Getting Started
On this page
You can download the latest version of SingleStore Spark Connector from Maven Central or SparkPackages.com.
and the artifact is singlestore-spark-connector_
.
The following matrix shows currently supported versions of the connector and their compatibility with different Spark versions:
Connector version |
Supported Spark versions |
Required JDBC driver |
---|---|---|
3. |
Spark 3. |
MariaDB JDBC driver version 2. |
3. |
Spark 3. |
MariaDB JDBC driver version 2. |
4. |
Spark 3. |
SingleStore JDBC driver version 1. |
4. |
Spark 3. |
SingleStore JDBC driver version 1. |
4. |
Spark 3. |
SingleStore JDBC driver version 1. |
Note
We recommend using the latest version of the connector compatible with the corresponding Spark version.
The connector follows the x.
naming convention, where x.
represents the connector version and y.
represents the corresponding Spark version.3.
, 3.
Release Highlights
Version 4.
-
Added support for JWT-based authentication.
-
Added support for connection pooling.
-
Added support for Spark 3.
3 for connector version 4. 1. 1. -
Added support for
clientEndpoint
option. -
Added multi-partition support to parallel read feature.
Version 4.
-
The connector uses the SingleStore JDBC driver instead of the MariaDB JDBC driver.
Version 3.
-
Added support for parallel reads from aggregator nodes.
-
Added support for repartition results by columns in parallel read from aggregators.
Version 3.
-
The connector uses the MariaDB JDBC driver and rebranded the connector from
memsql-spark-connector
tosinglestore-spark-connector
. -
Adapts the rebranding from
memsql
tosinglestore
.For example, configuration prefix changed from spark.
todatasource. memsql. <config_ name> spark.
.datasource. singlestore. <config_ name>
Related Topics
Last modified: August 23, 2022