cdmikechen opened a new issue #734: How to upsert data just with memory URL: https://github.com/apache/incubator-hudi/issues/734 I found that there is a `hoodie.write.status.storage.level` configuration in `HoodieWriteConfig` , so I tried to update a row in a hoodie table (750 rows and 400KB). But when using spark to update a row to hoodie , hoodie still shuffle data to disk and not only use memory, and it will take more time.  I think if data is small , hoodie should process data in memory and not shuffle. Is there a way to let hoodie not to shuffle data?
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