cedar101

$installLocation = "$env:LocalAppData\Programs\PowerToys"

$tempDir = Join-Path ([System.IO.Path]::GetTempPath()) (New-Guid)
New-Item -ItemType Directory -Path $tempDir -Force | Out-Null
Push-Location $tempDir

$latestPowerToys = Invoke-WebRequest "https://api.github.com/repos/microsoft/PowerToys/releases/latest" | ConvertFrom-Json
$latestVersion = $latestPowerToys.tag_name.Substring(1)
$isInstalled = Test-Path "$installLocation\PowerToys.exe"
if ($isInstalled) {

cedar101

#!/usr/bin/env python
# -*- encoding: utf-8 -*-

from itertools import accumulate, groupby, islice, tee
from operator import itemgetter
from collections import deque
from functools import partial, wraps


def trace_iter(source):

cedar101

#!/usr/bin/env
#
# Requirements:
#  argparse==1.2.1
#  pymongo==2.1
#  redis==2.4.10

import redis
import pymongo
import argparse

cedar101

Why is there no such DataImportHandler thing in ElasticSearch? Uhm, well ... but because:

1. You should really consider your own scripts (be it jvm based, perl, ruby, php, nodejs/javascript) to feed ElasticSearch via bulk indexing: http://www.elasticsearch.org/guide/reference/java-api/bulk.html

2. There are two projects doing it already:

• http://code.google.com/p/sql-to-nosql-importer/
• https://github.com/Aconex/scrutineer (keeps DB in synch with ES or solr!)

cedar101

package ****.elasticsearch.index;

import java.io.IOException;
import java.util.ArrayList;
import java.util.Collection;
import java.util.List;
import java.util.Map;
import java.util.concurrent.atomic.AtomicInteger;

import org.apache.commons.logging.Log;

cedar101

#!/usr/bin/env perl

# Parameters supported:       
#                             
# config                      
# autoconf                    
#                             
# Magic markers:              
#%# family=auto               
#%# capabilities=autoconf     

cedar101

// 1) Lets start with the simplest query that you can run in
//    the head plugin for ElasticSearch located at the url:
//    http://localhost:9200/_plugin/head/
{
  "query": {
    "match_all": {}
  }
}

// 2) Before jumping into forming queries with the ES Query DSL