An exercise to practice with the manipulation of indices in Elasticsearch.

elastic_exercise_index_manipulation

# GOAL: Create, update and delete indices while satisfying a given set of requirements
# INITIAL SETUP: (i) a running Elasticsearch cluster with at least one node and a Kibana instance, (ii) no index or index template that starts by `hamlet`
# Copy-paste the following instructions into your Kibana console, and work directly from there

# Create the index `hamlet-raw` with one primary shard and four replicas
# Add a document to `hamlet-raw`, so that the document (i) has id "1", (ii) has default type, (iii) has a field named `line` with value "To be, or not to be: that is the question"
# Update the document with id "1" by adding a field named `line_number` with value "3.1.64"
# Add a new document to `hamlet-raw`, so that the document (i) has no explicit id, (ii) has default type, (iii) has a field named `text_entry` with value "Whether tis nobler in the mind to suffer", (iv) has a field named `line_number` with value "3.1.66"
# Update the last document by setting the value of `line_number` to "3.1.65"
# In one request, update all documents in `hamlet-raw` by adding a new field named `speaker` with value "Hamlet"
# Update the document with id "1" by renaming the field `line` into `text_entry`
# Create the index `hamlet` and add some documents by running the following _bulk command
PUT hamlet/_doc/_bulk
{"index":{"_index":"hamlet","_id":0}}
{"line_number":"1.1.1","speaker":"BERNARDO","text_entry":"Whos there?"}
{"index":{"_index":"hamlet","_id":1}}
{"line_number":"1.1.2","speaker":"FRANCISCO","text_entry":"Nay, answer me: stand, and unfold yourself."}
{"index":{"_index":"hamlet","_id":2}}
{"line_number":"1.1.3","speaker":"BERNARDO","text_entry":"Long live the king!"}
{"index":{"_index":"hamlet","_id":3}}
{"line_number":"1.2.1","speaker":"KING CLAUDIUS","text_entry":"Though yet of Hamlet our dear brothers death"}
{"index":{"_index":"hamlet","_id":4}}
{"line_number":"1.2.2","speaker":"KING CLAUDIUS","text_entry":"The memory be green, and that it us befitted"}
{"index":{"_index":"hamlet","_id":5}}
{"line_number":"1.3.1","speaker":"LAERTES","text_entry":"My necessaries are embarkd: farewell:"}
{"index":{"_index":"hamlet","_id":6}}
{"line_number":"1.3.4","speaker":"LAERTES","text_entry":"But let me hear from you."}
{"index":{"_index":"hamlet","_id":7}}
{"line_number":"1.3.5","speaker":"OPHELIA","text_entry":"Do you doubt that?"}
{"index":{"_index":"hamlet","_id":8}}
{"line_number":"1.4.1","speaker":"HAMLET","text_entry":"The air bites shrewdly; it is very cold."}
{"index":{"_index":"hamlet","_id":9}}
{"line_number":"1.4.2","speaker":"HORATIO","text_entry":"It is a nipping and an eager air."}
{"index":{"_index":"hamlet","_id":10}}
{"line_number":"1.4.3","speaker":"HAMLET","text_entry":"What hour now?"}
{"index":{"_index":"hamlet","_id":11}}
{"line_number":"1.5.2","speaker":"Ghost","text_entry":"Mark me."}
{"index":{"_index":"hamlet","_id":12}}
{"line_number":"1.5.3","speaker":"HAMLET","text_entry":"I will."}
# Create a script named `set_is_hamlet` and save it into the cluster state. The script (i) adds a field named `is_hamlet` to each document, (ii) sets the field to "true" if the document has `speaker` equals to "HAMLET", (iii) sets the field to "false" otherwise
# Remove from `hamlet` the documents that have either "KING CLAUDIUS" or "LAERTES" as the value of `speaker`
# Delete all documents that start by "ham"