docs/en/connectors/sink/SqlServer.md
import ChangeLog from '../changelog/connector-jdbc.md';
JDBC SQL Server Sink Connector
Spark
Flink
Seatunnel Zeta
Write data through jdbc. Support Batch mode and Streaming mode, support concurrent writing, support exactly-once semantics (using XA transaction guarantee).
- You need to ensure that the jdbc driver jar package has been placed in directory
${SEATUNNEL_HOME}/plugins/.
- You need to ensure that the jdbc driver jar package has been placed in directory
${SEATUNNEL_HOME}/lib/.
Use
Xa transactionsto ensureexactly-once. So only supportexactly-oncefor the database which is supportXa transactions. You can setis_exactly_once=trueto enable it.
| Datasource | Supported Versions | Driver | Url | Maven |
|---|---|---|---|---|
| SQL Server | support version >= 2008 | com.microsoft.sqlserver.jdbc.SQLServerDriver | jdbc:sqlserver://localhost:1433 | Download |
Please download the support list corresponding to 'Maven' and copy it to the '$SEATUNNEL_HOME/plugins/jdbc/lib/' working directory
For example SQL Server datasource: cp mssql-jdbc-xxx.jar $SEATUNNEL_HOME/plugins/jdbc/lib/
| SQLserver Data Type | SeaTunnel Data Type |
|---|---|
| BIT | BOOLEAN |
| TINYINT | |
| SMALLINT | SHORT |
| INTEGER | INT |
| BIGINT | LONG |
| DECIMAL | |
| NUMERIC | |
| MONEY | |
| SMALLMONEY | DECIMAL((Get the designated column's specified column size)+1, |
| (Gets the designated column's number of digits to right of the | |
| decimal point.))) | |
| REAL | FLOAT |
| FLOAT | DOUBLE |
| CHAR | |
| NCHAR | |
| VARCHAR | |
| NTEXT | |
| NVARCHAR | |
| TEXT | STRING |
| DATE | LOCAL_DATE |
| TIME | LOCAL_TIME |
| DATETIME | |
| DATETIME2 | |
| SMALLDATETIME | |
| DATETIMEOFFSET | LOCAL_DATE_TIME |
| TIMESTAMP | |
| BINARY | |
| VARBINARY | |
| IMAGE | |
| UNKNOWN | Not supported yet |
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
| url | String | Yes | - | The URL of the JDBC connection. Refer to a case: jdbc:sqlserver://localhost:1433;databaseName=mydatabase |
| driver | String | Yes | - | The jdbc class name used to connect to the remote data source, |
if you use sqlServer the value is com.microsoft.sqlserver.jdbc.SQLServerDriver. | ||||
| username | 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. |
| 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 checkpoint.interval |
| , 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, SqlServer is com.microsoft.sqlserver.jdbc.SQLServerXADataSource, and |
| 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 |
| 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 for details | |
| 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 |
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.
This is one that reads Sqlserver data and inserts it directly into another table
env {
# You can set engine configuration here
parallelism = 10
}
source {
# This is a example source plugin **only for test and demonstrate the feature source plugin**
Jdbc {
driver = com.microsoft.sqlserver.jdbc.SQLServerDriver
url = "jdbc:sqlserver://localhost:1433;databaseName=column_type_test"
username = SA
password = "Y.sa123456"
query = "select * from column_type_test.dbo.full_types_jdbc"
# Parallel sharding reads fields
partition_column = "id"
# Number of fragments
partition_num = 10
}
# 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/Jdbc
}
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 {
Jdbc {
driver = com.microsoft.sqlserver.jdbc.SQLServerDriver
url = "jdbc:sqlserver://localhost:1433;databaseName=column_type_test"
username = SA
password = "Y.sa123456"
query = "insert into full_types_jdbc_sink( id, val_char, val_varchar, val_text, val_nchar, val_nvarchar, val_ntext, val_decimal, val_numeric, val_float, val_real, val_smallmoney, val_money, val_bit, val_tinyint, val_smallint, val_int, val_bigint, val_date, val_time, val_datetime2, val_datetime, val_smalldatetime ) 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/Jdbc
}
CDC change data is also supported by us In this case, you need config database, table and primary_keys.
Jdbc {
plugin_input = "customers"
driver = com.microsoft.sqlserver.jdbc.SQLServerDriver
url = "jdbc:sqlserver://localhost:1433;databaseName=column_type_test"
username = SA
password = "Y.sa123456"
generate_sink_sql = true
database = "column_type_test"
table = "dbo.full_types_sink"
batch_size = 100
primary_keys = ["id"]
}
Transactional writes may be slower but more accurate to the data
Jdbc {
driver = com.microsoft.sqlserver.jdbc.SQLServerDriver
url = "jdbc:sqlserver://localhost:1433;databaseName=column_type_test"
username = SA
password = "Y.sa123456"
query = "insert into full_types_jdbc_sink( id, val_char, val_varchar, val_text, val_nchar, val_nvarchar, val_ntext, val_decimal, val_numeric, val_float, val_real, val_smallmoney, val_money, val_bit, val_tinyint, val_smallint, val_int, val_bigint, val_date, val_time, val_datetime2, val_datetime, val_smalldatetime ) values( ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ? )"
is_exactly_once = "true"
xa_data_source_class_name = "com.microsoft.sqlserver.jdbc.SQLServerXADataSource"
} # 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/Jdbc