Iceberg#

Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines including Spark, Trino, PrestoDB, Flink, Hive and Impala using a high-performance table format that works just like a SQL table.

Tip

This article assumes that you have mastered the basic knowledge and operation of Iceberg. For the knowledge about Iceberg not mentioned in this article, you can obtain it from its Official Documentation.

By using kyuubi, we can run SQL queries towards Iceberg which is more convenient, easy to understand, and easy to expand than directly using hive to manipulate Iceberg.

Iceberg Integration#

To enable the integration of kyuubi hive sql engine and Iceberg, you need to:

Dependencies#

The classpath of kyuubi hive sql engine with Iceberg supported consists of

  1. kyuubi-hive-sql-engine-build/mvn: line 99: help:evaluate: command not found_2.12.jar, the engine jar deployed with Kyuubi distributions

  2. a copy of hive distribution

  3. iceberg-hive-runtime-<hive.version>_<scala.version>-<iceberg.version>.jar (example: iceberg-hive-runtime-3.2_2.12-0.14.0.jar), which can be found in the Maven Central

In order to make the Iceberg packages visible for the runtime classpath of engines, we can use the method:

  1. Execute ADD JAR statement in the Kyuubi to add dependencies to Hive’s auxiliary classpath. For example:

ADD JAR /path/to/iceberg-hive-runtime.jar;

Warning

Please mind the compatibility of different Iceberg and Hive versions, which can be confirmed on the page of Iceberg multi engine support.

Configurations#

To activate functionality of Iceberg, we can set the following configurations: Set iceberg.engine.hive.enabled=true in the Hadoop configuration. For example, setting this in the hive-site.xml

Iceberg Operations#

Taking CREATE TABLE as a example,

CREATE TABLE x (i int) STORED BY 'org.apache.iceberg.mr.hive.HiveIcebergStorageHandler';
CREATE EXTERNAL TABLE x (i int) STORED BY 'org.apache.iceberg.mr.hive.HiveIcebergStorageHandler';

Taking SELECT as a example,

SELECT * FROM foo;

Taking INSERT as a example,

INSERT INTO foo VALUES (1, 'a'), (2, 'b'), (3, 'c');
INSERT OVERWRITE TABLE target SELECT * FROM source;

Taking ALTER as a example,

ALTER TABLE t SET TBLPROPERTIES('...'='...');