[ 原始碼： golang-github-retailnext-hllpp ]
套件：golang-github-retailnext-hllpp-dev（1.0.0+git20170901.6e8b6d3-3）
golang-github-retailnext-hllpp-dev 的相關連結
Debian 的資源：
下載原始碼套件 golang-github-retailnext-hllpp：
- [golang-github-retailnext-hllpp_1.0.0+git20170901.6e8b6d3-3.dsc]
- [golang-github-retailnext-hllpp_1.0.0+git20170901.6e8b6d3.orig.tar.xz]
- [golang-github-retailnext-hllpp_1.0.0+git20170901.6e8b6d3-3.debian.tar.xz]
維護小組：
外部的資源：
- 主頁 [github.com]
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HyperLogLog++ cardinality estimation algorithm
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 is the dev package.