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https://issues.apache.org/jira/browse/SPARK-9807?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15261062#comment-15261062
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Davies Liu commented on SPARK-9807:
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The type inferring here is talking about get the type from Python objects
inside the RDD. nothing bout CSV/TSV.
btw, Spark had CVS data source in 2.0, that one will do type inferring for CSV.
> pyspark.sql.createDataFrame does not infer data type of parsed TSV
> ------------------------------------------------------------------
>
> Key: SPARK-9807
> URL: https://issues.apache.org/jira/browse/SPARK-9807
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.4.1
> Environment: CentOS 6, Python version 2.7.10, Scala version 2-10
> Reporter: Karen Yin-Yee Ng
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> I tried parsing a space-separated file from HDFS.
> And using `pyspark.sqlContext.createDataFrame` to convert the parsed lines to
> a PySpark DataFrame. However, all entries are parsed as string type
> regardless of what the correct data type is.
> An example of my code and output can be found at:
> https://gist.github.com/karenyyng/a1264d6344c54df4fcc5
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