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Learning Real-time Analytics with Storm and Cassandra

You're reading from   Learning Real-time Analytics with Storm and Cassandra Solve real-time analytics problems effectively using Storm and Cassandra

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781784395490
Length 220 pages
Edition 1st Edition
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Author (1):
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Shilpi Saxena Shilpi Saxena
Author Profile Icon Shilpi Saxena
Shilpi Saxena
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Table of Contents (14) Chapters Close

Preface 1. Let's Understand Storm FREE CHAPTER 2. Getting Started with Your First Topology 3. Understanding Storm Internals by Examples 4. Storm in a Clustered Mode 5. Storm High Availability and Failover 6. Adding NoSQL Persistence to Storm 7. Cassandra Partitioning, High Availability, and Consistency 8. Cassandra Management and Maintenance 9. Storm Management and Maintenance 10. Advance Concepts in Storm 11. Distributed Cache and CEP with Storm A. Quiz Answers Index

Introduction to CQLSH


Now that we are through with the Cassandra setup, let's get acquainted with the shell and a few basic commands:

  1. Run CQL at /usr/local/Cassandra/apache-cassandra-1.1.6 using bin/cqlsh with a host and port:

    bin/cqlsh  –host <ip-adress> -p <port number>
    
  2. Create a keyspace either at the Cassandra client or at CQL, as follows:

    create keyspace <keyspace_name>; 
    
  3. Create a column family at the Cassandra client or at CQL as follows:

    use <keyspace_name>;
    create column family <columnfamily name>;
    

    For example, create the following table:

    CREATE TABLE appUSers (
      user_name varchar,
      Dept varchar,
      email varchar,
      PRIMARY KEY (user_name));
    
  4. Insert a few records into the column family from the command line:

    INSERT INTO appUSers (user_name, Dept, email)
      VALUES ('shilpi', 'bigdata, 'shilpisaxena@yahoo.com');
    
  5. Retrieve the data from the column family:

    SELECT * FROM appUSers LIMIT 10;
    
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