Created
July 28, 2011 07:42
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| { | |
| "custom_score": { | |
| "query": { | |
| "filtered": { | |
| "query": { | |
| "match_all": { } | |
| }, | |
| "filter": { | |
| "and": [ | |
| { | |
| "term": { | |
| "hidden": false | |
| } | |
| }, | |
| { | |
| "range": { | |
| "current_sign_in_at": { | |
| "gt": "2011-04-29" | |
| } | |
| } | |
| }, | |
| { | |
| "term": { | |
| "sex": "female" | |
| } | |
| }, | |
| { | |
| "term": { | |
| "has_image": true | |
| } | |
| }, | |
| { | |
| "bool": { | |
| "must_not": [ | |
| { | |
| "terms": { | |
| "_id": [ | |
| 1, | |
| 4, | |
| 6, | |
| 10, | |
| 4999, | |
| 391034, | |
| 1839 | |
| ] | |
| } | |
| } | |
| ] | |
| } | |
| } | |
| ] | |
| } | |
| } | |
| }, | |
| "script": "_score - Math.abs(doc['age'].value - age)/4.0 + (doc['partner_status'].value == 'single' ? 10 : 0) + (doc['has_image'].value == 'true' ? 40 : 0) + (doc['online'].value == 'true' ? 5 : 0) + (doc['boost'].value == 'true' ? 7 : 0) + (doc['current_sign_in_at'].value > stale_date ? 5 : 0) - (doc['location'].empty ? 20 : (doc['location'].distanceInKm(55.714619, 12.5287294) * 0.14))", | |
| "params": { | |
| "age": 24, | |
| "weight": null, | |
| "height": null, | |
| "stale_date": 1311199200000 | |
| } | |
| } | |
| } |
Second, pass the lat/lon to the scripts as parameters as well, so it won't compile each time:
{
"custom_score": {
"query": {
"filtered": {
"query": {
"match_all": { }
},
"filter": {
"and": [
{
"term": {
"hidden": false
}
},
{
"range": {
"current_sign_in_at": {
"gt": "2011-04-29"
}
}
},
{
"term": {
"sex": "female"
}
},
{
"term": {
"has_image": true
}
},
{
"not" : {
"ids" : {
"type" : "users",
"ids" : [1, 4, 6, 10, 4999, 391034, 1839]
}
}
}
]
}
}
},
"script": "_score - Math.abs(doc['age'].value - age)/4.0 + (doc['partner_status'].value == 'single' ? 10 : 0) + (doc['has_image'].value == 'true' ? 40 : 0) + (doc['online'].value == 'true' ? 5 : 0) + (doc['boost'].value == 'true' ? 7 : 0) + (doc['current_sign_in_at'].value > stale_date ? 5 : 0) - (doc['location'].empty ? 20 : (doc['location'].distanceInKm(lat, lon) * 0.14))",
"params": {
"age": 24,
"weight": null,
"height": null,
"stale_date": 1311199200000,
"lat" : 55.714619,
"lon" : 12.5287294
}
}
}
Third step can be to cache the tuple of certain filters for better perf, for example, created a tuple of hidden, sex, and has_image into a single cached element, so the and filter will be faster:
{
"custom_score": {
"query": {
"filtered": {
"query": {
"match_all": { }
},
"filter": {
"and": [
{
"bool" : {
"must" : [
{
"term": {
"hidden": false
}
},
{
"term": {
"sex": "female"
}
},
{
"term": {
"has_image": true
}
}
],
"_cache" : true
}
}
{
"range": {
"current_sign_in_at": {
"gt": "2011-04-29"
}
}
},
{
"not" : {
"ids" : {
"type" : "users",
"ids" : [1, 4, 6, 10, 4999, 391034, 1839]
}
}
}
]
}
}
},
"script": "_score - Math.abs(doc['age'].value - age)/4.0 + (doc['partner_status'].value == 'single' ? 10 : 0) + (doc['has_image'].value == 'true' ? 40 : 0) + (doc['online'].value == 'true' ? 5 : 0) + (doc['boost'].value == 'true' ? 7 : 0) + (doc['current_sign_in_at'].value > stale_date ? 5 : 0) - (doc['location'].empty ? 20 : (doc['location'].distanceInKm(lat, lon) * 0.14))",
"params": {
"age": 24,
"weight": null,
"height": null,
"stale_date": 1311199200000,
"lat" : 55.714619,
"lon" : 12.5287294
}
}
}
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First step: change bool filter to not: