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Prior to Spark 2.0, we needed another library from Google called Guava for facilitating I/O and for providing a set of rich methods of defining tables and then letting Spark broadcast them across the cluster. Due to dependency issues that were hard to work around, Spark 2.0 no longer uses the Guava library. Make sure you use the Guava library if you are using Spark versions prior to 2.0 (required in version 1.5.2). The Guava library can be accessed at the following URL:

https://github.com/google/guava/wiki

You may want to use Guava version 15.0, which can be found here:

https://mvnrepository.com/artifact/com.google.guava/guava/15.0

If you are using installation instructions from previous blogs, make sure to exclude the Guava library from the installation set.