wombatu-kun commented on code in PR #12649:
URL: https://github.com/apache/hudi/pull/12649#discussion_r1918129199


##########
hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/procedure/TestClusteringProcedure.scala:
##########
@@ -774,6 +774,50 @@ class TestClusteringProcedure extends 
HoodieSparkProcedureTestBase {
     }
   }
 
+  test("Test Call show_clustering with limit parameter") {
+    withSQLConf("hoodie.compact.inline" -> "false", 
"hoodie.compact.inline.max.delta.commits" -> "1") {
+      withTempDir { tmp =>
+        val tableName = generateTableName
+        val basePath = s"${tmp.getCanonicalPath}/$tableName"
+        val hudiOptions = Map(
+          "hoodie.table.name" -> tableName,
+          "hoodie.datasource.write.table.type" -> "COPY_ON_WRITE",
+          "hoodie.datasource.write.recordkey.field" -> "a",
+          "hoodie.datasource.write.partitionpath.field" -> "a,b,c",
+          "hoodie.clean.automatic" -> "true",
+          "hoodie.metadata.enable" -> "true",
+          "hoodie.clustering.inline" -> "true",
+          "hoodie.clustering.inline.max.commits" -> "1",
+          "hoodie.cleaner.commits.retained" -> "2",
+          "hoodie.datasource.write.operation" -> "insert_overwrite"
+        )
+
+        val data = Seq(
+          (1, 2, 4),
+          (1, 2, 4),
+          (1, 2, 3)
+        )
+        val schema = StructType(Array(
+          StructField("a", IntegerType, true),
+          StructField("b", IntegerType, true),
+          StructField("c", IntegerType, true)
+        ))
+
+        val df = 
spark.createDataFrame(spark.sparkContext.parallelize(data).map {
+          case (a, b, c) => Row(a, b, c)
+        }, schema)
+
+        df.write
+          .options(hudiOptions)
+          .format("hudi")
+          .mode("append")
+          .save(s"$basePath")
+
+        assertResult(1)(spark.sql(s"call show_clustering(path => 
'$basePath')").count())

Review Comment:
   As the test is called 'with limit parameter', add please assertions on 
calling show_clustering also with limit=1 and with limit more than 1 (to prove 
that it fixes the issue).



-- 
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: commits-unsubscr...@hudi.apache.org

For queries about this service, please contact Infrastructure at:
us...@infra.apache.org

Reply via email to