Iceberg

Overview

Apache Iceberg is a high-performance format for huge analytic tables.

Version

Extract Node	Version
Iceberg	Iceberg: 1.13+

Dependencies

<dependency>
    <groupId>org.apache.inlong</groupId>
    <artifactId>sort-connector-iceberg</artifactId>
    <version>2.1.0-SNAPSHOT</version>
</dependency>

Usage

Before creating the Iceberg task, we need a Flink environment integrated with Hadoop.

• Download Apache Hadoop.
• Modify jobmanager.sh and taskmanager.sh and add Hadoop environment variables. For commands, please refer to Apache Flink.

export HADOOP_CLASSPATH=`$HADOOP_HOME/bin/hadoop classpath`

• Modify docker-compose.yml in the docker/docker-compose and mount Hadoop and Flink startup commands into the container:

  jobmanager:
    image: apache/flink:1.15-scala_2.12
    container_name: jobmanager
    user: root
    environment:
      - |
        FLINK_PROPERTIES=
        jobmanager.rpc.address: jobmanager
    volumes:
      # Mount Hadoop
      - HADOOP_HOME:HADOOP_HOME
      # Mount the modified jobmanager.sh which adds the HADOOP_HOME env correctly
      - /jobmanager.sh:/opt/flink/bin/jobmanager.sh
    ports:
      - "8081:8081"
    command: jobmanager

  taskmanager:
    image: apache/flink:1.15-scala_2.12
    container_name: taskmanager
    environment:
      - |
        FLINK_PROPERTIES=
        jobmanager.rpc.address: jobmanager
        taskmanager.numberOfTaskSlots: 2
    volumes:
      # Mount Hadoop
      - HADOOP_HOME:HADOOP_HOME
      # Mount the modified taskmanager.sh which adds the HADOOP_HOME env correctly
      - /taskmanager.sh:/opt/flink/bin/taskmanager.sh
    command: taskmanager

Flink SQL API

Before using Flink sql client, sql-client.sh also needs to add Hadoop environment variables and mounted to the container. For commands, please refer to Apache Flink.

export HADOOP_CLASSPATH=`$HADOOP_HOME/bin/hadoop classpath`

使用 Flink sql cli：

CREATE TABLE `iceberg_table_source`(
    PRIMARY KEY (`_id`) NOT ENFORCED,
    `_id` STRING,
    `id` INT,
    `name` STRING,
    `age` INT)
    WITH (
    'connector' = 'iceberg-inlong',
    'catalog-database' = 'DATABASES',
    'catalog-table' = 'TABLE',
    'catalog-type' = 'HIVE',
    'catalog-name' = 'HIVE',
    'streaming' = 'true',
    'uri' = 'thrift://127.0.0.1:9083'
);

Dashboard

Source → Create → Iceberg

Manager Client

TODO

Options

Options	Required	Type	Description
connector	required	String	Specify what connector to use, here should be 'iceberg-inlong'
catalog-database	required	String	Database name managed in the Iceberg directory
catalog-table	required	String	Table name managed in Iceberg catalogs and databases
catalog-type	required	String	hive or hadoop for built-in directories
catalog-name	required	String	directory name
uri	required	String	The thrift URI of Hive metastore, such as: thrift://127.0.0.1:9083
warehouse	optional	String	For a Hive directory, the Hive repository location. For the hadoop directory, it is the HDFS directory that stores metadata files and data files.
inlong.metric.labels	optional	String	In long metric label, the format of value is groupId=xxgroup&streamId=xxstream&nodeId=xxnode

Data Type Mapping

Flink SQL Type	Iceberg Type
CHAR	STRING
VARCHAR	STRING
STRING	STRING
BOOLEAN	BOOLEAN
BINARY	FIXED(L)
VARBINARY	BINARY
DECIMAL	DECIMAL(P,S)
TINYINT	INT
SMALLINT	INT
INTEGER	INT
BIGINT	LONG
FLOAT	FLOAT
DOUBLE	DOUBLE
DATE	DATE
TIME	TIME
TIMESTAMP	TIMESTAMP
TIMESTAMP_LTZ	TIMESTAMPTZ
INTERVAL	-
ARRAY	LIST
MULTISET	MAP
MAP	MAP
ROW	STRUCT
RAW	-