Uploaded image for project: 'Spark'
  1. Spark
  2. SPARK-29189

Add an option to ignore block locations when listing file

    XMLWordPrintableJSON

    Details

    • Type: Improvement
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 3.0.0
    • Fix Version/s: 3.0.0
    • Component/s: SQL
    • Labels:
      None

      Description

      In our PROD env, we have a pure Spark cluster, I think this is also pretty common, where computation is separated from storage layer. In such deploy mode, data locality is never reachable.
      And there are some configurations in Spark scheduler to reduce waiting time for data locality(e.g. "spark.locality.wait"). While, problem is that, in listing file phase, the location informations of all the files, with all the blocks inside each file, are all fetched from the distributed file system. Actually, in a PROD environment, a table can be so huge that even fetching all these location informations need take tens of seconds.
      To improve such scenario, Spark need provide an option, where data locality can be totally ignored, all we need in the listing file phase are the files locations, without any block location informations.

       

      And we made a benchmark in our PROD env, after ignore the block locations, we got a pretty huge improvement.

      Table Size Total File Number Total Block Number List File Duration(With Block Location) List File Duration(Without Block Location)
      22.6T 30000 120000 16.841s 1.730s
      28.8 T 42001 148964 10.099s 2.858s
      3.4 T 20000  20000 5.833s 4.881s

       

        Attachments

          Activity

            People

            • Assignee:
              gwang3 Wang, Gang
              Reporter:
              gwang3 Wang, Gang
            • Votes:
              0 Vote for this issue
              Watchers:
              3 Start watching this issue

              Dates

              • Created:
                Updated:
                Resolved: