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https://issues.apache.org/jira/browse/SPARK-2010?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14085743#comment-14085743
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Nicholas Chammas commented on SPARK-2010:
-----------------------------------------
I just tried this on {{master}}:
{code}
>>> from pyspark.sql import SQLContext
>>> sqlContext = SQLContext(sc)
>>> a = sc.parallelize([{'d': 4}, {'d': 10}])
>>> sqlContext.inferSchema(a)
.../python/pyspark/sql.py:1017: UserWarning: Using RDD of dict to inferSchema
is deprecated
warnings.warn("Using RDD of dict to inferSchema is deprecated")
MapPartitionsRDD[9] at mapPartitions at SchemaRDD.scala:408
{code}
Is this warning a hint at the work described in this JIRA issue? If so, what is
the new way of converting an RDD of Python dictionaries to a SchemaRDD?
> Support for nested data in PySpark SQL
> --------------------------------------
>
> Key: SPARK-2010
> URL: https://issues.apache.org/jira/browse/SPARK-2010
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Michael Armbrust
> Assignee: Davies Liu
> Priority: Blocker
> Fix For: 1.1.0
>
>
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