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Asked: May 10, 20262026-05-10T20:39:40+00:00 2026-05-10T20:39:40+00:00

I have written a program in C to parse large XML files and then

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I have written a program in C to parse large XML files and then create files with insert statements. Some other process would ingest the files into a MySQL database. This data will serve as a indexing service so that users can find documents easily.

I have chosen InnoDB for the ability of row-level locking. The C program will be generating any where from 500 to 5 million insert statements on a given invocation.

What is the best way to get all this data into the database as quickly as possible? The other thing to note is that the DB is on a separate server. Is it worth moving the files over to that server to speed up inserts?

EDIT: This table won’t really be updated, but rows will be deleted.

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  1. 2026-05-10T20:39:40+00:00Added an answer on May 10, 2026 at 8:39 pm
    • Use the mysqlimport tool or the LOAD DATA INFILE command.
    • Temporarily disable indices that you don’t need for data integrity
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