By Sanjay Sharma
Cassandra is a robust information shop resolution within the open resource NoSQL international. the power to exploit its gigantic features safely is the necessity of the hour as extra builders commence utilizing this robust device. as a result, it turns into very important with the intention to know how and the place to use Cassandra correctly.
This functional advisor can assist you know the strengths and weaknesses of Cassandra and train you to the way to establish enterprise and technical use instances that Cassandra solves.You also will how you can remedy actual global company difficulties and aid you use Cassandra within the absolute best way.
Starting with the origins of Cassandra, this publication will delve into how Cassandra solves the conventional titanic data’s quantity, style and pace difficulties. you are going to then realize use circumstances and layout styles that each architect and developer faces while designing new suggestions, and know how to take advantage of Cassandra to unravel those challenges,as good as the best way to stay away from universal errors and utilizing Cassandra incorrectly.
The ebook makes use of layout techniques and code samples so that it will assist you comprehend the nuances of the use case and layout styles. ultimately, after studying in regards to the layout styles for use in Cassandra, you'll increase an knowing of the way Cassandra can be utilized along with different best options to unravel advanced genuine global difficulties.
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Extra info for Cassandra Design Patterns
This pattern solves the problem of aggregate functions being difficult to implement in Cassandra. For example, Apache Storm is an open source popular streaming solution that can be easily used in conjunction with Cassandra to provide an implementation of the reference architecture involving a streaming engine with a real-time engine. Some of the characteristics of such a solution are as follows: • Storm can run across multiple machines as a distributed grid engine for streaming analytics • It can be scaled linearly by adding more machines in a way similar to Cassandra • It is easy to integrate with other solutions such as Esper, which is an open source SQL supporting the CEP engine • It easily integrates with Cassandra Storm-Cassandra is a standard bolt available in open source and offers an easy implementation for integration with Cassandra.
Similarly, there is no support for GROUP BY and should therefore be taken care of in the schema designing phase. Cassandra also does not have direct support for sorting; hence, it is important to model the column design carefully to take care of sorting in query results. CQL does have ORDER BY support, but it has lots of restrictions; for example, it is supported only on a single column and this single column has to be the second column in a composite primary key. [ 25 ] 3V Patterns • Deployment across multiple machines: Cassandra is designed for deployment across multiple machines and provides the best performance in more than three nodes.
Also, we would not use an index to query a huge volume of records for a small number of results, because if we create an index on a high-cardinality column having many distinct values, a query between the fields will incur many seeks for very few results. In these cases, it might be more efficient to manually maintain the table in the form of an index instead of using secondary indexes. For columns containing unique data, we might decide to use an index for convenience, as long as the query volume to the table having an indexed column is moderate and not under constant load.
Cassandra Design Patterns by Sanjay Sharma