[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 > https://issues.apache.org/jira/browse/SPARK-25879 > > If we select a nested field and a top level field, the schema pruning will fail. Here is the reproducible test, > ... Hi @dbtsai. I believe the problem you're seeing here is resolved by #22880 (https://issues.apache.org/jira/browse/SPARK-25407). It was a known problem at the time this PR was merged, but was pushed back to a future commit. Coincidentally, I just posted #22880 today. The test case you provide is very similar to the test case introduced and exercised in that PR. I manually ran your test case on that branch locally, and the test passed. Would you like to try that branch and comment? Cheers. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21320: [SPARK-4502][SQL] Parquet nested column pruning - founda...
Github user dbtsai commented on the issue: https://github.com/apache/spark/pull/21320 cc @viirya If we select a nested field and a top level field, the schema pruning will fail. Here is the reproducible test, ```scala testSchemaPruning("select a single complex field and a top level field") { val query = sql("select * from contacts") .select("name.middle", "address") query.explain(true) query.printSchema() query.show() checkScan(query, "struct,address:string>") } ``` and the exception is ``` 23:16:05.864 ERROR org.apache.spark.executor.Executor: Exception in task 1.0 in stage 3.0 (TID 6) org.apache.spark.sql.execution.QueryExecutionException: Encounter error while reading parquet files. One possible cause: Parquet column cannot be converted in the corresponding files. Details: at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:193) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:101) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$11$$anon$1.hasNext(WholeStageCodegenExec.scala:674) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:255) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:850) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:850) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:325) at org.apache.spark.rdd.RDD.iterator(RDD.scala:289) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:121) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$11.apply(Executor.scala:419) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:425) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) Caused by: org.apache.parquet.io.ParquetDecodingException: Can not read value at 0 in block -1 in file file:/private/var/folders/pr/4q3b9vkx36lbygjr5jhfmjcwgn/T/spark-a4fff68d-d51a-4c79-aa18-54cfd7f81a75/contacts/p=2/part-0-8a4d9396-7be3-4fed-a55a-5580684ebda6-c000.snappy.parquet at org.apache.parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:251) at org.apache.parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:207) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:101) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:181) ... 19 more Caused by: java.lang.IndexOutOfBoundsException: Index: 0, Size: 0 at java.util.ArrayList.rangeCheck(ArrayList.java:657) at java.util.ArrayList.get(ArrayList.java:433) at org.apache.parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99) at org.apache.parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99) at org.apache.parquet.io.PrimitiveColumnIO.getFirst(PrimitiveColumnIO.java:97) at org.apache.parquet.io.PrimitiveColumnIO.isFirst(PrimitiveColumnIO.java:92) at org.apache.parquet.io.RecordReaderImplementation.(RecordReaderImplementation.java:278) at org.apache.parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:147) at org.apache.parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:109) at org.apache.parquet.filter2.compat.FilterCompat$NoOpFilter.accept(FilterCompat.java:165) at org.apache.parquet.io.MessageColumnIO.getRecordReader(MessageColumnIO.java:109) at org.apache.parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:137) at org.apache.parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:222) ... 24 more 23:16:05.896 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 1.0 in stage 3.0
[GitHub] spark issue #21320: [SPARK-4502][SQL] Parquet nested column pruning - founda...
Github user Gauravshah commented on the issue: https://github.com/apache/spark/pull/21320 backported to 2.3.2 just in case somebody needs it. https://github.com/Gauravshah/spark/tree/branch-2.3_SPARK-4502 Thanks @mallman --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[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 Hi @Gauravshah. That branch has diverged substantially from whatâs in master. Right now Iâm preparing a PR to address a problem with the current implementation in master, but Iâm on holiday for a while. Still, I am hopeful we will see schema pruning for joins and aggregations in 3.0. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21320: [SPARK-4502][SQL] Parquet nested column pruning - founda...
Github user Gauravshah commented on the issue: https://github.com/apache/spark/pull/21320 @mallman any way I can help pull in rest of the changes from your original PR (https://github.com/apache/spark/pull/16578) for next release ? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21320: [SPARK-4502][SQL] Parquet nested column pruning - founda...
Github user dbtsai commented on the issue: https://github.com/apache/spark/pull/21320 A [PR](https://github.com/apache/spark/pull/22357) fixing the issue I mentioned above is provided by [Liang-Chi Hsieh](https://github.com/viirya). Thank you for the quick and clean solution. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21320: [SPARK-4502][SQL] Parquet nested column pruning - founda...
Github user dbtsai commented on the issue: https://github.com/apache/spark/pull/21320 Thanks @mallman for schema pruning work which will be a big win in our pattern of accessing our data. I'm testing this new feature, and find `where clause` on the selected nested column can break the schema pruning. For example, ```scala val q1 = sql("select name.first from contacts") val q2 = sql("select name.first from contacts where name.first = 'David'") q1.explain(true) q2.explain(true) ``` The physical plan of `q1` is right and what we expect with this feature, ``` == Physical Plan == *(1) Project [name#19.first AS first#36] +- *(1) FileScan parquet [name#19] Batched: false, Format: Parquet, PartitionFilters: [], PushedFilters: [], ReadSchema: struct> ``` But the physical plan of `q2` will have a pushed filter on `name` resulting reading the entire `name` column, ``` == Physical Plan == *(1) Project [name#19.first AS first#40] +- *(1) Filter (isnotnull(name#19) && (name#19.first = David)) +- *(1) FileScan parquet [name#19] Batched: false, Format: Parquet, PartitionFilters: [], PushedFilters: [IsNotNull(name)], ReadSchema: struct> ``` I understand that predicate push-down on the nested column is not implemented yet, and with schema pruning and `where clause`, we should be able to only read the selected nested columns and the columns with `where caluse`. Thanks. cc @beettlle --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21320: [SPARK-4502][SQL] Parquet nested column pruning - founda...
Github user ajacques commented on the issue: https://github.com/apache/spark/pull/21320 @mallman Glad to see this got merged in. Thanks for all of your work pushing through. I'm looking forward to the next phase. Please let me know if I can help again. I did notice that window functions don't get pushed down fully and briefly started looking into that, but don't want to duplicate any work you might be planning. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[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 Thanks everyone for your contributions, support and patience. It's been a journey and a half, and I'm excited for the future. I will open a follow-on PR to address the current known failure scenario (see ignored test) in this patch, and we can discuss if/how we can get it into 2.4 as well. I know there are many early adopters of this patch and #16578. Bug reports will continue to be very helpful. Beyond this patch, there are many possibilities for widening the scope of schema pruning. As part of our review process, we've pared the scope of this capability to just projection. IMHO, the first limitation we should address post 2.4 is supporting pruning with query filters of nested fields ("where" clauses). Joins, aggregations and window queries would be powerful enhancements as well, bringing the scope of schema pruning to analytic queries. I believe all of the additional features VideoAmp has implemented for schema pruning are independent of the underlying column store. Future enhancements should be automagically inherited by any column store that implements functionality analogous to `ParquetSchemaPruning.scala`. This should widen not just the audience that can be reached, but the developer community that can contribute and review. Thanks again. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/21320 Sure, @gatorsmile ! --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user IgorBerman commented on the issue: https://github.com/apache/spark/pull/21320 @mallman, wanted to say huge thanks for your work! this is great step forward. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21320: [SPARK-4502][SQL] Parquet nested column pruning - founda...
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/21320 Thanks! Merged to master. BTW, we can keep thinking whether there are other better solutions for nested column pruning. Also cc @dongjoon-hyun If you are interested in the work for supporting ORC nested column pruning. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21320 Seems fine to me too for the similar reasons. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21320: [SPARK-4502][SQL] Parquet nested column pruning - founda...
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/21320 LGTM, as I explained above. https://github.com/apache/spark/pull/21320#issuecomment-415526369 Thanks for your patience and great work! @mallman Sorry, it takes two years to merge the code. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user mallman commented on the issue: https://github.com/apache/spark/pull/21320 > @mallman Could you remove the changes made in ParquetRowConverter.scala and also turn off spark.sql.nestedSchemaPruning.enabled by default in this PR? Done. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21320: [SPARK-4502][SQL] Parquet nested column pruning - founda...
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/21320 The feature has already been developed for almost two years. I am feeling sorry to merge it in Spark 2.4 release. Personally, I think we should not block merging this PR to Spark 2.4 release, even if the solution might still have a few issues we need to address. This PR only includes a rule and it does not touch any common code. Thus, the Spark users will face zero risk if we just turn off the conf `spark.sql.nestedSchemaPruning.enabled` by default. More importantly, if we merge it now, we can collect the feedbacks from Spark users who are waiting for this feature and fix the holes if existed in the next releases. @mallman Could you remove the changes made in ParquetRowConverter.scala and also turn off `spark.sql.nestedSchemaPruning.enabled` by default in this PR? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21320: [SPARK-4502][SQL] Parquet nested column pruning - founda...
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/21320 let me take a look this today. Thanks! --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user mallman commented on the issue: https://github.com/apache/spark/pull/21320 > Add some test cases when turning on spark.sql.caseSensitive? Will do. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21320: [SPARK-4502][SQL] Parquet nested column pruning - founda...
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/21320 Add some test cases when turning on `spark.sql.caseSensitive`? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user mallman commented on the issue: https://github.com/apache/spark/pull/21320 > Try this when spark.sql.nestedSchemaPruning.enabled is on? I don't think this will be difficult to fix. I'm working on it now and will add relevant test coverage. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user mallman commented on the issue: https://github.com/apache/spark/pull/21320 > Try this when spark.sql.nestedSchemaPruning.enabled is on? This is a case-sensitivity issue (obviously). I'll get to the root of it. Thanks. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/21320 Try this when `spark.sql.nestedSchemaPruning.enabled` is on? ```SQL withTable("t1") { spark.sql( """ |Create table t1 (`id` INT,`CoL1` STRING, |`coL2` STRUCT<`a`: TIMESTAMP, `b`: INT, `c`: ARRAY>, |`col3` INT, |`col4` INT, |`Col5` STRUCT<`a`: STRING, `b`: STRUCT<`a`: INT, `b`: ARRAY, `c`: INT>, `c`: INT>) |USING parquet """.stripMargin) spark.sql("SELECT id from t1 where col2.b < 7").count() } ``` --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21320 I said either way works fine. It doesn't matter which way we go. Better close one of them if the approach is the same and both PRs are active. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user mallman commented on the issue: https://github.com/apache/spark/pull/21320 > I see no point of leaving this PR open. I don't agree with you on that point, and I've expressed my view in https://github.com/apache/spark/pull/21889#issuecomment-413655304. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21320 @mallman, can you close this and put some efforts there in https://github.com/apache/spark/pull/21889? I see no point of leaving this PR open. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user mallman commented on the issue: https://github.com/apache/spark/pull/21320 >> Hello, we've been using your patch at Stripe and we've found something that looks like a new bug: > > Thank you for sharing this, @xinxin-stripe. This is very helpful. I will investigate and report back. I have not been able to reproduce this issue with this branch at commit 0e5594b6ac1dcb94f3f0166e66a7d4e7eae3d00c. However, I'm seeing the same failure scenario as yours on VideoAmp's internal 2.1, 2.2 and 2.3 backports of this branch. I think the reason for this difference is that our internal branches (and probably yours) incorporate rules to support pruning for aggregations. That functionality was removed from this PR. I will fix this and share the fix with you. It would help if you could send me a scenario where you can reproduce this failure with a Spark SQL query. Query plans for datasets built from SQL queries tend to be much more readable. Consider e-mailing me directly on this issue because it does not appear to be strictly related to this PR. My e-mail address is m...@allman.ms. Thanks again! --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user mallman commented on the issue: https://github.com/apache/spark/pull/21320 > Hello, we've been using your patch at Stripe and we've found something that looks like a new bug: Thank you for sharing this, @xinxin-stripe. This is very helpful. I will investigate and report back. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user xinxin-stripe commented on the issue: https://github.com/apache/spark/pull/21320 Hello, we've been using your patch at Stripe and we've found something that looks like a new correctness issue: ``` import spark.implicits._ case class Inner(a: String) case class Outer(key: String, inner: Inner) val obj = Outer("key", Inner("a")) val ds = spark.createDataset(Seq(obj)) .groupByKey(_.key) .reduceGroups((struct1, struct2) => struct1) .map(_._2) ds.collect.head shouldBe obj // This fails with java.lang.RuntimeException: Couldn't find inner#38 in [key#37,value#41,a#61] ``` --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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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 you want to open a PR against the VideoAmp spark-4502-parquet_column_pruning-foundation branch I will review your changes. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user ajacques 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. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user mallman commented on the issue: https://github.com/apache/spark/pull/21320 >> the window of opportunity to review syntax and style in this PR closed long ago. > Why/when is this window closed? Who closed that? What I wrote above is a coarse approximation of my stance on the matter. It's inadequate, and I have struggled to adequately express myself. Reflecting on this last night I believe I was able to nail down exactly what I want to write, but I don't have time to write right now. I will reply in full later, within a day or two. I will also address your recent comments and questions. Thank you. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21320 That's more work for @ajacques though on the other hand. Either way works fine. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user Gauravshah commented on the issue: https://github.com/apache/spark/pull/21320 Or @ajacques can open a PR to Mallman's branch and he can merge it. Makes it less work work for him --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21320 Another way is you rebase @ajacques's commit here and he push some changes into here since you refuse to address some comments here. I still don't understand why refuse this though. if that's only way to address them, we can go this way too. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21320 @mallman, can you close this one and put some changes into @ajacques branch then? no point of opening duplicated changes. Since @ajacques is at least willing to address other comments including styles in https://github.com/apache/spark/pull/21889, we will go with that PR in any event. Right? If you are willing to update this PR, please address style comments here too. Otherwise, let me just close this and deduplicate the effort. What's the point of leaving this PR open? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21320 > the window of opportunity to review syntax and style in this PR closed long ago. Why/when is this window closed? Who closed that? This project claims a set of specific styles and they should better be fixed if more changes should be fixed. You stated that you refuse to deal with non-style comments too, right? For example, enabling the default value to see if any test is broken, or getting rid of weird hacks with `withSQL` in the tests. These are not style nits. Even, nits should better be addressed. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user mallman commented on the issue: https://github.com/apache/spark/pull/21320 > Then should we keep this one or #21889? shall we deduplicate the efforts? I requested to open that because this looks going to be inactive per your comments. As I stated before, I'll continue pushing changes to this branch. However, the window of opportunity to review syntax and style in this PR closed long ago. If someone wants to put forward that kind of comment for review I will consider it at my discretion. I'm not going to guarantee action or even a response. If someone relays a bug or a concern regarding correctness or performance, I will address it. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21320 Then should we keep this one or https://github.com/apache/spark/pull/21889? shall we deduplicate the efforts? I requested to open that because this looks going to be inactive per your comments. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user mallman commented on the issue: https://github.com/apache/spark/pull/21320 > @mallman, can we close this PR? Are you willing to update here or not? I pushed an update less than a day ago, and I intend to continue pushing updates as needed. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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