[ASTERIXDB-2074][MVN] Fix manifest metadata

1. Ensure the following jar metdata is configured correctly:
  - Implementation-Title
  - Implementation-URL
  - Implementation-Vendor

2. Remove extraneous entries around specification (N/A)

e.g.

$ unzip -p hyracks-util-0.3.4-SNAPSHOT.jar META-INF/MANIFEST.MF
Manifest-Version: 1.0
Implementation-Title: Apache Hyracks - hyracks-util
Implementation-Version: 0.3.4-SNAPSHOT
Built-By: <snip>
Implementation-Vendor-Id: org.apache.hyracks
Created-By: Apache Maven 3.3.9
Build-Jdk: 1.8.0_144
Implementation-URL: https://asterixdb.apache.org/
Implementation-Vendor: The Apache Software Foundation

Change-Id: Ie14913e390b0ab167044523c00cc345c2578beef
Reviewed-on: https://asterix-gerrit.ics.uci.edu/2435
Sonar-Qube: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Reviewed-by: Ian Maxon <imaxon@apache.org>
Contrib: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
2 files changed
tree: bd5a47b013be3c26c31e4a159f62494d4b9a4aa1
  1. .gitattributes
  2. .gitignore
  3. README.md
  4. asterixdb/
  5. build.xml
  6. hyracks-fullstack/
  7. pom.xml
README.md

What is AsterixDB?

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.

Build from source

To build AsterixDB from source, you should have a platform with the following:

  • A Unix-ish environment (Linux, OS X, will all do).
  • git
  • Maven 3.3.9 or newer.
  • Oracle JDK 8 or newer.

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
    

Run the build on your machine

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.

Documentation

Community support