Query Analysis Time Series
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Query Analysis Time Series
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Analyze the search queries used at the specified time and calculate them by field.
- city1: city classification field1 ex) Seoul, Gyeonggi-do, Chungcheongbuk-do
- city2: city classification field2 ex) Gangnam-gu, Seocho, Guro-gu
- city3: city classification field2 ex) Yeoksam-dong, Jeongja-dong, Seocho-dong
- country: country
- word: word that stemmed from the search Query
POST https://cloudsearch.apigw.ntruss.com/CloudSearch/real/v1/domain/{name}/analysis/timeseries
Request
Request parameter
| Parameter Name | Required | Type | Restrictions | Description |
|---|---|---|---|---|
| name | Yes | string | The name of the created domain |
Request body
| Field Name | Required | Type | Restrictions | Description |
|---|---|---|---|---|
| from | Yes | string | Start time (UTC, ex: 20161027T171340Z) | |
| to | Yes | string | End time (UTC, ex: 20161027T171340Z) | |
| field | Yes | QueryAnalysisField | Aggregation field settings | |
| field_value | No | string | Only return field value matching corresponding parameter | |
| max_size | Yes | int | Maximum Size to Import | |
| interval | Yes | int | interval of aggregation / unit : min |
Response
| Field Name | Type | Description | Remarks |
|---|---|---|---|
| key_as_string | string | aggregate base time | Example: 2019-09-25T09: 50: 00.000Z |
| key | number | aggreagte reference time (milliseconds) | Example: 1569405000000 |
| doc_count | number | Sum of results aggregated over base time | |
| aggregated_result.sum_other_doc_count | number | When the aggregate result is greater than the specified max_size value, the sum of all the values not printed in the result | |
| aggregated_result.buckets [] | array | Grouping by key of aggreagte result | |
| aggregated_result.buckets []. key | string | The value of the field used in the query during that time | |
| aggregated_result.buckets []. doc_count | string | The number of keys used in the query during that time |
Response Status
| Http Status | Desc |
|---|---|
| 200 | OK |
| 400 | Bad Request |
| 401 | Unauthorized |
| 401 | there is no such service |
| 403 | Forbidden |
| 404 | Not Found |
| 500 | Internal Server Error |
Example
Example Request1 : In case 'field_value' is not available
POST https://cloudsearch.apigw.ntruss.com/CloudSearch/real/v1/domain/car_dev/analysis/timeseries
POST /CloudSearch/real/v1/domain/car_dev/analysis/timeseries HTTP/1.1
Host:cloudsearch.apigw.ntruss.com
accept:application/json
x-ncp-apigw-signature-v2: cDwtHuQeGmwWyNmwlN6XIGA66zge4iMXvfoDQNna05g=
x-ncp-apigw-timestamp: 1545817618751
x-ncp-iam-access-key: teGTwtcSEGA7fu28BGGi
{
"from": "2019-09-25T05:00:00Z",
"to": "2019-09-25T15:00:00Z",
"field": "word",
"max_size": 5,
"interval": 1
}
Example response
[
{
"key_as_string": "2019-09-25T09:50:00.000Z",
"key": 1569405000000,
"doc_count": 2,
"aggregated_result": {
"sum_other_doc_count": 0,
"buckets": [
{
"key": "kia",
"doc_count": 1
},
{
"key": "hyundai",
"doc_count": 1
}
]
}
},
{
"key_as_string": "2019-09-25T09:53:00.000Z",
"key": 1569405180000,
"doc_count": 2,
"aggregated_result": {
"sum_other_doc_count": 0,
"buckets": [
{
"key": "kia",
"doc_count": 2
}
]
}
}
]
Example Request2 : In case 'field_value' is available
POST https://cloudsearch.apigw.ntruss.com/CloudSearch/real/v1/domain/car_dev/analysis/timeseries
POST /CloudSearch/real/v1/domain/car_dev/analysis/timeseries HTTP/1.1
Host:cloudsearch.apigw.ntruss.com
accept:application/json
x-ncp-apigw-signature-v2: cDwtHuQeGmwWyNmwlN6XIGA66zge4iMXvfoDQNna05g=
x-ncp-apigw-timestamp: 1545817618751
x-ncp-iam-access-key: teGTwtcSEGA7fu28BGGi
{
"from": "2019-09-25T05:00:00Z",
"to": "2019-09-25T15:00:00Z",
"field": "word",
"field_value": "bmw",
"maxSize": 5,
"interval": 1
}
Example response
[
{
"key_as_string": "2019-09-25T10:35:00.000Z",
"key": 1569407700000,
"doc_count": 2,
"aggregated_result": {
"sum_other_doc_count": 0,
"buckets": [
{
"key": "bmw",
"doc_count": 2
}
]
}
},
{
"key_as_string": "2019-09-25T10:38:00.000Z",
"key": 1569407880000,
"doc_count": 13,
"aggregated_result": {
"sum_other_doc_count": 0,
"buckets": [
{
"key": "bmw",
"doc_count": 13
}
]
}
},
{
"key_as_string": "2019-09-25T11:14:00.000Z",
"key": 1569410040000,
"doc_count": 11,
"aggregated_result": {
"sum_other_doc_count": 0,
"buckets": [
{
"key": "bmw",
"doc_count": 11
}
]
}
},
{
"key_as_string": "2019-09-25T11:15:00.000Z",
"key": 1569410100000,
"doc_count": 12,
"aggregated_result": {
"sum_other_doc_count": 0,
"buckets": [
{
"key": "bmw",
"doc_count": 12
}
]
}
},
{
"key_as_string": "2019-09-25T11:16:00.000Z",
"key": 1569410160000,
"doc_count": 1013,
"aggregated_result": {
"sum_other_doc_count": 0,
"buckets": [
{
"key": "bmw",
"doc_count": 1013
}
]
}
},
{
"key_as_string": "2019-09-25T11:17:00.000Z",
"key": 1569410220000,
"doc_count": 1016,
"aggregated_result": {
"sum_other_doc_count": 0,
"buckets": [
{
"key": "bmw",
"doc_count": 1016
}
]
}
},
{
"key_as_string": "2019-09-25T11:18:00.000Z",
"key": 1569410280000,
"doc_count": 960,
"aggregated_result": {
"sum_other_doc_count": 0,
"buckets": [
{
"key": "bmw",
"doc_count": 960
}
]
}
}
]
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