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gaborgsomogyi commented on a change in pull request #26153:
[SPARK-29500][SQL][SS] Support partition column when writing to Kafka
URL: https://github.com/apache/spark/pull/26153#discussion_r336439286
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[SPARK-29500][SQL][SS] Support partition column when writing to Kafka
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##
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[SPARK-29500][SQL][SS] Support partition column when writing to Kafka
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[SPARK-29500][SQL][SS] Support partition column when writing to Kafka
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HeartSaVioR commented on issue #26158: [MINOR][SQL][SS] Deduplicate codes from
Kafka data source
URL: https://github.com/apache/spark/pull/26158#issuecomment-543692934
cc. @tdas @zsxwing @jose-torres @gaborgsomogyi
This is
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URL: https://github.com/apache/spark/pull/26162#issuecomment-543692986
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Support partition column when writing to Kafka
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@wangyum Please, review this PR.
This is
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HeartSaVioR commented on issue #26156: [SPARK-29438][SS] Failed to get state
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URL: https://github.com/apache/spark/pull/26156#issuecomment-543662716
Hi @uncleGen , sorry I didn't see what you meant for taskpartition in JIRA,
now I got it.
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HeartSaVioR commented on issue #26153: [SPARK-29500][SQL][SS] Support partition
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> Just to double check won't this change the schema of a stateful query?
The `partition` attribute is
redsk commented on issue #26153: [SPARK-29500][SQL][SS] Support partition
column when writing to Kafka
URL: https://github.com/apache/spark/pull/26153#issuecomment-543708565
> * The continuous test coverage can be increased
What would you suggest? Aren't batch, streaming, and
gaborgsomogyi commented on a change in pull request #26153:
[SPARK-29500][SQL][SS] Support partition column when writing to Kafka
URL: https://github.com/apache/spark/pull/26153#discussion_r336464078
##
File path: docs/structured-streaming-kafka-integration.md
##
@@
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Support partition column when writing to Kafka
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WeichenXu123 commented on issue #18610: [SPARK-21386] ML LinearRegression
supports warm start from user provided initial model.
URL: https://github.com/apache/spark/pull/18610#issuecomment-543717445
@yanboliang This PR is stale. If no further updates, would you mind to close
it ? Thanks
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Yep.
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URL: https://github.com/apache/spark/pull/26165
### What changes were proposed in this pull request?
- Cast strings to intervals in `interval - string`. For example:
SparkQA removed a comment on issue #26162: [SPARK-29438][SS] Use partition ID
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wangyum opened a new pull request #26160: [SPARK-29498][SQL] CatalogTable to
HiveTable should not change the table's ownership
URL: https://github.com/apache/spark/pull/26160
### What changes were proposed in this pull request?
`CatalogTable` to `HiveTable` will change the table's
zhengruifeng closed pull request #26135: [SPARK-29489][ML][PySpark]
ml.evaluation support log-loss
URL: https://github.com/apache/spark/pull/26135
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HeartSaVioR commented on issue #26162: [SPARK-29438][SS] Use partition ID of
source for state store in stream-stream join
URL: https://github.com/apache/spark/pull/26162#issuecomment-543664548
We could add configuration to retain the behavior (using
`TaskContext.partitionId()`) and avoid
gengliangwang closed pull request #26129: [SPARK-29482][SQL] ANALYZE TABLE
should look up catalog/table like v2 commands
URL: https://github.com/apache/spark/pull/26129
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The endurance test looks stable so removing the WIP.
redsk commented on a change in pull request #26153: [SPARK-29500][SQL][SS]
Support partition column when writing to Kafka
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> I've had a deeper look and I tend to agree to depend on micro-batch tests.
So no more tests need on this
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HeartSaVioR opened a new pull request #26162: [SPARK-29438][SS] Use partition
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URL: https://github.com/apache/spark/pull/26162
### What changes were proposed in this pull request?
Credit to @uncleGen for discovering the problem and
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This PR fixes the incorrect `EqualNullSafe` symbol in
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@srowen What's the issue in upgrading Jackson in 2.4?
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Support partition column when writing to Kafka
URL: https://github.com/apache/spark/pull/26153#discussion_r336450456
##
File path: docs/structured-streaming-kafka-integration.md
##
@@ -622,6
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Support partition column when writing to Kafka
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Support partition column when writing to Kafka
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