Clustering event processing engines

1. A method for managing Continuous Query Language (CQL) engines, comprising:

determining, using a CQL engine tracking engine, a total number of CQL engines to launch in a cluster;

receiving, using the CQL engine tracking engine, a list of executors for executing the cluster;

scheduling, using a first scheduler associated with the CQL engine tracking engine, each CQL engine with one of the list of executors, the scheduling comprising assigning, by the first scheduler, an executor from the list of executors to execute a first CQL engine in the cluster based at least in part on executor information comprising an executor host and an executor identifier associated with the executor;

launching, using a second scheduler associated with the CQL engine tracking engine, the first CQL engine as a long running task for execution by the executor, the long running task comprising a task that returns only upon a crash or fault of executing the first CQL engine in the cluster;

scheduling, using the first scheduler of the CQL engine tracking engine, the first CQL engine to process a partition of a CQL Resilient Distributed Dataset (RDD) associated with a batch of a continuous stream of input events related to an application;

determining, by the first scheduler of the CQL engine tracking engine, location information associated with the CQL Resilient Distributed Dataset (RDD) the location information comprising a partition identifier and a query identifier associated with the partition of the CQL RDD;

mapping, by the first scheduler of the CQL engine tracking engine, the location information to the executor assigned to execute the first CQL engine;

tracking, using the CQL engine tracking engine, the first CQL engine to be scheduled for execution; and

executing, using the CQL engine tracking engine, the first CQL engine to process the partition of the CQL RDD associated with the batch of the continuous stream of input events to generate a set of output events related to the application.

2. The method of claim 1 , wherein a state of the first CQL engine comprises at least one of an inactive state, a scheduled state, or an active state.

3. The method of claim 1 , wherein the first CQL engine is one of the CQL engines in the cluster.

4. The method of claim 1 , wherein the CQL engine tracking engine is implemented by a driver and the first CQL engine is implemented by an executor in the list of executors.

5. A system, comprising:

a memory configured to store computer-executable instructions; and

a processor configured to access the memory and execute the computer-executable instructions to:

determine, using a Continuous Query Language (CQL) engine tracking engine, a total number of CQL engines to launch in a cluster;

receive, using the CQL engine tracking engine, a list of executors for executing the cluster;

schedule, using a first scheduler associated with the CQL engine tracking engine, each CQL engine with one of the list of executors, the instructions to schedule comprising instructions to assign, by the first scheduler, an executor from the list of executors to execute a first CQL engine in the cluster based at least in part on executor information comprising an executor host and an executor identifier associated with the executor;

launch, using a second scheduler associated with the CQL engine tracking engine, the first CQL engine as a long running task for execution by the executor, the long running task comprising a task that returns only upon a crash or fault of executing the first CQL engine in the cluster;

schedule, using the first scheduler of the CQL engine tracking engine, the first CQL engine to process a partition of a CQL Resilient Distributed Dataset (RDD associated with a batch of a continuous stream of input events related to an application;

determine, by the first scheduler of the CQL engine tracking engine, location information associated with the CQL Resilient Distributed Dataset (RDD), the location information comprising a partition identifier and a query identifier associated with the partition of the CQL RDD;

map, by the first scheduler of the CQL engine tracking engine, the location information to the executor assigned to execute the first CQL engine;

track, using the CQL engine tracking engine, the first CQL engine to be scheduled for execution; and

execute, using the CQL engine tracking engine, the first CQL engine to process the partition of the CQL RDD associated with the batch of the continuous stream of input events to generate a set of output events related to the application.

6. The system of claim 5 , wherein a state of the first CQL engine comprises at least one of an inactive state, a scheduled state, or an active state.

7. The system of claim 5 , wherein the first CQL engine is one of the CQL engines in the cluster.

8. The system of claim 5 , wherein the CQL engine tracking engine is implemented by a driver and the first CQL engine is implemented by an executor in the list of executors.

9. A non-transitory computer-readable medium storing computer-executable code that, when executed by a processor, cause the processor to perform operations comprising:

determining, using a Continuous Query Language (CQL) engine tracking engine, a total number of CQL engines to launch in a cluster;

receiving, using the CQL engine tracking engine, a list of executors for executing the cluster;

scheduling, using a first scheduler associated with the CQL engine tracking engine, each CQL engine with one of the list of executors, the scheduling comprising assigning, by the first scheduler, an executor from the list of executors to execute a first CQL engine in the cluster based at least in part on executor information comprising an executor host and an executor identifier associated with the executor;

launching, using a second scheduler associated with the CQL engine tracking engine, the first CQL engine as a long running task for execution by the executor, the long running task comprising a task that returns only upon a crash or fault of executing the first CQL engine in the cluster;

scheduling, using the first scheduler of the CQL engine tracking engine, the first CQL engine to process a partition of a CQL Resilient Distributed Dataset (RDD associated with a batch of a continuous stream of input events related to an application;

determining, by the first scheduler of the CQL engine tracking engine, location information associated with the CQL Resilient Distributed Dataset (RDD) the location information comprising a partition identifier and a query identifier associated with the partition of the CQL RDD;

mapping, by the first scheduler of the CQL engine tracking engine, the location information to the executor assigned to execute the first CQL engine;

tracking, using the CQL engine tracking engine, the first CQL engine to be scheduled for execution; and

executing, using the CQL engine tracking engine, the first CQL engine to process the partition of the CQL RDD associated with the batch of the continuous stream of input events to generate a set of output events related to the application.

10. The non-transitory computer-readable medium of claim 9 , wherein a state of the first CQL engine comprises at least one of an inactive state, a scheduled state, or an active state.

11. The non-transitory computer-readable medium of claim 9 , wherein the CQL engine tracking engine is implemented by a driver and the first CQL engine is implemented by an executor in the list of executors.