[ASTERIXDB-2516][RT] Prevent passing null type to comparator provider

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

Details:
This change is to disallow passing null as IAType to the comparator
provider when asking for a comparator. It also includes few fixes
for issues appearing as a result of this change.

- changed the generic comparator to check whether the tag of data
at runtime is a valid tag and throw an exception if not.
- modified the comparator provider to return non-tagged comparator
for IAType SHORTWITHOUTINFOTYPE which is a short without tag.
SHORTWITHOUTINFOTYPE should not use the generic comparator since
the input data has no tag.
- fixed Dataset class to consider external dataset when getting
the IAType of the primary keys. The primary keys for external
datasets are different from regular datasets. They are not
part of the record type. Previously, null would be returned.
This would cause a failure when getting a comparator for the
primary keys of an external dataset since the type passed is null.
- fixed the TypeTraitProvider to give the correct lengths for
duration, day_time_duration, and year_month_duration.

Change-Id: I37767a3f3d1e3b29597d2a4998c0b60005cadb09
Reviewed-on: https://asterix-gerrit.ics.uci.edu/3336
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: Till Westmann <tillw@apache.org>
14 files changed
tree: 472c396971df2ac33008fd01f7059f4d6224bd2d
  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