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GitHub user wangmiao1981 opened a pull request:
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[SPARK-16883][SparkR]:SQL decimal type is not properly cast to number when
collecting SparkDataFrame
## What changes were proposed in this pull request?
(Please fill in changes propos
GitHub user zero323 opened a pull request:
https://github.com/apache/spark/pull/14614
[SPARK-17027][ML] Avoid integer overflow in PolynomialExpansion.getPolySize
## What changes were proposed in this pull request?
Replaces custom choose function with
o.a.commons.math3.Combi
Github user dongjoon-hyun commented on the issue:
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Oh, I think you are working on that transition somewhere else.
BTW, what about other tests? If you have a plan to enrich
SQLQueryTestSuite, I prefer to do all of them in a single PR during
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Github user yhuai commented on the issue:
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Done
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Github user rxin commented on the issue:
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Do you think you can create a test file for window functions in the new
SQLQueryTestSuite along with this fix?
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--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
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@@ -1473,6 +1473,94 @@ class SQLQuerySuite extends QueryTes
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Github user JoshRosen commented on the issue:
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Actually, nevermind: we should include `-Phive-thriftserver` there as well
because I think it's strictly additive and that artifact _already_ has
`-Phive`. Mind adding the flag there, too, then we
Github user JoshRosen commented on the issue:
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The changes here LGTM, but I wonder if we should also update the binary
release artifact publishing code at
https://github.com/yhuai/spark/blob/b5ccf1aad43d889a06daec3c80dd447cd0166105/dev/create-
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oh I see, sorry, I'll just close this one.
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/cc @rxin @marmbrus
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Github user keypointt commented on the issue:
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because `metrics.accuracy`, `metrics.precision`, `metrics.recall` and
`metrics.fMeasure` are exactly the same value, no point to check the difference
(always 0) with delta
https://github.com/apac
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--- Diff:
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@@ -358,6 +376,109 @@ private[mesos] trait MesosSchedule
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GitHub user zsxwing opened a pull request:
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[SPARK-17028][Repl]Backport SI-9734 for Scala 2.10
## What changes were proposed in this pull request?
Backport [SI-9734](https://github.com/scala/scala/pull/5084) to Spark Scala
2.10 shel
Github user srowen commented on the issue:
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Why are you removing this? these deprecated methods still need to be tested.
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Github user BryanCutler commented on the issue:
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Yeah, I should have made the logs consistent with interpolation.. another
time then - thanks @vanzin!!!
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Looks fine (small style nit but not worth another review round). I'm a
little curious about why it happens - I thought that the driver would kill
executors that failed a heartbeat, but that's a separ
Github user vanzin commented on the issue:
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Look good. I'd have used interpolation in the log message instead of
concatenation, but it's not worth it to re-run tests just for that.
Merging to master.
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Rebased to resolve conflicts on `SqlBase.g4`.
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Thank you, @rxin . It's updated.
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--- Diff: sql/core/src/test/resources/sql-tests/inputs/with.sql ---
@@ -0,0 +1,14 @@
+create temporary view t as select * from values 0, 1, 2 as t(i
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--- Diff: sql/core/src/test/resources/sql-tests/inputs/with.sql ---
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Github user petermaxlee commented on the issue:
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Thanks. How about this one? https://github.com/apache/spark/pull/14608 It
takes the approach here but applies to all types for consistency.
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[SPARK-16905] SQL DDL: MSCK REPAIR TABLE (follow-up)
## What changes were proposed in this pull request?
This PR split the the single `createPartitions()` call into smaller
batches, which c
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Anyway, I rebased the branch to resolve the conflict. I checked your case
after rebasing.
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Github user rxin commented on the issue:
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I'm going to merge this in master/2.0.
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thanks
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hey @srowen can you start up a new test?
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Hi, @clockfly .
It is different issue since this PR aims to solve the case of both GROUP BY
and ORDER BY existence.
However, this PR solve that problem too. Your case makes excepti
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Hi, @rxin .
Could you review this PR?
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--- Diff: sql/core/src/test/resources/sql-tests/inputs/literals.sql ---
@@ -0,0 +1,92 @@
+-- Literal parsing
+
+-- null
+select null, Null,
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Thank you, @clockfly . I'll check that!
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