546 mongodb data_error ai_generated true

MongoServerError: time series bucket closing too early: bucket with min time < meta.maxTime already closed

ID: mongodb/timeseries-bucket-closing-too-early

Also available as: JSON · Markdown · 中文
85%Fix Rate
82%Confidence
1Evidence
2023-11-10First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
mongodb 7.0 active — — —
mongodb 6.0 active — — —

Root Cause

Time series bucket was closed prematurely due to a misconfigured timeField or metaField, causing data to be inserted into an already closed bucket.

generic

中文

由于timeField或metaField配置错误，时间序列桶被过早关闭，导致数据被插入到已关闭的桶中。

Official Documentation

https://www.mongodb.com/docs/manual/core/timeseries-collections/#bucket-closing

Workarounds

  1. 90% success Correct the timeField and metaField in the collection schema: db.createCollection('sensor_data', { timeseries: { timeField: 'timestamp', metaField: 'sensor_id', granularity: 'seconds' } }) 
    Correct the timeField and metaField in the collection schema: db.createCollection('sensor_data', { timeseries: { timeField: 'timestamp', metaField: 'sensor_id', granularity: 'seconds' } })
  2. 80% success Use a bucket granularity that matches data frequency (e.g., 'hours' for hourly data) to prevent premature closing. 
    Use a bucket granularity that matches data frequency (e.g., 'hours' for hourly data) to prevent premature closing.

中文步骤

  1. 修正集合架构中的timeField和metaField：db.createCollection('sensor_data', { timeseries: { timeField: 'timestamp', metaField: 'sensor_id', granularity: 'seconds' } })
  2. 使用与数据频率匹配的桶粒度（例如，对于每小时数据使用'hours'）以防止过早关闭。

Dead Ends

Common approaches that don't work:

  1. 85% fail

    The same misconfiguration will cause the error again.

  2. 90% fail

    The error is about closing logic, not span; incorrect metaField is the root cause.