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https://issues.apache.org/jira/browse/SPARK-11437?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15074733#comment-15074733
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Maciej Bryński commented on SPARK-11437:
----------------------------------------
There is such an API, but not public.
{code}
from pyspark.sql.types import _verify_type
{code}
> createDataFrame shouldn't .take() when provided schema
> ------------------------------------------------------
>
> Key: SPARK-11437
> URL: https://issues.apache.org/jira/browse/SPARK-11437
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Reporter: Jason White
> Assignee: Jason White
> Fix For: 1.6.0
>
>
> When creating a DataFrame from an RDD in PySpark, `createDataFrame` calls
> `.take(10)` to verify the first 10 rows of the RDD match the provided schema.
> Similar to https://issues.apache.org/jira/browse/SPARK-8070, but that issue
> affected cases where a schema was not provided.
> Verifying the first 10 rows is of limited utility and causes the DAG to be
> executed non-lazily. If necessary, I believe this verification should be done
> lazily on all rows. However, since the caller is providing a schema to
> follow, I think it's acceptable to simply fail if the schema is incorrect.
> https://github.com/apache/spark/blob/master/python/pyspark/sql/context.py#L321-L325
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