MaxGekk commented on code in PR #45422:
URL: https://github.com/apache/spark/pull/45422#discussion_r1518490602


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/CollationTypeConstraints.scala:
##########
@@ -0,0 +1,89 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.catalyst.expressions
+
+import org.apache.spark.SparkException
+import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
+import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.DataTypeMismatch
+import org.apache.spark.sql.catalyst.util.CollationFactory
+import org.apache.spark.sql.types.{DataType, StringType}
+
+object CollationTypeConstraints {
+  def checkCollationCompatibility(
+      superCheck: => TypeCheckResult,
+      collationId: Int,
+      rightDataType: DataType): TypeCheckResult = {
+    val checkResult = superCheck
+    if (checkResult.isFailure) return checkResult
+    // Additional check needed for collation compatibility
+    val rightCollationId: Int = 
rightDataType.asInstanceOf[StringType].collationId
+    if (collationId != rightCollationId) {
+      return DataTypeMismatch(
+        errorSubClass = "COLLATION_MISMATCH",
+        messageParameters = Map(
+          "collationNameLeft" -> 
CollationFactory.fetchCollation(collationId).collationName,
+          "collationNameRight" -> 
CollationFactory.fetchCollation(rightCollationId).collationName
+        )
+      )
+    }
+    TypeCheckResult.TypeCheckSuccess
+  }
+
+  object CollationSupportLevel extends Enumeration {
+    type CollationSupportLevel = Value
+
+    val SUPPORT_BINARY_ONLY: Value = Value(0)
+    val SUPPORT_LOWERCASE: Value = Value(1)
+    val SUPPORT_ALL_COLLATIONS: Value = Value(2)
+  }
+
+  def checkCollationSupport(
+      superCheck: => TypeCheckResult,
+      collationId: Int,
+      functionName: String,
+      collationSupportLevel: CollationSupportLevel.CollationSupportLevel)
+  : TypeCheckResult = {
+    val checkResult = superCheck
+    if (checkResult.isFailure) return checkResult
+    // Additional check needed for collation support
+    val collation = CollationFactory.fetchCollation(collationId)
+    collationSupportLevel match {
+      case CollationSupportLevel.SUPPORT_BINARY_ONLY =>
+        if (!collation.isBinaryCollation) {
+          throwUnsupportedCollation(functionName, collation.collationName)
+        }
+      case CollationSupportLevel.SUPPORT_LOWERCASE =>
+        if (!collation.isBinaryCollation && !collation.isLowercaseCollation) {
+          throwUnsupportedCollation(functionName, collation.collationName)
+        }
+      case CollationSupportLevel.SUPPORT_ALL_COLLATIONS => // No additional 
checks needed
+      case _ => throw new IllegalArgumentException("Invalid collation support 
level.")
+    }
+    TypeCheckResult.TypeCheckSuccess
+  }
+
+  private def throwUnsupportedCollation(functionName: String, collationName: 
String): Unit = {
+    throw new SparkException(
+      errorClass = "UNSUPPORTED_COLLATION.FOR_FUNCTION",
+      messageParameters = Map(
+        "functionName" -> functionName,

Review Comment:
   Please, quote it by `toSQLId`.



##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/CollationTypeConstraints.scala:
##########
@@ -0,0 +1,89 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.catalyst.expressions
+
+import org.apache.spark.SparkException
+import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
+import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.DataTypeMismatch
+import org.apache.spark.sql.catalyst.util.CollationFactory
+import org.apache.spark.sql.types.{DataType, StringType}
+
+object CollationTypeConstraints {
+  def checkCollationCompatibility(
+      superCheck: => TypeCheckResult,
+      collationId: Int,
+      rightDataType: DataType): TypeCheckResult = {
+    val checkResult = superCheck
+    if (checkResult.isFailure) return checkResult
+    // Additional check needed for collation compatibility
+    val rightCollationId: Int = 
rightDataType.asInstanceOf[StringType].collationId
+    if (collationId != rightCollationId) {
+      return DataTypeMismatch(
+        errorSubClass = "COLLATION_MISMATCH",
+        messageParameters = Map(
+          "collationNameLeft" -> 
CollationFactory.fetchCollation(collationId).collationName,
+          "collationNameRight" -> 
CollationFactory.fetchCollation(rightCollationId).collationName
+        )
+      )
+    }
+    TypeCheckResult.TypeCheckSuccess
+  }
+
+  object CollationSupportLevel extends Enumeration {
+    type CollationSupportLevel = Value
+
+    val SUPPORT_BINARY_ONLY: Value = Value(0)
+    val SUPPORT_LOWERCASE: Value = Value(1)
+    val SUPPORT_ALL_COLLATIONS: Value = Value(2)
+  }
+
+  def checkCollationSupport(
+      superCheck: => TypeCheckResult,
+      collationId: Int,
+      functionName: String,
+      collationSupportLevel: CollationSupportLevel.CollationSupportLevel)
+  : TypeCheckResult = {
+    val checkResult = superCheck
+    if (checkResult.isFailure) return checkResult
+    // Additional check needed for collation support
+    val collation = CollationFactory.fetchCollation(collationId)
+    collationSupportLevel match {
+      case CollationSupportLevel.SUPPORT_BINARY_ONLY =>
+        if (!collation.isBinaryCollation) {
+          throwUnsupportedCollation(functionName, collation.collationName)
+        }
+      case CollationSupportLevel.SUPPORT_LOWERCASE =>
+        if (!collation.isBinaryCollation && !collation.isLowercaseCollation) {
+          throwUnsupportedCollation(functionName, collation.collationName)
+        }
+      case CollationSupportLevel.SUPPORT_ALL_COLLATIONS => // No additional 
checks needed
+      case _ => throw new IllegalArgumentException("Invalid collation support 
level.")

Review Comment:
   Please, use `SparkIllegalArgumentException` if it is user-facing error, or 
switch to an `SparkException.internalError`.



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