.. Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at .. http://www.apache.org/licenses/LICENSE-2.0 .. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. `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 spark to manipulate Iceberg. Iceberg Integration ------------------- To enable the integration of kyuubi spark sql engine and Iceberg through Apache Spark Datasource V2 and Catalog APIs, you need to: - Referencing the Iceberg :ref:`dependencies` - Setting the spark extension and catalog :ref:`configurations` .. _spark-iceberg-deps: Dependencies ************ The **classpath** of kyuubi spark sql engine with Iceberg supported consists of 1. kyuubi-spark-sql-engine-\ |release|\ _2.12.jar, the engine jar deployed with Kyuubi distributions 2. a copy of spark distribution 3. iceberg-spark-runtime-_-.jar (example: iceberg-spark-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 one of these methods: 1. Put the Iceberg packages into ``$SPARK_HOME/jars`` directly 2. Set ``spark.jars=/path/to/iceberg-spark-runtime`` .. warning:: Please mind the compatibility of different Iceberg and Spark versions, which can be confirmed on the page of `Iceberg multi engine support`_. .. _spark-iceberg-conf: Configurations ************** To activate functionality of Iceberg, we can set the following configurations: .. code-block:: properties spark.sql.catalog.spark_catalog=org.apache.iceberg.spark.SparkCatalog spark.sql.catalog.spark_catalog.type=hive spark.sql.catalog.spark_catalog.uri=thrift://metastore-host:port spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions Iceberg Operations ------------------ Taking ``CREATE TABLE`` as a example, .. code-block:: sql CREATE TABLE foo ( id bigint COMMENT 'unique id', data string) USING iceberg; Taking ``SELECT`` as a example, .. code-block:: sql SELECT * FROM foo; Taking ``INSERT`` as a example, .. code-block:: sql INSERT INTO foo VALUES (1, 'a'), (2, 'b'), (3, 'c'); Taking ``UPDATE`` as a example, Spark 3.1 added support for UPDATE queries that update matching rows in tables. .. code-block:: sql UPDATE foo SET data = 'd', id = 4 WHERE id >= 3 and id < 4; Taking ``DELETE FROM`` as a example, Spark 3 added support for DELETE FROM queries to remove data from tables. .. code-block:: sql DELETE FROM foo WHERE id >= 1 and id < 2; Taking ``MERGE INTO`` as a example, .. code-block:: sql MERGE INTO target_table t USING source_table s ON t.id = s.id WHEN MATCHED AND s.opType = 'delete' THEN DELETE WHEN MATCHED AND s.opType = 'update' THEN UPDATE SET id = s.id, data = s.data WHEN NOT MATCHED AND s.opType = 'insert' THEN INSERT (id, data) VALUES (s.id, s.data); .. _Iceberg: https://iceberg.apache.org/ .. _Official Documentation: https://iceberg.apache.org/docs/latest/ .. _Maven Central: https://mvnrepository.com/artifact/org.apache.iceberg .. _Iceberg multi engine support: https://iceberg.apache.org/multi-engine-support/