Aggregation operation on Elastic search data

Elastic Stack Elasticsearch
1

I have below data but i need to build a query which will give the average of CpuAverageLoad of specific Nodetype. Kibana cannot used because of some license issue.

> {   "took" : 6,   "timed_out" : false,   "_shards" : {
>     "total" : 5,
>     "successful" : 5,
>     "failed" : 0   },   "hits" : {
>     "total" : 11,
>     "max_score" : 1.0,
>     "hits" : [
>       {
>         "_index" : "kpi",
>         "_type" : "kpi",
>         "_id" : "AWIZB9Ds_xnN0Y7Qo1A7",
>         "_score" : 1.0,
>         "_source" : {
>           "date" : "2018-03-12 12:36:05",
>           "kpi" : [
>             {
>               "CpuAverageLoad" : 3,
>               "HaGroupId" : "1001",
>               "LbGroupId" : "",
>               "MemFree" : 100,
>               "MemUsed" : 0,
>               "NodeId" : "kishan",
>               "NodeType" : "tpt",
>               "State" : "online",
>               "Static_limit" : 0
>             },
>             {
>               "CpuAverageLoad" : 0,
>               "HaGroupId" : "102",
>               "LbGroupId" : "",
>               "MemFree" : 0,
>               "MemUsed" : 0,
>               "NodeId" : "kalyan",
>               "NodeType" : "tpt1",
>               "State" : "online"
>             }
>           ]
>         }
>       },
>       ......

>       {
>         "_index" : "kpi",
>         "_type" : "kpi",
>         "_id" : "AWIZCLsE_xnN0Y7Qo1A8",
>         "_score" : 1.0,
>         "_source" : {
>           "date" : "2018-03-12 12:37:05",
>           "kpi" : [
>             {
>               "CpuAverageLoad" : 3,
>               "HaGroupId" : "1001",
>               "LbGroupId" : "",
>               "MemFree" : 100,
>               "MemUsed" : 0,
>               "NodeId" : "kishan",
>               "NodeType" : "tpt",
>               "State" : "online",
>               "Static_limit" : 0
>             },
>             {
>               "CpuAverageLoad" : 0,
>               "HaGroupId" : "102",
>               "LbGroupId" : "",
>               "MemFree" : 0,
>               "MemUsed" : 0,
>               "NodeId" : "kalyan",
>               "NodeType" : "tpt1",
>               "State" : "online"
>             }
>           ]
>         }
>       },
>       {
>         "_index" : "kpi",
>         "_type" : "kpi",
>         "_id" : "AWIZCVc9H8WRs8qwDKh5",
>         "_score" : 1.0,
>         "_source" : {
>           "date" : "2018-03-12 12:37:45",
>           "kpi" : [
>             {
>               "CpuAverageLoad" : 0,
>               "HaGroupId" : "1001",
>               "LbGroupId" : "",
>               "MemFree" : 100,
>               "MemUsed" : 0,
>               "NodeId" : "kishan",
>               "NodeType" : "tpt",
>               "State" : "online",
>               "Static_limit" : 0
>             },
>             {
>               "CpuAverageLoad" : 0,
>               "HaGroupId" : "102",
>               "LbGroupId" : "",
>               "MemFree" : 0,
>               "MemUsed" : 0,
>               "NodeId" : "kalyan",
>               "NodeType" : "tpt1",
>               "State" : "online"
>             }
>           ]
>         }
>       },
>       {
>         "_index" : "kpi",
>         "_type" : "kpi",
>         "_id" : "AWIZCkGnH8WRs8qwDKh6",
>         "_score" : 1.0,
>         "_source" : {
>           "date" : "2018-03-12 12:38:45",
>           "kpi" : [
>             {
>               "CpuAverageLoad" : 1,
>               "HaGroupId" : "1001",
>               "LbGroupId" : "",
>               "MemFree" : 100,
>               "MemUsed" : 0,
>               "NodeId" : "kishan",
>               "NodeType" : "tpt",
>               "State" : "online",
>               "Static_limit" : 0
>             },
>             {
>               "CpuAverageLoad" : 0,
>               "HaGroupId" : "102",
>               "LbGroupId" : "",
>               "MemFree" : 0,
>               "MemUsed" : 0,
>               "NodeId" : "kalyan",
>               "NodeType" : "tpt1",
>               "State" : "online"
>             }
>           ]
>         }
>       }
>     ]   } }

I have tried with below query

curl -XGET 'localhost:9200/_search?pretty' -H 'Content-Type: application/json' -d'
{
"query": {
"bool" : {
"must" : {
"script" : {
"script" : {
"inline" : "doc['kpi.CpuAverageLoad'].value > params.param1",
"lang" : "painless",
"params" : {
"param1" : 5
}
}
}
}
}
}
}

I am unable to build a porper query which we give me the average of CpuAverageLoad for specific nodetype i mention

2

i tried below query

curl -XPOST 'localhost:9200/kpi/_search?size=0&pretty' -H 'Content-Type: application/json' -d'
{
"aggs" : {
"avg_grade" : {
"avg" : {
"script" : {
"source" : "doc.['kpi.CpuAverageLoad']value"
}
}
}
}
}'

But i getting below error

{
"error" : {
"root_cause" : [
{
"type" : "illegal_argument_exception",
"reason" : "[script] unknown field [source], parser not found"
}
],
"type" : "illegal_argument_exception",
"reason" : "[script] unknown field [source], parser not found"
},
"status" : 400
}

3

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