|author||Lee Rhodes <firstname.lastname@example.org>||Mon Feb 08 20:08:06 2021 -0800|
|committer||GitHub <email@example.com>||Mon Feb 08 20:08:06 2021 -0800|
Merge pull request #348 from apache/Prep_for_2.0.0-RC3 Made parallel APIs for SetOperations in Theta, and Tuple (generics).
This is the core Java component of the DataSketches library. It contains all of the sketching algorithms and can be accessed directly from user applications.
This component is also a dependency of other components of the library that create adaptors for target systems, such as Hadoop Pig and Hadoop Hive.
Note that we have a parallel core component for C++ and Python implementations of the same sketch algorithms, datasketches-cpp.
Please visit the main DataSketches website for more information.
If you are interested in making contributions to this site please see our Community page for how to contact us.
NOTE: This component accesses resource files for testing. As a result, the directory elements of the full absolute path of the target installation directory must qualify as Java identifiers. In other words, the directory elements must not have any space characters (or non-Java identifier characters) in any of the path elements. This is required by the Oracle Java Specification in order to ensure location-independent access to resources: See Oracle Location-Independent Access to Resources
This DataSketches component is pure Java and you must compile using JDK 8 with Hotspot.
This DataSketches component is structured as a Maven project and Maven is the recommended Build Tool.
There are two types of tests: normal unit tests and tests run by the strict profile.
To run normal unit tests:
$ mvn clean test
To run the strict profile tests:
$ mvn clean test -P strict
To install jars built from the downloaded source:
$ mvn clean install -DskipTests=true
This will create the following jars:
There is one run-time dependency:
See the pom.xml file for test dependencies.