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You're reading from  Mastering DynamoDB

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Published inAug 2014
PublisherPackt
ISBN-139781783551958
Edition1st Edition
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Tanmay Deshpande
Tanmay Deshpande
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Tanmay Deshpande

Tanmay Deshpande is a Hadoop and big data evangelist. He currently works with Schlumberger as a Big Data Architect in Pune, India. He has interest in a wide range of technologies, such as Hadoop, Hive, Pig, NoSQL databases, Mahout, Sqoop, Java, cloud computing, and so on. He has vast experience in application development in various domains, such as oil and gas, finance, telecom, manufacturing, security, and retail. He enjoys solving machine-learning problems and spends his time reading anything that he can get his hands on. He has great interest in open source technologies and has been promoting them through his talks. Before Schlumberger, he worked with Symantec, Lumiata, and Infosys. Through his innovative thinking and dynamic leadership, he has successfully completed various projects. He regularly blogs on his website http://hadooptutorials.co.in. You can connect with him on LinkedIn at https://www.linkedin.com/in/deshpandetanmay/. He has also authored Mastering DynamoDB, published in August 2014, DynamoDB Cookbook, published in September 2015, Hadoop Real World Solutions Cookbook-Second Edition, published in March 2016, Hadoop: Data Processing and Modelling, published in August, 2016, and Hadoop Blueprints, published in September 2016, all by Packt Publishing.
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Local secondary indexes best practices


We have seen what local secondary indexes mean in Chapter 2, Data Models. Just to revise, they are secondary indexes that you can define on certain attributes, and which can be used as another range key along with your table hash key. As we have seen, since DynamoDB needs to maintain a complete separate index for these indexes, we have to allocate more resources to it, which makes it a costly affair. So, it is very important to decide on the attribute on which you wish to define the secondary index. It is recommended that the attribute you are not going to query much should not be defined as local secondary index. Indexing should be done for the tables that do not get heavy writes as maintaining those indexes is quite costly.

Indexes should be put on tables that contains sparse data, and which are infrequently updated. It has been observed that the smaller the index, the better the performance. A secondary index consists of an index plus projected attributes...

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Mastering DynamoDB
Published in: Aug 2014Publisher: PacktISBN-13: 9781783551958

Author (1)

author image
Tanmay Deshpande

Tanmay Deshpande is a Hadoop and big data evangelist. He currently works with Schlumberger as a Big Data Architect in Pune, India. He has interest in a wide range of technologies, such as Hadoop, Hive, Pig, NoSQL databases, Mahout, Sqoop, Java, cloud computing, and so on. He has vast experience in application development in various domains, such as oil and gas, finance, telecom, manufacturing, security, and retail. He enjoys solving machine-learning problems and spends his time reading anything that he can get his hands on. He has great interest in open source technologies and has been promoting them through his talks. Before Schlumberger, he worked with Symantec, Lumiata, and Infosys. Through his innovative thinking and dynamic leadership, he has successfully completed various projects. He regularly blogs on his website http://hadooptutorials.co.in. You can connect with him on LinkedIn at https://www.linkedin.com/in/deshpandetanmay/. He has also authored Mastering DynamoDB, published in August 2014, DynamoDB Cookbook, published in September 2015, Hadoop Real World Solutions Cookbook-Second Edition, published in March 2016, Hadoop: Data Processing and Modelling, published in August, 2016, and Hadoop Blueprints, published in September 2016, all by Packt Publishing.
Read more about Tanmay Deshpande