What does Apache Storm do?

What does Apache Storm do?

Apache Storm is a distributed, fault-tolerant, open-source computation system. You can use Storm to process streams of data in real time with Apache Hadoop. Storm solutions can also provide guaranteed processing of data, with the ability to replay data that wasn’t successfully processed the first time.

Why Apache storm is fast?

Apache Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate. Apache Storm integrates with the queueing and database technologies you already use.

What is spout in Apache Storm?

There are just three abstractions in Apache Storm: spouts, bolts, and topologies. A spout is a source of streams in a computation. Typically a spout reads from a queueing broker such as Kestrel, RabbitMQ, or Kafka, but a spout can also generate its own stream or read from somewhere like the Twitter streaming API.

What happens when Nimbus goes down?

If you lose the Nimbus node, the workers will still continue to function. Additionally, supervisors will continue to restart workers if they die. However, without Nimbus, workers won’t be reassigned to other machines when necessary (like if you lose a worker machine). So the answer is that Nimbus is “sort of” a SPOF.

What is a topology in Storm?

A topology is a graph of stream transformations where each node is a spout or bolt. Each node in a Storm topology executes in parallel. In your topology, you can specify how much parallelism you want for each node, and then Storm will spawn that number of threads across the cluster to do the execution.

What is tuple in Storm?

The tuple is the main data structure in Storm. A tuple is a named list of values, where each value can be any type. Tuples are dynamically typed – the types of the fields do not need to be declared. By default, Storm knows how to serialize the primitive types, strings, and byte arrays.

Which is better storm or spark?

Apache Storm is an excellent solution for real-time stream processing but can prove to be complex for developers. Similarly, Apache Spark can help with multiple processing problems, such as batch processing, stream processing, and iterative processing, but there are issues with high latency.

Does Apache Storm need ZooKeeper?

Whether it’s a single machine or cluster, Zookeeper is necessary. Usually in local mode Storm uses internal zookeeper.