michael1991 commented on issue #10828:
URL: https://github.com/apache/hudi/issues/10828#issuecomment-1980451478
Thanks for your quick response! @ad1happy2go
Spark writer configuration:
```scala
newDetails.write.format("hudi")
.option(RECORDKEY_FIELD.key(), "id")
.option(PRECOMBINE_FIELD.key(), "id")
.option(SCHEMA_EVOLUTION_ENABLED.key(), "true")
.option(DATABASE_NAME.key(), "db_prod")
.option(INDEX_TYPE.key(), "BLOOM")
.option(COMBINE_BEFORE_UPSERT.key(), "false")
.option(INSERT_PARALLELISM_VALUE.key(), "30")
.option(UPSERT_PARALLELISM_VALUE.key(), "200")
.option(CLEANER_COMMITS_RETAINED.key(), "4")
.option(ASYNC_CLEAN.key(), "false")
.option(PARTITIONPATH_FIELD.key(), "req_date,req_hour")
.option(TBL_NAME.key(), TBL_LOG_INCREMENT_DETAILS_NAME)
.option(OPERATION.key(), INSERT_OPERATION_OPT_VAL)
.option(WRITE_PAYLOAD_CLASS_NAME.key(), CUSTOM_PAYLOAD_CLASS)
.option(COPY_ON_WRITE_RECORD_SIZE_ESTIMATE.key(), "64")
.mode(SaveMode.Append).save(TBL_LOG_INCREMENT_DETAILS_PATH)
```
Schema just like: id string, req_date string, req_hour string, etc.
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