nsivabalan commented on PR #17787:
URL: https://github.com/apache/hudi/pull/17787#issuecomment-3789019320
```
.option("hoodie.datasource.write.keygenerator.class",
"org.apache.hudi.keygen.TimestampBasedKeyGenerator")
.option("hoodie.keygen.timebased.timestamp.type", "DATE_STRING")
.option("hoodie.keygen.timebased.input.dateformat", "yyyy-MM-dd")
.option("hoodie.keygen.timebased.output.dateformat", "yyyy/MM/dd")
```
This might achieve the same output dir structure you are looking for.
```
spark.sql(
s"""
| CREATE TABLE hudi_table (
| id int,
| name string,
| date_field string
| ) USING HUDI
| PARTITIONED BY (date_field)
| LOCATION '$tablePath'
| TBLPROPERTIES (
| type = 'COPY_ON_WRITE',
| primaryKey = 'id',
| hoodie.datasource.write.partitionpath.field = 'date_field',
| hoodie.table.keygenerator.class =
'org.apache.hudi.keygen.TimestampBasedKeyGenerator',
| hoodie.keygen.timebased.timestamp.type = 'DATE_STRING',
| hoodie.keygen.timebased.input.dateformat = 'yyyy-MM-dd',
| hoodie.keygen.timebased.output.dateformat = 'yyyy/MM/dd'
| )
|""".stripMargin)
spark.sql("INSERT INTO hudi_table VALUES (1, 'test', '2026-01-21')")
```
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