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Posted to dev@zeppelin.apache.org by "Mathew (JIRA)" <ji...@apache.org> on 2018/05/15 21:51:00 UTC

[jira] [Created] (ZEPPELIN-3462) DataFrames with tabs get corrupted in SQL interpreter.

Mathew created ZEPPELIN-3462:
--------------------------------

             Summary: DataFrames with tabs get corrupted in SQL interpreter.
                 Key: ZEPPELIN-3462
                 URL: https://issues.apache.org/jira/browse/ZEPPELIN-3462
             Project: Zeppelin
          Issue Type: Bug
          Components: Interpreters
    Affects Versions: 0.7.3
            Reporter: Mathew
             Fix For: 0.8.0
         Attachments: image-2018-05-16-09-49-44-647.png

If there is a tab in a dataframe, the SQL interpreter will interpret this as a new column, causing the table display to chomp of some of the following columns. 

 

*Steps to Reproduce:*

Create dataframe with tab:
{code:java}
%spark.pyspark
from pyspark.sql import Row

# Create dataframe with 3 cols
df = sc.parallelize([
Row(u'First col, \u0009 still first col.', 'Second col', 'Third col')
]
).toDF()

# Display table
df.show()

# Register table for SQL
df.registerTempTable("df"){code}
 

Query in SQL interpreter:
{code:java}
%sql
SELECT * FROM df
{code}
Output:

!image-2018-05-16-09-49-44-647.png!

 

 

 



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