| Name : golang-github-retailnext-hllpp-devel
| |
| Version : 1.0.0
| Vendor : Fedora Project
|
| Release : 6.fc35
| Date : 2021-07-22 10:20:13
|
| Group : Unspecified
| Source RPM : golang-github-retailnext-hllpp-1.0.0-6.fc35.src.rpm
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| Size : 0.11 MB
| |
| Packager : Fedora Project
| |
| Summary : Hyperloglog cardinality estimation algorithm in Go
|
Description :
Hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm
in Go. It optimizes for memory usage over CPU usage. It implements all the
HyperLogLog optimizations introduced in the HyperLogLog++ paper
(http://goo.gl/Z5Sqgu). Some notable features include:
– marshaling so you can serialize to your datastore
– extra space savings by only using 5 bits per register when possible
– built-in non-streaming murmur3 implementation for fast hashing of input data
This package contains the source code needed for building packages that
reference the following Go import paths:
– github.com/retailnext/hllpp
|
RPM found in directory: /packages/linux-pbone/archive.fedoraproject.org/fedora/linux/releases/35/Everything/armhfp/os/Packages/g |
