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[Doc] Improve DB2 Source Vertica Source & DB2 Sink Vertica Sink docum…
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# DB2 | ||
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> JDBC DB2 Sink Connector | ||
## Support Those Engines | ||
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> Spark<br/> | ||
> Flink<br/> | ||
> SeaTunnel Zeta<br/> | ||
## Key Features | ||
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- [x] [exactly-once](../../concept/connector-v2-features.md) | ||
- [ ] [cdc](../../concept/connector-v2-features.md) | ||
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> Use `Xa transactions` to ensure `exactly-once`. So only support `exactly-once` for the database which is | ||
> support `Xa transactions`. You can set `is_exactly_once=true` to enable it. | ||
## Description | ||
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Write data through jdbc. Support Batch mode and Streaming mode, support concurrent writing, support exactly-once | ||
semantics (using XA transaction guarantee). | ||
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## Supported DataSource Info | ||
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| 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](https://mvnrepository.com/artifact/com.ibm.db2.jcc/db2jcc) | | ||
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## Database Dependency | ||
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> Please download the support list corresponding to 'Maven' and copy it to the '$SEATNUNNEL_HOME/plugins/jdbc/lib/' working directory<br/> | ||
> For example DB2 datasource: cp db2-connector-java-xxx.jar $SEATNUNNEL_HOME/plugins/jdbc/lib/ | ||
## Data Type Mapping | ||
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| DB2 Data type | SeaTunnel Data type | | ||
|------------------------------------------------------------------------------------------------------|---------------------|---| | ||
| BOOLEAN | BOOLEAN | | ||
| SMALLINT | SHORT | | ||
| INT<br/>INTEGER<br/> | INTEGER | | ||
| BIGINT | LONG | | ||
| DECIMAL<br/>DEC<br/>NUMERIC<br/>NUM | DECIMAL(38,18) | | ||
| REAL | FLOAT | | ||
| FLOAT<br/>DOUBLE<br/>DOUBLE PRECISION<br/>DECFLOAT | DOUBLE | | ||
| CHAR<br/>VARCHAR<br/>LONG VARCHAR<br/>CLOB<br/>GRAPHIC<br/>VARGRAPHIC<br/>LONG VARGRAPHIC<br/>DBCLOB | STRING | | ||
| BLOB | BYTES | | ||
| DATE | DATE | | ||
| TIME | TIME | | ||
| TIMESTAMP | TIMESTAMP | | ||
| ROWID<br/>XML | Not supported yet | | ||
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## Sink Options | ||
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| 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,<br/> 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 | 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.<br/>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.<br/>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`<br/>, 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<br/>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, DB2 is `com.db2.cj.jdbc.Db2XADataSource`, and<br/>please 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<br/>exactly-once semantics | | ||
| auto_commit | Boolean | No | true | Automatic transaction commit is enabled by default | | ||
| common-options | | no | - | Sink plugin common parameters, please refer to [Sink Common Options](common-options.md) for details | | ||
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### Tips | ||
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> 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 | ||
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### Simple: | ||
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> 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 DB2. And if you have not yet installed and deployed SeaTunnel, you need to follow the instructions in [Install SeaTunnel](../../start-v2/locally/deployment.md) to install and deploy SeaTunnel. And then follow the instructions in [Quick Start With SeaTunnel Engine](../../start-v2/locally/quick-start-seatunnel-engine.md) to run this job. | ||
``` | ||
# Defining the runtime environment | ||
env { | ||
# You can set flink configuration here | ||
execution.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:db2://127.0.0.1:50000/dbname" | ||
driver = "com.ibm.db2.jdbc.app.DB2Driver" | ||
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 | ||
} | ||
``` | ||
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### Generate Sink SQL | ||
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> 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:db2://127.0.0.1:50000/dbname" | ||
driver = "com.ibm.db2.jdbc.app.DB2Driver" | ||
user = "root" | ||
password = "123456" | ||
# Automatically generate sql statements based on database table names | ||
generate_sink_sql = true | ||
database = test | ||
table = test_table | ||
} | ||
} | ||
``` | ||
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### Exactly-once : | ||
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> For accurate write scene we guarantee accurate once | ||
``` | ||
sink { | ||
jdbc { | ||
url = "jdbc:db2://127.0.0.1:50000/dbname" | ||
driver = "com.ibm.db2.jdbc.app.DB2Driver" | ||
max_retries = 0 | ||
user = "root" | ||
password = "123456" | ||
query = "insert into test_table(name,age) values(?,?)" | ||
is_exactly_once = "true" | ||
xa_data_source_class_name = "com.db2.cj.jdbc.Db2XADataSource" | ||
} | ||
} | ||
``` | ||
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