Downsampling in InfluxDB 2.x allows users to aggregate high-resolution time series data within windows of time and store the lower resolution aggregation to a new bucket, reducing disk usage and improving query performance. Downsampling gets an upgrade in InfluxDB 2.x, enabling users to execute downsampling tasks with a single language - Flux. Users can create downsampling tasks through the CLI or UI, managing them through the UI for easier organization and visualization of time series pipeline. Retention policies for different resolution data are crucial for successful downsampling task creation. Downsampling also helps speed up queries over large time ranges by reducing the amount of data evaluated as part of the query. InfluxDB 2.x allows users to perform multiple aggregations simultaneously, such as mean and count, using Flux scripts or visualizing them in the UI. Users can choose from various methods to perform these aggregations, including union, join, or custom aggregations using the reduce() function. Downsampling is a common time series database task that often requires for time series database users, helping preserve data shape without sacrificing unnecessary disk space and speeding up queries over large time ranges.