DSwift510 opened a new issue #4629:
URL: https://github.com/apache/hudi/issues/4629
**Describe the problem you faced**
Seeing repetitive error when writing to a single MOR table causing delay in
batches for 45 minutes to an hour and a half.
During this time there are no new files being compacted and ingest appears
to stop until it fixes itself.
Async Compaction is Enabled by default
Configuration as bellow:
` df.writeStream
.trigger(Trigger.ProcessingTime(s"${triggerTimeInSeconds} seconds"))
.format(format)
.option(HoodieWriteConfig.TABLE_NAME, tableName)
.option(HoodieWriteConfig.FAIL_ON_TIMELINE_ARCHIVING_ENABLED_PROP,
value = false)
//--
.option(HoodieStorageConfig.PARQUET_COMPRESSION_CODEC, "snappy")
.option(HoodieStorageConfig.PARQUET_FILE_MAX_BYTES,
expectedFileSizeInBytes)
.option(HoodieStorageConfig.PARQUET_BLOCK_SIZE_BYTES,
HoodieStorageConfig.DEFAULT_PARQUET_BLOCK_SIZE_BYTES)
//--
.option(HoodieCompactionConfig.PARQUET_SMALL_FILE_LIMIT_BYTES,
(expectedFileSizeInBytes / 100) * 80)
.option(HoodieCompactionConfig.INLINE_COMPACT_PROP, "true")
.option(HoodieCompactionConfig.INLINE_COMPACT_NUM_DELTA_COMMITS_PROP,
nDeltaCommits)
//--
// .option(HoodieMetadataConfig.METADATA_ENABLE_PROP, value = true)
//--
.option(HoodieIndexConfig.BLOOM_INDEX_FILTER_TYPE, value =
BloomFilterTypeCode.DYNAMIC_V0.name())
.option(HoodieIndexConfig.BLOOM_FILTER_NUM_ENTRIES, value = "1000000")
.option(HoodieIndexConfig.HOODIE_BLOOM_INDEX_FILTER_DYNAMIC_MAX_ENTRIES, value
= "1000000")
//--
.option(HoodieMetricsConfig.METRICS_ON, value = "true")
.option(HoodieMetricsConfig.METRICS_REPORTER_TYPE,
MetricsReporterType.DATADOG.name())
//--
.option(DataSourceWriteOptions.TABLE_TYPE_OPT_KEY,
DataSourceWriteOptions.MOR_TABLE_TYPE_OPT_VAL)
.option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY, "RK")
.option(DataSourceWriteOptions.KEYGENERATOR_CLASS_OPT_KEY,
classOf[CustomKeyGenerator].getName)
.option(DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY,
"P1:SIMPLE,P2:SIMPLE")
.option(DataSourceWriteOptions.OPERATION_OPT_KEY,
DataSourceWriteOptions.UPSERT_OPERATION_OPT_VAL)
.option(DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY,
hudiTablePrecombineKey)
.option(DataSourceWriteOptions.HIVE_USE_JDBC_OPT_KEY, value = false)
.option(DataSourceWriteOptions.HIVE_SYNC_ENABLED_OPT_KEY, value = true)
.option(DataSourceWriteOptions.HIVE_STYLE_PARTITIONING_OPT_KEY, value
= true)
.option(DataSourceWriteOptions.HIVE_PARTITION_FIELDS_OPT_KEY, "p1,p2")
.option(DataSourceWriteOptions.HIVE_DATABASE_OPT_KEY, hiveDb)
.option(DataSourceWriteOptions.HIVE_TABLE_OPT_KEY, tableName)
.option(DataSourceWriteOptions.HIVE_PARTITION_EXTRACTOR_CLASS_OPT_KEY,
classOf[MultiPartKeysValueExtractor].getName)
.outputMode(OutputMode.Append())
.queryName(queryName)
.start(tableAbsolutePath)`
Running on EMR 6.4.0
* Hudi version : 0.9.0
* Spark version : 3.1.2
* Hive version : AWS Glue
* Hadoop version : 3.2.1
* Storage (HDFS/S3/GCS..) : S3
* Running on Docker? (yes/no) : No
**Stacktrace**
([Error_log_snippet.txt](https://github.com/apache/hudi/files/7890523/Error_log_snippet.txt))
The
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