Github user yucai commented on the issue:
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@cloud-fan if encryption is enabled
`blockManager.serializerManager().encryptionEnabled() == true`, shall we
disable this feature also?
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--- Diff:
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+/*
+ * Licensed to the Apache Software
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--- Diff: project/MimaExcludes.scala ---
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--- Diff: core/src/main/scala/org/apache/spark/ui/jobs/AllStagesPage.scala
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retest this please
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Github user mgaido91 commented on the issue:
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@zsxwing SKIPPED stages were previously shown as PENDING. Despite I agree
that your fix is needed, I think this is needed too. Do you agree @vanzin?
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Github user viirya commented on the issue:
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From the codes, looks like there is an intention to have partial results
when failing to parse the documents. This patch makes the partial results. But
this should be considered as behavior change,
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Github user jose-torres commented on the issue:
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The difference in ContinuousExecution is that the thread isn't doing any
metadata work like looking for new batches - it's either running the Spark job
or cleaning up after finishing it.
Github user lonehacker commented on the issue:
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@gatorsmile Can you confirm if this feature is active in current master? It
seems like this code was removed in [SPARK-14535][SQL] Remove buildInternalScan
from FileFormat
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ping @srowen
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*/
public static final int
Github user squito commented on the issue:
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I agree it would be nicer to have this be a more general feature. I would
prefer an approach which didn't require a different configuration name, just as
its more to document & for users to keep
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I like the `ConfigBuilder` approach. That would make this much more useful.
I'll add an implementation like that.
I think append option syntax would be confusing for users and
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--- Diff: python/pyspark/sql/catalog.py ---
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Database = namedtuple("Database", "name description locationUri")
Table =
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[SPARK-23490][SQL]Check storage.locationUri with existing table in
CreateTable
## What changes were proposed in this pull request?
For CreateTable with Append mode, we should check
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allModelParamSettings,
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val data = ratings.toDF
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Github user skonto commented on the issue:
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@susanxhuynh I agree in case it is not enabled we can log failures as
usual, but not for blacklisting as it is disabled it wouldnt make sense. User
should have this option not to care.
>
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Merged to master, but there were conflicts in 2.3; please open a separate
PR for the backport.
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Merging to master.
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Known flaky (SPARK-23458).
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retest this please
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@skonto We should not remove the logging. The logging
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LGTM, merging to master / 2.3.
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Github user jose-torres commented on a diff in the pull request:
https://github.com/apache/spark/pull/20647#discussion_r170106104
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/MicroBatchExecution.scala
---
@@ -415,12 +418,14 @@ class
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/20651
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