nsivabalan commented on code in PR #9169:
URL: https://github.com/apache/hudi/pull/9169#discussion_r1260124577


##########
hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/TestInsertTable.scala:
##########
@@ -1191,88 +1191,68 @@ class TestInsertTable extends HoodieSparkSqlTestBase {
     }
   }
 
-  test("Test Bulk Insert Into Bucket Index Table") {
-    withSQLConf("hoodie.datasource.write.operation" -> "bulk_insert", 
"hoodie.bulkinsert.shuffle.parallelism" -> "1") {
-      Seq("mor", "cow").foreach { tableType =>
-        Seq("true", "false").foreach { bulkInsertAsRow =>
-          withTempDir { tmp =>
-            val tableName = generateTableName
-            // Create a partitioned table
-            spark.sql(
-              s"""
-                 |create table $tableName (
-                 |  id int,
-                 |  dt string,
-                 |  name string,
-                 |  price double,
-                 |  ts long
-                 |) using hudi
-                 | tblproperties (
-                 | primaryKey = 'id,name',
-                 | type = '$tableType',
-                 | preCombineField = 'ts',
-                 | hoodie.index.type = 'BUCKET',
-                 | hoodie.bucket.index.hash.field = 'id,name',
-                 | hoodie.datasource.write.row.writer.enable = 
'$bulkInsertAsRow')
-                 | partitioned by (dt)
-                 | location '${tmp.getCanonicalPath}'
-                 """.stripMargin)
-
-            // Note: Do not write the field alias, the partition field must be 
placed last.
-            spark.sql(
-              s"""
-                 | insert into $tableName values
-                 | (1, 'a1,1', 10, 1000, "2021-01-05"),
-                 | (2, 'a2', 20, 2000, "2021-01-06"),
-                 | (3, 'a3,3', 30, 3000, "2021-01-07")
-                 """.stripMargin)
-
-            checkAnswer(s"select id, name, price, ts, dt from $tableName")(
-              Seq(1, "a1,1", 10.0, 1000, "2021-01-05"),
-              Seq(2, "a2", 20.0, 2000, "2021-01-06"),
-              Seq(3, "a3,3", 30.0, 3000, "2021-01-07")
-            )
-
-            spark.sql(
-              s"""
-                 | insert into $tableName values
-                 | (1, 'a1', 10, 1000, "2021-01-05"),
-                 | (3, "a3", 30, 3000, "2021-01-07")
-               """.stripMargin)
-
-            checkAnswer(s"select id, name, price, ts, dt from $tableName")(
-              Seq(1, "a1,1", 10.0, 1000, "2021-01-05"),
-              Seq(1, "a1", 10.0, 1000, "2021-01-05"),
-              Seq(2, "a2", 20.0, 2000, "2021-01-06"),
-              Seq(3, "a3,3", 30.0, 3000, "2021-01-07"),
-              Seq(3, "a3", 30.0, 3000, "2021-01-07")
-            )
-
-            // there are two files in partition(dt = '2021-01-05')
-            checkAnswer(s"select count(distinct _hoodie_file_name) from 
$tableName where dt = '2021-01-05'")(
-              Seq(2)
-            )
-
-            // would generate 6 other files in partition(dt = '2021-01-05')
-            spark.sql(
-              s"""
-                 | insert into $tableName values
-                 | (4, 'a1,1', 10, 1000, "2021-01-05"),
-                 | (5, 'a1,1', 10, 1000, "2021-01-05"),
-                 | (6, 'a1,1', 10, 1000, "2021-01-05"),
-                 | (7, 'a1,1', 10, 1000, "2021-01-05"),
-                 | (8, 'a1,1', 10, 1000, "2021-01-05"),
-                 | (9, 'a3,3', 30, 3000, "2021-01-05")
-               """.stripMargin)
-
-            checkAnswer(s"select count(distinct _hoodie_file_name) from 
$tableName where dt = '2021-01-05'")(
-              Seq(8)
-            )
-          }
-        }
-      }
-    }
-  }
+  // FAILING TEST CASE. DO NOT UNCOMMENT BEFORE FIXING THE TEST CASE (see 
https://github.com/apache/hudi/pull/9156)

Review Comment:
   This is now how we disable tests. we use "Disabled" tag to disable tests. we 
need to add a hudi jira adding links to failures and stacktraces may be and 
then add jira no in the Disabled annotation. you can find examples in our test 
suite. 



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