Elasticsearch

• The Story of Elasticsearch

• The Components of Elasticsearch

• Documents

• Indexes

• Indexing Data

• Searching Data

• The Bulk API

• Introduction to the Search API

• URI Searches

• Request Body Searches

• The match Query

• The match phrase Query

• The range Query

• The Bool Query

• Source Filtering

• What is Analysis?

• Building an Inverted Index

• Analyzers

• Custom Analyzers

• Character Filters

• Tokenizers

• Token Filters

• Defining Analyzers

• Synonyms

• How to Choose an Analyzer

• Segments

• What is a Mapping?

• Dynamic Mappings

• Defining Explicit Mappings

• Adding Fields

• Dive Deeper into Mappings

• Specifying Analyzers

• Dynamic Templates

• Index Templates

• Filters

• Term Filters

• The match_phrase_prefix Query

• The multi_match_Query

• Fuzziness

• Highlighting

• More Like This

• Starting a Node

• Creating an Index

• Starting a Second Node

• Shards: Distribution of an Index

• Distributing Documents

• Replication

• Split Brain

• Other Node Types

• Development vs. Production Mode

• The Anatomy of a Search

• Relevance

• Boosting Relevance

• DFS Query-then-fetch

• Sorting Results

• Doc Values and Fielddata

• Pagination

• Scroll Searches

• Choosing a Search Type

• What are Aggregations?

• Types of Aggregations

• Buckets and Metrics

• Common Metrics Aggregations

• The range Aggregation

• The date range Aggregation

• The terms Aggregation

• Nesting Buckets

• Global Aggregation

• The missing Aggregation

• Histograms

• Date Histograms

• Percentiles

• Top Hits

• Significant Terms

• Sorting Buckets

• The Need for Data Modeling

• Denormalization

• The Need for Nested Types

• Nested Types

• Querying a Nested Type

• Sorting on a Nested Type

• The Nested Aggregation

• Parent/Child Types

• The has child Query

• The has_parent Query