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Marco Gaido commented on SPARK-26308:
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I think that works. Maybe it is not a "perfect" solution but
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Marco Gaido commented on SPARK-26308:
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I checked but it doesn't work because the cast is added
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Marco Gaido commented on SPARK-26224:
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[~viirya] that is true, but here it comes a question: do we
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Marco Gaido commented on SPARK-26215:
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[~cloud_fan] thanks for pinging me. I agree on putting a
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Marco Gaido commented on SPARK-26214:
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You can just use the {{broadcast}} function from
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Marco Gaido updated SPARK-23179:
Issue Type: Sub-task (was: Improvement)
Parent: SPARK-26217
> Support option to throw
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Marco Gaido updated SPARK-26215:
Issue Type: Sub-task (was: Improvement)
Parent: SPARK-26217
> define reserved keywords
Marco Gaido created SPARK-26218:
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Summary: Throw exception on overflow for integers
Key: SPARK-26218
URL: https://issues.apache.org/jira/browse/SPARK-26218
Project: Spark
Issue Type: Sub-task
Marco Gaido created SPARK-26217:
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Summary: Compliance to SQL standard (SQL:2011)
Key: SPARK-26217
URL: https://issues.apache.org/jira/browse/SPARK-26217
Project: Spark
Issue Type: Umbrella
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Marco Gaido commented on SPARK-26242:
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You can set {{spark.ui.proxyBase}} or the proxy can set the
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Marco Gaido commented on SPARK-25959:
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[~srowen] what do you think about backporting this? Maybe 2.2
Marco Gaido created SPARK-26127:
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Summary: Remove deprecated setImpurity from
GBTClassificationModel, DecisionTreeRegressionModel, GBTRegressionModel,
RandomForestRegressionModel
Key: SPARK-26127
URL:
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https://issues.apache.org/jira/browse/SPARK-26127?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Marco Gaido updated SPARK-26127:
Summary: Remove deprecated setImpurity from tree regression and
classification models (was:
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Marco Gaido updated SPARK-26127:
Summary: Remove deprecated setters from tree regression and classification
models (was: Remove
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Marco Gaido updated SPARK-26127:
Description: Many {{set***}} methods are present for the models of
regression and classification
Marco Gaido created SPARK-26535:
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Summary: Parsing literals as DOUBLE instead of DECIMAL
Key: SPARK-26535
URL: https://issues.apache.org/jira/browse/SPARK-26535
Project: Spark
Issue Type:
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Marco Gaido commented on SPARK-26458:
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Which is the issue you are encountering? Can you provide a
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Marco Gaido updated SPARK-25420:
Priority: Major (was: Critical)
> Dataset.count() every time is different.
>
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Marco Gaido updated SPARK-25420:
Labels: SQL (was: SQL correctness)
> Dataset.count() every time is different.
>
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Marco Gaido updated SPARK-25420:
Labels: SQL correctness (was: )
> Dataset.count() every time is different.
>
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Marco Gaido commented on SPARK-25420:
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Please do not use Critical/Blocker as they are reserved for
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Marco Gaido edited comment on SPARK-25420 at 9/13/18 8:51 AM:
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Please do
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Marco Gaido commented on SPARK-25420:
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I think the reason here is that since we don't enforce any
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Marco Gaido commented on SPARK-24315:
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[~joeyfezster] it has been a while ago, so I may be wrong,
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Marco Gaido commented on SPARK-25454:
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[~bersprockets] you're right, the only "wrong" thing of your
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Marco Gaido commented on SPARK-22036:
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[~bersprockets] first of all thank you for reporting this and
Marco Gaido created SPARK-25457:
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Summary: IntegralDivide (div) should not always return long
Key: SPARK-25457
URL: https://issues.apache.org/jira/browse/SPARK-25457
Project: Spark
Issue Type:
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Marco Gaido commented on SPARK-22036:
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[~bersprockets] I created SPARK-25454 for tracking since I
Marco Gaido created SPARK-25454:
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Summary: Division between operands with negative scale can cause
precision loss
Key: SPARK-25454
URL: https://issues.apache.org/jira/browse/SPARK-25454
Project: Spark
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Marco Gaido commented on SPARK-27287:
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I think the problem here is that the configuration are copied
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Marco Gaido commented on SPARK-27283:
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[~Mats_SX] another issue which could happen using Decimal
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Marco Gaido updated SPARK-27282:
Priority: Major (was: Blocker)
> Spark incorrect results when using UNION with GROUP BY clause
>
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Marco Gaido commented on SPARK-27282:
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Please do not use Blocker/Critical as they are reserved for
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Marco Gaido commented on SPARK-27283:
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{quote}
I guess I'm mostly frustrated that the SQL standard
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Marco Gaido commented on SPARK-26988:
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This seems indeed an issue for any property set using
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Marco Gaido commented on SPARK-26974:
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Can you please try a newer Spark version (2.4.0)? If the
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https://issues.apache.org/jira/browse/SPARK-27018?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16781558#comment-16781558
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Marco Gaido commented on SPARK-27018:
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[~pkolaczk] thanks for reporting the issue. Spark works with
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Marco Gaido commented on SPARK-27018:
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First the issue is fixed on master and then it is backported
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Marco Gaido commented on SPARK-26947:
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Cloud you also please provide the heap dump of the JVM? You
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Marco Gaido commented on SPARK-26996:
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Thanks [~dongjoon]!
> Scalar Subquery not handled properly
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Marco Gaido commented on SPARK-26996:
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I have not been able to reproduce on current master though...
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Marco Gaido updated SPARK-26996:
Component/s: (was: Spark Core)
SQL
> Scalar Subquery not handled properly in
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Marco Gaido commented on SPARK-27018:
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The PeriodicCheckpointer is still there in master, you can
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Marco Gaido updated SPARK-27193:
Priority: Trivial (was: Major)
> CodeFormatter should format multi comment lines correctly
>
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Marco Gaido commented on SPARK-27089:
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You can set:
Marco Gaido created SPARK-27243:
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Summary: RuleExecutor throws exception when dumping time spent
with no rule executed
Key: SPARK-27243
URL: https://issues.apache.org/jira/browse/SPARK-27243
Project:
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https://issues.apache.org/jira/browse/SPARK-26911?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16770964#comment-16770964
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Marco Gaido commented on SPARK-26911:
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May you please check that current master is still affected?
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Marco Gaido commented on SPARK-26881:
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This may have been fixed/improved by SPARK-26228, could you
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Marco Gaido commented on SPARK-26829:
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You can set the output column name and you can rename it as
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Marco Gaido commented on SPARK-26893:
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Actually this was done intentionally in order to avoid
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Marco Gaido commented on SPARK-26894:
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It will be assigned once the PR is merged. Thanks.
> Fix
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Marco Gaido commented on SPARK-26752:
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I agree with you [~hyukjin.kwon]. Actually I'd rather propose
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Marco Gaido commented on SPARK-26779:
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I'd say this is most likely just a duplicate of SPARK-23731.
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Marco Gaido commented on SPARK-25420:
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[~jeffrey.mak] [~kabhwan] I agree that your case seems not
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Marco Gaido commented on SPARK-25420:
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[~jeffrey.mak] I cannot reproduce your issue on current
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Marco Gaido resolved SPARK-26782.
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Resolution: Duplicate
> Wrong column resolved when joining twice with the same dataframe
>
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Marco Gaido commented on SPARK-26782:
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This is a duplicate of many others. I also started a thread
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Marco Gaido commented on SPARK-26767:
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IIRC there was a similar JIRA reported. May you please try in
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Marco Gaido edited comment on SPARK-26767 at 1/29/19 11:13 AM:
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IIRC there
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Marco Gaido commented on SPARK-18484:
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[~bonazzaf] please do not delete comments, as they may be
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Marco Gaido commented on SPARK-27278:
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[~huonw] I think the point is: in the existing case which is
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Marco Gaido commented on SPARK-26218:
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[~rxin] I see that. But the reason for this are:
- the
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Marco Gaido commented on SPARK-24149:
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[~Dhruve Ashar] the use case for this change, for instance,
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Marco Gaido commented on SPARK-24149:
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That's true, the point is: if you want to access a different
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Marco Gaido commented on SPARK-27820:
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+1 for [~hyukjin.kwon]'s comment.
> case insensitive
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Marco Gaido commented on SPARK-28135:
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[~Tonix517] tickets are assigned only once the PR is merged
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Marco Gaido commented on SPARK-28060:
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This is a duplicate of SPARK-27768, isn't it? Or better,
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Marco Gaido commented on SPARK-28067:
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I cannot reproduce on master. It always returns null with
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Marco Gaido commented on SPARK-28024:
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[~joshrosen] thanks for linking them, Yes, I did try having
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Marco Gaido commented on SPARK-28067:
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No, it is the same. Are you sure about your configs?
{code}
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Marco Gaido resolved SPARK-27089.
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Resolution: Information Provided
> Loss of precision during decimal division
>
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Marco Gaido commented on SPARK-26182:
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Actually you just need to mark it {{asNondetermistic}} to
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Marco Gaido commented on SPARK-27684:
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I agree on this too.
> Reduce ScalaUDF conversion overheads
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Marco Gaido resolved SPARK-27685.
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Resolution: Duplicate
> `union` doesn't promote non-nullable columns of struct to nullable
>
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Marco Gaido commented on SPARK-27685:
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This is a duplicate of SPARK-26812.
> `union` doesn't
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Marco Gaido commented on SPARK-27761:
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Yes, I think this is a good idea IMHO. The behavior by
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Marco Gaido commented on SPARK-27684:
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I can try and work on it, but most likely I will start
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Marco Gaido commented on SPARK-27607:
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Hi [~joshrosen], are you working on it? If not I can take it.
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Marco Gaido commented on SPARK-27332:
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[~dzklip] actually Spark was not using the ScalarSubquery
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Marco Gaido commented on SPARK-27612:
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I am not able to reproduce...
{code}
__
/ __/__ ___
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Marco Gaido commented on SPARK-27612:
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I don't have a python3 env, sorry...
> Creating a DataFrame
Marco Gaido created SPARK-28200:
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Summary: Overflow handling in `ExpressionEncoder`
Key: SPARK-28200
URL: https://issues.apache.org/jira/browse/SPARK-28200
Project: Spark
Issue Type: Bug
Marco Gaido created SPARK-28201:
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Summary: Revisit MakeDecimal behavior on overflow
Key: SPARK-28201
URL: https://issues.apache.org/jira/browse/SPARK-28201
Project: Spark
Issue Type: Bug
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Marco Gaido commented on SPARK-28201:
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I'll create a PR for this ASAP.
> Revisit MakeDecimal
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Marco Gaido commented on SPARK-28348:
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There is no cast to `decimal(38, 6)`. The reson why the
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Marco Gaido edited comment on SPARK-28348 at 7/11/19 8:23 AM:
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There is no
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https://issues.apache.org/jira/browse/SPARK-28348?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16882773#comment-16882773
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Marco Gaido commented on SPARK-28348:
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No, I don't think that's a good idea. Setting the result type
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https://issues.apache.org/jira/browse/SPARK-28348?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16883165#comment-16883165
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Marco Gaido commented on SPARK-28348:
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Mmmhyes, you're right.
> Avoid cast twice for decimal
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https://issues.apache.org/jira/browse/SPARK-28324?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16884397#comment-16884397
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Marco Gaido commented on SPARK-28324:
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+1 for [~srowen]'s opinion. I don't think it is a good idea
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https://issues.apache.org/jira/browse/SPARK-28222?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16884412#comment-16884412
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Marco Gaido commented on SPARK-28222:
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[~eneriwrt] do you have a simple repro for this? I can try
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https://issues.apache.org/jira/browse/SPARK-28316?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16884398#comment-16884398
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Marco Gaido commented on SPARK-28316:
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Well, IIUC, this is just the result of Postgres having no
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https://issues.apache.org/jira/browse/SPARK-28222?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16877267#comment-16877267
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Marco Gaido commented on SPARK-28222:
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Mmmmh, there has been a bug fix for it (see SPARK-26721), but
Marco Gaido created SPARK-28235:
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Summary: Decimal sum return type
Key: SPARK-28235
URL: https://issues.apache.org/jira/browse/SPARK-28235
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-28186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16876357#comment-16876357
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Marco Gaido commented on SPARK-28186:
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Do you know of any SQL BD with the behavior you are
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https://issues.apache.org/jira/browse/SPARK-28067?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16880700#comment-16880700
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Marco Gaido commented on SPARK-28067:
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I cannot reproduce in 2.4.0 either:
{code}
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https://issues.apache.org/jira/browse/SPARK-27287?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16823876#comment-16823876
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Marco Gaido commented on SPARK-27287:
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[~dharmesh.kakadia] the point is: if you set a config on theĀ
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https://issues.apache.org/jira/browse/SPARK-28186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16876509#comment-16876509
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Marco Gaido commented on SPARK-28186:
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You're right with that. The equivalent in Postgres is
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https://issues.apache.org/jira/browse/SPARK-28186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16875447#comment-16875447
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Marco Gaido commented on SPARK-28186:
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This is the right behavior AFAIK. Why are you saying it is
Marco Gaido created SPARK-28610:
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Summary: Support larger buffer for sum of long
Key: SPARK-28610
URL: https://issues.apache.org/jira/browse/SPARK-28610
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-28611?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16899585#comment-16899585
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Marco Gaido commented on SPARK-28611:
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Mmmhthat's weird! How can you get a different result than
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