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[Feature][Connector-v2] Add Snowflake Source&Sink connector (#4470)
--------- Co-authored-by: Eric <gaojun2048@gmail.com> Co-authored-by: hailin0 <wanghailin@apache.org>
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| # Snowflake | ||
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| > JDBC Snowflake Sink Connector | ||
| > | ||
| > ## Support those engines | ||
| > | ||
| > Spark<br/> | ||
| > Flink<br/> | ||
| > Seatunnel Zeta<br/> | ||
| > | ||
| ## Key features | ||
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| - [ ] [exactly-once](../../concept/connector-v2-features.md) | ||
| - [x] [cdc](../../concept/connector-v2-features.md) | ||
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| ## Description | ||
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| Write data through jdbc. Support Batch mode and Streaming mode, support concurrent writing. | ||
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| ## Supported DataSource list | ||
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| | datasource | supported versions | driver | url | maven | | ||
| |------------|----------------------------------------------------------|-------------------------------------------|--------------------------------------------------------|-----------------------------------------------------------------------------| | ||
| | snowflake | Different dependency version has different driver class. | net.snowflake.client.jdbc.SnowflakeDriver | jdbc:snowflake://<account_name>.snowflakecomputing.com | [Download](https://mvnrepository.com/artifact/net.snowflake/snowflake-jdbc) | | ||
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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 Snowflake datasource: cp snowflake-connector-java-xxx.jar $SEATNUNNEL_HOME/plugins/jdbc/lib/ | ||
| > | ||
| ## Data Type Mapping | ||
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| | Snowflake Data type | Seatunnel Data type | | ||
| |-----------------------------------------------------------------------------|---------------------| | ||
| | BOOLEAN | BOOLEAN | | ||
| | TINYINT<br/>SMALLINT<br/>BYTEINT<br/> | SHORT_TYPE | | ||
| | INT<br/>INTEGER<br/> | INT | | ||
| | BIGINT | LONG | | ||
| | DECIMAL<br/>NUMERIC<br/>NUMBER<br/> | DECIMAL(x,y) | | ||
| | DECIMAL(x,y)(Get the designated column's specified column size.>38) | DECIMAL(38,18) | | ||
| | REAL<br/>FLOAT4 | FLOAT | | ||
| | DOUBLE<br/>DOUBLE PRECISION<br/>FLOAT8<br/>FLOAT<br/> | DOUBLE | | ||
| | CHAR<br/>CHARACTER<br/>VARCHAR<br/>STRING<br/>TEXT<br/>VARIANT<br/>OBJECT | STRING | | ||
| | DATE | DATE | | ||
| | TIME | TIME | | ||
| | DATETIME<br/>TIMESTAMP<br/>TIMESTAMP_LTZ<br/>TIMESTAMP_NTZ<br/>TIMESTAMP_TZ | TIMESTAMP | | ||
| | BINARY<br/>VARBINARY<br/>GEOGRAPHY<br/>GEOMETRY | BYTES | | ||
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| ## Options | ||
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| | name | type | required | default value | description | | ||
| |-------------------------------------------|---------|----------|---------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | ||
| | url | String | Yes | - | The URL of the JDBC connection. Refer to a case: jdbc:snowflake://<account_name>.snowflakecomputing.com | | ||
| | driver | String | Yes | - | The jdbc class name used to connect to the remote data source,<br/> if you use Snowflake the value is `net.snowflake.client.jdbc.SnowflakeDriver`. | | ||
| | 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 | | ||
| | 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 snowflake database. 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:snowflake://<account_name>.snowflakecomputing.com" | ||
| > driver = "net.snowflake.client.jdbc.SnowflakeDriver" | ||
| > 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 | ||
| > } | ||
| > ``` | ||
| ### CDC(Change data capture) event | ||
| > CDC change data is also supported by us In this case, you need config database, table and primary_keys. | ||
| > | ||
| > ``` | ||
| > jdbc { | ||
| > url = "jdbc:snowflake://<account_name>.snowflakecomputing.com" | ||
| > driver = "net.snowflake.client.jdbc.SnowflakeDriver" | ||
| > user = "root" | ||
| > password = "123456" | ||
| > | ||
| > ``` | ||
| # You need to configure both database and table | ||
| database = test | ||
| table = sink_table | ||
| primary_keys = ["id","name"] | ||
| } | ||
| ``` | ||
| ``` | ||
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