| commit | ef173f34f0b26627a6a99ed350becf0f6c1b8395 | [log] [tgz] |
|---|---|---|
| author | Murtadha Hubail <mhubail@uci.edu> | Sun Feb 19 20:27:29 2017 +0300 |
| committer | abdullah alamoudi <bamousaa@gmail.com> | Sun Feb 19 12:29:35 2017 -0800 |
| tree | 1611990cabdc02b66925f6700d9450a342be0c24 | |
| parent | fff200ca8e932edff58862fcc95502d65ceebd01 [diff] |
Introduce Strategy Based Replication and Fault-Tolerance This change includes the following: - Introduce new APIs for Replication and Fault-Tolerance Strategies. - Add configuration in cluster description file for high-availability. - Add built-in replication strategies (Metadata_Only, Chained_Declustering) - Add built-in fault-tolerance strategies (Auto, Metadata_Node) - Remove none cluster state functionality from ClusterStateManager. - Add customizable NC startup sequence Change-Id: I1d1012f5541ce786f127866efefb9f3db434fedd Reviewed-on: https://asterix-gerrit.ics.uci.edu/1405 Sonar-Qube: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Reviewed-by: abdullah alamoudi <bamousaa@gmail.com>
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:
Data model A semistructured NoSQL style data model (ADM) resulting from extending JSON with object database ideas
Query languages Two expressive and declarative query languages (SQL++ and AQL) that support a broad range of queries and analysis over semistructured data
Scalability A parallel runtime query execution engine, Apache Hyracks, that has been scale-tested on up to 1000+ cores and 500+ disks
Native storage Partitioned LSM-based data storage and indexing to support efficient ingestion and management of semistructured data
External storage Support for query access to externally stored data (e.g., data in HDFS) as well as to data stored natively by AsterixDB
Data types A rich set of primitive data types, including spatial and temporal data in addition to integer, floating point, and textual data
Indexing Secondary indexing options that include B+ trees, R trees, and inverted keyword (exact and fuzzy) index types
Transactions 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/ $./opt/local/bin/start-sample-cluster.sh
Good to go and run queries in your browser at:
http://localhost:19001
Read more documentations to learn the data model, query language, and how to create a cluster instance.