codope commented on code in PR #9774:
URL: https://github.com/apache/hudi/pull/9774#discussion_r1347867388
##########
hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/hudi/functional/TestMORDataSource.scala:
##########
@@ -996,6 +996,48 @@ class TestMORDataSource extends HoodieSparkClientTestBase
with SparkDatasetMixin
.save(basePath)
}
+ @ParameterizedTest
+ @EnumSource(value = classOf[HoodieRecordType], names = Array("AVRO",
"SPARK"))
+ def testClusteringSamePrecombine(recordType: HoodieRecordType): Unit = {
+ var writeOpts = Map(
+ "hoodie.insert.shuffle.parallelism" -> "4",
+ "hoodie.upsert.shuffle.parallelism" -> "4",
+ DataSourceWriteOptions.RECORDKEY_FIELD.key -> "_row_key",
+ DataSourceWriteOptions.PARTITIONPATH_FIELD.key -> "partition",
+ DataSourceWriteOptions.PRECOMBINE_FIELD.key -> "timestamp",
+ HoodieWriteConfig.TBL_NAME.key -> "hoodie_test",
+ DataSourceWriteOptions.OPERATION.key() ->
DataSourceWriteOptions.UPSERT_OPERATION_OPT_VAL,
+ DataSourceWriteOptions.TABLE_TYPE.key()->
DataSourceWriteOptions.MOR_TABLE_TYPE_OPT_VAL,
+ "hoodie.clustering.inline"-> "true",
+ "hoodie.clustering.inline.max.commits" -> "2",
+ "hoodie.clustering.plan.strategy.sort.columns" -> "_row_key",
+ "hoodie.metadata.enable" -> "false",
+ "hoodie.datasource.write.row.writer.enable" -> "false"
+ )
+ if (recordType.equals(HoodieRecordType.SPARK)) {
+ writeOpts = Map(HoodieWriteConfig.RECORD_MERGER_IMPLS.key ->
classOf[HoodieSparkRecordMerger].getName,
+ HoodieStorageConfig.LOGFILE_DATA_BLOCK_FORMAT.key -> "parquet") ++
writeOpts
+ }
+ val records1 = recordsToStrings(dataGen.generateInserts("001", 10)).asScala
+ val inputDF1: Dataset[Row] =
spark.read.json(spark.sparkContext.parallelize(records1, 2))
+ inputDF1.write.format("org.apache.hudi")
+ .options(writeOpts)
+ .mode(SaveMode.Overwrite)
+ .save(basePath)
+
+ val records2 = recordsToStrings(dataGen.generateUniqueUpdates("002",
5)).asScala
Review Comment:
can we add some test (or in this test itself) where we have some deletes and
then followed by clustering?
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