TopN query on post aggregation metric in druid
I need to do a top n query on a post aggregated metric. Sounds pretty straightforward. This is the query i am using-
{
"queryType": "topN",
"dataSource": "model",
"granularity": "all",
"intervals": [
"2018-01-01T00:00:00/2018-12-31T23:59:59"
],
"dimension": {
"type": "lookup",
"dimension": "COName",
"outputName": "COName",
"name": "COName"
},
"metric": "MarketShare",
"threshold": 10,
"aggregations": [
{
"type": "filtered",
"filter": {
"type": "selector",
"dimension": "Brand",
"value": "Nike"
},
"aggregator": {
"type": "doubleSum",
"name": "nike_sum",
"fieldName": "Sales"
}
},
{
"type": "doubleSum",
"name": "total_sum",
"fieldName": "Sales"
}
],
"postAggregations": [
{
"type": "arithmetic",
"name": "MarketShare",
"fn": "*",
"fields": [
{
"type": "arithmetic",
"name": "div",
"fn": "/",
"fields": [
{
"type": "fieldAccess",
"name": "brand_sum",
"fieldName": "nike_sum"
},
{
"type": "fieldAccess",
"name": "total_sum_1",
"fieldName": "total_sum"
}
]
},
{
"type": "constant",
"name": "const",
"value": 100
}
]
}
],
"context": {
"skipEmptyBuckets": true
}
}
This is giving me weird top N results(Incorrect numerically). I am sure of it because when I do a simple groupby for some particular COName I am getting expected results.
Interesting Fact :
When I replace "metric": "MarketShare" with some other metric such as "metric": "total_sum" I am getting correct numbers but the sorting is now with "total_sum".
druid top-n
asked Nov 21 '18 at 7:59
Abhishek KumarAbhishek Kumar
372112
add a comment |
I need to do a top n query on a post aggregated metric. Sounds pretty straightforward. This is the query i am using-
{
"queryType": "topN",
"dataSource": "model",
"granularity": "all",
"intervals": [
"2018-01-01T00:00:00/2018-12-31T23:59:59"
],
"dimension": {
"type": "lookup",
"dimension": "COName",
"outputName": "COName",
"name": "COName"
},
"metric": "MarketShare",
"threshold": 10,
"aggregations": [
{
"type": "filtered",
"filter": {
"type": "selector",
"dimension": "Brand",
"value": "Nike"
},
"aggregator": {
"type": "doubleSum",
"name": "nike_sum",
"fieldName": "Sales"
}
},
{
"type": "doubleSum",
"name": "total_sum",
"fieldName": "Sales"
}
],
"postAggregations": [
{
"type": "arithmetic",
"name": "MarketShare",
"fn": "*",
"fields": [
{
"type": "arithmetic",
"name": "div",
"fn": "/",
"fields": [
{
"type": "fieldAccess",
"name": "brand_sum",
"fieldName": "nike_sum"
},
{
"type": "fieldAccess",
"name": "total_sum_1",
"fieldName": "total_sum"
}
]
},
{
"type": "constant",
"name": "const",
"value": 100
}
]
}
],
"context": {
"skipEmptyBuckets": true
}
}
This is giving me weird top N results(Incorrect numerically). I am sure of it because when I do a simple groupby for some particular COName I am getting expected results.
Interesting Fact :
When I replace "metric": "MarketShare" with some other metric such as "metric": "total_sum" I am getting correct numbers but the sorting is now with "total_sum".
druid top-n
asked Nov 21 '18 at 7:59
Abhishek KumarAbhishek Kumar
372112
add a comment |
I need to do a top n query on a post aggregated metric. Sounds pretty straightforward. This is the query i am using-
{
"queryType": "topN",
"dataSource": "model",
"granularity": "all",
"intervals": [
"2018-01-01T00:00:00/2018-12-31T23:59:59"
],
"dimension": {
"type": "lookup",
"dimension": "COName",
"outputName": "COName",
"name": "COName"
},
"metric": "MarketShare",
"threshold": 10,
"aggregations": [
{
"type": "filtered",
"filter": {
"type": "selector",
"dimension": "Brand",
"value": "Nike"
},
"aggregator": {
"type": "doubleSum",
"name": "nike_sum",
"fieldName": "Sales"
}
},
{
"type": "doubleSum",
"name": "total_sum",
"fieldName": "Sales"
}
],
"postAggregations": [
{
"type": "arithmetic",
"name": "MarketShare",
"fn": "*",
"fields": [
{
"type": "arithmetic",
"name": "div",
"fn": "/",
"fields": [
{
"type": "fieldAccess",
"name": "brand_sum",
"fieldName": "nike_sum"
},
{
"type": "fieldAccess",
"name": "total_sum_1",
"fieldName": "total_sum"
}
]
},
{
"type": "constant",
"name": "const",
"value": 100
}
]
}
],
"context": {
"skipEmptyBuckets": true
}
}
This is giving me weird top N results(Incorrect numerically). I am sure of it because when I do a simple groupby for some particular COName I am getting expected results.
Interesting Fact :
When I replace "metric": "MarketShare" with some other metric such as "metric": "total_sum" I am getting correct numbers but the sorting is now with "total_sum".
druid top-n
asked Nov 21 '18 at 7:59
Abhishek KumarAbhishek Kumar
372112
I need to do a top n query on a post aggregated metric. Sounds pretty straightforward. This is the query i am using-
{
"queryType": "topN",
"dataSource": "model",
"granularity": "all",
"intervals": [
"2018-01-01T00:00:00/2018-12-31T23:59:59"
],
"dimension": {
"type": "lookup",
"dimension": "COName",
"outputName": "COName",
"name": "COName"
},
"metric": "MarketShare",
"threshold": 10,
"aggregations": [
{
"type": "filtered",
"filter": {
"type": "selector",
"dimension": "Brand",
"value": "Nike"
},
"aggregator": {
"type": "doubleSum",
"name": "nike_sum",
"fieldName": "Sales"
}
},
{
"type": "doubleSum",
"name": "total_sum",
"fieldName": "Sales"
}
],
"postAggregations": [
{
"type": "arithmetic",
"name": "MarketShare",
"fn": "*",
"fields": [
{
"type": "arithmetic",
"name": "div",
"fn": "/",
"fields": [
{
"type": "fieldAccess",
"name": "brand_sum",
"fieldName": "nike_sum"
},
{
"type": "fieldAccess",
"name": "total_sum_1",
"fieldName": "total_sum"
}
]
},
{
"type": "constant",
"name": "const",
"value": 100
}
]
}
],
"context": {
"skipEmptyBuckets": true
}
}
This is giving me weird top N results(Incorrect numerically). I am sure of it because when I do a simple groupby for some particular COName I am getting expected results.
Interesting Fact :
When I replace "metric": "MarketShare" with some other metric such as "metric": "total_sum" I am getting correct numbers but the sorting is now with "total_sum".
druid top-n
druid top-n
asked Nov 21 '18 at 7:59
Abhishek KumarAbhishek Kumar
372112
asked Nov 21 '18 at 7:59
Abhishek KumarAbhishek Kumar
372112
asked Nov 21 '18 at 7:59
Abhishek KumarAbhishek Kumar
372112
asked Nov 21 '18 at 7:59
Abhishek KumarAbhishek Kumar
372112
asked Nov 21 '18 at 7:59
Abhishek KumarAbhishek Kumar
372112
372112
add a comment |
add a comment |
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