By Nishant Garg
A functional advisor to knowing the seamless power of storing and coping with high-volume, high-velocity info fast and painlessly with HBase
About This Book
- Learn how one can use HBase successfully to shop and deal with unending quantities of data
- Discover the intricacies of HBase internals, schema designing, and lines like information scanning and filtration
- Optimize your titanic info administration and BI utilizing functional implementations
Who This ebook Is For
This ebook is meant for builders and massive information engineers who need to know all approximately HBase at a hands-on point. For in-depth knowing, it'd be worthwhile to have a little familiarity with HDFS and MapReduce programming thoughts without past adventure with HBase or related applied sciences. This ebook is additionally for large info lovers and database builders who've labored with different NoSQL databases and now are looking to discover HBase as one other futuristic, scalable database resolution within the gigantic information space.
What you are going to Learn
- Realize the necessity for HBase
- Download and organize HBase cluster
- Grasp information modeling innovations in HBase and the way to accomplish CRUD operations on data
- Perform powerful facts scanning and information filtration in HBase
- Understand facts garage and replication in HBase
- Explore HBase counters, coprocessors, and MapReduce integration
- Get accustomed to diversified consumers of HBase reminiscent of relaxation and Kundera ORM
- Learn approximately cluster administration and function tuning in HBase
In Detail
With an example-oriented method, this e-book starts off by means of supplying you with a step by step studying approach to without problems manage HBase clusters and layout schemas. steadily, you'll be taken via complicated facts modeling innovations and the intricacies of the HBase structure. additionally, additionally, you will get familiar with the HBase purchaser API and HBase shell. basically, this ebook goals to supply you with an outstanding grounding within the NoSQL columnar database area and in addition is helping you're taking good thing about the genuine energy of HBase utilizing facts scans, filters, and the MapReduce framework. most significantly, the publication additionally will give you functional use situations protecting a number of HBase consumers, HBase cluster management, and function tuning.
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Extra info for HBase Essentials
Sample text
HBase also offers advanced Javabased APIs for playing with tables and column families. ) This API also supports metadata management, for example, data compression for column family, region split, and so on. In addition to schema definition, the API also provides an interface for a table scan with various functions such as limiting the number of columns returned or limiting the number of versions of each cell to be stored. For data manipulation, the Hbase API supports create, read, update, and delete operations on individual rows.
GetTable("Costumers"); CRUD operations A rowkey primarily represents each row uniquely in the HBase table, whereas other keys such as column family, timestamp, and so on are used to locate a piece of data in an HBase table. The HBase API provides the following methods to support the CRUD operations: • Put • Get • Delete • Scan • Increment Let's discuss the first three methods in detail and the rest will be covered in the coming chapters. [ 28 ] Chapter 2 Writing data In HBase, when a write request is received, by default, the data is synchronously written into HLog, also referred to as the write ahead log or commit log and to the memstore.
That is, deleteColumn(…) deletes the specific version based on parameters, and deleteColumns(…) deletes all the versions for a specified cell. Similarly, the data reading process reads the version of data based on the parameter values provided. Summary In this chapter, we learned the basics of modeling data and some strategies to consider when designing a table in HBase. We also learned how to perform basic CRUD operations on the table created using various APIs provided by HBase. In the next chapter, we will look into HBase table keys, table scan, and some other advanced features such as filters.