[jira] [Commented] (SPARK-9807) pyspark.sql.createDataFrame does not infer data type of parsed TSV

["Davies Liu (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-9807?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15261062#comment-15261062 ] 

Davies Liu commented on SPARK-9807:
-----------------------------------

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



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org