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Ping @ash211
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--- Diff:
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---
@@ -890,32 +890,39 @@ class Analyzer(
/**
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retest this please
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Jenkins, retest this please.
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Hi, @cloud-fan @gatorsmile. Would you mind take a look?
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Github user mgaido91 commented on the issue:
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@bdrillard thanks but we removed the "guilty" test case for many reasons.
Thank you anyway.
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@srowen So could I open another issue altogether?
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Merged to master/2.2
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Less duplication is good but could we similar contents with
http://spark.apache.org/docs/latest/sql-programming-guide.html#json-datasets?
It looks the examples are quite different.
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hi @cloud-fan jenkins ok
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@@ -276,8 +276,8 @@
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@ChenjunZou did you get a chance to look at my left comment?
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--- Diff: python/pyspark/sql/session.py ---
@@ -414,6 +415,43 @@ def _createFromLocal(self, data, schema):
data = [schema.toInternal(row)
GitHub user ConeyLiu opened a pull request:
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[SPARK-22293][SQL] Avoid unnecessary traversal in ResolveReferences
## What changes were proposed in this pull request?
We don't need traverse the children expression to determine whether
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Change itself LGTM if we are okay to go separating this.
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@vanzin, do you have other comments?
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--- Diff: docs/sql-programming-guide.md ---
@@ -462,7 +462,6 @@ names (`json`, `parquet`, `jdbc`, `orc`, `libsvm`,
`csv`, `text`). DataFrames lo
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@gatorsmile WDYT?
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--- Diff:
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---
@@ -55,6 +55,12 @@ object ArrowWriter {
case
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--- Diff: python/pyspark/sql/types.py ---
@@ -1619,11 +1619,38 @@ def to_arrow_type(dt):
arrow_type = pa.decimal(dt.precision, dt.scale)
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Jenkins, retest this please.
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>The effect of this change is that now it's possible to initialize multiple,
non-concurrent SparkContext instances in the same JVM.
@vanzin , do we support in now? As I remembered it
Github user srowen commented on the issue:
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For the content type header, does the UI seem to work normally with it on?
I don't think we should have any problem with that restriction or else need to
fix it . You could move the defaults to on
Github user jomach commented on the issue:
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Yes I'm viewing the docs with Jekyll. I addressed that on my previous
comment. I really don't think we should make a huge example as the json does.
It's a csv ...
What do you think ?
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--- Diff: bin/find-spark-home.cmd ---
@@ -0,0 +1,44 @@
+@echo off
+
+rem
+rem Licensed to the Apache Software Foundation (ASF) under one
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merged to master
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No, https://issues.apache.org/jira/browse/SPARK-16599 is still open
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merging to master!
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[SPARK-21551][Python] Increase timeout for PythonRDD.serveIterator
Backport of https://github.com/apache/spark/pull/18752
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[SPARK-22287][MESOS] SPARK_DAEMON_MEMORY not honored by MesosClusterDâ¦
â¦ispatcher
## What changes were proposed in this pull request?
Allow JVM max heap size to be controlled
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Github user cloud-fan commented on the issue:
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+1, before we figure out the semantic of nondeterministic aggregate
functions, let's be careful here.
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Github user steveloughran commented on a diff in the pull request:
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--- Diff:
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@@ -0,0 +1,252 @@
+/*
+ * Licensed to
Github user steveloughran commented on the issue:
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I guess one aspect of `saveAsNewAPIHadoopFile` is that it calls `
jobConfiguration.set("mapreduce.output.fileoutputformat.outputdir", path)`, and
`Configuration.set(String key, String value)`
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[SPARK-21551][Python] Increase timeout for PythonRDD.serveIterator
Backport of https://github.com/apache/spark/pull/18752
(https://issues.apache.org/jira/browse/SPARK-21551)
(cherry
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[SPARK-21551][Python] Increase timeout for PythonRDD.serveIterator
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Github user ssaavedra commented on the issue:
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I think that may be a good idea. I'd say this can depend on the scheduler.
Should that be discussed under a different JIRA number?
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Github user WeichenXu123 commented on the issue:
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@smurching I found some issues and have some thoughts on the columnar
features format:
- In your doc, you said "Specifically, we only need to store sufficient
stats for each bin of a
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[SPARK-20396][SQL][PySpark][FOLLOW-UP] groupby().apply() with pandas udf
## What changes were proposed in this pull request?
This is a follow-up of #18732.
This pr modifies
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2038,13 +2038,22 @@ def _wrap_function(sc, func, returnType):
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--- Diff:
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@@ -23,21 +23,58 @@ import
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--- Diff:
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---
@@ -63,6 +64,23 @@ case class InMemoryRelation(
Github user tgravescs commented on the issue:
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just reading through your description here all the yarn pieces aren't in
place so you have an admin type command to signal spark that a node is being
decommissioned. But that means someone has to
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thanks, merging to master!
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@@ -63,6 +64,23 @@ case class InMemoryRelation(
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https://github.com/apache/spark/pull/19516
[SPARK-22277][ML]fix the bug of ChiSqSelector on preparing the output column
## What changes were proposed in this pull request?
To prepare the output columns when use ChiSqSelector, the
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/19505
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