Apache Storm is a distributed
stream processing
In computer science, stream processing (also known as event stream processing, data stream processing, or distributed stream processing) is a programming paradigm which views data streams, or sequences of events in time, as the central input and o ...
computation framework written predominantly in the
Clojure
Clojure (, like ''closure'') is a dynamic and functional dialect of the Lisp programming language on the Java platform. Like other Lisp dialects, Clojure treats code as data and has a Lisp macro system. The current development process is ...
programming language. Originally created by Nathan Marz and team at BackType, the project was open sourced after being acquired by Twitter. It uses custom created "spouts" and "bolts" to define information sources and manipulations to allow batch,
distributed processing of streaming data. The initial release was on 17 September 2011.
A Storm application is designed as a "topology" in the shape of a
directed acyclic graph
In mathematics, particularly graph theory, and computer science, a directed acyclic graph (DAG) is a directed graph with no directed cycles. That is, it consists of vertices and edges (also called ''arcs''), with each edge directed from one v ...
(DAG) with spouts and bolts acting as the graph vertices. Edges on the graph are named streams and direct data from one node to another. Together, the topology acts as a data transformation pipeline. At a superficial level the general topology structure is similar to a
MapReduce
MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel, distributed algorithm on a cluster.
A MapReduce program is composed of a ''map'' procedure, which performs filteri ...
job, with the main difference being that data is processed in real time as opposed to in individual batches. Additionally, Storm topologies run indefinitely until killed, while a MapReduce job DAG must eventually end.
Storm became an Apache Top-Level Project in September 2014 and was previously in
incubation since September 2013.
Development
Apache Storm is developed under the
Apache License, making it available to most companies to use. Git is used for version control and Atlassian JIRA for issue tracking, under the Apache Incubator program.
Apache Storm architecture
The Apache Storm cluster comprises following critical components:
* Nodes- There are two types of nodes: Master Nodes and Worker Nodes. A Master Node executes a daemon Nimbus which assigns tasks to machines and monitors their performances. On the other hand, a Worker Node runs the daemon called Supervisor which assigns the tasks to other worker nodes and operates them as per the need. As Storm cannot monitor the state and health of cluster, it deploys ZooKeeper to solve this issue which connects Nimbus with the Supervisors.
* Components- Storm has three critical components: Topology, Stream, and Spout. Topology is a network made of Stream and Spout. Stream is an unbounded pipeline of tuples and Spout is the source of the data streams which converts the data into the tuple of streams and sends to the bolts to be processed.
Peer platforms
Storm is but one of dozens of stream processing engines, for a more complete list see
Stream processing
In computer science, stream processing (also known as event stream processing, data stream processing, or distributed stream processing) is a programming paradigm which views data streams, or sequences of events in time, as the central input and o ...
. Twitter announced
Heron
The herons are long-legged, long-necked, freshwater and coastal birds in the family Ardeidae, with 72 recognised species, some of which are referred to as egrets or bitterns rather than herons. Members of the genera ''Botaurus'' and ''Ixobrychu ...
on June 2, 2015 which is API compatible with Storm. There are other comparable streaming data engines such as
Spark Streaming and
Flink.
See also
*
C++ AMP
C, or c, is the third letter in the Latin alphabet, used in the modern English alphabet, the alphabets of other western European languages and others worldwide. Its name in English is ''cee'' (pronounced ), plural ''cees''.
History
"C" ...
*
Data parallelism
Data parallelism is parallelization across multiple processors in parallel computing environments. It focuses on distributing the data across different nodes, which operate on the data in parallel. It can be applied on regular data structures lik ...
*
Lambda architecture
*
Message passing
In computer science, message passing is a technique for invoking behavior (i.e., running a program) on a computer. The invoking program sends a message to a process (which may be an actor or object) and relies on that process and its supporti ...
*
OpenMP
OpenMP (Open Multi-Processing) is an application programming interface (API) that supports multi-platform shared-memory multiprocessing programming in C, C++, and Fortran, on many platforms, instruction-set architectures and operating sy ...
*
OpenCL
OpenCL (Open Computing Language) is a framework for writing programs that execute across heterogeneous platforms consisting of central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), field-prog ...
*
OpenHMPP
*
Parallel computing
*
TPL
*
Thread (computing)
In computer science, a thread of execution is the smallest sequence of programmed instructions that can be managed independently by a scheduler, which is typically a part of the operating system. The implementation of threads and processes di ...
References
External links
Project Homepage
{{Parallel computing
Distributed computing architecture
Parallel computing
Cloud applications
Cloud infrastructure
Storm
A storm is any disturbed state of the natural environment or the atmosphere of an astronomical body. It may be marked by significant disruptions to normal conditions such as strong wind, tornadoes, hail, thunder and lightning (a thunderstorm), ...
Software using the Apache license
Java platform
Distributed stream processing