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GitHub user codeforfun15 opened a pull request:
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Fixing the BUG : SPARK-23955 Typo in classification.py
## What changes were proposed in this pull request?
Fix for Jira -SPARK-23955
typo in parameter name 'rawPredicition'
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GitHub user gerashegalov opened a pull request:
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[SPARK-23956][YARN] Use effective RPC port in AM registration
## What changes were proposed in this pull request?
We propose not to hard-code the RPC port in the AM registration.
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Thanks for the PR! Quick high-level comment: We'll need to have
rawPredictionCol be optional. If it's not set or is an empty string, then it
should not be added to the output DataFrame.
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Github user jkbradley commented on the issue:
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Actually, forget the JIRA; I'll just merge it with master and branch-2.3 as
is.
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[SPARK-23966][SS] Refactoring all checkpoint file writing logic in a common
CheckpointFileManager interface
## What changes were proposed in this pull request?
Checkpoint files (offset log fi
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retest this please.
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Github user susanxhuynh commented on the issue:
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@yanji84 Thanks for the patch. I tested your previous PR on GPUs running on
DC/OS and everything worked fine. Would you mind updating the documentation as
well - https://github.com/apache/spark/
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Github user rednaxelafx commented on the issue:
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Thanks for reverting it for me. The test failure was definitely related to
the explicit nulling from this PR, but I can't see how that's possible yet.
First of all, in the build that fir
Github user bersprockets commented on the issue:
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Is array_position a string function? The function array_contains, for
example, works on arrays.
Also, this new function *seems* very similar as the existing instr ("Locate
the position
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Github user jerryshao commented on the issue:
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Thanks @koeninger for your comments. I think your suggestion is valid, the
log here is just pasted from JIRA, but we also got the same issue from
customer's report.
Here in the PR descri
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S
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Github user koeninger commented on the issue:
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I can't think of a valid reason to create a configuration to allow it. It
just fundamentally doesn't make sense to run different apps with the same
group id.
Trying to catch and re
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df.select(df.name).orderBy(funct
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Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/20959#discussion_r180942841
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
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@@ -1279,4 +1278,68 @@ class CSVSuite extends Query
Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/20959#discussion_r180942904
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
---
@@ -1279,4 +1278,68 @@ class CSVSuite extends Query
Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/20959#discussion_r180943744
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
---
@@ -1279,4 +1278,68 @@ class CSVSuite extends Query
Github user jerryshao commented on the issue:
https://github.com/apache/spark/pull/21038
Thanks @koeninger , then I will just improve the exception message.
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Github user SparkQA commented on the issue:
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Github user kiszk commented on the issue:
https://github.com/apache/spark/pull/20874
retest this please
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Github user kiszk commented on the issue:
https://github.com/apache/spark/pull/21037
@bersprockets You are absolutely right. I made mistake. I will completely
reimplement this soon.
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