GitHub user WeichenXu123 opened a pull request:

    https://github.com/apache/spark/pull/12987

    [spark-15212][SQL]CSV file reader when read file with first line schema do 
not filter blank in schema column name

    ## What changes were proposed in this pull request?
    
    When load csv file with schema, add schema column name string trim to avoid 
blank problem.
    
    ## How was this patch tested?
    
    construct csv data file contains schema definition with column blank such 
as:
    
    csv data file contains:
    ----------------------------------------------------------
    col1, col2,col3,col4,col5
    1997,Ford,E350,"ac, abs, moon",3000.00
    ....
    ------------------------------------------------------------
    notice there is a blank before col2,
    test command:
    val sqlContext = new org.apache.spark.sql.SQLContext(sc);
    var reader = sqlContext.read
    reader.option("header", true)
    var df = reader.csv("path/to/csvfile")
    df.select("col2");//check if OK
    df.registerTempTable("tab1");
    sqlContext.sql("select col2 from tab1"); //check if OK.
    
    


You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/WeichenXu123/spark bugfix-15212

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/spark/pull/12987.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #12987
    
----
commit 56cc34f37c712d172df6fbc27b2823a571160cda
Author: WeichenXu <weichenxu...@outlook.com>
Date:   2016-05-08T12:52:09Z

    fix bug: spark-15212

----


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