gtwuser opened a new issue, #6925:
URL: https://github.com/apache/hudi/issues/6925
A clear and concise description of the problem.
using below configs as mentioned in document we are writing to hudi tables
multiple dataframes concurrently using the
`concurrent.futures.ProcessPoolExecutor(max_workers=200) as executor`, but the
Dynamo DB is not getting created. Please correct me here, trying to undetrstand
why isnt the dynamo DB getting created ?
```bash
'hoodie.write.lock.provider':
'org.apache.hudi.aws.transaction.lock.DynamoDBBasedLockProvider',
'hoodie.write.lock.dynamodb.table': 'hudi_db_lock',
'hoodie.write.lock.dynamodb.endpoint_url':'dynamodb.us-east-1.amazonaws.com',
'hoodie.write.lock.dynamodb.partition_key': 'hudi_db_lock',
```
`Full config`:
```bash
commonConfig = {
'className': 'org.apache.hudi',
'hoodie.datasource.hive_sync.use_jdbc': 'false',
'hoodie.datasource.write.precombine.field':
'payload.recordedAt',
'hoodie.datasource.write.recordkey.field':
'metadata.msgID,metadata.topic',
'hoodie.write.lock.provider':
'org.apache.hudi.aws.transaction.lock.DynamoDBBasedLockProvider',
'hoodie.write.lock.dynamodb.table': 'hudi_db_lock',
'hoodie.write.lock.dynamodb.endpoint_url':'dynamodb.us-east-1.amazonaws.com',
'hoodie.write.lock.dynamodb.partition_key': 'hudi_db_lock',
'hoodie.table.name': 'sse',
# 'hoodie.consistency.check.enabled': 'true',
'hoodie.datasource.hive_sync.database':
args['database_name'],
'hoodie.datasource.write.reconcile.schema': 'true',
'hoodie.datasource.hive_sync.table':
f'sse_{"_".join(prefix.split("/")[-7:-5])}'.lower(),
'hoodie.datasource.hive_sync.enable': 'true',
'path': 's3://' + args['curated_bucket'] +
'/merged/sse-native/' + f'{prefix.split("/")[-7]}'.lower(),
# 1,024 * 1,024 * 128 = 134,217,728 (134 MB)
'hoodie.parquet.small.file.limit': '307200',
'hoodie.parquet.max.file.size': '128000000'
}
```
**Environment Description**
* Hudi version : 0.11.1
* Spark version : 3.1
* Storage (HDFS/S3/GCS..) : S3
* Running on Docker? (yes/no) : no
**Additional context**
Add any other context about the problem here.
We are running hudi apis via aws glue jobs
@n3nash @nsivabalan @alexeykudinkin please provide some pointer on this.
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