Github user liancheng commented on the pull request:
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Removed the `withSQLConf` trick in test suites like `ParquetQuerySuite`. A
simplified version of the problem can be shown as:
```scala
withSQLConf(SQLConf.P
Github user liancheng commented on the pull request:
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Many thanks to @yhuai, who helped getting rid of a bug in those Parquet
test suites which disable Parquet data source and fall back to the old
implementation!
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[SPARK-5831][Streaming]When checkpoint file size is bigger than 10, then
delete the old ones
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[SPARK-5830][Core]Don't create unnecessary directory for local root dir
Now will create an unnecessary directory for local root directory, and this
directory will not be deleted after applicat
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Github user voukka commented on the pull request:
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@shivaram that's good point to store selected address type.
@srowen I think it requires a bit more testing. Hopefully I'll get some
time for that today
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Github user chenghao-intel commented on the pull request:
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@kai-zeng The code LGTM, and I've tested the `Add` in an aggregation
benchmark, it shows about 20% performance improved. So can you rebase the code?
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[SQL] [Minor] Update the SpecificMutableRow.copy
When profiling the Join / Aggregate queries, I noticed lots of
`MutableValue` objects created via VisualVM, as the `SpecificMutableRow` are
m
Github user yhuai commented on the pull request:
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@dondrake I just noticed it is for branch 1.2. Do we have a patch for the
master?
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Github user lianhuiwang commented on the pull request:
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@justinuang i think you are interesting in SPARK-5763.
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Github user florianverhein commented on the pull request:
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Cool, thanks @shivaram. I've been using it to deploy rpms and jars :)
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test this please
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Merged into master and branch-1.3. Thanks!
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/GroupedData.scala ---
@@ -39,13 +39,14 @@ class GroupedData protected[sql](df: DataFrameImpl,
groupingExpr
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groupingExpr
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/GroupedData.scala ---
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groupingExpr
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LGTM. Merged into master and branch-1.3. Thanks!
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Merged into master and branch-1.3.
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Thanks @florianverhein -- Code change looks good to me -- I'd like to test
this out on a cluster launch to verify it though. Will try to get to it
tomorrow.
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[SPARK-4865][SQL]Include temporary tables in SHOW TABLES
This PR adds a `ShowTablesCommand` to support `SHOW TABLES [IN
databaseName]` SQL command. The result of `SHOW TABLE` has two columns,
`tableN
Github user dondrake commented on the pull request:
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So, in
./sql/core/src/main/scala/org/apache/spark/sql/execution/pythonUdfs.scala
In EvaluatePython.toJava() I added the following:
```
case (_, LongT
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Thank you @srowen for the explanation, I've updated the scripts, can you
review it again?
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--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/parquet/ParquetQuerySuite.scala ---
@@ -37,20 +37,22 @@ class ParquetQuerySuite extends QueryTest with
P
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working on this now
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--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala ---
@@ -66,14 +66,17 @@ class HiveContext(sc: SparkContext) extends
SQLContext(sc
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[SPARK-5746][SQL] Check invalid cases for the write path of data source API
JIRA: https://issues.apache.org/jira/browse/SPARK-5746
@liancheng @marmbrus
You can merge this pull request into a
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--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/dstream/FileInputDStream.scala
---
@@ -74,10 +74,12 @@ class FileInputDStream[K, V, F <: NewInpu
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I've updated this based on the review feedback; see the individual commits
for a summary of the changes.
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--- Diff:
core/src/main/scala/org/apache/spark/api/python/PythonGatewayServer.scala ---
@@ -0,0 +1,59 @@
+/*
+ * Licensed to the Apache Software Fou
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--- Diff:
examples/src/main/scala/org/apache/spark/examples/pythonconverters/HBaseConverters.scala
---
@@ -18,20 +18,34 @@
package org.apache.spark.exam
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LGTMï¼ thanksï¼
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Just increase it depending on the environment. Of course the user should
exercise discretion - if the retry count needs to be very high there's likely
something very wron
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retest this please
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lgtm
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4564#issuecomment-74428482
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/4595#issuecomment-74428050
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4595#issuecomment-74428046
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/4571#issuecomment-74427338
Overall, looks good to me. I do like the idea of failing here, since
otherwise it can be very confusing to people why their settings are not being
picked up. To avoid su
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4571#issuecomment-74427279
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Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/4563#issuecomment-74427223
@yhuai @marmbrus All comments have been addressed, have to squash all
commits to ease rebasing. Should be good to go.
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/3917#issuecomment-74427089
@pwendell To be clear this didn't end up being anything to do with
IntelliJ. It's a question of whether building vs Hadoop 1.0.4 or Hadoop 2.x by
default is better. I thin
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4614#issuecomment-74427056
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/4571#issuecomment-74427064
Jenkins, retest this please. (sorry @ryan-williams we're trying to get
tests in better shape).
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/4573#issuecomment-74427023
Thanks @ryan-williams - this is a useful feature.
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/3917#issuecomment-74426982
yeah - sorry to be a wet blanket. Basically my feeling is that we shouldn't
optimize for our own convenience as developers in turn for making life more
difficult (in a r
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4514#issuecomment-74426607
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/4614#issuecomment-74426536
If that's the direction we are going to take, let's mention the route `run
-> runSVDPlusPlus (1.3) -> run (1.4)` in the deprecation message and the doc,
and then mark `run
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