holdenk commented on pull request #31299:
URL: https://github.com/apache/spark/pull/31299#issuecomment-765725578
So previously docker buildx automatically did the push without the push
flag, but that's no longer the case, so yeah the current code doesn't work if
you need to push it
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URL: https://github.com/apache/spark/pull/31301
### What changes were proposed in this pull request?
### Why are the changes needed?
### Does this PR introduce _any_ user-facing change?
###
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LuciferYang commented on a change in pull request #31294:
URL: https://github.com/apache/spark/pull/31294#discussion_r563004221
##
File path:
sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveExternalCatalogVersionsSuite.scala
##
@@ -237,17 +237,20 @@ class
xuanyuanking commented on a change in pull request #31271:
URL: https://github.com/apache/spark/pull/31271#discussion_r563006334
##
File path: project/SparkBuild.scala
##
@@ -910,7 +910,7 @@ object Unidoc {
dongjoon-hyun commented on a change in pull request #31271:
URL: https://github.com/apache/spark/pull/31271#discussion_r563008430
##
File path: core/src/main/scala/org/apache/spark/storage/FallbackStorage.scala
##
@@ -90,7 +90,7 @@ private[storage] class FallbackStorage(conf:
wangyum opened a new pull request #31303:
URL: https://github.com/apache/spark/pull/31303
### What changes were proposed in this pull request?
This pr add a new Github action to benchmark TPC-DS with 1GB scale factor.
### Why are the changes needed?
1. To track
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rxin commented on pull request #31296:
URL: https://github.com/apache/spark/pull/31296#issuecomment-765877931
> > Yes the question is also applied to RDD.pipe as well, but the
serialization is done via `OutputStreamWriter.println` which is relatively
"known" - `String.valueOf(T)` and
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yliou edited a comment on pull request #30788:
URL: https://github.com/apache/spark/pull/30788#issuecomment-765800322
Sure, I'll add a `assert` to `FixedLengthRowBasedKeyValueBatch#appendRow` in
the follow-up PR. I also used your PR description suggestion at the top
@attilapiros .
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viirya commented on a change in pull request #31296:
URL: https://github.com/apache/spark/pull/31296#discussion_r563011361
##
File path: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
##
@@ -2889,6 +2889,24 @@ class Dataset[T] private[sql](
rxin commented on pull request #31296:
URL: https://github.com/apache/spark/pull/31296#issuecomment-765875318
Agree with @HeartSaVioR here. I think it is more general if we just provide
a UDF for this... it also doesn’t pollute the Dataset API with something so
rarely used.
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viirya edited a comment on pull request #31296:
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> It is an issue because encoder only specifies how an object would map to
the internal physical structure of the row, and by exposing this pipe API, we
are exposing the
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dongjoon-hyun commented on a change in pull request #31271:
URL: https://github.com/apache/spark/pull/31271#discussion_r563008575
##
File path:
sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClientImpl.scala
##
@@ -1268,7 +1268,7 @@ private[hive] object
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Can one of the admins verify this patch?
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viirya commented on pull request #31296:
URL: https://github.com/apache/spark/pull/31296#issuecomment-765879991
> Please just create an executable which prints out stdin (serialized data)
and passes to the pipe API... I think it's the easiest way to realize.
Ok, ok. I didn't like
viirya edited a comment on pull request #31296:
URL: https://github.com/apache/spark/pull/31296#issuecomment-765879991
> Please just create an executable which prints out stdin (serialized data)
and passes to the pipe API... I think it's the easiest way to realize.
Ok, ok. I didn't
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gatorsmile commented on a change in pull request #26804:
URL: https://github.com/apache/spark/pull/26804#discussion_r562959779
##
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala
##
@@ -127,6 +127,9 @@ class
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URL: https://github.com/apache/spark/pull/31249#discussion_r562990433
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xuanyuanking commented on a change in pull request #31296:
URL: https://github.com/apache/spark/pull/31296#discussion_r563011061
##
File path: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
##
@@ -2889,6 +2889,24 @@ class Dataset[T] private[sql](
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viirya commented on pull request #31296:
URL: https://github.com/apache/spark/pull/31296#issuecomment-765875951
> Agree with @HeartSaVioR here. I think it is more general if we just
provide a UDF for this... it also doesn’t pollute the Dataset API with
something so rarely used.
I'm
rxin commented on pull request #31296:
URL: https://github.com/apache/spark/pull/31296#issuecomment-765879297
> > It is an issue because encoder only specifies how an object would map to
the internal physical structure of the row, and by exposing this pipe API, we
are exposing the
HeartSaVioR edited a comment on pull request #31296:
URL: https://github.com/apache/spark/pull/31296#issuecomment-765879370
Please just create an executable which prints out stdin (serialized data)
and passes to the pipe API... I think it's the easiest way to realize it.
HeartSaVioR commented on pull request #31296:
URL: https://github.com/apache/spark/pull/31296#issuecomment-765879370
Please just create an executable which prints out stdin and passes to the
pipe API... I think it's the easiest way to realize it.
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razajafri commented on pull request #31284:
URL: https://github.com/apache/spark/pull/31284#issuecomment-765743754
> I'm a bit confused by your description, it would be nice to add more
detail. looking at the code I think what you are saying is that you read it as
a long from the parquet
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