| commit | 5070d633eaee536c20706e59891a44a6257d8bd8 | [log] [tgz] |
|---|---|---|
| author | Murtadha Hubail <mhubail@apache.org> | Thu Nov 16 22:30:35 2017 +0300 |
| committer | Murtadha Hubail <mhubail@apache.org> | Thu Nov 16 15:26:25 2017 -0800 |
| tree | fb6ec9e042c3d6f87e20b6588d8933b11486cfc2 | |
| parent | 893d385f7132d002fb3219d1e55e03836920d61a [diff] |
[NO ISSUE][TX] Introduce Atomic Transactions - user model changes: no - storage format changes: no - interface changes: yes - Redesign and simplify ITransactionManager API - Redesign and simplify ITransactionContext API Details: - Introduce atomic transactions. Unlike entity level transaction, atomic transaction do not generate any entity commit logs and may modify multiple primary indexes. Therefore, either all the operations of an atomic transaction will be committed or nothing. Atomic transactions are used by metadata transactions, while other transactions still use entity level transactions. - Add index resource id to AbstractOperationCallback. - Refactor metadata index modification code. - Remove unused class MutableResourceId - Remove unused class FieldsHashValueGenerator - Add test case for concurrent metadata transactions. Change-Id: I13db1c15f8afbdaae608ff0a7468fe62bf1daccd Reviewed-on: https://asterix-gerrit.ics.uci.edu/2156 Sonar-Qube: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Reviewed-by: Michael Blow <mblow@apache.org> Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu> Contrib: 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.