[ Source: golang-github-retailnext-hllpp ]
Package: golang-github-retailnext-hllpp-dev (1.0.0+git20170901.6e8b6d3-3)
Links for golang-github-retailnext-hllpp-dev
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Download Source Package 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]
Maintainers:
External Resources:
- Homepage [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.
Download golang-github-retailnext-hllpp-dev
| Architecture | Package Size | Installed Size | Files |
|---|---|---|---|
| all | 35.1 kB | 133.0 kB | [list of files] |