cafelo-pfdrive commented on issue #4873:
URL: https://github.com/apache/hudi/issues/4873#issuecomment-1060892801
Hello @Gatsby-Lee
Here it goes the Hudi (MOR) configuration
commonConfig = {
'className' : 'org.apache.hudi',
"path": "s3://poc-lake-silver/interval_mor_hour/data/",
'hoodie.upsert.shuffle.parallelism': 160,
'hoodie.simple.index.parallelism' : 320,
'hoodie.datasource.write.operation': 'upsert',
'hoodie.table.type': 'MERGE_ON_READ',
'hoodie.index.type': 'SIMPLE'
}
partitionDataConfig = {
'hoodie.datasource.hive_sync.partition_extractor_class':
'org.apache.hudi.hive.MultiPartKeysValueExtractor'}
dataSourceWriteConfig = {
'hoodie.datasource.write.table.type': 'MERGE_ON_READ',
'hoodie.datasource.write.keygenerator.class':
'org.apache.hudi.keygen.ComplexKeyGenerator',
'hoodie.datasource.write.precombine.field': 'ingestionutc',
'hoodie.datasource.write.partitionpath.field':
'plantuid,intervaldate,intervalhour',
'hoodie.datasource.write.recordkey.field': 'intervalutc,asset,attribute'
}
dataSourceHiveConfig = {
'hoodie.datasource.hive_sync.use_jdbc':'false',
'hoodie.datasource.hive_sync.enable': 'true',
'hoodie.datasource.hive_sync.database': 'db_swat_lake_silver',
'hoodie.datasource.hive_sync.table': 'interval_mor_hour',
'hoodie.datasource.hive_sync.partition_fields':
'plantuid,intervaldate,intervalhour'
}
dataTableConfig = {
'hoodie.table.keygenerator.class':
'org.apache.hudi.keygen.ComplexKeyGenerator',
'hoodie.database.name': 'db_swat_lake_silver',
'hoodie.table.name': 'interval_mor_hour',
}
Please see also the Spark Session configuration
spark =
SparkSession.builder.config('spark.serializer','org.apache.spark.serializer.KryoSerializer')
\
.config('spark.driver.memory','10') \
.config('spark.executor.memory', '8g') \
.config('spark.executor.cores', '4') \
.config('spark.executor.instances', '160') \
.config('spark.driver.memoryOverhead','1024') \
.config('spark.executor.memoryOverhead','1024') \
.config('spark.default.parallelism','160') \
.config('spark.sql.shuffle.partitions','320') \
.config('spark.memory.storageFraction','0.2') \
.config('spark.sql.hive.convertMetastoreParquet','false').getOrCreate()
Running the job in AWS Glue with 20 GPUs
each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk)
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