8 Elasticsearch操作总结
# 精准度搜索
DELETE /article
POST /article/_bulk
{ "create": { "_id": "1"} }
{"title" : "elasticsearch" }
{ "create": { "_id": "2"} }
{"title" : "java"}
{ "create": { "_id": "3"} }
{"title" : "elasticsearch"}
{ "create": { "_id": "4"} }
{"title" : "hadoop"}
{ "create": { "_id": "5"} }
{"title" : "spark"}
GET /article/_search
{
"query": {
"bool": {
"should": [
{
"term": {
"title": {
"value": "java"
}
}
},
{
"term": {
"title": {
"value": "spark"
}
}
},
{
"term": {
"title": {
"value": "hadoop"
}
}
},
{
"term": {
"title": {
"value": "elasticsearch"
}
}
}
]
}
}
}
GET /article/_search
{
"query": {
"bool": {
"should": [
{
"term": {
"title": {
"value": "java",
"boost": 5
}
}
},
{
"term": {
"title": {
"value": "spark",
"boost": 4
}
}
},
{
"term": {
"title": {
"value": "hadoop",
"boost": 3
}
}
},
{
"term": {
"title": {
"value": "elasticsearch"
}
}
}
]
}
}
}
POST /article/_bulk
{ "update": { "_id": "1"} }
{ "doc" : {"content" : "i like to write best elasticsearch article"} }
{ "update": { "_id": "2"} }
{ "doc" : {"content" : "i think java is the best programming language"} }
{ "update": { "_id": "3"} }
{ "doc" : {"content" : "i am only an elasticsearch beginner"} }
{ "update": { "_id": "4"} }
{ "doc" : {"content" : "elasticsearch and hadoop are all very good solution, i am a beginner"} }
{ "update": { "_id": "5"} }
{ "doc" : {"content" : "spark is best big data solution based on scala ,an programming language similar to java"} }
GET /article/_search
{
"query": {
"bool": {
"should": [
{
"match": {
"title": "java solution"
}
},
{
"match": {
"content": "java solution"
}
}
]
}
}
}
GET /article/_search
{
"query": {
"dis_max": {
"queries": [
{
"match": {
"title": "java solution"
}
},
{
"match": {
"content": "java solution"
}
}
]
}
}
}
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# 数据建模
PUT /user/_doc/1
{
"name": "John Smith",
"email": "john@smith.com",
"dob": "1970/10/24"
}
PUT /blogpost/_doc/2
{
"title": "Relationships",
"body": "It's complicated...",
"user": 1
}
GET /user/_search
{
"query": {
"match": {
"name": "John"
}
}
}
GET /blogpost/_search
{
"query": {
"terms": {
"user": [
1
]
}
}
}
DELETE /user
DELETE /blogpost
PUT /user/_doc/1
{
"name": "John Smith",
"email": "john@smith.com",
"dob": "1970/10/24"
}
PUT /blogpost/_doc/2
{
"title": "Relationships",
"body": "It's complicated...",
"user": {
"id": 1,
"name": "John Smith"
}
}
GET /blogpost/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"title": "relationships"
}
},
{
"match": {
"user.name": "John"
}
}
]
}
}
}
PUT /drivers
{
"mappings": {
"properties": {
"driver": {
"type": "nested",
"properties": {
"last_name": {
"type": "text"
},
"vehicle": {
"type": "nested",
"properties": {
"make": {
"type": "text"
},
"model": {
"type": "text"
}
}
}
}
}
}
}
}
PUT /drivers/_doc/1
{
"driver": {
"last_name": "McQueen",
"vehicle": [
{
"make": "Powell Motors",
"model": "Canyonero"
},
{
"make": "Miller-Meteor",
"model": "Ecto-1"
}
]
}
}
PUT /drivers/_doc/2?refresh
{
"driver": {
"last_name": "Hudson",
"vehicle": [
{
"make": "Mifune",
"model": "Mach Five"
},
{
"make": "Miller-Meteor",
"model": "Ecto-1"
}
]
}
}
GET /drivers/_search
{
"query": {
"nested": {
"path": "driver",
"query": {
"nested": {
"path": "driver.vehicle",
"query": {
"bool": {
"must": [
{
"match": {
"driver.vehicle.make": "Powell Motors"
}
},
{
"match": {
"driver.vehicle.model": "Canyonero"
}
}
]
}
}
}
}
}
}
}
PUT my_index
{
"mappings": {
"properties": {
"my_join_field": {
"type": "join",
"relations": {
"question": "answer"
}
}
}
}
}
PUT /my_index/_doc/1?refresh
{
"text": "This is a question",
"my_join_field": {
"name": "question"
}
}
PUT /my_index/_doc/2?refresh
{
"text": "This is a question2",
"my_join_field": "question"
}
PUT /my_index/_doc/3?routing=1
{
"text": "This is an answer",
"my_join_field": {
"name": "answer",
"parent": "1"
}
}
POST my_index/_search
{
"query": {
"has_child": {
"type": "answer",
"query" : {
"match": {
"text" : "this"
}
}
}
}
}
GET my_index/_search
{
"query": {
"parent_id": {
"type": "answer",
"id": "1"
}
}
}
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# 索引重建
PUT /book/_alias/book_alias
GET /book/_search?scroll=1m
{
"query": {
"match_all": {}
},
"sort": ["_doc"],
"size": 1
}
GET /_search/scroll
{
"scroll": "1m",
"scroll_id" :
"DXF1ZXJ5QW5kRmV0Y2gBAAAAAAACEgUWQUx2NlhnOGNTTTZLQmpVa3RDank0Zw=="
}
POST _reindex
{
"source": {
"index": "book"
},
"dest": {
"index": "book_new"
}
}
GET /book/_mapping
GET /book_new/_mapping
GET /book_new/_search
{
"query":{
"match_all":{}
}
}
GET /book/_doc/2
GET /book_new/_doc/2
DELETE /book_new
POST _reindex
{
"source": {
"index": "book"
},
"dest": {
"index": "book_new",
"version_type": "external"
}
}
POST _reindex
{
"source": {
"index": "book"
},
"dest": {
"index": "book_new",
"op_type": "create"
}
}
POST _reindex
{
"conflicts": "proceed",
"source": {
"index": "book"
},
"dest": {
"index": "book_new",
"op_type": "create"
}xw
}
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# 文件操作
POST /lagou-company-index/_doc/1
{
"name":"百度",
"job":"小度用户运营经理",
"payment":"30000",
"logo":"http://www.lgstatic.com/thubnail_120x120/i/image/M00/21/3E/CgpFT1kVdze AJNbUAABJB7x9sm8374.png"
}
POST /lagou-company-index/_doc
{
"name":"百度",
"job":"算法工程师",
"payment":"50000",
"logo":"http://www.lgstatic.com/thubnail_120x120/i/image/M00/21/3E/CgpFT1kVdze AJNbUAABJB7x9sm4464.png"
}
GET /lagou-company-index/_doc/1
POST /lagou-company-index/_search
{
"query":{
"match_all":{}
}
}
POST /lagou-company-index/_doc/_search
{
"query":{
"match_all":{}
}
}
GET /lagou-company-index/_doc/1?_source=name,job
PUT /lagou-company-index/_doc/3
{
"name":"百度",
"job":"AI工程师",
"payment":"60000",
"logo":"http://www.lgstatic.com/thubnail_120x120/i/image/M00/21/3E/CgpFT1kVdzeAJNbUAABJB7x9sm4464.png"
}
GET /lagou-company-index/_doc/3
PUT /lagou-company-index/_doc/3
{
"job":"AI工程师"
}
POST /lagou-company-index/_update/3
{
"doc":{
"job":"AI工程师"
}
}
DELETE /lagou-company-index/_doc/3
POST /lagou-company-index/_delete_by_query
{
"query":{
"match":{
"name":"百度"
}
}
}
PUT /lagou-company-index/_doc/1/_create
{
"name":"百度",
"job":"小度用户运营经理",
"payment":"30000",
"logo":"http://www.lgstatic.com/thubnail_120x120/i/image/M00/21/3E/CgpFT1kVdzeAJNbUAABJB7x9sm8374.png"
}
GET /lagou-company-index/_doc/1
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# 映射高级
PUT /company-locations
{
"mappings": {
"properties": {
"name": {
"type": "text"
},
"location": {
"type": "geo_point"
}
}
}
}
PUT /company-locations/_doc/1
{
"name":"NetEase",
"location":"40.715,74.011"
}
PUT /company-locations/_doc/2
{
"name":"Sina",
"location":{
"lat":40.722,
"lon":73.989
}
}
PUT /company-locations/_doc/3
{
"name":"Baidu",
"location":[73.983,40.719]
}
GET /company-locations/_search
{
"query": {
"bool" : {
"must" : {
"match_all" : {}
},
"filter" : {
"geo_bounding_box" : {
"location" : {
"top_left" : {
"lat" : 40.73,
"lon" : 71.12
},
"bottom_right" : {
"lat" : 40.01,
"lon" : 74.0
}
}
}
}
}
}
}
GET /company-locations/_search
{
"query": {
"bool" : {
"must" : {
"match_all" : {}
},
"filter" : {
"geo_distance" : {
"distance" : "350km",
"location" : {
"lat" : 40,
"lon" : 70
}
}
}
}
}
}
PUT /user
{
"settings":{
"number_of_shards": 3,
"number_of_replicas": 0
},
"mappings":{
"dynamic": "strict",
"properties": {
"name": {"type": "text"},
"address": {"type": "object", "dynamic": true}
}
}
}
PUT /user/_doc/1
{
"name": "lisi",
"age": "20",
"address": {
"province": "beijing",
"city": "beijing"
}
}
DELETE /user
PUT /user
{
"settings":{
"number_of_shards": 3,
"number_of_replicas": 0
},
"mappings":{
"dynamic": true,
"properties": {
"name": {"type": "text"},
"address": {"type": "object", "dynamic": true}
}
}
}
PUT /my_index/_doc/1
{
"note":"2014-01-01"
}
GET /my_index/_mapping
PUT /my_index/_doc/2
{
"note":"loggout"
}
DELETE /my_index
PUT /my_index
{
"mappings": {
"date_detection": false
}
}
DELETE /my_index
PUT /my_index
{
"mappings": {
"dynamic_date_formats": "MM/dd/yyyy"
}
}
PUT /my_index/_doc/1
{ "note": "2014-01-01" }
PUT /my_index/_doc/1
{ "note": "01/01/2014" }
GET /my_index/_mapping
PUT /my_index2
{
"mappings": {
"dynamic_templates": [
{
"es": {
"match": "*_es",
"match_mapping_type": "string",
"mapping": {
"type": "text",
"analyzer": "spanish"
}
}
},
{
"en": {
"match": "*",
"match_mapping_type": "string",
"mapping": {
"type": "text",
"analyzer": "english"
}
}
}
]
}
}
GET /my_index2/_mapping
PUT /my_index2/_doc/1
{
"name_es":"testes",
"name":"es"
}
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# 智能搜索建议
PUT /blogs/
{
"mappings": {
"properties": {
"body": {
"type": "text"
}
}
}
}
POST _bulk/?refresh=true
{ "index" : { "_index" : "blogs" } }
{ "body": "Lucene is cool"}
{ "index" : { "_index" : "blogs" } }
{ "body": "Elasticsearch builds on top of lucene"}
{ "index" : { "_index" : "blogs" } }
{ "body": "Elasticsearch rocks"}
{ "index" : { "_index" : "blogs" } }
{ "body": "Elastic is the company behind ELK stack"}
{ "index" : { "_index" : "blogs" } }
{ "body": "elk rocks"}
{ "index" : { "_index" : "blogs"} }
{ "body": "elasticsearch is rock solid"}
POST _analyze
{
"text": [
"Lucene is cool",
"Elasticsearch builds on top of lucene",
"Elasticsearch rocks",
"Elastic is the company behind ELK stack",
"elk rocks",
"elasticsearch is rock solid"
]
}
POST /blogs/_search
{
"suggest": {
"my-suggestion": {
"text": "lucne rock",
"term": {
"suggest_mode": "missing",
"field": "body"
}
}
}
}
POST /blogs/_search
{
"suggest": {
"my-suggestion": {
"text": "lucne rocks",
"term": {
"suggest_mode": "popular",
"field": "body"
}
}
}
}
POST /blogs/_search
{
"suggest": {
"my-suggestion": {
"text": "lucne rocks",
"term": {
"suggest_mode": "always",
"field": "body"
}
}
}
}
POST /blogs/_search
{
"suggest": {
"my-suggestion": {
"text": "lucne and elasticsear rock",
"phrase": {
"field": "body",
"highlight": {
"pre_tag": "<em>",
"post_tag": "</em>"
}
}
}
}
}
PUT /blogs_completion/
{
"mappings": {
"properties": {
"body": {
"type": "completion"
}
}
}
}
POST _bulk/?refresh=true
{ "index" : { "_index" : "blogs_completion" } }
{ "body": "Lucene is cool"}
{ "index" : { "_index" : "blogs_completion" } }
{ "body": "Elasticsearch builds on top of lucene"}
{ "index" : { "_index" : "blogs_completion"} }
{ "body": "Elasticsearch rocks"}
{ "index" : { "_index" : "blogs_completion" } }
{ "body": "Elastic is the company behind ELK stack"}
{ "index" : { "_index" : "blogs_completion" } }
{ "body": "the elk stack rocks"}
{ "index" : { "_index" : "blogs_completion"} }
{ "body": "elasticsearch is rock solid"}
POST /blogs_completion/_search?pretty
{
"size": 0,
"suggest": {
"blog-suggest": {
"prefix": "elastic i",
"completion": {
"field": "body"
}
}
}
}
DELETE /blogs_completion
PUT /blogs_completion/
{
"mappings": {
"properties": {
"body": {
"type": "completion",
"analyzer":"english"
}
}
}
}
POST _bulk/?refresh=true
{ "index" : { "_index" : "blogs_completion" } }
{ "body": "Lucene is cool"}
{ "index" : { "_index" : "blogs_completion" } }
{ "body": "Elasticsearch builds on top of lucene"}
{ "index" : { "_index" : "blogs_completion"} }
{ "body": "Elasticsearch rocks"}
{ "index" : { "_index" : "blogs_completion" } }
{ "body": "Elastic is the company behind ELK stack"}
{ "index" : { "_index" : "blogs_completion" } }
{ "body": "the elk stack rocks"}
{ "index" : { "_index" : "blogs_completion"} }
{ "body": "elasticsearch is rock solid"}
POST /blogs_completion/_search?pretty
{
"size": 0,
"suggest": {
"blog-suggest": {
"prefix": "elastic i",
"completion": {
"field": "body"
}
}
}
}
POST _analyze
{
"text": "elasticsearch is rock solid",
"analyzer":"english"
}
POST _analyze
{
"text": "elasticsearch is rock solid"
}
POST /blogs_completion/_search?pretty
{
"size": 0,
"suggest": {
"blog-suggest": {
"prefix": "elastic is",
"completion": {
"field": "body"
}
}
}
}
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# DSL-分页高亮
GET /book/_search
{
"query": {
"term" : { "description" : "solr"}
}
}
GET /book/_search
{
"query": {
"constant_score" : {
"filter" : {
"term" : { "description" : "solr"}
},
"boost" : 1.2
}
}
}
POST /book/_search
{
"query": {
"bool" : {
"should" : {
"match" : { "description" : "java" }
},
"filter": {
"term" : { "name" : "solr" }
},
"must_not" : {
"range" : {
"price" : { "gte" : 200, "lte" : 300 }
}
},
"minimum_should_match" : 1,
"boost" : 1.0
}
}
}
POST /book/_search
{
"query": {
"match": {"description":"solr"}
}
}
POST /book/_search
{
"query": {
"match": {"description":"solr"}
},
"sort": [
{"_score": {"order": "asc"}}
]
}
POST /book/_search
{
"query": {
"match_all": {}
},
"sort": [
{"price": {"order": "desc"}}
]
}
POST /book/_search
{
"query":{
"match_all":{}
},
"sort": [
{ "price": { "order": "desc" }},
{ "timestamp": { "order": "desc" }}
]
}
POST /book/_search
{
"query": {
"match_all": {}
},
"sort": [
{"price": {"order": "desc"}}
],
"size": 2,
"from": 0
}
POST /book/_search
{
"query": {
"match_all": {}
},
"sort": [
{"price": {"order": "desc"}}
],
"size": 2,
"from": 2
}
POST /book/_search
{
"query": {
"match": {
"name": "elasticsearch"
}
},
"highlight": {
"pre_tags": "<font color='pink'>",
"post_tags": "</font>",
"fields": [{"name":{}}]
}
}
POST /book/_search
{
"query": {
"match": {
"name": "elasticsearch"
}
},
"highlight": {
"pre_tags": "<font color='pink'>",
"post_tags": "</font>",
"fields": [{"name":{}},{"description":{}}]
}
}
POST /book/_search
{
"query": {
"query_string" : {
"query" : "elasticsearch"
}
},
"highlight": {
"pre_tags": "<font color='pink'>",
"post_tags": "</font>",
"fields": [{"name":{}},{"description":{}}]
}
}
GET /_mget
{
"docs" : [
{
"_index" : "book",
"_id" : 2
},
{
"_index" : "lagou-company-index",
"_id" : 1
}
]
}
GET /book/_mget
{
"docs" : [
{
"_id" : 2
},
{
"_id" : 3
}
]
}
POST /_bulk
{ "delete": { "_index": "book", "_id": "1" }}
{ "create": { "_index": "book", "_id": "5" }}
{ "name": "test14","price":100.99 }
{ "update": { "_index": "book", "_id": "2"} }
{ "doc" : {"name" : "test"} }
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# DSL-match_all和full-text
POST /lagou-company-index/_search
{
"query":{
"match_all":{}
}
}
POST /company-locations/_search
{
"query":{
"match_all":{}
}
}
PUT /lagou-property
{
"settings": {},
"mappings": {
"properties": {
"title": {
"type": "text",
"analyzer": "ik_max_word"
},
"images": {
"type": "keyword"
},
"price": {
"type": "float"
}
}
}
}
POST /lagou-property/_doc/
{
"title": "小米电视4A",
"images": "http://image.lagou.com/12479122.jpg",
"price": 4288
}
POST /lagou-property/_doc/
{
"title": "小米手机",
"images": "http://image.lagou.com/12479622.jpg",
"price": 2699
}
POST /lagou-property/_doc/
{
"title": "华为手机",
"images": "http://image.lagou.com/12479922.jpg",
"price": 5699
}
POST /lagou-property/_search
{
"query":{
"match":{
"title":"小米电视4A"
}
}
}
POST /lagou-property/_search
{
"query": {
"match": {
"title": {
"query": "小米电视4A",
"operator": "and"
}
}
}
}
GET /lagou-property/_search
{
"query": {
"match_phrase": {
"title": "小米电视"
}
}
}
GET /lagou-property/_search
{
"query": {
"match_phrase": {
"title": "小米 4A"
}
}
}
GET /lagou-property/_search
{
"query": {
"match_phrase": {
"title": {
"query": "小米 4A",
"slop": 3
}
}
}
}
GET /lagou-property/_search
{
"query": {
"query_string" : {
"query" : "2699"
}
}
}
GET /lagou-property/_search
{
"query": {
"query_string" : {
"query" : "2699",
"default_field" : "title"
}
}
}
GET /lagou-property/_search
{
"query": {
"query_string" : {
"query" : "手机 OR 小米",
"default_field" : "title"
}
}
}
GET /lagou-property/_search
{
"query": {
"query_string" : {
"query" : "手机 AND 小米",
"default_field" : "title"
}
}
}
GET /lagou-property/_search
{
"query": {
"query_string" : {
"query" : "大米~1",
"default_field" : "title"
}
}
}
GET /lagou-property/_search
{
"query": {
"query_string" : {
"query":"2699",
"fields": [ "title","price"]
}
}
}
POST /lagou-property/_search
{
"query": {
"multi_match" : {
"query":"2699",
"fields": [ "title","price"]
}
}
}
POST /lagou-property/_search
{
"query": {
"multi_match" : {
"query":"2699",
"fields": [ "title","pr*"]
}
}
}
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# Filter-聚合操作
POST /book/_search
{
"query": {
"filtered": {
"query": {
"match_all": {}
},
"filter": {
"range": {
"price": {
"gte": 200,
"lte": 1000
}
}
}
}
}
}
POST /book/_search
{
"query": {
"bool": {
"must": {
"match_all": {}
},
"filter": {
"range": {
"price": {
"gte": 200,
"lte": 1000
}
}
}
}
}
}
GET /book/_search?explain
{
"query": {
"match1": {
"name": "test"
}
}
}
GET /book/_validate/query?explain
{
"query": {
"match1": {
"name": "test"
}
}
}
POST /book/_search
{
"size": 0,
"aggs": {
"max_price": {
"max": {
"field": "price"
}
}
}
}
POST /book/_count
{
"query": {
"range": {
"price" : {
"gt":100
}
}
}
}
POST /book/_search?size=0
{
"aggs": {
"price_count": {
"value_count": {
"field": "price"
}
}
}
}
POST /book/_search?size=0
{
"aggs": {
"_id_count": {
"cardinality": {
"field": "_id"
}
},
"price_count": {
"cardinality": {
"field": "price"
}
}
}
}
POST /book/_search?size=0
{
"aggs": {
"price_stats": {
"stats": {
"field": "price"
}
}
}
}
POST /book/_search?size=0
{
"aggs": {
"price_stats": {
"extended_stats": {
"field": "price"
}
}
}
}
POST /book/_search?size=0
{
"aggs": {
"price_percents": {
"percentiles": {
"field": "price"
}
}
}
}
POST /book/_search?size=0
{
"aggs": {
"price_percents": {
"percentiles": {
"field": "price",
"percents" : [75, 99, 99.9]
}
}
}
}
POST /book/_search?size=0
{
"aggs": {
"gge_perc_rank": {
"percentile_ranks": {
"field": "price",
"values": [
100,200
]
}
}
}
}
POST /book/_search
{
"size": 0,
"aggs": {
"group_by_price": {
"range": {
"field": "price",
"ranges": [
{
"from": 0,
"to": 200
},
{
"from": 200,
"to": 400
},
{
"from": 400,
"to": 1000
}
]
},
"aggs": {
"average_price": {
"avg": {
"field": "price"
}
}
}
}
}
}
POST /book/_search
{
"size": 0,
"aggs": {
"group_by_price": {
"range": {
"field": "price",
"ranges": [
{
"from": 0,
"to": 200
},
{
"from": 200,
"to": 400
},
{
"from": 400,
"to": 1000
}
]
},
"aggs": {
"average_price": {
"avg": {
"field": "price"
}
},
"count_price": {
"value_count": {
"field": "price"
}
}
}
}
}
}
POST /book/_search
{
"size": 0,
"aggs": {
"group_by_price": {
"range": {
"field": "price",
"ranges": [
{
"from": 0,
"to": 200
},
{
"from": 200,
"to": 400
},
{
"from": 400,
"to": 1000
}
]
},
"aggs": {
"average_price": {
"avg": {
"field": "price"
}
},
"having": {
"bucket_selector": {
"buckets_path": {
"avg_price": "average_price"
},
"script": {
"source": "params.avg_price >= 200 "
}
}
}
}
}
}
}
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# tem-level-queries
PUT /book
{
"settings": {},
"mappings" : {
"properties" : {
"description" : {
"type" : "text",
"analyzer" : "ik_max_word"
},
"name" : {
"type" : "text",
"analyzer" : "ik_max_word"
},
"price" : {
"type" : "float"
},
"timestamp" : {
"type" : "date",
"format" : "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"
}
}
}
}
PUT /book/_doc/1
{
"name": "lucene",
"description": "Lucene Core is a Java library providing powerful indexing and search features, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities. The PyLucene sub project provides Python bindings for Lucene Core. ",
"price":100.45,
"timestamp":"2020-08-21 19:11:35"
}
PUT /book/_doc/2
{
"name": "solr",
"description": "Solr is highly scalable, providing fully fault tolerant distributed indexing, search and analytics. It exposes Lucenes features through easy to use JSON/HTTP interfaces or native clients for Java and other languages.",
"price":320.45,
"timestamp":"2020-07-21 17:11:35"
}
PUT /book/_doc/3
{
"name": "Hadoop",
"description": "The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models.",
"price":620.45,
"timestamp":"2020-08-22 19:18:35"
}
PUT /book/_doc/4
{
"name": "ElasticSearch",
"description": "Elasticsearch是一个基于Lucene的搜索服务器。它提供了一个分布式多用户能力的全文搜索引擎，基于RESTful web接口。Elasticsearch是用Java语言开发的，并作为Apache许可条款下的开放源码发布，是一种流行的企业级搜索引擎。Elasticsearch用于云计算中，能够达到实时搜索，稳定，可靠，快速，安装使用方便。官方客户端在Java、.NET（C#）、PHP、Python、Apache Groovy、Ruby和许多其他语言中都是可用的。根据DB-Engines的排名显示，Elasticsearch是最受欢迎的企业搜索引擎，其次是Apache Solr，也是基于Lucene。",
"price":999.99,
"timestamp":"2020-08-15 10:11:35"
}
POST /book/_search
{
"query":{
"term":{
"name":"solr"
}
}
}
POST /book/_search
{
"query":{
"terms":{
"name":["solr","elasticsearch"]
}
}
}
GET /book/_search
{
"query": {
"range" : {
"price" : {
"gte" : 10,
"lte" : 200,
"boost" : 2.0
}
}
}
}
GET /book/_search
{
"query": {
"range" : {
"timestamp" : {
"gte" : "now-7d/d",
"lt" : "now/d"
}
}
}
}
GET book/_search
{
"query": {
"range" : {
"timestamp" : {
"gte": "18/06/2020",
"lte": "2021",
"format": "dd/MM/yyyy||yyyy"
}
}
}
}
GET /book/_search
{
"query": {
"exists" : { "field" : "price" }
}
}
POST /book/_search
{
"query":{
"prefix":{
"name":"so"
}
}
}
GET /book/_search
{
"query": {
"wildcard" : { "name" : "So*r" }
}
}
GET /book/_search
{
"query": {
"wildcard": {
"name": {
"value": "lu*",
"boost": 2
}
}
}
}
GET /book/_search
{
"query": {
"regexp":{
"name": "s.*"
}
}
}
GET /book/_search
{
"query": {
"regexp":{
"name": {
"value":"s.*",
"boost":1.2
}
}
}
}
GET /book/_search
{
"query": {
"fuzzy" : { "name" : "so" }
}
}
GET /book/_search
{
"query": {
"fuzzy" : {
"name" : {
"value": "so",
"boost": 1.0,
"fuzziness": 2
}
}
}
}
GET /book/_search
{
"query": {
"fuzzy" : {
"name" : {
"value": "sorl",
"boost": 1.0,
"fuzziness": 2
}
}
}
}
GET /book/_search
{
"query": {
"ids" : {
"values" : ["1", "3"]
}
}
}
POST /book/_search
{
"query":{
"terms":{
"_id":[1,3]
}
}
}
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上次更新: 2025/04/03, 11:07:08
