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asterix-gerrit.ics.uci.edu / asterixdb / 62b1791893e80958a8aa124af9961d063ac5064f
commit62b1791893e80958a8aa124af9961d063ac5064f[log] [tgz]
authorAbdullah Alamoudi <bamousaa@gmail.com>Fri Apr 20 06:03:48 2018 +0300
committerabdullah alamoudi <bamousaa@gmail.com>Fri Apr 20 04:58:27 2018 -0700
treeb41130f425f7c22333e8be63b2d0ae4c9be8fadb
parent16ea11cab9d70fafb53b0ef7e6034bfdda63985c [diff]
[NO ISSUE][STO] Only re-use compatible accessors in LSM Cursors

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

Details:
- Currently, when a search operation starts, using a previously
  used LSMCursor, and the number of components didn't change, we
  re-use cursors and accessors.
- However, we didn't check the type of the underlying component
  and since disk cursors/accessors are incompatible with memory
  component trees, we end up getting ClassCastException.
- This change checks for compatibility. If the component/cursor
  pair are incompatible, the cursor and accessor are destroyed
  and new ones are created.

Change-Id: I0fe224af1049b53c8cc37448ee8bfa2ccd780564
Reviewed-on: https://asterix-gerrit.ics.uci.edu/2608
Sonar-Qube: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Contrib: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Reviewed-by: Luo Chen <cluo8@uci.edu>
Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
2 files changed
tree: b41130f425f7c22333e8be63b2d0ae4c9be8fadb
  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