首页 > 解决方案 > 将 JSON 数组中的数据收集到 ClickHouse 表中

问题描述

我在 ClickHouse 表中有一些原始 JSON 数据(实际上是来自 netflow 收集器的 netflow V9),它看起来像这样:

{"AgentID":"10.1.8.1",
       "Header":{"Version":9,"Count":2},
       "DataSets":[
            [{"I":2,"V":"231"},{"I":3,"V":"151"},{"I":8,"V":"109.195.122.130"}],
            [{"I":2,"V":"341"},{"I":3,"V":"221"},{"I":8,"V":"109.195.122.233"}]
       
       ]}'

我的任务是通过以下方式将 DataSets 数组转换为另一个 ClickHouse 表:

I2     I3    I8
-----------------------------
231    151   109.195.122.130
341    221   109.195.122.233
...
 

标签: jsonclickhousenetflow

解决方案


要解析 JSON,请考虑使用专门的json 函数

SELECT
    toInt32(column_values[1]) AS I2,
    toInt32(column_values[2]) AS I3,
    column_values[3] AS I8
FROM 
(
    SELECT
        arrayJoin(JSONExtract(json, 'DataSets', 'Array(Array(Tuple(Int32, String)))')) AS row,
        arraySort(x -> (x.1), row) AS row_with_sorted_columns,
        arrayMap(x -> (x.2), row_with_sorted_columns) AS column_values
    FROM 
    (
        SELECT '{"AgentID":"10.1.8.1", "Header":{"Version":9,"Count":2}, "DataSets":[\n          [{"I":3,"V":"151"},{"I":8,"V":"109.195.122.130"},{"I":2,"V":"231"}],\n          [{"I":2,"V":"341"},{"I":3,"V":"221"},{"I":8,"V":"109.195.122.233"}]]}' AS json
    )
)


/*
┌─I2──┬─I3──┬─I8──────────────┐
│ 231 │ 151 │ 109.195.122.130 │
│ 341 │ 221 │ 109.195.122.233 │
└─────┴─────┴─────────────────┘
*/

(要了解有关 JSON 解析的更多信息,请参阅如何从 clickhouse 中的 json 中提取 json?


上面的实现依赖于 Datasets-array 的固定结构。正如我在现实世界中所了解的那样,此结构具有任意模式(https://www.iana.org/assignments/ipfix/ipfix.xhtml),例如:

{
   "AgentID":"192.168.21.15",
   "Header":{},
   "DataSets":[
      [
         {"I":8, "V":"192.16.28.217"},
         {"I":12, "V":"180.10.210.240"},
         {"I":5, "V":2},
         {"I":4, "V":6},
         {"I":7, "V":443},
         {"I":6, "V":"0x10"}
      ]
   ]
}

因此,出现了关于具有任意列数的表的问题。ClickHouse 不支持此功能 - 请参阅在这种情况下如何呈现表格https://stackoverflow.com/search?q=%5Bclickhouse%5D+pivot


推荐阅读