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@tomhicks
tomhicks / plink-plonk.js
Last active November 12, 2024 19:08
Listen to your web pages

Various search databases and backends as alternatives to Elasticsearch.

Rust

@SteveSandersonMS
SteveSandersonMS / blazor-state-user-docs.md
Last active November 15, 2024 19:38
Preserving State in Server-Side Blazor applications

Preserving State in Server-Side Blazor applications

Server-side Blazor is a stateful application framework. Most of the time, your users will maintain an ongoing connection to the server, and their state will be held in the server's memory in what's known as a "circuit". Examples of state held for a user's circuit include:

  • The UI being rendered (i.e., the hierarchy of component instances and their most recent render output)
  • The values of any fields and properties in component instances
  • Data held in DI service instances that are scoped to the circuit

Occasionally, users may experience a temporary network connection loss, after which Blazor will attempt to reconnect them to their original circuit so they can continue.

@mikernet
mikernet / CopyOnWriteDictionary.cs
Last active November 18, 2023 03:34
Thread-Safe, Lock-Free, Append-Only, Copy-On-Write Dictionary
using System;
using System.Collections;
using System.Collections.Generic;
using System.Diagnostics;
using System.Diagnostics.CodeAnalysis;
using System.Linq;
using System.Runtime.CompilerServices;
using System.Threading;
namespace Singulink.Collections
@Zhentar
Zhentar / Description.md
Last active March 1, 2024 04:35
I knew the Span<T> stuff was supposed to be fast, but this is ridiculous!

I have a program that parses data from both delimited files and Excel spreadsheets. I was trying out Span to speed up parsing the delimited files, but the ref struct restrictions mean I can't just hide the two different file formats behind an interface (without the small added overhead of repeatedly pulling Spans from Memory).

But what if I just wrote the ASCII strings from the Excel spreadsheets into a byte buffer, so that the same Span based parser could be used with both file formats? Seems like the overhead cost could be fairly low, and the Excel parsing is already intrinsically slower because of the decompression & XML parsing costs, so I'd be willing to take a small performance hit there for a big gain on the delimited files.

BenchmarkDotNet=v0.10.14, OS=Windows 10.0.17134
Intel Core i7-6600U CPU 2.60GHz (Skylake), 1 CPU, 4 logical and 2 physical cores
.NET Core SDK=2.1.301
[Host] : .NET Core 2.1.1 (CoreCLR 4.6.26606.02, CoreFX 4.6.26606.05), 64bit RyuJIT
@marcocitus
marcocitus / example.sql
Last active February 24, 2024 13:17
Safe incremental rollups on Postgres and Citus
-- Create the raw events table
CREATE TABLE page_views (
site_id int,
path text,
client_ip inet,
view_time timestamptz default now(),
view_id bigserial
);
-- Allow fast lookups of ranges of sequence IDs
using System;
using System.Threading.Channels;
using System.Threading.Tasks;
namespace ChannelsAreCool
{
//Disclaimer : I didn't actually run this code so it might not quite work.
//Feel free to complain or ask questions and i'll fix it.
public static class Example
{
# First, install all of the things
sudo su
apt-get update
apt-get install nginx
/etc/init.d/nginx start
apt-get install python-dev
apt-get install python-pip
apt-get install libjpeg-dev libpng-dev libtiff-dev libjasper-dev libgtk2.0-dev python-numpy python-pycurl libwebp-dev python-opencv libjpeg-progs
ln -s /usr/lib/x86_64-linux-gnu/libjpeg.so /usr/lib