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asterix-gerrit.ics.uci.edu / asterixdb / d088dacbfd7601e41ff2cf4b0ed96cdefa3363fd
commitd088dacbfd7601e41ff2cf4b0ed96cdefa3363fd[log] [tgz]
authorAli Alsuliman <ali.al.solaiman@gmail.com>Sun May 12 04:39:57 2019 -0700
committerAli Alsuliman <ali.al.solaiman@gmail.com>Mon May 13 18:06:42 2019 +0000
tree72308b5b2ab7897fe7bef1980b90d7617e20443c
parentdba120319599d4b43be83b6a9abd7b944a69af96 [diff]
[ASTERIXDB-2564][RT] Too many objects created in min() and max()

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

Details:
During min() and max() aggregation, the functions keep track of
the aggregation type in order to handle heterogeneous  lists.
It promotes the aggregation type if needed (e.g. encountered double).
Don't switch to new aggregation type and create a new comparator
when the new input value type is the same as the previously
aggregated values. That is because canPromote(agg_type, new_val_type)
will always return true for same types.

Change-Id: I0bb9f0715985ae555de00bbf3173c80371d8968b
Reviewed-on: https://asterix-gerrit.ics.uci.edu/3391
Contrib: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Sonar-Qube: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Tested-by: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Integration-Tests: Jenkins <jenkins@fulliautomatix.ics.uci.edu>
Reviewed-by: Dmitry Lychagin <dmitry.lychagin@couchbase.com>
1 file changed
tree: 72308b5b2ab7897fe7bef1980b90d7617e20443c
  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