Sort multi_match query by exact matches first

Elastic Stack Elasticsearch
1

Hi there,

I am executing the following query:
{
"from":0,
"size":5,
"explain": "true",
"query":{
"bool":{
"must":[
{
"multi_match":{
"query":"Marco",
"fields":["FirstName","MiddleName","LastName"],
"fuzziness":0.6
}
}
]
}
}
}

As the results are by default sorted by the score, I thought that would give me the most matching results first. But the first result is a Marco, then two Mario and then another Marco:

hits: [
{
_shard: 8
_node: pFk-akByRACHUsGiyVa5UQ
_index: my_index
_type: my_type
_id: 52
_score: 3.0794415
_source: {
LastName: Orozco Arriola
MiddleName: Antonio
FirstName: Marco
},
_explanation: {
value: 3.0794415
description: max of:
details: [
{
value: 3.0794415
description: weight(FirstName:marco in 4) [PerFieldSimilarity], result of:
details: [
{
value: 3.0794415
description: fieldWeight in 4, product of:
details: [
{
value: 1
description: tf(freq=1.0), with freq of:
details: [
{
value: 1
description: termFreq=1.0
}
]
}
{
value: 3.0794415
description: idf(docFreq=1, maxDocs=16)
}
{
value: 1
description: fieldNorm(doc=4)
}
]
}
]
}
]
}
},
{
_shard: 9
_node: pFk-akByRACHUsGiyVa5UQ
_index: my_index
_type: my_type
_id: 114
_score: 2.9459102
_source: {
LastName: Barrios Falla
MiddleName: Mario
FirstName: Jorge
},
_explanation: {
value: 2.9459102
description: max of:
details: [
{
value: 2.9459102
description: weight(MiddleName:mario^0.8 in 8) [PerFieldSimilarity], result of:
details: [
{
value: 2.9459102
description: fieldWeight in 8, product of:
details: [
{
value: 1
description: tf(freq=1.0), with freq of:
details: [
{
value: 1
description: termFreq=1.0
}
]
}
{
value: 2.9459102
description: idf(docFreq=1, maxDocs=14)
}
{
value: 1
description: fieldNorm(doc=8)
}
]
}
]
}
]
}
},
{
_shard: 12
_node: pFk-akByRACHUsGiyVa5UQ
_index: my_index
_type: my_type
_id: 94
_score: 2.7917595
_source: {
LastName: Rivera Cabrera
MiddleName: Israel
FirstName: Mario
},
_explanation: {
value: 2.7917595
description: max of:
details: [
{
value: 2.7917595
description: weight(FirstName:mario^0.8 in 6) [PerFieldSimilarity], result of:
details: [
{
value: 2.7917595
description: fieldWeight in 6, product of:
details: [
{
value: 1
description: tf(freq=1.0), with freq of:
details: [
{
value: 1
description: termFreq=1.0
}
]
}
{
value: 2.7917595
description: idf(docFreq=1, maxDocs=12)
}
{
value: 1
description: fieldNorm(doc=6)
}
]
}
]
}
]
},
{
_shard: 3
_node: pFk-akByRACHUsGiyVa5UQ
_index: my_index
_type: my_type
_id: 44
_score: 2.7047482
_source: {
LastName: Lemus Salguero
MiddleName: Antonio
FirstName: Marco
},
_explanation: {
value: 2.7047482
description: max of:
details: [
{
value: 2.7047482
description: weight(FirstName:marco in 1) [PerFieldSimilarity], result of:
details: [
{
value: 2.7047482
description: fieldWeight in 1, product of:
details: [
{
value: 1
description: tf(freq=1.0), with freq of:
details: [
{
value: 1
description: termFreq=1.0
}
]
}
{
value: 2.7047482
description: idf(docFreq=1, maxDocs=11)
}
{
value: 1
description: fieldNorm(doc=1)
}
]
}
]
}
]
}
}
]

Also with the explain function I don't really see what I have to change to get

  • first all exact matches ("Marco")
  • then the fuzzier ones ("Mario")
    Can you help me there?

Cheers!

2

Try something like this and see if it helps:

{
"query": {
"bool": {
"should": [
{
"multi_match": {
"query": "Marco",
"fields": [
"f",
"m",
"l"
]
}
},
{
"multi_match": {
"query": "Marco",
"fields": [
"f",
"m",
"l"
],
"fuzziness": 0.6
}
}
]
}
}
}

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3

That works, thank you!!!