cloud-fan commented on code in PR #45290:
URL: https://github.com/apache/spark/pull/45290#discussion_r1508938251


##########
sql/api/src/main/scala/org/apache/spark/sql/types/StringType.scala:
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@@ -33,6 +33,14 @@ class StringType private(val collationId: Int) extends 
AtomicType with Serializa
    */
   def isDefaultCollation: Boolean = collationId == 
StringType.DEFAULT_COLLATION_ID
 
+  /**
+   * Binary collation implies that strings are considered equal only if they 
are
+   * byte for byte equal. E.g. all accent or case-insensitive collations are 
considered non-binary.
+   * If this field is true, byte level operations can be used against this 
datatype (e.g. for
+   * equality and hashing).
+   */
+  def isBinaryCollation: Boolean = 
CollationFactory.fetchCollation(collationId).isBinaryCollation

Review Comment:
   when shall we treat default collation and binary collation differently?



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