By Aaron Cordova, Billie Rinaldi, Michael Wall
Wake up to hurry on Apache Accumulo, the versatile, high-performance key/value shop created via the nationwide defense business enterprise (NSA) and in accordance with Google’s BigTable facts garage approach. Written through former NSA staff contributors, this finished educational and reference covers Accumulo structure, program improvement, desk layout, and cell-level security.
With transparent details on approach management, functionality tuning, and top practices, this e-book is perfect for builders trying to write Accumulo functions, directors charged with fitting and retaining Accumulo, and different execs drawn to what Accumulo has to supply. you can find every thing you should use the program fully.
Get a high-level creation to Accumulo’s structure and information model
Take a swift travel via unmarried- and multiple-node installations, facts ingest, and query
how to write Accumulo functions for a number of use instances, according to examples
Dive into Accumulo internals, together with info no longer on hand within the documentation
Get specified info for fitting, administering, tuning, and measuring performance
study top practices in line with winning implementations within the field
locate solutions to universal questions that each new Accumulo consumer asks
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Additional info for Accumulo: Application Development, Table Design, and Best Practices
Accumulo stores its data in HDFS and can be used as the source of data for a MapReduce job or as the destination of the output from a MapReduce job. MapReduce jobs can either read from tablet servers using the Accu‐ mulo client library, or from the underlying files in which Accumulo stores data via the use of specific MapReduce input and output formats. In either case, Accumulo supports the type of data locality that MapReduce jobs require, allowing MapReduce workers to read data that is stored locally rather than having to read it all from remote machines over the network.
The timestamp element of the key adds a new dimension to the well-known twodimensional row-column model, and this allows data under a particular row-column pair to have more than one version (Figure 1-10). By default, Accumulo keeps only the newest version of a row-column pair, but it can be configured to store a specific number of versions, versions newer than a certain date, or all versions ever written. Figure 1-10. A table consisting of rows and columns with multiple versions Data Model | 17 The set of key-value pairs on disk appears as in Figure 1-11.
At the very least, you can choose to use only the row ID and value portions of the key-value pair. In this case Accumulo will oper‐ ate like a simple key-value store. Many applications start with rows and columns, and apply the use of additional components as designs are optimized. Developers should consider carefully the components of the key that their application requires when designing tables. Tables When stored in Accumulo, key-value pairs are grouped into tables. You can apply some settings at the table level to control the behavior and management of the data.
Accumulo: Application Development, Table Design, and Best Practices by Aaron Cordova, Billie Rinaldi, Michael Wall