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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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Toc

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

Asynchronous querying

When executing a normal query, the call returns only after the query completes. When you call the execute() method of a session instance to execute a query, the call returns after doing I/O to the cluster, waiting for the cluster to execute query and getting a response from the cluster. Meanwhile, the querying thread is idle and blocked. It can't execute other queries.

Consider the following example where you're trying to load a lot of user data. We could execute the code in a loop thousands of times, but each iteration waits for session.execute() to finish:

public ResultSet insertUserData(/* Some user data) {
PreparedStatement insertUser = ...; // Prepare the statement
BoundStatement bs = ... ; // Bind the statement
return session.execute(bs); // Execute the query
}

A client executes insertUserData() in a loop. While waiting for the method to complete, the client won't execute...

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