johann8384

    stages{
        stage('Linting') {
            parallel {
                stage('Chekov') {
                    steps {
                        script {
                            dir("${env.WORKSPACE}/terraform"){
                                sh "checkov --directory terraform/modules -o junitxml > $WORKSPACE/checkov.xml || true"
                            }
                        }

kazuple

# Starter pipeline
# Start with a minimal pipeline that you can customize to build and deploy your code.
# Add steps that build, run tests, deploy, and more:
# https://aka.ms/yaml

trigger:
- master

pool:
  vmImage: 'windows-latest'

giansalex

RUN apt update
RUN apt upgrade -y
RUN apt install -y apt-utils
RUN a2enmod rewrite
RUN apt install -y libmcrypt-dev
RUN apt install -y libicu-dev
RUN docker-php-ext-install -j$(nproc) intl
RUN apt-get install -y libfreetype6-dev libjpeg62-turbo-dev libpng12-dev
RUN docker-php-ext-configure gd --with-freetype-dir=/usr/include/ --with-jpeg-dir=/usr/include/ 

samklr

Introduction

This document describes sample process of implementing part of existing Dim_Instance ETL.

I took only Clound Block Storage source to simplify and speedup the process. I also ignnored creation of extended tables (specific for this particular ETL process). Below are code and final thoughts about possible Spark usage as primary ETL tool.

TL;DR

Implementation

Basic ETL implementation is really straightforward. The only real problem (I mean, really problem) is to find correct and comprehensive Mapping document (description what source fields go where).

arruw

[Authorize]
[Route("api/[controller]")]
public abstract class ApiController<T> : Controller where T : class, IEntity
{
    private IApplicationRepository<T> _repository;

    public ApiController(IApplicationRepository<T> repository)
    {
        _repository = repository;
    }

mlongoria

//list available DMVs
Select * from $SYSTEM.DBSCHEMA_TABLES where table_type = 'Schema' order by table_name

//Useful DMVs for 2016 SSAS Tabular Models
Select * from $SYSTEM.TMSCHEMA_ATTRIBUTE_HIERARCHY_STORAGES //distinct data count for each column
Select * from $SYSTEM.TMSCHEMA_ATTRIBUTE_HIERARCHIES  //ties hierarchy id to column
SELECT * from $SYSTEM.TMSCHEMA_COLUMN_STORAGES //has order by column, row count is inaccurate
Select * from $SYSTEM.TMSCHEMA_COLUMNS //column name, ID for table, data type, category, hidden, iskey, isunique, is nullable, summarize by, expression for calc columns, hierarchy id, refresh time, modify time. source provider type, display folder
SELECT * from $SYSTEM.TMSCHEMA_DATA_SOURCES //connection string, account, impersonation mode, name
Select * from $SYSTEM.TMSCHEMA_HIERARCHIES //hierarchy name, display folder

kulmam92

#######################
<#
.SYNOPSIS
Installs an SSIS package to a SQL Server store.
.DESCRIPTION
The Install-ISPackage script installs an Dtsx file to a SQL Server store using the command-line utility dtutil.
Works for 2005 and higher
.EXAMPLE
./install-ispackage.ps1 -DtsxFullName "C:\Users\Public\bin\SSIS\sqlpsx1.dtsx" -ServerInstance "Z001\SQL1" -PackageFullName "SQLPSX\sqlpsx1"
This command install the sqlpsx1.dtsx package to SQL Server instance Z001\SQL1 under the SQLPSX folder as sqlpsx1. If SQLPSX folder does not exist it will be created.

cweagans

# Up to date version can always be found at https://gist.github.com/cweagans/4e879a72985905e145df
VAGRANTFILE_API_VERSION = "2"
Vagrant.configure(VAGRANTFILE_API_VERSION) do |config|
  config.vm.box = "ubuntu/xenial64"
  config.vm.synced_folder ".", "/srv", type: "nfs"
  config.vm.network "private_network", ip: "192.168.205.142"
  config.vm.network "forwarded_port", guest: 80, host: 8085

  config.vm.provider "virtualbox" do |vb|
    vb.customize ["modifyvm", :id, "--memory", "1024"]

kevin-smets

Default

Powerlevel10k

akfish

#!/bin/sh

# Helper
safeRunCommand() {
    typeset cmd="$*"
    typeset ret_code

    echo cmd=$cmd
    eval $cmd
    ret_code=$?