Adi Suresh created SPARK-47717:
----------------------------------
Summary: Support Hive tables as a streaming source and sink
Key: SPARK-47717
URL: https://issues.apache.org/jira/browse/SPARK-47717
Project: Spark
Issue Type: New Feature
Components: SQL
Affects Versions: 3.5.1, 3.4.1, 3.3.2
Reporter: Adi Suresh
Fix For: 3.5.1, 3.4.1, 3.3.2
People have data stored in Hive tables. Currently these tables do not support
Spark streaming, so customers do not have a good way to natively stream this
data in Spark. The current solutions involve an intermediary to track which
data has been read and periodically execute batch jobs. This use case should be
supported by Spark's in-built streaming mechanism.
>From doing some research, Hive supports streaming
>[https://cwiki.apache.org/confluence/display/Hive/Streaming+Data+Ingest+V2]
>but Spark does not support streaming on tables in Hive format. I don't think
>it makes sense to start copying Hive server-side code into Spark, but we could
>copy the relevant logic and wrap it in the DataSourceV2 APIs to enable this
>feature. To not break backwards compatibility, we would probably want to gate
>this behind a new Spark property.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
