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title: “Spark connector Paimon catalog” slug: /spark-connector/spark-catalog-paimon keyword: spark connector paimon catalog license: “This software is licensed under the Apache License version 2.”

The Apache Gravitino Spark connector offers the capability to read and write Paimon tables, with the metadata managed by the Gravitino server.

Preparation

1. Set spark.sql.gravitino.enablePaimonSupport to true in Spark configuration.
2. Download Paimon Spark runtime jar to Spark classpath.

Capabilities

Support DDL and DML operations:

• CREATE NAMESPACE
• DROP NAMESPACE
• LIST NAMESPACE
• LOAD NAMESPACE
  • It can not return any user-specified configs now, as we only support FilesystemCatalog in spark-connector now.
• CREATE TABLE
  • Doesn't support distribution and sort orders.
• DROP TABLE
• ALTER TABLE
• LIST TABLE
• DESRICE TABLE
• SELECT
• INSERT INTO & OVERWRITE
• Schema Evolution
• PARTITION MANAGEMENT, such as LIST PARTITIONS, ALTER TABLE ... DROP PARTITION ...

:::info Only supports Paimon FilesystemCatalog on HDFS now. :::

Not supported operations:

• ALTER NAMESPACE
  • Paimon does not support alter namespace.
• Row Level operations, such as MERGE INTO, DELETE, UPDATE, TRUNCATE
• Metadata tables, such as {paimon_catalog}.{paimon_database}.{paimon_table}$snapshots
• Other Paimon extension SQLs, such as Tag
• Call Statements
• View
• Time Travel
• Hive and Jdbc backend, and Object Storage for FilesystemCatalog

SQL example

-- Suppose paimon_catalog is the Paimon catalog name managed by Gravitino
USE paimon_catalog;

CREATE DATABASE IF NOT EXISTS mydatabase;
USE mydatabase;

CREATE TABLE IF NOT EXISTS employee (
  id bigint,
  name string,
  department string,
  hire_date timestamp
) PARTITIONED BY (name);

SHOW TABLES;
DESC TABLE EXTENDED employee;

INSERT INTO employee
VALUES
(1, 'Alice', 'Engineering', TIMESTAMP '2021-01-01 09:00:00'),
(2, 'Bob', 'Marketing', TIMESTAMP '2021-02-01 10:30:00'),
(3, 'Charlie', 'Sales', TIMESTAMP '2021-03-01 08:45:00');

SELECT * FROM employee WHERE name = 'Alice';

SHOW PARTITIONS employee;
ALTER TABLE employee DROP PARTITION (`name`='Alice');

Catalog properties

Gravitino spark connector will transform below property names which are defined in catalog properties to Spark Paimon connector configuration.

Gravitino catalog property name	Spark Paimon connector configuration	Description	Since Version
catalog-backend	metastore	Catalog backend type	0.8.0-incubating
uri	uri	Catalog backend uri	0.8.0-incubating
warehouse	warehouse	Catalog backend warehouse	0.8.0-incubating

Gravitino catalog property names with the prefix spark.bypass. are passed to Spark Paimon connector. For example, using spark.bypass.client-pool-size to pass the client-pool-size to the Spark Paimon connector.