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GitHub user WeichenXu123 opened a pull request:
https://github.com/apache/spark/pull/14216
[SPARK-16561][MLLib] fix multivarOnlineSummary min/max bug
## What changes were proposed in this pull request?
add a member vector `cnnz` to count each dimensions non-zero value number
Github user NarineK commented on a diff in the pull request:
https://github.com/apache/spark/pull/14090#discussion_r70920518
--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset grouping
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Github user shivaram commented on a diff in the pull request:
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--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset groupin
Github user mariobriggs commented on the issue:
https://github.com/apache/spark/pull/14214
What i tried to do as a 'side fix' was like this,
eliminate [1] since it was a lazy val.
Move [2] out of the code path of the main thread i.e. let ListenerBus
thread pay the pen
GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/14217
[SPARK-16562][SQL] Do not allow downcast in INT32 based types for normal
Parquet reader
## What changes were proposed in this pull request?
Currently, INT32 based types, (`ShortType`,
Github user HyukjinKwon commented on the issue:
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cc @liancheng
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Github user HyukjinKwon commented on the issue:
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ping @mengxr and @yanboliang
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Github user NarineK commented on a diff in the pull request:
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--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset grouping
Github user adrian-wang commented on the issue:
https://github.com/apache/spark/pull/14169
@rxin In Spark 2.0, those conf values start with "hive.", which have
default value in HiveConf, cannot get the default value now.
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Github user chenghao-intel commented on the issue:
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HiveConf provides default value
`org.apache.hadoop.hive.ql.exec.TextRecordReader`,
`org.apache.hadoop.hive.ql.exec.TextRecordWriter` for keys
`hive.script.recordreader` and `hive.script.reco
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Github user shivaram commented on a diff in the pull request:
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--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset groupin
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Github user shivaram commented on a diff in the pull request:
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--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset groupin
Github user ScrapCodes commented on the issue:
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@rxin Do you think it looks okay now ?
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Github user ScrapCodes commented on the issue:
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@marmbrus Do you think this is useful ?
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Github user yanboliang commented on the issue:
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cc @srowen
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Github user NarineK commented on a diff in the pull request:
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--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset grouping
Github user shivaram commented on a diff in the pull request:
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--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset groupin
Github user rxin commented on the issue:
https://github.com/apache/spark/pull/14169
Are all script transforms broken? Don't we already have a test case that
actually run script transforms?
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Github user SparkQA commented on the issue:
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Github user rxin commented on the issue:
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Thanks - merging in master.
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Github user asfgit closed the pull request at:
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Github user lw-lin commented on the issue:
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@mariobriggs Thanks for the information!
> 1 can be eliminated because 'executedPlan' is a ' lazy val' on
QueryExecution ?
Yea indeed. Its being there can provide us debug info but o
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/14090#discussion_r70926341
--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset grou
Github user felixcheung commented on a diff in the pull request:
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--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset grou
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Github user mariobriggs commented on the issue:
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>Yea we probably do not want to modify this public API; so what we did in
this patch was, passing [3]'s incrementalExecution into the listener so we
would initialize physical planning only once
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Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/14215
Currently, the error message is still confusing.
```
org.apache.parquet.io.ParquetDecodingException: Can not read value at 1 in
block 0
```
Could we first improve the error handli
Github user adrian-wang commented on the issue:
https://github.com/apache/spark/pull/14169
@rxin Only those script transformation cases which use LazySimpleSerde
would be affected.
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Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/14132#discussion_r70927162
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
---
@@ -1774,6 +1775,35 @@ class Analyzer(
}
/*
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