jwimberl opened a new issue, #579: URL: https://github.com/apache/arrow-datafusion-python/issues/579
**Describe the bug** `pip` recently switched to installing datafusion with version string `'35.0.0'`. Compared to a previous installation of version `'34.0.0'`, creating an external table from hive-partitioned parquet data following the [https://arrow.apache.org/datafusion/user-guide/sql/ddl.html](documented instructions) does not work. While all the partition columns show up as columns of the table, the columns from the parquet data themselves do not appear. **To Reproduce** ``` # prepare fake data import pyarrow as pa import pyarrow.parquet as pq import pandas as pd data = pd.DataFrame(data={'col1': [1, 2], 'col2': [3, 4]}) table = pa.Table.from_pandas(data) import os os.mkdir("fake=0") pq.write_table(table,"./fake=0/data.parquet") # load into datafusion import datafusion as df ctx = df.SessionContext() ctx.sql(""" CREATE EXTERNAL TABLE data STORED AS PARQUET PARTITIONED BY (fake) LOCATION './*/data.parquet' """) ``` The loaded data is missing `col1` and `col2`: ``` >>> ctx.sql("SELECT * FROM data") DataFrame() +------+ | fake | +------+ | 0 | | 0 | +------+ >>> ctx.sql("SELECT table_name, column_name FROM information_schema.columns") DataFrame() +------------+-------------+ | table_name | column_name | +------------+-------------+ | data | fake | +------------+-------------+ ``` **Expected behavior** The same steps with DataFusion `34.0.0` produce the following output: ``` >>> ctx.sql("SELECT * FROM data"); DataFrame() +------+------+------+ | col1 | col2 | fake | +------+------+------+ | 1 | 3 | 0 | | 2 | 4 | 0 | +------+------+------+ >>> ctx.sql("SELECT table_name, column_name FROM information_schema.columns") DataFrame() +------------+-------------+ | table_name | column_name | +------------+-------------+ | data | col1 | | data | col2 | | data | fake | +------------+-------------+ ``` **Additional context** Operating system: Rocky 8 Python version: `3.10.11` DataFusion version: `35.0.0`, recently installed via pip pyarrow version: `15.0.0` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
