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Labs

Reindex Elasticsearch Documents

Whether you need to change the mapping of an existing index or take a subset of data from one index and copy it to another, the `_reindex` API in Elasticsearch has you covered. With the `_reindex` API, you can take all or just a subset of data from one index and copy it to another. In this hands-on lab, you are given the opportunity to exercise the following: * Reindex a subset of data from one index to a new index * Create an ingest node pipeline * Transform data during the reindexing process

Labs

Path Info

Level
Clock icon Advanced
Duration
Clock icon 3h 0m
Published
Clock icon Jan 10, 2020

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Table of Contents

  1. Challenge

    Create the romeo_and_juliet index.

    Use the Kibana console tool to execute the following:

    PUT romeo_and_juliet
    {
      "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
              }
            }
          },
          "type": {
            "type": "text",
            "fields": {
              "keyword": {
                "type": "keyword",
                "ignore_above": 256
              }
            }
          }
        }
      },
      "settings": {
        "number_of_shards": 4,
        "number_of_replicas": 3
      }
    }
    
  2. Challenge

    Create the shakespeare-tokenizer ingest node pipeline.

    Use the Kibana console tool to execute the following:

    PUT _ingest/pipeline/shakespeare-tokenizer
    {
      "description": "Tokenizes the text_entry field into an array. Adds a word_count field. Removes the play_name field.",
      "processors": [
        {
          "split": {
            "field": "text_entry",
            "separator": "\\s+",
            "target_field": "word_array"
          }
        },
        {
          "script": {
            "lang": "painless",
            "source": "ctx.word_count = ctx.word_array.length"
          }
        },
        {
          "remove": {
            "field": "play_name"
          }
        }
      ]
    }
    
  3. Challenge

    Reindex the play "Romeo and Juliet".

    Use the Kibana console tool to execute the following:

    POST _reindex
    {
      "source": {
        "index": "shakespeare",
        "query": {
          "match": {
            "play_name": "Romeo and Juliet"
          }
        }
      },
      "dest": {
        "index": "romeo_and_juliet",
        "pipeline": "shakespeare-tokenizer"
      }
    }
    

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What's a lab?

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