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MaxGekk commented on pull request #31304:
URL: https://github.com/apache/spark/pull/31304#issuecomment-766303721
Here is the backport to `branch-3.0`:
https://github.com/apache/spark/pull/31305
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MaxGekk opened a new pull request #31305:
URL: https://github.com/apache/spark/pull/31305
### What changes were proposed in this pull request?
Invoke `CatalogImpl.refreshTable()` instead of `SessionCatalog.refreshTable`
in v1 implementation of the `LOAD DATA` command.
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viirya commented on pull request #31296:
URL: https://github.com/apache/spark/pull/31296#issuecomment-766292873
BTW, I know PipedRDD (RDD.pipe) is widely used. At least I heard many times
people use pipe to adapt existing program with Spark.
viirya commented on pull request #31296:
URL: https://github.com/apache/spark/pull/31296#issuecomment-766292712
> Also, when they can do arbitrary aggregation in forked process per
partition, the aggregation is only bound to the micro-batch, even only bound to
the single partition, which
viirya edited a comment on pull request #31296:
URL: https://github.com/apache/spark/pull/31296#issuecomment-766291831
> I understand the functionality is lacking on SS. There's a workaround like
foreachBatch -> toRDD -> pipe but streaming operations can't be added after
calling pipe. So
viirya commented on pull request #31296:
URL: https://github.com/apache/spark/pull/31296#issuecomment-766291831
> I understand the functionality is lacking on SS. There's a workaround like
foreachBatch -> toRDD -> pipe but streaming operations can't be added after
calling pipe. So I'd
wangyum commented on a change in pull request #31303:
URL: https://github.com/apache/spark/pull/31303#discussion_r563236578
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HyukjinKwon commented on pull request #31218:
URL: https://github.com/apache/spark/pull/31218#issuecomment-766288411
@maropu can you take a quick look for doubly sure when you find some time?
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URL: https://github.com/apache/spark/pull/31218#discussion_r563234527
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Merged to master.
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Merged to branch-3.0.
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HyukjinKwon commented on pull request #31298:
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cc @Ngone51 who also works on decommissioning and torrent broadcast stuff.
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Merged to branch-3.1
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HyukjinKwon commented on pull request #31302:
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Is this a duplicate of https://github.com/apache/spark/pull/29178 and
https://github.com/apache/spark/pull/31147? I have the same question
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cc @Ngone51, @dongjoon-hyun, @cloud-fan, @peter-toth FYI
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HeartSaVioR edited a comment on pull request #31296:
URL: https://github.com/apache/spark/pull/31296#issuecomment-766278704
Also, when they can do arbitrary aggregation in forked process per
partition, the aggregation is only bound to the micro-batch, even only bound to
the single
HeartSaVioR edited a comment on pull request #31296:
URL: https://github.com/apache/spark/pull/31296#issuecomment-766278704
Also, when they can do arbitrary aggregation in forked process per
partition, the aggregation is only bound to the micro-batch, even only bound to
the single
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HeartSaVioR commented on pull request #31296:
URL: https://github.com/apache/spark/pull/31296#issuecomment-766278704
Also, when they can do arbitrary aggregation in forked process per
partition, the aggregation is only bound to the micro-batch, even only bound to
the single partition,
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HeartSaVioR commented on pull request #31296:
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I understand the functionality is lacking on SS. There's a workaround like
foreachBatch -> toRDD -> pipe but streaming operations can't be added after
calling pipe. So I'd
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holdenk commented on pull request #31298:
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dongjoon-hyun commented on pull request #31304:
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Could you make a backport to branch-3.0?
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##
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@@ -225,6
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URL: https://github.com/apache/spark/pull/31300#discussion_r563194618
##
File path: sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala
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@@ -928,33 +928,61 @@ class CachedTableSuite extends QueryTest with
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imback82 commented on a change in pull request #31273:
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/views.scala
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@@ -558,20 +560,27 @@ object ViewHelper {
catalog:
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