puchengy opened a new issue, #46:
URL: https://github.com/apache/iceberg-python/issues/46
### Apache Iceberg version
None
### Please describe the bug 🐞
v1 data file spec_id is optionally, but it seems spark is able to recognize
the spec_id, but pyiceberg can't, any idea why?
spark
```
spark-sql> select * from pyang.test_ray_iceberg_read.files;
content file_path file_format spec_id partition
record_count file_size_in_bytes column_sizes value_counts
null_value_counts nan_value_counts lower_bounds upper_bounds
key_metadata split_offsets equality_ids sort_order_id readable_metrics
0
s3n://qubole-pinterest/warehouse/pyang.db/test_ray_iceberg_read/dt=2022-01-02/userid_bucket_16=4/00000-2-72876d76-7f6a-4b82-812e-5390351917ef-00001.parquet
PARQUET 1 {"dt":"2022-01-02","userid_bucket_16":4} 1
871 {1:36,2:37,3:46} {1:1,2:1,3:1} {1:0,2:0,3:0} {}
{1:,2:2,3:2022-01-02} {1:,2:2,3:2022-01-02} NULL [4] NULL 0
{"col":{"column_size":37,"value_count":1,"null_value_count":0,"nan_value_count":null,"lower_bound":"2","upper_bound":"2"},"dt":{"column_size":46,"value_count":1,"null_value_count":0,"nan_value_count":null,"lower_bound":"2022-01-02","upper_bound":"2022-01-02"},"userid":{"column_size":36,"value_count":1,"null_value_count":0,"nan_value_count":null,"lower_bound":2,"upper_bound":2}}
0
s3n://qubole-pinterest/warehouse/pyang.db/test_ray_iceberg_read/dt=2022-01-01/00000-1-f2b3a0c1-a3e3-482a-bf24-9831626c5be7-00001.parquet
PARQUET 0 {"dt":"2022-01-01","userid_bucket_16":null} 1
870 {1:36,2:36,3:46} {1:1,2:1,3:1} {1:0,2:0,3:0} {}
{1:,2:1,3:2022-01-01} {1:,2:1,3:2022-01-01} NULL [4] NULL 0
{"col":{"column_size":36,"value_count":1,"null_value_count":0,"nan_value_count":null,"lower_bound":"1","upper_bound":"1"},"dt":{"column_size":46,"value_count":1,"null_value_count":0,"nan_value_count":null,"lower_bound":"2022-01-01","upper_bound":"2022-01-01"},"userid":{"column_size":36,"value_count":1,"null_value_count":0,"nan_value_count":null,"lower_bound":1,"upper_bound":1}}
Time taken: 0.494 seconds, Fetched 2 row(s)
```
pyiceberg (0.4.0)
```
>>> tasks2[0]
FileScanTask(file=DataFile[file_path='s3n://qubole-pinterest/warehouse/pyang.db/test_ray_iceberg_read/dt=2022-01-02/userid_bucket_16=4/00000-2-72876d76-7f6a-4b82-812e-5390351917ef-00001.parquet',
file_format=FileFormat.PARQUET, partition=Record[dt='2022-01-02',
userid_bucket_16=4], record_count=1, file_size_in_bytes=871, column_sizes={1:
36, 2: 37, 3: 46}, value_counts={1: 1, 2: 1, 3: 1}, null_value_counts={1: 0, 2:
0, 3: 0}, nan_value_counts={}, lower_bounds={1: b'\x02\x00\x00\x00', 2: b'2',
3: b'2022-01-02'}, upper_bounds={1: b'\x02\x00\x00\x00', 2: b'2', 3:
b'2022-01-02'}, key_metadata=None, split_offsets=[4], sort_order_id=0,
content=DataFileContent.DATA, equality_ids=None, spec_id=None],
delete_files=set(), start=0, length=871)
>>> tasks2[1]
FileScanTask(file=DataFile[file_path='s3n://qubole-pinterest/warehouse/pyang.db/test_ray_iceberg_read/dt=2022-01-01/00000-1-f2b3a0c1-a3e3-482a-bf24-9831626c5be7-00001.parquet',
file_format=FileFormat.PARQUET, partition=Record[dt='2022-01-01'],
record_count=1, file_size_in_bytes=870, column_sizes={1: 36, 2: 36, 3: 46},
value_counts={1: 1, 2: 1, 3: 1}, null_value_counts={1: 0, 2: 0, 3: 0},
nan_value_counts={}, lower_bounds={1: b'\x01\x00\x00\x00', 2: b'1', 3:
b'2022-01-01'}, upper_bounds={1: b'\x01\x00\x00\x00', 2: b'1', 3:
b'2022-01-01'}, key_metadata=None, split_offsets=[4], sort_order_id=0,
content=DataFileContent.DATA, equality_ids=None, spec_id=None],
delete_files=set(), start=0, length=870)
```
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