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[SPARK-23295][Build][Minor]Exclude Waring message when generating versions
in make-distribution.sh
## What changes were proposed in this pull request?
When we specified a wrong profile t
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Since the map support is added, I'll do related change later.
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@gatorsmile this is a great patch. The test can be improved, but I think it
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Yes, the tests are being run with python3. I do prefer to have these
conditional skips removed because sometimes it is hard to tell if everything
passed or was just skipped. But since pandas and
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So, jenkins jobs run those tests with python3? If so, I feel better because
those tests are not completely skipped in Jenkins. If it is hard to make them
run with python 2. Letâs have a log to expli
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Github user HyukjinKwon commented on the issue:
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Yup, there was a related discussion already. See this
https://github.com/apache/spark/pull/19884#issuecomment-351916074 and
https://github.com/apache/spark/pull/19884#issuecomment-353068446. We
Github user liufengdb commented on the issue:
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The major issue this PR tries to cover has been fixed by
https://github.com/apache/spark/pull/20029, so I think we are good if there are
no calls to `HiveClientImpl.newSession`. We can close this
Github user BryanCutler commented on the issue:
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Looking back at when pyarrow was last upgraded in #19884, pandas and
pyarrow were upgraded on all workers for python 3, but there were maybe some
concerns or difficulties with upgrading for pyth
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thanks! LGTM
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[SPARK-23280][SQL][FOLLOWUP] Fix Java style check issues.
## What changes were proposed in this pull request?
This is a follow-up of #20450 which broke lint-java checks.
This pr fixes th
Github user viirya commented on a diff in the pull request:
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--- Diff: R/pkg/R/column.R ---
@@ -169,7 +169,7 @@ setMethod("alias",
#' @note substr since 1.4.0
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@srowen Different from the base model (like LoR), OVR and OVRModel do not
have param `rawPredictionCol`.
So if the input dataframe contains a column which has the same name as base
model'
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--- Diff: python/pyspark/sql/window.py ---
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:param end: boundary end, inclusive.
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Thanks, @gatorsmile.
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Fine. I just merged it
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Sorry, actually I am hitting a network problem. Let me try it latter if
it's merged.
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--- Diff: python/pyspark/sql/tests.py ---
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I'd target this 2.3 & master. Waiting for tests
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```
ImportError: Pandas >= 0.19.2 must be installed on calling Python process;
however, your version was 0.16.0.
```
I guess the RISELab boxes will need some updates...
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Github user felixcheung commented on the issue:
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sure, that's ok, I think we can revisit later (ie. next release) if we want
to add an env switch or something to make them optional
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> I think there are some values in having a way to run python tests
without Arrow?
I agree, but the more important thing is to make sure jenkins runs
everything, so that we can be confid
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Jenkins, retest this please
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Github user felixcheung commented on the issue:
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Ping. I ran into this exact issue with pandas_udf on a simple data set with
a timestamp type column.
As far as I can tell, there is no way to around this since pandas code is
running deep in
Github user yhuai commented on the issue:
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@felixcheung jenkins is actually skipping those tests (see the failure of
this pr). It makes sense to provide a way to allow developers to not run those
tests. But, I'd prefer that we run those tests
Github user felixcheung commented on the issue:
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hmm, I think there are some values in having a way to run python tests
without Arrow? I mean the test.py is not just for Jenkins but for everyone
consuming the Spark release... unless we are say
Github user jerryshao commented on the issue:
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I agree. sorry to merge it so quickly, let me revert it.
@ssaavedra would you please submit PR again when everything is done, thanks!
---
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my take is not that it doesn't work but some names are out of date because
it was done for the k8s fork.
I think we should revert the commit and wait till it is tested out
complete. WDYT?
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--- Diff: R/pkg/R/column.R ---
@@ -169,7 +169,7 @@ setMethod("alias",
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--- Diff: python/pyspark/sql/tests.py ---
@@ -4353,6 +4347,446 @@ def test_unsupported_types(self):
df.groupby('id').apply(f).collect()
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[SPARK-22274][PYTHON][SQL][FOLLOWUP] Use `assertRaisesRegexp` instead of
`assertRaisesRegex`.
## What changes were proposed in this pull request?
This is a follow-up pr of #19872 which uses
Github user viirya commented on the issue:
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> One followup question is though, would it be difficult to match the
behaviour with substr in R when the index is 0 or minus? If i understood #20464
(comment) correctly, it sounds better to match it
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--- Diff:
core/src/main/scala/org/apache/spark/api/python/PythonWorkerFactory.scala ---
@@ -191,7 +191,20 @@ private[spark] class PythonWorkerFactory(py
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--- Diff: python/pyspark/sql/tests.py ---
@@ -4353,6 +4347,446 @@ def test_unsupported_types(self):
df.groupby('id').apply(f).collect()
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Github user SparkQA commented on the issue:
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Github user cloud-fan commented on the issue:
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cc @gatorsmile @rdblue @sameeragarwal
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GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/20466
[SPARK-23293][SQL] fix data source v2 self join
## What changes were proposed in this pull request?
`DataSourceV2Relation` should extend `MultiInstanceRelation`, to take care
of self-joi
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/19219
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Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/20463
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Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/20361
Not a bug fix. This is not qualified for merging to Spark 2.3
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