Spark Streaming Job Keeps growing memory over time

Hi, I am running spark v 1.6.1 on a single machine in standalone mode, having 64GB RAM and 16cores. I have created five worker instances to create five executor as in standalone mode, there cannot be more than one executor in one worker node. *Configuration*: SPARK_WORKER_INSTANCES 5 SPARK_WORK

Memory grows exponentially

Hello everyone: I have been facing a problem associated spark streaming memory. I have been running two Spark Streaming jobs concurrently. The jobs read data from Kafka with a batch interval of 1 minute, performs aggregation, and sinks the computed data to MongoDB using using stratio-mongodb conn