aznwarmonkey edited a comment on issue #4541:
URL: https://github.com/apache/hudi/issues/4541#issuecomment-1008283680
>
Hi,
After making the suggested changes as mentioned above,
The updated config looks like the following
```python
hudi_options = {
'hoodie.table.name': table_name,
'hoodie.datasource.write.keygenerator.class':
'org.apache.hudi.keygen.ComplexKeyGenerator',
'hoodie.datasource.write.recordkey.field': keys,
'hoodie.datasource.write.partitionpath.field':
','.join(partitions),
'hoodie.datasource.write.hive_style_partitioning': True,
'hoodie.datasource.write.table.name': table_name,
'hoodie.datasource.write.table.type': 'COPY_ON_WRITE',
'hoodie.datasource.write.precombine.field': timestamp_col,
'hoodie.index.type': 'BLOOM',
'hoodie.consistency.check.enabled': True,
'hoodie.parquet.small.file.limit': 134217728,
'hoodie.parquet.max.file.size': 1073741824,
'write.bulk_insert.shuffle_by_partition': True,
'hoodie.datasource.write.row.writer.enable': True,
'hoodie.bulkinsert.sort.mode': 'PARTITION_SORT',
'hoodie.bulkinsert.shuffle.parallelism': num_partitons,
'hoodie.cleaner.commits.retained': '1',
'hoodie.clean.async': True,
}
df.write.format('org.apache.hudi') \
.option('hoodie.datasource.write.operation', 'bulk_insert') \
.options(**hudi_options).mode('append').save(output_path)
```
A couple of questions and what I am hoping to accomplish:
- `write.parquet.block.size` is this in bytes or mb? i believe the default
is 120: https://hudi.apache.org/docs/configurations/#writeparquetblocksize
- when writing, I noticed I am getting a bunch of small parquet files
~20-50mb which i am trying to avoid, the desired size is at least 128MB.
Tuning small.file.limit and max.file.size seem to have no noticeable impact,
which is why having clustering is important (as the next time it writes to the
same partition the hope is to combine the small files together)
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