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fetch_df_chunk() on parquet files in Python API #4995

@cpmgs

Description

@cpmgs

What happens?

Based on https://duckdb.org/docs/api/python/reference/ the fetch_df_chunk() docs read:

Fetch a chunk of the result as Data.Frame following execute()

The way I understand it is that if I perform a db_conn.execute('....').fetch_df_chunks(10) I would get the first 10 rows back. Mind you; I may very well be wrong, but in the event I am not, there is something that may not be working. When I use the fetch_df_chunk() then regardless of the value I put as an argument (apart from 0 which does not return anything) all the rows from the source are returned. I have only tried this against parquet files, so whether the potential issue is more general than this, I cannot say.

To Reproduce

import pandas as pd
import numpy as np
import duckdb

df = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))
df.to_parquet('test.parquet', engine='pyarrow', compression='snappy')
db_conn = duckdb.connect()
db_conn.execute("SELECT A FROM parquet_scan('test.parquet')").fetch_df_chunk(10)

Tested with Python 3.10.5, pandas==1.4.3, numpy==1.23.1 and duckdb==0.5.1

OS:

Windows 10

DuckDB Version:

0.5.1

DuckDB Client:

Python

Full Name:

Thomas Nielsen

Affiliation:

Coop

Have you tried this on the latest master branch?

  • I agree

Have you tried the steps to reproduce? Do they include all relevant data and configuration? Does the issue you report still appear there?

  • I agree

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