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Nibooor edited a comment on issue #26598: [SPARK-29861][CORE] Reduce downtime
in Spark standalone HA master switch
URL: https://github.com/apache/spark/pull/26598#issuecomment-566041155
> BTW, Bump the curator version to 4.2.0 is required? If not, please remove
that dependency upgrade.
Nibooor edited a comment on issue #26598: [SPARK-29861][CORE] Reduce downtime
in Spark standalone HA master switch
URL: https://github.com/apache/spark/pull/26598#issuecomment-566041155
> BTW, Bump the curator version to 4.2.0 is required? If not, please remove
that dependency upgrade.
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Compact old event log files and cleanup
URL: https://github.com/apache/spark/pull/26416#discussion_r358268776
##
File path:
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WeichenXu123 opened a new pull request #26910: [SPARK-30154][ML] PySpark UDF to
convert MLlib vectors to dense arrays
URL: https://github.com/apache/spark/pull/26910
### What changes were proposed in this pull request?
PySpark UDF to convert MLlib vectors to dense arrays.
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Compact old event log files and cleanup
URL: https://github.com/apache/spark/pull/26416#discussion_r358260674
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HeartSaVioR commented on a change in pull request #26416: [SPARK-29779][CORE]
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Arrow MapType support
URL: https://github.com/apache/spark/pull/26512#discussion_r358259217
##
File path:
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##
@@ -1525,7
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wangyum opened a new pull request #26909: [WIP][SPARK-30268][INFRA] Fix
incorrect pyspark version when releasing preview versions
URL: https://github.com/apache/spark/pull/26909
### What changes were proposed in this pull request?
### Why are the changes needed?
SparkQA commented on issue #26908: [SPARK-30269][SQL] Should use old partition
stats to decide whether to update stats when analyzing partition
URL: https://github.com/apache/spark/pull/26908#issuecomment-566081393
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wzhfy opened a new pull request #26908: [SPARK-30269][SQL] Should use old
partition stats to decide whether to update stats when analyzing partition
URL: https://github.com/apache/spark/pull/26908
### What changes were proposed in this pull request?
It's an obvious bug: currently
SparkQA commented on issue #26416: [SPARK-29779][CORE] Compact old event log
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AmplabJenkins commented on issue #26907: [SPARK-30267][SQL] Avro arrays can be
of any List
URL: https://github.com/apache/spark/pull/26907#issuecomment-566061379
Can one of the admins verify this patch?
This is an automated
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cloud-fan edited a comment on issue #26807: [SPARK-30181][SQL] Only add string
or integral type column to metastore partition filter
URL: https://github.com/apache/spark/pull/26807#issuecomment-566060858
can you test it with master please? or branch 2.4, as the fix has been
backported.
cloud-fan commented on issue #26807: [SPARK-30181][SQL] Only add string or
integral type column to metastore partition filter
URL: https://github.com/apache/spark/pull/26807#issuecomment-566060858
can you test it with master please?
cloud-fan commented on a change in pull request #26906:
[SPARK-30066][SQL][FOLLOWUP] Remove size field for interval column cache
URL: https://github.com/apache/spark/pull/26906#discussion_r358231026
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AmplabJenkins commented on issue #26905: [SPARK-30266][SQL] Avoid overflow and
match error in ApproximatePercentile
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steven-aerts opened a new pull request #26907: [SPARK-30267][SQL] Avro arrays
can be of any List
URL: https://github.com/apache/spark/pull/26907
The Deserializer assumed that avro arrays are always of type
`GenericData$Array` which is not the case.
Assuming they are from java.util.List
amanomer commented on issue #26808: [SPARK-30184][SQL] Implement a helper
method for aliasing functions
URL: https://github.com/apache/spark/pull/26808#issuecomment-566058463
@cloud-fan @maropu kindly review this PR
This is
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URL: https://github.com/apache/spark/pull/26905#issuecomment-566054534
```
[info] - summary *** FAILED *** (18 milliseconds)
[info] org.apache.spark.sql.AnalysisException:
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steveloughran commented on issue #26797: [SPARK-30166][SQL] Eliminate
compilation warnings in JSONOptions
URL: https://github.com/apache/spark/pull/26797#issuecomment-566047177
> @steveloughran , eh, any thoughts on the state of Jackson in Hadoop?
a mess. We need to strip out use
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