roSimoes commented on issue #4552:
URL: https://github.com/apache/hudi/issues/4552#issuecomment-1088443335
Hello @nsivabalan, I have the same problem.
The solution presented here solves the problem for the bulk insert but the
upsert remains the same.
In my case I have a job that on the 1st load does bulk_insert and then
inserts data on new loads, all these new loads have dates from 1970.
I'll leave my configs attached:
**Initial Load :**
commonConfig = {'className' : 'org.apache.hudi',
'hoodie.datasource.hive_sync.use_jdbc':'false',
'hoodie.datasource.write.precombine.field': 'updated_date',
'hoodie.datasource.write.recordkey.field': primaryKey,
'hoodie.table.name': tableName,
'hoodie.consistency.check.enabled': 'true',
'hoodie.datasource.hive_sync.database': database,
'hoodie.datasource.hive_sync.table': tableName,
'hoodie.datasource.hive_sync.enable': 'true',
"hoodie.datasource.hive_sync.support_timestamp": "true",
'path': targetPath
}
partitionDataConfig = {'hoodie.datasource.write.partitionpath.field':
partitionKey,
'hoodie.datasource.hive_sync.partition_extractor_class':
'org.apache.hudi.hive.MultiPartKeysValueExtractor',
'hoodie.datasource.hive_sync.partition_fields':
partitionKey
}
initLoadConfig = {'hoodie.bulkinsert.shuffle.parallelism': 68,
'hoodie.datasource.write.operation': 'bulk_insert',
'hoodie.datasource.write.payload.class':
'org.apache.hudi.common.model.EmptyHoodieRecordPayload',
'hoodie.datasource.write.partitions.to.delete': targetPath,
'hoodie.parquet.outputtimestamptype' : 'TIMESTAMP_MICROS'
}
combinedConf = {**commonConfig, **partitionDataConfig, **initLoadConfig}
glueContext.write_dynamic_frame.from_options(frame = DataSource0,
connection_type = "marketplace.spark", connection_options = combinedConf)
**Incremental Load :**
commonConfig = {'className' : 'org.apache.hudi',
'hoodie.datasource.hive_sync.use_jdbc':'false',
'hoodie.datasource.write.precombine.field':
'updated_date',
'hoodie.datasource.write.recordkey.field':
primaryKey,
'hoodie.table.name': tableName,
'hoodie.consistency.check.enabled': 'true',
'hoodie.datasource.hive_sync.database':
database,
'hoodie.datasource.hive_sync.table': tableName,
'hoodie.datasource.hive_sync.enable': 'true',
'hoodie.datasource.hive_sync.support_timestamp': 'true',
'path': targetPath
}
partitionDataConfig = {'hoodie.datasource.write.partitionpath.field':
partitionKey,
'hoodie.datasource.hive_sync.partition_extractor_class':
'org.apache.hudi.hive.MultiPartKeysValueExtractor',
'hoodie.datasource.hive_sync.partition_fields': partitionKey
}
incrementalConfig = {'hoodie.upsert.shuffle.parallelism': 20,
'hoodie.datasource.write.operation':
'upsert',
'hoodie.cleaner.policy':
'KEEP_LATEST_COMMITS',
'hoodie.parquet.outputtimestamptype' :
'TIMESTAMP_MICROS'
}
combinedConf = {**commonConfig, **partitionDataConfig, **incrementalConfig}
DataSink0 = glueContext.write_dynamic_frame.from_options(frame =
DynamicFrame.fromDF(DataSourceDF0, glueContext, "initDf"), connection_type =
"marketplace.spark", connection_options = combinedConf)
Would it be possible for you to help me?
thanks in advance
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