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asterix-gerrit.ics.uci.edu / asterixdb / bc7e16e0580336442622c82404755a3b65472c4b
commitbc7e16e0580336442622c82404755a3b65472c4b[log] [tgz]
authorAbdullah Alamoudi <bamousaa@gmail.com>Thu May 31 09:46:58 2018 +0300
committerabdullah alamoudi <bamousaa@gmail.com>Thu May 31 19:12:24 2018 -0700
tree1343b5d8d843ca44060d309d5df9be9055ab42ba
parent5a34ce7c78e873ed759536b96a9842435032c6dd [diff]
[NO ISSUE][STO] Skip deleting unallocated memory component

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

Details:
- This change fixes the component delete logic
- It first ensures that memory is allocated for the index
- Then it checks whether the memory component is to be deleted
- This is important since there might be cases where primary
  index has the memory allocated but not the secondary and
  without allocating secondary and deleting it, we could end
  up with memory components with different ids.

Change-Id: I0c6c7968830f3c9241bd036c0a330be1400349b4
Reviewed-on: https://asterix-gerrit.ics.uci.edu/2668
Sonar-Qube: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Reviewed-by: abdullah alamoudi <bamousaa@gmail.com>
Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Contrib: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Reviewed-by: Michael Blow <mblow@apache.org>
Reviewed-by: Murtadha Hubail <mhubail@apache.org>
2 files changed
tree: 1343b5d8d843ca44060d309d5df9be9055ab42ba
  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