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UI looks good to me, and taking a quick look at the code it looks fine,
sorry haven't had time to do in depth review,but if @squito is good with it I'm
fine with it.
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Github user vanzin commented on the issue:
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So how are you expected to contact the thrift server after it's up, and
even figure out where it started? Isn't the container unreachable from the
outside world unless you do some port mapping on
GitHub user zsxwing opened a pull request:
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[SPARK-23307][WEBUI]Sort jobs/stages/tasks/queries with the completed
timestamp before cleaning up them
## What changes were proposed in this pull request?
Sort jobs/stages/tasks/queries
Github user vanzin commented on a diff in the pull request:
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Github user gatorsmile commented on the issue:
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Since you are being more and more familar with our codes, I believe you can
offer us more useful inputs.
Let me merge this PR for fixing the bugs. Then, we can have more detailed
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Logging {
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--- Diff:
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+/*
+ * Licensed to the Apache Software
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Github user rdblue commented on the issue:
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Yeah, I did review it, but at the time I wasn't familiar with how the other
code paths worked and assumed that it was necessary to introduce this. I wasn't
very familiar with how it *should* work,
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[Spark-23306] Fix the oom caused by contention
## What changes were proposed in this pull request?
here is race condition in TaskMemoryManger, which may cause OOM.
The memory
Github user rednaxelafx commented on the issue:
https://github.com/apache/spark/pull/20419
@kiszk For this specific kind of usage, I don't think using a hardcoded
stable ID will be a problem.
The comment we're talking about is the kind the can only appear once in a
single
Github user gatorsmile commented on the issue:
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https://github.com/apache/spark/pull/19424 is the original PR that
introduced the new rule `PushDownOperatorsToDataSource`. Both of us reviewed
it. : )
Thank you for your understanding!
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Github user rdblue commented on the issue:
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@gatorsmile, Do you mean this?
> Extensibility is not good and operator push-down capabilities are limited.
If so, that's very open to interpretation. I would assume it means that
Github user jiangxb1987 commented on the issue:
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Actually I think this may fail some check (though may not throw exceptions)
for instance this one:
Github user gatorsmile commented on the issue:
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@rdblue Operator pushdown is part of the [data source API V2
SPIP](https://docs.google.com/document/d/1n_vUVbF4KD3gxTmkNEon5qdQ-Z8qU5Frf6WMQZ6jJVM/edit#):
Github user akopich commented on the issue:
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@hhbyyh So, I guess, I should just roll the refactoring back, right?
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Do we also want to update the comment of `SPARK_EXECUTOR_CORES` in
`spark-env.sh` ?
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Github user rdblue commented on the issue:
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@gatorsmile, thanks for the context. If we need to redesign push-down, then
I think we should do that separately and with a design plan.
**I don't think it's a good idea to bundle it into an
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ok to test
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This is another bug fix of the new data source v2
Thanks! Merged to master/2.3
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To everyone, this is a bug fix we should merge before the next RC of Spark
2.3.
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/planning/patterns.scala
---
@@ -199,7 +200,7 @@ object ExtractFiltersAndInnerJoins
Github user gatorsmile commented on the issue:
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@rdblue To be honest, the push-down solution in the current code base is
not well designed. We got many feedbacks from the community (e.g., SAP and IBM
Research). One proposed a bottom-up
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+1
Good to get this in before changes to the relation.
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--- Diff:
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@@ -81,35 +81,34 @@ object
Github user gatorsmile commented on the issue:
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LGTM
This bug fix is nice to have in 2.3. I will merge it now. Please submit a
follow-up PR.
Thanks! Merged to master/2.3
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@cloud-fan, @gatorsmile, this PR demonstrates why we should use
PhysicalOperation. I ported the tests from this PR over to our branch and they
pass without modifying the push-down code. That's
Github user yhuai commented on a diff in the pull request:
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--- Diff: python/run-tests.py ---
@@ -151,6 +151,38 @@ def parse_opts():
return opts
+def _check_dependencies(python_exec,
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LGTM
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[SPARK-23305][SQL][TEST] Add `spark.sql.files.ignoreMissingFiles` test case
for ORC
## What changes were proposed in this pull request?
Like Parquet, Apache Spark ORC already
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--- Diff: python/run-tests.py ---
@@ -151,6 +151,38 @@ def parse_opts():
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+def _check_dependencies(python_exec,
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Unrelated failure:
"org.apache.spark.sql.execution.datasources.orc.OrcQuerySuite"
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retest this please
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/20455
Merged build finished. Test FAILed.
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