Index
A
- aggregation
- syntax / Aggregation syntax
- values, extracting / Extracting values
- aggregation framework
- aggregation results
- returning / Returning only aggregation results
- aggregations
- metrics / Introducing the aggregation framework
- buckets / Introducing the aggregation framework
- combining / Combining search, buckets, and metrics
- aggregation types
- value_count / Computing stats separately
- min / Computing stats separately
- max / Computing stats separately
- avg / Computing stats separately
- sum / Computing stats separately
- arrays
- about / Arrays
- attributes, core data types
- index / Configuring data types
- store / Configuring data types
- boost / Configuring data types
- null_value / Configuring data types
- attributes, string-based fields
- avg aggregation / Computing stats separately
B
- backup
- performing, snapshots API used / Backup using snapshot API
- backup mechanism
- implementing / Introducing backup and restore mechanisms
- basic HTTP authentication
- setting up / Setting up basic HTTP authentication
- basic operations, with Elasticsearch
- about / Basic operations with Elasticsearch
- index, creating / Creating an Index
- document, indexing / Indexing a document in Elasticsearch
- document, fetching / Fetching documents
- document, updating / Updating documents
- document, deleting / Deleting documents
- document existence, checking / Checking documents' existence
- basic parameters
- configuring / Configuring basic parameters
- basic queries
- Boolean model
- Boolean type field
- about / Boolean
- bool query
- about / Bool queries
- must / Bool queries
- should / Bool queries
- must_not / Bool queries
- filter / Bool queries
- boost / Bool queries
- minimum_should_match / Bool queries
- disable_coord / Bool queries
- bounding boxes
- about / Understanding bounding boxes
- using, with geo distance aggregation / Using bounding boxes with geo distance aggregation
- bucket aggregations
- about / Bucket aggregations
- buckets
- bulk create
- about / Bulk create
- Python example / Bulk create
- Java example / Bulk create
- bulk delete
- about / Bulk deleting
- Python example / Bulk deleting
- Java example / Bulk deleting
- bulk index
- about / Bulk indexing
- bulk processing
- practical considerations / Practical considerations for bulk processing
- BulkProcessor
- bulk update
- about / Bulk updating
- Python example / Bulk updating
C
- Centos
- Elasticsearch, installing on / Installing Elasticsearch on Centos through the RPM package
- character filters
- about / Document analysis
- cheaper bulk operations
- about / Cheaper bulk operations
- bulk create / Bulk create
- bulk index / Bulk indexing
- bulk update / Bulk updating
- bulk delete / Bulk deleting
- circle
- about / Circles
- client node
- about / Client node
- cloud
- references / Backup using snapshot API
- cluster
- about / Elasticsearch common terms
- node, adding in / Adding another node to the cluster
- creating / Creating a cluster
- scaling / Scaling your clusters, When to scale, How to scale
- snapshot, restoring to / Restoring to a different cluster
- common terms, Elasticsearch
- node / Elasticsearch common terms
- cluster / Elasticsearch common terms
- document / Elasticsearch common terms
- index / Elasticsearch common terms
- doc type / Elasticsearch common terms
- shard / Elasticsearch common terms
- replica / Elasticsearch common terms
- complete document
- fetching / Get a complete document
- compound queries
- about / Understanding Query-DSL parameters, Compound queries
- bool query / Bool queries
- not query / Not queries
- core data types
- attributes / Configuring data types
- critical access
- securing / Securing critical access
- CRUD operations, with elasticsearch-py
- about / CRUD operations using elasticsearch-py, Performing CRUD operations
- request timeouts / Request timeouts
- global timeout / Request timeouts
- per-request timeout / Request timeouts
- indexes, creating with settings / Creating indexes with settings and mappings
- indexes, creating with mappings / Creating indexes with settings and mappings
- documents, indexing / Indexing documents
- documents, retrieving / Retrieving documents
- documents, updating / Updating documents
- value of field, replacing / Replacing the value of a field completely
- value, appending in array / Appending a value in an array
- updates, with docs / Updates using doc
- document existence, checking / Checking document existence
- documents, deleting / Deleting a document
- CRUD operations, with Java
- about / CRUD operations using Java
- Elasticsearch connection / Connecting with Elasticsearch
- document, indexing / Indexing a document
- document, fetching / Fetching a document
- document, updating / Updating a document
- document, updating with doc / Updating a document using doc
- document, updating with script / Updating a document using script
- document, deleting / Deleting documents
- custom analyzers
- creating / Creating custom analyzers
- working / Putting custom analyzers into action
- custom scoring
- relevancy, controlling with / Controlling relevancy with custom scoring
D
- data
- sorting / Sorting your data
- data node
- about / Data node
- data pagination
- about / Data pagination
- with scoring / Pagination with scoring
- without scoring / Pagination without scoring
- data types
- about / Data types and index analysis options
- configuring / Configuring data types
- core types / Configuring data types
- complex data types / Configuring data types
- data types, Elasticsearch
- geo_point / Introducing geo-spatial data
- Date data type
- about / Date
- date histogram aggregation
- about / Date histogram aggregation
- building / Date histogram aggregation
- date histogram aggregation response
- building / Date histogram aggregation
- date range aggregation
- about / Date range aggregation
- building / Date range aggregation
- date range aggregation response
- parsing / Date range aggregation
- debian package
- Elasticsearch, installing on Ubuntu / Installing Elasticsearch on Ubuntu through Debian package
- decay functions, function_score query
- default analyzer
- changing / Changing a default analyzer
- DELETE requests
- restricting / Restricting DELETE requests
- Divergence from Randomness (DFR)
- doc type
- about / Elasticsearch common terms
- document
- about / Elasticsearch common terms
- indexing, in Elasticsearch / Indexing a document in Elasticsearch
- fetching / Fetching documents
- complete document, fetching / Get a complete document
- part of document, fetching / Getting part of a document
- updating / Updating documents
- whole document, updating / Updating a whole document
- updating, partially / Updating documents partially
- deleting / Deleting documents
- existence, checking / Checking documents' existence
- document analysis
- about / Document analysis
- document metadata fields
- about / Document metadata fields
- _id / Document metadata fields
- _source / Document metadata fields
- _all / Document metadata fields
- _ttl / Document metadata fields
- dynamic / Document metadata fields
- document relationships
- considerations / Considerations for using document relationships
- document routing
- about / Document routing
- documents
- sorting, by field values / Sorting documents by field values
- scrolling, scan-scroll used / Scrolling and re-indexing documents using scan-scroll
- re-indexing, scan-scroll used / Scrolling and re-indexing documents using scan-scroll
- doc_values
- advantages / Memory pressure and implications
E
- ElasticSearch
- node types / Node types in Elasticsearch
- best practices, in production / Best Elasticsearch practices in production
- Elasticsearch
- about / Introducing Elasticsearch
- features / The primary features of Elasticsearch
- installing / Installing and configuring Elasticsearch
- configuring / Installing and configuring Elasticsearch
- installing, on Ubuntu / Installing Elasticsearch on Ubuntu through Debian package
- installing, on Centos / Installing Elasticsearch on Centos through the RPM package
- installation directory layout / Understanding the Elasticsearch installation directory layout
- Head plugin, installing for / Installing the Head plugin for Elasticsearch
- Sense, installing for / Installing Sense for Elasticsearch
- document, indexing in / Indexing a document in Elasticsearch
- relational data, managing in / Managing relational data in Elasticsearch
- search types / Introducing search types in Elasticsearch
- out-of-the-box tools / The Elasticsearch out-of-the-box tools
- securing / Securing Elasticsearch
- elasticsearch-py
- reference link / CRUD operations using elasticsearch-py
- installing / Installing elasticsearch-py
- Elasticsearch mapping
- about / Elasticsearch mapping
- Elasticsearch plugins
- installing / Installing Elasticsearch plugins
- site plugins / Installing Elasticsearch plugins
- Java plugins / Installing Elasticsearch plugins
- installed plugins, checking / Checking for installed plugins
- Elasticsearch queries
- basic queries / Understanding Query-DSL parameters
- compound queries / Understanding Query-DSL parameters
- Elasticsearch structure
- relational databases / Understanding Elasticsearch structure with respect to relational databases
- Elasticsearch version
- upgrading / Upgrading Elasticsearch version
- endpoints
- restricting / Restricting endpoints
- envelope
- about / Envelops
- exact term search
- about / Text search
- exists queries
- about / Exists queries
F
- features, Elasticsearch
- distributed / The primary features of Elasticsearch
- High Availability / The primary features of Elasticsearch
- REST-based / The primary features of Elasticsearch
- powerful Query DSL / The primary features of Elasticsearch
- schemaless / The primary features of Elasticsearch
- field
- indexing / Indexing the same field in different ways
- fields
- sorting / Sorting on more than one field
- field values
- documents, sorting by / Sorting documents by field values
- filter-based aggregation response
- parsing / Filter-based aggregation
- filter based aggregation
- about / Filter-based aggregation
- building / Filter-based aggregation
- filters
- about / Missing queries
- Full-Text Search Queries
- about / Query types, Full-text search queries
- match_all / match_all
- match_query / match query
- multi match / multi match
- query_string / query_string
- full text search
- about / Text search
- examples / Text search
- function_score query
- about / The function_score query
- parameters / The function_score query
- weight function / weight
- field_value_factor / field_value_factor
- script_score / script_score
- decay functions / Decay functions - linear, exp, and gauss
G
- geo-aggregations
- about / Geo-aggregations
- geo-point data
- working with / Working with geo-point data
- indexing / Indexing geo-point data
- querying / Querying geo-point data
- sorting, by distance / Sorting by distance
- geo-point fields
- mapping / Mapping geo-point fields
- geo-shape data
- indexing / Indexing geo-shape data
- querying / Querying geo-shape data
- geo-shape fields
- mapping / Mappings geo-shape fields
- geo-shapes
- about / Geo-shapes
- point / Point
- linestring / Linestring
- circle / Circles
- polygon / Polygons
- envelope / Envelops
- geo-spatial data
- about / Introducing geo-spatial data
- geo bounding box query
- about / Geo bounding box query
- geo distance aggregation
- about / Geo distance aggregation
- bounding boxes, using with / Using bounding boxes with geo distance aggregation
- geo distance query
- about / Geo distance query
- geo distance range query
- about / Geo distance range query
- Geohashes
- versus Quadtree / Mappings geo-shape fields
H
- Hadoop plugins
- references / Backup using snapshot API
- has_child query
- about / has_child query
- has_parent query
- about / has_parent query
- HEAD plugin
- reference link / Installing the Head plugin for Elasticsearch
- Head plugin
- installing, for Elasticsearch / Installing the Head plugin for Elasticsearch
- histogram aggregation
- about / Histogram aggregation
- building / Histogram aggregation
- histogram aggregation response
- parsing / Histogram aggregation
I
- IDF (term)
- about / TF-IDF
- implications
- about / Memory pressure and implications
- index
- about / Elasticsearch common terms
- creating / Creating an Index
- mappings, inserting in / Putting mappings in an index
- building, with sample documents / An example: why defaults are not enough
- index analysis options
- index settings
- modifying, during restore / Changing index settings during restore
- indices
- renaming / Renaming indices
- Information Based (IB)
- installation directory layout, Elasticsearch / Understanding the Elasticsearch installation directory layout
- installing
- Elasticsearch, on Ubuntu / Installing Elasticsearch on Ubuntu through Debian package
- Elasticsearch, on Centos / Installing Elasticsearch on Centos through the RPM package
- Elasticsearch plugins / Installing Elasticsearch plugins
- Head plugin, for Elasticsearch / Installing the Head plugin for Elasticsearch
- Sense, for Elasticsearch / Installing Sense for Elasticsearch
- Pip / Installing Pip
- virtualenv / Installing virtualenv
- elasticsearch-py / Installing elasticsearch-py
- inverted indexes
- about / Inverted indexes
J
- Java plugins / Installing Elasticsearch plugins
- JSON
- about / What is JSON?
- JSON object
- example / What is JSON?
- JVM and OS dependencies, of Elasticsearch
K
- keyword analyzer
- about / Introducing Lucene analyzers
L
- language analyzer
- about / Introducing Lucene analyzers
- reference link / Introducing Lucene analyzers
- language plugin
- reference link / script_score
- linestring
- about / Linestring
- load balancing, Nginx
- about / Load balancing using Nginx
- reference link / Load balancing using Nginx
- Lucene
- Lucene analyzers
- about / Introducing Lucene analyzers
- standard analyzer / Introducing Lucene analyzers
- simple analyzer / Introducing Lucene analyzers
- whitespace analyzer / Introducing Lucene analyzers
- keyword analyzer / Introducing Lucene analyzers
- language analyzer / Introducing Lucene analyzers
M
- manual backups
- about / Manual backups
- manual restoration
- about / Manual restoration
- mappings
- inserting, in index / Putting mappings in an index
- viewing / Viewing mappings
- updating / Updating mappings
- master node
- about / Master node
- match query
- about / match query
- phrase search option / Phrase search
- match_all query / match_all
- max aggregation / Computing stats separately
- memory pressure
- about / Memory pressure and implications
- metric aggregations
- about / Metric aggregations
- single-value metric / Metric aggregations
- multi-value metric / Metric aggregations
- basic stats, computing / Computing basic stats
- combined stats, computing / Combined stats
- stats, computing separately / Computing stats separately
- extended stats, computing / Computing extended stats
- distinct counts, finding / Finding distinct counts
- metrics
- Metrics to Watch
- about / Metrics to watch
- CPU utilization / CPU utilization
- memory utilization / Memory utilization
- disk I/O utilization / Disk I/O utilization
- disk low utilization / Disk low watermark
- min aggregation / Computing stats separately
- missing queries
- about / Missing queries
- multi buckets
- about / Bucket aggregations
- multicasting discovery / Multicasting discovery
- multi get
- about / Multi get and multi search APIs, Multi get
- Python example / Multi get
- Java example / Multi get
- multilevel aggregation response
- parsing / Combining search, buckets, and metrics
- multi match query
- about / multi match
- multiple indices
- restoring / Restoring multiple indices
- multi search APIs
- about / Multi get and multi search APIs, Multi searches
- Python example / Multi searches
- Java example / Multi searches
- multivalued fields
- sorting / Sorting multivalued fields
N
- nested aggregations
- about / Nested aggregations
- syntax / Understanding nested aggregation syntax:
- nested data
- indexing / Indexing nested data
- nested field
- querying / Querying nested type data
- nested mappings
- creating / Creating nested mappings
- nested objects
- working with / Working with nested objects
- NFS drive
- about / Backup using snapshot API
- creating / Creating an NFS drive
- client machines, configuring / Configuring client machines
- NFS Exports
- about / Configuring the NFS host server
- NFS host server
- configuring / Configuring the NFS host server
- Nginx
- setting up / Setting up Nginx
- node
- about / Elasticsearch common terms
- adding, in cluster / Adding another node to the cluster
- node types, ElasticSearch
- about / Node types in Elasticsearch
- client node / Client node
- data node / Data node
- master node / Master node
- node upgradations
- without downtime / Node upgrades without downtime
- not query
- about / Not queries
- number data types
- about / Number
O
- objects
- about / Objects
- OpenStreetMap
P
- parameters, functions_score query
- boost / The function_score query
- max_boost / The function_score query
- boost_mode / The function_score query
- score_mode / The function_score query
- min_score / The function_score query
- parameters, Query-DSL
- parent-child documents
- indexing / Indexing parent-child documents
- querying / Querying parent-child documents
- has_child query / has_child query
- has_parent query / has_parent query
- parent-child mappings
- creating / Creating parent-child mappings
- parent-child relationships
- about / Parent-child relationships
- partial restore
- about / Partial restore
- Pip
- installing / Installing Pip
- point
- about / Point
- polygon
- about / Polygons
- practical considerations, for bulk processing
- about / Practical considerations for bulk processing
- multisearch / Practical considerations for bulk processing
- scan-scroll / Practical considerations for bulk processing
- bulk indexing / Practical considerations for bulk processing
- bulk updates / Practical considerations for bulk processing
- Python environments
- setting up / Setting up the environment
Q
- Quadtree
- versus Geohash / Mappings geo-shape fields
- queries
- about / Missing queries
- Query-DSL
- about / Elasticsearch Query-DSL
- syntax / Elasticsearch Query-DSL
- parameters / Understanding Query-DSL parameters
- Query DSL / The primary features of Elasticsearch
- query_string query
- about / query_string
R
- range aggregation
- about / Range aggregation
- building / Range aggregation
- range aggregation response
- parsing / Range aggregation
- range query
- about / Range queries
- relational data
- managing, in Elasticsearch / Managing relational data in Elasticsearch
- relational data, in document-oriented NoSQL world
- relevancy / Introducing relevant searches
- controlling, with custom scoring / Controlling relevancy with custom scoring
- relevant search
- about / Introducing relevant searches
- replica
- about / Elasticsearch common terms
- REST
- about / What is REST?
- restore
- index settings, modifying during / Changing index settings during restore
- restore mechanism
- implementing / Introducing backup and restore mechanisms
- reverse nested aggregation
- about / Reverse nested aggregation
- RPM package
- Elasticsearch, installing on Centos / Installing Elasticsearch on Centos through the RPM package
S
- scan-scroll
- used, for scrolling documents / Scrolling and re-indexing documents using scan-scroll
- used, for re-indexing documents / Scrolling and re-indexing documents using scan-scroll
- scripting
- reference link / Updating a document using script
- search
- about / Text search
- search database
- creating / Creating a search database
- search requests
- reference link / Parsing search responses
- search requests, with Java
- about / Search requests using Java
- search responses, parsing / Parsing search responses
- search requests, with Python
- about / Search requests using Python
- search types, Elasticsearch
- query_then_fetch / Introducing search types in Elasticsearch
- dfs_query_then_fetch / Introducing search types in Elasticsearch
- scan / Introducing search types in Elasticsearch
- Sense
- installing, for Elasticsearch / Installing Sense for Elasticsearch
- shard
- about / Elasticsearch common terms
- simple analyzer
- about / Introducing Lucene analyzers
- single buckets
- about / Bucket aggregations
- site plugins / Installing Elasticsearch plugins
- snapshot
- information, obtaining of / Getting snapshot information
- deleting / Deleting snapshots
- restoring / Restoring snapshots
- restoring, to cluster / Restoring to a different cluster
- snapshot, creating
- about / Creating a snapshot, Create your first snapshot
- repository path, registering / Registering the repository path
- shared file system repository, registering in Elasticsearch / Registering the shared file system repository in Elasticsearch
- snapshots API
- used, for performing backup / Backup using snapshot API
- split-brain
- standard analyzer
- about / Introducing Lucene analyzers
- string
- about / String
- string-based fields
- attributes / String
- string fields
- sorting / Sorting on string fields
- sum aggregation / Computing stats separately
T
- Term-Based Search Queries
- about / Term-based search queries
- term query / Term query
- terms query / Terms query
- range query / Range queries
- exists query / Exists queries
- missing queries / Missing queries
- TERM-BASED SEARCH QUERIES / Query types
- term query
- about / Term query
- terms aggregation / Terms aggregation
- terms query
- about / Terms query
- term vectors
- reference link / String
- text search
- about / Text search
- exact term search / Text search
- full text search / Text search
- TF (term)
- about / TF-IDF
- TF-IDF
- about / TF-IDF
- token filters
- about / Document analysis
- reference link / Document analysis
- tokenizers
- about / Document analysis
- reference link / Document analysis
- Twitter API access token keys
- reference link / Creating a search database
U
- Ubuntu
- Elasticsearch, installing on / Installing Elasticsearch on Ubuntu through Debian package
- unicasting discovery
- about / Unicasting discovery
- configuring / Configuring unicasting discovery
V
- Vector Space model
- Vector Space Model (VSM)
- about / TF-IDF
- virtualenv
- installing / Installing virtualenv
W
- whitespace analyzer
- about / Introducing Lucene analyzers
- whole document
- updating / Updating a whole document
Z
- Zen-Discovery
- about / Introducing Zen-Discovery
- multicasting discovery / Multicasting discovery
- unicasting discovery / Unicasting discovery
- Zookeeper
- about / Introducing Zen-Discovery