[ https://issues.apache.org/jira/browse/ARROW-7350?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
David Li resolved ARROW-7350. ----------------------------- Resolution: Fixed Issue resolved by pull request 12902 [https://github.com/apache/arrow/pull/12902] > [Python] Parquet file metadata min and max statistics not decoded from bytes > for Decimal data types > --------------------------------------------------------------------------------------------------- > > Key: ARROW-7350 > URL: https://issues.apache.org/jira/browse/ARROW-7350 > Project: Apache Arrow > Issue Type: Bug > Components: Python > Affects Versions: 0.15.1 > Reporter: Max Firman > Assignee: Will Jones > Priority: Major > Labels: pull-request-available > Fix For: 8.0.0 > > Time Spent: 40m > Remaining Estimate: 0h > > Parquet file metadata for Decimal type columns contain min and max values > that are not decoded from bytes into Decimals. This causes issues in > dependent libraries like Dask (see > [https://github.com/dask/dask/issues/5647]). > > {code:python|title=Reproducible example|borderStyle=solid} > from decimal import Decimal > import random > import pandas as pd > import pyarrow.parquet as pq > import pyarrow as pa > NUM_DATA_POINTS_PER_PARTITION = 25 > random.seed(0) > data1 = [{"col1": Decimal(f"{random.randint(0, 999)}.{random.randint(0, > 99)}")} for i in range(NUM_DATA_POINTS_PER_PARTITION)] > df = pd.DataFrame(data1) > table = pa.Table.from_pandas(df) > pq.write_table(table, 'my_data.parquet') > parquet_file = pq.ParquetFile('my_data.parquet') > assert > isinstance(parquet_file.metadata.row_group(0).column(0).statistics.min, > Decimal) # <-- AssertionError here because min has type bytes rather than > Decimal > assert > isinstance(parquet_file.metadata.row_group(0).column(0).statistics.max, > Decimal) > {code} > > > -- This message was sent by Atlassian Jira (v8.20.1#820001)