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GitHub user WeichenXu123 opened a pull request:
https://github.com/apache/spark/pull/15516
[SPARK-17961][SparkR][SQL] Add storageLevel to Dataset for SparkR
## What changes were proposed in this pull request?
Add storageLevel to Dataset for SparkR.
This is similar to thi
Github user squito commented on the issue:
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Jenkins, retest this please
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Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/11105#discussion_r83689480
--- Diff: core/src/main/scala/org/apache/spark/rdd/ShuffledRDD.scala ---
@@ -104,10 +105,26 @@ class ShuffledRDD[K: ClassTag, V: ClassTag, C:
ClassTag](
Github user squito commented on the issue:
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serializing will create buffers, but since these are only used for
deserializing, I don't think there should even be any buffers created. I guess
the time saved is all the registration which can be
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/11105#discussion_r83687095
--- Diff: core/src/main/scala/org/apache/spark/rdd/MapPartitionsRDD.scala
---
@@ -34,8 +35,29 @@ private[spark] class MapPartitionsRDD[U: ClassTag, T:
Class
Github user yhuai commented on the issue:
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Also cc @ericl
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Github user yhuai commented on the issue:
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@DanielMe The best options for 1.6 are `get_json_object ` and `json_tuple`
(their docs can be found at
https://spark.apache.org/docs/1.6.0/api/scala/index.html#org.apache.spark.sql.functions$).
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Github user jiangxb1987 commented on the issue:
https://github.com/apache/spark/pull/15417
@gatorsmile I've updated all testcases that failed checkAnalysis in
Optimizer related testsuites, for those testcases for Parser/Analyzer we don't
require them to pass checkAnalysis. Please have
GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/15515
[SPARK-17970][SQL][WIP] store partition spec in metastore for data source
table
## What changes were proposed in this pull request?
We should follow hive table and also store partition s
Github user cloud-fan commented on the issue:
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cc @yhuai
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Github user sethah commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/optim/NormalEquationSolver.scala ---
@@ -0,0 +1,165 @@
+/*
+ * Licensed to the Apache Software Foun
Github user lw-lin commented on the issue:
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Jenkins retest this please
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Github user sethah commented on a diff in the pull request:
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--- Diff:
mllib-local/src/test/scala/org/apache/spark/ml/linalg/BLASSuite.scala ---
@@ -422,4 +422,49 @@ class BLASSuite extends SparkMLFunSuite {
as
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/9#discussion_r83662587
--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
---
@@ -17,6 +17,8 @@
package org.apache.spark.ml.clustering
+
Github user sethah commented on the issue:
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One minor comment, otherwise LGTM. Thanks a lot @yinxusen and reviewers.
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Github user srowen commented on the issue:
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I suppose I don't know the conventions here well, but, the format looks
better in your change, and more params documentation seems helpful.
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jenkins please test
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GitHub user jagadeesanas2 opened a pull request:
https://github.com/apache/spark/pull/15514
[SPARK-17960][PySpark] [Upgrade to Py4J 0.10.4]
## What changes were proposed in this pull request?
1) Upgrade the Py4J version on the Java side
2) Update the py4j src zip file we
Github user steveloughran commented on the issue:
https://github.com/apache/spark/pull/12004
that's it warning that the manifest has changed. Which it has: there's now
hadoop-azure, hadoop-openstack and hadoop-aws JARs on the CP, along with
dependencies (amazon-aws SDK, microsoft-azur
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/15513
@srowen I will definitely double check the changes here before proceeding
further. Thank you for your review before getting this too big. I will proceed
this in 1-2 days. Please let me know if t
Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/15513#discussion_r83648848
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/collect.scala
---
@@ -86,7 +86,13 @@ abstract class Collect ex
Github user srowen commented on a diff in the pull request:
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--- Diff:
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---
@@ -109,7 +115,13 @@ case class CollectList(
Github user srowen commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/collect.scala
---
@@ -86,7 +86,13 @@ abstract class Collect extends
Github user srowen commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CentralMomentAgg.scala
---
@@ -194,8 +222,15 @@ case class Variance
Github user srowen commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/xml/xpath.scala
---
@@ -121,8 +176,19 @@ case class XPathFloat(xml: Expressio
Github user srowen commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CentralMomentAgg.scala
---
@@ -209,7 +244,14 @@ case class Skewness
Github user viirya commented on the issue:
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retest this please.
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Github user HyukjinKwon commented on the issue:
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I am sorry for asking repeatedly but this one is slightly different with
the JIRA one.
cc @rxin @srowen Could you please check if this one is preferable? I am
worried to go further with
GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/15513
[WIP][SPARK-17963][SQL][Documentation] Add examples (extend) in each
function and improve documentation with arguments
## What changes were proposed in this pull request?
This PR propo
GitHub user viirya reopened a pull request:
https://github.com/apache/spark/pull/14847
[SPARK-17254][SQL] Add StopAfter physical plan for the filtering that can
be stopped early
## What changes were proposed in this pull request?
This is motivated by:
From
https:/
Github user nchammas commented on the issue:
https://github.com/apache/spark/pull/12004
@steveloughran - Is this message in the most recent build log critical?
```
Spark's published dependencies DO NOT MATCH the manifest file
(dev/spark-deps).
To update the manifest fi
Github user tgravescs commented on the issue:
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Jenkins, test this please
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can you update the description with latest implementation and screen shot.
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Github user jerryshao commented on the issue:
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Yup, that's what I mean.
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Github user srowen commented on the issue:
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Yeah, you're saying all the checks can be done upfront? I agree. It will
need a tiny bit of code duplication but is more robust. I think we could also
potentially get rid of the return value from `se
Github user jerryshao commented on the issue:
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@srowen I'm not against this change, personally because the usage of flag
is wired to me and frankly saying I haven't seen such pattern in the Spark code.
Since we want to avoid re-executi
Github user holdenk commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/TaskContextImpl.scala ---
@@ -126,4 +126,14 @@ private[spark] class TaskContextImpl(
taskMetrics.regis
Github user srowen commented on a diff in the pull request:
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--- Diff:
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@@ -246,7 +247,28 @@ case class LoadDataCommand(
val loadPa
Github user srowen commented on a diff in the pull request:
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@@ -1886,6 +1887,37 @@ class SQLQuerySuite extends QueryTest wi
Github user srowen commented on a diff in the pull request:
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--- Diff:
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@@ -246,7 +247,28 @@ case class LoadDataCommand(
val loadPa
Github user AmplabJenkins commented on the issue:
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Github user scwf commented on the issue:
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retest this please.
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Github user srowen commented on the issue:
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Going once, going twice, any more comments?
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Github user srowen commented on the issue:
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@jerryshao can I take your temperature about how against this change you
are? maybe @lins05 can elaborate again on what this is preventing, and what
happens in case of a race between two threads. Tha
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/15450
@sethah I agree that when there are lots of unique points (>> k) then this
is almost certain to not happen, and that's most real-world use cases, but the
question indeed is what should happen when th
Github user lins05 commented on the issue:
https://github.com/apache/spark/pull/15487
@HyukjinKwon thanks, I'll update the PR accordingly.
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Github user codlife commented on a diff in the pull request:
https://github.com/apache/spark/pull/15511#discussion_r83616031
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala ---
@@ -240,16 +240,35 @@ class DataFrameReader private[sql](sparkSession:
Spar
Github user codlife commented on the issue:
https://github.com/apache/spark/pull/15511
@srowen , you are right! I propose this method just to make it more user
friendly, With this method, user can load a standard json file directly.
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Github user skonto commented on the issue:
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@vanzin & @srowen pls review.
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Github user DanielMe commented on the issue:
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Is there any workaround I can use to achieve a similar effect in 1.6?
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Github user srowen commented on the issue:
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OK, I think in both cases "standard" JSON is read, and in both cases, each
record is a JSON document. These aren't different cases. If you mean to read
small JSON files as records, you just use whole
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Github user srowen commented on the issue:
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Hm, if the benchmark you give generalizes much that is certainly
compelling. I guess I'm surprised that instantiating the object can be so
expensive relative to deserialization since it just happens
Github user asfgit closed the pull request at:
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Merged to master/2.0
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Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/15302
Hi, @hvanhovell .
When using `Expression`, I faced two situations.
- `checkAnalysis` raises exceptions because the column is unresolved, e.g.,
`country` is unresolved.
- As a w
Github user codlife commented on the issue:
https://github.com/apache/spark/pull/15511
Compile is ok, but when we call show(), we will get a _corrupt_record,
besides when we call select on this df, we will get an exception.
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/15316
Merged build finished. Test PASSed.
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/15316
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Github user SparkQA commented on the issue:
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Github user hvanhovell commented on the issue:
https://github.com/apache/spark/pull/15512
ok to test
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/15511
BTW, I guess per-line JSON also complies a standard -
https://tools.ietf.org/html/rfc7159#section-4. We should add a test, fix the
title to summarise what the PR proposes and fill the PR descrip
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/15511
I guess it'd be nicer if this PR resembles
https://github.com/apache/spark/pull/14151
The suggested change is to read each JSON object per file which I guess we
can share some codes in the P
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/15512
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/15376
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GitHub user witgo opened a pull request:
https://github.com/apache/spark/pull/15512
The SerializerInstance instance used when deserializing a TaskResult is not
reused
## What changes were proposed in this pull request?
The following code is called when the DirectTaskResult inst
Github user dbtsai commented on a diff in the pull request:
https://github.com/apache/spark/pull/9#discussion_r83600176
--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
---
@@ -303,6 +312,20 @@ class KMeans @Since("1.5.0") (
@Since("1.5.0")
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