GitHub user BryanCutler opened a pull request:
https://github.com/apache/spark/pull/21546
[WIP][SPARK-23030][SQL][PYTHON] Use Arrow stream format for creating from
and collecting Pandas DataFrames
## What changes were proposed in this pull request?
This changes the calls
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--- Diff: dev/.rat-excludes ---
@@ -106,3 +106,4 @@ spark-warehouse
structured-streaming/*
kafka-source-initial-offset-version-2.1.0.bin
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Github user skonto commented on the issue:
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@vanzin @cloud-fan. Going back to the facts. The fix/work-around in
Cloudera's distro obviously exists because the distro integrates with Sentry
anyway. Removing the location did fix the Spark Job
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GitHub user jiangxb1987 opened a pull request:
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[SPARK-23010][BUILD] Fix java checkstyle failure of
kubernetes-integration-tests
## What changes were proposed in this pull request?
Fix java checkstyle failure of
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@@ -679,6 +679,17 @@ class PlannerSuite extends SharedSQLContext
GitHub user yuj opened a pull request:
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add one supported type missing from the javadoc
## What changes were proposed in this pull request?
The supported java.math.BigInteger type is not mentioned in the javadoc of
Encoders.bean()
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> I think we need to support both. testing different physical operators
needs same result, testing something like type coercion mode needs different
result. Anyway let's discuss it in the
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[SPARK-24531][TESTS] Replace 2.3.0 version with 2.3.1
## What changes were proposed in this pull request?
The PR updates the 2.3 version tested to the new release 2.3.1.
## How
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thanks, merging to master!
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Latest change removes the dependency on rxjava.
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--- Diff: pom.xml ---
@@ -760,6 +760,12 @@
1.10.19
test
+
--- End diff --
I ended up just
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Github user squito commented on the issue:
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I'm totally onboard with exposing it, though I'd say undocumented unless we
have some concrete advice on how to set it. I was just explaining my
experience so far and why I haven't bothered with
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merged to master. Thanks @redsanket !
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@@ -2792,4 +2793,40 @@ class SQLQuerySuite extends QueryTest with
Github user cloud-fan commented on the issue:
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In theory, this should be done in a cost-based style. Changing the way how
union combines data will reduce the parallelism.
For example, if we union 2 tables each has 5 partitions.
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--- Diff:
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@@ -111,6 +113,22 @@ object DateTimeUtils {
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@@ -0,0 +1,53 @@
+/*
+ * Licensed to the Apache
Github user skonto commented on the issue:
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@krcz which one? Btw both job run successfully although might not have been
escaped properly.
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@mgaido91 Could you help improve the test coverage of joins
`org.apache.spark.sql.JoinSuite`? Due to the incomplete test case coverage, we
did not discover this at the very beginning. We need
Github user markhamstra commented on the issue:
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> we can definitely update the description with more details.
Eventually, some of the motivation and advice/suggestions need to get into
the main user docs, as well.
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SGTM.
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test this please
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we can definitely update the description with more details.
Personally I'm not fond of any hardcoded magic number like this that you
could override with at least a internal config
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https://github.com/apache/spark/pull/21537#discussion_r194841055
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala
---
@@ -579,6 +579,22 @@ class
Github user mccheah commented on a diff in the pull request:
https://github.com/apache/spark/pull/21366#discussion_r194840955
--- Diff: pom.xml ---
@@ -760,6 +760,12 @@
1.10.19
test
+
--- End diff --
These types are not
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