一、题目
创建一个搜索模版,要求 match_prase
查询,并且用指定的格式高亮,并排序
# 创建索引
PUT my_index
{
"settings": {
"number_of_replicas": 0,
"number_of_shards": 1
},
"mappings": {
"properties": {
"a":{
"type": "text"
},
"b":{
"type": "integer"
}
}
}
}
# 灌入数据
POST my_index/_bulk
{"index":{}}
{"a":"elasticsearch in action", "b":1}
{"index":{}}
{"a":"kibana in action", "b":2}
1.1 考点
- 搜索模板
- 高亮
- 排序
1.2 答案
# 创建索引模板
PUT _scripts/my_search_template
{
"script": {
"lang": "mustache",
"source": {
"query": {
"match_phrase": {
"a": "{{query_string}}"
}
},
"highlight": {
"fields": {
"a": {
"pre_tags": [
"<em>"
],
"post_tags": [
"</em>"
]
}
}
},
"sort": [
{
"b": "desc"
}
]
}
}
}
# 查询索引模板预览
POST _render/template
{
"id": "my_search_template",
"params": {
"query_string": "hello world"
}
}
# 查询结果验证
GET my_index/_search/template
{
"id": "my_search_template",
"params": {
"query_string": "kibana is action"
}
}
二、题目
查询索引 task1
,获取每个月 price
字段的平均值,并返回 2022 年的数据。
PUT task1
{
"settings": {
"number_of_replicas": 0,
"number_of_shards": 1
},
"mappings": {
"properties": {
"rq":{
"type": "date"
},
"price":{
"type": "integer"
}
},
"runtime":{
"price_flag":{
"type":"long",
"script":{
"source":
"""
if(doc['price'].value<=100 && doc['price'].value>0)
emit(-1);
if(doc['price'].value>100 && doc['price'].value<=200)
emit(1);
"""
}
}
}
}
}
POST task1/_bulk
{"index":{}}
{"rq":"2021-01-01","price":"50"}
{"index":{}}
{"rq":"2021-02-01","price":"150"}
{"index":{}}
{"rq":"2021-03-01","price":"250"}
{"index":{}}
{"rq":"2021-04-01","price":"50"}
{"index":{}}
{"rq":"2021-05-01","price":"250"}
{"index":{}}
{"rq":"2021-06-01","price":"150"}
{"index":{}}
{"rq":"2021-07-01","price":"50"}
{"index":{}}
{"rq":"2021-08-01","price":"450"}
{"index":{}}
{"rq":"2021-09-01","price":"80"}
{"index":{}}
{"rq":"2021-10-01","price":"550"}
{"index":{}}
{"rq":"2021-11-01","price":"50"}
{"index":{}}
{"rq":"2021-12-01","price":"500"}
{"index":{}}
{"rq":"2021-12-01","price":"50"}
{"index":{}}
{"rq":"2022-01-01","price":"200"}
2.1 考点
- 聚合
- 聚合后通过查询过滤结果(这个知识点真的是一顿好找)
2.2 答案
GET task1/_search
{
"aggs": {
"every_month": {
"date_histogram": {
"field": "rq",
"calendar_interval": "month"
},
"aggs": {
"avg_price": {
"avg": {
"field": "price"
}
}
}
}
},
"post_filter": {
"range": {
"rq": {
"gte": "2021-12-31",
"lte": "2023-01-01"
}
}
}
}