position_increment_gap
编辑position_increment_gap
编辑已分析的文本字段会考虑词项的位置，以便支持邻近或短语查询。当索引具有多个值的文本字段时，会在值之间添加一个“伪”间隔，以防止大多数短语查询跨值匹配。此间隔的大小使用 position_increment_gap 配置，默认为 100。
例如
resp = client.index(
index="my-index-000001",
id="1",
document={
"names": [
"John Abraham",
"Lincoln Smith"
]
},
)
print(resp)
resp1 = client.search(
index="my-index-000001",
query={
"match_phrase": {
"names": {
"query": "Abraham Lincoln"
}
}
},
)
print(resp1)
resp2 = client.search(
index="my-index-000001",
query={
"match_phrase": {
"names": {
"query": "Abraham Lincoln",
"slop": 101
}
}
},
)
print(resp2)
response = client.index(
index: 'my-index-000001',
id: 1,
body: {
names: [
'John Abraham',
'Lincoln Smith'
]
}
)
puts response
response = client.search(
index: 'my-index-000001',
body: {
query: {
match_phrase: {
names: {
query: 'Abraham Lincoln'
}
}
}
}
)
puts response
response = client.search(
index: 'my-index-000001',
body: {
query: {
match_phrase: {
names: {
query: 'Abraham Lincoln',
slop: 101
}
}
}
}
)
puts response
const response = await client.index({
index: "my-index-000001",
id: 1,
document: {
names: ["John Abraham", "Lincoln Smith"],
},
});
console.log(response);
const response1 = await client.search({
index: "my-index-000001",
query: {
match_phrase: {
names: {
query: "Abraham Lincoln",
},
},
},
});
console.log(response1);
const response2 = await client.search({
index: "my-index-000001",
query: {
match_phrase: {
names: {
query: "Abraham Lincoln",
slop: 101,
},
},
},
});
console.log(response2);
PUT my-index-000001/_doc/1
{
"names": [ "John Abraham", "Lincoln Smith"]
}
GET my-index-000001/_search
{
"query": {
"match_phrase": {
"names": {
"query": "Abraham Lincoln"
}
}
}
}
GET my-index-000001/_search
{
"query": {
"match_phrase": {
"names": {
"query": "Abraham Lincoln",
"slop": 101
}
}
}
}
|
这个短语查询不匹配我们的文档，这是完全预期的。 |
|
|
这个短语查询匹配我们的文档，即使 |
position_increment_gap 可以在映射中指定。例如
resp = client.indices.create(
index="my-index-000001",
mappings={
"properties": {
"names": {
"type": "text",
"position_increment_gap": 0
}
}
},
)
print(resp)
resp1 = client.index(
index="my-index-000001",
id="1",
document={
"names": [
"John Abraham",
"Lincoln Smith"
]
},
)
print(resp1)
resp2 = client.search(
index="my-index-000001",
query={
"match_phrase": {
"names": "Abraham Lincoln"
}
},
)
print(resp2)
response = client.indices.create(
index: 'my-index-000001',
body: {
mappings: {
properties: {
names: {
type: 'text',
position_increment_gap: 0
}
}
}
}
)
puts response
response = client.index(
index: 'my-index-000001',
id: 1,
body: {
names: [
'John Abraham',
'Lincoln Smith'
]
}
)
puts response
response = client.search(
index: 'my-index-000001',
body: {
query: {
match_phrase: {
names: 'Abraham Lincoln'
}
}
}
)
puts response
const response = await client.indices.create({
index: "my-index-000001",
mappings: {
properties: {
names: {
type: "text",
position_increment_gap: 0,
},
},
},
});
console.log(response);
const response1 = await client.index({
index: "my-index-000001",
id: 1,
document: {
names: ["John Abraham", "Lincoln Smith"],
},
});
console.log(response1);
const response2 = await client.search({
index: "my-index-000001",
query: {
match_phrase: {
names: "Abraham Lincoln",
},
},
});
console.log(response2);