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asterix-gerrit.ics.uci.edu / asterixdb / 9b9dc22a25ce5360f70c68c98c4a22e079ad5891
commit9b9dc22a25ce5360f70c68c98c4a22e079ad5891[log] [tgz]
authorAbdullah Alamoudi <bamousaa@gmail.com>Tue Sep 05 18:09:39 2017 -0700
committerabdullah alamoudi <bamousaa@gmail.com>Wed Sep 06 09:00:19 2017 -0700
tree71c88fa8f9699576f167f9dedb747a1f78d7b874
parent10cc52d9228b341a1dba898d267f2526123de6fc [diff]
[NO ISSUE][OTH] Improve Http Server

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

details:
- Log estimated input memory budget
- Ensure all allocated input memory buffers are 4K. This reduces
  the chance of memory allocation to go beyond budget. This also
  allows input and output to share buffers of this size since
  it is the size of choice for reading and writing.
- Reject requests that go beyond server capacity before reading
  them which reduces wasted resources.
- Allow configurations of number of bosses and workers for an
  Http web manager.
- Push the limit further in Http server tests through:
  -- Increase the size of the single request to ~100KB.
  -- Increase the number of rejected requests.

Change-Id: I7adcd59047805dc384e1c119191eff995c6e9a7a
Reviewed-on: https://asterix-gerrit.ics.uci.edu/1991
Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Contrib: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Reviewed-by: Murtadha Hubail <mhubail@apache.org>
8 files changed
tree: 71c88fa8f9699576f167f9dedb747a1f78d7b874
  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