Github user 351zyf closed the pull request at:
https://github.com/apache/spark/pull/22891
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GitHub user 351zyf opened a pull request:
https://github.com/apache/spark/pull/22891
SPARK-25881
## What changes were proposed in this pull request?
https://github.com/apache/spark/pull/22888
decimal type should consider as a number but not object (string
Github user 351zyf closed the pull request at:
https://github.com/apache/spark/pull/22888
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Github user 351zyf commented on the issue:
https://github.com/apache/spark/pull/22888
OK
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Github user 351zyf commented on the issue:
https://github.com/apache/spark/pull/22888
> Then, you can convert the type into double or floats in Spark DataFrame.
This is super easily able to work around at Pandas DataFrame or Spark's
DataFrame. I don't think we should
Github user 351zyf commented on the issue:
https://github.com/apache/spark/pull/22888
and this also have no effect on timestamp values.
tested.
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Github user 351zyf commented on the issue:
https://github.com/apache/spark/pull/22888
> I think you can just manually convert from Pandas DataFrame, no?
If I'm using function toPandas, I dont think decimal to object is right.
Isn't decimal values usual
GitHub user 351zyf opened a pull request:
https://github.com/apache/spark/pull/22888
SPARK-25881
add parametere coerce_float
https://issues.apache.org/jira/browse/SPARK-25881
## What changes were proposed in this pull request?
when using pyspark dataframe.toPandas
Github user 351zyf commented on the issue:
https://github.com/apache/spark/pull/16485
But the time display on history server web UI is not correct. It is 8 hours
eralier than the actual time here.
Am I using the wrong configuration ?
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GitHub user 351zyf opened a pull request:
https://github.com/apache/spark/pull/16485
[SPARK-19099] correct the wrong time display in history server web UI
JIRA Issue: https://issues.apache.org/jira/browse/SPARK-19099
Correct the wrong job start/end time display in spark
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