GideonPotok commented on code in PR #47154: URL: https://github.com/apache/spark/pull/47154#discussion_r1709737405
########## sql/core/src/test/scala/org/apache/spark/sql/CollationSQLExpressionsSuite.scala: ########## @@ -1840,40 +1972,19 @@ class CollationSQLExpressionsSuite s"array(collate('$elt', '${t.collationId}'))), 'f3', 1))").mkString(",") }.mkString(",") - val tableName = s"t_${t.collationId}_mode_nested_struct" + val tableName = s"t_${t.collationId}_mode_highly_nested_struct" withTable(tableName) { sql(s"CREATE TABLE ${tableName}(" + s"i ARRAY<STRUCT<s1: STRUCT<a2: ARRAY<STRING COLLATE ${t.collationId}>>, f3: INT>>)" + s" USING parquet") sql(s"INSERT INTO ${tableName} VALUES " + valuesToAdd) val query = s"SELECT lower(element_at(element_at(mode(i), 1).s1.a2, 1)) FROM ${tableName}" - if(t.collationId == "UTF8_LCASE" || - t.collationId == "unicode_ci" || t.collationId == "unicode") { - val params = Seq(("sqlExpr", "\"mode(i)\""), - ("msg", "The input to the function 'mode' was a type" + - " of binary-unstable type that is not currently supported by mode."), - ("hint", "")).toMap - checkError( - exception = intercept[AnalysisException] { - sql(query) - }, - errorClass = "DATATYPE_MISMATCH.TYPE_CHECK_FAILURE_WITH_HINT", - parameters = params, - queryContext = Array( - ExpectedContext(objectType = "", - objectName = "", - startIndex = 35, - stopIndex = 41, - fragment = "mode(i)") - ) - ) - } else { - checkAnswer(sql(query), Row(t.result)) - } + checkAnswer(sql(query), Row(t.result)) } }) } + Review Comment: ```suggestion ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org