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--- Diff: python/run-tests.py ---
@@ -151,6 +151,38 @@ def parse_opts():
return opts
+def _check_dependencies(python_exec, modul
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Github user wzhfy commented on the issue:
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Can we specialize this CTAS case? For data changing commands like INSERT, I
think we should remove the stats if auto update is disabled, because the
previous stats are inaccurate after the insertion.
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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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@@ -34,16 +34,12 @@ object CommandUtils extends Logging {
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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 a
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thanks, merging to master/2.3!
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import scala.co
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Thanks! merging to master/2.3.
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Thanks! merging to master/2.3.
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Github user cloud-fan commented on the issue:
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adding a default method to a java interface is binary compatible, I'm
merging this to master only, to follow @rxin 's suggestion, thanks!
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@cloud-fan thanks a lot for ping. LGTM
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Can one of the admins verify this patch?
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Can one of the admins verify this patch?
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[SPARK-22751][ML]Improve ML RandomForest shuffle performance
## What changes were proposed in this pull request?
As I mentioned in
[SPARK-22751](https://issues.apache.org/jira/browse/SPAR
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@cloud-fan, will try it. Thank you sincerely.
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I've not worked in the logging stuff yet, feel free to take it, thanks!
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retest this please
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LGTM
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> My proposal is, pandas and pyarrow should be a hard requirement for our
jenkins, to make sure the features are well tested.
If this is a goal, I think another simple way is just to use
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Thank you for bearing with me @cloud-fan. I agree with it.
BTW, are you working on the logging thing BTW? I was thinking the simplest
way to check is just print out once if PyArrow / Pan
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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 panda
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LGTM
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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:
https://github.com/apache
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Yup, explicitly logging sounds fine for now so that we can easily check.
> I do prefer to have these conditional skips removed because sometimes it
is hard to tell if everything passed
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test("read/write") {
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val knownItem = data.se
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val data = ratings.toDF
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Merged to master / branch-2.3. Thanks @yanboliang !
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Jenkins, retest this please.
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