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--- Diff: pom.xml ---
@@ -760,6 +760,12 @@
1.10.19
test
+
--- End diff --
Is it necessary to
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@mgaido91 BTW: In SPARK-24395 I would consider the cases to still be valid,
because I believe there is no other syntactic way to do a multi-column IN/NOT
IN with list of literals.
The
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test this please
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[SPARK-24337][Core] Improve error messages for Spark conf values
## What changes were proposed in this pull request?
Improve the exception messages when retrieving Spark conf values
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@gatorsmile Can you take a look at this?
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[SPARK-24356] [CORE] Duplicate strings in File.path managed by
FileSegmentManagedBuffer
This patch eliminates duplicate strings that come from the 'path' field of
java.io.File objects created
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Ok to test
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Yes.
On Tue, May 29, 2018 at 1:18 PM, UCB AMPLab
wrote:
> Can one of the admins verify this patch?
>
> â
> You are receiving this because you authored the
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--- Diff: python/pyspark/tests.py ---
@@ -543,6 +543,15 @@ def test_tc_on_driver(self):
tc = TaskContext.get()
self.assertTrue(tc is
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[SPARK-24093][DStream][Minor]Make some fields of KafkaStreamWriter/Inâ¦
â¦ternalRowMicroBatchWriter visible to outside of the classes
## What changes were proposed in this pull
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@mgaido91 This also works, +1.
What about `a in (select (b, c) from ...)` when `a` is a struct? - I guess
allow it, but a potential gotcha during implementation
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--- Diff: python/pyspark/worker.py ---
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"Number of columns of the
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so specifically on the limit, I'm ok with removing it as long as we have
the basic check to fail. I guess perhaps you are saying the limit and that
check are essentially the same thing? I was
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@@ -328,4 +328,19 @@ package object config {
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cc @zsxwing @jiangxb1987
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Test branch to see how Scala 2.11.12 performs
This may be useful when Java 8 is no longer supported since
Scala 2.11.12 supports later versions of Java
## What changes were
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--- Diff:
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---
@@ -0,0 +1,27 @@
+/*
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@@ -40,22 +60,129 @@ class
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ok to test
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This case can also occur when the datasets are different but share a common
lineage. Consider the following:
`df = spark.range(10)
df1 = df.groupby('id').count()
df2 =
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@@ -219,10 +219,15 @@ object
Github user jiangxb1987 commented on the issue:
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IIUC this PR print the config key in the error message if the config
value(either default or get from the configMap) can't be cast properly.
Personally I think it add some value to include this
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--- Diff: python/pyspark/taskcontext.py ---
@@ -88,3 +89,9 @@ def taskAttemptId(self):
TaskAttemptID.
"""
return
Github user vanzin commented on the issue:
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So, one thing that I was thinking about is whether it would be worth it to
make error handling a little better here. I think this is no worse than the
current status quo, and looking at the related
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I'm sorry for the late review, but I think the current fix is still
behavior change..
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I'm also looking at this issue. The challenge is that one of the hacks we
use to initialize the Spark
before REPL sees any files was removed in Scala 2.11.12.
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Here is the issue in Scala side. https://github.com/scala/bug/issues/10913
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[SPARK-24414][ui] Calculate the correct number of tasks for a stage.
This change takes into account all non-pending tasks when calculating
the number of tasks to be shown. This also means that
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@daniel-shields in that case you have 2 different datasets `df1` and `df2`.
So they are 2 distinct attributes and the check `a.sameRef(b)` would return
false. This is applied only in case you have
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I guess sending configurations is not that difficult.
We can write configs (as `Map[String, String]` for further configurations
in the future?) before `PythonUDFRunner.writeUDFs(dataOut, funcs,
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@jerryshao can you review this minor update ?
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