|author||AlexanderSaydakov <AlexanderSaydakov@users.noreply.github.com>||Wed Sep 04 13:36:11 2019 -0700|
|committer||AlexanderSaydakov <AlexanderSaydakov@users.noreply.github.com>||Wed Sep 04 13:36:11 2019 -0700|
This is a C++ version of the DataSketches core library. See Apache DataSketches home
Apache DataSketches is an open source, high-performance library of stochastic streaming algorithms commonly called “sketches” in the data sciences. Sketches are small, stateful programs that process massive data as a stream and can provide approximate answers, with mathematical guarantees, to computationally difficult queries orders-of-magnitude faster than traditional, exact methods.
This code requires C++11. It was tested with GCC 4.8.5 (standard in RedHat at the time of this writing), GCC 8.2.0 and Apple LLVM version 10.0.1 (clang-1001.0.46.4)
This includes Python bindings. For the Python interface, see the README notes in the python subdirectory.
This library was intended to be header-only, but this goal was not fully achieved yet with CPC sketch code. This work is in progress.
Building and running unit tests requires CppUnit.
Installing CppUnit on OSX: brew install cppunit
Installing CppUnit on RHEL: yum install cppunit-devel
There are currently two ways of building: using existing make files and generating make files using cmake. Exsisting make files might not work on all platforms or with all C++ compilers. Generating make files using cmake should solve this problem, but it currently requires cmake version 3.12.0 or later that might not be readily available as a package on all platforms.
Installing the latest cmake on OSX: brew install cmake
Building and running unit tests using existing make files:
$ make $ make test
Building and running unit tests using cmake:
$ mkdir build $ cd build $ cmake .. $ make $ make test