| commit | 11f7c34ca9a1180b21c3d7eb1831b3a6fbe2385d | [log] [tgz] |
|---|---|---|
| author | Murtadha Hubail <mhubail@apache.org> | Sun Jul 15 10:55:47 2018 +0300 |
| committer | Murtadha Hubail <mhubail@apache.org> | Sun Jul 15 14:21:08 2018 -0700 |
| tree | 4950a930e5dcde91e7e95feebd950c819dbebdfe | |
| parent | 40388c4f5ba1cf8258a7ee257fe91855e77f0a1a [diff] |
[ASTERIXDB-1130][STO]: JSON serialization for persisted objects - user model changes: no - storage format changes: This change replaces the use of Java serialization for persisted objects such as dataset/index metadata, checkpoints, ect... This will break backward compatibly with any existing AsterixDB instance. However, the change is needed to enable future backward compatibility support for persisted objects. - interface changes: IJsonSerializable: contains API to serialize a class as a JsonNode. IPersistedResourceRegistry: contains a mapping between an IJsonSerializable class and a unique type id. An IPersistedResourceRegistry is responsible for generating the class identifier in the JSON output. The class identifier will always contain the following attributes: @type: a unique type id that identifies the object type. @version: the version of the serialized class. @class: the serialized class full name. Any registered class with PersistedResourceRegistry must provide a static fromJson(IPersistedResourceRegistry, JsonNode) method for deserialization. This is ensured during the class registration process. Change-Id: I5b103e06eab6627dbfe9d531caae1a3ac4b296da Reviewed-on: https://asterix-gerrit.ics.uci.edu/2752 Reviewed-by: Murtadha Hubail <mhubail@apache.org> Integration-Tests: Murtadha Hubail <mhubail@apache.org> Tested-by: Murtadha Hubail <mhubail@apache.org> Contrib: 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.