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

1. 搜索模板
2. 高亮
3. 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

1. 聚合
2. 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"}}}
}