write the queries for the [login to view URL] which attached to this project ( do this project in python ) :
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[login to view URL] the “[login to view URL]” database and look around.
[login to view URL] a query including a join that returns at least 1000 items using non-indexed values.
[login to view URL] that selection to filter at most 10 items.
[login to view URL] that query. Use “explain” to verify [login to view URL] that your optimized query is faster than the original. Use average time of 100 queries, and the time of the first query after starting the database.
[login to view URL] points for plotting times and standard deviation.
Looks OK for me.
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