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Posted to github@arrow.apache.org by GitBox <gi...@apache.org> on 2020/10/12 16:08:32 UTC
[GitHub] [arrow] lf-shaw opened a new issue #8446: [python] crashed when filter pyarrow.dataset on category field
lf-shaw opened a new issue #8446:
URL: https://github.com/apache/arrow/issues/8446
I wanna filter dataset on some (pandas) category field, but python crashed. Some sample code as follows
```python
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
import pyarrow.dataset as ds
# B is category
df = pd.DataFrame({'A': range(4), 'B': list('bccd')})
df['B'] = df['B'].astype('category')
# save to parquet file
table = pa.Table.from_pandas(df)
pq.write_table(table, 'test.parquet')
# read with dataset
dataset = ds.dataset('test.parquet')
# it's ok
dataset.to_table().to_pandas()
# it's ok
dataset.to_table(filter=ds.field('A') > 2).to_pandas()
# it crashed
dataset.to_table(filter=ds.field('B') == 'b').to_pandas()
```
the crash message
```sh
ValueOrDie called on an error: Type error: Cannot compare scalars of differing type: dictionary<values=string, indices=int32, ordered=0> vs string
```
I know in C++ `arrow::DictionaryArray` of course cannot comapre with string. But I wanna know is there any possible to filter on category field in python?
Thanks for your attention, and Thanks for this brilliant lib.
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[GitHub] [arrow] lf-shaw closed issue #8446: [python] crashed when filter pyarrow.dataset on category field
Posted by GitBox <gi...@apache.org>.
lf-shaw closed issue #8446:
URL: https://github.com/apache/arrow/issues/8446
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[GitHub] [arrow] lf-shaw commented on issue #8446: [python] crashed when filter pyarrow.dataset on category field
Posted by GitBox <gi...@apache.org>.
lf-shaw commented on issue #8446:
URL: https://github.com/apache/arrow/issues/8446#issuecomment-707394377
It's cool!
Thanks again.
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[GitHub] [arrow] jorisvandenbossche commented on issue #8446: [python] crashed when filter pyarrow.dataset on category field
Posted by GitBox <gi...@apache.org>.
jorisvandenbossche commented on issue #8446:
URL: https://github.com/apache/arrow/issues/8446#issuecomment-707232146
@lf-shaw yes, this is a known bug with the current dataset implementation. But it has been fixed in the meantime (https://issues.apache.org/jira/browse/ARROW-10008), and the above code snippet works on master / will work in pyarrow 2.0 (to be released in a few days)
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