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我有 300 万条记录，其中包含以下条目：

~/Abharthan/kairosdb$ head -10 export.txt
    {"name": "meterreadings", "timestamp":"1359695700","tags": {"Building_id":"1","building_type":"ElementarySchool","meter_type":"temperature","unit":"F"},"value":"34.85"}
    {"name": "meterreadings", "timestamp":"1359695700","tags": {"Building_id":"2","building_type":"Park","meter_type":"temperature","unit":"F"},"value":"0"}
    {"name": "meterreadings", "timestamp":"1359695700","tags": {"Building_id":"3","building_type":"Industrial","meter_type":"temperature","unit":"F"},"value":"0.07"}
    {"name": "meterreadings", "timestamp":"1359695700","tags": {"Building_id":"4","building_type":"RecreationCenter","meter_type":"temperature","unit":"F"},"value":"0"}
    {"name": "meterreadings", "timestamp":"1359695700","tags": {"Building_id":"5","building_type":"Park","meter_type":"temperature","unit":"F"},"value":"2.2"}
    {"name": "meterreadings", "timestamp":"1359695700","tags": {"Building_id":"6","building_type":"CommunityCenter","meter_type":"temperature","unit":"F"},"value":"31.41"}
    {"name": "meterreadings", "timestamp":"1359695700","tags": {"Building_id":"7","building_type":"Office","meter_type":"temperature","unit":"F"},"value":"0"}
    {"name": "meterreadings", "timestamp":"1359695700","tags": {"Building_id":"8","building_type":"ElementarySchool","meter_type":"temperature","unit":"F"},"value":"10.88"}
    {"name": "meterreadings", "timestamp":"1359695700","tags": {"Building_id":"9","building_type":"ElementarySchool","meter_type":"temperature","unit":"F"},"value":"42.27"}
    {"name": "meterreadings", "timestamp":"1359695700","tags": {"Building_id":"10","building_type":"ElementarySchool","meter_type":"temperature","unit":"F"},"value":"10.14"}

这些是每个建筑物的 1 年抄表读数，每小时收集一次 building_id。

我的起始数据时间戳为：1359695700，结束时间戳为：1422853200。我想查询此数据库以获得以下信息：

Query hourly average for one building(say building_id:100) for one year (output expected of 8760 points)
Query monthly sum for one building for one year (output expected of 12 points)

我编写了以下两个查询来获取上述两个查询的结果：

查询1：

{ "start_absolute":1359695700, "end_absolute":1422853200, "metrics":[{"tags":{"Building_id":["100"]},"name":"meterreadings","aggregators":[{"名称":"avg","align_sampling":true,"sampling":{"value":"1","unit":"hours"}}]}]}

响应：200 {"queries":[{"sample_size":70168,"results":[{"name":"meterreadings","group_by":[{"name":"type","type":"number "}],"tags":{"Building_id":["100"],"building_type":["MiddleSchool"],"meter_type":["temperature"],"unit":["F"]}, "values":[[1359695700,42.45377343113282],[1360800000,36.42662912912908],[1364400000,41.12510250000007],[1368000000,54.915547499999946],[1371600000,65.07990000000015],[1375200000,55.8904375],[1378800000,47.33335249999986],[1382400000, 38.952450000000034],[1386000000,41.99267000000001],[1389600000,41.28209500000009],[1393200000,40.31645895895911],[1396800000,40.758327499999915],[1400400000,54.05608750000002],[1404000000,63.410385]，[1407600,000,65.38089749999993]，[1411200000,45.99822500000001]，[1414800000,39.669450137465724]

查询 2：

{ "start_absolute":1359695700, "end_absolute":1422853200, "metrics":[{"tags":{"Building_id":["100"]},"name":"meterreadings","aggregators":[{"名称":"sum","align_sampling":true,"sampling":{"value":"1","unit":"months"}}]}]}

响应：200 {"queries":[{"sample_size":70168,"results":[{"name":"meterreadings","group_by":[{"name":"type","type":"number "}],"tags":{"Building_id":["100"],"building_type":["MiddleSchool"],"meter_type":["temperature"],"unit":["F"]}, “价值观”：[[1359695700,3337957.570000005]]}]}]}

我没有得到我所期望的，我错过了什么。

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1 回答 1

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答案很简单，正如我之前指出的一个可能的问题:-) cf。Kairosdb 错误指标[0](name=abcd).tag[xyz].value 可能不为空

KairosDB 具有毫秒精度 - KairosDB 中的所有时间戳都是 Unix 毫秒。

但是您的时间戳以 Unix 秒为单位，这是您的问题。

因此，您需要将数据采集和查询中的所有时间戳乘以 1000。

例如，query2 要求在 1970 年 1 月 16 日至 1970 年 1 月 17 日期间不到 24 小时内的所有样本，当您汇总一个月时，您只会得到一个结果。

例如用于数据采集：

{"name": "meterreadings", "timestamp":"1359695700000","tags": {"Building_id":"1","building_type":"ElementarySchool","meter_type":"temperature","unit":"F"},"value":"34.85"}
    {"name": "meterreadings", "timestamp":"1359695700000","tags": {"Building_id":"2","building_type":"Park","meter_type":"temperature","unit":"F"},"value":"0"}

...和查询：

{ "start_absolute":1359695700000, "end_absolute":1422853200000, "metrics":[{"tags":{"Building_id":["100"]},"name":"meterreadings","aggregators":[{"name":"sum","align_sampling":true,"sampling":{"value":"1","unit":"months"}}]}]}
于 2015-08-18T20:03:41.157 回答