[GitHub] [spark] gengliangwang opened a new pull request #24401: [SPARK-27504][SQL] File source V2: support refreshing metadata cache

[GitBox <gi...@apache.org>]

gengliangwang opened a new pull request #24401: [SPARK-27504][SQL] File source V2: support refreshing metadata cache
URL: https://github.com/apache/spark/pull/24401
 
 
   ## What changes were proposed in this pull request?
   
   In file source V1, if some file is deleted manually, reading the DataFrame/Table will throws an exception with suggestion message 
   ```
   It is possible the underlying files have been updated. You can explicitly invalidate the cache in Spark by running 'REFRESH TABLE tableName' command in SQL or by recreating the Dataset/DataFrame involved.
   ```
   After refreshing the table/DataFrame, the reads should return correct results.
   
   We should follow it in file source V2 as well.
   ## How was this patch tested?
   Unit test
   

----------------------------------------------------------------
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