RLashofRegas opened a new issue, #8846:
URL: https://github.com/apache/iceberg/issues/8846
### Feature Request / Improvement
I am using iceberg v0.14.0 w/ Spark 3.3.0 on Amazon EMR 6.8.0.
We are trying to implement regular table maintenance on a table that uses
partition transforms. Let's say we have a table with DDL like:
```sql
CREATE TABLE glue_catalog.my_db.my_table (
load_date TIMESTAMP,
...
)
USING iceberg
PARTITIONED BY (years(load_date), months(load_date), days(load_date))
...
```
Ideally for this table we'd like to call one of the following:
1. `CALL glue_catalog.system.rewrite_data_files(table =>
'glue_catalog.my_db.my_table', where => "date(load_date)='2023-01-01'")`
2. `CALL glue_catalog.system.rewrite_data_files(table =>
'glue_catalog.my_db.my_table', where => "year(load_date)=2023 AND
month(load_date)=1")`
3. `CALL glue_catalog.system.rewrite_data_files(table =>
'glue_catalog.my_db.my_table', where => "date(load_date)=DATE_TRUNC('MM',
CURRENT_DATE) - INTERVAL 1 MONTH")`
4. etc.
Whenever I try one of these I get various exceptions:
- `date(load_date)='2023-10-01'` -> `Py4JJavaError: An error occurred while
calling o101.sql: java.util.NoSuchElementException: None.get`
- `years(load_date)=2023` -> `IllegalArgumentException: Cannot parse
predicates in where option: years(load_date)=2023`
### Query engine
Spark
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