Takuya Ueshin created SPARK-42982:
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Summary: Fix createDataFrame from pandas with map type
Key: SPARK-42982
URL: https://issues.apache.org/jira/browse/SPARK-42982
Project: Spark
Issue Type: Sub-task
Components: Connect
Affects Versions: 3.4.0
Reporter: Takuya Ueshin
{code:python}
>>> import pandas as pd
>>>
>>> map_data = [{"a": 1}, {"b": 2, "c": 3}, {}, None, {"d": None}]
>>> pdf = pd.DataFrame({"id": [0, 1, 2, 3, 4], "m": map_data})
>>> schema = "id long, m map<string, long>"
>>> spark.createDataFrame(pdf, schema=schema)
Traceback (most recent call last):
...
pyspark.errors.exceptions.connect.AnalysisException:
[INVALID_COLUMN_OR_FIELD_DATA_TYPE] Column or field `col_1` is of type
"STRUCT<col_0: BIGINT, col_1: BIGINT, col_2: BIGINT, col_3: VOID>" while it's
required to be "MAP<STRING, BIGINT>".
{code}
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