Github user HyukjinKwon commented on the pull request:
https://github.com/apache/spark/pull/9687#issuecomment-163104687
Can I add the function `stripSparkFilter` to `SQLTestUtils` for
`ParquetFilterSuite` and `OrcQuerySuite` (and possibly `OrcFilterSuite` I will
make)?
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Github user HyukjinKwon commented on the pull request:
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retest this please
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Github user viirya commented on the pull request:
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Hmm, I think its exactly-once semantics should be as same as what
DirectKafkaInputDStream does.
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GitHub user gatorsmile opened a pull request:
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[SPARK-12164] [SQL] Decode the encoded values and then display
Based on the suggestions from @marmbrus @cloud-fan in
https://github.com/apache/spark/pull/10165 , this PR is to print the decoded
Github user yanboliang commented on the pull request:
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+1 @sun-rui Only ```jdbc``` can not fit in ```read.df```.
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Github user jerryshao commented on the pull request:
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I'm really doubt changing to low-level API could guarantee exact-once
semantics without any other changes.
CC\ @koeninger
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Github user gatorsmile commented on the pull request:
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@marmbrus @cloud-fan This PR changes the external API. Not sure if this
will be merged or we should revisit it after the release of 1.6? Thank you!
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Thank you! @cloud-fan
Will this PR be merged to 1.6? Or waiting for another PR for showing
decoded values? @marmbrus Thank you!
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[SPARK-12188] [SQL] [FOLLOW-UP] Code refactoring and comment correction in
Dataset APIs
@marmbrus This PR is to address your comment. Thanks for your review!
You can merge this pull request in
Github user yinxusen commented on the pull request:
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@mengxr The conflict is caused by the revert of
https://github.com/apache/spark/pull/10002, for unchecking of Python style. I
think we need to wait for that PR being m
Github user viirya commented on the pull request:
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We need the exactly once feature of DirectKafkaInputDStream. But we
observed that it introduces the latency compared with KafkaInputDStream due to
its implementation.
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -67,15 +67,21 @@ class Dataset[T] private[sql](
tEncoder: Encoder[T])
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
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tEncoder: Encoder[T]) ex
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Github user markgrover commented on the pull request:
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Jenkins, retest this please.
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Github user markgrover commented on the pull request:
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Thanks @JoshRosen For now, I have added the mysql and postgresql drivers as
dependencies and the tests pass now. We just have to make sure that the CI
environment has
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/**
* (J
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--- Diff:
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@@ -33,7 +33,7 @@ import org.apache.spark.rdd.RDD
@Sin
Github user sun-rui commented on the pull request:
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@felixcheung, could you detail more about "read.df doesn't match
DataFrameReader"? The only exception is JDBC source?
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Github user jerryshao commented on the pull request:
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So what is the advantage compared to use high-level API? From the point of
pulling messages from Kafka, I think there's no difference between high-level
API and `Simp
Github user HyukjinKwon commented on the pull request:
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In this commit, I renamed the function extractSourceRDDToDataFrame to
stripSparkFilter.
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merging with master and branch-1.6
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/cc @davies
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[SPARK-1] [Core] Deserialize RoaringBitmap using Kryo serializer throw
Buffer underflow exception
Deserialize RoaringBitmap using Kryo serializer throw Buffer underflow
exception:
```
com
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Github user viirya commented on the pull request:
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@jerryshao Yes. We would like to directly pull messages from Kafka like
DirectKafkaInputDStream, but also use receivers like KafkaInputDStream.
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Merging with master and branch-1.6
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In this commit, I resolved conflicts, renamed the function
extractSourceRDDToDataFrame to stripSparkFilter and set false to
`spark.sql.parquet.enableUnsafeRowRecordR
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This is not really my area, but I'm sure SQL guys will pick this up. ok to
test
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Github user winningsix commented on the pull request:
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Hi @vanzin
This PR includes two parts:
1. Add user information to SessionState which is required to initialize the
authorizer.
2. Add parser rules to fal
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Note to self RE: unroll fraction (just to be precise):
At a high-level, the StaticMemoryManager a request for unroll memory will
be able to obtain more memory
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