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@zsxwing and @cloud-fan
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Github user vanzin commented on the issue:
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That's a weird error... complaining about classes that really should exist.
retest this please
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GitHub user brkyvz opened a pull request:
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Backport SPARK-17599 and SPARK-17569 to Spark 2.0 branch
## What changes were proposed in this pull request?
This Backports PR #15153 and PR #15122 to Spark 2.0 branch for Structured
Github user zsxwing commented on the issue:
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Merging to master / 2.0
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Github user vanzin commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/util/JsonProtocol.scala ---
@@ -759,7 +761,15 @@ private[spark] object JsonProtocol {
return metrics
Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/10212#discussion_r80137728
--- Diff:
core/src/test/resources/HistoryServerExpectations/complete_stage_list_json_expectation.json
---
@@ -6,6 +6,7 @@
"numCompleteTasks" : 8,
Github user vanzin commented on a diff in the pull request:
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--- Diff: core/src/test/scala/org/apache/spark/util/JsonProtocolSuite.scala
---
@@ -1097,7 +1100,9 @@ private[spark] object JsonProtocolSuite extends
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
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---
@@ -134,7 +134,7 @@ case class CatalogTable(
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Github user jkbradley commented on the issue:
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@JoshRosen That is weird; MiMa passes for me locally, but I see that it
shouldn't. I added a MiMaException; this should not be a problem for users.
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Github user JoshRosen commented on the issue:
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Jenkins, retest this please.
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Github user JoshRosen commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/python/BatchEvalPythonExec.scala
---
@@ -17,18 +17,270 @@
package
Github user JoshRosen commented on a diff in the pull request:
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--- Diff:
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@@ -17,18 +17,270 @@
package
Github user gatorsmile commented on the issue:
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@dilipbiswal Based on your tests and the source codes, I think your fix
does not break anything.
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/python/RowQueue.scala ---
@@ -0,0 +1,278 @@
+/*
+* Licensed to the Apache
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Github user dilipbiswal commented on the issue:
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@gatorsmile Thanks.. didn't realize we wanted to find out the CTAS
behaviour. Here is the result..
When covertCTAS is set to true, we create a data source table with parquet
format.
Github user marmbrus commented on the issue:
https://github.com/apache/spark/pull/15197
Thanks for working on this, it does seem like it could be useful. I'm not
sure if this should go into Spark or into a separate package. It really
depends on how many people want this feature.
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Github user davies commented on the issue:
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LGTM
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Github user rxin commented on the issue:
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Jenkins, test this please.
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Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/15169
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Github user marmbrus commented on the issue:
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LGTM
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Github user gatorsmile commented on the issue:
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@dilipbiswal Are they data source tables?
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Github user JoshRosen commented on the issue:
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LGTM. I walked through the code in IntelliJ and have verified that the
added unit test fails without this change. It's weird that `s3a` would return a
non-absolute path when producing the
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/15179
Sorry, what's a UT here? user defined type?
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Github user marmbrus commented on the issue:
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Mostly looks good, I've also asked @tdas to take a look since he wrote this
initially.
A few more cases came to mind while while I was rephrasing your
documentation. Specifically,
-
Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/14803#discussion_r80120376
--- Diff: docs/structured-streaming-programming-guide.md ---
@@ -512,6 +512,10 @@ csvDF = spark \
These examples generate streaming DataFrames
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/cc @rxin @marmbrus
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GitHub user zsxwing opened a pull request:
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[SPARK-17638][Streaming]Stop JVM StreamingContext when the Python process
is dead
## What changes were proposed in this pull request?
When the Python process is dead, the JVM
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Github user hvanhovell commented on a diff in the pull request:
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--- Diff:
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@@ -0,0 +1,74 @@
+/*
+ *
Github user hvanhovell commented on a diff in the pull request:
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@@ -0,0 +1,74 @@
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+/*
+ *
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Github user hhbyyh commented on the issue:
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LGTM. How about adding an UT for the input type new ArrayType(StringType,
false)?
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--- Diff:
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@@ -0,0 +1,74 @@
+/*
Github user srinathshankar commented on a diff in the pull request:
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--- Diff:
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Github user asfgit closed the pull request at:
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Github user GregBowyer commented on the issue:
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Where do we stand on this, I just reapplied this patch to a spark 2.1-xxx
build to get the same behaviour.
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Github user rxin commented on the issue:
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I'm going to merge this in master/branch-2.0 because I need this to cut an
rc.
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Github user dilipbiswal commented on the issue:
https://github.com/apache/spark/pull/15190
@yhuai Hi Yin,
create table ... as select ... would respect the setting of
hive.default.fileformat.
``` SQL
scala> spark.sql("SET hive.default.fileformat=parquet")
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Github user vanzin commented on the issue:
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ok to test
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Github user JoshRosen closed the pull request at:
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Github user JoshRosen commented on the issue:
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I'm going to merge this into branch-1.6. Thanks!
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Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/15196#discussion_r80100267
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCRDD.scala
---
@@ -58,11 +58,11 @@ object JDBCRDD extends Logging {
Github user wzhfy commented on the issue:
https://github.com/apache/spark/pull/15090
@gatorsmile OK, I'll rebase and add some tests to handle negative cases.
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/AnalyzeColumnCommand.scala
---
@@ -0,0 +1,189 @@
+/*
+ * Licensed to the
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Github user shivaram commented on the issue:
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The only downside of this is that we won't be uploading our vignette to the
website. I think this is fine -- Any thoughts @junyangq @felixcheung
cc @rxin
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GitHub user shivaram opened a pull request:
https://github.com/apache/spark/pull/15200
Skip building R vignettes if Spark is not built
## What changes were proposed in this pull request?
When we build the docs separately we don't have the JAR files from the
Spark build in
Github user koeninger commented on the issue:
https://github.com/apache/spark/pull/15102
This is pretty much the fundamental issue. Kafka offsets alone aren't
capable of meeting the SQL Offset interface as defined. I think that means
the Offset interface needs to be
Github user srinathshankar commented on the issue:
https://github.com/apache/spark/pull/15186
Thanks for confirming, LGTM
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Github user JoshRosen commented on the issue:
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Yep, 1.6 has fewer BlockManager tests.
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Github user zsxwing commented on the issue:
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> PR with failing test indicating at least one reason why it's wrong from
an end-user perspective:
@koeninger Thanks for writing the test. Yes, we are aware of this issue.
However, it's
Github user BryanCutler commented on the issue:
https://github.com/apache/spark/pull/15113
Hi @yanboliang , thanks for taking a look!
I'm more inclined to think that most Python users would think that
`weightCol=None` does not cause a problem, as in this corresponding JIRA. Most
Github user vanzin commented on the issue:
https://github.com/apache/spark/pull/14959
LGTM. Let's see if others have any comments.
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LGTM. Merging to master.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/15174
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Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/15174#discussion_r80088798
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
---
@@ -342,6 +342,7 @@ trait CheckAnalysis extends
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/15174#discussion_r80088127
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/createDataSourceTables.scala
---
@@ -200,8 +200,9 @@ case class
Github user vanzin commented on the issue:
https://github.com/apache/spark/pull/10212
@jisookim0513 unfortunately there are conflicts once more.
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