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Looks like the integration tests have been failing for the past few runs.
Otherwise LGTM.
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cc @mengxr @gatorsmile @cloud-fan
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[SPARK-24795][CORE] Implement barrier execution mode
## What changes were proposed in this pull request?
Propose new APIs and modify job/task scheduling to support barrier
execution
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IIUC the output produced by `rdd1.zip(rdd2).map(v => (computeKey(v._1,
v._2), computeValue(v._1, v._2)))` shall always have the same cardinality, no
matter how many tasks are retried, so where
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@rdblue, so basically you mean it looks both equality comparison and
nullsafe equality comparison are identically pushed down and looks it should be
distinguished; otherwise, there could be a
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Thanks! @HyukjinKwon @felixcheung
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After applying this patch, my application can be running successfully. This
issue could happen in the case of many topics(hundreds of ) consumed.
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retest this please
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@@ -1204,16 +1207,46 @@ class Analyzer(
* only
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[SQL][SPARK-24797] respect spark.sql.hive.convertMetastoreOrc/Parquet when
buildâ¦
## What changes were proposed in this pull request?
the current code path ignore the value of
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test this please
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> Given this, there is no ambiguity in cardinality of zip().map() ... which
two tuples from rdd1 and rdd2 get zip'ed together can be arbitrary : and I
agree about that.
yes, but the
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--- Diff: sql/core/benchmarks/FilterPushdownBenchmark-results.txt ---
@@ -292,120 +292,120 @@ Intel(R) Core(TM) i7-7820HQ CPU @ 2.90GHz
Select 1
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test this please
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@@ -586,12 +581,17 @@ class Analyzer(
}
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LGTM
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test this please
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@wangyum, can you explain what was happening with the `decimal(9,2)`
benchmark more clearly? I asked additional questions, but the thread is on a
line that changed so it's collapsed by default.
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/21163
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/92950/
Test PASSed.
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