Maxim Gekk created SPARK-30826:
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Summary: LIKE returns wrong result from external table using
parquet
Key: SPARK-30826
URL: https://issues.apache.org/jira/browse/SPARK-30826
Project: Spark
Maxim Gekk created SPARK-30808:
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Summary: Thrift server returns wrong timestamps/dates strings
before 1582
Key: SPARK-30808
URL: https://issues.apache.org/jira/browse/SPARK-30808
Project: Spark
Maxim Gekk created SPARK-30793:
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Summary: Wrong truncations of timestamps before the epoch to
minutes and seconds
Key: SPARK-30793
URL: https://issues.apache.org/jira/browse/SPARK-30793
Project: Spark
Maxim Gekk created SPARK-30788:
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Summary: Support `SimpleDateFormat` and `FastDateFormat` as legacy
date/timestamp formatters
Key: SPARK-30788
URL: https://issues.apache.org/jira/browse/SPARK-30788
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Maxim Gekk commented on SPARK-30687:
This feature will come with Spark 3.0
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Maxim Gekk edited comment on SPARK-30767 at 2/9/20 9:08 PM:
The default
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Maxim Gekk commented on SPARK-30767:
Also 2.4.4 supports only `SSS` for second fractions. That was
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Maxim Gekk commented on SPARK-30767:
The default timestamp pattern in JSON datasource specifies only
Maxim Gekk created SPARK-30766:
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Summary: Wrong truncation of old timestamps to hours and days
Key: SPARK-30766
URL: https://issues.apache.org/jira/browse/SPARK-30766
Project: Spark
Issue Type:
Maxim Gekk created SPARK-30760:
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Summary: Port `millisToDays` and `daysToMillis` on Java 8 time API
Key: SPARK-30760
URL: https://issues.apache.org/jira/browse/SPARK-30760
Project: Spark
Issue
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Maxim Gekk updated SPARK-30759:
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Priority: Minor (was: Major)
> The cache in StringRegexExpression is not initialized for foldable
Maxim Gekk created SPARK-30759:
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Summary: The cache in StringRegexExpression is not initialized for
foldable patterns
Key: SPARK-30759
URL: https://issues.apache.org/jira/browse/SPARK-30759
Project:
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Maxim Gekk updated SPARK-30759:
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Attachment: Screen Shot 2020-02-08 at 22.45.50.png
> The cache in StringRegexExpression is not
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Maxim Gekk commented on SPARK-30740:
This is because of the special *if*
Maxim Gekk created SPARK-30754:
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Summary: Reuse results of floorDiv in calculations of floorMod in
DateTimeUtils
Key: SPARK-30754
URL: https://issues.apache.org/jira/browse/SPARK-30754
Project: Spark
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Maxim Gekk resolved SPARK-30730.
Resolution: Won't Fix
> Wrong results of `converTz` for different session and system time zones
>
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Maxim Gekk commented on SPARK-30730:
I am going to close this ticket w.r.t
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Maxim Gekk commented on SPARK-30752:
[~dongjoon] FYI, 2.4 has the bug.
> Wrong result of
Maxim Gekk created SPARK-30752:
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Summary: Wrong result of to_utc_timestamp() on daylight saving day
Key: SPARK-30752
URL: https://issues.apache.org/jira/browse/SPARK-30752
Project: Spark
Issue
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Maxim Gekk commented on SPARK-30730:
[~srowen] Since Spark 2.2, CAST uses the session time zone. In
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Maxim Gekk commented on SPARK-30730:
[~cloud_fan] [~srowen] [~hyukjin.kwon] Please, have a look at
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Maxim Gekk updated SPARK-30730:
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Description:
Currently, DateTimeUtils.convertTz() assumes that timestamp strings are casted
to
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Maxim Gekk commented on SPARK-30730:
[~dongjoon] FYI. 2.4.x may have this issue because CAST uses
Maxim Gekk created SPARK-30730:
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Summary: Wrong results of `converTz` for different session and
system time zones
Key: SPARK-30730
URL: https://issues.apache.org/jira/browse/SPARK-30730
Project: Spark
Maxim Gekk created SPARK-30725:
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Summary: Make all legacy SQL configs as internal configs
Key: SPARK-30725
URL: https://issues.apache.org/jira/browse/SPARK-30725
Project: Spark
Issue Type:
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Maxim Gekk commented on SPARK-30668:
Behind of the removed config
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Maxim Gekk commented on SPARK-30668:
> as a bug introduced by a new improvement patch.
Don't
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Maxim Gekk edited comment on SPARK-30668 at 2/2/20 7:47 PM:
[~dongjoon] I
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Maxim Gekk edited comment on SPARK-30668 at 2/2/20 7:40 PM:
[~dongjoon] I
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Maxim Gekk commented on SPARK-30668:
[~dongjoon] I have found the reason
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Maxim Gekk edited comment on SPARK-30668 at 2/2/20 6:51 PM:
[~dongjoon]
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Maxim Gekk commented on SPARK-30668:
[~dongjoon] Output of your example is surprised - it doesn't
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Maxim Gekk edited comment on SPARK-30696 at 2/1/20 5:28 AM:
[~dongjoon] We
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Maxim Gekk commented on SPARK-30696:
[~dongjoon] We have different default time zones, maybe it
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Maxim Gekk commented on SPARK-30696:
The issue can be reproduced when DateTimeUtils functions are
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Maxim Gekk commented on SPARK-30696:
[~dongjoon] FYI
> Wrong result of the combination of
Maxim Gekk created SPARK-30696:
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Summary: Wrong result of the combination of from_utc_timestamp and
to_utc_timestamp
Key: SPARK-30696
URL: https://issues.apache.org/jira/browse/SPARK-30696
Project:
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Maxim Gekk updated SPARK-30678:
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Component/s: (was: SQL)
MLlib
> Eliminate warnings from deprecated
Maxim Gekk created SPARK-30678:
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Summary: Eliminate warnings from deprecated
BisectingKMeansModel.computeCost
Key: SPARK-30678
URL: https://issues.apache.org/jira/browse/SPARK-30678
Project: Spark
Maxim Gekk created SPARK-30676:
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Summary: Eliminate warnings from deprecated constructors of
java.lang.Integer and java.lang.Double
Key: SPARK-30676
URL: https://issues.apache.org/jira/browse/SPARK-30676
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Maxim Gekk commented on SPARK-30668:
We can try to revert this
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Maxim Gekk edited comment on SPARK-30668 at 1/29/20 8:43 AM:
-
[~marmbrus]
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Maxim Gekk commented on SPARK-30668:
If [~marmbrus] develops something new, he could use correct
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Maxim Gekk commented on SPARK-30668:
> This is not mentioned in the migration guide.
It is
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Maxim Gekk commented on SPARK-30668:
Date/timestamp parsing is based on Java 8 DateTimeFormat in
Maxim Gekk created SPARK-30648:
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Summary: Support filters pushdown in JSON datasource
Key: SPARK-30648
URL: https://issues.apache.org/jira/browse/SPARK-30648
Project: Spark
Issue Type:
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Maxim Gekk edited comment on SPARK-30632 at 1/24/20 9:12 PM:
-
Spark 2.4 and
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Maxim Gekk commented on SPARK-30632:
Spark 2.4 and earlier versions use SimpleDateFormat to parse
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Maxim Gekk commented on SPARK-30625:
I have implemented the feature but I am not sure it is useful.
Maxim Gekk created SPARK-30625:
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Summary: Add `escapeChar` parameter to the `like` function
Key: SPARK-30625
URL: https://issues.apache.org/jira/browse/SPARK-30625
Project: Spark
Issue Type:
Maxim Gekk created SPARK-30606:
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Summary: Applying the `like` function with 2 parameters fails
Key: SPARK-30606
URL: https://issues.apache.org/jira/browse/SPARK-30606
Project: Spark
Issue Type:
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Maxim Gekk commented on SPARK-30599:
> Or I wonder if we can make the logging less noisy too.
We
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Maxim Gekk updated SPARK-30599:
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Description:
The LogAppender has a limit for the number of logged events. By default, it is
100
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Maxim Gekk updated SPARK-30599:
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Description:
The LogAppender has a limit for the number of logged event. By default, it is
100.
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Maxim Gekk updated SPARK-30599:
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Description:
The LogAppender has a limit for the number of logged event. By default, it is
100.
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Maxim Gekk commented on SPARK-30599:
I see at least 2 solutions:
1. Increase the limit from 100 to
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Maxim Gekk updated SPARK-30599:
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Description:
The LogAppender has a limit for the number of logged event. By default, it is
100.
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Maxim Gekk updated SPARK-30599:
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Description:
The LogAppender has a limit for the number of logged event. By default, it is
100.
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Maxim Gekk updated SPARK-30599:
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Attachment: fail_trace.txt
> SparkFunSuite.LogAppender throws java.lang.IllegalStateException
>
Maxim Gekk created SPARK-30599:
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Summary: SparkFunSuite.LogAppender throws
java.lang.IllegalStateException
Key: SPARK-30599
URL: https://issues.apache.org/jira/browse/SPARK-30599
Project: Spark
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Maxim Gekk updated SPARK-30599:
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Attachment: success_trace.txt
> SparkFunSuite.LogAppender throws java.lang.IllegalStateException
>
Maxim Gekk created SPARK-30587:
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Summary: Run test suites for CSV v1 and JSON v1
Key: SPARK-30587
URL: https://issues.apache.org/jira/browse/SPARK-30587
Project: Spark
Issue Type: Test
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Maxim Gekk commented on SPARK-30466:
Hadoop 2.7 still depends on the libs, see
Maxim Gekk created SPARK-30565:
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Summary: Regression in the ORC benchmark
Key: SPARK-30565
URL: https://issues.apache.org/jira/browse/SPARK-30565
Project: Spark
Issue Type: Bug
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Maxim Gekk commented on SPARK-30564:
[~viirya] Please, take a look at this. Maybe it can be
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Maxim Gekk commented on SPARK-30564:
Here, regression is ~8 times
Maxim Gekk created SPARK-30564:
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Summary: Regression in the wide schema benchmark
Key: SPARK-30564
URL: https://issues.apache.org/jira/browse/SPARK-30564
Project: Spark
Issue Type: Bug
Maxim Gekk created SPARK-30563:
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Summary: Regressions in Join benchmarks
Key: SPARK-30563
URL: https://issues.apache.org/jira/browse/SPARK-30563
Project: Spark
Issue Type: Bug
Maxim Gekk created SPARK-30562:
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Summary: Regression in interval string parsing
Key: SPARK-30562
URL: https://issues.apache.org/jira/browse/SPARK-30562
Project: Spark
Issue Type: Bug
Maxim Gekk created SPARK-30558:
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Summary: Avoid rebuilding `AvroOptions` per each partition
Key: SPARK-30558
URL: https://issues.apache.org/jira/browse/SPARK-30558
Project: Spark
Issue Type:
Maxim Gekk created SPARK-30554:
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Summary: Return Iterable from FailureSafeParser.rawParser
Key: SPARK-30554
URL: https://issues.apache.org/jira/browse/SPARK-30554
Project: Spark
Issue Type:
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Maxim Gekk commented on SPARK-30530:
[~jlowe] I prepared a fix for the issue. [~hyukjin.kwon]
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Maxim Gekk commented on SPARK-30530:
[~jlowe] Thank you for the bug report. I will take a look at
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Maxim Gekk resolved SPARK-29448.
Resolution: Won't Fix
> Support the `INTERVAL` type by Parquet datasource
>
Maxim Gekk created SPARK-30521:
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Summary: Eliminate deprecation warnings for ExpressionInfo
Key: SPARK-30521
URL: https://issues.apache.org/jira/browse/SPARK-30521
Project: Spark
Issue Type:
Maxim Gekk created SPARK-30520:
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Summary: Eliminate deprecation warnings for
UserDefinedAggregateFunction
Key: SPARK-30520
URL: https://issues.apache.org/jira/browse/SPARK-30520
Project: Spark
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Maxim Gekk updated SPARK-30165:
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Attachment: spark_warnings.txt
> Eliminate compilation warnings
> --
>
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Maxim Gekk updated SPARK-30165:
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Attachment: (was: spark_warnings.txt)
> Eliminate compilation warnings
>
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Maxim Gekk updated SPARK-30177:
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Summary: Eliminate warnings: part 7 (was: Eliminate warnings: part7)
> Eliminate warnings: part 7
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Maxim Gekk updated SPARK-30172:
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Summary: Eliminate warnings: part 3 (was: Eliminate warnings: part3)
> Eliminate warnings: part 3
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Maxim Gekk updated SPARK-30174:
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Summary: Eliminate warnings: part 4 (was: Eliminate warnings :part 4)
> Eliminate warnings: part 4
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Maxim Gekk updated SPARK-30171:
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Summary: Eliminate warnings: part 2 (was: Eliminate warnings: part2)
> Eliminate warnings: part 2
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Maxim Gekk resolved SPARK-30174.
Resolution: Duplicate
> Eliminate warnings :part 4
> --
>
>
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Maxim Gekk resolved SPARK-30171.
Resolution: Won't Fix
As per discussion in
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Maxim Gekk resolved SPARK-30490.
Resolution: Won't Fix
See [https://github.com/apache/spark/pull/27174#discussion_r365629991]
>
Maxim Gekk created SPARK-30509:
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Summary: Deprecation log warning is not printed in Avro schema
inferring
Key: SPARK-30509
URL: https://issues.apache.org/jira/browse/SPARK-30509
Project: Spark
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Maxim Gekk resolved SPARK-30492.
Resolution: Won't Fix
> Eliminate deprecation warnings in ORC datasource
>
Maxim Gekk created SPARK-30505:
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Summary: Deprecate Avro option `ignoreExtension` in a doc
Key: SPARK-30505
URL: https://issues.apache.org/jira/browse/SPARK-30505
Project: Spark
Issue Type:
Maxim Gekk created SPARK-30501:
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Summary: Remove SQL config spark.sql.parquet.int64AsTimestampMillis
Key: SPARK-30501
URL: https://issues.apache.org/jira/browse/SPARK-30501
Project: Spark
Issue
Maxim Gekk created SPARK-30500:
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Summary: Remove SQL config spark.sql.variable.substitute.depth
Key: SPARK-30500
URL: https://issues.apache.org/jira/browse/SPARK-30500
Project: Spark
Issue
Maxim Gekk created SPARK-30499:
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Summary: Remove SQL config
spark.sql.execution.pandas.respectSessionTimeZone
Key: SPARK-30499
URL: https://issues.apache.org/jira/browse/SPARK-30499
Project: Spark
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Maxim Gekk updated SPARK-30492:
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Summary: Eliminate deprecation warnings in ORC datasource (was: Eliminate
deprecation warning in
Maxim Gekk created SPARK-30492:
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Summary: Eliminate deprecation warning in ORC datasource
Key: SPARK-30492
URL: https://issues.apache.org/jira/browse/SPARK-30492
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-30490?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maxim Gekk updated SPARK-30490:
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Summary: Eliminate warnings in Avro datasource (was: Eliminate deprecation
warning in Avro
Maxim Gekk created SPARK-30490:
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Summary: Eliminate deprecation warning in Avro datasource
Key: SPARK-30490
URL: https://issues.apache.org/jira/browse/SPARK-30490
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-30485?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maxim Gekk updated SPARK-30485:
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Description:
Remove the following SQL configs:
* spark.sql.variable.substitute.depth
*
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https://issues.apache.org/jira/browse/SPARK-30485?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17012678#comment-17012678
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Maxim Gekk commented on SPARK-30485:
[~dongjoon] [~srowen] [~cloud_fan] [~hyukjin.kwon] WDYT of the
Maxim Gekk created SPARK-30485:
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Summary: Remove SQL configs deprecated before v2.4
Key: SPARK-30485
URL: https://issues.apache.org/jira/browse/SPARK-30485
Project: Spark
Issue Type: Test
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https://issues.apache.org/jira/browse/SPARK-30482?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maxim Gekk updated SPARK-30482:
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Component/s: (was: SQL)
> Add sub-class of AppenderSkeleton reusable in tests
>
Maxim Gekk created SPARK-30482:
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Summary: Add sub-class of AppenderSkeleton reusable in tests
Key: SPARK-30482
URL: https://issues.apache.org/jira/browse/SPARK-30482
Project: Spark
Issue Type:
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