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asterix-gerrit.ics.uci.edu / asterixdb / cda3062f179c9c36efe40359adc2305002cc682d
commitcda3062f179c9c36efe40359adc2305002cc682d[log] [tgz]
authorMurtadha Hubail <mhubail@apache.org>Sat Feb 03 08:17:21 2018 +0300
committerMurtadha Hubail <mhubail@apache.org>Sat Feb 03 16:29:15 2018 -0800
treeed6bb1e13d775826977638e5a833491cf4286eae
parentdd4cae8e59ce0d2594be062d4088eff2cbe75016 [diff]
[NO ISSUE][CLUS] Add Metadata Cluster Partition

- user model changes: no
- storage format changes: no
- interface changes: yes

Details:
- Add a cluster partition reference to the cluster
  partition in which metadata is stored. This allows
  the initial metadata node to be removed from the
  cluster and another metadata node to be assigned
  to that metadata cluster partition. Initially,
  it is assigned to the first partition of the first
  metadata node.
- Use metadata cluster partition in defining metadata
  datasets file splits instead of the assumption of the
  first partition on the initial metadata node.

Change-Id: I2ac99252cacba92b4c4484c0d34cdc77fee307e8
Reviewed-on: https://asterix-gerrit.ics.uci.edu/2348
Sonar-Qube: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Reviewed-by: Michael Blow <mblow@apache.org>
Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Contrib: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
4 files changed
tree: ed6bb1e13d775826977638e5a833491cf4286eae
  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