dongjoon-hyun commented on issue #23964: [SPARK-26975][SQL] Support
nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#issuecomment-474669667
After https://github.com/apache/spark/pull/23964#issuecomment-473742988 ,
all comments are
dongjoon-hyun commented on issue #23964: [SPARK-26975][SQL] Support
nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#issuecomment-474188179
Hi, @viirya , @maropu , @dbtsai , @cloud-fan .
For the question about the other data
dongjoon-hyun commented on issue #23964: [SPARK-26975][SQL] Support
nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#issuecomment-473968250
Retest this please.
This is an
dongjoon-hyun commented on issue #23964: [SPARK-26975][SQL] Support
nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#issuecomment-473775151
The PR is updated as @maropu 's suggestion.
@cloud-fan , @dbtsai , @viirya . How do you think
dongjoon-hyun commented on issue #23964: [SPARK-26975][SQL] Support
nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#issuecomment-473681144
Retest this please.
This is an
dongjoon-hyun commented on issue #23964: [SPARK-26975][SQL] Support
nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#issuecomment-473401257
Hi, @cloud-fan , @gatorsmile , @rxin , @dbtsai , @maropu .
This PR will improve
dongjoon-hyun commented on issue #23964: [SPARK-26975][SQL] Support
nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#issuecomment-473152043
Do you have any other concerns, @maropu and @viirya ?
dongjoon-hyun commented on issue #23964: [SPARK-26975][SQL] Support
nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#issuecomment-473028388
Retest this please.
This is an
dongjoon-hyun commented on issue #23964: [SPARK-26975][SQL] Support
nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#issuecomment-473000623
Thank you so much for review, @viirya .
dongjoon-hyun commented on issue #23964: [SPARK-26975][SQL] Support
nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#issuecomment-472223490
Hi, @maropu , @viirya , @dbtsai . Could you review this PR please?
dongjoon-hyun commented on issue #23964: [SPARK-26975][SQL] Support
nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#issuecomment-471421451
This is waiting for #24049 . After #24049 is merged, this PR will be
simplified again.
dongjoon-hyun commented on issue #23964: [SPARK-26975][SQL] Support
nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#issuecomment-471414919
Retest this please.
This is an
dongjoon-hyun commented on issue #23964: [SPARK-26975][SQL] Support
nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#issuecomment-470600475
Thank you so much for review, @maropu . All comments are valid. I'll address
your comments today.
dongjoon-hyun commented on issue #23964: [SPARK-26975][SQL] Support
nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#issuecomment-470292679
Hi, @cloud-fan and @gatorsmile .
Could you give some directional advice on this?
dongjoon-hyun commented on issue #23964: [SPARK-26975][SQL] Support
nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#issuecomment-469824568
I'll resolve the conflict very soon. It's because I merged @viirya 's #23955
a few minutes ago.
dongjoon-hyun commented on issue #23964: [SPARK-26975][SQL] Support
nested-column pruning over limit/sample/repartition
URL: https://github.com/apache/spark/pull/23964#issuecomment-469474703
Hi, @cloud-fan , @gatorsmile , @dbtsai , @viirya , @maropu , @kiszk .
Could you review this
16 matches
Mail list logo