Github user carsonwang commented on the issue:
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Thanks @cloud-fan . `driver accumulators don't belong to this execution` is
more appropriate. I'll update the words.
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Github user davies commented on the issue:
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lgtm
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--- Diff: python/pyspark/sql/readwriter.py ---
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GitHub user cloud-fan opened a pull request:
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[SPARK-19706][pyspark] add Column.contains in pyspark
## What changes were proposed in this pull request?
to be consistent with the scala API, we should also add `contains` to
`Column`
Github user cloud-fan commented on the issue:
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cc @davies
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Can one of the admins verify this patch?
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Github user maropu commented on a diff in the pull request:
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GitHub user tanejagagan opened a pull request:
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[SPARK-19705][SQL] Preferred location supporting HDFS cache for FileSâ¦
â¦canRDD
Added support of HDFS cache using TaskLocation.inMemoryLocationTag
NewHadoopRDD and HadoopRDD
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The change looks reasonable
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@HyukjinKwon @hvanhovell How about the latest fix?
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--- Diff:
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+/*
+ * Licensed to
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cc @vanzin
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--- Diff: python/test_support/sql/ages_newlines.csv ---
@@ -0,0 +1,6 @@
+Joe,20,"Hi,
+I am Jeo"
+Tom,30,"My name is Tom"
+Hyukjin,25,"I am
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--- Diff:
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@@ -233,3 +236,28 @@ private[csv] class
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
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@@ -339,10 +340,17 @@ private[hive] class HiveClientImpl(
Github user zero323 commented on the issue:
https://github.com/apache/spark/pull/16534
To a very limited extent. It can bring some useful information in IPython
/ Jupyter (maybe some other tools as well) but won't work with built-in `help`
/ `pydoc.help`.
You can compare:
GitHub user zhengruifeng opened a pull request:
https://github.com/apache/spark/pull/17034
[SPARK-19704][ML] AFTSurvivalRegression should support numeric censorCol
## What changes were proposed in this pull request?
make `AFTSurvivalRegression` support numeric censorCol
##
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/16594
LGTM except one comment
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Github user actuaryzhang commented on a diff in the pull request:
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -1776,6 +1780,10 @@ setMethod("[[", signature(x = "SparkDataFrame", i =
"numericOrcharacter"),
#' @note [[<-
Github user maropu commented on a diff in the pull request:
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Github user maropu commented on a diff in the pull request:
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Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r102647844
--- Diff: mllib/src/test/scala/org/apache/spark/ml/fpm/FPGrowthSuite.scala
---
@@ -0,0 +1,130 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4 ---
@@ -794,6 +795,7 @@ EXPLAIN: 'EXPLAIN';
FORMAT: 'FORMAT';
Github user cloud-fan commented on the issue:
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@tejasapatil Spark doesn't need to be exactly same with Hive, we follow
hive behavior if it's reasonable, or use our own logic if hive's behavior
doesn't make sense.
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Github user cloud-fan commented on a diff in the pull request:
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Github user zjffdu commented on the issue:
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@holdenk description is updated.
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
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Github user tejasapatil commented on the issue:
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I looked into the code. Looks like that version is merely for picking the
hive shim and metastore interactions and got nothing to do with semantics of
SQL operations. So you are most likely
Github user MLnick commented on the issue:
https://github.com/apache/spark/pull/16971
Yes my point was returning null is not very idiomatic in Scala. Better to
return Option or empty collection. Option doesn't work for Java compat, so
empty Array is best in this case I believe.
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/16928#discussion_r102646058
--- Diff:
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@@ -190,8 +208,9 @@ private[csv] class
Github user hhbyyh commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -0,0 +1,341 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff:
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@@ -45,24 +45,41 @@ private[csv] class
Github user zhengruifeng commented on the issue:
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@thunterdb Good point. I will check the `sampled` in `def query`.
@MLnick @gatorsmile I perfer empty array as the result for empty dataset or
columns that only contains na.
And,
Github user windpiger commented on the issue:
https://github.com/apache/spark/pull/16938
@tejasapatil In my opinion, test in Hive 2.0.0 just make a compare with
Spark, the target is to determine these actions in Spark, not to make consist
with Hive 2.0.0 or Hive 1.2.1, isn't it?
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff:
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@@ -45,24 +45,41 @@ private[csv] class
Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
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@@ -45,24 +45,41 @@ private[csv] class
Github user tejasapatil commented on the issue:
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@windpiger : I realised that you are checking the hive behavior against
Hive 2.0.0. Spark is expected to support semantics for Hive 1.2.1 :
Github user kevinyu98 commented on the issue:
https://github.com/apache/spark/pull/16841
@gatorsmile sure, I will do that. Thanks.
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Github user uncleGen commented on the issue:
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cc @srowen
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--- Diff:
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Github user maropu commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -367,10 +368,18 @@ def csv(self, path, schema=None, sep=None,
encoding=None, quote=None, escape=Non
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/16841
To make the results consistent between big endian and small endian, we can
improve the queries with the extra order by clauses.
@robbinspg Which queries failed? @kevinyu98 Can you
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/16928#discussion_r102643746
--- Diff: python/pyspark/sql/readwriter.py ---
@@ -367,10 +368,18 @@ def csv(self, path, schema=None, sep=None,
encoding=None, quote=None, escape=Non
Github user kevinyu98 commented on the issue:
https://github.com/apache/spark/pull/16841
Hello Pete: Thanks for running the test case. Can you send the failing test
case file to me? Also I can provide new test files with the output files, can
you help test on your platforms? thanks.
Github user lw-lin closed the pull request at:
https://github.com/apache/spark/pull/16987
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Github user lw-lin commented on the issue:
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Using deterministic file names sounds great. Thanks! I'm closing this.
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thanks, merging to master!
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https://github.com/apache/spark/pull/17033
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GitHub user uncleGen opened a pull request:
https://github.com/apache/spark/pull/17033
[DOCS] application environment rest api
## What changes were proposed in this pull request?
application environment rest api
## How was this patch tested?
jenkins
You
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/16938
Thank you for your work!
Maybe the last question.
```
**2. CREATE TABLE ...PARTITIONED BY ... LOCATION path AS SELECT ...**
a) path exists
hive(external) ->
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/16923
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/17001
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/16826
Merged build finished. Test FAILed.
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/16826
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/16826
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/13599
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