DQL数据查询(旧版)¶
POST /api/v1/df/query_data
概述¶
DQL数据查询
Query 请求参数¶
| 参数名 | 类型 | 必选 | 说明 |
|---|---|---|---|
| body | string | dql查询query结构体 允许为空: False |
|
| queries_body | string | dql查询query结构体(2023-08-11日下架该参数) 允许为空: False |
|
| search_after | string | 分页查询请求参数(2023-08-11日下架该参数) 允许为空: False |
参数补充说明¶
查询说明
1.查询字符串 元素字段说明
| 参数名 | type | 必选 | 说明 |
|---|---|---|---|
| body | string | Y | 查询请求体 |
| queries_body[*] | string | (旧版参数，2023-08-10 日下架) 查询列表 | |
| search_after | string | (旧版参数，2023-08-10 日下架, 新版参数位置挪移至 query 结构体中) 查询分页数据. 首次查询默认为[], 需要查询更多分页数据时,将上次查询结果中的search_after字段加上,用于查询后续数据 |
- body 中 JSON结构参数说明
| 参数名 | type | 必选 | 说明 |
|---|---|---|---|
| queries | array | Y | 多命令查询，其内容为 query 对象组成的列表 |
| fieldTagDescNeeded | boolean | 是否需要field 或者tag描述信息 |
- queries[*]成员参数结构说明
| 参数名 | type | 必选 | 说明 |
|---|---|---|---|
| qtype | string | Y | 查询语句的类型 dql: 表示dql类型查询语句; promql: 表示 PromQl类型查询语句 |
| query | json | Y | 查询结构 |
| query.q | string | 与 qtype 类型保持一致的 查询语句，例如 dql 或者 promql 查询语句 | |
| query.highlight | boolean | 是否显示高亮数据 | |
| query.timeRange | array | 时间范围的时间戳列表 | |
| query.disableMultipleField | bool | 是否打开单列模式，默认为 true |
|
| query.showLabel | bool | 是否显示对象的lables，默认无 | |
| query.funcList | array | 再次聚合修饰dql返回值，注意 disableMultipleField=Flse时, 当前参数无效 | |
| query.slimit | integer | 时间线分组大小，只针对指标查询有效 | |
| query.soffset | integer | 时间线分组偏移量 | |
| query.limit | integer | 分页大小 | |
| query.offset | integer | 分页偏移量 | |
| query.orderby | array | 排序列表，{fieldName:method} , 注意指标集查询的排序只支持 fieldName=time; method in ["desc", "asc"];注意指标集查询的排序只支持 fieldName=time |
|
| query.density | string | 响应的点密度, 优先级小于 autoDensity 且大于 dql语句中设置的密度 | |
| query.interval | integer | 单位是秒，时间分片间隔，用于计算响应点数；计算出的点数小于等于density=high时的点数，则有效，否则无效 | |
| query.search_after | array | 分页标记, 由当前接口返回的分页标记，用于下一次请求时传入 | |
| query.maxPointCount | integer | 最大点数 | |
| query.workspaceUUID | string | 要查询工作空间的uuid | |
| query.output_format | string | lineprotocol: 行协议输出，默认不填的话，默认保持现有输出格式不变 | |
| query.cursor_time | integer | 分段查询阀值: 第一次分段查询时，需要把 cursor_time 设置为 end_time；之后的分段查询，需要把 cursor_time 设置为响应中的 next_cursor_time | |
| query.disable_sampling | bool | 采样禁用开关, 默认值为 false |
- 响应点密度
density参数值说明
| 可选值 | 说明 |
|---|---|
| lower | 较低，60个点 |
| low | 低，180个点 |
| medium | 中等，360个点 |
| high | 低，720个点 |
- 注意点密度参数的优先级，最大密度
density[high]* maxPointCount > interval > density > dql语句中的控制参数
请求例子¶
curl 'https://openapi.guance.com/api/v1/df/query_data?body=\{%22queries%22:\[\{%22uuid%22:%2205ea25f0-2fa3-11ee-aa03-57233270ef0c%22,%22qtype%22:%22dql%22,%22query%22:\{%22q%22:%22L::re(`.*`):(`*`)\{+`index`+IN+\[%27default%27\]+\}%22,%22highlight%22:true,%22limit%22:50,%22orderby%22:\[\{%22time%22:%22desc%22\}\],%22_funcList%22:\[\],%22funcList%22:\[\],%22disableMultipleField%22:false,%22align_time%22:false,%22is_optimized%22:true,%22offset%22:0,%22search_after%22:\[1690808645037,538070,%22L_1690808645037_cj3r2itnel8fnfu5tlag%22\],%22timeRange%22:\[1690807857000,1690808757999\],%22tz%22:%22Asia/Shanghai%22\}\}\],%22expensiveQueryCheck%22:true\}' \
-H 'DF-API-KEY: <DF-API-KEY>' \
--compressed
响应¶
{
"code": 200,
"content": {
"data": [
{
"AsyncTaskPayload": null,
"async_id": "",
"column_names": [
"container_id",
"source",
"filepath",
"image",
"index",
"df_metering_size",
"__namespace",
"host",
"log_read_offset",
"__docid",
"filename",
"service",
"image_name",
"image_short_name",
"image_tag",
"log_read_lines",
"message",
"log_read_time",
"container_name",
"container_type",
"message_length",
"create_time",
"container_runtime_name",
"date_ns",
"status"
],
"complete": false,
"cost": "19ms",
"index_name": "",
"index_names": "",
"index_store_type": "es",
"is_running": false,
"points": null,
"query_type": "",
"raw_query": "{\\\"aggs\\\":{},\\\"_source\\\":{\\\"excludes\\\":[\\\"message@json\\\"],\\\"includes\\\":[]},\\\"query\\\":{\\\"bool\\\":{\\\"filter\\\":[{\\\"term\\\":{\\\"__namespace\\\":\\\"logging\\\"}},{\\\"range\\\":{\\\"date\\\":{\\\"gte\\\":\\\"1680187562081\\\",\\\"lte\\\":\\\"1680230762081\\\"}}},{\\\"bool\\\":{\\\"should\\\":[{\\\"terms\\\":{\\\"index\\\":[\\\"default\\\"]}}]}}]}},\\\"size\\\":50,\\\"sort\\\":[{\\\"date\\\":{\\\"missing\\\":\\\"_last\\\",\\\"order\\\":\\\"desc\\\",\\\"unmapped_type\\\":\\\"long\\\"}},{\\\"date_ns\\\":{\\\"missing\\\":\\\"_last\\\",\\\"order\\\":\\\"desc\\\",\\\"unmapped_type\\\":\\\"long\\\"}},{\\\"__docid\\\":{\\\"missing\\\":\\\"_first\\\",\\\"order\\\":\\\"desc\\\",\\\"unmapped_type\\\":\\\"string\\\"}}],\\\"search_after\\\":[1680226330509,8572,\\\"L_1680226330509_cgj4hqbrhi85kl1m6os0\\\"],\\\"timeout\\\":\\\"54s\\\"}",
"search_after": [
1680226330508,
82936,
"L_1680226330508_cgj4hbdepb7fcn07sf60"
],
"series": [
{
"columns": [
"container_id",
"time",
"source",
"filepath",
"image",
"index",
"df_metering_size",
"__namespace",
"host",
"log_read_offset",
"__docid",
"filename",
"service",
"image_name",
"image_short_name",
"image_tag",
"log_read_lines",
"message",
"log_read_time",
"container_name",
"container_type",
"message_length",
"create_time",
"container_runtime_name",
"date_ns",
"status"
],
"values": [
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],
"total_hits": 10000
}
]
},
"errorCode": "",
"message": "",
"success": true,
"traceId": "TRACE-CD50CBBD-E29B-4F58-BD6B-618EED50920A"
}