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.
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
/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 |
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 {
result_table_name = "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
}
}
Changelog
2.3.4-SNAPSHOT 2024-01-18
- Add Iceberg Sink Connector