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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/11180#issuecomment-183616693
@amitdev just build the documentation. Do you see the code snippets
correctly in the page http://spark.apache.org/examples.html in your local
build? instead of the pygme
Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/10527#issuecomment-183616365
@cloud-fan Thanks so much for your code review! There is the update for the
doc and error cases review.:)
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Github user amitdev commented on the pull request:
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@srowen, it looks related - is there a waay to verify it? I couldn't locate
where the spark example code is. Things on the main documentation site is
working fine. Anyw
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/10527#discussion_r52824805
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -1931,6 +1931,40 @@ object functions extends LegacyFunctions {
new Mu
Github user davies commented on the pull request:
https://github.com/apache/spark/pull/11190#issuecomment-183615182
@rxin Compare to broadcast join, we do execution in prepare(), for
uncorrelated scalar subquery, we do optimize and execution in prepare(), I
think it's not a big deal.
Github user rxin commented on the pull request:
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So I think the biggest question is whether we should do all of these
planning for subqueries and execution in prepare(), or come up with some other
way to run subqueries.
Github user rxin commented on the pull request:
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I took a look quickly. Looks pretty good overall.
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Github user JoshRosen commented on the pull request:
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This patch ended up changing substantially, so I'd like @ScrapCodes to take
a quick look at it.
In a nutshell:
- I modified the `tools` project to re
Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/11189#discussion_r52824499
--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala ---
@@ -392,9 +399,11 @@ private[hive] class HiveQl(conf: ParserConf) extends
SparkQl(c
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--- Diff:
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@@ -35,16 +36,15 @@ abstract class Catalog {
// Database
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--- Diff:
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@@ -244,29 +247,41 @@ class InMemoryCatalog extends Catal
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Github user rxin commented on the pull request:
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BTW You might want to resolve this before it goes super stale.
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Github user vijaykiran closed the pull request at:
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Github user gatorsmile commented on the pull request:
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https://github.com/apache/spark/pull/11171 did a few changes in conversion
from logical plan to SQL. I believe this is the cause of build failure.
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
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@@ -2105,6 +2105,18 @@ class SQLQuerySuite extends QueryTest with
SharedSQLCon
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala ---
@@ -289,24 +301,20 @@ class Word2Vec extends Serializable with Logging {
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Jenkins, retest this please.
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Github user BimalTandel commented on the pull request:
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I cant reproduce this on the latest release. I did the current path for the
requirement to only display help if it is the only option provided.
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I've updated this patch to change `maxRows` into an `Option[Long]` and have
added a test to make sure that constant-folding works as expected.
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Github user ueshin commented on the pull request:
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I renamed `LazilyGenerateOrdering` to `LazilyGeneratedOrdering` and modify
`TakeOrderedAndProject` to use it.
And I found `TakeOrderedAndProjectNode` could use
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalPlan.scala
---
@@ -91,6 +91,14 @@ abstract class LogicalPlan exte
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--- Diff:
network/common/src/main/java/org/apache/spark/network/protocol/MessageWithHeader.java
---
@@ -99,6 +122,9 @@ public long transferTo(final Writab
Github user JoshRosen commented on a diff in the pull request:
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--- Diff:
network/common/src/test/java/org/apache/spark/network/server/OneForOneStreamManagerSuite.java
---
@@ -0,0 +1,50 @@
+/*
+ * Licensed to t
Github user JoshRosen commented on the pull request:
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/cc @zsxwing @nongli @rxin
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Whoops, accidentally hit open too soon. Let me fill in the description now.
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GitHub user JoshRosen opened a pull request:
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'SPARK-13308
You can merge this pull request into a Git repository by running:
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add-missing-release-calls-in-network-layer
Alternatively you c
Github user AmplabJenkins commented on the pull request:
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Can one of the admins verify this patch?
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GitHub user movelikeriver opened a pull request:
https://github.com/apache/spark/pull/11192
[SPARK-13257] [Improvement] Scala naive Bayes example: check model after
loading
Refine naive Bayes example by checking model after loading it.
This is Java version, to be consistent with
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--- Diff:
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---
@@ -91,6 +91,14 @@ abstract class LogicalPlan exte
Github user rxin commented on the pull request:
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cc @davies for review
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--- Diff:
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Github user cl4es commented on the pull request:
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While not a general rule, testing lexically that `version >= "1.8.0"` like
in `UtilsSuite` is actually OK for all current and all possible JEP-223
versions. I fixed `Spar
Github user asfgit closed the pull request at:
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LGTM. Merging in master.
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package org.apache.spark.sql.execution
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Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/11191#issuecomment-183549224
See my update to the bug. I don't think the bug exists anymore - and if it
does, your fix is probably not correct.
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Github user AmplabJenkins commented on the pull request:
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Github user AmplabJenkins commented on the pull request:
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Github user SparkQA commented on the pull request:
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Github user AmplabJenkins commented on the pull request:
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Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/11190#discussion_r52816744
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
---
@@ -2105,6 +2105,18 @@ class SQLQuerySuite extends QueryTest with
SharedSQLConte
Github user tdas commented on the pull request:
https://github.com/apache/spark/pull/11165#issuecomment-183539038
LGTM.
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Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/11140#issuecomment-183537578
@zsxwing I dont have a constructor to do object initialization for the
FilePhantomReferences class. I am guessing that could also be causing python
broadcast to
Github user AmplabJenkins commented on the pull request:
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