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Posted to reviews@spark.apache.org by "aokolnychyi (via GitHub)" <gi...@apache.org> on 2025/12/12 02:46:10 UTC
[PR] [SPARK-54686][SQL] Relax DSv2 table checks in temp views to allow new top-level columns [spark]
aokolnychyi opened a new pull request, #53450:
URL: https://github.com/apache/spark/pull/53450
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### What changes were proposed in this pull request?
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This PR relaxes DSv2 table checks in temp views to allow new top-level columns.
### Why are the changes needed?
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Please clarify why the changes are needed. For instance,
1. If you propose a new API, clarify the use case for a new API.
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These changes are needed to avoid regressions introduced in upcoming 4.1. The newly added table checks are too strict. We should follow the SQL view behavior and allow top-level columns.
### Does this PR introduce _any_ user-facing change?
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Note that it means *any* user-facing change including all aspects such as new features, bug fixes, or other behavior changes. Documentation-only updates are not considered user-facing changes.
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Yes but for unreleased functionality.
### How was this patch tested?
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Existing + new tests.
### Was this patch authored or co-authored using generative AI tooling?
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No.
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Re: [PR] [SPARK-54686][SQL] Relax DSv2 table checks in temp views to allow new top-level columns [spark]
Posted by "gengliangwang (via GitHub)" <gi...@apache.org>.
gengliangwang closed pull request #53450: [SPARK-54686][SQL] Relax DSv2 table checks in temp views to allow new top-level columns
URL: https://github.com/apache/spark/pull/53450
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Re: [PR] [SPARK-54686][SQL] Relax DSv2 table checks in temp views to allow new top-level columns [spark]
Posted by "gengliangwang (via GitHub)" <gi...@apache.org>.
gengliangwang commented on code in PR #53450:
URL: https://github.com/apache/spark/pull/53450#discussion_r2615606788
##########
sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/V2TableUtilSuite.scala:
##########
@@ -529,6 +530,86 @@ class V2TableUtilSuite extends SparkFunSuite {
assert(errors.head == "`person`.`attrs`.`value` type has changed from INT to BIGINT")
}
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS allows top-level additions") {
+ val originCols = Array(
+ col("id", LongType, nullable = false),
+ col("name", StringType, nullable = true))
+ val currentCols = Array(
+ col("id", LongType, nullable = false),
+ col("name", StringType, nullable = true),
+ col("age", IntegerType, nullable = true))
+ val table = TestTableWithMetadataSupport("test", currentCols)
+
+ val errors = validateCapturedColumns(table, originCols, ALLOW_NEW_TOP_LEVEL_FIELDS)
+ assert(errors.isEmpty)
+ }
+
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS prohibits nested additions") {
+ val originAddress = StructType(Seq(
+ StructField("street", StringType),
+ StructField("city", StringType)))
+ val originCols = Array(
+ col("id", LongType, nullable = false),
+ col("address", originAddress, nullable = true))
+ val currentAddress = StructType(Seq(
+ StructField("street", StringType),
+ StructField("city", StringType),
+ StructField("zipCode", StringType)))
+ val currentCols = Array(
+ col("id", LongType, nullable = false),
+ col("address", currentAddress, nullable = true))
+ val table = TestTableWithMetadataSupport("test", currentCols)
+
+ val errors = validateCapturedColumns(table, originCols, ALLOW_NEW_TOP_LEVEL_FIELDS)
+ assert(errors.size == 1)
+ assert(errors.head.contains("`address`.`zipCode` STRING has been added"))
+ }
+
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS prohibits nested arr additions") {
Review Comment:
It's ok to have two lines for a test case name
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Re: [PR] [SPARK-54686][SQL] Relax DSv2 table checks in temp views to allow new top-level columns [spark]
Posted by "gengliangwang (via GitHub)" <gi...@apache.org>.
gengliangwang commented on code in PR #53450:
URL: https://github.com/apache/spark/pull/53450#discussion_r2615786071
##########
sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/V2TableUtilSuite.scala:
##########
@@ -529,6 +530,86 @@ class V2TableUtilSuite extends SparkFunSuite {
assert(errors.head == "`person`.`attrs`.`value` type has changed from INT to BIGINT")
}
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS allows top-level additions") {
+ val originCols = Array(
+ col("id", LongType, nullable = false),
+ col("name", StringType, nullable = true))
+ val currentCols = Array(
+ col("id", LongType, nullable = false),
+ col("name", StringType, nullable = true),
+ col("age", IntegerType, nullable = true))
+ val table = TestTableWithMetadataSupport("test", currentCols)
+
+ val errors = validateCapturedColumns(table, originCols, ALLOW_NEW_TOP_LEVEL_FIELDS)
+ assert(errors.isEmpty)
+ }
+
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS prohibits nested additions") {
+ val originAddress = StructType(Seq(
+ StructField("street", StringType),
+ StructField("city", StringType)))
+ val originCols = Array(
+ col("id", LongType, nullable = false),
+ col("address", originAddress, nullable = true))
+ val currentAddress = StructType(Seq(
+ StructField("street", StringType),
+ StructField("city", StringType),
+ StructField("zipCode", StringType)))
+ val currentCols = Array(
+ col("id", LongType, nullable = false),
+ col("address", currentAddress, nullable = true))
+ val table = TestTableWithMetadataSupport("test", currentCols)
+
+ val errors = validateCapturedColumns(table, originCols, ALLOW_NEW_TOP_LEVEL_FIELDS)
+ assert(errors.size == 1)
+ assert(errors.head.contains("`address`.`zipCode` STRING has been added"))
+ }
+
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS prohibits nested arr additions") {
Review Comment:
It is ok to have another round of CI (mostlhy the scalalint job)
I will watch this PR and merge it today
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Re: [PR] [SPARK-54686][SQL] Relax DSv2 table checks in temp views to allow new top-level columns [spark]
Posted by "aokolnychyi (via GitHub)" <gi...@apache.org>.
aokolnychyi commented on code in PR #53450:
URL: https://github.com/apache/spark/pull/53450#discussion_r2615127541
##########
sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/V2TableUtilSuite.scala:
##########
@@ -529,6 +530,86 @@ class V2TableUtilSuite extends SparkFunSuite {
assert(errors.head == "`person`.`attrs`.`value` type has changed from INT to BIGINT")
}
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS allows top-level additions") {
+ val originCols = Array(
+ col("id", LongType, nullable = false),
+ col("name", StringType, nullable = true))
+ val currentCols = Array(
+ col("id", LongType, nullable = false),
+ col("name", StringType, nullable = true),
+ col("age", IntegerType, nullable = true))
+ val table = TestTableWithMetadataSupport("test", currentCols)
+
+ val errors = validateCapturedColumns(table, originCols, ALLOW_NEW_TOP_LEVEL_FIELDS)
+ assert(errors.isEmpty)
+ }
+
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS prohibits nested additions") {
+ val originAddress = StructType(Seq(
+ StructField("street", StringType),
+ StructField("city", StringType)))
+ val originCols = Array(
+ col("id", LongType, nullable = false),
+ col("address", originAddress, nullable = true))
+ val currentAddress = StructType(Seq(
+ StructField("street", StringType),
+ StructField("city", StringType),
+ StructField("zipCode", StringType)))
+ val currentCols = Array(
+ col("id", LongType, nullable = false),
+ col("address", currentAddress, nullable = true))
+ val table = TestTableWithMetadataSupport("test", currentCols)
+
+ val errors = validateCapturedColumns(table, originCols, ALLOW_NEW_TOP_LEVEL_FIELDS)
+ assert(errors.size == 1)
+ assert(errors.head.contains("`address`.`zipCode` STRING has been added"))
+ }
+
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS prohibits nested arr additions") {
Review Comment:
This would make the line longer 100 chars and fail the checks.
##########
sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/V2TableUtilSuite.scala:
##########
@@ -529,6 +530,86 @@ class V2TableUtilSuite extends SparkFunSuite {
assert(errors.head == "`person`.`attrs`.`value` type has changed from INT to BIGINT")
}
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS allows top-level additions") {
+ val originCols = Array(
+ col("id", LongType, nullable = false),
+ col("name", StringType, nullable = true))
+ val currentCols = Array(
+ col("id", LongType, nullable = false),
+ col("name", StringType, nullable = true),
+ col("age", IntegerType, nullable = true))
+ val table = TestTableWithMetadataSupport("test", currentCols)
+
+ val errors = validateCapturedColumns(table, originCols, ALLOW_NEW_TOP_LEVEL_FIELDS)
+ assert(errors.isEmpty)
+ }
+
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS prohibits nested additions") {
+ val originAddress = StructType(Seq(
+ StructField("street", StringType),
+ StructField("city", StringType)))
+ val originCols = Array(
+ col("id", LongType, nullable = false),
+ col("address", originAddress, nullable = true))
+ val currentAddress = StructType(Seq(
+ StructField("street", StringType),
+ StructField("city", StringType),
+ StructField("zipCode", StringType)))
+ val currentCols = Array(
+ col("id", LongType, nullable = false),
+ col("address", currentAddress, nullable = true))
+ val table = TestTableWithMetadataSupport("test", currentCols)
+
+ val errors = validateCapturedColumns(table, originCols, ALLOW_NEW_TOP_LEVEL_FIELDS)
+ assert(errors.size == 1)
+ assert(errors.head.contains("`address`.`zipCode` STRING has been added"))
+ }
+
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS prohibits nested arr additions") {
Review Comment:
This would make the line longer than 100 chars and fail the checks.
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Re: [PR] [SPARK-54686][SQL] Relax DSv2 table checks in temp views to allow new top-level columns [spark]
Posted by "cloud-fan (via GitHub)" <gi...@apache.org>.
cloud-fan commented on code in PR #53450:
URL: https://github.com/apache/spark/pull/53450#discussion_r2612801381
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/V2TableReference.scala:
##########
@@ -120,7 +121,10 @@ private[sql] object V2TableReferenceUtils extends SQLConfHelper {
ctx: TemporaryViewContext): Unit = {
val tableName = ref.identifier.toQualifiedNameParts(ref.catalog)
- val dataErrors = V2TableUtil.validateCapturedColumns(table, ref.info.columns)
+ val dataErrors = V2TableUtil.validateCapturedColumns(
+ table,
+ ref.info.columns,
+ mode = ALLOW_NEW_TOP_LEVEL_FIELDS)
Review Comment:
ideally we should allow both new columns and fields. But the implementation is non-trivial as we need to rewrite the struct instead of a simple project list.
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Re: [PR] [SPARK-54686][SQL] Relax DSv2 table checks in temp views to allow new top-level columns [spark]
Posted by "aokolnychyi (via GitHub)" <gi...@apache.org>.
aokolnychyi commented on code in PR #53450:
URL: https://github.com/apache/spark/pull/53450#discussion_r2612722260
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/V2TableReference.scala:
##########
@@ -120,7 +121,10 @@ private[sql] object V2TableReferenceUtils extends SQLConfHelper {
ctx: TemporaryViewContext): Unit = {
val tableName = ref.identifier.toQualifiedNameParts(ref.catalog)
- val dataErrors = V2TableUtil.validateCapturedColumns(table, ref.info.columns)
+ val dataErrors = V2TableUtil.validateCapturedColumns(
+ table,
+ ref.info.columns,
+ mode = ALLOW_NEW_TOP_LEVEL_FIELDS)
Review Comment:
This should be the SQL view behavior.
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Re: [PR] [SPARK-54686][SQL] Relax DSv2 table checks in temp views to allow new top-level columns [spark]
Posted by "cloud-fan (via GitHub)" <gi...@apache.org>.
cloud-fan commented on code in PR #53450:
URL: https://github.com/apache/spark/pull/53450#discussion_r2612803170
##########
sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/V2TableUtilSuite.scala:
##########
@@ -529,6 +530,86 @@ class V2TableUtilSuite extends SparkFunSuite {
assert(errors.head == "`person`.`attrs`.`value` type has changed from INT to BIGINT")
}
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS allows top-level additions") {
+ val originCols = Array(
+ col("id", LongType, nullable = false),
+ col("name", StringType, nullable = true))
+ val currentCols = Array(
+ col("id", LongType, nullable = false),
+ col("name", StringType, nullable = true),
+ col("age", IntegerType, nullable = true))
+ val table = TestTableWithMetadataSupport("test", currentCols)
+
+ val errors = validateCapturedColumns(table, originCols, ALLOW_NEW_TOP_LEVEL_FIELDS)
+ assert(errors.isEmpty)
+ }
+
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS prohibits nested additions") {
+ val originAddress = StructType(Seq(
+ StructField("street", StringType),
+ StructField("city", StringType)))
+ val originCols = Array(
+ col("id", LongType, nullable = false),
+ col("address", originAddress, nullable = true))
+ val currentAddress = StructType(Seq(
+ StructField("street", StringType),
+ StructField("city", StringType),
+ StructField("zipCode", StringType)))
+ val currentCols = Array(
+ col("id", LongType, nullable = false),
+ col("address", currentAddress, nullable = true))
+ val table = TestTableWithMetadataSupport("test", currentCols)
+
+ val errors = validateCapturedColumns(table, originCols, ALLOW_NEW_TOP_LEVEL_FIELDS)
+ assert(errors.size == 1)
+ assert(errors.head.contains("`address`.`zipCode` STRING has been added"))
+ }
+
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS prohibits nested arr additions") {
Review Comment:
```suggestion
test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS prohibits nested array additions") {
```
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Re: [PR] [SPARK-54686][SQL] Relax DSv2 table checks in temp views to allow new top-level columns [spark]
Posted by "cloud-fan (via GitHub)" <gi...@apache.org>.
cloud-fan commented on code in PR #53450:
URL: https://github.com/apache/spark/pull/53450#discussion_r2616048720
##########
sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/V2TableUtilSuite.scala:
##########
@@ -529,6 +530,86 @@ class V2TableUtilSuite extends SparkFunSuite {
assert(errors.head == "`person`.`attrs`.`value` type has changed from INT to BIGINT")
}
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS allows top-level additions") {
+ val originCols = Array(
+ col("id", LongType, nullable = false),
+ col("name", StringType, nullable = true))
+ val currentCols = Array(
+ col("id", LongType, nullable = false),
+ col("name", StringType, nullable = true),
+ col("age", IntegerType, nullable = true))
+ val table = TestTableWithMetadataSupport("test", currentCols)
+
+ val errors = validateCapturedColumns(table, originCols, ALLOW_NEW_TOP_LEVEL_FIELDS)
+ assert(errors.isEmpty)
+ }
+
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS prohibits nested additions") {
+ val originAddress = StructType(Seq(
+ StructField("street", StringType),
+ StructField("city", StringType)))
+ val originCols = Array(
+ col("id", LongType, nullable = false),
+ col("address", originAddress, nullable = true))
+ val currentAddress = StructType(Seq(
+ StructField("street", StringType),
+ StructField("city", StringType),
+ StructField("zipCode", StringType)))
+ val currentCols = Array(
+ col("id", LongType, nullable = false),
+ col("address", currentAddress, nullable = true))
+ val table = TestTableWithMetadataSupport("test", currentCols)
+
+ val errors = validateCapturedColumns(table, originCols, ALLOW_NEW_TOP_LEVEL_FIELDS)
+ assert(errors.size == 1)
+ assert(errors.head.contains("`address`.`zipCode` STRING has been added"))
+ }
+
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS prohibits nested arr additions") {
Review Comment:
to make the names shorter:
```
validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS allows new cols
validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS fails new fields
validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS fails new fields in array
...
```
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Re: [PR] [SPARK-54686][SQL] Relax DSv2 table checks in temp views to allow new top-level columns [spark]
Posted by "aokolnychyi (via GitHub)" <gi...@apache.org>.
aokolnychyi commented on code in PR #53450:
URL: https://github.com/apache/spark/pull/53450#discussion_r2621171226
##########
sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/V2TableUtilSuite.scala:
##########
@@ -529,6 +530,86 @@ class V2TableUtilSuite extends SparkFunSuite {
assert(errors.head == "`person`.`attrs`.`value` type has changed from INT to BIGINT")
}
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS allows top-level additions") {
+ val originCols = Array(
+ col("id", LongType, nullable = false),
+ col("name", StringType, nullable = true))
+ val currentCols = Array(
+ col("id", LongType, nullable = false),
+ col("name", StringType, nullable = true),
+ col("age", IntegerType, nullable = true))
+ val table = TestTableWithMetadataSupport("test", currentCols)
+
+ val errors = validateCapturedColumns(table, originCols, ALLOW_NEW_TOP_LEVEL_FIELDS)
+ assert(errors.isEmpty)
+ }
+
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS prohibits nested additions") {
+ val originAddress = StructType(Seq(
+ StructField("street", StringType),
+ StructField("city", StringType)))
+ val originCols = Array(
+ col("id", LongType, nullable = false),
+ col("address", originAddress, nullable = true))
+ val currentAddress = StructType(Seq(
+ StructField("street", StringType),
+ StructField("city", StringType),
+ StructField("zipCode", StringType)))
+ val currentCols = Array(
+ col("id", LongType, nullable = false),
+ col("address", currentAddress, nullable = true))
+ val table = TestTableWithMetadataSupport("test", currentCols)
+
+ val errors = validateCapturedColumns(table, originCols, ALLOW_NEW_TOP_LEVEL_FIELDS)
+ assert(errors.size == 1)
+ assert(errors.head.contains("`address`.`zipCode` STRING has been added"))
+ }
+
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS prohibits nested arr additions") {
Review Comment:
I updated.
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Re: [PR] [SPARK-54686][SQL] Relax DSv2 table checks in temp views to allow new top-level columns [spark]
Posted by "aokolnychyi (via GitHub)" <gi...@apache.org>.
aokolnychyi commented on code in PR #53450:
URL: https://github.com/apache/spark/pull/53450#discussion_r2615780829
##########
sql/catalyst/src/test/scala/org/apache/spark/sql/connector/catalog/V2TableUtilSuite.scala:
##########
@@ -529,6 +530,86 @@ class V2TableUtilSuite extends SparkFunSuite {
assert(errors.head == "`person`.`attrs`.`value` type has changed from INT to BIGINT")
}
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS allows top-level additions") {
+ val originCols = Array(
+ col("id", LongType, nullable = false),
+ col("name", StringType, nullable = true))
+ val currentCols = Array(
+ col("id", LongType, nullable = false),
+ col("name", StringType, nullable = true),
+ col("age", IntegerType, nullable = true))
+ val table = TestTableWithMetadataSupport("test", currentCols)
+
+ val errors = validateCapturedColumns(table, originCols, ALLOW_NEW_TOP_LEVEL_FIELDS)
+ assert(errors.isEmpty)
+ }
+
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS prohibits nested additions") {
+ val originAddress = StructType(Seq(
+ StructField("street", StringType),
+ StructField("city", StringType)))
+ val originCols = Array(
+ col("id", LongType, nullable = false),
+ col("address", originAddress, nullable = true))
+ val currentAddress = StructType(Seq(
+ StructField("street", StringType),
+ StructField("city", StringType),
+ StructField("zipCode", StringType)))
+ val currentCols = Array(
+ col("id", LongType, nullable = false),
+ col("address", currentAddress, nullable = true))
+ val table = TestTableWithMetadataSupport("test", currentCols)
+
+ val errors = validateCapturedColumns(table, originCols, ALLOW_NEW_TOP_LEVEL_FIELDS)
+ assert(errors.size == 1)
+ assert(errors.head.contains("`address`.`zipCode` STRING has been added"))
+ }
+
+ test("validateCapturedColumns - ALLOW_NEW_TOP_LEVEL_FIELDS prohibits nested arr additions") {
Review Comment:
Can we keep it as is to skip the round of CI?
I can go ahead and update it too but it will need another round of CI.
Up to you, @cloud-fan @gengliangwang.
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Re: [PR] [SPARK-54686][SQL] Relax DSv2 table checks in temp views to allow new top-level columns [spark]
Posted by "aokolnychyi (via GitHub)" <gi...@apache.org>.
aokolnychyi commented on PR #53450:
URL: https://github.com/apache/spark/pull/53450#issuecomment-3644670348
cc @dongjoon-hyun @cloud-fan @gengliangwang @szehon-ho
This is another issue I found while testing 4.1 RC in connectors.
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Re: [PR] [SPARK-54686][SQL] Relax DSv2 table checks in temp views to allow new top-level columns [spark]
Posted by "aokolnychyi (via GitHub)" <gi...@apache.org>.
aokolnychyi commented on code in PR #53450:
URL: https://github.com/apache/spark/pull/53450#discussion_r2615126976
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/V2TableReference.scala:
##########
@@ -120,7 +121,10 @@ private[sql] object V2TableReferenceUtils extends SQLConfHelper {
ctx: TemporaryViewContext): Unit = {
val tableName = ref.identifier.toQualifiedNameParts(ref.catalog)
- val dataErrors = V2TableUtil.validateCapturedColumns(table, ref.info.columns)
+ val dataErrors = V2TableUtil.validateCapturedColumns(
+ table,
+ ref.info.columns,
+ mode = ALLOW_NEW_TOP_LEVEL_FIELDS)
Review Comment:
As of now, SQL views don't allow nested field additions, which I can somewhat justify. It will be quite a behavior change but I am OK with it as long as it behaves consistently across temp and SQL views.
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Re: [PR] [SPARK-54686][SQL] Relax DSv2 table checks in temp views to allow new top-level columns [spark]
Posted by "gengliangwang (via GitHub)" <gi...@apache.org>.
gengliangwang commented on PR #53450:
URL: https://github.com/apache/spark/pull/53450#issuecomment-3658042031
Thanks, merging to master/4.1
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