[ASTERIXDB-2574][COMP] Fix min/max functions

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

This change is mainly for 2 things. The first thing is to not throw
an exception when the type of the aggregated field is invalid for min/max
(e.g. record or rectange) or min/max get incompatible data like string
and int. The result in this case would be NULL. The second thing is to
enable comparing ARRAYs correctly by using logical comparison. When
a partition runs into type invalidity, it will output NULL. The global
aggregator interprets NULL received from a partition as type invalidity
and outputs NULL as the final result. Both SQL and SQL++ will do that.
Special treatment is needed for scalar and distinct version of SQL since
SQL min/max ignores NULL values and continue aggregation and the scalar
and distinct version of SQL are normally setup as a global aggregator
since they behave like the global aggregator in a two-step aggregation.
Currently, there is only a local min and max functions. The other
min/max functions are used for everything, the global function of
two-step aggregation, and for scalar and distinct min/max. In order to
differentiate, a global min/max functions are added that will be used
for the two-step aggregation.

Details:
- fixed listify to open up elements when adding them to the collection
and the collection item type is of type ANY and changed the type inferer
of listify to enable that.
- fixed AbstractCollectionType to make sure itemType is never null.
- changed MinMaxAggTypeComputer to not throw an exception but return
NULL for invalid types.
- changed min/max descriptors to implement inferer to propagate the
type of the field and pass that when getting a comparator.
- switched min/max comparison to the logical comparison.
- refactored method inequalityUndefined to be shared by logical comparison
and min/max functions.
- added global max/min functions to enable differentiating between
scalar min/max, distinct min/max and two-step min/max (global & local).
- code clean-up for LogicalScalarBinaryComparator; created two INSTANCES
and re-used.

Change-Id: I1231cfe558099d167bae0b2fa7fc4879b756baf0
Reviewed-on: https://asterix-gerrit.ics.uci.edu/3427
Contrib: 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>
152 files changed
tree: 4fa59c6eb557a1448cf850b57e1a50578f289b40
  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