ES 自己做的例子汇总
首先初始化数据
POST /forums/articles/_bulk
{ "index": { "_id": 1 }}
{ "articleID" : "XHDK-A-1293-#fJ3", "userID" : 1, "hidden": false, "postDate": "2017-01-01" }
{ "index": { "_id": 2 }}
{ "articleID" : "KDKE-B-9947-#kL5", "userID" : 1, "hidden": false, "postDate": "2017-01-02" }
{ "index": { "_id": 3 }}
{ "articleID" : "JODL-X-1937-#pV7", "userID" : 2, "hidden": false, "postDate": "2017-01-01" }
{ "index": { "_id": 4 }}
{ "articleID" : "QQPX-R-3956-#aD8", "userID" : 2, "hidden": true, "postDate": "2017-01-02" }
POST /forums/articles/_bulk
{ "index": { "_id": 5 }}
{ "articleID" : "XHDK-C-1293-#fJ3", "userID" : 2, "hidden": false, "postDate": "2017-02-01" }
{ "index": { "_id": 6 }}
{ "articleID" : "KDKE-D-9947-#kL5", "userID" : 3, "hidden": false, "postDate": "2017-02-02" }
{ "index": { "_id": 7 }}
{ "articleID" : "JODL-E-1937-#pV7", "userID" : 4, "hidden": false, "postDate": "2017-02-01" }
{ "index": { "_id": 8 }}
{ "articleID" : "QQPX-F-3956-#aD8", "userID" : 5, "hidden": true, "postDate": "2017-03-02" }
POST /forum/article/_bulk
{ "update": { "_id": "1"} }
{ "doc" : {"tag" : ["java", "hadoop"]} }
{ "update": { "_id": "2"} }
{ "doc" : {"tag" : ["java"]} }
{ "update": { "_id": "3"} }
{ "doc" : {"tag" : ["hadoop"]} }
{ "update": { "_id": "4"} }
{ "doc" : {"tag" : ["java", "elasticsearch"]} }
{ "update": { "_id": "5"} }
{ "doc" : {"tag" : ["java", "hadoop"]} }
{ "update": { "_id": "6"} }
{ "doc" : {"tag" : ["java","mysql"]} }
{ "update": { "_id": "7"} }
{ "doc" : {"tag" : ["hadoop"]} }
{ "update": { "_id": "8"} }
{ "doc" : {"tag" : ["java", "elasticsearch","mysql"]} }第一个简单的查询 查询postDate 在2017-01-01的帖子
GET /forums/articles/_search
{
"query": {
"constant_score": {
"filter": {
"bool": {
"must": [
{ "term": {
"postDate": "2017-01-01"
} }
]
}
},
"boost": 1.2
}
}
}第二个查询，查询查询postDate 在2017-01-01的帖子或者是用户userid=2发的帖子
POST /forums/articles/_search
{
"query": {
"constant_score": {
"filter": {
"bool": {
"should": [
{
"term": {
"postDate": "2017-01-01"
}
},
{
"term": {
"userID": 2
}
}
]
}
}
}
}
}
第三个查询，查询用户userid=2 在2017-01-01和2017-01-01发的帖子
POST /forums/articles/_search
{
"query": {
"constant_score": {
"filter": {
"bool": {
"must": {
"term": {
"userID": 2
}
},
"should": [
{
"term": {
"postDate": "2017-01-01"
}
},
{
"term": {
"postDate": "2017-01-02"
}
}
]
}
}
}
}
}第4个需求 查询tag中包含java和hadoop的文章
POST /forums/articles/_search
{
"query": {
"constant_score": {
"filter": {
"bool": {
"must": [
{
"terms": {
"tag": [
"java",
"hadoop"
]
}
}
]
}
}
}
}
}第5个需求，我们要查询tag只是java的数据
这时原有数据如果统计的话比较麻烦，我们更新一下原有数据，添加一个新的字段tag_cnt用来表示tag数量，这样只需要查tag中含有java并且tag_cnt=1的数据即可。
POST /forums/articles/_search
{
"query": {
"constant_score": {
"filter": {
"bool": {
"must": [
{
"term": {
"tag_cnt": 1
}
},
{
"term": {
"tag": "java"
}
}
]
}
}
}
}
}第6个需求 添加了字段view_cnt用来表示访问次数，查询访问次数在40到80的文章并且发帖日期在2017年2月1日后
POST /forums/articles/_search
{
"query": {
"constant_score": {
"filter": {
"bool": {
"must": [
{
"range": {
"view_cnt": {
"gte": 40,
"lte": 80
}
}
},
{
"range": {
"postDate": {
"gte": "2017-02-01"
}
}
}
]
}
}
}
}
}postDate": {
"gte": "2017-01-01||+30d"
}上面这种是针对日期类型的一种用法。
第7个需求：查询title中多个关键词的情况，比如java hadoop mysql 或者elasticsearch中出现3次的
GET /forums/articles/_search
{
"query": {
"bool": {
"should": [
{"match": {
"title": "java"
}},
{"match": {
"title": "elasticsearch"
}},
{
"match": {
"title": "hadoop"
}
},
{"match": {
"title": "mysql"
}}
],
"minimum_should_match": 3
}
}
}boost 可以进行细粒度的权重控制。
muti_query的例子，先更新数据
POST /forums/articles/_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"} }按单个字段的结果优先排序
POST /forums/articles/_search
{
"query": {
"dis_max": {
"queries": [
{
"match": {
"title": "java solution"
}
},
{
"match": {
"content": "java solution"
}
}
]
}
}
}加入字段权重 同时加入 tie_breaker进行score分值折中 ，title权重为2
POST /forums/articles/_search
{
"query": {
"dis_max": {
"queries": [
{
"match": {
"title": { "query": "java solution",
"minimum_should_match": "50%",
"boost" : 2
}
}
},
{
"match": {
"content": "java solution"
}
}
],
"tie_breaker": 0.7
}
}
}cross_fields的
POST /forums/articles/_search
{
"query": {
"multi_match": {
"query": "Peter Smith",
"type": "cross_fields",
"operator" : "and",
"fields": [
"new_author_first_name",
"new_author_last_name"
]
}
}
}