Skip to content

[SUPPORT] Spark Fails to Process 300Gb Of Data #2003

@rubenssoto

Description

@rubenssoto

Hi Guys,

I'm trying to migrate my biggest dataset to Hudi and I'm facing some errors.

Data Size: 350Gb
Spark Master: 4 Cpus, 16 Gb Ram
Cores Nodes: 8 R5.4xLarge = 16 cpus, 122 Gb ram EACH

MY spark Submit:

spark-submit --deploy-mode cluster --conf "spark.executor.extraJavaOptions -XX:NewSize=1g -XX:SurvivorRatio=2 -XX:+UseCompressedOops -XX:+UseConcMarkSweepGC -XX:+UseParNewGC -XX:CMSInitiatingOccupancyFraction=70 -XX:+PrintGCDetails -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:+PrintGCApplicationStoppedTime -XX:+PrintGCApplicationConcurrentTime -XX:+PrintTenuringDistribution -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/tmp/hoodie-heapdump.hprof" --conf spark.executor.cores=5 --conf spark.executor.memory=33g --conf spark.executor.memoryOverhead=2048 --conf spark.serializer=org.apache.spark.serializer.KryoSerializer --conf spark.sql.hive.convertMetastoreParquet=false --packages org.apache.hudi:hudi-spark-bundle_2.11:0.5.3,org.apache.spark:spark-avro_2.11:2.4.4

My hudi Options:

{
"hoodie.datasource.write.recordkey.field":"id",
"hoodie.table.name":"stockout",
"hoodie.datasource.write.table.name":"stockout",
"hoodie.datasource.write.operation":"bulk_insert",
"hoodie.datasource.write.partitionpath.field":"created_date_brt",
"hoodie.datasource.write.hive_style_partitioning":"true",
"hoodie.combine.before.insert":"true",
"hoodie.combine.before.upsert":"false",
"hoodie.datasource.write.precombine.field":"LineCreatedTimestamp",
"hoodie.datasource.write.keygenerator.class":"org.apache.hudi.keygen.SimpleKeyGenerator",
"hoodie.parquet.small.file.limit":996147200,
"hoodie.parquet.max.file.size":1073741824,
"hoodie.parquet.block.size":1073741824,
"hoodie.copyonwrite.record.size.estimate":512,
"hoodie.cleaner.commits.retained":10,
"hoodie.datasource.hive_sync.enable":"true",
"hoodie.datasource.hive_sync.database":"datalake_raw",
"hoodie.datasource.hive_sync.table":"stockout",
"hoodie.datasource.hive_sync.partition_fields":"created_date_brt",
"hoodie.datasource.hive_sync.partition_extractor_class":"org.apache.hudi.hive.MultiPartKeysValueExtractor",
"hoodie.datasource.hive_sync.jdbcurl":"jdbc:hive2://ip-10-0-21-127.us-west-2.compute.internal:10000",
"hoodie.insert.shuffle.parallelism":1500,
"hoodie.bulkinsert.shuffle.parallelism":700,
"hoodie.upsert.shuffle.parallelism":1500
}

Captura de Tela 2020-08-20 às 16 15 10

Captura de Tela 2020-08-20 às 16 14 38

Captura de Tela 2020-08-20 às 16 14 10

Captura de Tela 2020-08-20 às 16 13 46

I tried use bulk_insert paralelism with 4000 but didn't work. I really don't know what to do...

Thank you.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions