Elasticsearch各种高级文档操作3

本文来记录几种Elasticsearch的文档操作

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初始化文档数据

在进行各种文档操作之前，我们先进行初始化文档数据的工作

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聚合查询文档

概述

聚合允许使用者对 es 文档进行统计分析，类似与关系型数据库中的 group by，当然还有很多其他的聚合，例如取最大值、平均值等等。

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对某个字段取最大值 max 示例

在 apifox 中，向 ES 服务器发 GET请求 ：http://localhost:9200/person/_search，请求体内容为：

服务器响应结果

{"took": 2,"timed_out": false,"_shards": {"total": 1,"successful": 1,"skipped": 0,"failed": 0},"hits": {"total": {"value": 4,"relation": "eq"},"max_score": null,"hits": []},"aggregations": {"max_age": {"value": 25.0}}
}

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对某个字段取最小值 min 示例

在 apifox 中，向 ES 服务器发 GET请求 ：http://localhost:9200/person/_search，请求体内容为：

服务器响应结果

{"took": 1,"timed_out": false,"_shards": {"total": 1,"successful": 1,"skipped": 0,"failed": 0},"hits": {"total": {"value": 4,"relation": "eq"},"max_score": null,"hits": []},"aggregations": {"min_age": {"value": 20.0}}
}

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对某个字段求和 sum 示例

在 apifox 中，向 ES 服务器发 GET请求 ：http://localhost:9200/person/_search，请求体内容为：

服务器响应结果

{"took": 1,"timed_out": false,"_shards": {"total": 1,"successful": 1,"skipped": 0,"failed": 0},"hits": {"total": {"value": 4,"relation": "eq"},"max_score": null,"hits": []},"aggregations": {"sum_age": {"value": 88.0}}
}

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对某个字段取平均值 avg 示例

在 apifox 中，向 ES 服务器发 GET请求 ：http://localhost:9200/person/_search，请求体内容为：

服务器响应结果

{"took": 1,"timed_out": false,"_shards": {"total": 1,"successful": 1,"skipped": 0,"failed": 0},"hits": {"total": {"value": 4,"relation": "eq"},"max_score": null,"hits": []},"aggregations": {"avg_age": {"value": 22.0}}
}

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对某个字段的值进行去重之后再取总数 示例

在 apifox 中，向 ES 服务器发 GET请求 ：http://localhost:9200/person/_search，请求体内容为：

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State 聚合查询文档

概述

stats 聚合，对某个字段一次性返回 count，max，min，avg 和 sum 五个指标。

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操作实例

在 apifox 中，向 ES 服务器发 GET请求 ：http://localhost:9200/person/_search，请求体内容为：

服务器响应结果

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桶聚合查询文档

概述

桶聚和相当于 sql 中的 group by 语句。

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terms 聚合，分组统计的示例

在 apifox 中，向 ES 服务器发 POST 请求 ：http://localhost:9200/person/_search，请求体内容为：

查询成功后，服务器响应结果

{"took": 4,"timed_out": false,"_shards": {"total": 1,"successful": 1,"skipped": 0,"failed": 0},"hits": {"total": {"value": 4,"relation": "eq"},"max_score": null,"hits": []},"aggregations": {"age_groupby": {"doc_count_error_upper_bound": 0,"sum_other_doc_count": 0,"buckets": [{"key": 20,"doc_count": 1},{"key": 21,"doc_count": 1},{"key": 22,"doc_count": 1},{"key": 25,"doc_count": 1}]}}
}

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在 terms 分组下再进行聚合的示例

在 apifox 中，向 ES 服务器发 POST 请求 ：http://localhost:9200/person/_search，请求体内容为：

查询成功后，服务器响应结果

{"took": 7,"timed_out": false,"_shards": {"total": 1,"successful": 1,"skipped": 0,"failed": 0},"hits": {"total": {"value": 4,"relation": "eq"},"max_score": null,"hits": []},"aggregations": {"age_groupby": {"doc_count_error_upper_bound": 0,"sum_other_doc_count": 0,"buckets": [{"key": 20,"doc_count": 1,"sum_age": {"value": 20.0}},{"key": 21,"doc_count": 1,"sum_age": {"value": 21.0}},{"key": 22,"doc_count": 1,"sum_age": {"value": 22.0}},{"key": 25,"doc_count": 1,"sum_age": {"value": 25.0}}]}}
}

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本文小结

本文记录了Elasticsearch几种常见的文档操作