Learning Apache Cassandra by Mat Brown

By Mat Brown

Key Features
Learn tips to set up and use Cassandra from the floor up
Design wealthy schemas that trap the relationships among assorted information forms utilizing compound basic keys
Master the complex gains on hand in Cassandra 2.0 via a step by step instructional that builds a real-world application's database layer.
Book Description
Cassandra is a disbursed database that stands proud for its strong function set and intuitive interface, whereas nonetheless supplying the excessive availability and scalability of a disbursed store.
Starting from fitting Cassandra and developing your first keyspace, to learning the various desk buildings Cassandra deals and exploring the newest and strongest good points of the Cassandra question Language, CQL3, this booklet explores each one subject in the course of the lens of a real-world instance software. With lots of examples, tips, and transparent causes, you'll grasp compound fundamental keys, assortment columns, light-weight transactions, and plenty of different complex elements of Cassandra.
By the tip of the booklet, you'll be totally outfitted to construct robust, scalable Cassandra database layers in your applications.
What you are going to learn
Install Cassandra and create your first keyspace
Choose the appropriate desk constitution for the duty to hand in a number of scenarios
Use variety slice queries for effective information access
Effortlessly deal with concurrent updates with assortment columns
Ensure info integrity with light-weight transactions and logged batches
Understand eventual consistency and use the precise consistency point on your situation
Implement most sensible practices for facts modeling and access
About the Author
Mat Brown is a qualified software program engineer in Brooklyn, ny. In his occupation, he has thinking about development consumer-facing net and cellular purposes for numerous businesses; he at present works at Genius.
Table of Contents
Getting up and working with Cassandra
The First Table
Organizing comparable Data
Beyond Key-value Lookup
Establishing Relationships
Denormalizing facts for optimum Performance
Expanding Your information Model
Collections, Tuples, and User-defined Types
Aggregating Time-series Data
How Cassandra Distributes facts

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So kann man physisch verteilten Speicher per Software durchaus als einen Speicher mit globalem Adressraum behandeln. F¨ur den Anwendungsprogrammierer stellt sich ein solcher Rechner als shared memory System dar, allerdings h¨angt Zugriffsgeschwindigkeit auf den Speicher dann von der Speicheradresse ab. Das nennt man NUMA f u¨ r non uniform memory access. Mehr zur Architektur von Parallelrechnern finden Sie in [139, 170]. 4 Beowulf. Beowulf [9] ist ein altenglisches Heldengedicht, das fru¨ heste erhaltene germanische Buchepos.

Zur Robustheit geho¨ rt auch, dass die ClientSoftware ein vorzeitiges Abschalten des Rechners u¨ berlebt“ und nach dem Ein” schalten dort weitermacht, wo sie unterbrochen wurde. Attraktivit¨at. Die Client-Software st¨ort den normalen Rechnerbetrieb nicht. Auf Unix-Maschinen l¨auft sie mit niedriger Priorit¨at im Hintergrund, f¨ur Windows Rechner ist eine Bildschirmschoner-Variante erh¨altlich. Unterst¨utzer m¨ussen allerdings sowohl Zeit (Installation) als auch Geld (Online-Kosten) investieren.

Diese Frage ist nicht seri¨os zu beantworten, da das Internet nicht zentral verwaltet wird und sich eine Menge Rechner nur tempor¨ar in das Internet einw¨ahlen. Der Antwort am n¨achsten kommt der Internet Domain Survey, der regelm¨assig die Gesamtzahl der Eintr¨age im weltweiten Domain Name Service (DNS) ermittelt, siehe [74]. Da nicht jeder Internet-Rechner einen DNS-Eintrag hat und hinter einem DNS-Eintrag viele Rechner stecken k¨onnen, liefert diese Z¨ahlung zumindest eine untere Schranke. Der Internet Domain Survey vom Januar 2005 ergab 317 646 084 DNS Eintr¨age.

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