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Retest this please.
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Github user dongjoon-hyun commented on the issue:
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@tgravescs .
Yep. The title of SPARK-22158 was changed recently because it only
supported Table SerDe properties. If you set the ORC property into Table SerDe
properties (not in Table
Github user tgravescs commented on the issue:
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hey, sorry its unclear to me exactly what isn't support right now in 2.3.
The jira and this pr mention table properties not supported but #19382 seems
like it fixed that. The reason I'm
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Can one of the admins verify this patch?
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[SPARK-22915][MLlib] Streaming tests for spark.ml.feature, from N to Z
# What changes were proposed in this pull request?
Adds structured streaming tests using testTransformer for
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Github user misutoth commented on the issue:
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As discussed in email R documentation is reorganized and math functions are
grouped as part of SPARK-20889. Because of this grouping I dont think this
change is really applicable on R. @srowen,
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Merging to master / 2.3.
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jenkins retest this please
Flaky: `sbt.ForkMain$ForkError: java.io.IOException: Failed to delete:
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Github user ssuchter commented on the issue:
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It's just because we haven't PR'd them yet. There's some cleanups that I
wanted to do before doing that.
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/HashingTF.scala
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@@ -93,11 +97,21 @@ class HashingTF @Since("1.4.0") (@Since("1.4.0")
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BTW I wonder why are we still relying on integration tests that do not live
in the Spark repo...
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`SparkFiles.get()` is the official way of retrieving anything that is
distributed using `--files`. So if the application is not using that, it's
relying on undocumented behavior.
In the
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* as a
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It's not semantically wrong that the attempt number is never reset; it just
means that for very long-running streams task restarts will eventually run out.
You make a good point that in
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@foxish I think the confusion mostly comes from the property name. I don't
think we need to change the semantics of `spark.executor.cores` nor the way
dynamic resource allocation works in K8S
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Github user gerashegalov commented on the issue:
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Thanks for suggestions, I will look into them. I agree that a solution into
the right direction will definitely involve changing the write call path. I did
not go down this path because I have
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@felixcheung, I have started a mail thread on d...@spark.apache.org with
title _Help needed in R documentation generation_ because I did not feel it is
directly related to this PR. Thanks for your
Github user ifilonenko commented on the issue:
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@vanzin you are definitely right and that is what needs to happen. However,
one of the functions of the init container was resolving the file location
which atm isnât supported unless the
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@ifilonenko you can't just remove the init container without replacing its
functionality. In my patch that was done by using spark-submit to run the
driver. But here you have nothing. That's why the
Github user BryanCutler commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/tests.py ---
@@ -3493,19 +3514,30 @@ def create_pandas_data_frame(self):
data_dict["4_float_t"] =
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Github user rdblue commented on the issue:
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One more thing on matching the behavior of other nodes for the schema:
since you agree that the scan nodes should report types, can you open an issue
for it? I'm also fine adding it here instead of
Github user rdblue commented on the issue:
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@cloud-fan, I found a couple new problems but otherwise this looks good. I
see you rolled back the equality changes for the scan node and streaming
relation. What is the JIRA issue to update v2
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+/*
+ *
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True. Still, to be able to do that, you're hardcoding YARN-isms into the
code, e.g., how application IDs look, so that you can create a "fake"
application entry that will, hopefully, eventually
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--- Diff: core/src/main/scala/org/apache/spark/ui/jobs/AllStagesPage.scala
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Oops - knew we tried that before. Just paged in the discussion from
https://github.com/apache/spark/pull/20460. Looks like that approach might need
revisiting.
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@cloud-fan @jiangxb1987 I assume you're referring to
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