Zouxxyy commented on issue #6421:
URL: https://github.com/apache/hudi/issues/6421#issuecomment-1221336811
You can view the data inside the parquet file, I use dsq, here is the
difference between set `hoodie.datasource.write.drop.partition.columns` true or
false.
```shell
# hoodie.datasource.write.drop.partition.columns=true
[{"PARGO_PREFIX__hoodie_commit_time":"20220820222444048","PARGO_PREFIX__hoodie_commit_seqno":"20220820222444048_0_2","PARGO_PREFIX__hoodie_record_key":"id:1","PARGO_PREFIX__hoodie_partition_path":"dt=2021-12-09/hh=11","PARGO_PREFIX__hoodie_file_name":"68851b87-16d6-4b31-9467-2ce99d5d6984-0_0-25-0_20220820222444048.parquet","Id":1,"Name":"a1","Ts":1001}]
# hoodie.datasource.write.drop.partition.columns=false
[{"PARGO_PREFIX__hoodie_commit_time":"20220820233435669","PARGO_PREFIX__hoodie_commit_seqno":"20220820233435669_0_3","PARGO_PREFIX__hoodie_record_key":"id:1","PARGO_PREFIX__hoodie_partition_path":"dt=2021-12-09/hh=11","PARGO_PREFIX__hoodie_file_name":"76c6f4e6-dff9-40c3-993d-9890018e8d2e-0_0-42-0_20220820233435669.parquet","Id":1,"Name":"a1","Ts":1001,"Dt":"2021-12-09","Hh":"11"}]
```
`hoodie.datasource.write.drop.partition.columns` looks useful.
And if you use spark-sql query, the partition field will be displayed, I
guess some kind of optimization is done when querying.
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