| commit | d8a6c71d51c46025476a23df263e260fdacc7c15 | [log] [tgz] |
|---|---|---|
| author | Till Westmann <tillw@apache.org> | Mon Mar 13 17:58:16 2017 -0700 |
| committer | Till Westmann <tillw@apache.org> | Mon Mar 13 22:31:37 2017 -0700 |
| tree | 92e3fc99af0796e1259d763a13258181f8c2ece6 | |
| parent | 9d69d1b3f7d08d49e2a0e5b649985bc7b202b3b7 [diff] |
Deferred result delivery improvements - Change representation for result set handles to not require URL encoding - Report errors from the QueryStatusApiServlet for failed jobs - Fix repeated result consumption for async/deferred requests - Better error handling in QueryResultApiServlet - Add host + path to RequestParameters to provide URLs as handles - Fix logging for failed async jobs - Fix test framework to not share request parameters between tests - Move more shared code to AbstractQueryApiServlet - Make DatasetClientContext a static inner class of HyracksDataset Change-Id: I88fe289fe9109ea012c63d82af0083dce6bde31b Reviewed-on: https://asterix-gerrit.ics.uci.edu/1548 Sonar-Qube: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Reviewed-by: Michael Blow <mblow@apache.org> BAD: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
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.