Closed patelprateek closed 1 year ago
Benchmarks are available in https://github.com/jbapple/libfilter/tree/master/cpp/extras/benchmarks
ran
make
make cpp-world : throws error
make[3]: Entering directory '/home/jupyter/libfilter/cpp/extras/test'
g++ -std=c++17 -I /home/jupyter/libfilter/c/include -I /home/jupyter/libfilter/cpp/include -I /home/jupyter/libfilter/cpp/extras/include -I /home/jupyter/libfilter/cpp/extras/googletest/googletest/include -I googletest/googletest/include -W -Wall -Wextra -march=native -mtune=native -O3 -DNDEBUG -ggdb3 -Iinclude -MM block.cpp -o block.d.new
block.cpp:5:10: fatal error: gtest/gtest.h: No such file or directory
5 | #include "gtest/gtest.h"
| ^~~~~~~
You need to initialize the git submodules first: git submodule update --init --recursive
Thanks for the amazing work. Can we please also add some benchmarking results for different filters. Trying to understand the Build latency , query latency , fpp rates and bits per value for these different filters to choose something that fits under some of opur sla requirements. use case is upper bound 50-100 million values to be added , for a given bits/value , what would be the memory size for the filter and build latency when adding huge number of elements to the filter