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require "bundler/inline"

gemfile(true) do
  source "https://rubygems.org"

  git_source(:github) { |repo| "https://github.com/#{repo}.git" }

  gem "rails", github: "rails/rails", branch: "6-0-stable"
  gem "sqlite3"
end

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require 'spec_helper'

describe "Checkout confirm page", type: :feature do
  include_context 'checkout setup'

  context 'when there is not enough stock at the default stock location' do
    context "when the product is not backorderable" do
      let(:user) { create(:user) }

      let(:order) { Spree::TestingSupport::OrderWalkthrough.up_to(:payment) }

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# unicorn_rails -c /data/github/current/config/unicorn.rb -E production -D

rails_env = ENV['RAILS_ENV'] || 'production'

# 16 workers and 1 master
worker_processes (rails_env == 'production' ? 16 : 4)

# Load rails+github.git into the master before forking workers
# for super-fast worker spawn times
preload_app true

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# Record insertion:
PUT /examples/movies/1
{
  "title": "Saving Private Ryan",
  "description": "A war movie set during the invasion of Normandy"
}


# see current mappings:
GET /examples/_mapping

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This second paragraph in total looks very nice. It even shows how to use the "suggest" feature standalone. However, whether or not it may be embedded and executed in the actual search, we do not know. (Note: we're still in operation "2d) search")

You can combine the suggester with a query. You can use the same term or even use different words for suggestion and query. Let's see an example:

GET /docs/doc/_search
{
  "query": {
    "match": {"title": "liitle neemo"}
  },

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outputs (results+metadata):

-weight-sorted list of matches:

{(ID, weight/relevance, distance)}

By id:

GET /docs/doc/_search 
{
 "query": {

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Fuzzy query

Basic fuzzy queries:

GET /docs/doc/_search
{
  "query": {
    "fuzzy": {
      "body": "robot"

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-OR (better), if feasible:

whole phrases instead of words for context-awareness

Let's see some possible solutions. This one will look for the three words in the body, but requires that only 2 of them are present:

GET /docs/doc/_search
{
  "query": {
    "match": {

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Search

I'm going to discuss the following part of your request:

d) search: search entries
        inputs:
          -entry set identifier
          -three word lists:
 -words that should match

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Introduction

Installation on the development machine

We're going to use our development machine in order to build the knowledge on elasticsearch and its usage. If you're on OSX like us, you can install elasticsearch with a simple brew install elasticsearch. Follow the instruction to start the server and to autostart the service at boot. If you are on a different platform you can go to http://www.elasticsearch.org/download/ and choose your preferred installation way.

Now we need to install the elasticsearch development console. Change directory to the elasticsearch installation (you can find it with which elasticsearch... in my case it's /usr/local) and install the marvel plugin: bin/plugin -i elasticsearch/marvel/latest