magnus-ISU opened a new issue, #6152:
URL: https://github.com/apache/hudi/issues/6152
**Describe the problem you faced**
When writing data (from amazon DMS for example)
'hoodie.datasource.write.payload.class' =
'org.apache.hudi.payload.AWSDmsAvroPayload' the 'Op' column is written to hudi,
but I would like it to not be there. The data is being written to a table which
will be queried by analysts who don't need to know the last operation on the
data.
**To Reproduce**
Steps to reproduce the behavior:
Using pyspark:
Create a dataframe `df` and set variables `s3_bucket_output, table_output,
record_key` etc accordingly. Or use Hudi in any other way, I can't imagine this
is specific to AWS Glue.
```
hoodie_options = {
'hoodie.table.name': table_output,
'hoodie.datasource.write.recordkey.field': record_key,
'hoodie.datasource.write.partitionpath.field': partition_field,
'hoodie.datasource.hive_sync.enable': 'true',
'hoodie.datasource.hive_sync.database': database_output,
'hoodie.datasource.hive_sync.auto_create_database': 'true',
'hoodie.datasource.write.precombine.field': precombine_field,
'hoodie.datasource.hive_sync.table': table_output,
'hoodie.datasource.hive_sync.partition_fields': partition_field,
'hoodie.datasource.hive_sync.use_jdbc':'false',
'hoodie.datasource.hive_sync.partition_extractor_class':
'org.apache.hudi.hive.MultiPartKeysValueExtractor',
'hoodie.meta.sync.classes':
'org.apache.hudi.aws.sync.AwsGlueCatalogSyncTool',
'hoodie.index.type': 'GLOBAL_BLOOM',
'hoodie.bloom.index.update.partition.path': 'true',
'hoodie.datasource.read.schema.use.end.instanttime': 'true',
'hoodie.datasource.write.reconcile.schema': 'true',
'hoodie.datasource.write.payload.class':
'org.apache.hudi.payload.AWSDmsAvroPayload',
'hoodie.datasource.write.precombine.field': record_key,
}
df.write \
.format('org.apache.hudi') \
.options(hoodie_options) \
.mode('append') \
.save(f's3://{s3_bucket_output}/{database_output}/{table_output}')
```
**Expected behavior**
There is a setting to remove this column, or a different payload class which
can do so.
**Environment Description**
* Hudi version: Unsure, how do I find out?
* Spark version: Whatever version AWS Glue Jobs come with
* Hive version: Unsure
* Hadoop version: Unsure
* Storage (HDFS/S3/GCS..) : S3
* Running on Docker? (yes/no) : no
**Additional context**
It appears no such option exists. But it would be simple to extend the
payload class
[here](https://github.com/apache/hudi/blob/ba4e732ba75e12a02d07c09f2662678bdcafbdc2/hudi-spark-datasource/hudi-spark/src/main/java/org/apache/hudi/payload/AWSDmsAvroPayload.java)
to do so, to just drop the column in handleDeleteOperation near line 69.
However, I am using pyspark with AWS glue and thus am unsure if I am able to
do so easily.
If I did so, would a merge request be accepted?
Also, I am extremely bad at using hudi. If I am doing anything else strange
in the options I am setting, let me know. Some things feel very strange to me,
but it will crash with a useless error message if I don't do them. For example,
I think, the record key as precombine field.
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