[HBASE-24541] Add support to run LoadIncrementalHFiles in a distributed manner

• Type: Improvement
• Status: Patch Available
• Priority: Minor
• Resolution: Unresolved
• Affects Version/s: 1.4.0
• Component/s: mapreduce, Performance
• Assignee: Constantin-Catalin Luca
• Reporter: Constantin-Catalin Luca
• Created: 11/Jun/20 14:04
• Updated: 09/Aug/22 07:56

Description

LoadIncrementalHFiles takes a very long time to complete when running HBase on top of S3 and attempting to bulkload 500K-700K files.

The root cause of this is a combination of the higher latency of S3 (as compared to HDFS) as well as the calls made by LoadIncrementalHFiles to the underlying filesystem(each file is opened, seeked to the trailer offset at the end, and then the trailer is read).

Increasing the parallelism does not yield any significant improvement. This seems to stem from the fact that once the trailer is read the stream is not consumed to the end. This causes the underlying HTTP connection to be aborted and it cannot be re-used.

 

The proposed solution would be to also add support to run LoadIncrementalHFiles on multiple machines as a map reduce job. 

Issue Links

• links to: GitHub Pull Request #2002