Introduction to search engines

• General (Needs, uses, key features of search engines)
• Process of implementing a search engine
• Panorama of open source search solutions

Get started with Elasticsearch

• Principles of cluster operation
• Notions of node, index, partitioning, document ...
• Installation
• Configuration
• REST API overview
• First indexing
• First search

Indexing documents

• Design of the index and its documents
• Index or delete documents with the Rest API
• Mass indexing
• Optimistic version and management of the competition
• Presentation of Lucene storage and refresh
• Other features (routing, consistency, child document, ...)

Mapping

• Definition and role of mapping
• Field types
• Preset fields
• Metadata of an Index

Text analysis and extraction

• The basis of extraction and text analysis
  • Analyzers
  • Char filters
  • Tokenizers
  • Token Filters
• Configuration and use of predefined or customized Analyzers
• Text analysis verification API
• Use case
  • Deleting words
  • Extraction of email addresses and urls
  • Removing HTML tags in text
  • Text analysis in multiple languages
  • Rooting

Search for documents

• Find documents with the Rest API
• Results management
• Search queries
  • Match_all type query
  • Request of type query_string / simple_query_string
  • Match type query (and derivatives)
  • Term and terms query
  • Wildcard request
  • Range request
  • Fuzzy request
  • Request of type bool
  • Request of type exist / missing
  • Request of type and, or and not
  • Query of type _type and _id
• Different queries and filters
• Benefits of filters

Advanced search features

• Management of relevance and score
• Suggestions
• Autocompletion
• Highlighting
• Search Objects / Nested / Parent-Child
• More Like This
• Geospatial research

Clients and Java API

• Types of customers available
• Using the Java API
  • Index and search documents
  • Manage indexes
  • Manage mappings
• Integrate elasticsearch into a Java application (embedded, client node, client transport)

Cloud and Clustering

• Principle of functioning of an elasticsearch cluster
• Prevent split brains
• Configure an elasticsearch cluster
• Partitioning and scalability and volumetry of data
• Supervision of an elasticsearch cluster:
  • the health API
  • the state API
  • the stats API
  • the pending_task API
  • the API _nodes alias node info
  • the hot_threads API
  • supervision plugins
  • logs
  • the _cat API
  • Backup and restore an elasticsearch cluster

Advanced Features

• Other types of elasticsearch plugins
• Scripting
• Preheat your cluster
• Percolation