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Learning Apache Cassandra

You're reading from   Learning Apache Cassandra Managing fault-tolerant, scalable data with high performance

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Product type Paperback
Published in Apr 2017
Publisher
ISBN-13 9781787127296
Length 360 pages
Edition 2nd Edition
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Author (1):
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Sandeep Yarabarla Sandeep Yarabarla
Author Profile Icon Sandeep Yarabarla
Sandeep Yarabarla
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Table of Contents (15) Chapters Close

Preface 1. Getting Up and Running with Cassandra FREE CHAPTER 2. The First Table 3. Organizing Related Data 4. Beyond Key-Value Lookup 5. Establishing Relationships 6. Denormalizing Data for Maximum Performance 7. Expanding Your Data Model 8. Collections, Tuples, and User-Defined Types 9. Aggregating Time-Series Data 10. How Cassandra Distributes Data 11. Cassandra Multi-Node Cluster 12. Application Development Using the Java Driver 13. Peeking under the Hood 14. Authentication and Authorization

User-defined functions

So far, we have only done simple SELECT operations that are inherently permitted by Cassandra. In the case of complex queries, where we could not fetch results based on just the primary key indexes, we built secondary indexes and materialized views. What if there arises a situation where you are required to perform some custom computations? Fortunately, Cassandra provides custom user-defined functions to perform some simple computations on the data present in Cassandra.

UDFs allow the execution of user code on the server side. The coordinator node takes care of the computation. In Cassandra 3.0 and later, UDFs are executed in a sandbox. You can also use custom security managers to prevent UDFs from accessing the filesystem or to prevent the execution of harmful code. Java and JavaScript are supported by default.

Cassandra UDFs can be written in any language with JSR223 support. The list of...
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