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[SPARK-16166][Core] Also take off-heap memory usage into consideration in
log and webui display
## What changes were proposed in this pull request?
Currently in the log and UI display,
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Github user dongjoon-hyun commented on the issue:
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Hi, @cloud-fan .
Could you review this `CollapseRepartitionBy` optimizer when you have some
time?
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cc @rxin and @srowen
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Github user HyukjinKwon commented on the issue:
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Sorry, this will prints wrong items when the order is different. Closing
this.
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GitHub user gatorsmile opened a pull request:
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[SPARK-16222] [SQL] JDBC Sources - Handling illegal input values for
`fetchsize` and `batchsize`
What changes were proposed in this pull request?
For JDBC data sources, users can
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala
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@@ -915,15 +917,14 @@ private[sql]
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[SPARK-16221][SQL] Redirect Parquet JUL logger via SLF4J for WRITE
operations
## What changes were proposed in this pull request?
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Github user jiangxb1987 commented on the issue:
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@cloud-fan could you please have a look at this PR?
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Github user gatorsmile commented on the issue:
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Nope. If users do not specify the intput and output formats. We will use
the default `INPUTFORMAT`, which is `org.apache.hadoop.mapred.TextInputFormat`
and the default `OUTPUTFORMAT`, which is
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[MINOR][SQL][TEST] checkAnswer does not print the rows being compared in a
correct order
## What changes were proposed in this pull request?
This PR corrects the order of rows being
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jenkins test this please
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[SPARK-16220] Revert Change to Bring Back SHOW FUNCTIONS Functionality
## What changes were proposed in this pull request?
- Fix tests regarding show functions functionality
- Revert
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How much overhead we can reduce with this?
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--- Diff:
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@@ -26,6 +26,20 @@ import
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@@ -51,27 +51,52 @@ case class
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Thank you, @HyukjinKwon .
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Oh, this was queued up in my local to submit a PR. I will leave a comment
just to note that this complies
https://github.com/databricks/scala-style-guide#variable-naming-convention.
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@rxin, Could you please take a look?
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@srowen Hm.. I just wonder if I should correct JSON data source to be
consistent with this meaning these below:
1. Default is to write time as numeric timestamps
2. Supports both
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With your PR, if users specify `ROW FORMAT SERDE
'org.apache.hadoop.hive.ql.io.orc.OrcSerde'`, will we convert?
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/model/treeEnsembleModels.scala
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@@ -151,31 +151,23 @@ class GradientBoostedTreesModel
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@@ -205,31 +205,27 @@ private[spark] object
Github user ioana-delaney commented on the issue:
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@hvanhovell Thank you for reviewing the changes. I replied to your comments
and made some updates. Please let me know.
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--- Diff:
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@@ -911,19 +911,30 @@ class Analyzer(
*
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@@ -911,19 +911,30 @@ class Analyzer(
*
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[SPARK-16081] Disallow using `l` as variable name
## What changes were proposed in this pull request?
This PR adds a ScalaStyle custom rule, `DisallowMisleadingVariableName`, by
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Github user asfgit closed the pull request at:
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--- Diff: R/pkg/R/group.R ---
@@ -243,17 +236,73 @@ setMethod("gapply",
signature(x = "GroupedData"),
function(x, func,
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LGTM. Thanks @felixcheung - Merging this into master and branch-2.0
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Merged build finished. Test PASSed.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/13494
**[Test build #61271 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/61271/consoleFull)**
for PR 13494 at commit
Github user felixcheung commented on the issue:
https://github.com/apache/spark/pull/13885
@shivaram this is ready, thanks!
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Github user koeninger commented on the issue:
https://github.com/apache/spark/pull/11863
Moved the prefered location and consumer creation strategies to an explicit
interface, let me know if that's more usable from your point of view.
Scala api looks like
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