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What steps can I take to prevent the accumulation of numerous small files in my dataset while operating in incremental mode?

asked 2021-12-30 11:00:00 +0000

ladyg gravatar image

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answered 2021-05-27 01:00:00 +0000

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  1. Set a minimum file size threshold: Consider setting a minimum file size threshold below which new files will not be created. For example, if you set the threshold at 1MB, your program will not create a new file until the current file size exceeds 1MB.

  2. Use appropriate file formats: Consider using file formats like HDF5, NetCDF, or other binary formats that allow efficient management of large datasets. These formats can help with the creation of larger files, instead of generating numerous small files.

  3. Use compression: Compressing the data can help prevent the accumulation of small files by allowing more data to be stored in a single file.

  4. Implement a data aggregation strategy: In cases where the data is being used for generating metrics or summary statistics, implementing a data aggregation strategy can help prevent the accumulation of small files.

  5. Implement a data cleaning strategy: Frequently deleting older, less relevant data can help reduce the number of files in the dataset.

  6. Monitor dataset growth: Constant monitoring of the dataset growth can help you take proactive steps to prevent the accumulation of numerous small files.

  7. Split data into larger files: You can split data into larger files manually or using data processing libraries to store data in larger files with predetermined sizes.

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Asked: 2021-12-30 11:00:00 +0000

Seen: 8 times

Last updated: May 27 '21