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Github user windpiger commented on the issue:
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UTC timestamp can translate to different zone's local time,which the user
see from the history ui.
It is reasonable to return UTC/GMT time to the user browser, and show it by
translate to the
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Github user scwf commented on the issue:
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@YuhuWang2002
We should limit the use case for outer join:
For left outer join, such as A left join B, this implementation now can not
handle the case of skew of table B. That's because the
Github user jiangxb1987 commented on the issue:
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ping @hvanhovell
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Github user mozinrat commented on the issue:
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@Earne is something relevant merged in spark 2.0.1, do we have FIFO
eviction policy?.
If yes how can I leverage it?
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Github user yanboliang commented on the issue:
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@sethah Yeah, I totally agree we can get around the issues I mentioned and
make ```mllib.GaussianMixture``` call into ```ml.GaussianMixture```. But I'd
prefer more to the current approach based o
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--- Diff:
mllib/src/test/scala/org/apache/spark/ml/clustering/GaussianMixtureSuite.scala
---
@@ -130,4 +230,29 @@ object GaussianMixtureSuite {
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--- Diff: python/pyspark/ml/clustering.py ---
@@ -95,15 +95,10 @@ class GaussianMixture(JavaEstimator, HasFeaturesCol,
HasPredictionCol, HasMaxIte
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--- Diff:
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@@ -350,6 +458,145 @@ object GaussianMixture extends
DefaultParam
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Github user ueshin commented on the issue:
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I sent a new PR #15808. Thanks.
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/ExternalCatalogSuite.scala
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@@ -591,25 +673,25 @@ abstract class ExternalCa
GitHub user ueshin opened a pull request:
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[SPARK-17703][SQL][BACKPORT-2.0] Add unnamed version of addReferenceObj for
minor objects.
## What changes were proposed in this pull request?
This is a backport of #15276.
There a
Github user WangTaoTheTonic commented on the issue:
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thanks for the fix.
This patch parse the timestamp instead of the Date String returned. The
REST api still return the GMT time, which is insistent with UI showing.
I've goog
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Github user wzhfy commented on the issue:
https://github.com/apache/spark/pull/15012
The issue is resolved after merging
https://github.com/apache/spark/pull/15024, so I'll close this pr.
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Github user cloud-fan commented on the issue:
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Sorry I haven't noticed that https://github.com/apache/spark/pull/15693 was
merged. Then this PR becomes a cleanup, not a bug fix. But I'd like to keep the
regression test as it's from another JIR
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Github user ueshin commented on the issue:
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Oh, I see, wait for a while.
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Github user rxin commented on the issue:
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Please do! I was hoping you'd do it...!
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[SPARK-18147][SQL] do not fail for very complex aggregator result type
## What changes were proposed in this pull request?
In `TypedAggregateExpression.evaluateExpression`, we may create
Github user ueshin commented on the issue:
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@davies @rxin Should I send a PR to backport this to `branch-2.0` if you
don't have time?
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Github user rxin commented on the issue:
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One testing technique we have used internally at Databricks (not for Spark)
is to use random data generator to generate a bunch of data, and run through
the reference implementation to get the results,
Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/15659
@viirya: the pip install sanity check is done assuming it was installed
into an activated virtual env of just that Python version. You can see how to
use it in 'run-pip-tests-2'. If you have multipl
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