By Vijay Parthasarathy
Optimize high-scale info via tuning and troubleshooting utilizing Cassandra
- Install and organize a multi datacenter Cassandra
- Troubleshoot and song Cassandra
- Covers CAP tradeoffs, physical/hardware barriers, and is helping you already know the magic
- Tune your kernel, JVM, to maximise the performance
- Includes defense, tracking metrics, Hadoop configuration, and question tracing
Apache Cassandra is a hugely scalable open resource NoSQL database. Cassandra is ideal for dealing with quite a lot of established, semi-structured, and unstructured info throughout a number of info facilities and the cloud. Cassandra gives you linear scalability and function throughout many commodity servers with out unmarried element of failure.
This ebook starts off via explaining the right way to derive the answer, simple options, and CAP theorem. you'll the right way to set up and configure a Cassandra cluster in addition to song the cluster for functionality. After studying the publication, you have to be capable of comprehend why the approach works in a selected method, and you may even be capable of finding styles (and/or use situations) and anti-patterns which might probably reason functionality degradation. moreover, the publication explains the way to configure Hadoop, vnodes, multi-DC clusters, allowing hint, allowing numerous safety features, and querying information from Cassandra.
Starting with explaining concerning the trade-offs, we steadily know about establishing and configuring excessive functionality clusters. This booklet might help the directors comprehend the method greater by means of knowing a variety of elements in Cassandra’s structure and as a result be extra effective in working the cluster. This publication talks concerning the use circumstances and difficulties, anti-patterns, and power functional options rather than uncooked recommendations. you are going to know about kernel and JVM tuning parameters that may be adjusted to get the utmost use out of procedure resources.
What you'll research from this book
- Explore trade-offs and simple concepts
- Install Cassandra, pick out undefined, and configure the cluster
- Query and insert facts and CQL
- Get to grips with functionality tuning
- Find out approximately Hadoop integration and evolving apps
- Discover anti-patterns and the way to safe your cluster
This publication is a pragmatic, hands-on advisor, taking the reader from the fundamentals of utilizing Cassandra although to the install and the running.
Who this publication is written for
Learning Cassandra for directors is for directors who deal with a wide deployment of Cassandra clusters, and aid engineers who want to set up the tracking instruments and who're additionally in control of ensuring the cluster remains an identical, making sure that the provider is often up and running.
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Extra info for Learning Cassandra for Administrators
Delete operations to a column work a little differently; because SSTables are immutable, Cassandra writes the tombstone to avoid random writes. A tombstone is a special value written to Cassandra instead of removing the data immediately. The tombstone can then be sent to nodes that did not get the initial remove request, and can be removed during GC. Compaction To bound the number of SSTable files that must be consulted on reads and to reclaim the space taken by unused data, Cassandra performs compactions.
He believes in open source and contributes to numerous projects. He leads projects that extend Cassandra and integrate the database with full-text indexing engines, distributed processing frameworks, and analytics engines. He won the InfoWorld's Technology Leadership award in 2013. He has authored the Dzone reference card on Cassandra and was nominated as a DataStax Cassandra MVP in 2012. In the past, Brian has contributed to expert groups within the Java Community Process (JCP), and he has patents in artificial intelligence and context-based discovery.
Key cache Cassandra uses key caches to avoid disk seeks in addition to all other data structures. When a row is looked-up, Cassandra queries multiple SSTables to resolve the row. Caching the key along with an SSTable offset pointer will allow Cassandra to directly go to the location in the file. 2 column indexes are moved into SStable indexes, it is also cached in the key cache. Hence, the reads are exactly one disk seek when cached. Row cache Row caches in Cassandra are not query caches; we try to cache the whole row in memory when a query is executed on a row.
Learning Cassandra for Administrators by Vijay Parthasarathy