By Aaron Cordova, Billie Rinaldi, Michael Wall
Wake up to hurry on Apache Accumulo, the versatile, high-performance key/value shop created through the nationwide safeguard business enterprise (NSA) and according to Google’s BigTable information garage procedure. Written by means of former NSA workforce participants, this complete educational and reference covers Accumulo structure, program improvement, desk layout, and cell-level security.
With transparent info on method management, functionality tuning, and top practices, this e-book is perfect for builders looking to write Accumulo purposes, directors charged with fitting and preserving Accumulo, and different pros attracted to what Accumulo has to supply. you can find every thing you can use the program fully.
Get a high-level advent to Accumulo’s structure and information model
Take a swift journey via unmarried- and multiple-node installations, information ingest, and query
the right way to write Accumulo functions for numerous use instances, according to examples
Dive into Accumulo internals, together with info now not to be had within the documentation
Get distinct info for fitting, administering, tuning, and measuring performance
examine top practices in keeping with winning implementations within the field
locate solutions to universal questions that each new Accumulo person asks
Read Online or Download Accumulo: Application Development, Table Design, and Best Practices PDF
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Additional info for Accumulo: Application Development, Table Design, and Best Practices
This includes aging off data older than a certain amount of time from now, or simply aging off data older than a specific date. Timestamps can also be used to distinguish among two or more versions of otherwise identical keys. The built-in VersioningIterator can be configured to allow any number of versions, or only a specific number of versions, to be stored. Google’s orig‐ inal Bigtable paper describes using timestamps to distinguish among various versions of the Web as it was crawled and stored from time to time.
One advantage of eventually consistent systems is that a single instance of the database can run over geographically disparate data centers, and writes to some servers can continue even if those servers cannot communicate with all of the other servers participating in the cluster. An Accumulo instance is designed to be deployed within a single data center and to provide a highly consistent view of the data. One advantage of high consistency is that application logic can be simplified. Automatic Load Balancing The Accumulo master automatically balances the responsibility for serving tablets across tablet servers.
4 and earlier would have typically run on each worker node. In addition, applications require one to many processes using the Accumulo client library to write and read data. Architecture Overview | 41 Figure 1-30. A typical cluster Additional Features In addition to the features already described, Accumulo provides more features to help you build scalable applications running on large clusters. Not all of these are unique to Accumulo, but the combination of these features is likely unique. Automatic Data Partitioning Accumulo tables can be very large, up to petabytes in size.
Accumulo: Application Development, Table Design, and Best Practices by Aaron Cordova, Billie Rinaldi, Michael Wall