"
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
}
}