NoClassDefFoundError com.apache.hadoop.fs.FSDataInputStream when execute spark-shell
The "without Hadoop" in the Spark's build name is misleading: it means the build is not tied to a specific Hadoop distribution, not that it is meant to run without it: the user should indicate where to find Hadoop (see https://spark.apache.org/docs/latest/hadoop-provided.html)
One clean way to fix this issue is to:
- Obtain Hadoop Windows binaries. Ideally build them, but this is painful (for some hints see: Hadoop on Windows Building/ Installation Error). Otherwise Google some up, for instance currently you can download 2.6.0 from here: http://www.barik.net/archive/2015/01/19/172716/
- Create a
spark-env.cmd
file looking like this (modify Hadoop path to match your installation):@echo off set HADOOP_HOME=D:\Utils\hadoop-2.7.1 set PATH=%HADOOP_HOME%\bin;%PATH% set SPARK_DIST_CLASSPATH=<paste here the output of %HADOOP_HOME%\bin\hadoop classpath>
- Put this
spark-env.cmd
either in aconf
folder located at the same level as your Spark base folder (which may look weird), or in a folder indicated by theSPARK_CONF_DIR
environment variable.
I had the same problem, in fact it's mentioned on the Getting started page of Spark how to handle it:
### in conf/spark-env.sh ###
# If 'hadoop' binary is on your PATH
export SPARK_DIST_CLASSPATH=$(hadoop classpath)
# With explicit path to 'hadoop' binary
export SPARK_DIST_CLASSPATH=$(/path/to/hadoop/bin/hadoop classpath)
# Passing a Hadoop configuration directory
export SPARK_DIST_CLASSPATH=$(hadoop --config /path/to/configs classpath)
If you want to use your own hadoop follow one of the 3 options, copy and paste it into spark-env.sh
file :
1- if you have the hadoop on your PATH
2- you want to show hadoop binary explicitly
3- you can also show hadoop configuration folder
http://spark.apache.org/docs/latest/hadoop-provided.html
I too had the issue,
export SPARK_DIST_CLASSPATH=`hadoop classpath`
resolved the issue.