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
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
- Add Iceberg Sink Connector