ElasticSearch6.3.2------查询
进入Kibana的控制台:http://localhost:5601/app/kibana#/dev_tools/
先放一些测试数据进去,不想一条一条,就用bulk
注意格式

正确格式:

解释:ES期望的格式是:一行action(index, create, delete and update),一行source(也就是具体数据),这期间不能有多余的换行符,也就是说不要为了美观而把JSON格式化。
所以我插入的批量数据:执行即可
POST _bulk
{ "index" : { "_index" : "assay", "_type" : "article", "_id" : "1" }}
{"title" : "The fox and the lion 狐狸与狮子","post_date" : "2018-08-22T11:33:00+0800","content" : "When the fox first saw the lion he was terribly frightened. He ran away, and hid himself in the woods. The second time, however, he came near the lion. He stopped at a safe distance, and watched him pass by. The third time they came near one another.The fox went straight up to the lion, and stayed the whole day with him. He asked the lion how his family was, and when they would meet again."}
{ "index" : { "_index" : "assay", "_type" : "article", "_id" : "2" }}
{"title" : "A Child's Dream of a Star","post_date" : "2018-08-22T11:34:00+0800","content" : "There was once a child, and he strolled about a good deal, and thought of a number of things. He had a sister, who was a child too, and his constant companion. These two used to wonder all day long. They wondered at the beauty of the flowers; they wondered at the height and blueness of the sky; they wondered at the depth of the bright water; they wondered at the goodness and the power of God who made the lovely world."}
{ "index" : { "_index" : "assay", "_type" : "article", "_id" : "3" }}
{"title" : "The goose with the golden eggs","post_date" : "2018-08-22T11:35:00+0800","content" : "One morning a countryman went to his goose's nest, and saw a yellow and glittering1 egg there.He took the egg home. To his delight, he found that it was an egg of pure gold.Every morning the same thing occurred, and he soon became rich by selling his eggs. The countryman became more and more greedy. He wanted to get all the gold at once, so he killed the goose, when he looked inside, he found nothing in its body."}
{ "index" : { "_index" : "assay", "_type" : "article", "_id" : "4" }}
{"title" : "The Man Selling the Idol","post_date" : "2018-08-22T11:36:00+0800","content" : "A man carves an idol1 and takes it to the fair. No one buys it, so he begins to shout in order to canvass2 the customer. He says that this idol can bring in wealth and good luck. One man says to the seller, ‘Hello, My friend, if this is so, you should have the advantages that the idol can bring, why do you want to sell it? The seller says’, ‘What I want is that I can get cash in at once. The profit from the idol is so slow.’"}
{ "index" : { "_index" : "assay", "_type" : "article", "_id" : "5" }}
{"title" : "The Neighbour and the Snake","post_date" : "2018-08-23T11:33:00+0800","content" : "A snake, having made his hole close to the door of a cottage, inflicted1 a sever2 bite on the cottager's little son. So the child died.This caused much sorrow to his parents. The father decided3 to kill the snake. The next day, on its coming out of its hole for food, he took up his ax, but, making too much haste to hit the snake, missed its head, and cut off only the end of its tail.After some time the cottager, lest the snake should also bite him, tried to make peace, and placed some bread and salt beside its hole, the snake, slightly hissing4, said, ‘From now on there can be no peace between us; for whenever I see you I shall remember the loss of my tail, and whenever you see me you will be thinking of the death of your son.’"}
{ "index" : { "_index" : "assay", "_type" : "article", "_id" : "6" }}
{"title" : "The ass and a lap-dog","post_date" : "2018-08-24T11:33:00+0800","content" : "A man had an ass1 and lovely lap-dog.The ass was left in a stable, and had plenty of oats and day to eat, just as any other ass would. The lap-dog knew many tricks, and was a great favourite with his master.The master seldom went out to dine or to super without bringing him something nice to eat when he jumped about him in a pleasant manner. The ass, on the contrary, had much work to do, in grinding the corn-mill and in carrying wood from the forest or burdens from the farm,. He often co plained about his own hard fate, and contrasted it with the luxury and idleness of the lap-dog. At last one day he broke the chain and ran into his master's house, kicking up his heels without measuring and jumping as well as he could, he next tried to jump about his master as he had seen the lap-dog do, but he broke the table, and smashed all the dishes on it to pieces. He then tried to lick his master, and jumped upon his back."}
执行结果

接下来先去Management创建Index Pattern,然后去Discover查看一下数据,我们就可以步入正题了

正题:ES的查询
# 搜索特定索引
GET /assay/_search?q=title:dog
# 搜索索引下面的多个类型
GET /assay/article,book/_search?q=title:dog
# 搜索多个索引
GET /assay,twitter/_search?q=message:Elasticsearch
# 搜索所有索引
GET /_all/_search?q=out
# 搜索所有索引所有类型
GET /_search?q=jumped
带有请求体的搜索
# 搜索title字段含有dog的记录
GET /assay/_search
{
"query" : {
"term" : { "title" : "dog" }
}
}
分页查询
# 分页查询,from代表偏移量,size代表返回数量
GET /_search
{
"from" : , "size" : ,
"query" : {
"term" : { "content" : "the" }
}
}
注意,默认情况,from+size不能超过index.max_result_window的值(默认10000)
排序
按照post_time排序(asc升序,desc降序)
GET /assay/_search
{
"sort" : [
{ "post_date" : {"order" : "desc"}},
"_score"
],
"query" : {
"term" : { "content" : "the" }
}
}
按照mode排序(min-最小值,max-最大值,sum-总和,avg-平均值,median-中位数)
POST _bulk
{ "index" : { "_index" : "goods", "_type" : "sears", "_id" : "" }}
{"name" : "crab-螃蟹","price" : [,,],"post_date" : "2018-08-23T15:12:12+0800"}
{ "index" : { "_index" : "goods", "_type" : "sears", "_id" : "" }}
{"name" : "lobster-龙虾","price" : [,,],"post_date" : "2018-08-23T15:12:12+0800"}
{ "index" : { "_index" : "goods", "_type" : "sears", "_id" : "" }}
{"name" : "abalone-鲍鱼","price" : [,,],"post_date" : "2018-08-23T15:12:12+0800"} GET /goods/_search
{
"sort" : [
{ "price" : {"order" : "desc", "mode" : "avg"}}
]
}
这里我新加了几条数据,记得去Management里面配置好索引,然后查询,这个是按照价格的平均值降序排序的
返回数据列过滤
1. 不显示原始数据
GET /goods/_search
{
"_source": false,
"sort" : [
{ "price" : {"order" : "desc", "mode" : "avg"}}
]
}
2.显示部分
GET /goods/_search
{
"_source": ["name","price"],
"sort" : [
{ "price" : {"order" : "desc", "mode" : "avg"}}
]
}
3.包含&排除(更精确的控制)
GET /goods/_search
{
"_source": {
"includes": ["name"],
"excludes": "post_date"
},
"sort" : [
{ "price" : {"order" : "desc", "mode" : "avg"}}
]
}
脚本
GET /goods/_search
{
"query" : {
"match_all": {}
},
"script_fields": {
"test1": {
"script" : {
"lang": "painless",
"source": "doc['price'].value * 2"
}
},
"test2":{
"script" : {
"lang": "painless",
"source": "doc['price'].value * params.factor",
"params" : {
"factor" : 5.0
}
}
}
}
}
结果:

..
GET /goods/_search
{
"query" : {
"match_all": {}
},
"script_fields": {
"test1": {
"script": "params['_source']['name']"
}
}
}
结果:

注意:doc[''] 和 params['_source']都能获取文档字段,不同的是doc相对来说快一些,但是会占用更多的内存,但是总体来说推荐用doc
Post Filter
在聚合计算之后,post_filter用于搜索请求末尾的搜索匹配
先初始化一些数据
PUT /clothes
{
"mappings": {
"fashion": {
"properties": {
"brand": { "type": "keyword"},
"color": { "type": "keyword"},
"model": { "type": "keyword"}
}
}
}
}
POST _bulk
{ "index" : { "_index" : "clothes", "_type" : "fashion", "_id" : "" }}
{"brand" : "ANTA","color" : "red", "model": "S"}
{ "index" : { "_index" : "clothes", "_type" : "fashion", "_id" : "" }}
{"brand" : "ANTA","color" : "blue", "model": "M"}
{ "index" : { "_index" : "clothes", "_type" : "fashion", "_id" : "" }}
{"brand" : "ANTA","color" : "black", "model": "L"}
{ "index" : { "_index" : "clothes", "_type" : "fashion", "_id" : "" }}
{"brand" : "YISHION","color" : "red", "model": "S"}
{ "index" : { "_index" : "clothes", "_type" : "fashion", "_id" : "" }}
{"brand" : "YISHION","color" : "blue", "model": "M"}
{ "index" : { "_index" : "clothes", "_type" : "fashion", "_id" : "" }}
{"brand" : "YISHION","color" : "black", "model": "L"}
你可以查询以纯的红色衣服
GET /clothes/_search
{
"query": {
"bool": {
"filter": [
{ "term": { "color": "red" }},
{ "term": { "brand": "YISHION" }}
]
}
}
}
结果:

你可以
GET /clothes/_search
{
"query": {
"bool": {
"filter": [
{ "term": { "brand": "YISHION" }}
]
}
},
"aggs": {
"models": {
"terms": { "field": "model" }
}
}
}
结果:
{
"took": ,
"timed_out": false,
"_shards": {
"total": ,
"successful": ,
"skipped": ,
"failed":
},
"hits": {
"total": ,
"max_score": ,
"hits": [
{
"_index": "clothes",
"_type": "fashion",
"_id": "",
"_score": ,
"_source": {
"brand": "YISHION",
"color": "blue",
"model": "M"
}
},
{
"_index": "clothes",
"_type": "fashion",
"_id": "",
"_score": ,
"_source": {
"brand": "YISHION",
"color": "red",
"model": "S"
}
},
{
"_index": "clothes",
"_type": "fashion",
"_id": "",
"_score": ,
"_source": {
"brand": "YISHION",
"color": "black",
"model": "L"
}
}
]
},
"aggregations": {
"models": {
"doc_count_error_upper_bound": ,
"sum_other_doc_count": ,
"buckets": [
{
"key": "L",
"doc_count":
},
{
"key": "M",
"doc_count":
},
{
"key": "S",
"doc_count":
}
]
}
}
}
post_filter
GET /clothes/_search
{
"query": {
"bool": {
"filter": {
"term": { "brand": "YISHION" }
}
}
},
"aggs": {
"colors": {
"terms": { "field": "color" }
},
"color_red": {
"filter": {
"term": { "color": "red" }
},
"aggs": {
"models": {
"terms": { "field": "model" }
}
}
}
},
"post_filter": {
"term": { "color": "red" }
}
}
结果:
{
"took": ,
"timed_out": false,
"_shards": {
"total": ,
"successful": ,
"skipped": ,
"failed":
},
"hits": {
"total": ,
"max_score": ,
"hits": [
{
"_index": "clothes",
"_type": "fashion",
"_id": "",
"_score": ,
"_source": {
"brand": "YISHION",
"color": "red",
"model": "S"
}
}
]
},
"aggregations": {
"color_red": {
"doc_count": ,
"models": {
"doc_count_error_upper_bound": ,
"sum_other_doc_count": ,
"buckets": [
{
"key": "S",
"doc_count":
}
]
}
},
"colors": {
"doc_count_error_upper_bound": ,
"sum_other_doc_count": ,
"buckets": [
{
"key": "black",
"doc_count":
},
{
"key": "blue",
"doc_count":
},
{
"key": "red",
"doc_count":
}
]
}
}
}
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