A semistructured NoSQL style data model (ADM) resulting from extending JSON with object database ideas
Two expressive and declarative query languages (SQL++ and AQL) that support a broad range of queries and analysis over semistructured data
A parallel runtime query execution engine, Apache 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
Basic transactional (concurrency and recovery) capabilities akin to those of a NoSQL store
Learn more about AsterixDB at its website.
To build AsterixDB from source, you should have a platform with the following:
Instructions for building the master:
Checkout AsterixDB master:
$git clone https://github.com/apache/asterixdb.git
Build AsterixDB master:
$cd asterixdb $mvn clean package -DskipTests
Here are steps to get AsterixDB running on your local machine:
Start a single-machine AsterixDB instance:
$cd asterixdb/asterix-server/target/asterix-server-*-binary-assembly/apache-asterixdb-*-SNAPSHOT $./opt/local/bin/start-sample-cluster.sh
Good to go and run queries in your browser at:
Read more documentation to learn the data model, query language, and how to create a cluster instance.
To generate the documentation, run asterix-doc with the generate.rr profile in maven, e.g
mvn -Pgenerate.rr ... Be sure to run
mvn package beforehand or run
mvn site in asterix-lang-sqlpp to generate some resources that are used in the documentation that are generated directly from the grammar.