# Getting Started with the SingleStore Spark Connector The SingleStore Spark Connector supports SingleStore versions 7.1+. Version support varies for different versions of the connector. You can download the latest version of SingleStore Spark Connector from [Maven Central](https://search.maven.org/artifact/com.singlestore/singlestore-spark-connector_2.12) or [SparkPackages](https://spark-packages.org/package/memsql/memsql-spark-connector). You can download the source code from its [GitHub](https://github.com/memsql/singlestore-spark-connector) repository. The group is `com.singlestore` and the artifact is `singlestore-spark-connector_`. Refer to the connector’s [Maven Repository](https://mvnrepository.com/artifact/com.singlestore/singlestore-spark-connector) for related information. The following matrix shows currently supported versions of the connector and their compatibility with different Spark versions: | Connector version | Supported Spark versions | | ----------------- | ---------------------------------------------------------------------------- | | 5.0.0 | Spark 4.0.0, Spark 3.5.0, Spark 3.4.2, Spark 3.3.4, Spark 3.2.4, Spark 3.1.3 | | 4.2.2 | Spark 4.0.0, Spark 3.5.0, Spark 3.4.2, Spark 3.3.4, Spark 3.2.4, Spark 3.1.3 | | 4.2.1 | Spark 4.0.0, Spark 3.5.0, Spark 3.4.2, Spark 3.3.4, Spark 3.2.4, Spark 3.1.3 | | 4.2.0 | Spark 4.0.0, Spark 3.5.0, Spark 3.4.2, Spark 3.3.4, Spark 3.2.4, Spark 3.1.3 | | 4.1.10 | Spark 3.5.0, Spark 3.4.2, Spark 3.3.4, Spark 3.2.4, Spark 3.1.3 | | 4.1.9 | Spark 3.5.0, Spark 3.4.2, Spark 3.3.4, Spark 3.2.4, Spark 3.1.3 | | 4.1.8 | Spark 3.1, Spark 3.2, Spark 3.3, Spark 3.4, Spark 3.5 | | 4.1.7 | Spark 3.1, Spark 3.2, Spark 3.3, Spark 3.4, Spark 3.5 | | 4.1.6 | Spark 3.1, Spark 3.2, Spark 3.3, Spark 3.4, Spark 3.5 | | 4.1.5 | Spark 3.0, Spark 3.1, Spark 3.2, Spark 3.3, Spark 3.4, Spark 3.5 | | 4.1.4 | Spark 3.0, Spark 3.1, Spark 3.2, Spark 3.3, Spark 3.4 | | 4.1.3 | Spark 3.0, Spark 3.1, Spark 3.2, Spark 3.3 | | 4.1.2 | Spark 3.0, Spark 3.1, Spark 3.2, Spark 3.3 | | 4.1.1 | Spark 3.0, Spark 3.1, Spark 3.2, Spark 3.3 | | 4.1.0 | Spark 3.0, Spark 3.1, Spark 3.2 | | 4.0.x | Spark 3.0, Spark 3.1, Spark 3.2 | | 3.2.1+ | Spark 3.0, Spark 3.1, Spark 3.2 | | 3.2.0 | Spark 3.0, Spark 3.1 | | 3.1.3 | Spark 3.0, Spark 3.1 | | 3.1.0 - 3.1.2 | Spark 3.0 | > **📝 Note**: SingleStore recommends using the latest version of the connector compatible with the corresponding Spark version.The SingleStore Spark Connector versions 2.0 and 3.0 are no longer supported. The connector follows the `x.x.x-spark-y.y.y` naming convention, where `x.x.x` represents the connector version and `y.y.y` represents the corresponding Spark version. For example, in connector `3.0.0-spark-3.2.0`, 3.0.0 is the version of the connector, compiled and tested against Spark version 3.2.0. It is critical to select the connector version that corresponds to the Spark version in use. ## Release Highlights ## Version 5.0.0 * Removed the default server collation configuration. * Fixed parallel reads from leaf nodes for SingleStore versions 9.0 and later. ## Version 4.2.2 * Restored proper connection closure logic. ## Version 4.2.1 * Fixed a bug related to Databricks compatibility. ## Version 4.2.0 * Added support for Spark 4.0.0. * Updated Scala version to 2.13 for Spark 4.0.0. ## Version 4.1.8 * Changed retry during reading from result table to use exponential backoff. * Used `ForkJoinPool` instead of `FixedThreadPool`. * Added more logging. ## Version 4.1.7 * Fixed a bug that caused reading from the wrong result table when the task was restarted. ## Version 4.1.6 * Changed `LoadDataWriter` to send data in batches. * Added `numPartitions` parameter to specify the exact number of resulting partitions during parallel read. ## Version 4.1.5 * Added support for Spark 3.5 for connector version 4.1.5. * Updated dependencies. ## Version 4.1.4 * Added support for Spark 3.4 for connector version 4.1.4. * Added support for additional connection attributes. * Fixed conflicts in result table names during parallel read. ## Version 4.1.3 * Improved error handling when using the `onDuplicateKeySQL` option. ## Version 4.1.2 * Fixed an issue where retrying parallel reads caused a `Table has reached its quota of 1 reader(s)` error. ## Version 4.1.1 * Added support for Spark 3.3 for connector version 4.1.1. * Fixed an issue with error handling that caused deadlocks. ## Version 4.1.0 * Added support for JWT-based authentication. * Added support for connection pooling. * Added multi-partition support to parallel read feature. * Added support for more SQL expressions in pushdown. ## Version 4.0.0 * The connector uses the SingleStore JDBC driver instead of the MariaDB JDBC driver. ## Version 3.2 * Added support for parallel reads from aggregator nodes. * Added support for repartition results by columns in parallel read from aggregators. ## Version 3.1 * The connector uses the MariaDB JDBC driver and rebranded the connector from `memsql-spark-connector` to `singlestore-spark-connector`. * Adapts the rebranding from `memsql` to `singlestore`. For example, the configuration prefix is changed from `spark.datasource.memsql.` to `spark.datasource.singlestore.`. ## Related Topics * [The SingleStore JDBC Driver](https://docs.singlestore.com/db/v9.1/developer-resources/connect-with-application-development-tools/connect-with-java-jdbc/the-singlestore-jdbc-driver.md) *** Modified at: April 15, 2026 Source: [/db/v9.1/load-data/integrate-with-singlestore/load-data-from-spark/getting-started/](https://docs.singlestore.com/db/v9.1/load-data/integrate-with-singlestore/load-data-from-spark/getting-started/) (An index of the documentation is available at /llms.txt)