ulysses-you opened a new pull request, #4349:
URL: https://github.com/apache/paimon/pull/4349
<!-- Please specify the module before the PR name: [core] ... or [flink] ...
-->
### Purpose
<!-- Linking this pull request to the issue -->
Paimon uses `.toString` to generate partition value, which is not accurate
for some data types. like date/binary. Say, Spark engine would use a `Cast` to
convert a partition object to string value. So this pr changes to use cast to
generate partition value.
Add a new config `partition.legacy-name` to support switch to use previous
`toString` behavior.
An example that using binary type partition column would cause failure.
```
CREATE TABLE pt (
id BIGINT,
c1 STRING
) using paimon
PARTITIONED BY (day binary);
insert into table pt values(1, 'a', cast('2021' as binary));
select * from pt;
```
```
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID
1) (192.168.0.102 executor driver): java.io.FileNotFoundException: File
'warehouse/default.db/pt/day=%5BB@4a045a11/bucket-0/data-91c064a3-a0a1-4042-9d5a-cc82a23af7ff-0.parquet'
not found, Possible causes: 1.snapshot expires too fast, you can configure
'snapshot.time-retained' option with a larger value. 2.consumption is too slow,
you can improve the performance of consumption (For example, increasing
parallelism).
```
<!-- What is the purpose of the change -->
### Tests
<!-- List UT and IT cases to verify this change -->
add test
### API and Format
<!-- Does this change affect API or storage format -->
no
### Documentation
<!-- Does this change introduce a new feature -->
added docs
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