Oracle
JDBC Oracle Sink Connector
Support Those Enginesâ
Spark
Flink
SeaTunnel Zeta
Descriptionâ
Write data through jdbc. Support Batch mode and Streaming mode, support concurrent writing, support exactly-once semantics (using XA transaction guarantee).
Using Dependencyâ
For Spark/Flink Engineâ
- You need to ensure that the jdbc driver jar package has been placed in directory
${SEATUNNEL_HOME}/plugins/
.
For SeaTunnel Zeta Engineâ
- You need to ensure that the jdbc driver jar package has been placed in directory
${SEATUNNEL_HOME}/lib/
.
Key Featuresâ
Use
Xa transactions
to ensureexactly-once
. So only supportexactly-once
for the database which is supportXa transactions
. You can setis_exactly_once=true
to enable it.
Supported DataSource Infoâ
Datasource | Supported Versions | Driver | Url | Maven |
---|---|---|---|---|
Oracle | Different dependency version has different driver class. | oracle.jdbc.OracleDriver | jdbc:oracle:thin:@datasource01:1523:xe | https://mvnrepository.com/artifact/com.oracle.database.jdbc/ojdbc8 |
Database Dependencyâ
Please download the support list corresponding to 'Maven' and copy it to the '$SEATNUNNEL_HOME/plugins/jdbc/lib/' working directory
For example Oracle datasource: cp ojdbc8-xxxxxx.jar $SEATNUNNEL_HOME/lib/
To support the i18n character set, copy the orai18n.jar to the $SEATNUNNEL_HOME/lib/ directory.
Data Type Mappingâ
Oracle Data Type | SeaTunnel Data Type |
---|---|
INTEGER | INT |
FLOAT | DECIMAL(38, 18) |
NUMBER(precision <= 9, scale == 0) | INT |
NUMBER(9 < precision <= 18, scale == 0) | BIGINT |
NUMBER(18 < precision, scale == 0) | DECIMAL(38, 0) |
NUMBER(scale != 0) | DECIMAL(38, 18) |
BINARY_DOUBLE | DOUBLE |
BINARY_FLOAT REAL | FLOAT |
CHAR NCHAR NVARCHAR2 VARCHAR2 LONG ROWID NCLOB CLOB | STRING |
DATE | DATE |
TIMESTAMP TIMESTAMP WITH LOCAL TIME ZONE | TIMESTAMP |
BLOB RAW LONG RAW BFILE | BYTES |
Optionsâ
Name | Type | Required | Default | Description |
---|---|---|---|---|
url | String | Yes | - | The URL of the JDBC connection. Refer to a case: jdbc:oracle:thin:@datasource01:1523:xe |
driver | String | Yes | - | The jdbc class name used to connect to the remote data source, if you use Oracle the value is oracle.jdbc.OracleDriver . |
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 batch_interval_ms , the data will be flushed into the database |
batch_interval_ms | Int | No | 1000 | For batch writing, when the number of buffers reaches the number of batch_size or the time reaches batch_interval_ms , the data will be flushed into the database |
is_exactly_once | Boolean | No | false | Whether to enable exactly-once semantics, which will use Xa transactions. If on, you need to set xa_data_source_class_name . |
generate_sink_sql | Boolean | No | false | Generate sql statements based on the database table you want to write to. |
xa_data_source_class_name | String | No | - | The xa data source class name of the database Driver, for example, Oracle is oracle.jdbc.xa.client.OracleXADataSource , andplease refer to appendix for other data sources |
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 | |
schema_save_mode | Enum | No | CREATE_SCHEMA_WHEN_NOT_EXIST | Before the synchronous task is turned on, different treatment schemes are selected for the existing surface structure of the target side. |
data_save_mode | Enum | No | APPEND_DATA | Before the synchronous task is turned on, different processing schemes are selected for data existing data on the target side. |
custom_sql | String | No | - | When data_save_mode selects CUSTOM_PROCESSING, you should fill in the CUSTOM_SQL parameter. This parameter usually fills in a SQL that can be executed. SQL will be executed before synchronization tasks. |
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 |
Tipsâ
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 Exampleâ
Simple:â
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 Oracle. 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 {
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/connector-v2/source
}
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:oracle:thin:@datasource01:1523:xe"
driver = "oracle.jdbc.OracleDriver"
user = root
password = 123456
query = "INSERT INTO TEST.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/connector-v2/sink
}
Generate Sink SQLâ
This example not need to write complex sql statements, you can configure the database name table name to automatically generate add statements for you
sink {
Jdbc {
url = "jdbc:oracle:thin:@datasource01:1523:xe"
driver = "oracle.jdbc.OracleDriver"
user = root
password = 123456
generate_sink_sql = true
database = XE
table = "TEST.TEST_TABLE"
}
}
Exactly-once :â
For accurate write scene we guarantee accurate once
sink {
jdbc {
url = "jdbc:oracle:thin:@datasource01:1523:xe"
driver = "oracle.jdbc.OracleDriver"
max_retries = 0
user = root
password = 123456
query = "INSERT INTO TEST.TEST_TABLE(NAME,AGE) VALUES(?,?)"
is_exactly_once = "true"
xa_data_source_class_name = "oracle.jdbc.xa.client.OracleXADataSource"
}
}
CDC(Change Data Capture) Eventâ
CDC change data is also supported by us In this case, you need config database, table and primary_keys.
sink {
jdbc {
url = "jdbc:oracle:thin:@datasource01:1523:xe"
driver = "oracle.jdbc.OracleDriver"
user = root
password = 123456
generate_sink_sql = true
# You need to configure both database and table
database = XE
table = "TEST.TEST_TABLE"
primary_keys = ["ID"]
schema_save_mode = "CREATE_SCHEMA_WHEN_NOT_EXIST"
data_save_mode="APPEND_DATA"
}
}