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GitHub user yaozhang2016 opened a pull request:
https://github.com/apache/spark/pull/19356
Merge pull request #1 from apache/master
update from origin
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
## How
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Github user BryanCutler commented on the issue:
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Nice job on refactoring `PythonRunner`! I think we should just replace the
arrow file format with stream format for pandas udf instead of having a new
conf to enable it, as long as all the
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Close this @yaozhang2016
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Github user gatorsmile commented on the issue:
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Thanks! Maybe we can close it now and revisit it when we have a better way
to resolve the file system specific issues?
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OK, closing this and the jira
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowStreamPythonUDFRunner.scala
---
@@ -0,0 +1,197 @@
+/*
+ *
Github user ArtRand commented on the issue:
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Hey @kalvinnchau good catch on the first renewal time. I believe I
addressed it. Have a look. Thanks again.
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--- Diff:
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@@ -728,4 +728,120 @@ class InsertSuite extends QueryTest with
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Github user gpang commented on the issue:
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Hi @srowen @vanzin , would you be able to help me with this PR? Thanks!
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Hi, @fjh100456 . I left a few comments.
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Github user pgandhi999 commented on the issue:
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Ok, I will look into it. I am currently fixing ui bugs and unit tests, so
will commit those changes first, then will look into the above issue. Thank you.
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Add:
#15009
#18253
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Retest this please.
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Github user ajbozarth commented on the issue:
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Ok so I'm still doing more testing but I've narrowed the above problem. The
above error is occurring when using either local or standalone, the error
doesn't appear when using yarn. I'll continue
Github user jkbradley commented on the issue:
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> We have two candidate name: epsilon or m
I see; that seems fine then, though I worry that we use "epsilon" in MLlib
(tests) for "a very small positive number." Can we document it more
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@ArtRand thanks! I've been testing a local version of doing that, I'll pull
that change in and test it as well.
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Hello guys, are there a change for this patch to be merged to master?
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Added.
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Jenkins, add to whitelist
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Thanks @squito i have updated the description
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[SPARK-22135] metrics in spark-dispatcher not being registered properly
## What changes were proposed in this pull request?
Fix a trivial bug with how metrics are registered in the mesos
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--- Diff: core/src/main/scala/org/apache/spark/deploy/master/Master.scala
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val app
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@HyukjinKwon I has updated this title. Thanks !
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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -420,7 +425,29 @@ def csv(self, path, schema=None, sep=None,
encoding=None, quote=None, escape=Non
GitHub user holdenk opened a pull request:
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[SPARK-22129][SPARK-22138] Release script improvements
## What changes were proposed in this pull request?
Use the GPG_KEY param, fix lsof to non-hardcoded path, remove version swap
since
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Github user facaiy commented on the issue:
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Hi, since the work has been done for a long time, I take a review by
myself.
After careful review, as SparseVector is compressed sparse row format, so
the only benefit of the PR would be
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@goldmedal, are you online now? how about fixing the PR title to say
something like .. "Supports RDD of strings as input in spark.read.csv in
PySpark"?
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Github user viirya commented on the issue:
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ping @gatorsmile for the SQL part.
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@@ -439,6 +443,8 @@ final class ShuffleBlockFetcherIterator(
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I've tested few times locally. Can't have the same failure.
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HI, @WeichenXu123.
As said by @srowen , the benefit of this would be for speed at predict time
or for model storage. Hence I'm not sure whether benchmark is really need for
the PR.
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Github user HyukjinKwon commented on the issue:
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In a quick look, both tests failures:
```
File
"/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/sql/readwriter.py",
line 303, in parquet
return
GitHub user ron8hu opened a pull request:
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support histogram in filter cardinality estimation
## What changes were proposed in this pull request?
Histogram is effective in dealing with skewed distribution. After we
generate
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