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  1. docs/metrics/prometheus/list.md

    # Cluster Metrics
    
    MinIO collects the following metrics at the cluster level.
    Metrics may include one or more labels, such as the server that calculated that metric.
    
    These metrics can be obtained from any MinIO server once per collection by using the following URL:
    
    ```shell
    https://HOSTNAME:PORT/minio/v2/metrics/cluster
    ```
    
    Replace ``HOSTNAME:PORT`` with the hostname of your MinIO deployment.
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  2. docs/throttle/README.md

    ```
    
    or
    
    ```sh
    mc admin config set myminio/ api requests_max=1600
    mc admin service restart myminio/
    ```
    
    > NOTE: A zero value of `requests_max` means MinIO will automatically calculate requests based on available RAM size and that is the default behavior.
    
    ### Configuring connection (wait) deadline
    
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  3. docs/distributed/DESIGN.md

    - Erasure set is a single erasure coding unit within a MinIO deployment. An object is sharded within an erasure set. Erasure set size is automatically calculated based on the number of drives. MinIO supports unlimited number of drives but each erasure set can be upto 16 drives and a minimum of 2 drives.
    
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  4. docs/erasure/storage-class/README.md

    |               16 |              13 |                 3 |                1.23 |
    |               16 |              14 |                 2 |                1.14 |
    
    You can calculate _approximate_ storage usage ratio using the formula - total drives (N) / data drives (D).
    
    ### Allowed values for STANDARD storage class
    
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  5. docs/bigdata/README.md

    ### **4.1 Spark Pi**
    
    Test the Spark installation by running the following compute intensive example, which calculates pi by “throwing darts” at a circle. The program generates points in the unit square ((0,0) to (1,1)) and counts how many points fall within the unit circle within the square. The result approximates pi.
    
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