[SPARK-33482][SPARK-34756][SQL] Fix FileScan equality check #31848

peter-toth · 2021-03-16T08:30:42Z

What changes were proposed in this pull request?

This bug was introduced by SPARK-30428 at Apache Spark 3.0.0.
This PR fixes FileScan.equals().

Why are the changes needed?

Without this fix FileScan.equals doesn't take fileIndex and readSchema into account.
Partition filters and data filters added to FileScan (in [SPARK-30428][SQL] File source V2: support partition pruning #27112 and [SPARK-30475][SQL] File source V2: Push data filters for file listing #27157) caused that canonicalized form of some BatchScanExec nodes don't match and this prevents some reuse possibilities.

Does this PR introduce any user-facing change?

Yes, before this fix incorrect reuse of FileScan and so BatchScanExec could have happed causing correctness issues.

How was this patch tested?

Added new UTs.

peter-toth · 2021-03-16T08:37:59Z

@dongjoon-hyun, you asked for a UT in #31820 (review), shall I create a simple one focusing on .equals() (I wonder where is the right place for such a test?) or shall shall I create an e2e test where a correctness issue is shown and fixed?

cloud-fan · 2021-03-16T09:13:56Z

sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileScan.scala

@@ -86,7 +86,7 @@ trait FileScan extends Scan

  override def equals(obj: Any): Boolean = obj match {
    case f: FileScan =>
-      fileIndex == f.fileIndex && readSchema == f.readSchema
+      fileIndex == f.fileIndex && readSchema == f.readSchema &&
        ExpressionSet(partitionFilters) == ExpressionSet(f.partitionFilters) &&
        ExpressionSet(dataFilters) == ExpressionSet(f.dataFilters)


shall we canonicalize the filters here to fix the exchange reuse issue?

But don't we need the output of the ScanExec (BatchScanExec) node to do that?
I need to look into this a bit...

You are right. Then it's hard to canonicalize Scan implementations that are outside of Spark...

Thinking about it a bit more, do we really need output? We can canonicalize expr IDs to 0 and only look at the column name.

Yes, I was thinking about the same. I will try to do this today.

I was thinking about a change like in f65ebe3.
That way we don't need to duplicate some parts of the canonicalization logic defined in QueryPlan.normalizeExpressions and in Expression.canonicalized (Canonicalize.expressionReorder, Canonicalize.ignoreTimeZone)...

If this looks ok to you then I can add UTs for .equals() into a new FileScanSuite as @dongjoon-hyun suggested and move the e2e UT from #31820 to here as we don't need the other change in BatchScanExec.

dongjoon-hyun · 2021-03-16T17:01:29Z

Thank you, @peter-toth . I prefer a simple one focusing on .equals() only.

@dongjoon-hyun, you asked for a UT in #31820 (review), shall I create a simple one focusing on .equals() (I wonder where is the right place for such a test?) or shall shall I create an e2e test where a correctness issue is shown and fixed?

dongjoon-hyun · 2021-03-16T17:16:57Z

For the following question, yes, it seems that we don't have a proper one yet. If we don't have a proper test suite, shall we make one like FileScanSuite? I guess the new test suite need to cover all the following implementations: ParquetScan, OrcScan, CSVScan, JsonScan, TextScan, AvroScan.

I wonder where is the right place for such a test?

cloud-fan · 2021-03-17T06:19:16Z

sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileScan.scala

+    val dataFiltersAttributes = AttributeSet(dataFilters).map(a => a.name -> a).toMap
+    val normalizedPartitionFilters = ExpressionSet(partitionFilters.map(
+      QueryPlan.normalizeExpressions(_, output.map(a =>
+        partitionFilterAttributes.getOrElse(a.name, a)))))


shall we consider case sensitivity here?

or the attr name inside the data/partitionFilterAttributes have been normalized already before?

I think we shall, added in 776828e

peter-toth · 2021-03-17T17:20:54Z

For the following question, yes, it seems that we don't have a proper one yet. If we don't have a proper test suite, shall we make one like FileScanSuite? I guess the new test suite need to cover all the following implementations: ParquetScan, OrcScan, CSVScan, JsonScan, TextScan, AvroScan.

I wonder where is the right place for such a test?

Thanks @dongjoon-hyun, I will try to update this PR with new tests this week.

…756-fix-filescan-equality-check # Conflicts: # sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala

peter-toth · 2021-03-18T17:55:42Z

@dongjoon-hyun I added new UTs in 9711da0

peter-toth · 2021-03-18T18:05:20Z

sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileScan.scala

+        output.map(a => dataFiltersAttributes.getOrElse(a.name, a)))))
+    (normalizedPartitionFilters, normalizedDataFilters)
+  }
+
  override def equals(obj: Any): Boolean = obj match {


Shall I update hashCode() as well? Looks like we can easily come up with a better one...

Shall we do that separately because it's irrelevant to the correctness issue?
In general, we expect a performance improvement with that, don't we?
Apache Spark doesn't allow to backport performance improvement.

Please file a new JIRA and go for it, @peter-toth ! :)

dongjoon-hyun · 2021-03-18T18:18:10Z

Thank you for update, @peter-toth !

dongjoon-hyun · 2021-03-18T18:27:01Z

sql/core/src/test/scala/org/apache/spark/sql/FileScanSuite.scala

+import org.apache.spark.sql.types.{IntegerType, StructField, StructType}
+import org.apache.spark.sql.util.CaseInsensitiveStringMap
+
+trait FileScanSuiteBase extends SharedSparkSession {


This looks nice!

SparkQA · 2021-03-18T18:37:05Z

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dongjoon-hyun · 2021-03-18T19:46:08Z

sql/core/src/test/scala/org/apache/spark/sql/FileScanSuite.scala

+    val readPartitionSchema = StructType(Seq(StructField("partition", IntegerType, false)))
+    val readPartitionSchemaNotEqual = StructType(Seq(
+      StructField("partition", IntegerType, false),
+      StructField("other", IntegerType, false)))


In this case, the shorter is the better. Could you use the following style?

- val dataSchema = StructType(Seq( - StructField("data", IntegerType, false), - StructField("partition", IntegerType, false), - StructField("other", IntegerType, false))) - val dataSchemaNotEqual = StructType(Seq( - StructField("data", IntegerType, false), - StructField("partition", IntegerType, false), - StructField("other", IntegerType, false), - StructField("new", IntegerType, false))) - val readDataSchema = StructType(Seq(StructField("data", IntegerType, false))) - val readDataSchemaNotEqual = StructType(Seq( - StructField("data", IntegerType, false), - StructField("other", IntegerType, false))) - val readPartitionSchema = StructType(Seq(StructField("partition", IntegerType, false))) - val readPartitionSchemaNotEqual = StructType(Seq( - StructField("partition", IntegerType, false), - StructField("other", IntegerType, false))) + val dataSchema = StructType.fromDDL("data INT, partition INT, other INT") + val dataSchemaNotEqual = StructType.fromDDL("data INT, partition INT, other INT, new INT") + val readDataSchema = StructType.fromDDL("data INT") + val readDataSchemaNotEqual = StructType.fromDDL("data INT, other INT") + val readPartitionSchema = StructType.fromDDL("partition INT") + val readPartitionSchemaNotEqual = StructType.fromDDL("partition INT, other INT")

Thanks @dongjoon-hyun, I updated the PR with this change in: d782723

dongjoon-hyun

Well. The PR is not merged back into a single PR for both issues.
Since this is merged by @cloud-fan 's request, I'm fine and I'll leave this to him.
Thank you, @peter-toth and @cloud-fan .

SparkQA · 2021-03-19T10:52:44Z

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cloud-fan · 2021-03-19T13:40:59Z

sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileScan.scala

@@ -84,11 +85,25 @@ trait FileScan extends Scan

  protected def seqToString(seq: Seq[Any]): String = seq.mkString("[", ", ", "]")

+  private lazy val (normalizedPartitionFilters, normalizedDataFilters) = {
+    val output = readSchema().toAttributes.map(a => a.withName(normalizeName(a.name)))


Thinking about it again, the FileScan equality already considers fileIndex and readSchema, which means 2 file scans only equal to each other if they read the same set of files and the same set of columns.

Given that, I think the expr IDs do not matter for filters, only the column name matters. For normal v2 sources, they use Filter not Expression, which do not have expr IDs either.

The data/partition filters are created in PruneFileSourcePartitions(see https://github.com/apache/spark/blob/v3.1.1/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PruneFileSourcePartitions.scala#L51), and the column names inside filters are already normalized w.r.t. the actual file scan output schema, so we don't need to consider case sensitivity here.

That said, I think the normalize logic here should be very simple: just turn expr IDs to 0.

I see your point and agree that name is that matters in these Filter like Expressions but if we go this way then I think:

we also need to clear other properties of AttributeReferences like qualifier

we need to either explicitly sort partitionFilters and dataFilters expression lists (probably with .sortBy(_.hashCode())) to make sure they match with f.partitionFilters and f.dataFilters, or use Set(partitionFilters) == Set(f.partitionFilters) because we can't use ExpressionSet(partitionFilters) == ExpressionSet(f.partitionFilters) as we removed all expr ids

we need to reorder all descendants of each partitionFilters and dataFilters expression (with Canonicalize.expressionReorder() to make sure like id = 1 matches with 1 = id (and Canonicalize.ignoreTimeZone() also needs to be applied)

And just a side note that I think we could do most of the above at https://github.com/apache/spark/blob/v3.1.1/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PruneFileSourcePartitions.scala#L120-L121 before withFilters() and then FileScan.equals() became very simple.

But I wonder all these changes are simpler than the current PR?

Good point. For simplicity maybe we should just assign fresh expr IDs like what this PR did, but we can remove the case sensitivity handling here.

Ok, removed in 30d2d8b

SparkQA · 2021-03-19T14:26:37Z

Test build #136253 has finished for PR 31848 at commit d782723.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

…756-fix-filescan-equality-check # Conflicts: # sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala

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cloud-fan · 2021-03-22T13:22:18Z

sql/core/src/test/scala/org/apache/spark/sql/FileScanSuite.scala

+      test(s"SPARK-33482: Test $name equals") {
+        val partitioningAwareFileIndex = newPartitioningAwareFileIndex()
+
+        val parquetScan = scanBuilder(


parquetScan -> fileScan?

Fixed in 0d38ac2

SparkQA · 2021-03-22T14:41:33Z

Test build #136340 has finished for PR 31848 at commit 30d2d8b.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

SparkQA · 2021-03-22T15:16:32Z

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SparkQA · 2021-03-22T19:00:46Z

Test build #136349 has finished for PR 31848 at commit 0d38ac2.

This patch passes all tests.
This patch merges cleanly.
This patch adds no public classes.

cloud-fan · 2021-03-23T09:01:14Z

thanks, merging to master/3.1/3.0!

### What changes were proposed in this pull request? This bug was introduced by SPARK-30428 at Apache Spark 3.0.0. This PR fixes `FileScan.equals()`. ### Why are the changes needed? - Without this fix `FileScan.equals` doesn't take `fileIndex` and `readSchema` into account. - Partition filters and data filters added to `FileScan` (in #27112 and #27157) caused that canonicalized form of some `BatchScanExec` nodes don't match and this prevents some reuse possibilities. ### Does this PR introduce _any_ user-facing change? Yes, before this fix incorrect reuse of `FileScan` and so `BatchScanExec` could have happed causing correctness issues. ### How was this patch tested? Added new UTs. Closes #31848 from peter-toth/SPARK-34756-fix-filescan-equality-check. Authored-by: Peter Toth <peter.toth@gmail.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> (cherry picked from commit 93a5d34) Signed-off-by: Wenchen Fan <wenchen@databricks.com>

peter-toth · 2021-03-23T09:02:41Z

Thanks @cloud-fan and @dongjoon-hyun for the review.

This bug was introduced by SPARK-30428 at Apache Spark 3.0.0. This PR fixes `FileScan.equals()`. - Without this fix `FileScan.equals` doesn't take `fileIndex` and `readSchema` into account. - Partition filters and data filters added to `FileScan` (in #27112 and #27157) caused that canonicalized form of some `BatchScanExec` nodes don't match and this prevents some reuse possibilities. Yes, before this fix incorrect reuse of `FileScan` and so `BatchScanExec` could have happed causing correctness issues. Added new UTs. Closes #31848 from peter-toth/SPARK-34756-fix-filescan-equality-check. Authored-by: Peter Toth <peter.toth@gmail.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> (cherry picked from commit 93a5d34) Signed-off-by: Wenchen Fan <wenchen@databricks.com>

dongjoon-hyun · 2021-03-23T10:55:17Z

Thank you, @peter-toth and @cloud-fan .

dongjoon-hyun · 2021-03-23T17:57:01Z

It seems this breaks branch-3.0.

[error] /Users/dongjoon/APACHE/spark-merge/external/avro/src/test/scala/org/apache/spark/sql/avro/AvroScanSuite.scala:26: one more argument than can be applied to method apply: (sparkSession: org.apache.spark.sql.SparkSession, fileIndex: org.apache.spark.sql.execution.datasources.PartitioningAwareFileIndex, dataSchema: org.apache.spark.sql.types.StructType, readDataSchema: org.apache.spark.sql.types.StructType, readPartitionSchema: org.apache.spark.sql.types.StructType, options: org.apache.spark.sql.util.CaseInsensitiveStringMap, partitionFilters: Seq[org.apache.spark.sql.catalyst.expressions.Expression], dataFilters: Seq[org.apache.spark.sql.catalyst.expressions.Expression])org.apache.spark.sql.v2.avro.AvroScan in object AvroScan
[error]       (s, fi, ds, rds, rps, f, o, pf, df) => AvroScan(s, fi, ds, rds, rps, o, f, pf, df),
[error]                                                                                      ^
[error] one error found

I'll revert it first at branch-3.0. Please make a backporting PR to branch-3.0, @peter-toth .

This bug was introduced by SPARK-30428 at Apache Spark 3.0.0. This PR fixes `FileScan.equals()`. - Without this fix `FileScan.equals` doesn't take `fileIndex` and `readSchema` into account. - Partition filters and data filters added to `FileScan` (in apache#27112 and apache#27157) caused that canonicalized form of some `BatchScanExec` nodes don't match and this prevents some reuse possibilities. Yes, before this fix incorrect reuse of `FileScan` and so `BatchScanExec` could have happed causing correctness issues. Added new UTs. Closes apache#31848 from peter-toth/SPARK-34756-fix-filescan-equality-check. Authored-by: Peter Toth <peter.toth@gmail.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> (cherry picked from commit 93a5d34) Signed-off-by: Wenchen Fan <wenchen@databricks.com>

peter-toth · 2021-03-24T09:19:38Z

It seems this breaks branch-3.0.

[error] /Users/dongjoon/APACHE/spark-merge/external/avro/src/test/scala/org/apache/spark/sql/avro/AvroScanSuite.scala:26: one more argument than can be applied to method apply: (sparkSession: org.apache.spark.sql.SparkSession, fileIndex: org.apache.spark.sql.execution.datasources.PartitioningAwareFileIndex, dataSchema: org.apache.spark.sql.types.StructType, readDataSchema: org.apache.spark.sql.types.StructType, readPartitionSchema: org.apache.spark.sql.types.StructType, options: org.apache.spark.sql.util.CaseInsensitiveStringMap, partitionFilters: Seq[org.apache.spark.sql.catalyst.expressions.Expression], dataFilters: Seq[org.apache.spark.sql.catalyst.expressions.Expression])org.apache.spark.sql.v2.avro.AvroScan in object AvroScan
[error]       (s, fi, ds, rds, rps, f, o, pf, df) => AvroScan(s, fi, ds, rds, rps, o, f, pf, df),
[error]                                                                                      ^
[error] one error found

I'll revert it first at branch-3.0. Please make a backporting PR to branch-3.0, @peter-toth .

@dongjoon-hyun, I've opened a 3.0 backport PR here: #31952

### What changes were proposed in this pull request? This bug was introduced by SPARK-30428 at Apache Spark 3.0.0. This PR fixes `FileScan.equals()`. ### Why are the changes needed? - Without this fix `FileScan.equals` doesn't take `fileIndex` and `readSchema` into account. - Partition filters and data filters added to `FileScan` (in apache#27112 and apache#27157) caused that canonicalized form of some `BatchScanExec` nodes don't match and this prevents some reuse possibilities. ### Does this PR introduce _any_ user-facing change? Yes, before this fix incorrect reuse of `FileScan` and so `BatchScanExec` could have happed causing correctness issues. ### How was this patch tested? Added new UTs. Closes apache#31848 from peter-toth/SPARK-34756-fix-filescan-equality-check. Authored-by: Peter Toth <peter.toth@gmail.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> (cherry picked from commit 93a5d34) Signed-off-by: Wenchen Fan <wenchen@databricks.com>

… filter columns are not read ### What changes were proposed in this pull request? Unfortunately the fix in #31848 was not correct in all cases. When the partition or data filter contains a column that is not in `readSchema()` the filter nornalization in `FileScan.equals()` doesn't work. ### Why are the changes needed? To fix `FileScan.equals()` to fix reuse issues. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Added new UT. Closes #37693 from peter-toth/SPARK-40245-fix-filescan-equals. Authored-by: Peter Toth <ptoth@cloudera.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com>

… filter columns are not read ### What changes were proposed in this pull request? Unfortunately the fix in apache/spark#31848 was not correct in all cases. When the partition or data filter contains a column that is not in `readSchema()` the filter nornalization in `FileScan.equals()` doesn't work. ### Why are the changes needed? To fix `FileScan.equals()` to fix reuse issues. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Added new UT. Closes #37693 from peter-toth/SPARK-40245-fix-filescan-equals. Authored-by: Peter Toth <ptoth@cloudera.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com>

[SPARK-34756][SQL] Fix FileScan equality check

e1a9722

peter-toth mentioned this pull request Mar 16, 2021

[SPARK-33482][SQL] Fix FileScan canonicalization #31820

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cloud-fan reviewed Mar 16, 2021

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github-actions bot added the SQL label Mar 16, 2021

normalize filters in FileScan.equals()

f65ebe3

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peter-toth added 2 commits March 17, 2021 18:09

add attribute name normalization

776828e

add e3e test

6709185

peter-toth added 2 commits March 18, 2021 18:46

Merge commit '2e836cdb598255d6b43b386e98fcb79b70338e69' into SPARK-34…

b631350

…756-fix-filescan-equality-check # Conflicts: # sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala

add FileScanSuite and AvroScanSuite

9711da0

peter-toth force-pushed the SPARK-34756-fix-filescan-equality-check branch from 3dc22fd to 9711da0 Compare March 18, 2021 17:50

peter-toth changed the title ~~[SPARK-34756][SQL] Fix FileScan equality check~~ [SPARK-33482][SPARK-34756][SQL] Fix FileScan equality check Mar 18, 2021

peter-toth commented Mar 18, 2021

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github-actions bot added the AVRO label Mar 19, 2021

compact test code

d782723

cloud-fan reviewed Mar 19, 2021

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peter-toth added 2 commits March 22, 2021 10:01

Merge commit '7953fcdb56abd2e574ea7fdfed925fe06dffdec0' into SPARK-34…

241e6e4

…756-fix-filescan-equality-check # Conflicts: # sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala

remove the case sensitivity handling

30d2d8b

cloud-fan reviewed Mar 22, 2021

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cloud-fan approved these changes Mar 22, 2021

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fix naming

0d38ac2

cloud-fan closed this in 93a5d34 Mar 23, 2021

peter-toth mentioned this pull request Aug 27, 2022

[SPARK-40245][SQL] Fix FileScan equality check when partition or data filter columns are not read #37693

Closed

[SPARK-33482][SPARK-34756][SQL] Fix FileScan equality check #31848

[SPARK-33482][SPARK-34756][SQL] Fix FileScan equality check #31848

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What changes were proposed in this pull request?

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Does this PR introduce any user-facing change?

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