Warning
MemSQL Streamliner will be deprecated in MemSQL 6.0. For current Streamliner users, we recommend migrating to MemSQL Pipelines instead. MemSQL Pipelines provides increased stability, improved ingest performance, and exactly-once semantics. For more information about Streamliner deprecation, see the 5.8 Release Notes. For more information about Pipelines, see the MemSQL Pipelines documentation.
The changelog for MemSQL Spark releases is listed here.
2015-12-16 Version 1.2.1 (LATEST)
- Python support for extractors and transformers
- More extensive SQL pushdown for DataFrame operations
- Use DataFrames as common interface between extractor, transformer, and loader
- Rewrite connectorLib internals to support SparkSQL relation provider API
- Remove RDD.saveToMemSQL
2015-11-19 Version 1.1.1
- Set JDBC login timeout to 10 seconds
2015-11-02 Version 1.1.0
- Available on Maven Central Repository
- More events for batches
- Deprecated the old Kafka extractor and replaced it with a new one that takes in a Zookeeper quorum address
- Added a new field to pipeline API responses indicating whether or not a pipeline is currently running
- Renamed projects: memsqlsparkinterface -> memsql-spark-interface, memsqletl -> memsql-etl, memsqlrdd -> memsql-connector.
- Robustness and bug fixes
2015-09-24 Version 1.0.0
- Initial release of MemSQL Streamliner. See Release_Notes for more information.
