Apache Gravitino Flink connector

Overview

The Apache Gravitino Flink connector implements the Catalog Store to manage the catalogs under Gravitino. This capability allows users to perform federation queries, accessing data from various catalogs through a unified interface and consistent access control.

Capabilities

1. Supports Hive catalog
2. Supports most DDL and DML SQLs.

Requirement

• Flink 1.18
• Scala 2.12
• JDK 8 or 11 or 17

How to use it

1. Build or download the Gravitino flink connector runtime jar, and place it to the classpath of Flink.
2. Configure the Flink configuration to use the Gravitino flink connector.

Property	Type	Default Value	Description	Required	Since Version
table.catalog-store.kind	string	generic_in_memory	The Catalog Store name, it should set to gravitino.	Yes	0.6.0
table.catalog-store.gravitino.gravitino.metalake	string	(none)	The metalake name that flink connector used to request to Gravitino.	Yes	0.6.0
table.catalog-store.gravitino.gravitino.uri	string	(none)	The uri of Gravitino server address.	Yes	0.6.0

Set the flink configuration in flink-conf.yaml.

table.catalog-store.kind=gravitino
table.catalog-store.gravitino.gravitino.metalake=test
table.catalog-store.gravitino.gravitino.uri=http://localhost:8080

Or you can set the flink configuration in the TableEnvironment.

final Configuration configuration = new Configuration();
configuration.setString("table.catalog-store.kind", "gravitino");
configuration.setString("table.catalog-store.gravitino.gravitino.metalake", "test");
configuration.setString("table.catalog-store.gravitino.gravitino.uri", "http://localhost:8080");
EnvironmentSettings.Builder builder = EnvironmentSettings.newInstance().withConfiguration(configuration);
TableEnvironment tableEnv = TableEnvironment.create(builder.inBatchMode().build());

3. Execute the Flink SQL query.

Suppose there is only one hive catalog with the name hive in the metalake test.

// use hive catalog
USE hive;
CREATE DATABASE db;
USE db;
CREATE TABLE hive_students (id INT, name STRING);
INSERT INTO hive_students VALUES (1, 'Alice'), (2, 'Bob');
SELECT * FROM hive_students;

Datatype mapping

Gravitino flink connector support the following datatype mapping between Flink and Gravitino.

Flink Type	Gravitino Type	Since Version
array	array	0.6.0
bigint	long	0.6.0
binary	fixed	0.6.0
boolean	boolean	0.6.0
char	char	0.6.0
date	date	0.6.0
decimal	decimal	0.6.0
double	double	0.6.0
float	float	0.6.0
integer	integer	0.6.0
map	map	0.6.0
null	null	0.6.0
row	struct	0.6.0
smallint	short	0.6.0
time	time	0.6.0
timestamp	timestamp without time zone	0.6.0
timestamp without time zone	timestamp without time zone	0.6.0
timestamp with time zone	timestamp with time zone	0.6.0
timestamp with local time zone	timestamp with time zone	0.6.0
timestamp_ltz	timestamp with time zone	0.6.0
tinyint	byte	0.6.0
varbinary	binary	0.6.0
varchar	string	0.6.0