| commit | 4ff6a36d108182e5f36ceac40a27dd89cc29cd23 | [log] [tgz] |
|---|---|---|
| author | Abdullah Alamoudi <bamousaa@gmail.com> | Mon Feb 12 09:24:15 2018 -0800 |
| committer | abdullah alamoudi <bamousaa@gmail.com> | Mon Feb 12 15:27:53 2018 -0800 |
| tree | 61b479e57abf2ba8e3a0719321bcc1091c3315ca | |
| parent | 2f392e855a8049f3c39ae6bd6c87804719e35bc7 [diff] |
[ASTERIXDB-2204][STO] Fix implementations and usages of IIndexCursor
- user model changes: no
- storage format changes: no
- interface changes: yes
- IIndexCursor.close() is now idempotent and can be called on
a closed cursor.
- IIndexCursor.destroy() is now idempotent and can be called
on a destroyed cursor.
- Add IIndexAccessor.destroy() letting the accessor know it is
safe to destroy its reusable cursors and operation contexts.
- Add IIndexOperationContext.destroy() letting the context
know that the user is done with it and allow it to release
resources
details:
- Previously, implementations of the IIndexCursor interface
didn't enforce the interface contract. This change enforces
the contract for all the implementations.
- With the enforcement of the contract, all the users of the
cursors are expected to follow and enforce the expected lifecycle.
- Test cases were added.
Change-Id: I98a7a8b931eb24dbe11bf2bdc61b754ca28ebdf9
Reviewed-on: https://asterix-gerrit.ics.uci.edu/2324
Reviewed-by: Michael Blow <mblow@apache.org>
Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Contrib: 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.