d434b50f8881cd32b5e95e93a7a856f8bff8509e - asterixdb

commit	d434b50f8881cd32b5e95e93a7a856f8bff8509e	[log] [tgz]
author	Preston Carman <prestonc@apache.org>	Tue Feb 02 20:36:22 2016 -0800
committer	Preston Carman <prestonc@apache.org>	Wed Feb 03 08:28:18 2016 -0800
tree	1bd2c05b8833a30dd163422f2028c797cbb17f7d
parent	9dcba3c9fec7c83b9f834c1289fe8dca70be4d32 [diff]

ASTERIXDB-1281 - Interval format update to AQL and ADM

The new interval format takes a more generic approach to representing intervals.
Here is an example for a date interval:

interval(date("2012-01-01”), date(”2013-04-01”))

Note that the interval type is defined by the arguments to the interval expression.
Currently only date, time, and datetime types are supported for intervals. The new
format is used for ADM and AQL.

In addition to the format change, the internal byte structure of an interval has been
updated. The format looks like the following:

byte tag, T start, T end (where T is a date, time or datetime type)

Note how the tag has been moved to the front. Also with the new sturcture, an
interval is variable length, not fixed length as before.

Change-Id: I009c71b7a445d141e228ba15d56d0b6cf3c8a3f5
Reviewed-on: https://asterix-gerrit.ics.uci.edu/602
Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Reviewed-by: Till Westmann <tillw@apache.org>

71 files changed

tree: 1bd2c05b8833a30dd163422f2028c797cbb17f7d

README.md

#AsterixDB

AsterixDB is a BDMS (Big Data Management System) with a rich feature set that sets it apart from other Big Data platforms. Its feature set makes it well-suited to modern needs such as web data warehousing and social data storage and analysis. AsterixDB has:

A semistructured NoSQL style data model (ADM) resulting from extending JSON with object database ideas
An expressive and declarative query language (AQL) that supports a broad range of queries and analysis over semistructured data
A parallel runtime query execution engine, Hyracks, that has been scale-tested on up to 1000+ cores and 500+ disks
Partitioned LSM-based data storage and indexing to support efficient ingestion and management of semistructured data
Support for query access to externally stored data (e.g., data in HDFS) as well as to data stored natively by AsterixDB
A rich set of primitive data types, including spatial and temporal data in addition to integer, floating point, and textual data
Secondary indexing options that include B+ trees, R trees, and inverted keyword (exact and fuzzy) index types
Support for fuzzy and spatial queries as well as for more traditional parametric queries
Basic transactional (concurrency and recovery) capabilities akin to those of a NoSQL store

Learn more about AsterixDB at [http://asterixdb.ics.uci.edu/] (http://asterixdb.ics.uci.edu/)

##Building AsterixDB

To build AsterixDB from source, you should have a platform with the following:

A Unix-ish environment (Linux, OS X, will all do).
git
Maven 3.1.1 or newer.
Java 7 or newer.

Additionally to run all the integration tests you should be running sshd locally, and have passwordless ssh logins enabled for the account which is running the tests.

##Documentation

AsterixDB's official documentation resides at [http://asterixdb.ics.uci.edu/documentation/index.html] (http://asterixdb.ics.uci.edu/documentation/index.html). This is built from the maven project under asterix-doc/ as a maven site. The documentation on the official website refers to the most stable release version, so for pre-release versions one should refer to the compiled documentation.

##Support/Contact

If you have any questions, please feel free to ask on our mailing list, users@asterixdb.incubator.apache.org. Join the list by sending an email to users-subscribe@asterixdb.incubator.apache.org. If you are interested in the internals or developement of AsterixDB, also please feel free to subscribe to our developer mailing list, dev@asterixdb.incubator.apache.org, by sending an email to dev-subscribe@asterixdb.incubator.apache.org.