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--- Diff: core/src/main/scala/org/apache/spark/api/r/RUtils.scala ---
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+/*
+ * Licensed to the Apache Software Foundation (ASF) unde
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*/
private
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--- Diff:
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return UTF8
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LGTM. Thanks @sun-rui for this change !
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LGTM, merging this into master, thanks!
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--- Diff: python/run-tests.py ---
@@ -31,6 +31,23 @@
import Queue
else:
import queue as Queue
+if sys.version_info >= (2, 7):
+
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No problem, I'll try to resolve these today
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Thanks for the comment but Vector is a sealed trait as well but that seems
to work fine.
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I created the pull request for this:
https://github.com/apache/spark/pull/7161.
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[SPARK-8763][PySpark] executing run-tests.py with Python 2.6 fails with
absence of subprocess.check_output function
Running run-tests.py with Python 2.6 cause following error:
```
Run
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This is the last PR for SPARK-6602
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Hi @BryanCutler sorry for the delay on my mind. Thanks for updating.
Unfortunately looks like there are more conflicts with master, looks like you
need to merge again.
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--- Diff: core/src/main/scala/org/apache/spark/util/RpcUtils.scala ---
@@ -47,14 +47,22 @@ object RpcUtils {
}
/** Returns the default Spark
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--- Diff: core/src/main/scala/org/apache/spark/util/RpcUtils.scala ---
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}
/** Returns the default Spark
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}
/** Returns the default Spark
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}
/** Returns the default Spark
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--- Diff:
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@@ -354,6 +354,67 @@ case class Pow(left: Expression, right: Ex
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@mengxr
I just checked that HashingTF inherits from Has NumFeatures so there is no
really nothing to do for the first point.
I've just added the meth
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--- Diff: python/pyspark/rdd.py ---
@@ -687,13 +687,25 @@ def groupBy(self, f, numPartitions=None):
return self.map(lambda x: (f(x), x)).groupByKey
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Could we only have two mode? Fail on non-zero code or not, then it will be
easier to understand. We can call it `checkCode`, which is False by default,
grep could work wi
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The hard part is that BinaryType could be used in ArrayType and MapType, we
need to also fix them.
As @marmbrus suggested, it's better to create a wrapper for Bin
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@pwendell are you OK with the change to `ExceptionFailure`? If you're ok
w/ it, this lgtm
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GitHub user ilganeli opened a pull request:
https://github.com/apache/spark/pull/7160
[SPARK-8733][MLLIB] ML RDD.unpersist calls should use blocking = false
Updated all usages within the ML Lib module to use blocking = false.
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