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A Cloud Guru

Define and Use Custom Elasticsearch Analyzers

Relevancy scoring in Elasticsearch is made possible in part by text analyzers. Elasticsearch ships with many analyzers to choose from but has also made it very easy to mix and match tokenizers, token filters, and character filters to create your own analyzer to meet specific text analysis requirements. By using or creating the best analyzer for you, you can greatly improve search results in Elasticsearch. In this hands-on lab, you are given the opportunity to exercise the following: * Create a custom analyzer based on the "standard" analyzer * Create a new analyzed field mapping with the custom analyzer * Reindex documents with the new analyzer to compare search behavior

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Path Info

Level

Advanced

Duration

1h 30m

Published

Jan 10, 2020

Challenge

Create the new index with the custom analyzer and text_entry field.

Use the Kibana console tool to execute the following:

PUT shakespeare_new
{
  "mappings": {
    "properties": {
      "line_id": {
        "type": "integer"
      },
      "line_number": {
        "type": "text",
        "fields": {
          "keyword": {
            "type": "keyword",
            "ignore_above": 256
          }
        }
      },
      "play_name": {
        "type": "keyword"
      },
      "speaker": {
        "type": "keyword"
      },
      "speech_number": {
        "type": "integer"
      },
      "text_entry": {
        "type": "text",
        "fields": {
          "keyword": {
            "type": "keyword",
            "ignore_above": 256
          },
          "case_insensitive": {
            "type": "text",
            "analyzer": "standard_custom"
          }
        }
      },
      "type": {
        "type": "text",
        "fields": {
          "keyword": {
            "type": "keyword",
            "ignore_above": 256
          }
        }
      }
    }
  },
  "settings": {
    "analysis": {
      "analyzer": {
        "standard_custom": {
          "type": "custom",
          "tokenizer": "standard"
        }
      }
    },
    "number_of_shards": 4,
    "number_of_replicas": 3
  }
}

Challenge

Reindex the data from shakespeare into shakespeare_new.
Use the Kibana console tool to execute the following:
```
POST _reindex
{
  "source": {
    "index": "shakespeare"
  },
  "dest": {
    "index": "shakespeare_new"
  }
}
```

Author

A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

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