Displaying 1 to 6 from 6 results

streamparse - Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.

  •    Python

Streamparse lets you run Python code against real-time streams of data via Apache Storm. With streamparse you can create Storm bolts and spouts in Python without having to write a single line of Java. It also provides handy CLI utilities for managing Storm clusters and projects.The Storm/streamparse combo can be viewed as a more robust alternative to Python worker-and-queue systems, as might be built atop frameworks like Celery and RQ. It offers a way to do "real-time map/reduce style computation" against live streams of data. It can also be a powerful way to scale long-running, highly parallel Python processes in production.

kafka-storm-starter - Code examples that show to integrate Apache Kafka 0

  •    Scala

Code examples that show how to integrate Apache Kafka 0.8+ with Apache Storm 0.9+ and Apache Spark 1.1+ while using Apache Avro as the data serialization format. Take a look at the Kafka Streams code examples at https://github.com/confluentinc/examples.

wirbelsturm - Wirbelsturm is a Vagrant and Puppet based tool to perform 1-click local and remote deployments, with a focus on big data related infrastructure

  •    Shell

Wirbelsturm is a Vagrant and Puppet based tool to perform 1-click local and remote deployments, with a focus on big data related infrastructure. Wirbelsturm's goal is to make tasks such as "I want to deploy a multi-node Storm cluster" simple, easy, and fun.

Storm Crawler - Web crawler SDK based on Apache Storm

  •    Java

StormCrawler is an open source collection of resources for building low-latency, scalable web crawlers on Apache Storm. StormCrawler is a library and collection of resources that developers can leverage to build their own crawlers. The good news is that doing so can be pretty straightforward. Often, all you'll have to do will be to declare StormCrawler as a Maven dependency, write your own Topology class (tip : you can extend ConfigurableTopology), reuse the components provided by the project and maybe write a couple of custom ones for your own secret sauce.




storm-docker - Docker image packaging for Apache Storm

  •    Shell

Apache Storm is a distributed computation framework written predominantly in the Clojure 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. Assuming you have topology.jar in the current directory.