[SUPPORT]What would be the best or high performant production level hoodie configs to be used for unpartitioned dataset??

[gtwuser]

Describe the problem you faced

A clear and concise description of the problem.
I need to know from hoodie gurus what would be the best configuration for high performing read / write operations. In the given scenario i have multiple files each with average sized of 25MB. Total size of all files together would be 6GB. Total number of files is 354. Its all JSON data. We want to ingest it into hudi as soon as possible with the hudi metadata.

Please not we don't have fix field for partitioning. So if possible can you tell us configs for un-partitioned data

So the ask is what would be precise hoodie configs which we can use to get quick write and read.

^^ @nsivabalan @vinothchandar @umehrot2 or anybody who may have some insights.

[ad1happy2go]

@gtwuser
Sorry for the delay in response.
Can you tell us more about your use case. Do you want to ingest this amount of data one time only, or at what frequency you will be ingesting the data.
Do you need quick write or quick read. Is your workloads have lots of updates. We can choose the table type according to that.