Sample code to run in kibana console to understand the basics of Elasticsearch 5

Elasticsearch n00b to n00b

# Check cluster health
GET /_cat/health?v

# Get indicies
GET /_cat/indices?v





# ================ ANALYSIS ================

# Whitespace tokenizer
GET _analyze
{
  "tokenizer": {
    "type": "standard"
  },
  "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}


# Standard tokenizer
GET _analyze
{
  "tokenizer": {
    "type": "standard"
  },
  "text": "The 2 QUICK / Brown-Foxes jumped over the lazy dog's bone."
}


# Whitespace tokenizer + lowercase filter
GET _analyze
{
  "tokenizer": {
    "type": "whitespace"
  },
  "filter": ["lowercase"],
  "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}


# Email: whitespace
GET _analyze
{
  "tokenizer": {
    "type": "whitespace"
  },
  "text": "My awesome email is: SOME.awesome_mail@my-company.com"
}


# Email: standard
GET _analyze
{
  "tokenizer": {
    "type": "standard"
  },
  "text": "My awesome email is: SOME.awesome_mail@my-company.com"
}


# Email: UAX URL Email
GET _analyze
{
  "tokenizer": {
    "type": "uax_url_email"
  },
  "text": "My awesome http://www.google.com  email is: SOME.awesome_mail@my-company.com"
}


# Email: UAX URL Email
GET _analyze
{
  "tokenizer": {
    "type": "uax_url_email"
  },
  "filter": ["lowercase"],
  "text": "My awesome email is: SOME.awesome_mail@my-company.com"
}


# Ngram tokenizer
GET _analyze
{
  "tokenizer": {
    "type": "ngram",
    "min_gram": 3,
    "max_gram": 15
  },
  "filter": ["lowercase"],
  "text": "Hello world!"
}


# Edge-Ngram tokenizer
GET _analyze
{
  "tokenizer": {
    "type": "edge_ngram",
    "min_gram": 3,
    "max_gram": 15
  },
  "filter": ["lowercase"],
  "text": "Hello world!"
}







# ================ SETTINGS & MAPPINGS ================

# Set up mappings, analizers and tokenizers
PUT jobs
{
  "settings": {
    "analysis": {
      "analyzer": {
        "ngram_analyzer": {
          "tokenizer": "ngram_tokenizer",
          "filter": [
            "lowercase"
          ]
        }
      },
      "tokenizer": {
        "ngram_tokenizer": {
          "type": "ngram",
          "min_gram": "3",
          "max_gram": "15"
        }
      }
    }
  },
  "mappings": {
    "job": {
      "dynamic": true,
      "properties": {
        "title": {
          "analyzer": "ngram_analyzer",
          "fields": {
            "sortable": {
              "type": "keyword"
            }
          },
          "type": "string"
        },
        "team": {
          "type": "object",
          "properties": {
            "name": {
              "type": "text",
              "analyzer": "ngram_analyzer",
              "fields": {
                "sortable": {
                  "type": "keyword"
                }
              }
            }
          }
        },
        "active": {
          "type": "boolean",
          "fields": {
            "sortable": {
              "type": "boolean"
            }
          }
        }
      }
    }
  }
}

# Get mappings
GET jobs/_mapping

# Inspect analyzers used in our mappings
GET jobs/_analyze
{
  "analyzer": "ngram_analyzer",
  "text": "Master of the Universe"
}

# Delete index
DELETE jobs

# Input seed data
POST jobs/job/_bulk
{"index": {}}
{"title": "Carpenter", "active": true, "team": {"name": "Handcrafts"}}
{"index": {}}
{"title": "Builder", "active": false, "team": {"name": "Handcrafts"}}
{"index": {}}
{"title": "Artist", "active": true, "team": {"name": "Handcrafts"}}
{"index": {}}
{"title": "Banker", "active": true, "team": {"name": "Corporate"}}
{"index": {}}
{"title": "Cargo logistics", "active": true, "team": {"name": "Corporate"}}
{"index": {}}
{"title": "Flower eater", "active": false, "team": {"name": "Hippie"}}
{"index": {}}
{"title": "Construction worker", "active": true, "team": {"name": "Workers"}}
{"index": {}}
{"title": "Social worker", "active": true, "team": {"name": "Workers"}}
{"index": {}}
{"title": "Terrible worker (New York) And Job with a very long long name that I don't know what to do", "active": false, "team": {"name": "Singer"}}
{"index": {}}
{"title": "SF - Position 1", "active": true, "team": {"name": "San Francisco"}}
{"index": {}}
{"title": "SF - Position 2", "active": true, "team": {"name": "San Francisco"}}
{"index": {}}
{"title": "SF - Position 3", "active": true, "team": {"name": "San Francisco"}}
{"index": {}}
{"title": "NY - Position 1", "active": true, "team": {"name": "New York"}}
{"index": {}}
{"title": "NY - Position 2", "active": true, "team": {"name": "New York"}}
{"index": {}}
{"title": "NY - Position 3", "active": true, "team": {"name": "New York"}}





# ================ SEARCH ! ================ 

# Get all
GET jobs/_search
{
  "query": {
    "match_all": {}
  }
}

# Get x amount of results
GET jobs/_search
{
  "size": 3,
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      }
    }
  }
}

# Multi match
GET jobs/_search
{
  "query": {
    "bool": {
      "must": {
        "multi_match": {
          "query": "posi",
          "fields": [
            "title",
            "team.name"
          ]
        }
      }
    }
  }
}

# Fuzzy
GET jobs/_search
{
  "query": {
    "bool": {
      "must": {
        "fuzzy": {
          "title": "wokrer"
        }
      }
    }
  }
}

# Highlight results
GET jobs/_search
{
  "query": {
    "bool": {
      "must": {
        "multi_match": {
          "query": "worker",
          "fields": [
            "title",
            "team.name"
          ]
        }
      }
    }
  },
  "highlight": {
    "number_of_fragments": 0,
    "fields": {
      "*": { "no_match_size": 100 }
    }
  }
}

# Sorting
GET jobs/_search
{
  "sort": [
    { "title.sortable": "asc" }
  ],
  "query": {
    "bool": {
      "must": {
        "match_all": {}
      }
    }
  }
}

# Other...
# aggregations
# machine learning