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asterix-gerrit.ics.uci.edu / asterixdb / db6f45d3eebebbfa3767c2de6f1df6fa7b0e618c
commitdb6f45d3eebebbfa3767c2de6f1df6fa7b0e618c[log] [tgz]
authorDmitry Lychagin <dmitry.lychagin@couchbase.com>Thu Apr 25 22:06:25 2019 -0700
committerDmitry Lychagin <dmitry.lychagin@couchbase.com>Fri Apr 26 22:58:53 2019 +0000
treef38381009939fce4b0e8576512b023aaf59c7549
parent8e8f5d0104478e548f0cb2705ea834823f90ef4d [diff]
[NO ISSUE][COMP] Refactor physical operators for GroupBy and DistinctBy

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

Details:
- Introduce AbstractGroupByPOperator -
  base class for physical GroupBy operators
- Introduce AbstractDistinctByPOperator -
  base class for physical DistinctBy operators
- Set memory limit for MicroPreclusteredGroupByPOperator
- Remove unused PhysicalOperatorTag.HASH_GROUP_BY
- Rename GroupByOperator.getGbyVarList() to getGroupByVarList()
- Remove constructors that do not specify memory limit from
  PreclusteredGroupOperatorDescriptor and PreclusteredGroupWriter

Change-Id: I93f17a6a3e0df6587e518e18eea01ca54a289b4c
Reviewed-on: https://asterix-gerrit.ics.uci.edu/3364
Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Reviewed-by: Ali Alsuliman <ali.al.solaiman@gmail.com>
29 files changed
tree: f38381009939fce4b0e8576512b023aaf59c7549
  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/apache-asterixdb-*-SNAPSHOT
  $./opt/local/bin/start-sample-cluster.sh

  • Good to go and run queries in your browser at:

      http://localhost:19001

  • Read more documentation to learn the data model, query language, and how to create a cluster instance.

Documentation

Community support