Apache Iceberg

Apache Iceberg sink connector

Support Iceberg Version

• 1.4.2

Support Those Engines

Spark
Flink
SeaTunnel Zeta

Description

Sink connector for Apache Iceberg. It can support cdc mode 、auto create table and table schema evolution.

Key features

• support multiple table write

Supported DataSource Info

Datasource	Dependent	Maven
Iceberg	hive-exec	Download
Iceberg	libfb303	Download

Database Dependency

In order to be compatible with different versions of Hadoop and Hive, the scope of hive-exec in the project pom file are provided, so if you use the Flink engine, first you may need to add the following Jar packages to <FLINK_HOME>/lib directory, if you are using the Spark engine and integrated with Hadoop, then you do not need to add the following Jar packages.

hive-exec-xxx.jar
libfb303-xxx.jar

Some versions of the hive-exec package do not have libfb303-xxx.jar, so you also need to manually import the Jar package.

Data Type Mapping

SeaTunnel Data type	Iceberg Data type
BOOLEAN	BOOLEAN
INT	INTEGER
BIGINT	LONG
FLOAT	FLOAT
DOUBLE	DOUBLE
DATE	DATE
TIME	TIME
TIMESTAMP	TIMESTAMP
STRING	STRING
BYTES	FIXED BINARY
DECIMAL	DECIMAL
ROW	STRUCT
ARRAY	LIST
MAP	MAP

Sink Options

Name	Type	Required	Default	Description
catalog_name	string	yes	default	User-specified catalog name. default is default
namespace	string	yes	default	The iceberg database name in the backend catalog. default is default
table	string	yes	-	The iceberg table name in the backend catalog.
iceberg.catalog.config	map	yes	-	Specify the properties for initializing the Iceberg catalog, which can be referenced in this file:"https://github.com/apache/iceberg/blob/main/core/src/main/java/org/apache/iceberg/CatalogProperties.java"
hadoop.config	map	no	-	Properties passed through to the Hadoop configuration
iceberg.hadoop-conf-path	string	no	-	The specified loading paths for the 'core-site.xml', 'hdfs-site.xml', 'hive-site.xml' files.
case_sensitive	boolean	no	false	If data columns where selected via schema [config], controls whether the match to the schema will be done with case sensitivity.
iceberg.table.write-props	map	no	-	Properties passed through to Iceberg writer initialization, these take precedence, such as 'write.format.default', 'write.target-file-size-bytes', and other settings, can be found with specific parameters at 'https://github.com/apache/iceberg/blob/main/core/src/main/java/org/apache/iceberg/TableProperties.java'.
iceberg.table.auto-create-props	map	no	-	Configuration specified by Iceberg during automatic table creation.
iceberg.table.schema-evolution-enabled	boolean	no	false	Setting to true enables Iceberg tables to support schema evolution during the synchronization process
iceberg.table.primary-keys	string	no	-	Default comma-separated list of columns that identify a row in tables (primary key)
iceberg.table.partition-keys	string	no	-	Default comma-separated list of partition fields to use when creating tables
iceberg.table.upsert-mode-enabled	boolean	no	false	Set to true to enable upsert mode, default is false
schema_save_mode	Enum	no	CREATE_SCHEMA_WHEN_NOT_EXIST	the schema save mode, please refer to schema_save_mode below
data_save_mode	Enum	no	APPEND_DATA	the data save mode, please refer to data_save_mode below
custom_sql	string	no	-	Custom delete data sql for data save mode. e.g: delete from ... where ...
iceberg.table.commit-branch	string	no	-	Default branch for commits

Task Example

Simple:

env {
  parallelism = 1
  job.mode = "STREAMING"
  checkpoint.interval = 5000
}

source {
  MySQL-CDC {
    plugin_output = "customers_mysql_cdc_iceberg"
    server-id = 5652
    username = "st_user"
    password = "seatunnel"
    table-names = ["mysql_cdc.mysql_cdc_e2e_source_table"]
    base-url = "jdbc:mysql://mysql_cdc_e2e:3306/mysql_cdc"
  }
}

transform {
}

sink {
  Iceberg {
    catalog_name="seatunnel_test"
    iceberg.catalog.config={
      "type"="hadoop"
      "warehouse"="file:///tmp/seatunnel/iceberg/hadoop-sink/"
    }
    namespace="seatunnel_namespace"
    table="iceberg_sink_table"
    iceberg.table.write-props={
      write.format.default="parquet"
      write.target-file-size-bytes=536870912
    }
    iceberg.table.primary-keys="id"
    iceberg.table.partition-keys="f_datetime"
    iceberg.table.upsert-mode-enabled=true
    iceberg.table.schema-evolution-enabled=true
    case_sensitive=true
  }
}

Hive Catalog:

sink {
  Iceberg {
    catalog_name="seatunnel_test"
    iceberg.catalog.config={
      type = "hive"
      uri = "thrift://localhost:9083"
      warehouse = "hdfs://your_cluster//tmp/seatunnel/iceberg/"
    }
    namespace="seatunnel_namespace"
    table="iceberg_sink_table"
    iceberg.table.write-props={
      write.format.default="parquet"
      write.target-file-size-bytes=536870912
    }
    iceberg.table.primary-keys="id"
    iceberg.table.partition-keys="f_datetime"
    iceberg.table.upsert-mode-enabled=true
    iceberg.table.schema-evolution-enabled=true
    case_sensitive=true
  }
}

Hadoop catalog:

sink {
  Iceberg {
    catalog_name="seatunnel_test"
    iceberg.catalog.config={
      type = "hadoop"
      warehouse = "hdfs://your_cluster/tmp/seatunnel/iceberg/"
    }
    namespace="seatunnel_namespace"
    table="iceberg_sink_table"
    iceberg.table.write-props={
      write.format.default="parquet"
      write.target-file-size-bytes=536870912
    }
    iceberg.table.primary-keys="id"
    iceberg.table.partition-keys="f_datetime"
    iceberg.table.upsert-mode-enabled=true
    iceberg.table.schema-evolution-enabled=true
    case_sensitive=true
  }
}

Multiple table

example1

env {
  parallelism = 1
  job.mode = "STREAMING"
  checkpoint.interval = 5000
}

source {
  Mysql-CDC {
    base-url = "jdbc:mysql://127.0.0.1:3306/seatunnel"
    username = "root"
    password = "******"
    
    table-names = ["seatunnel.role","seatunnel.user","galileo.Bucket"]
  }
}

transform {
}

sink {
  Iceberg {
    ...
    namespace = "${database_name}_test"
    table = "${table_name}_test"
  }
}

example2

env {
  parallelism = 1
  job.mode = "BATCH"
}

source {
  Jdbc {
    driver = oracle.jdbc.driver.OracleDriver
    url = "jdbc:oracle:thin:@localhost:1521/XE"
    user = testUser
    password = testPassword

    table_list = [
      {
        table_path = "TESTSCHEMA.TABLE_1"
      },
      {
        table_path = "TESTSCHEMA.TABLE_2"
      }
    ]
  }
}

transform {
}

sink {
  Iceberg {
    ...
    namespace = "${schema_name}_test"
    table = "${table_name}_test"
  }
}

Changelog

2.3.4-SNAPSHOT 2024-01-18

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