Uploaded image for project: 'Spark'
  1. Spark
  2. SPARK-31408 Build Spark’s own datetime pattern definition
  3. SPARK-31802

Format Java date-time types in Row.jsonValue directly

Attach filesAttach ScreenshotVotersWatch issueWatchersLinkCloneUpdate Comment AuthorReplace String in CommentUpdate Comment VisibilityDelete Comments
    XMLWordPrintableJSON

Details

    • Sub-task
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • 3.0.0, 3.1.0
    • 3.0.0
    • SQL
    • None

    Description

      Row.jsonValue has to convert incoming Java date/timestamps types to days/microseconds because DateFormatter/TimestampFormatter APIs didn't accept java.sql.Timestamp/java.util.Date and java.time.Instant/java.time.LocalDate before https://issues.apache.org/jira/browse/SPARK-31762. Internally, the formatters perform conversions to Java types again. This badly impacts on the performance. The ticket aims to add new APIs to DateFormatter and TimestampFormatter that should accept Java types.

      Attachments

        Issue Links

        Activity

          This comment will be Viewable by All Users Viewable by All Users
          Cancel

          People

            maxgekk Max Gekk
            maxgekk Max Gekk
            Votes:
            0 Vote for this issue
            Watchers:
            2 Start watching this issue

            Dates

              Created:
              Updated:
              Resolved:

              Slack

                Issue deployment