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"
     }
   }