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asterix-gerrit.ics.uci.edu / asterixdb / 7ec813cc57a34b0e190e0cb22ef2a0e99541e9d8
commit7ec813cc57a34b0e190e0cb22ef2a0e99541e9d8[log] [tgz]
authorluochen01 <cluo8@uci.edu>Sun Feb 25 15:33:15 2018 -0800
committerLuo Chen <cluo8@uci.edu>Sun Feb 25 17:08:06 2018 -0800
treea28b5d2a362d18d84a583e0eff771c921ee36355
parent48e3dce36d08a079e90986e7ff28c87893b5b1bb [diff]
[ASTERIXDB-2299] Set log type properly during modifications

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

Details:
- Previously we have a deadlock-free protocol during normal ingestion
pipeline. When the try lock fails, we flush the frame partially so that
they can release locks, and log a WAIT record to wake up after that.
However, after logging the WAIT record, we didn't set the log type
back to UPDATE. This seriously degrades the ingestion performance
afterwords since all updates log records would become WAIT log records,
which require heavier logic to process upon the log is flushed to
disk.

Change-Id: Ibcf93072ca0833cb24ba6719796f58df56384c3b
Reviewed-on: https://asterix-gerrit.ics.uci.edu/2424
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: Murtadha Hubail <mhubail@apache.org>
1 file changed
tree: a28b5d2a362d18d84a583e0eff771c921ee36355
  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