| commit | a7fa05bb014503609d1b6287fa08b0a296098088 | [log] [tgz] |
|---|---|---|
| author | luochen01 <cluo8@uci.edu> | Mon Jun 19 22:47:49 2017 -0700 |
| committer | Yingyi Bu <buyingyi@gmail.com> | Tue Jun 20 09:16:37 2017 -0700 |
| tree | 9fda857b2d2b2e8022f80213b8baa9c7462f0a48 | |
| parent | 86cbec5370e32fea0a877bd64afabebd06dbb355 [diff] |
[ASTERIXDB-1946][STO][IDX] Create BTreeIndex for Correlated Datasets Implemented create seconary BTree index for datasets using correlated merge policy. Instead of creating one component for the new index, this change creates one component for each component of the primary index to maintain the correlation. The current implementation assumes when a secondary index is being created, the dataset is locked with no modifications. Change-Id: I2a3435e6720f07bd6a5092d4d9ce42e8d4b7894c Reviewed-on: https://asterix-gerrit.ics.uci.edu/1813 Sonar-Qube: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Reviewed-by: Yingyi Bu <buyingyi@gmail.com> 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.