title: HiBench Benchmar suite error: INPUT_HDFS: unbound variable
body: <p>I have installed Hadoop 2.7.1 on Ubuntu Virtual Machine. I want to execute Kmeans algorithm with HiBench, but when I execute the script prepare.sh, I have the following error:</p>
  
  <pre><code>patching args=
  Parsing conf: /home/hduser/HiBench/conf/00-default-properties.conf
  Parsing conf: /home/hduser/HiBench/conf/01-default-streamingbench.conf
  Parsing conf: /home/hduser/HiBench/conf/10-data-scale-profile.conf
  Parsing conf: /home/hduser/HiBench/conf/20-samza-common.conf
  Parsing conf: /home/hduser/HiBench/conf/30-samza-workloads.conf
  Parsing conf: /home/hduser/HiBench/workloads/kmeans/conf/00-kmeans-default.conf
  Parsing conf: /home/hduser/HiBench/workloads/kmeans/conf/10-kmeans-userdefine.conf
  Probing spark verison, may last long at first time...
  probe sleep jar: /usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.2-tests.jar
  Traceback (most recent call last):
  File "/home/hduser/HiBench/bin/functions/load-config.py", line 556, in &lt;module&gt;
  load_config(conf_root, workload_root, workload_folder, patching_config)
  File "/home/hduser/HiBench/bin/functions/load-config.py", line 165, in load_config
  check_config()
  File "/home/hduser/HiBench/bin/functions/load-config.py", line 172, in check_config
  assert HibenchConf.get(prop_name, None) is not None, "Mandatory configure missing: %s" % prop_name
  AssertionError: Mandatory configure missing: hibench.hdfs.master
  /home/hduser/HiBench/bin/functions/workload-functions.sh: line 39: .: filename argument required
  .: usage: . filename [arguments]
  start HadoopPrepareKmeans bench ./prepare.sh: line 25: INPUT_HDFS: unbound variable
  </code></pre>
  
  <p>I have set the configurations on the file <code>99-user_defined_properties.conf.template</code>. The configurations are :</p>
  
  <pre><code># Hadoop home
  hibench.hadoop.home     /usr/local/hadoop/bin
  
  # Spark home
  hibench.spark.home      /PATH/TO/YOUR/SPARK/ROOT
  
  # HDFS master, set according to hdfs-site.xml
  hibench.hdfs.master     hdfs://localhost:54310
  
  # Spark master
  #   standalone mode: `spark://xxx:7077`
  #   YARN mode: `yarn-client`
  #   unset: fallback to `local[1]`
  hibench.spark.master        yarn-client
  </code></pre>
  
  <p>How can I solver this?</p>