Concurrency.
Now that I've had a few beers, and few cups of coffee, I've had time to arrange brain cells in the right trays.. This is what I've found on Concurency with a table doing a FTS.
First.. single query.. 33g. 1/2 rack does 10.4g/second as advertised.. the single query doing a FTS runs in 3.3 seconds (or so).
Now scale up to 10 processes.. The 10 processes all scour 33.g gig apiece, the time goes up. The secret is to cut down the I/O requests at the DB layer to limit the data scoured.
Now that I've had a few beers, and few cups of coffee, I've had time to arrange brain cells in the right trays.. This is what I've found on Concurency with a table doing a FTS.
First.. single query.. 33g. 1/2 rack does 10.4g/second as advertised.. the single query doing a FTS runs in 3.3 seconds (or so).
Now scale up to 10 processes.. The 10 processes all scour 33.g gig apiece, the time goes up. The secret is to cut down the I/O requests at the DB layer to limit the data scoured.
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