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Basically, Master node also perform as a one of the slave. Once slave on master completed it called the SparkContext to stop and hence this command propagate to all the slaves which stop the execution in mid of the processing.
Error log in one of the worker:
INFO SparkHadoopMapRedUtil: attempt_201612061001_0008_m_000005_18112: Committed
INFO Executor: Finished task 5.0 in stage 8.0 (TID 18112). 2536 bytes result sent to driver
INFO CoarseGrainedExecutorBackend: Driver commanded a shutdown
ERROR CoarseGrainedExecutorBackend: RECEIVED SIGNAL TERMtdown
Check your resource manager user interface, in case you see any executor failed - it details about memory error. However if executor has not failed but still driver called for shut down - usually this is due to driver memory, please try to increase driver memory. Let me know how it goes.