Conquering Mammoth Database Backups: Splitting mysqldump Files with Ease

2024-07-27

Splitting Large mysqldump Output into Smaller Files

This is a common tool available on most systems. It allows splitting a file based on lines or bytes. Here's an example:

mysqldump your_database > entire_dump.sql && split -l 10000 entire_dump.sql split_ -d

This command dumps your database into entire_dump.sql and then splits it into files named split_00, split_01, and so on, with each file containing approximately 10,000 lines (adjust the -l option for desired size).

Piping to head and tail:

These commands can be used to extract specific sections of a file. Here's an example:

mysqldump your_database | head -n 10000 > split_01.sql | tail -n +10001 > entire_dump_remaining.sql

This approach pipes the mysqldump output to head which extracts the first 10,000 lines and writes them to split_01.sql. The remaining output is then piped to tail which removes the first 10,000 lines and writes the remaining data to entire_dump_remaining.sql. This process can be repeated to create multiple split files.

Python Script:

For more flexibility, you can write a Python script to handle the splitting:

def split_dump(filename, lines_per_file):
  with open(filename, 'r') as f:
    lines = f.readlines()
    start = 0
    for i in range(0, len(lines), lines_per_file):
      end = i + lines_per_file
      with open(f"split_{i}.sql", 'w') as out:
        out.writelines(lines[start:end])
      start = end

# Example usage
split_dump("entire_dump.sql", 5000)

This script reads the entire dump file, iterates through lines in chunks of a specified size, and writes each chunk to a separate file with a sequential naming convention.

Related Issues and Solutions:

  • Maintaining data integrity: When splitting based on lines, ensure each split file contains complete statements (e.g., full CREATE TABLE statements).
  • Splitting by table size: If your goal is to split by table size instead of lines, consider using tools like mysqldumpsplitter.jar which can split the dump based on table boundaries.

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