Github user imatiach-msft commented on the issue:
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@HyukjinKwon looks like a great change to me, thank you for exposing the
method in pyspark
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Github user cloud-fan commented on the issue:
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I agree that pandas and pyarrow should not be a hard requirement for users,
and this is what it is today: PySpark only throws exception when users try to
use pandas related functions without
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Github user srowen commented on the issue:
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OK, the code in question uses the `rawPredictionCol` from the `models` it
is given. Yes they'd have to be unique for this to make sense, because it adds
those raw prediction columns to the output.
Github user gatorsmile commented on the issue:
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retest this please
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Github user HyukjinKwon commented on the issue:
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Also, if we should go in this way, I think we should enable some tests with
PyPy too if I understood correctly and there isn't another problem I maybe
missed:
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GitHub user HyukjinKwon opened a pull request:
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[SPARK-23300][TESTS] Prints out if Pandas and PyArrow are installed or not
in PySpark SQL tests
## What changes were proposed in this pull request?
This PR proposes to log if PyArrow
Github user HyukjinKwon commented on the issue:
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@ueshin, @cloud-fan, @yhuai, @felixcheung and @BryanCutler, I tried to log
it here. Could you take a look and see if it makes sense to you?
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Github user cloud-fan commented on the issue:
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@rdblue I know you wanna use `PhysicalOperation` to replace the current
operator pushdown rule, but before we reach a consensus, I think we should
still fix bugs in the existing code.
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--- Diff: python/pyspark/sql/tests.py ---
@@ -4353,6 +4347,446 @@ def test_unsupported_types(self):
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--- Diff: python/pyspark/sql/tests.py ---
@@ -2819,13 +2802,6 @@ def test_to_pandas(self):
self.assertEquals(types[4], 'datetime64[ns]')
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--- Diff: python/run-tests.py ---
@@ -151,6 +151,38 @@ def parse_opts():
return opts
+def _check_dependencies(python_exec,
Github user rdblue commented on the issue:
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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
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ok to test
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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
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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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:
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--- Diff: python/run-tests.py ---
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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 jiangxb1987 commented on the issue:
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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
Github user rdblue commented on the issue:
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+1
Good to get this in before changes to the relation.
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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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--- Diff:
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---
@@ -199,7 +200,7 @@ object ExtractFiltersAndInnerJoins
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
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Github user rednaxelafx commented on the issue:
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@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 liufengdb commented on a diff in the pull request:
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Github user attilapiros commented on the issue:
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Unrelated failure:
"org.apache.spark.sql.execution.datasources.orc.OrcQuerySuite"
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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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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
Github user jiangxb1987 commented on the issue:
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Do we also want to update the comment of `SPARK_EXECUTOR_CORES` in
`spark-env.sh` ?
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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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To everyone, this is a bug fix we should merge before the next RC of Spark
2.3.
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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 vanzin commented on a diff in the pull request:
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--- Diff:
launcher/src/main/java/org/apache/spark/launcher/LauncherServer.java ---
@@ -363,17 +362,28 @@ public void close() throws IOException {
GitHub user zhzhan opened a pull request:
https://github.com/apache/spark/pull/20480
[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 icexelloss commented on a diff in the pull request:
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--- Diff:
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@@ -199,7 +200,7 @@ object ExtractFiltersAndInnerJoins
Github user yucai commented on a diff in the pull request:
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--- Diff:
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@@ -203,22 +203,23 @@ private
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@@ -363,17 +362,28 @@ public void close() throws IOException {
Github user squito commented on a diff in the pull request:
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Jenkins, ok to test
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Jenkins, add to whitelist
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Can one of the admins verify this patch?
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retest this please
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cc @rxin @gatorsmile @rdblue @jose-torres
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Github user icexelloss commented on the issue:
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I thought this is resolved. @felixcheung can you give an example of the
issue you ran into?
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I get this when I start the master and worker, without running spark-submit
on both 2.2.0 and 2.2.1
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@@ -165,13 +165,23 @@ public
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -2168,7 +2168,17 @@ private[spark] object Utils extends Logging {
//
Github user kiszk commented on the issue:
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@rednaxelafx I understand your concern when `ctx.registerComment()` is
conditionally called.
If we call `ctx.registerComment()` with the specific identified multiple
times, how do we handle?
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/17886#discussion_r165421914
--- Diff:
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImpl.java
---
@@ -221,6 +227,70 @@ private void
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/20455
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/19788
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