You are viewing a plain text version of this content. The canonical link for it is here.

Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/04/21 14:26:00 UTC

[GitHub] [spark] MaxGekk opened a new pull request #24429: [SPARK-27533][SQL] Date and timestamp CSV benchmarks

MaxGekk opened a new pull request #24429: [SPARK-27533][SQL] Date and timestamp CSV benchmarks
URL: https://github.com/apache/spark/pull/24429
 
 
   ## What changes were proposed in this pull request?
   
   Added new CSV benchmarks related to date and timestamps operations:
   - Write date/timestamp to CSV files
   - `to_csv()` and `from_csv()` for dates and timestamps
   - Read date/timestamps from CSV files, and infer schemas
   - Parse and infer schemas from `Dataset[String]`
   
   Also existing CSV benchmarks are ported on `NoOp` datasource.

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org