scxwhite edited a comment on issue #4311:
URL: https://github.com/apache/hudi/issues/4311#issuecomment-1015246379
I reproduced this problem using the following code. In the following code, I
repeatedly update 10000 pieces of data, but if I execute the following code
more than 5 times, the program will report an error.
The problem may occur in clustering. When merging small files, the old
submitted files are
obtained(SparkSizeBasedClusteringPlanStrategy#getFileSlicesEligibleForClustering).
@xushiyan @nsivabalan @vinothchandar @yihua
```
import org.apache.hudi.DataSourceWriteOptions;
import
org.apache.hudi.client.clustering.update.strategy.SparkRejectUpdateStrategy;
import org.apache.hudi.common.config.HoodieMetadataConfig;
import org.apache.hudi.common.model.*;
import org.apache.hudi.common.table.HoodieTableConfig;
import org.apache.hudi.common.table.marker.MarkerType;
import org.apache.hudi.config.*;
import org.apache.hudi.keygen.constant.KeyGeneratorOptions;
import org.apache.spark.sql.*;
import java.util.*;
import static org.apache.hudi.common.model.HoodieTableType.*;
/**
* Created by sucx
*/
public class Test {
public static void main(String[] args) {
List<String> data = new ArrayList<>();
List<String> dtList = new ArrayList<>();
dtList.add("197001");
Random random = new Random();
for (int i = 0; i < 100000; i++) {
String dt = dtList.get(random.nextInt(dtList.size()));
data.add("{\"dt\":\"" + dt + "\",\"id\":\"" +
random.nextInt(10000) + "\",\"gmt_modified\":" + System.currentTimeMillis() +
"}");
}
SparkSession sparkSession =
SparkSession.builder().config("spark.serializer","org.apache.spark.serializer.KryoSerializer").master("local[*]").getOrCreate();
Dataset<String> dataset = sparkSession.createDataset(data,
Encoders.STRING());
Dataset<Row> json = sparkSession.read().json(dataset);
json.printSchema();
int dataKeepTime = 5;
json.selectExpr("dt", "id", "gmt_modified", "'' as name").toDF()
.write()
.format("org.apache.hudi")
.option(HoodieTableConfig.TYPE.key(), MERGE_ON_READ.name())
.option(DataSourceWriteOptions.OPERATION().key(),
WriteOperationType.UPSERT.value())
.option(DataSourceWriteOptions.TABLE_TYPE().key(),
MERGE_ON_READ.name())
.option(KeyGeneratorOptions.RECORDKEY_FIELD_NAME.key(), "id")
.option(KeyGeneratorOptions.PARTITIONPATH_FIELD_NAME.key(),
"dt")
.option(KeyGeneratorOptions.HIVE_STYLE_PARTITIONING_ENABLE.key(), true)
.option(HoodieWriteConfig.PRECOMBINE_FIELD_NAME.key(),
"gmt_modified")
.option(HoodieWriteConfig.COMBINE_BEFORE_UPSERT.key(), true)
.option(HoodieWriteConfig.UPSERT_PARALLELISM_VALUE.key(),
200)
.option(HoodieWriteConfig.FINALIZE_WRITE_PARALLELISM_VALUE.key(), 200)
.option(HoodieWriteConfig.WRITE_PAYLOAD_CLASS_NAME.key(),
DefaultHoodieRecordPayload.class.getName())
.option(HoodieWriteConfig.AVRO_EXTERNAL_SCHEMA_TRANSFORMATION_ENABLE.key(),
false)
.option(HoodieWriteConfig.MARKERS_TYPE.key(),
MarkerType.DIRECT.toString())
.option(HoodieCompactionConfig.PAYLOAD_CLASS_NAME.key(),
DefaultHoodieRecordPayload.class.getName())
.option(HoodieCompactionConfig.CLEANER_FILE_VERSIONS_RETAINED.key(),
dataKeepTime)
.option(HoodieCompactionConfig.AUTO_CLEAN.key(), false)
.option(HoodieCompactionConfig.CLEANER_INCREMENTAL_MODE_ENABLE.key(), false)
.option(HoodieCompactionConfig.CLEANER_COMMITS_RETAINED.key(), dataKeepTime)
.option(HoodieCompactionConfig.MIN_COMMITS_TO_KEEP.key(),
dataKeepTime + 1)
.option(HoodieCompactionConfig.MAX_COMMITS_TO_KEEP.key(),
dataKeepTime + 2)
.option(HoodieCompactionConfig.TARGET_IO_PER_COMPACTION_IN_MB.key(), 500 * 1024)
.option(HoodieCompactionConfig.CLEANER_POLICY.key(),
HoodieCleaningPolicy.KEEP_LATEST_FILE_VERSIONS.name())
.option(HoodieCompactionConfig.PARQUET_SMALL_FILE_LIMIT.key(), 128 * 1024 *
1024)
.option(HoodieCompactionConfig.FAILED_WRITES_CLEANER_POLICY.key(),
HoodieFailedWritesCleaningPolicy.EAGER.name())
.option(HoodieStorageConfig.PARQUET_MAX_FILE_SIZE.key(), 256
* 1024 * 1024)
.option(HoodieCompactionConfig.INLINE_COMPACT.key(), true)
.option(HoodieCompactionConfig.INLINE_COMPACT_NUM_DELTA_COMMITS.key(), 1)
.option(HoodieClusteringConfig.INLINE_CLUSTERING.key(), true)
.option(HoodieClusteringConfig.INLINE_CLUSTERING_MAX_COMMITS.key(), 1)
.option(HoodieClusteringConfig.PLAN_STRATEGY_MAX_BYTES_PER_OUTPUT_FILEGROUP.key(),
256 * 1024 * 1024L)
.option(HoodieClusteringConfig.PLAN_STRATEGY_TARGET_FILE_MAX_BYTES.key(), 256 *
1024 * 1024L)
.option(HoodieClusteringConfig.PLAN_STRATEGY_SMALL_FILE_LIMIT.key(), 128 * 1024
* 1024L)
.option(HoodieClusteringConfig.UPDATES_STRATEGY.key(),
SparkRejectUpdateStrategy.class.getName())
.option(HoodieMetadataConfig.ENABLE.key(), true)
.option(HoodieMetadataConfig.MIN_COMMITS_TO_KEEP.key(),
dataKeepTime + 1)
.option(HoodieMetadataConfig.MAX_COMMITS_TO_KEEP.key(),
dataKeepTime + 2)
.option(HoodieMetadataConfig.CLEANER_COMMITS_RETAINED.key(),
dataKeepTime)
.option(HoodieClusteringConfig.PRESERVE_COMMIT_METADATA.key(), true)
.option(HoodiePayloadProps.PAYLOAD_ORDERING_FIELD_PROP_KEY,
"gmt_modified")
.option(HoodiePayloadProps.PAYLOAD_EVENT_TIME_FIELD_PROP_KEY, "gmt_modified")
.option(HoodieIndexConfig.BLOOM_INDEX_KEYS_PER_BUCKET.key(),
100000)
.option(HoodieIndexConfig.BLOOM_INDEX_PARALLELISM.key(), 200)
.option(HoodieIndexConfig.BLOOM_INDEX_PRUNE_BY_RANGES.key(),
true)
.option(HoodieTableConfig.NAME.key(), "sucx")
.mode(SaveMode.Append)
.save("/tmp/hudi/sucx_test");
long hudi = sparkSession.read().format("hudi")
.load("/tmp/hudi/sucx_test")
.count();
if (hudi > 10000) {
throw new RuntimeException("count grater than 10000:" + hudi);
}
System.out.println("the count is:" + hudi);
}
}
```
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