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‎src/main/resource/elasticsearch教程

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浏览器访问es server
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http://10.144.48.30:9200/_plugin/marvel/sense/
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0,创建数据：
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PUT /gome/employee/1
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{
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"first_name" : "li",
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"last_name" : "ming",
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"age" : 18,
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"about" : "I love play football",
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"interests": [ "sports", "music" ]
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}
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1,
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查询名字叫：
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GET /gome/employee/_search?q=last_name:liue
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2,查询名字叫：
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GET /gome/employee/_search
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{
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"query" : {
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"match" : {
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"last_name" : "yang"
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}
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}
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}
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3,年龄大于12岁，且名字叫“yang”：
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GET /gome/employee/_search
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{
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"query" : {
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"filtered" : {
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"filter" : {
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"range" : {
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"age" : { "gt" : 12 }
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}
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},
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"query" : {
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"match" : {
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"last_name" : "yang"
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}
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}
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}
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}
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}
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4，全文检索：
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GET /gome/employee/_search
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{
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"query" : {
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"match" : {
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"about" : "i to"
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}
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}
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}
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默认情况下，Elasticsearch根据结果相关性评分来对结果集进行排序，所谓的「结果相关性评分」就是文档与查询条件的匹配程度。很显然，排名第一的John Smith的about字段明确的写到“rock climbing”。
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但是为什么Jane Smith也会出现在结果里呢？原因是“rock”在她的abuot字段中被提及了。因为只有“rock”被提及而“climbing”没有，所以她的_score要低于John。
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这个例子很好的解释了Elasticsearch如何在各种文本字段中进行全文搜索，并且返回相关性最大的结果集。相关性(relevance)的概念在Elasticsearch中非常重要，而这个概念在传统关系型数据库中是不可想象的，因为传统数据库对记录的查询只有匹配或者不匹配。
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5,短语搜索：
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GET /gome/employee/_search
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{
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"query" : {
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"match_phrase" : {
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"about" : "rock albums"
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}
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}
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}
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6,高亮我们的搜索:
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GET /gome/employee/_search
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{
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"query" : {
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"match_phrase" : {
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"about" : "rock albums"
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}
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},
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"highlight": {
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"fields" : {
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"about" : {}
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}
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}
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}
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7，聚合我们的结果：
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GET /gome/employee/_search
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{
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"aggs": {
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"all_interests": {
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"terms": { "field": "interests" }
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}
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}
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}
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8，聚合功能：
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GET /gome/employee/_search
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{
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"query": {
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"match": {
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"last_name": "tao"
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}
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},
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"aggs": {
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"all_interests": {
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"terms": {
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"field": "interests"
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}
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}
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}
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}
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9，每种兴趣下职员的平均年龄：
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GET /gome/employee/_search
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{
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"aggs" : {
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"all_interests" : {
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"terms" : { "field" : "interests" },
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"aggs" : {
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"avg_age" : {
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"avg" : { "field" : "age" }
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}
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}
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}
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}
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}
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分布式集群：
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状态为啥都是yellow的。
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http://www.bjrbj.gov.cn/csibiz/indinfo/passwordSetAction!gerenreg1
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检查社保
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http://www.360doc.com/content/14/0119/22/15109633_346516210.shtml
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130534195504022645
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http://10.58.51.87:9201/_plugin/head/
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http://10.58.45.16:8810/overview/37
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http://10.58.22.2:9800/_plugin/head/
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http://search.gome.com.cn/cloud/test.jsp
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http://10.58.22.45:7003/gac/page/main/main.jsp
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{
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"query": {
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"bool": {
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"must": [
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{
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"query_string": {
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"default_field": "_all",
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"query": ""2015-11-27 15*""
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}
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}
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],
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"must_not": [ ],
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"should": [ ]
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}
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},
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"from": 0,
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"size": 10,
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"sort": [ ],
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"facets": { }
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}
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PUT /product/employee/1
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{
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"first_name" : "John",
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"last_name" : "Smith",
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"age" : 25,
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"about" : "I love to go rock climbing",
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"interests": [ "sports", "music" ]
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}
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PUT /product/employee/2
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{
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"first_name" : "Jane",
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"last_name" : "Smith",
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"age" : 32,
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"about" : "I like to collect rock albums",
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"interests": [ "music" ]
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}
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PUT /product/employee/3
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{
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"first_name" : "Douglas",
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"last_name" : "Fir",
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"age" : 35,
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"about": "I like to build cabinets",
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"interests": [ "forestry" ]
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}
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2，
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获得单个的商品：
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GET /product/employee/_search
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3，
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域搜索：GET /product/employee/_search?q=last_name:Smith
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4，
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DSL (Domain Specific Language 领域特定语言) 检索
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GET /product/employee/_search
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{
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"query" : {
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"match" : {
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"last_name" : "Smith"
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}
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}
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}
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5，
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出姓 Smith 的员工，但是我们还将 添加一个年龄大于30岁的限定条件，添加过滤器
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GET /product/employee/_search
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{
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"query" : {
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"filtered" : {
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"filter" : {
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"range" : {
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"age" : { "gt" : 30 }
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}
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},
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"query" : {
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"match" : {
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"last_name" : "Smith"
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}
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}
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}
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}
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}
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6，
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GET /product/employee/_search
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{
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"query" : {
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"match" : {
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"about" : "rock climbing"
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}
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}
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}
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7，match_phrase用法，精确匹配
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GET /product/employee/_search
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{
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"query" : {
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"match_phrase" : {
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"about" : "rock climbing"
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}
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}
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}
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8，高亮显示搜索结果
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GET /product/employee/_search
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{
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"query" : {
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"match_phrase" : {
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"about" : "rock climbing"
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}
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},
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"highlight": {
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"fields" : {
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"about" : {}
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}
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}
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}

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