| commit | 56189fb1116a25aca29b3989814ceea00d470e39 | [log] [tgz] |
|---|---|---|
| author | Taewoo Kim <wangsaeu@yahoo.com> | Sat Feb 04 14:45:51 2017 -0800 |
| committer | Taewoo Kim <wangsaeu@gmail.com> | Sun Feb 05 00:20:27 2017 -0800 |
| tree | 6acd53c8dc4e3c8a4773b4b570ebf256519e1c0e | |
| parent | 2343e1c13f03f9f04f50229d883e84c2ec82bada [diff] |
ASTERIXDB-1778: Optimize the edit-distance-check function - Only calculate 2 * (threshold + 1) cells, rather than all cells per row. - Terminate the calculation steps early when it become obvious that the possible edit-distance value is greater than the given threshold. There is no reason to compute all cells in the 2 dimensional array. - Move the location of IListIterator to Hyracks since we now have a CharacterIterator in a String. Change the name to ISequenceIterator. - Add the section for the function in the manual. - Remove letter counting filtering method since it is only applicable for the string in ASCII range (0 ~ 127). Change-Id: Ibc8729c4514bb87c347dd7d50358fd897b769977 Reviewed-on: https://asterix-gerrit.ics.uci.edu/1481 Sonar-Qube: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu> BAD: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Reviewed-by: Jianfeng Jia <jianfeng.jia@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/ $./samples/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.