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Hi, do I need to do something else in order for this PR to be merged ?
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@rxin While I did not perf microbench for megamorphic (up to 3
`ByteArrayMemoryBlock`, `OnHeapMemoryBlock`, and `OffHeapMemoryBlock`)
callsites, we confirmed that there is no performance regression in
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OK thanks please do that. Does TPC-DS even trigger 2 call sites? E.g.
ByteArrayMemoryBlock and OnHeapMemoryBlock. Even there it might introduce a
conditional branch after JIT that could lead to perf de
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@madanadit, thanks for following up with the PR and for your [design
doc](https://docs.google.com/document/d/15-mk7UnOYNTXoF6EKaVlelWYc9DTrTXrYoodwDuAwY4/edit#heading=h.8jlem461uvwv).
I had a few com
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Thank you for review, @cloud-fan and @gatorsmile .
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[SPARK-23340][SQL][BRANCH-2.3] Upgrade Apache ORC to 1.4.3
## What changes were proposed in this pull request?
This PR updates Apache ORC dependencies to 1.4.3 released on February
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Oops. I mistakenly click `close and comments` button.
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Looking at this again, I'm back to thinking this is the right fix. Based
on #14469, if the `Row` objects were made with named arguments, then the intent
is for elements to be looked up by field
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+#
+# Licensed to the A
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Github user BryanCutler commented on the issue:
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Let me restate what I think the intended behavior of Row is:
If a `Row` is made from kwargs, then the order of the fields can not be
relied upon and whenever accessing data, it must be d
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Thanks @foxish for your feedback. As a first time contributor to Spark, I
would like to limit the scope of the changes in this PR. Let me know when
you're ready to review again.
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Github user scottcarey commented on the issue:
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I tested this with the addition of some changes to ParquetOptions.scala,
but this alone does not allow for writing or reading zstd compressed parquet
files, because it is using reflection to acqu
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LGTM
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@scottcarey, Parquet will use the compressors if they are available. You
can add them from an external Jar and it will work. LZ4 should also work out of
the box because it is included in Hadoop 2.7.
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Github user BryanCutler commented on the issue:
https://github.com/apache/spark/pull/20280
> I think we should raise an error if __from_dict__ is set and the user
tries to index using a position or a slice.
I'd also like to follow up with another PR to address some of the usab
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Github user bersprockets commented on a diff in the pull request:
https://github.com/apache/spark/pull/21073#discussion_r182575704
--- Diff:
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@@ -115,6 +116,62 @@ case class MapValu
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Github user scottcarey commented on the issue:
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@rdblue
The problem with zstd is that it is only in Hadoop 3.0, and dropping _that_
jar in breaks things as it is a major release. Extracting out only the
ZStandardCodec from that and recom
Github user rdblue commented on a diff in the pull request:
https://github.com/apache/spark/pull/20988#discussion_r182579387
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/OptimizeMetadataOnlyQuery.scala
---
@@ -129,35 +151,41 @@ case class OptimizeMetadataOnlyQu
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