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https://issues.apache.org/jira/browse/SPARK-55361?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Casimir Giesler updated SPARK-55361:
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Description:
python/docs/source/tutorial/sql/python_data_source.rst gives an example for
using PyArrow RecordBatch.
In the example, the Schema is specified twice, once for Spark
{code:java}
def schema(self):
return "key int, value string" {code}
and then again for PyArrow
{code:java}
def read(self, partition):
...
schema = pa.schema([("key", pa.int32()), ("value", pa.string())]) {code}
I am proposing to change the documentation to only specify a Spark schema and
to use
{{{}pyspark.sql.pandas.types.{}}}{{{}to_arrow_schema(){}}} to convert the Spark
schema to arrow.
was:
python/docs/source/tutorial/sql/python_data_source.rst gives an example for
using PyArrow RecordBatch.
In the example, the Schema is specified twice, once for Spark
{code:java}
def schema(self):
return "key int, value string" {code}
and then again for PyArrow
{code:java}
def read(self, partition):
...
schema = pa.schema([("key", pa.int32()), ("value", pa.string())]) {code}
I am proposing to change the documentation to only specify a Spark schema and
to use
{{{}pyspark.sql.pandas.types.{}}}{{to_arrow_schema()}} to convert the Spark
schema to arrow.
> add to_arrow_schema python_data_source.rst to avoid double-specifying schema
> ----------------------------------------------------------------------------
>
> Key: SPARK-55361
> URL: https://issues.apache.org/jira/browse/SPARK-55361
> Project: Spark
> Issue Type: Documentation
> Components: Documentation, Examples, PySpark
> Affects Versions: 4.0.0, 4.0.1, 4.1.1
> Reporter: Casimir Giesler
> Priority: Minor
>
> python/docs/source/tutorial/sql/python_data_source.rst gives an example for
> using PyArrow RecordBatch.
> In the example, the Schema is specified twice, once for Spark
> {code:java}
> def schema(self):
> return "key int, value string" {code}
> and then again for PyArrow
> {code:java}
> def read(self, partition):
> ...
> schema = pa.schema([("key", pa.int32()), ("value", pa.string())]) {code}
> I am proposing to change the documentation to only specify a Spark schema and
> to use
> {{{}pyspark.sql.pandas.types.{}}}{{{}to_arrow_schema(){}}} to convert the
> Spark schema to arrow.
>
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