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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

JSON support


JSON is short for JavaScript Object Notation and is a way to store information in an organized, easy-to-access manner. In a nutshell, it gives us a human-readable collection of data that we can access in a really logical manner. It is the most commonly used data format for client/server communication.

Starting with Cassandra 2.2, JSON support was added to the features list of Cassandra. This is an extension of CQL, which makes it easier to work with JSON documents. The SELECT and INSERT statements now include a JSON-focused variant, and two new native functions have been added to convert to and from JSON.

INSERT JSON

The INSERT statement accepts a JSON variant. Suppose we want to insert some JSON data into our user_status_updates_by_datetime table, we can do it in the following way:

INSERT INTO "user_status_updates_by_datetime"
JSON '{"username": "alice", "status_date": "2016-11-24", "status_time":
"13:35:20.123456", "body": "Alice Update 7"}';

Now, if you run the query SELECT ...

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