revert assertNoSpecifiedSchema

Author: wangyum

sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtilsSuite.scala

@@ -49,7 +49,7 @@ class JdbcUtilsSuite extends SparkFunSuite {
         StructType(Seq(StructField("c1", DateType, true), StructField("c1", StringType, true)))
     }
     assert(duplicate.getMessage.contains(
-      "Found duplicate column(s) in the createTableColumnTypes option value"))
+      "Found duplicate column(s) in the customSchema option value"))
 
     val allColumns = intercept[AnalysisException]{
       JdbcUtils.parseUserSpecifiedColumnTypes(schema, "C1 STRING", caseSensitive) ===

sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala

@@ -960,12 +960,12 @@ class JDBCSuite extends SparkFunSuite
     val e1 = intercept[AnalysisException] {
       spark.read.schema(schema).jdbc(urlWithUserAndPass, "TEST.PEOPLE", parts, new Properties())
     }.getMessage
-    assert(e1.contains("Please use customSchema option to specified column types."))
+    assert(e1.contains("User specified schema not supported with `jdbc`"))
 
     val e2 = intercept[AnalysisException] {
       spark.read.schema(schema).jdbc(urlWithUserAndPass, "TEST.PEOPLE", new Properties())
     }.getMessage
-    assert(e2.contains("Please use customSchema option to specified column types."))
+    assert(e2.contains("User specified schema not supported with `jdbc`"))
   }
 
   test("jdbc API support custom schema") {