SYMBOL

^ (caret)

_ (underscore)

? wildcard

• wildcard

& (ampersand) 1-grams

A

aggregations key algorithmic stemming _all field, 2^nd

Amazon S3 plugin ampersand (&) analyzed fields analyzed setting, 2^nd analyzer parameter Apache Flume

Apache Lucene

Apache ManifoldCF Apache Solr

application-side joins arc option

arrays

ascii folding token filter

B

best_compression value Bigdesk plugin bigrams bitsets, 2^nd bool filter bool query, 2^nd boolean type boost parameter boost_mode parameter

bottlenecks

checking cluster health

CPU monitoring

hot_threads API slow index log slow logs slow query log

thread pools

memory monitoring

avoiding swap

circuit breaker field-data cache filter and field cache heap size OS caches

store throttling bounding boxes breadth_first option bucket aggregations bulk indexing

C

_cache flag _cache setting cache thread pool type

caret ( ^ )

_cat API CentOS

character filtering child documents children aggregation circuit breaker, 2^nd closing indices cluster.name setting code plugins collect_mode setting compression parameter concurrency

count search type, 2^nd cURL

Cygwin

D

date type date_histogram aggregation

date_range aggregation, 2^nd DEB packages decay functions default analyzer

default mappings overview using with templates

denormalizing data

defined deleting members indexing overview pros and cons of querying representation of one-to-many relationship side to be denormalized

updating documents use cases for

many-to-many relationships one-to-many relationships

overview

depth_first option derivatives DF (document frequency) dictionaries

did-you-mean suggesters overview

phrase suggester

candidate generators excluding suggestions based on criteria

overview

using shingles field for scoring candidates

using smoothing models to score shingles

term suggester

choosing terms to be considered overview ranking suggestions directgenerator disable_dynamic option distance range aggregation distance_type parameter distributed scoring doc values, 2^nd doc_count_error_upper_bound value document frequency. _See DF. dynamic mapping dynamic scripting

E

eager setting edge ngrams, 2^nd ElasticHQ plugin

Elasticsearch Head Elasticsearch kopf elasticsearch-marvel plugin <em> tags email addresses env command exact matches exclude option execution modes execution setting exists filter, 2^nd explain flag explaining score extended_stats aggregation, 2^nd

F

facets fault detection field-data cache fields parameter field_value_factor function filter aggregation filter and field cache filtered queries fixed boost value fixed thread pool type flush thresholds forced allocation awareness force_source setting format option fragment_offset parameter fragment_size option, 2^nd from field

fuzzy queries

defined performance

G

GC (garbage collector), 2^nd geo polygon filter

geospatial data

adding distance to sort criteria

bounding boxes

filter and aggregate based on distance

distance range aggregation

distance range filter

overview

geohashes

geohash cell filter geohash grid aggregation overview points and distances between them

shape intersections

filtering overlapping shapes indexing shapes

overview

global aggregation Groovy, 2^nd, 3^rd grouping results gt parameter gte parameter

H

Hadoop HDFS plugin half rule has_child filter, 2^nd has_child query, 2^nd has_parent filter, 2^nd has_parent query, 2^nd Head plugin, 2^nd health command heap size

horizontal scaling

hot_threads API

hunspell token filter

I

_id field

ID, document, 2^nd

IDF (inverse document frequency), 2^nd, 3^rd, 4^th

include option include_in_all option include_in_parent option, 2^nd include_in_root option, 2^nd index key index.gc_deletes option index_analyzer option index_options setting, 2^nd inexact matches initializing_shards value inner_hits option, 2^nd --install parameter interval field inverse document frequency.

See IDF.

inverted indexing, 2^nd ISO 8601 standard

J

Java

JAVA_HOME environment variable

JRE (Java Runtime Environment)

JSON (JavaScript Object Notation), 2^nd

K

keyword analyzer keyword marker token filter keyword tokenizer Kibana

Kopf plugin, 2^nd kstem filter

L

-l parameter lang setting language-specific analyzers least recently used.

See LRU.

length token filter letter tokenizer limit token count token filter --list parameter log aggregation logical layout logs, startup Logstash, 2^nd lowercase tokenizer, 2^nd LRU (least recently used), 2^nd, 3^rd lt parameter

lte parameter

M

many-to-many relationships Marvel plugin, 2^nd master node match query and term filter match_all query, 2^nd matched_fields option match_phrase query, 2^nd match_phrase_prefix query Maven Central max_bytes_per_sec setting max_edits option max_errors option max_gram setting

MAX_MAP_COUNT variable max_merge_at_once setting max_merged_segment setting max_num_segments option MAX_OPEN_FILES variable max_score element max_shingle_size option max_term_freq option max_thread_count setting

memory

allocation of cardinality aggregation and limiting use by field data merge policies

MergeMappingException metadata _mget endpoint min_doc_count option, 2^nd min_doc_freq option min_gram setting minimum_master_nodes setting minimum_should_match setting min_shingle_size option missing aggregation

missing filter, 2^nd, 3^rd

MMapDirectory mmapfs value mode option

monitoring for bottlenecks

checking cluster health

CPU monitoring

hot_threads API slow index log slow logs slow query log

thread pools

memory monitoring

avoiding swap circuit breaker field-data cache filter and field cache heap size OS caches

store throttling

monitoring plugins

Bigdesk

ElasticHQ

Head

Kopf

Marvel

Sematext SPM

_mpercolate endpoint _msearch endpoint multi percolate API multi-bucket aggregations, 2^nd multicast discovery multiget API multi_match query, 2^nd, 3^rd multisearch API multi-tenancy must clause must_not clause

N

near-real-time nested aggregation nested filter, 2^nd nested query nested type

defined

mapping and indexing

enabling cross-object matches include_in_parent option

include_in_root option overview overview

pros and cons of using

searches and aggregations on nested documents

aggregating scores of nested objects getting which inner document matched nested and reverse nested aggregations nested query and filter nested sorting performance considerations searching in multiple levels of nesting

niofs value

NIOFSDirectory node.master setting

nodes

adding to cluster discovering fault detection multicast discovery selecting master node unicast discovery removing from cluster upgrading

minimizing recovery time for restart

overview

rolling restarts

no_match_size setting

NoSQL

not_analyzed setting, 2^nd, 3^rd number_of_fragments option, 2^nd numeric type

O

object type

defined mapping and indexing overview pros and cons of using searching in objects offset option Okapi BM25 scoring method one-to-many relationships, 2^nd one-to-one relationships, 2^nd

OOP (ordinary object pointers)

OpenJDK

optimistic concurrency control _optimize endpoint optimize_bbox filter or execution mode ordinary object pointers.

See OOP.

origin option

OutOfMemory exceptions OutOfMemoryError output_unigrams option over-sharding

P

paging performance _parent field, 2^nd, 3^rd

parent-child relationships

defined deleting documents indexing and retrieving mapping overview

pros and cons of using

searching in parent and child documents

children aggregation getting child documents in results has_child query and filter

has_parent query and filter overview updating child documents partial documents

path hierarchy tokenizer pattern analyzer pattern tokenizer, 2^nd percentile_ranks aggregation, 2^nd percentiles aggregation, 2^nd _percolate endpoint percolate_format setting pessimistic concurrency control

phrase queries

intensive scoring for performance phrase_prefix query physical layout Plain Highlighter plane option porter_stem filter post filter Postings Highlighter post_tags option precision parameter precision_threshold parameter prefix filter, 2^nd prefix queries, 2^nd, 3^rd prefix_length option pre_tags option

Q

query rescoring query_and_fetch vs. query_then_fetch methods query_cache parameter query_string query query_weight parameter queue_size parameter

R

random_score function range filter range query, 2^nd real_word_error_likelihood option Red Hat Linux refresh thresholds regexp filter registering queries regulatory compliance relocating_shards value --remove parameter replicas require_field_match setting rescore_query_weight parameter rescoring response, query

REST API

_restore command restoring from backups result grouping retry_on_conflict parameter reverse token filter reverse_nested aggregation rolling restarts routing values RoutingMissingException

RPM packages Rsyslog

S

scale option

scaling

adding nodes to cluster

aliases creating defined managing usefulness of

_cat API discovering nodes

fault detection multicast discovery selecting master node unicast discovery

removing nodes from cluster

routing documents

combining routing with aliases

configuring routing overview _search_shards API strategies

usefulness of strategies

maximizing throughput over-sharding

splitting data into indices and shards

upgrading nodes

minimizing recovery time for restart

overview

rolling restarts scan search type schema-free scope, search _score field

score_mode option, 2^nd

script filter script scoring scroll parameter _search endpoint search_analyzer option _search_shards API search_type setting

segments, Lucene

defined flush thresholds merge policies MMapDirectory NIOFSDirectory overview refresh thresholds store throttling segments_per_tier setting Sematext SPM plugin set command shard query cache shard-based allocation

shards

mapping types and segments and

splitting data into shingles, 2^nd shingles token filter should clause, 2^nd show_term_doc_count_error setting significant terms, 2^nd simple analyzer simple_query_string query site plugins size field sloppy_arc option slow index log slow logs slow query log smoothing models snapshot API snowball analyzer snowball filter Solr sort option _source field, 2^nd, 3^rd, 4^th split brain scenario standard analyzer standard token filter standard tokenizer startup logs statistics stats aggregation, 2^nd

stemming

algorithmic defined with dictionaries overriding stemming from token filter stop analyzer stop token filter store option store throttling, 2^nd string type Stupid Backoff algorithm suggest element

SUSE

synonym token filter

T

tags_schema setting term dictionary term frequency.

See TF. term frequency-inverse document frequency scoring method.

See TF-IDF scoring method. term query, 2^nd, 3^rd term statistics term vectors terms aggregation example using

overview significant terms terms to include in reply uses for terms filter _termvector endpoint testing

TF (term frequency), 2^nd, 3^rd, 4^th

TF-IDF (term frequency-inverse document frequency) scoring method, 2^nd, 3^rd, 4^th TFIDFSimilarity class thread pools throughput, maximizing time to live.

See TTL.

timestamps token indexing token key

tokenizers

breaking text into tokens keyword

letter lowercase path hierarchy pattern standard UAX URL email whitespace top_hits aggregation transactions support trigrams trim token filter truncate token filter

TTL (time to live) _type field typos

U

UAX URL email tokenizer

_uid field

unassignedshards count, 2^nd underscore ( ) unicast discovery unique token filter unregistering queries

_update endpoint

--url parameter URL-based requests

V

versioning version_type option vertical scaling visualization

W

wait_for_completion flag wait_for_merge setting warmers, 2^nd website addresses weight function whitespace analyzer whitespace tokenizer wildcard queries, 2^nd with_positions_offsets setting

Y

YAML (YAML Ain’t Markup Language)