[GitHub] spark issue #22101: [SPARK-25114][Core] Fix RecordBinaryComparator when subt...

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[GitHub] spark issue #21537: [SPARK-24505][SQL] Convert strings in codegen to blocks:...

Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21537 I am sorry if I misunderstood. This was discussed sufficiently in the linked PRs. These are internal APIs and does not introduce behaviour changes by AnalysisBarrier which was a good enough

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[GitHub] spark issue #22013: [SPARK-23939][SQL] Add transform_keys function

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[GitHub] spark issue #22001: [SPARK-24819][CORE] Fail fast when no enough slots to la...

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[GitHub] spark issue #21912: [SPARK-24962][SQL] Refactor CodeGenerator.createUnsafeAr...

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[GitHub] spark pull request #22110: [SPARK-25122][SQL] Deduplication of supports equa...

Github user mn-mikke commented on a diff in the pull request: https://github.com/apache/spark/pull/22110#discussion_r210357474 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/TypeUtils.scala --- @@ -73,4 +73,14 @@ object TypeUtils { }

[GitHub] spark issue #21537: [SPARK-24505][SQL] Convert strings in codegen to blocks:...

Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/21537 This is not related to the credit or not. I think we need to introduce an IR like what the compiler is doing instead of continuous improvement on the existing one, which is already very hacky

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[GitHub] spark issue #21537: [SPARK-24505][SQL] Convert strings in codegen to blocks:...

Github user mgaido91 commented on the issue: https://github.com/apache/spark/pull/21537 Sure, I am fine with @kiszk leading the effort of course, I just wanted to give credit to @viirya for the (current) design as it was mostly done by him. ---

[GitHub] spark issue #22042: [SPARK-25005][SS]Support non-consecutive offsets for Kaf...

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[GitHub] spark pull request #22105: [SPARK-25115] [Core] Eliminate extra memory copy ...

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[GitHub] spark pull request #22110: [SPARK-25122][SQL] Deduplication of supports equa...

Github user mgaido91 commented on a diff in the pull request: https://github.com/apache/spark/pull/22110#discussion_r210353947 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/TypeUtils.scala --- @@ -73,4 +73,14 @@ object TypeUtils { }

[GitHub] spark issue #21698: [SPARK-23243][Core] Fix RDD.repartition() data correctne...

Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/21698 so I think the assumption is that task results are idempotent but not ordered. Sorry if that contradictory. The data itself has to be the same on rerun but the order of things in there

[GitHub] spark issue #21537: [SPARK-24505][SQL] Convert strings in codegen to blocks:...

Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/21537 This is bad. The design needs to be carefully reviewed before implementing it. Basically, we breaks the basic principles of software engineering. It is very strange to write the design doc after

[GitHub] spark pull request #22105: [SPARK-25115] [Core] Eliminate extra memory copy ...

Github user vanzin commented on a diff in the pull request: https://github.com/apache/spark/pull/22105#discussion_r210353176 --- Diff: common/network-common/src/main/java/org/apache/spark/network/protocol/MessageWithHeader.java --- @@ -140,8 +140,24 @@ private int

[GitHub] spark issue #21537: [SPARK-24505][SQL] Convert strings in codegen to blocks:...

Github user mgaido91 commented on the issue: https://github.com/apache/spark/pull/21537 @gatorsmile I think this is just the partial adoption of what was proposed [here](https://github.com/apache/spark/pull/19813#issuecomment-354045400) and implemented in SPARK-24121

[GitHub] spark pull request #22110: [SPARK-25122][SQL] Deduplication of supports equa...

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[GitHub] spark pull request #22105: [SPARK-25115] [Core] Eliminate extra memory copy ...

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[GitHub] spark pull request #21909: [SPARK-24959][SQL] Speed up count() for JSON and ...

Github user MaxGekk commented on a diff in the pull request: https://github.com/apache/spark/pull/21909#discussion_r210350101 --- Diff: docs/sql-programming-guide.md --- @@ -1892,6 +1892,7 @@ working with timestamps in `pandas_udf`s to get the best performance, see - In

[GitHub] spark issue #21889: [SPARK-4502][SQL] Parquet nested column pruning - founda...

Github user mallman commented on the issue: https://github.com/apache/spark/pull/21889 > Due to the urgency of the upcoming 2.4 code freeze, I'm going to open this PR to collect any feedback. This can be closed if you prefer to continue to the work in the original PR. That

[GitHub] spark issue #21320: [SPARK-4502][SQL] Parquet nested column pruning - founda...

Github user mallman commented on the issue: https://github.com/apache/spark/pull/21320 > @mallman if you're planning on making more code changes, would you be willing to work on a shared branch or something? I've been working to incorporate the CR comments. No, however if

[GitHub] spark issue #22009: [SPARK-24882][SQL] improve data source v2 API

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[GitHub] spark issue #22009: [SPARK-24882][SQL] improve data source v2 API

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[GitHub] spark issue #21123: [SPARK-24045][SQL]Create base class for file data source...

Github user rdblue commented on the issue: https://github.com/apache/spark/pull/21123 > We should do things incrementally and always prepare for the worst case. This is why I'm pushing for Append support and adding interfaces to finish the logical plans. Releasing logical

[GitHub] spark issue #21123: [SPARK-24045][SQL]Create base class for file data source...

Github user rdblue commented on the issue: https://github.com/apache/spark/pull/21123 > this mapping is not mentioned in the logical plan standardization design doc and I doubt if it's doable I agree! This is why I propose we add an entirely new API for v2 with clear

[GitHub] spark pull request #22110: [SPARK-25122][SQL] Deduplication of supports equa...

Github user mgaido91 commented on a diff in the pull request: https://github.com/apache/spark/pull/22110#discussion_r210343741 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/TypeUtils.scala --- @@ -73,4 +73,14 @@ object TypeUtils { }

[GitHub] spark issue #22110: [SPARK-25122][SQL] Deduplication of supports equals code

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[GitHub] spark issue #22110: [SPARK-25122][SQL] Deduplication of supports equals code

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[GitHub] spark issue #21537: [SPARK-24505][SQL] Convert strings in codegen to blocks:...

Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/21537 @kiszk You are a JVM expert with a very strong IR background. Could you lead the efforts and drive the IR design? --- - To

[GitHub] spark issue #21537: [SPARK-24505][SQL] Convert strings in codegen to blocks:...

Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/21537 Another example is the AnalysisBarrier, which becomes a disaster to Spark 2.3 release. Many blockers, correctness bugs, performance regressions are caused by that. Thus, I think we should revert

[GitHub] spark issue #21537: [SPARK-24505][SQL] Convert strings in codegen to blocks:...

Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/21537 Based on this PR, so many changes will be made in the codegen. The codegen is very fundamental to Spark SQL. I do not think we should merge this PR at this stage. To be more disciplined, we need

[GitHub] spark pull request #22099: [SPARK-25111][BUILD] increment kinesis client/pro...

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[GitHub] spark issue #22099: [SPARK-25111][BUILD] increment kinesis client/producer &...

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[GitHub] spark pull request #22105: [SPARK-25115] [Core] Eliminate extra memory copy ...

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[GitHub] spark issue #22109: [SPARK-25120][CORE][HistoryServer]Fix the problem of Eve...

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[GitHub] spark issue #22109: [SPARK-25120][CORE][HistoryServer]Fix the problem of Eve...

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[GitHub] spark issue #22098: [SPARK-24886][INFRA] Fix the testing script to increase ...

Github user shaneknapp commented on the issue: https://github.com/apache/spark/pull/22098 > > Ah, @shaneknapp , probably one possibility > about the motivation is that we don't touch build configuration often and > control the build time

[GitHub] spark pull request #21835: [SPARK-24779]Add sequence / map_concat / map_from...

Github user huaxingao commented on a diff in the pull request: https://github.com/apache/spark/pull/21835#discussion_r210326849 --- Diff: R/pkg/R/functions.R --- @@ -3320,7 +3321,7 @@ setMethod("explode", #' @aliases sequence sequence,Column-method #' @note sequence since

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[GitHub] spark pull request #21146: [SPARK-23654][BUILD] remove jets3t as a dependenc...

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[GitHub] spark issue #21146: [SPARK-23654][BUILD] remove jets3t as a dependency of sp...

Github user steveloughran commented on the issue: https://github.com/apache/spark/pull/21146 Closing now we have a test run with the combination of: No jets3t, no bouncy castle, upgraded kinesis. *all the kinesis tests now run* ---

[GitHub] spark issue #22099: [SPARK-25111][BUILD] increment kinesis client/producer &...

Github user steveloughran commented on the issue: https://github.com/apache/spark/pull/22099 > To be clear you think this passed because it still uses jets3t and that still brings in BC? correct > Then we can maybe merge this and rebase the other change to find out.

[GitHub] spark issue #21889: [SPARK-4502][SQL] Parquet nested column pruning - founda...

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[GitHub] spark issue #21977: SPARK-25004: Add spark.executor.pyspark.memory limit.

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[GitHub] spark issue #21977: SPARK-25004: Add spark.executor.pyspark.memory limit.

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[GitHub] spark issue #21977: SPARK-25004: Add spark.executor.pyspark.memory limit.

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Github user rdblue commented on a diff in the pull request: https://github.com/apache/spark/pull/21977#discussion_r210317086 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/python/BatchEvalPythonExec.scala --- @@ -69,7 +67,7 @@ case class

[GitHub] spark issue #21977: SPARK-25004: Add spark.executor.pyspark.memory limit.

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[GitHub] spark issue #22099: [SPARK-25111][BUILD] increment kinesis client/producer &...

Github user srowen commented on the issue: https://github.com/apache/spark/pull/22099 To be clear you think this passed because it still uses jets3t and that still brings in BC? Then we can maybe merge this and rebase the other change to find out. This update won't have changed that

[GitHub] spark issue #22081: [SPARK-23654][BUILD] remove jets3t as a dependency of sp...

Github user steveloughran commented on the issue: https://github.com/apache/spark/pull/22081 making a test-time option is a reasonable idea -getting the unlimited JCE on the test machines (they don't right now) would remove the need for this ---

[GitHub] spark issue #22007: [SPARK-25033] Bump Apache commons.{httpclient, httpcore}

Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/22007 The bump is fine but this is not for making it congruent with Stocator, which is just an external connector. --- - To

[GitHub] spark issue #22111: [SPARK-25123][SQL] Use Block to track code in SimpleExpr...

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[GitHub] spark issue #22101: [SPARK-25114][Core] Fix RecordBinaryComparator when subt...

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[GitHub] spark issue #22093: [SPARK-25100][CORE] Fix no registering TaskCommitMessage...

Github user xuanyuanking commented on the issue: https://github.com/apache/spark/pull/22093 `Should I delete current UT from FileSuit?` I think current UT in `FileSuite` is unnecessarily, you can leave it and wait for other reviewer's opinion. ---

[GitHub] spark pull request #22110: [SPARK-25122][SQL] Deduplication of supports equa...

Github user kiszk commented on a diff in the pull request: https://github.com/apache/spark/pull/22110#discussion_r210282476 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/types/AbstractDataType.scala --- @@ -115,6 +115,8 @@ protected[sql] abstract class AtomicType

[GitHub] spark issue #21123: [SPARK-24045][SQL]Create base class for file data source...

Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21123 Yea I agree. I was just wondering if we plan similar stuff for all datasource v1 not only FileFormat one since it looks the reason described above potentially apply to all datasource v1 I

[GitHub] spark issue #21977: SPARK-25004: Add spark.executor.pyspark.memory limit.

Github user holdenk commented on the issue: https://github.com/apache/spark/pull/21977 Actually looking at the Jenkins failures, could be the cause of some of them as well (certainly the

[GitHub] spark pull request #21977: SPARK-25004: Add spark.executor.pyspark.memory li...

Github user holdenk commented on a diff in the pull request: https://github.com/apache/spark/pull/21977#discussion_r210274748 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/python/BatchEvalPythonExec.scala --- @@ -69,7 +67,7 @@ case class

[GitHub] spark issue #22009: [SPARK-24882][SQL] improve data source v2 API

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[GitHub] spark issue #22009: [SPARK-24882][SQL] improve data source v2 API

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[GitHub] spark issue #21123: [SPARK-24045][SQL]Create base class for file data source...

Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/21123 v1 fallback should be used as a temporary workaround, not a long-term solution to fix the gap between v1 and v2. --- - To

[GitHub] spark issue #22009: [SPARK-24882][SQL] improve data source v2 API

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[GitHub] spark issue #22001: [SPARK-24819][CORE] Fail fast when no enough slots to la...

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[GitHub] spark issue #22001: [SPARK-24819][CORE] Fail fast when no enough slots to la...

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[GitHub] spark pull request #21977: SPARK-25004: Add spark.executor.pyspark.memory li...

Github user holdenk commented on a diff in the pull request: https://github.com/apache/spark/pull/21977#discussion_r210271735 --- Diff: resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala --- @@ -91,6 +91,13 @@ private[spark] class Client(

[GitHub] spark issue #20611: [SPARK-23425][SQL]Support wildcard in HDFS path for load...

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[GitHub] spark issue #20611: [SPARK-23425][SQL]Support wildcard in HDFS path for load...

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[GitHub] spark issue #20611: [SPARK-23425][SQL]Support wildcard in HDFS path for load...

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