[
https://issues.apache.org/jira/browse/SPARK-55507?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated SPARK-55507:
-----------------------------------
Labels: pull-request-available (was: )
> is_geometry and is_geography crash with TypeError when struct field has no
> metadata
> -----------------------------------------------------------------------------------
>
> Key: SPARK-55507
> URL: https://issues.apache.org/jira/browse/SPARK-55507
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 4.2.0
> Reporter: Yicong Huang
> Priority: Minor
> Labels: pull-request-available
>
> {{is_geometry()}} and {{is_geography()}} in
> {{python/pyspark/sql/pandas/types.py}} crash when a PyArrow struct contains a
> field named {{wkb}} without metadata.
> PyArrow fields have {{metadata=None}} by default (not an empty dict). The
> current code does:
> {code:python}
> field.name == "wkb"
> and b"geometry" in field.metadata # TypeError if metadata is None
> and field.metadata[b"geometry"] == b"true"
> {code}
> This raises {{TypeError: argument of type 'NoneType' is not iterable}}.
> These functions are called from {{from_arrow_type()}} for every struct type,
> which is used in {{toPandas()}}, {{pandas_udf}}, and Spark Connect schema
> parsing. Any user with a struct containing a field named {{wkb}} without
> geometry metadata will hit this crash.
> The fix is to add a {{field.metadata is not None}} check before the {{in}}
> operator:
> {code:python}
> field.name == "wkb"
> and field.metadata is not None
> and b"geometry" in field.metadata
> and field.metadata[b"geometry"] == b"true"
> {code}
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
