Index
A
- aggregation
- about / Aggregating your results
- terms aggregation / Terms aggregation
- algorithmic approach
- analysis / Data modeling in Elasticsearch
- analyzers
- about / Setting the analyzer
- setting / Setting the analyzer
- character filters / Setting the analyzer
- tokenizers / Setting the analyzer
- token filters / Setting the analyzer
- custom analyzers, creating / Creating your own analyzer
- readymade analyzers / Readymade analyzers
- analyzing
- about / Setting the analyzer
- autocomplete
- about / Autocomplete in Elasticsearch
- finite state automata (FST), using / How does FST help in faster autocompletes?
- characteristics / Hotel suggester using autocomplete
- implementing, in hotel suggester / Hotel suggester using autocomplete
B
- Boolean operations
- performing / Boolean operations
- boost query
C
- case-insensitive search
- enabling / A case-insensitive search
- category filter
- implementing / Implementing a category filter
- character filters
- about / Setting the analyzer, Types of character filters
- HTML stripper / Types of character filters
- mapping char filter / Types of character filters
- consistent pagination
- with scroll API / Using the scroll API for consistent pagination
- content match
- title match, prioritizing / Prioritizing a title match over content match
- curator
- about / The curator
- used, for shard allocation / Shard allocation using curator
- used, for closing indices / Opening and closing of indices
- used, for opening indices / Opening and closing of indices
- used, for optimizing indices / Optimization
- cURL
- about / Deploying Elasticsearch
- URL / Deploying Elasticsearch
- data, specifying in command line / Communicating with the Elasticsearch server
- data, specifying in file / Communicating with the Elasticsearch server
- custom analyzers
- creating / Creating your own analyzer
D
- data modeling
- about / Data modeling in Elasticsearch
- date range filter
- implementing / Filter your results based on a date range
- decay (Gauss) functionality
- about / The nearest hotel problem
- dictionary-based approach
- distance range aggregation
- doc ID
- documents
- searching / Searching your documents
- searching, with match query / A match query
- DSL (domain-specific language)
E
- e-mail search
- enabling, inside text / Effective e-mail or URL link search inside text
- Ebola outbreak records
- about / The Ebola outbreak
- sorting / The Ebola outbreak
- sorting, by boost match in title field over description / Boost match in the title field column over description
- sorting, by most recent medical journals / Most recently published medical journals
- sorting, by most recent Ebola report on healthy patients / The most recent Ebola report on healthy patients
- sorting, by certain symptoms over others / Boosting certain symptoms over others
- sorting, by medical journals for different interns / Random ordering of medical journals for different interns
- sorting, by medical journals from closest place to outbreak / Medical journals from the closest place to the Ebola outbreak
- sorting, from unhealthy places near Ebola outbreak / Medical journals from unhealthy places near the Ebola outbreak
- sorting, by healthy people from unhealthy locations / Healthy people from unhealthy locations have Ebola symptoms
- sorting, by order in which symptoms appeared / Relevancy based on the order in which the symptoms appeared
- EdgeNGram-based analyzer
- using / Substring matching
- Elasticsearch
- deploying / Deploying Elasticsearch
- about / Deploying Elasticsearch
- URL / Deploying Elasticsearch
- features / Communicating with the Elasticsearch server
- Elasticsearch server
- communicating with / Communicating with the Elasticsearch server
- replicas / Shards and replicas
- shards / Shards and replicas
- index-type mapping / Index-type mapping
- explain flag
- about / How to debug scoring
F
- filter
- and query, selecting between / Choosing between a query and a filter
- date range filter, implementing / Filter your results based on a date range
- prize range filter, implementing / Implementing a prize range filter
- category filter, implementing / Implementing a category filter
- implementing, in Elasticsearch / Implementation of filters in Elasticsearch
- filters
- finite state automata (FST)
- flight ticket analytics
- scenario / A flight ticket analytics scenario
- index creation / Index creation and mapping
- mapping creation / Index creation and mapping
- requisites / A case study on analytics requirements
- male and female distribution, of passengers / Male and female distribution of passengers
- ticket booking trends / Time-based patterns or trends in booking tickets
- correlation of departure and arrival of flights / Hottest arrival and departure points
- correlation of ticket type with time / The correlation of ticket type with time
- distribution of travel duration / Distribution of the travel duration
- most preferred hour, for booking tickets / The most preferred or hottest hour for booking tickets
- most preferred weekday, for travel / The most preferred or hottest weekday for travel
- correlation, checking for passenger's purpose of visit / The pattern between a passenger's purpose of visit, ticket type, and their sex
- correlation, checking for passenger's ticket type / The pattern between a passenger's purpose of visit, ticket type, and their sex
- correlation, checking for passenger's sex / The pattern between a passenger's purpose of visit, ticket type, and their sex
- function query
- function score query
H
- has_child query/the has_child filter
- has_parent filter/the has_parent query
- head UI
- about / The head UI explained
- highlighting
- using / Using the highlighting feature
- holy box of search
- about / The holy box of search
- field search / The field search
- number/date range search / The number/date range search
- phrase search / The phrase search
- wildcard search / The wildcard search
- Regexp search / The regexp search
- horizontal scaling
- about / Shards and replicas
- hotel suggester
- autocomplete, implementing / Hotel suggester using autocomplete
- HTML stripper
- about / Types of character filters
- hunspell filter
I
- index-type mapping
- about / Index-type mapping
- index creation
- default mappings, overriding / Overriding default mapping and settings in Elasticsearch
- default settings, overriding / Overriding default mapping and settings in Elasticsearch
- index template, creating / Index template creation
- template, deleting / Deleting a template
- template, retrieving / The GET template
- multiple templates, matching / Multiple matching of templates
- default settings, overriding for all indices / Overriding default settings for all indices
- mapping, overriding for all indices / Overriding mapping of all types under an index
- default field settings, overriding / Overriding default field settings
- multiple indices, restoring / Restoring multiple indices
K
- keyword tokenizer
- using / Setting the field as not_analyzed
- about / Using a lowercased analyzer
L
- length token filter
- about / Types of token filters
- lowercased analyzer
- using / Using a lowercased analyzer
- lowercase tokenizer
- about / Types of tokenizers
- Lucene
M
- mapping char filter
- about / Types of character filters
- match query
- used, for searching documents / A match query
- multifield match query / Multifield match query
- using / Boost match in the title field column over description
- metaphone analyzer
- about / Words with similar sounds
- multiple search
- implementing / Searching with multiple conditions
N
- nested types
- using / Nested types to the rescue
- limitations / Limitations on a query on nested fields
- news search portal
- about / News search
- creating / News search
O
- older indices
- closing / Closing older indices
- snapshot creation / Snapshot creation and restoration of indices
- restoration / Snapshot creation and restoration of indices
- repository, creating / Repository creation
P
- pagination
- about / Pagination
- head UI / The head UI explained
- parent child approach
- using / Using a parent-child approach
- has_parent filter/the has_parent query / The has_parent filter/the has_parent query
- has_child query/the has_child filter / The has_child query/the has_child filter
- top_children query / The top_children query
- phonetic analyzer
- used, for mapping similar sound words / Words with similar sounds
- URL / Words with similar sounds
- installing / Words with similar sounds
- phrase query
- used, for searching / Using phrase query to search
- reference link / Using phrase query to search
- prize range filter
- implementing / Implementing a prize range filter
- product-with-tags
- searching / The product-with-tags search problem
Q
- query
- and filter, selecting between / Choosing between a query and a filter
- question and answer forum
- schema, designing / Schema design to store questions and answers
- questions, searching based on criteria of answers / Searching questions based on a criteria of answers
- answers, searching based on criteria of questions / Searching answers based on a criteria of questions
- score of question, aggregating / The score of questions based on the score of each answer
- questions, filtering with more than four answers / Filtering questions with more than four answers
- best questions, displaying / Displaying the best questions and their accepted answers
- accepted answer, displaying / Displaying the best questions and their accepted answers
R
- RAID disks
- about / Shards and replicas
- random function
- readymade analyzers
- about / Readymade analyzers
- replicas
- about / Shards and replicas
- restaurant search
- creating / Restaurant search
- requisites / Restaurant search
- data modeling, for restaurants / Data modeling for restaurants
- nearest restaurants, searching / The nearest hotel problem
- within maximum distance / The maximum distance covered
- inside particular city limit / Inside the city limits
- distance, searching between user location and each restaurant / Distance values between the current point and each restaurant
- out of city limits / Restaurants out of city limits
- restaurant categorization, based on distance / Restaurant categorization based on distance
- restaurant categorization, based on nearness / Aggregating restaurants based on their nearness
S
- scaling
- about / Shards and replicas
- vertical scaling / Shards and replicas
- horizontal scaling / Shards and replicas
- scoring
- about / How scoring works
- debugging / How to debug scoring
- scoring, factors
- term frequency / How scoring works
- inverse document frequency (IDF) / How scoring works
- field length / How scoring works
- scroll API
- used, for consistent pagination / Using the scroll API for consistent pagination
- shards
- about / Shards and replicas
- filtering / Shard filtering
- allocating, curator used / Shard allocation using curator
- shingle tokenizer
- about / Types of tokenizers
- simple query string query
- about / Boolean operations
- snapshots
- creating / Snapshot creation
- creating, on specific indices / Snapshot creation on specific indices
- restoring / Restoring a snapshot
- snowball algorithm
- Snowball Analyzer
- about / Readymade analyzers
- sort
- implementing / Sorting results
- Stack Overflow
- stemmer token filter
- about / Types of token filters
- stemming
- used, for improving search experience / Improving the search experience using stemming
- algorithmic approach / Improving the search experience using stemming
- dictionary-based approach / Improving the search experience using stemming
- stop words
- about / Setting the analyzer
- stop word token filter
- about / Types of token filters
- substring matching
- with EdgeNGram-based analyzer / Substring matching
- synonym-aware search
- about / A synonym-aware search
- implementing / A synonym-aware search
T
- terms aggregation
- about / Terms aggregation, Terms aggregation giving weird results
- fields, setting / Setting the field as not_analyzed
- time-based data
- searching / Searching for time-based data
- archiving / Archiving time-based data
- shards, filtering / Shard filtering
- optimized API, running / Running the optimized API on indices where writing is done
- title match
- prioritizing, over content match / Prioritizing a title match over content match
- token filters
- about / Setting the analyzer
- stop word token filter / Types of token filters
- length token filter / Types of token filters
- stemmer token filter / Types of token filters
- tokenizers
- about / Setting the analyzer
- whitespace tokenizer / Types of tokenizers
- shingle tokenizer / Types of tokenizers
- lowercase tokenizer / Types of tokenizers
- tokens
- about / Index-type mapping
- top_children query
- about / The top_children query
U
- UAX Email URL tokenizer
- URL link search
- enabling, inside text / Effective e-mail or URL link search inside text
V
- vertical scaling
- about / Shards and replicas
W
- whitespace tokenizer
- about / Types of tokenizers
Z
- Zomato
