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 safety service provider (NSA) and in response to Google’s BigTable facts garage approach. Written by means of former NSA workforce individuals, this complete educational and reference covers Accumulo structure, program improvement, desk layout, and cell-level security.
With transparent details on approach management, functionality tuning, and most sensible practices, this publication is perfect for builders trying to write Accumulo functions, directors charged with fitting and preserving Accumulo, and different execs attracted to what Accumulo has to supply. you can find every thing you should utilize the program fully.
Get a high-level advent to Accumulo’s structure and knowledge model
Take a quick journey via unmarried- and multiple-node installations, facts ingest, and query
easy methods to write Accumulo functions for numerous use situations, in keeping with examples
Dive into Accumulo internals, together with info no longer to be had within the documentation
Get unique details for fitting, administering, tuning, and measuring performance
study most sensible practices in keeping with profitable implementations within the field
locate solutions to universal questions that each new Accumulo person asks
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Additional resources for Accumulo: Application Development, Table Design, and Best Practices
Accumulo tables can cope with missing or additional columns and changes in the underlying schema of the data because Accumulo does not make any assumptions about the schema. If rows imported every day for a month contain 10 columns and suddenly they now contain 11 columns, Accumulo will not reject a request to store the new rows; it will simply store them. Applications designed to read from the 10 known columns can continue to do so even with the new rows and simply ignore the additional column.
In Accumulo, the missing values simply do not appear in the list of key-value pairs. On disk, this data is laid out as a long series of sorted key-value pairs. Data Model | 15 Figure 1-8. A table consisting of rows and columns Note that there is no key-value pair in Figure 1-9 for the comment field for Apache Thrift, for example. Because Accumulo stores data this way, it can handle sparse data sets very efficiently. Writing a key-value pair that contains a column that doesn’t appear in any other row is no different from Accumulo’s perspective than storing any other key-value pair.
A good example of this is the way Google describes the row ID of its WebCrawl table in the Bigtable paper. In this table, the intent is to provide users with the ability to look up information about a given website, identified by the hostname. Because hostnames are hierarchical and because users may want to look at a specific hostname or all hostnames within a domain, Google chose to trans‐ form the hostname to support these access patterns by reversing the order in which domain name components are stored under the row ID, as shown in Table 1-1.
Accumulo: Application Development, Table Design, and Best Practices by Aaron Cordova, Billie Rinaldi, Michael Wall