[SPARK-2447] Add common solution for sending upsert actions to HBase (put, deletes, and increment)

• Type: New Feature
• Status: Closed
• Priority: Major
• Resolution: Won't Fix
• Component/s: DStreams, Spark Core
• Assignee: Theodore michael Malaska
• Reporter: Theodore michael Malaska
• Created: 11/Jul/14 11:00
• Updated: 30/Jun/15 20:59
• Resolved: 30/Jun/15 20:59

Description

Going to review the design with Tdas today.

But first thoughts is to have an extension of VoidFunction that handles the connection to HBase and allows for options such as turning auto flush off for higher through put.

Need to answer the following questions first.

• Can it be written in Java or should it be written in Scala?
• What is the best way to add the HBase dependency? (will review how Flume does this as the first option)
• What is the best way to do testing? (will review how Flume does this as the first option)
• How to support python? (python may be a different Jira it is unknown at this time)

Goals:

• Simple to use
• Stable
• Supports high load
• Documented (May be in a separate Jira need to ask Tdas)
• Supports Java, Scala, and hopefully Python
• Supports Streaming and normal Spark

Issue Links

• duplicates: SPARK-1127 Add saveAsHBase to PairRDDFunctions
• is depended upon by: SPARK-944 Give example of writing to HBase from Spark Streaming
• relates to: HBASE-11482 Optimize HBase TableInput/OutputFormats for exposing tables and snapshots as Spark RDDs
• relates to: HBASE-13992 Integrate SparkOnHBase into HBase