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Posted to dev@zeppelin.apache.org by "Yesha Vora (JIRA)" <ji...@apache.org> on 2017/02/24 16:12:44 UTC

[jira] [Created] (ZEPPELIN-2170) Zeppelin does not show all WARN messages thrown by spark-shell

Yesha Vora created ZEPPELIN-2170:
------------------------------------

             Summary: Zeppelin does not show all WARN messages thrown by spark-shell
                 Key: ZEPPELIN-2170
                 URL: https://issues.apache.org/jira/browse/ZEPPELIN-2170
             Project: Zeppelin
          Issue Type: Bug
            Reporter: Yesha Vora


Scenario:
* Create a CSV file from bug data. 
* Upload this file to HDFS
* Use spark2 interpreter to read the csv file and convert it to dataframe.

Steps to reproduce:
{code}
para1:
%sh
hdfs dfs -rmr -skipTrash  /tmp/jira
hdfs dfs -mkdir /tmp/jira
hdfs dfs -put /tmp/jira/jira.com-2.csv  /tmp/jira
hdfs dfs -ls /tmp/jira

para2:
%spark2
import org.apache.spark.sql.SQLContext

val sqlContext = new SQLContext(sc)
val df = sqlContext.read
    .format("csv")
    .option("header", "true") // Use first line of all files as header
    .option("inferSchema", "true") // Automatically infer data types
    .load("/tmp/jira/jira.com-2.csv")

df.show(){code}

While converting csv file data to dataframe , spark-shell throws below WARN message. 
{code}
scala> val df = sqlContext.read.format("csv").option("header", "true").option("inferSchema", "true").load("/tmp/jira/jira.com-2.csv")
17/02/17 00:09:12 WARN DataSource: Error while looking for metadata directory.
df: org.apache.spark.sql.DataFrame = [Summary: string, Issue key: string ... 24 more fields]{code}

*"WARN DataSource: Error while looking for metadata directory."*  message is not shown in output of zeppelin notebook. This warn message is a key to debug the notebook failure. 
Since zeppelin does not print this message , It becomes hard for an user to debug issue from zeppelin. 

Tried with sc.setLogLevel("DEBUG")  as well. But this message wasn't printed.



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