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The query most likely responsible for the load is 'SELECT * from uyeler', since the uyeler table contains 14 megabytes of raw data and 13 megabytes of indexes. This query was being run constantly, so even if the table contained a trivial amount of records, they were being constantly requested, which caused the load issue.

You should inform your client that they need to modify the code of their applications to optimize resource/MySQL usage. This would include making specific requests from the database, instead of 'SELECT * FROM uyeler'.

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