title: Is it possible to resume a failed Apache Spark job?
body: <p>I am trying to run a Spark job over data from multiple Cassandra tables which are grouped as part of the job. I am trying to get an end to end run with a huge data set 13m data points and it has failed over multiple points. As I fix those failures and move ahead, I encounter the next problem which I fix and restart the job again. Is there a way to speed up the testing cycle on real data so that I can <strong>restart/resume</strong> a previously failed job from a specific checkpoint?</p>