influxdata / influxdata/influxdb-client-python
Missleading warning in query "buckets()"
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bug
- 主要语言
- Python
- 星标
- 793
- 派生
- 186
- 平均合并
- 3 小时 2 分钟
- 30 天内合并 PR
- 1
描述
Specifications
- Client Version: v2.6.1
- InfluxDB Version: 'X-Influxdb-Build': 'OSS', 'X-Influxdb-Version': 'v2.6.1'
- Platform: Ubuntu 22.04.2 LTS, Python 3.10.6
- Create a client to a local influx server.
- Query the buckets
the last step prints a warning messages that provides a non-working solution. The solution does not apply to the returned table.
Code sample to reproduce problem
>>> from influxdb_client import InfluxDBClient
>>> c = InfluxDBClient(url="http://localhost:8086", org=..., token=...);
>>> r_api = c.query_api()
>>> r_api.query_data_frame(query='buckets()')
/home/juanpi/virtual_enviroments/wabesense-data/lib/python3.10/site-packages/influxdb_client/client/warnings.py:31: MissingPivotFunction: The query doesn't contains the pivot() function.
The result will not be shaped to optimal processing by pandas.DataFrame. Use the pivot() function by:
buckets() |> pivot(rowKey:["_time"], columnKey: ["_field"], valueColumn: "_value")
You can disable this warning by:
import warnings
from influxdb_client.client.warnings import MissingPivotFunction
warnings.simplefilter("ignore", MissingPivotFunction)
For more info see:
- https://docs.influxdata.com/resources/videos/pivots-in-flux/
- https://docs.influxdata.com/flux/latest/stdlib/universe/pivot/
- https://docs.influxdata.com/flux/latest/stdlib/influxdata/influxdb/schema/fieldsascols/
warnings.warn(message, MissingPivotFunction)
result table name id organizationID retentionPolicy retentionPeriod
0 _result 0 _monitoring 9ff20ba199aff20d 1f4f3678a832d418 None 604800000000000
1 _result 0 _tasks 7de84af1deb77ca4 1f4f3678a832d418 None 259200000000000
2 _result 0 scratch c7902563eb5f9007 1f4f3678a832d418 None 604800000000000
Expected behavior
Either the suggested solution should be correct, or no warning should be emitted.
Actual behavior
A solution is provided that does not apply to the returned table.
Additional info
No response
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调研方向
使用示例通过 InfluxDBClient.query_api().query_data_frame(query='buckets()') 重现警告,并检查此入口点附近的警告行为。完成的标准是针对该结果抑制警告,或使建议的查询生成有效的结果形状;根据所示的 buckets 表验证更改。
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- pandas, python
- 领域
- databases
- Issue 类型
- 缺陷
- 难度
- 3/5
- 预计耗时
- 1-2 天
- 活跃度
- 停滞
- 描述清晰度
- 基本清楚
- 新手友好度
- 42/100