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GitHub user vinodkc opened a pull request:
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[SPARK-17920][SPARK-19580][SPARK-19878][SQL] Support writing to Hive table
which uses Avro schema url 'avro.schema.url'
## What changes were proposed in this pull request?
Support writing to
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Github user jaceklaskowski commented on a diff in the pull request:
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--- Diff:
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@@ -689,6 +689,11 @@ case class DescribeColumnCommand(
Github user holdenk commented on the issue:
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What happens when you run `check-license` locally? I agree it doesn't look
like any of these changes would impact the license headers.
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Github user holdenk commented on the issue:
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What do you think @HyukjinKwon ? I think this is probably a reasonable fix,
but we might break some peoples code who have been depending on the bug.
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--- Diff: python/pyspark/context.py ---
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Github user holdenk commented on the issue:
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So I think with the performance improvements coming into Python UDFs
considering annotating results as nullable or not could make sense (although I
imagine we'd need to do something differeent for
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err Jenkins test this please.
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Would you be ok with someone taking over this PR if your busy?
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--- Diff: python/pyspark/streaming/util.py ---
@@ -64,7 +64,11 @@ def call(self, milliseconds, jrdds):
t =
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Can we update this to master?
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[SPARK-22551][SQL][WIP] Prevent possible 64kb compile error for common
expression types
## What changes were proposed in this pull request?
For common expression types, such as
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@WeichenXu123 resolved merge conflicts. Can you initiate jenkins build?
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ping
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thanks, merging to master/2.2!
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@cloud-fan WDYT?
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[SPARK-22445][SQL][FOLLOW-UP] Respect children's needCopyResult in Sort,
HashAggregate, and BroadcastHashJoin
## What changes were proposed in this pull request?
I found #19656 causes some
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should this go to 2.2?
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@holdenk Find the reason. There is an empty file in the directory. :)
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[SPARK-22554][PYTHON] Add a config to control if PySpark should use daemon
or not
## What changes were proposed in this pull request?
This PR proposes to add a flag to control if
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This is also partly for running Python coverage without extra code change.
I know a hacky way to run this (see
https://github.com/apache/spark/pull/19630#issuecomment-345490662 and
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cc @ueshin, could you take a look please when you have some time?
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it seems okay without a close look. Let me take the close look if I can
take the look first soon.
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Github user kiszk commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/GenerateExec.scala ---
@@ -59,15 +61,23 @@ case class GenerateExec(
generator:
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Will take a final look tomorrow.
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--- Diff:
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@@ -476,6 +476,10 @@ class DenseMatrix @Since("2.0.0") (
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Actually, R has a flag for `useDaemon`:
https://github.com/apache/spark/blob/478fbc866fbfdb4439788583281863ecea14e8af/core/src/main/scala/org/apache/spark/api/r/RRunner.scala#L362
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Github user kiszk commented on the issue:
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Sure, it may have some overlaps with #18641. I will review this after
#18641 due to avoiding a conflict.
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I am okay with going ahead @holdenk if you think it's okay anyway.
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retest this please
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OK, mine was, with this diff:
```diff
---
a/core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala
+++
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t =
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--- Diff:
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