ValerioDeBlasio opened a new issue #12470:
URL: https://github.com/apache/arrow/issues/12470
When reading a file with 7M records and groups of 10k records using Pyarrow
7.0.0, read_table crash without an error, just gave "10: SIGBUS".
If increase the size of groups to 100K it works.
If use the option use_legacy_dataset to True it works too.
Version 6.0.1 of Pyarrow works fine without the need for the
use_legacy_dataset option.
```
file_name = 'output.parquet'
schema = pa.schema([
pa.field('DATE', pa.timestamp('ns')),
pa.field('OUTCOME', pa.string())
])
parquet_writer = pq.ParquetWriter(file_name,
schema,
compression='snappy',
allow_truncated_timestamps=True,
version='2.6',
data_page_version='2.0'
)
## create file with 7M records with groups size of 10K records
for i in range(700):
tbl = pa.Table.from_arrays([
pc.cast(pa.array(['2021-01-01T10:10:10'] * 10_000),
pa.timestamp('ns')),
pa.array(['OK'] * 10_000),
], schema=schema)
parquet_writer.write_table(tbl)
parquet_writer.close()
### pyarrow version 7.0.0
pq.read_table(file_name, columns=['OUTCOME']) # fail 10: SIGBUS
pq.read_table(file_name, columns=['OUTCOME'], use_legacy_dataset=True) #
works
### pyarrow version 6.0.1
pq.read_table(file_name, columns=['OUTCOME']) # works
pq.read_table(file_name, columns=['OUTCOME'], use_legacy_dataset=True) #
works
```
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