Beginning Apache Cassandra Development by Vivek Mishra

By Vivek Mishra

Starting Apache Cassandra improvement introduces you to 1 of the main powerful and best-performing NoSQL database systems on this planet. Apache Cassandra is a rfile database following the JSON rfile version. it really is in particular designed to control quite a lot of information throughout many commodity servers with no there being any unmarried aspect of failure. This layout method makes Apache Cassandra a powerful and easy-to-implement platform while excessive availability is needed.

Apache Cassandra can be utilized by way of builders in Java, Hypertext Preprocessor, Python, and JavaScript—the basic and most typically used languages. In starting Apache Cassandra improvement, writer and Cassandra specialist Vivek Mishra takes you thru utilizing Apache Cassandra from every one of those basic languages. Mishra additionally covers the Cassandra question Language (CQL), the Apache Cassandra analog to SQL. You'll discover ways to improve purposes sourcing info from Cassandra, question that facts, and convey it at pace on your application's users.

Cassandra is among the major NoSQL databases, that means you get remarkable throughput and function with no this kind of processing overhead that includes conventional proprietary databases. starting Apache Cassandra improvement will hence assist you create functions that generate seek effects quick, withstand excessive degrees of call for, scale as your person base grows, ascertain operational simplicity, and—not least—provide pleasant consumer reviews.

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To summarize, a few points are worth reiterating: • Indexes are stored locally to data node. • Updates to column values are indexes, which is an atomic operation. • Avoid secondary indexes over high cardinality column values. • Too many indexes can kill write performance and should be avoided. Instead try to denormalize the data model, or use composite columns. With data modeling in place, the next question while designing an application with Cassandra that naturally comes to mind is data security.

3 is up and joining the cluster Summary This chapter is an introductory one to cover all generic concepts and Cassandra-specific configurations. For application developers it is really important to understand the essence of replication, data distribution, and most importantly setting this up with Cassandra. Now we are ready for the next challenge: handling big data with Cassandra! In the next chapter we will discuss Cassandra’s storage mechanism and data modeling. With data modeling and understanding Cassandra’s storage architecture it would help us to model the data set, and analyze and look into the best possible approaches available with Cassandra.

Figure 2-15. 0 ■■Note Updates to the data type of clustering keys and indexes are not allowed. CQL3 and Thrift Interoperability Prior to CQL existence, Thrift was the only way to develop an application over Cassandra. CQL3 and Thrift interoperability issues are often discussed within the Cassandra community. Let’s discuss some issues with a simple example: 1. 2. 36 First, let’s create a keyspace and column family using CQL3. com'); Chapter 2 ■ Cassandra Data Modeling 3. Now, connect with Cassandra-cli (the Thrift way) and update the user column family to create indexes over last_name and first_name: update column family user with key_validation_class='UTF8Type' and column_ metadata=[{column_name:last_name, validation_class:'UTF8Type', index_type:KEYS}, {column_name:first_name, validation_class:'UTF8Type', index_type:KEYS}]; ■■Note Chapter 3 will cover indexing in detail.

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