|author||AlexanderSaydakov <AlexanderSaydakov@users.noreply.github.com>||Mon Jun 01 14:28:43 2020 -0700|
|committer||Jon Malkin <firstname.lastname@example.org>||Tue Jun 02 13:56:49 2020 -0700|
added new header
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 is header-only. The build process provided is only for building unit tests and the python library.
Building the unit tests requires cmake 3.12.0 or higher.
Installing the latest cmake on OSX: brew install cmake
Building and running unit tests using cmake for OSX and Linux:
$ mkdir build $ cd build $ cmake .. $ make $ make test
Building and running unit tests using cmake for Windows from the command line:
$ mkdir build $ cd build $ cmake .. $ cd .. $ cmake --build build --config Release $ cmake --build build --config Release --target RUN_TESTS
We have two ASF the-ASF.slack.com slack channels:
For bugs and performance issues please subscribe: Issues for datasketches-cpp
For general questions about using the library please subscribe: Users Mail List
If you are interested in contributing please subscribe: Developers Mail list