Itay Shakury itaysk

## azure-search-export.sh
#! /bin/bash

# This script will export the json contents of an Azure Search instance into a JSON array.
# The script creates local files under the directory it is executed. The result is saved to a newly created local file.
# The script depends on `curl` and `jq` utilities.
# Arguments: $1 : azure search service name, $2: azure search index name, $3: azure search admin auth key.

set -e -o pipefail

serviceName="$1"

## get-kubectl-jq.sh
kubectl get po mypod -ojson | jq '.status.conditions[] | select(.type=="mycondition") | .status' -r

## legacy-query-oms
(ResourceGroup=<ResourceGroupName>) (Resource=<ResourceName>) (ActivityStatus=Succeeded)
| Sort TimeGenerated asc
| Top 1
| Select Caller

## vscode.itermcolors
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>Ansi 0 Color</key>
	<dict>
		<key>Alpha Component</key>
		<real>1</real>
		<key>Blue Component</key>
		<real>0.0</real>

## get-latest-version-dockerhub.sh
curl -L --fail "https://hub.docker.com/v2/repositories/${DOCKERHUB_REPO}/${DOCKERHUB_IMAGE}/tags/?page_size=1000" | \
	jq '.results | .[] | .name' -r | \
	sed 's/latest//' | \
	sort --version-sort | \
	tail -n 1

## prepull.yaml
###
# There's a newer version available here:
# https://github.com/itaysk/kube-imagepuller
# All future updates will be made there.
# Please also post you questions as issues on that repo instead of commenting here
###


apiVersion: apps/v1beta2
kind: DaemonSet

## index.js
var aadTenant = "yourTenant.onmicrosoft.com",
    spaClientId = "{xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx}", //AAD app client id for this app
    serviceClientId = "{xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx}", //AAD app client id for the service API app
var serviceUrl = "http://localhost:8081/api/doSomething"; // the service API endpoint

var authContext = new AuthenticationContext({
    instance: 'https://login.microsoftonline.com/',
    tenant: aadTenant,
    clientId: spaClientId,
    postLogoutRedirectUri: window.location.origin,

## spark-avro-json-sample.py
from pyspark.sql import SparkSession
spark = SparkSession \
    .builder \
    .appName("spark-avro-json-sample") \
    .config('spark.hadoop.avro.mapred.ignore.inputs.without.extension', 'false') \
    .getOrCreate()

#storage->avro
avroDf = spark.read.format("com.databricks.spark.avro").load(in_path)

## azure_batch_quick_start.py
import os
import azure.batch.batch_service_client as batch
import azure.batch.batch_auth as batchauth
import azure.batch.models as batchmodels

#---------------------parameters---------------------#
#--------------this is the part you edit-------------#

batch_account_name = "<your batch account name here>"
batch_account_url = "<your batch account url here>"

## multi_request_retry.js
//demonstrates how to submit multiple http requests, while making sure each is resilient to transient errors using retries

var Promise = require('bluebird');
var rp = require('request-promise');
var retry = require('bluebird-retry');

var createPromise = function(i) {
	return retry(function () {
            return rp('http://localhost:8000?q='+i).promise();
        }, {