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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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