afreeland

public class ExpressionBuilder
    {
        // Define some of our default filtering options
        private static MethodInfo containsMethod = typeof(string).GetMethod("Contains", new[] { typeof(string) });
        private static MethodInfo startsWithMethod = typeof(string).GetMethod("StartsWith", new[] { typeof(string) });
        private static MethodInfo endsWithMethod = typeof(string).GetMethod("EndsWith", new[] { typeof(string) });

        public static Expression<Func<T, bool>> GetExpression<T>(List<GridHelper.Filter> filters)
        {
            // No filters passed in #KickIT

mcnkbr

using System;
using System.Collections.Generic;
using System.Data.Entity;
using System.Linq;
using System.Linq.Expressions;
using Common.Extensions;
using AutoMapper;

namespace Repository
{

fntlnz

Create Root CA (Done once)

Create Root Key

Attention: this is the key used to sign the certificate requests, anyone holding this can sign certificates on your behalf. So keep it in a safe place!

openssl genrsa -des3 -out rootCA.key 4096

KeithYeh

How to create a self-signed SSL Certificate with SubjectAltName(SAN)

After Chrome 58, self-signed certificate without SAN is not valid anymore.

Step 1: Generate a Private Key

openssl genrsa -des3 -out example.com.key 2048

Step 2: Generate a CSR (Certificate Signing Request)

dvirsky

RediSearch Aggregation Engine

Main Idea

RediSearch can already index and retrieve large amounts of documents really fast. This is a proposal to allow aggregations on top of that - i.e to enable extracting statitstics and insights from data stored in Redis using RediSearch.

The idea is to perform a search on the RS index, load properties from the fetched documents, and perform calculations based on them - using grouping, sorting, and projection functions. These are composed as a pipeline, and reentrant.

Internally, the aggregation engine uses the same mechanism that loads normal search results (the result processor chain), only using a different set of result processors, which ultimately build result objects from the pipeline. If a normal search processing pipeline looks like filter -> score -> sort -> load documents -> serialize, an aggregation pipeline would look like: filter -> load properties -> group -> reduce -> project -> sort -> serialize.

tavinus

#!/bin/sh

#######################################################
#
# Edits the proxmox Subscription file to make it
# think that it has a Subscription.
#
# Will disable the annoying login message about
# missing subscription.
#

rkkoszewski

THIS ARE MY NOTES OF BUILDING AN INSTALLING XORGXRDP AND XRDP WITH GPU ACCELERATION
TESTED ON DEBIAN 9.13

-- Build XorgXrdp with GPU acceleration ("script" - to be adjusted to your needs) : --

## << BUILD AND INSTALL SCRIPT START >> ##
#!/bin/bash
# Install Latest XRDP with XORGXRDP

# README