You are viewing a plain text version of this content. The canonical link for it is here.
Posted to jira@arrow.apache.org by "Juan Galvez (Jira)" <ji...@apache.org> on 2021/05/12 20:04:00 UTC

[jira] [Created] (ARROW-12762) [Python] pyarrow.lib.Schema equality fails after pickle and unpickle

Juan Galvez created ARROW-12762:
-----------------------------------

             Summary: [Python] pyarrow.lib.Schema equality fails after pickle and unpickle
                 Key: ARROW-12762
                 URL: https://issues.apache.org/jira/browse/ARROW-12762
             Project: Apache Arrow
          Issue Type: Bug
    Affects Versions: 4.0.0
            Reporter: Juan Galvez


Here is a small reproducer:
{code:python}
import pandas as pd
from pyspark.sql import SparkSession
import pyarrow.parquet as pq
import pickle

df = pd.DataFrame(
    {
        "A": [
            ["aa", "bb "],
            ["c"],
            ["d", "ee", "", "f"],
            ["ggg", "H"],
            [""],
        ]
    }
)

spark = SparkSession.builder.appName("GenSparkData").getOrCreate()
spark_df = spark.createDataFrame(df)
spark_df.write.parquet("list_str.pq", "overwrite")

ds = pq.ParquetDataset("list_str.pq")
assert pickle.loads(pickle.dumps(ds.schema)) == ds.schema # PASSES
assert pickle.loads(pickle.dumps(ds.schema.to_arrow_schema())) == ds.schema.to_arrow_schema() # FAILS
{code}



--
This message was sent by Atlassian Jira
(v8.3.4#803005)