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Ruslan Dautkhanov commented on SPARK-2141:
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Would be gread to have this
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Ruslan Dautkhanov commented on SPARK-11150:
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Will partition-wise join will also be handled by
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Ruslan Dautkhanov commented on SPARK-10935:
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I noticed outer joins. Spark before 1.5 used
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Ruslan Dautkhanov edited comment on SPARK-10935 at 2/6/16 11:16 PM:
I
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Ruslan Dautkhanov commented on SPARK-1:
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Does this affect all OUTER JOINS? I have poor
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Ruslan Dautkhanov commented on SPARK-13335:
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It would be great to have this optimization in.
In
Ruslan Dautkhanov created SPARK-13849:
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Summary: REGEX Column Specification
Key: SPARK-13849
URL: https://issues.apache.org/jira/browse/SPARK-13849
Project: Spark
Issue Type: Wish
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Ruslan Dautkhanov commented on SPARK-12139:
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Please check if
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Ruslan Dautkhanov commented on SPARK-13849:
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Thank you, Sean.
I suspect this is a duplicate of
Ruslan Dautkhanov created SPARK-14017:
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Summary: dataframe.dtypes -> pyspark.sql.types aliases
Key: SPARK-14017
URL: https://issues.apache.org/jira/browse/SPARK-14017
Project: Spark
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Ruslan Dautkhanov commented on SPARK-13866:
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Would be great to have this fix in.
It makes
Ruslan Dautkhanov created SPARK-14166:
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Summary: Add deterministic sampling like in Hive
Key: SPARK-14166
URL: https://issues.apache.org/jira/browse/SPARK-14166
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-13263?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15211047#comment-15211047
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Ruslan Dautkhanov commented on SPARK-13263:
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Would Spark support deterministic sampling too?
Ruslan Dautkhanov created SPARK-15302:
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Summary: Implement FK/PK "rely novalidate" constraints for better
CBO
Key: SPARK-15302
URL: https://issues.apache.org/jira/browse/SPARK-15302
Project:
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Ruslan Dautkhanov updated SPARK-15302:
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Description:
Oracle has "RELY NOVALIDATE" option for constraints.. Could be easier for
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Ruslan Dautkhanov commented on SPARK-15302:
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Yes, it's a feature request for Spark.
See for
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Ruslan Dautkhanov edited comment on SPARK-15302 at 5/13/16 9:45 PM:
Title: Message Title
Ruslan Dautkhanov commented on SPARK-18105
Title: Message Title
Ruslan Dautkhanov commented on SPARK-18105
Title: Message Title
Ruslan Dautkhanov commented on SPARK-18105
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Ruslan Dautkhanov commented on SPARK-19038:
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[~jerryshao] PR 16482 is for a different issue
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Ruslan Dautkhanov updated SPARK-19588:
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Summary: Allow putting keytab file to HDFS location specified in
spark.yarn.keytab
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Ruslan Dautkhanov commented on SPARK-16026:
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[~ioana-delaney], (y)
> Cost-based Optimizer
Ruslan Dautkhanov created SPARK-19588:
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Summary: Allow putting keytab files specified by
Key: SPARK-19588
URL: https://issues.apache.org/jira/browse/SPARK-19588
Project: Spark
Issue
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Ruslan Dautkhanov commented on SPARK-19038:
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Thank you [~jerryshao]
> Can't find keytab file
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Ruslan Dautkhanov edited comment on SPARK-19038 at 2/14/17 4:12 AM:
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Ruslan Dautkhanov commented on SPARK-19588:
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Our corporate sshd's are integrated with Active
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Ruslan Dautkhanov commented on SPARK-19038:
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Another possible workaround is to pass principal
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Ruslan Dautkhanov commented on SPARK-19588:
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driver/yarn#client holds keytab just to distribute
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Ruslan Dautkhanov commented on SPARK-19588:
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Got it. Thanks [~vanzin]
> Allow putting keytab
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Ruslan Dautkhanov commented on SPARK-16026:
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It would be great to resolve SPARK-15302 as a
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Ruslan Dautkhanov edited comment on SPARK-17076 at 11/15/16 1:19 AM:
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Ruslan Dautkhanov commented on SPARK-17076:
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HIVE-13076 added FK constraint to Hive / HMS.
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Ruslan Dautkhanov commented on SPARK-5493:
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Thanks again [~vanzin] for the feedback, please check
Ruslan Dautkhanov created SPARK-19143:
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Summary: API in Spark for distributing new delegation tokens
(Improve delegation token handling in secure clusters)
Key: SPARK-19143
URL:
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Ruslan Dautkhanov commented on SPARK-8007:
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Is spark__partition__id available in PySpark too?
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Ruslan Dautkhanov edited comment on SPARK-8007 at 12/3/16 7:34 PM:
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Is
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Ruslan Dautkhanov commented on SPARK-5493:
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Thank you [~vanzin]!
I guess a forwardable and/or
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Ruslan Dautkhanov edited comment on SPARK-5493 at 1/6/17 6:19 PM:
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Ruslan Dautkhanov commented on SPARK-5493:
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{quote}There might be ways to hack support for that
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Ruslan Dautkhanov commented on SPARK-5158:
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I think one reason for that could be that one user
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Ruslan Dautkhanov commented on SPARK-5493:
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Did you figure this out? Is this possible to use
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Ruslan Dautkhanov commented on SPARK-12837:
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Yep, we continue to see this issue in Spark 2..
>
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Ruslan Dautkhanov commented on SPARK-12837:
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It might be a bug in broadcast join.
Following
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Ruslan Dautkhanov edited comment on SPARK-12837 at 4/10/17 9:29 PM:
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Ruslan Dautkhanov commented on SPARK-12837:
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[~cloud_fan] I didn't realize torrent broadcast
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Ruslan Dautkhanov edited comment on SPARK-21274 at 7/28/17 3:46 PM:
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Ruslan Dautkhanov commented on SPARK-21274:
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[~viirya], yes it returns {noformat}[1, 2,
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Ruslan Dautkhanov edited comment on SPARK-21274 at 7/28/17 3:47 PM:
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Ruslan Dautkhanov commented on SPARK-21274:
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[~viirya], you're right. I've checked now on both
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Ruslan Dautkhanov edited comment on SPARK-21657 at 8/15/17 4:59 PM:
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Ruslan Dautkhanov commented on SPARK-21657:
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Thank you [~maropu] and [~viirya], that commit is
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Ruslan Dautkhanov commented on SPARK-21657:
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[~bjornjons] confirms this problem pertains to
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Ruslan Dautkhanov updated SPARK-21657:
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Description:
It can take up to half a day to explode a modest-sized nested collection
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Ruslan Dautkhanov updated SPARK-21274:
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Comment: was deleted
(was: [~rxin], I wish I could. We only use PySpark and SQL API to
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Ruslan Dautkhanov commented on SPARK-13534:
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So Apache Arrow would currently be available only
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Ruslan Dautkhanov commented on SPARK-15703:
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It breaks spark dynamic allocation too - Spark
Ruslan Dautkhanov created SPARK-21460:
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Summary: Spark dynamic allocation breaks when ListenerBus event
queue runs full
Key: SPARK-21460
URL: https://issues.apache.org/jira/browse/SPARK-21460
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Ruslan Dautkhanov commented on SPARK-15703:
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[~tgraves], filed SPARK-21460. Thanks.
> Make
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Ruslan Dautkhanov commented on SPARK-21460:
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[~zsxwing], according to [~tgraves] spark dynamic
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Ruslan Dautkhanov commented on SPARK-21460:
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[~zsxwing] can we keep this jira open?
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Ruslan Dautkhanov commented on SPARK-21460:
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[~Dhruve Ashar], I can email logs to you. Although
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Ruslan Dautkhanov updated SPARK-21488:
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Description:
It would be great to make saveAsTable() return dataframe of created
Ruslan Dautkhanov created SPARK-21488:
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Summary: Make saveAsTable() return dataframe of created table
Key: SPARK-21488
URL: https://issues.apache.org/jira/browse/SPARK-21488
Project: Spark
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Ruslan Dautkhanov updated SPARK-21488:
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Summary: Make saveAsTable() and createOrReplaceTempView() return dataframe
of created
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Ruslan Dautkhanov commented on SPARK-13534:
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[~bryanc], thanks for the feedback. We sometimes
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Ruslan Dautkhanov commented on SPARK-21488:
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Makes sense [~zsxwing], thank you.
> Make
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Ruslan Dautkhanov updated SPARK-21488:
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Target Version/s: 3.0.0
> Make saveAsTable() and createOrReplaceTempView() return
Ruslan Dautkhanov created SPARK-21274:
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Summary: Implement EXCEPT ALL and INTERSECT ALL
Key: SPARK-21274
URL: https://issues.apache.org/jira/browse/SPARK-21274
Project: Spark
Issue Type:
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Ruslan Dautkhanov commented on SPARK-13225:
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Please consider this approach to implement
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Ruslan Dautkhanov commented on SPARK-21274:
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For INTERSECT ALL I was also experimenting with
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Ruslan Dautkhanov commented on SPARK-21274:
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[~rxin], I wish I could. We only use PySpark and
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Ruslan Dautkhanov commented on SPARK-16803:
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Any chance `saveAsTable` can be reverted to use
Ruslan Dautkhanov created SPARK-21657:
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Summary: Spark has exponential time complexity to explode(array of
structs)
Key: SPARK-21657
URL: https://issues.apache.org/jira/browse/SPARK-21657
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Ruslan Dautkhanov updated SPARK-21657:
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Description:
It can take up to half a day to explode a modest-sizes nested collection
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Ruslan Dautkhanov updated SPARK-21657:
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Attachment: ExponentialTimeGrowth.PNG
nested-data-generator-and-test.py
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Ruslan Dautkhanov updated SPARK-21657:
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Description:
It can take up to half a day to explode a modest-sizes nested collection
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Ruslan Dautkhanov commented on SPARK-21657:
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Absolutely, this is a real use case.
We have a
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Ruslan Dautkhanov updated SPARK-21657:
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Labels: cache caching collections nested_types performance pyspark sparksql
sql (was:
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Ruslan Dautkhanov commented on SPARK-15214:
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[~hvanhovell], please have a look at SPARK-21657
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Ruslan Dautkhanov commented on SPARK-15703:
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We keep running into this issue too - would be
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Ruslan Dautkhanov edited comment on SPARK-15703 at 5/23/17 10:53 PM:
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Ruslan Dautkhanov commented on SPARK-20776:
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Thank you [~joshrosen]. Would it be possible to
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Ruslan Dautkhanov commented on SPARK-18838:
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my 2 cents. Would be nice to explore idea of
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Ruslan Dautkhanov commented on SPARK-16441:
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We did not have
Ruslan Dautkhanov created SPARK-22081:
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Summary: Generalized Reduced Error Logistic Regression
Key: SPARK-22081
URL: https://issues.apache.org/jira/browse/SPARK-22081
Project: Spark
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Ruslan Dautkhanov updated SPARK-22081:
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Attachment: RELR.GIF
> Generalized Reduced Error Logistic Regression
>
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Ruslan Dautkhanov updated SPARK-22081:
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Description:
Our SAS gurus are saying they would love to have "Generalized Reduced
Ruslan Dautkhanov created SPARK-21931:
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Summary: add LNNVL function
Key: SPARK-21931
URL: https://issues.apache.org/jira/browse/SPARK-21931
Project: Spark
Issue Type: New Feature
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Ruslan Dautkhanov updated SPARK-21931:
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Attachment: Capture1.JPG
> add LNNVL function
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Ruslan Dautkhanov updated SPARK-21931:
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Description:
Purpose
LNNVL provides a concise way to evaluate a condition when one or
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Ruslan Dautkhanov updated SPARK-21931:
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Description:
Purpose
LNNVL provides a concise way to evaluate a condition when one or
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https://issues.apache.org/jira/browse/SPARK-21931?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16155797#comment-16155797
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Ruslan Dautkhanov commented on SPARK-21931:
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Example 1)
{code:sql}
select * from products
Ruslan Dautkhanov created SPARK-21978:
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Summary: schemaInference option not to convert strings with
leading zeros to int/long
Key: SPARK-21978
URL: https://issues.apache.org/jira/browse/SPARK-21978
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https://issues.apache.org/jira/browse/SPARK-21213?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16208027#comment-16208027
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Ruslan Dautkhanov commented on SPARK-21213:
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Would the partition-level stats be compatible with
Ruslan Dautkhanov created SPARK-22505:
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Summary: toDF() / createDataFrame() type inference doesn't work as
expected
Key: SPARK-22505
URL: https://issues.apache.org/jira/browse/SPARK-22505
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https://issues.apache.org/jira/browse/SPARK-22505?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ruslan Dautkhanov updated SPARK-22505:
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Description:
{code}
df =
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Ruslan Dautkhanov updated SPARK-22505:
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Description:
{code}
df =
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Ruslan Dautkhanov updated SPARK-22505:
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Description:
{code}
df =
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Ruslan Dautkhanov commented on SPARK-22505:
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that's great. thank you [~hyukjin.kwon]
> toDF()
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