一，准备数据
1.创建索引
PUT /lagou-book/
2.创建mapping
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PUT /lagou-book/doc/_mapping
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{
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"properties":{
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"description":{
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"type":"text",
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"analyzer":"ik_max_word"
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},
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"name":{
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"type":"text",
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"analyzer":"ik_max_word"
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},
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"price":{
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"type":"float"
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},
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"timestamp":{
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"type":"date",
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"format":"yyyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"
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}
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}
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}
3.数据准备
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PUT /lagou-book/doc/1
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{
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"name": "lucene",
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"description": "Lucene Core is a Java library providing powerful indexing",
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"price":100.45,
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"timestamp":"2020-08-21 19:11:35"
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}
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-
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PUT /lagou-book/doc/2
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{
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"name": "solr",
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"description": "Solr is highly scalable providing fully fault tolerant",
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"price":320.45,
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"timestamp":"2020-07-21 17:11:35"
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}
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-
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PUT /lagou-book/doc/3
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{
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"name": "Hadoop",
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"description": "The Apache Hadoop solr software library is a framework ",
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"price":620.45,
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"timestamp":"2020-08-22 19:18:35"
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}
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-
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-
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PUT /lagou-book/doc/4
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{
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"name": "ElasticSearch",
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"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",
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"price":999.99,
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"timestamp":"2020-08-15 10:11:35"
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}
4.查询
（1）词条搜索
term 用户查询某个字段包含某些词的文档
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GET /lagou-book/_search
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{
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"query": {
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"term": {
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"name": "solr"
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}
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}
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}
(2) terms query 用户指定字段包含多个词语的文档
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GET lagou-book/_search
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{
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"query": {
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"terms": {
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"description": ["hadoop","elasticsearch"]
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}
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}
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}
（3）range query 范围搜索
gte:大于等于; gt:大于; lte:小于等于 lt:小于;
boost:查询权重。boost可以将某个搜索条件的权重加大，此时当这个搜索条件和另一个搜索条件计算score时，搜索条件权重更大的document,score也会更高，当然也就会优先反回来。
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GET lagou-book/_search
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{
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"query": {
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"range": {
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"price": {
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"gte": 100,
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"lte": 500
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}
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}
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}
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}
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GET /lagou-book/_search
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{
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"query": {
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"range": {
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"timestamp": {
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"gte": "18/08/2020",
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"lte": "01/01/2021",
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"format":"dd/MM/yyyy||yyyy"
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}
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}
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}
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}
（4）不为空搜索
查询指定字段不为空的文档
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GET /lagou-book/_search
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{
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"query": {
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"exists":
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{
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"field":"name"
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}
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}
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}
(5) ids集合搜索
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GET lagou-book/_search
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{
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"query": {
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"ids": {
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"type": "doc",
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"values": [1,3]
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}
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}
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}
（6）bool query布尔搜索
bool查询用bool操作来组合多个字段为一个查询字段，可用的字段：
must:必须满足
must:必须满足，但执行的是filter上下文，不参与、不影响评分
should:或
must_not：必须不满足
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GET lagou-book/_search
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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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"match": {
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"description": "solr"
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}
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}
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],
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"should": {
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"term": {
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"name": "hadoop"
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}
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},
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"must_not":{
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"range":{
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"price":{
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"gte":300,
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"lte":500
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}
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}
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}
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}
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}
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}
（7）排序
7.1 相关性评分排序
默认情况下，查询返回的结果是按照相关性排序的—最相关的文档排在前面。在es中，相关性由_score表示，默认排序是_score降序排。
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GET lagou-book/_search
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{
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"query": {
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"match": {
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"description": "solr"
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}
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},
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"sort": [
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{
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"_score": {
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"order": "asc"
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}
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}
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]
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}
7.2多个字段排序(先按照价格降序排，再按照时间戳生序排)
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GET lagou-book/_search
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{
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"query": {
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"match_all": {}
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},
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"sort": [
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{
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"price": {
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"order": "desc"
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},
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"timestamp":{
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"order": "asc"
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}
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}
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]
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}
（8）分页
size:每页显示多少条
form: 当前页起始索引, int start = (pageNum - 1) * size
(9) 高亮显示
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GET /lagou-book/_search
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{
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"query": {
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"match": {
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"description": "solr"
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}
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},
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"highlight": {
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"pre_tags": "<font color='pink'>",
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"post_tags": "</font>",
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"fields": [
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{
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"name": {}
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},
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{
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"description": {}
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}
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]
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}
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}
pre_tags ：前置标签；
post_tags：后置标签
fields：需要高亮的字段
(10)filter