Constantin-Catalin Luca created HBASE-24541: -----------------------------------------------
Summary: Add support to run LoadIncrementalHFiles in a distributed manner Key: HBASE-24541 URL: https://issues.apache.org/jira/browse/HBASE-24541 Project: HBase Issue Type: Improvement Components: mapreduce, Performance Affects Versions: 1.4.0 Reporter: Constantin-Catalin Luca 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. -- This message was sent by Atlassian Jira (v8.3.4#803005)