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Posted to reviews@spark.apache.org by "nikolamand-db (via GitHub)" <gi...@apache.org> on 2024/02/20 21:39:01 UTC

[PR] [SPARK-42328][SQL] Remove _LEGACY_ERROR_TEMP_1175 from error classes [spark]

nikolamand-db opened a new pull request, #45183:
URL: https://github.com/apache/spark/pull/45183

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   Error class `_LEGACY_ERROR_TEMP_1175` indicates "unsupported data type". There is already an error class covering this case called `UNSUPPORTED_DATATYPE`, so instead of renaming we can completely remove legacy error class. The only reference to this error class is present in data type conversion from Spark to Parquet; this use case is covered with new test. 
   
   
   ### Why are the changes needed?
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     1. If you propose a new API, clarify the use case for a new API.
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   Remove legacy error classes as part of activity in [SPARK-37935](https://issues.apache.org/jira/browse/SPARK-37935).
   
   ### Does this PR introduce _any_ user-facing change?
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   Yes, the error message presented to user is changed.
   
   ### How was this patch tested?
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   Added test to `QueryCompilationErrorsSuite` and tested with sbt:
   ```
   project sql
   testOnly *QueryCompilationErrorsSuite
   ```
   
   ### Was this patch authored or co-authored using generative AI tooling?
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   No.
   


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Re: [PR] [SPARK-42328][SQL] Remove _LEGACY_ERROR_TEMP_1175 from error classes [spark]

Posted by "MaxGekk (via GitHub)" <gi...@apache.org>.
MaxGekk closed pull request #45183: [SPARK-42328][SQL] Remove _LEGACY_ERROR_TEMP_1175 from error classes
URL: https://github.com/apache/spark/pull/45183


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Re: [PR] [SPARK-42328][SQL] Remove _LEGACY_ERROR_TEMP_1175 from error classes [spark]

Posted by "MaxGekk (via GitHub)" <gi...@apache.org>.
MaxGekk commented on code in PR #45183:
URL: https://github.com/apache/spark/pull/45183#discussion_r1498113092


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala:
##########
@@ -1908,8 +1908,9 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase with Compilat
 
   def cannotConvertDataTypeToParquetTypeError(field: StructField): Throwable = {
     new AnalysisException(
-      errorClass = "_LEGACY_ERROR_TEMP_1175",
-      messageParameters = Map("dataType" -> field.dataType.catalogString))
+      errorClass = "INTERNAL_ERROR",
+      messageParameters = Map("message" ->
+        s"Cannot convert Spark data type ${toSQLType(field.dataType.catalogString)} to Parquet."))

Review Comment:
   just:
   ```suggestion
           s"Cannot convert Spark data type ${toSQLType(field.dataType)} to any Parquet type."))
   ```



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Re: [PR] [SPARK-42328][SQL] Remove _LEGACY_ERROR_TEMP_1175 from error classes [spark]

Posted by "MaxGekk (via GitHub)" <gi...@apache.org>.
MaxGekk commented on code in PR #45183:
URL: https://github.com/apache/spark/pull/45183#discussion_r1497387505


##########
sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala:
##########
@@ -962,6 +963,22 @@ class QueryCompilationErrorsSuite
         "methodName" -> "update",
         "className" -> "org.apache.spark.sql.catalyst.expressions.UnsafeRow"))
   }
+
+  test("SPARK-42328: Convert unsupported data type from Spark to Parquet") {
+    val converter = new SparkToParquetSchemaConverter
+    val dummyDataType = new DataType {
+      override def defaultSize: Int = 0
+
+      override private[spark] def asNullable = NullType
+    }
+    checkError(
+      exception = intercept[AnalysisException] {
+        converter.convertField(StructField("test", dummyDataType))

Review Comment:
   Is it possible to reproduce the error using public API? If not, we should think of converting to an internal error.



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Re: [PR] [SPARK-42328][SQL] Remove _LEGACY_ERROR_TEMP_1175 from error classes [spark]

Posted by "MaxGekk (via GitHub)" <gi...@apache.org>.
MaxGekk commented on PR #45183:
URL: https://github.com/apache/spark/pull/45183#issuecomment-1959002002

   +1, LGTM. Merging to master.
   Thank you, @nikolamand-db and @HyukjinKwon for review.


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Re: [PR] [SPARK-42328][SQL] Remove _LEGACY_ERROR_TEMP_1175 from error classes [spark]

Posted by "MaxGekk (via GitHub)" <gi...@apache.org>.
MaxGekk commented on PR #45183:
URL: https://github.com/apache/spark/pull/45183#issuecomment-1959005351

   @nikolamand-db Congratulations with your first contribution to Apache Spark!


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Re: [PR] [SPARK-42328][SQL] Remove _LEGACY_ERROR_TEMP_1175 from error classes [spark]

Posted by "nikolamand-db (via GitHub)" <gi...@apache.org>.
nikolamand-db commented on code in PR #45183:
URL: https://github.com/apache/spark/pull/45183#discussion_r1497906728


##########
sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala:
##########
@@ -962,6 +963,22 @@ class QueryCompilationErrorsSuite
         "methodName" -> "update",
         "className" -> "org.apache.spark.sql.catalyst.expressions.UnsafeRow"))
   }
+
+  test("SPARK-42328: Convert unsupported data type from Spark to Parquet") {
+    val converter = new SparkToParquetSchemaConverter
+    val dummyDataType = new DataType {
+      override def defaultSize: Int = 0
+
+      override private[spark] def asNullable = NullType
+    }
+    checkError(
+      exception = intercept[AnalysisException] {
+        converter.convertField(StructField("test", dummyDataType))

Review Comment:
   @MaxGekk Replaced it with `INTERNAL_ERROR`, please check the updated PR description.



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Re: [PR] [SPARK-42328][SQL] Remove _LEGACY_ERROR_TEMP_1175 from error classes [spark]

Posted by "MaxGekk (via GitHub)" <gi...@apache.org>.
MaxGekk commented on code in PR #45183:
URL: https://github.com/apache/spark/pull/45183#discussion_r1497386712


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala:
##########
@@ -1908,8 +1908,8 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase with Compilat
 
   def cannotConvertDataTypeToParquetTypeError(field: StructField): Throwable = {
     new AnalysisException(
-      errorClass = "_LEGACY_ERROR_TEMP_1175",
-      messageParameters = Map("dataType" -> field.dataType.catalogString))
+      errorClass = "UNSUPPORTED_DATATYPE",
+      messageParameters = Map("typeName" -> field.dataType.catalogString))

Review Comment:
   Could you quote the type using `toSQLType()` (the function uses slightly different converter of Catalyst type to strings. That's more consistent to other errors).



##########
sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala:
##########
@@ -962,6 +963,22 @@ class QueryCompilationErrorsSuite
         "methodName" -> "update",
         "className" -> "org.apache.spark.sql.catalyst.expressions.UnsafeRow"))
   }
+
+  test("SPARK-42328: Convert unsupported data type from Spark to Parquet") {
+    val converter = new SparkToParquetSchemaConverter
+    val dummyDataType = new DataType {
+      override def defaultSize: Int = 0
+
+      override private[spark] def asNullable = NullType
+    }
+    checkError(
+      exception = intercept[AnalysisException] {
+        converter.convertField(StructField("test", dummyDataType))

Review Comment:
   Is it possible to reproduce the error using public API. If not, we should think of converting to an internal error.



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Re: [PR] [SPARK-42328][SQL] Remove _LEGACY_ERROR_TEMP_1175 from error classes [spark]

Posted by "MaxGekk (via GitHub)" <gi...@apache.org>.
MaxGekk commented on code in PR #45183:
URL: https://github.com/apache/spark/pull/45183#discussion_r1498113092


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala:
##########
@@ -1908,8 +1908,9 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase with Compilat
 
   def cannotConvertDataTypeToParquetTypeError(field: StructField): Throwable = {
     new AnalysisException(
-      errorClass = "_LEGACY_ERROR_TEMP_1175",
-      messageParameters = Map("dataType" -> field.dataType.catalogString))
+      errorClass = "INTERNAL_ERROR",
+      messageParameters = Map("message" ->
+        s"Cannot convert Spark data type ${toSQLType(field.dataType.catalogString)} to Parquet."))

Review Comment:
   just:
   ```suggestion
           s"Cannot convert Spark data type ${toSQLType(field.dataType)} to Parquet."))
   ```



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