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private def
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@viirya It will be great we can fix it magically. I'm worried that the
current approach will introduce some performance regressions.
As we always have a way to
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--- Diff: python/pyspark/__init__.py ---
@@ -36,6 +36,31 @@
Finer-grained cache persistence levels.
"""
+import os
+import sys
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--- Diff: python/pyspark/sql/types.py ---
@@ -1189,6 +1189,16 @@ class Row(tuple):
>>> Person("Alice", 11)
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--- Diff: python/pyspark/__init__.py ---
@@ -36,6 +36,31 @@
Finer-grained cache persistence levels.
"""
+import os
+import sys
Github user tgravescs commented on the pull request:
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sorry typo, running scalastyle manually and will post updated patch shortly.
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--- Diff:
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@@ -0,0 +1,41 @@
+/*
+ * Licensed to the Apache
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[SPARK-8654][SQL] Fix Analysis exception when using NULL IN (...)
In the analysis phase , while processing the rules for IN predicate, we
compare the in-list types to the lhs expression type
Github user piggybox commented on the pull request:
https://github.com/apache/spark/pull/8899#issuecomment-145629205
This is indeed confusing. I once used sqlContext.read.json() to read a path
to a folder of JSON files and that worked, so I then tried the parent folder to
read
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--- Diff: python/pyspark/sql/types.py ---
@@ -1209,6 +1219,12 @@ def __new__(self, *args, **kwargs):
else:
raise ValueError("No
Github user vanzin commented on the pull request:
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LGTM pending tests and a minor cleanup.
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Hi @AndriiOmelianenko, I have a PR out to fix that here
https://github.com/apache/spark/pull/8872
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@cloud-fan @bdolbeare @davies I'm certainly open to doing this in an oracle
specific way if that is what is required. I was simply hoping to solve my
problem while
Github user davies commented on a diff in the pull request:
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--- Diff: python/pyspark/pyspark_version.py ---
@@ -0,0 +1,17 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+#
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--- Diff: python/setup.py ---
@@ -0,0 +1,18 @@
+#!/usr/bin/env python
+
+from setuptools import setup
+
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@@ -140,6 +140,27 @@ class StreamingListenerSuite extends
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
---
@@ -135,4 +135,11 @@ class AnalysisSuite extends
Github user marmbrus commented on the pull request:
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"daily sql query" is not sufficiently descriptive. Please post actual
benchmark results with code when making pull requests that claim to improve
performance. It
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--- Diff:
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@@ -1248,4 +1248,12 @@ class SQLQuerySuite extends QueryTest
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--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala ---
@@ -563,6 +580,77 @@
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--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala ---
@@ -563,6 +580,77 @@
Github user rxin commented on a diff in the pull request:
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--- Diff: project/MimaExcludes.scala ---
@@ -42,7 +42,9 @@ object MimaExcludes {
excludePackage("org.spark-project.jetty"),
Github user shivaram commented on the pull request:
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Ah I see - didn't know it was failing Jenkins as well.
Code changes from rxin/spark-utils LGTM.
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Github user tdas commented on the pull request:
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This looks cool! Also I like that you used "details" for that. In the case
of "Failed", unless the details is opened, there is not indication of failure.
So it might be
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--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/dstream/TransformedDStream.scala
---
@@ -38,6 +39,11 @@ class TransformedDStream[U: ClassTag] (
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--- Diff:
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---
@@ -305,12 +305,17 @@ object HiveTypeCoercion {
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Github user tdas commented on the pull request:
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@jhu-chang Could you fix the style issue and one minor issue that I pointed
out.
Style issues:
```
[error]
Github user asfgit closed the pull request at:
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Github user NarineK commented on the pull request:
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@sun-rui Thanks!
Done the changes, please check it out.
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GitHub user adrian555 opened a pull request:
https://github.com/apache/spark/pull/8985
[SPARK-10913][SPARKR] attach() function support
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GitHub user keypointt opened a pull request:
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[SPARK-10669] [Docs] Link to each language's API in codetabs in ML docs:
spark.mllib
In the Markdown docs for the spark.mllib Programming Guide, we have code
examples with codetabs for each
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GitHub user viirya opened a pull request:
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[SPARK-10856][SQL] Mapping TimestampType to DATETIME for SQL Server jdbc
dialect
JIRA: https://issues.apache.org/jira/browse/SPARK-10856
For Microsoft SQL Server, TimestampType should be
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Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/8920#discussion_r41112866
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1304,24 +1306,62 @@ setClassUnion("characterOrColumn", c("character",
"Column"))
#' path <- "path/to/file.json"
Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/8920#discussion_r41112848
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1304,24 +1306,62 @@ setClassUnion("characterOrColumn", c("character",
"Column"))
#' path <- "path/to/file.json"
Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/8920#discussion_r41112869
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1304,24 +1306,62 @@ setClassUnion("characterOrColumn", c("character",
"Column"))
#' path <- "path/to/file.json"
Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/8920#discussion_r41112888
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1304,24 +1306,62 @@ setClassUnion("characterOrColumn", c("character",
"Column"))
#' path <- "path/to/file.json"
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