hyperloglog | HyperLogLog and HyperLogLog implementation in Go/Golang

by clarkduvall Go Version: Current License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | hyperloglog Summary

hyperloglog is a Go library. hyperloglog has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Implements the HyperLogLog and HyperLogLog++ algorithms.

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Security

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Support

hyperloglog has a low active ecosystem.

It has 398 star(s) with 40 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 5 have been closed. On average issues are closed in 26 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of hyperloglog is current.

Quality

hyperloglog has 0 bugs and 0 code smells.

Security

hyperloglog has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

hyperloglog code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hyperloglog is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

hyperloglog releases are not available. You will need to build from source code and install.

It has 1604 lines of code, 94 functions and 10 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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hyperloglog Key Features

No Key Features are available at this moment for hyperloglog.

hyperloglog Examples and Code Snippets

Features

maven

Lines of Code : 34

License : No License

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// 1. Create config object
Config config = new Config();
config.useClusterServers()
       // use "rediss://" for SSL connection
      .addNodeAddress("redis://127.0.0.1:7181");

// or read config from file
config = Config.fromYAML(new File("config-f

Community Discussions

Trending Discussions on hyperloglog

How to link the bitcodes of PostgreSQL

Is there a postgres function to mutably update a binary data structure?

Django culmulative sum of HyperLogLog (HLL) Postgres field

QUESTION

How to link the bitcodes of PostgreSQL

Asked 2022-Mar-22 at 08:54

I want to run llvm-slicer (source) for PostgreSQL main executable file (i.e., PG_ROOT/src/backend/postgres) to carry backward slicing on PostgreSQL. llvm-slicer runs on top of bitcode (.bc file). I have compiled PostgreSQL via ./configure CC=clang-6.0 && make CC=clang-6.0, duiring which, the final compile command that link many .o files together is (very long):

...

ANSWER

Answered 2022-Mar-22 at 08:54

Solution: whole-program-llvm.

It provides tools for building whole-program (or whole-library) LLVM bitcode files from an unmodified C or C++ source package. It currently runs on *nix platforms such as Linux, FreeBSD, and Mac OS X.

Source https://stackoverflow.com/questions/71237916

QUESTION

Is there a postgres function to mutably update a binary data structure?

Asked 2021-Feb-09 at 12:34

I have written an AGGREGATE function that approximates a SELECT COUNT(DISTINCT ...) over a UUID column, a kind of poor man's HyperLogLog (and having different perf characteristics).

However, it is very slow because I am using set_bit on a BIT and that has copy-on-write semantics.

So my question is:

is there a way to inplace / mutably update a BIT or bytea?
failing that, are there any binary data structures that allow mutable/in-place set_bit edits?

A constraint is that I can't push C code or extensions to implement this. But I can use extensions that are available in AWS RDS postgres. If it's not faster than HLL then I'll just be using HLL. Note that HLL is optimised for pre-aggregated counts, it isn't terribly fast at doing adhoc count estimates over millions of rows (although still faster than a raw COUNT DISTINCT).

Below is the code for context, probably buggy too:

...

ANSWER

Answered 2021-Feb-09 at 11:58

Yeah, SQL isn't actually that fast for raw computation. I might try a UDF, perhaps pljava or plv8 (JavaScript) which compile just-in-time to native and available on most major hosting providers. Of course for performance, use C (perhaps via LLVM) for maximum performance at maximum pain. Plv8 should take minutes to prototype, just pass an array constructed from array_agg(). Obviously keep the array size to millions of items, or find a way to roll-up your sketches ( bitwuse-AND ?) https://plv8.github.io/#function-calls https://www.postgresqltutorial.com/postgresql-aggregate-functions/postgresql-array_agg-function/

FYI HyperLogLog is available as an open source extension for PostgreSQL from Citus/Microsoft and of course available on Azure. https://www.google.com/search?q=hyperloglog+postgres (You could crib from their coffee and just change the core algorithm, then test side by side). Citus is pretty easy to install, so this isn't a bad option.

Source https://stackoverflow.com/questions/66118133

QUESTION

Django culmulative sum of HyperLogLog (HLL) Postgres field

Asked 2020-May-26 at 07:55

I'm using the HyperLogLog (hll) field to represent unique users, using the Django django-pg-hll package. What I'd like to do is get a cumulative total of unique users over a specific time period, but I'm having trouble doing this.

Given a model like:

...

ANSWER

Answered 2020-May-26 at 07:55

This bug occurs because the django-pg-hll pacakage uses the hll_cardinalityfunction instead of the # operator for window functions. Moving to a raw sql solution fixed the issue.

Source https://stackoverflow.com/questions/61937596

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