Details
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Bug
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Status: Resolved
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Minor
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Resolution: Fixed
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1.0.1
Description
Hi,
I'm having problems reading parquet files with 'map' data type created by pyarrow.
I followed https://stackoverflow.com/questions/63553715/pyarrow-data-types-for-columns-that-have-lists-of-dictionaries to convert a pandas DF to an arrow table, then call write_table to output a parquet file:
(We also referred to https://issues.apache.org/jira/browse/ARROW-9812)
import pandas as pd import pyarrow as pa import pyarrow.parquet as pq print(f'PyArrow Version = {pa.__version__}') print(f'Pandas Version = {pd.__version__}') df = pd.DataFrame({ 'col1': pd.Series([ [('id', 'something'), ('value2', 'else')], [('id', 'something2'), ('value','else2')], ]), 'col2': pd.Series(['foo', 'bar']) }) udt = pa.map_(pa.string(), pa.string()) schema = pa.schema([pa.field('col1', udt), pa.field('col2', pa.string())]) table = pa.Table.from_pandas(df, schema) pq.write_table(table, './test_map.parquet')
The above code (attached as test_map.py) runs smoothly on my developing computer:
PyArrow Version = 1.0.1 Pandas Version = 1.1.2
And generated the test_map.parquet file (attached as test_map.parquet) successfully.
Then I use parquet-tools (1.11.1) to read the file, but get the following output:
$ java -jar parquet-tools-1.11.1.jar head test_map.parquet col1: .key_value: .key_value: col2 = foo col1: .key_value: .key_value: col2 = bar
I also checked the schema of the parquet file:
java -jar parquet-tools-1.11.1.jar schema test_map.parquet message schema { optional group col1 (MAP) { repeated group key_value { required binary key (STRING); optional binary value (STRING); } } optional binary col2 (STRING); }
Am I doing something wrong?
We need to output the data to parquet files, and query them later.
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