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Results 1 - 3 of 3 for Kantor (0.17 sec)

  1. docs/bigdata/README.md

    mapreduce.reduce.shuffle.input.buffer.percent=0.9 # Min % buffer in RAM
    mapreduce.reduce.shuffle.merge.percent=0.9 # Minimum % merges in RAM
    mapreduce.reduce.speculative=false # Disable speculation for reducing
    mapreduce.task.io.sort.factor=999 # Threshold before writing to disk
    mapreduce.task.sort.spill.percent=0.9 # Minimum % before spilling to disk
    ```
    
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  2. docs/config/README.md

    max_wait  (duration)  maximum wait time between operations, defaults to '15s'
    cycle     (duration)  time duration between scanner cycles
    ```
    
    Example: the following setting will decrease the scanner speed by a factor of 3, reducing the system resource use, but increasing the latency of updates being reflected.
    
    ```sh
    ~ mc admin config set alias/ scanner delay=30.0
    ```
    
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  3. docs/compression/README.md

    - Already compressed objects are not fit for compression since they do not have compressible patterns.
    Such objects do not produce efficient [`LZ compression`](https://en.wikipedia.org/wiki/LZ77_and_LZ78)
    which is a fitness factor for a lossless data compression.
    
    Pre-compressed input typically compresses in excess of 2GiB/s per core,
    so performance impact should be minimal even if precompressed data is re-compressed.
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