halkar opened a new issue #2174:
URL: https://github.com/apache/hudi/issues/2174
I'm trying to use Hudi with Spark EMR. Everything is ok when I run a batch
job of S3 data. But when I run it of Kinesis stream it creates tens of versions
of the output file and never removes them.
**To Reproduce**
This is my code
```
val hudiOptions = Map[String,String](
DataSourceWriteOptions.TABLE_TYPE_OPT_KEY ->
DataSourceWriteOptions.COW_TABLE_TYPE_OPT_VAL,
DataSourceWriteOptions.OPERATION_OPT_KEY ->
DataSourceWriteOptions.UPSERT_OPERATION_OPT_VAL,
HoodieStorageConfig.PARQUET_COMPRESSION_CODEC -> "snappy",
HoodieCompactionConfig.AUTO_CLEAN_PROP -> "true",
HoodieCompactionConfig.CLEANER_FILE_VERSIONS_RETAINED_PROP -> "1",
HoodieCompactionConfig.CLEANER_COMMITS_RETAINED_PROP -> "1",
DataSourceWriteOptions.HIVE_STYLE_PARTITIONING_OPT_KEY -> "true",
"hoodie.upsert.shuffle.parallelism" -> "5",
HoodieCompactionConfig.PARQUET_SMALL_FILE_LIMIT_BYTES -> (512 * 1024 *
1024).toString,
"hoodie.combine.before.insert" -> "true",
DataSourceWriteOptions.INSERT_DROP_DUPS_OPT_KEY -> "true"
)
dataframe
.write
.format("org.apache.hudi")
.options(hudiOptions)
.option(HoodieWriteConfig.TABLE_NAME, tableName)
.option(DataSourceWriteOptions.TABLE_NAME_OPT_KEY, tableName)
.option(DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY,
partitionPathField)
.option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY, recordKeyField)
.option(DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY,
precombineFieldKey)
.mode(SaveMode.Append)
.save(destinationPath)
```
**Environment Description**
* Hudi version: 0.6.0
* Spark version: 2.4.4
* Hive version: 2.3.7
* Hadoop version: 2.10
* Storage (HDFS/S3/GCS..): S3
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