Build Materialized Views on Top of Time Series Data在时间序列数据之上构建物化视图

Materialized views on time series data are useful for:时间序列数据的物化视图有助于：

• archiving归档
• analytics分析
• facilitating data access for teams that cannot access the raw data为无法访问原始数据的团队提供数据访问便利

To create an On-Demand Materialized view, use the $merge aggregation pipeline stage to transform and store your data:要创建按需物化视图，请使用$merge聚合管道阶段转换和存储数据：

db.weather.aggregate([
  {
     $project: {
        date: {
           $dateToParts: { date: "$timestamp" }
        },
        temp: 1
     }
  },
  {
     $group: {
        _id: {
           date: {
              year: "$date.year",
              month: "$date.month",
              day: "$date.day"
           }
        },
        avgTmp: { $avg: "$temp" }
     }
  }, {
     $merge: { into: "dailytemperatureaverages", whenMatched: "replace" }
  }
])

The preceding pipeline, will create or update the dailytemperatureaverages collection with all daily temperature averages based on the weather collection.前面的管道将创建或更新基于weather集合的所有每日温度平均值的dailytemperatureaverages集合。

For more information on materialized views, see On-Demand Materialized Views.有关物化视图的更多信息，请参阅按需物化视图。