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一、题目

.在集群上有一个索引 food_ingredient，搜索需要满足以下要求：

1. 三个字段 manufacturer，name，brand 都能匹配到文本 cake mix
2. 高亮 字段 name，并加标签
3. 排序，对字段 brand 正序，_score 降序，返回 20 个文档

# 创建符合条件的 task 索引，设置 field 字段，并写入数据
PUT food_ingredient
{"mappings": {"properties": {"manufacturer":{"type": "text"},"name":{"type": "text"},"brand":{"type": "text"}}}
}# 写入数据
POST food_ingredient/_bulk
{"index":{}}
{"manufacturer": "cake mix", "name": "cake mix", "brand": "cake mix"}

1.1 考点

1. must 查询
2. 高亮
3. 排序

1.2 答案

GET food_ingredient/_search
{"query": {"bool": {"must": [{"match": {"manufacturer": "cake mix"}},{"match": {"name": "cake mix"}},{"match": {"brand": "cake mix"}}]}},"highlight": {"fields" : {"name" : { "pre_tags" : ["<em>"], "post_tags" : ["</em>"] }}}, "sort": [{"brand.keyword": {"order": "asc"}},{"_score": {"order": "desc"}}]
}

二、题目

集群中有 earthquakes 索引，timestamp 字段的格式为 yyyy-MM-dd HH:mm:ss。对 earthquakes 索引按月分桶，并且对 magnitude 和 depth 进行最大值聚合。

# 创建索引
PUT earthquakes
{"settings": {"number_of_replicas": 0},"mappings": {"properties": {"timestamp":{"type": "date","format": "yyyy-MM-dd HH:mm:ss"},"magnitude":{"type": "float"},"type":{"type":"integer"},"depth":{"type":"float"}}}
}# 导入数据
POST earthquakes/_bulk
{"index":{}}
{"timestamp":"2012-01-01 12:12:12", "magnitude":4.56, "type":1, "depth":10}
{"index":{}}
{"timestamp":"2012-01-01 15:12:12", "magnitude":6.46, "type":2, "depth":11}
{"index":{}}
{"timestamp":"2012-02-02 13:12:12", "magnitude":4, "type":2, "depth":5}
{"index":{}}
{"timestamp":"2012-03-02 13:12:12", "magnitude":6, "type":3, "depth":8}
{"index":{}}
{"timestamp":"1967-03-02 13:12:12", "magnitude":6, "type":2, "depth":6}

2.1 考点

1. 分桶聚合
2. 指标聚合

2.2 答案

GET earthquakes/_search
{"size": 0,"aggs": {"sales_over_time": {"date_histogram": {"field": "timestamp","calendar_interval": "month"},"aggs": {"max_magnitude": {"max": {"field": "magnitude"}},"max_depth": {"max": {"field": "depth"}}}}}
}