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High volume insert/select/delete
Posted by: Ravi Govind
Date: September 22, 2010 08:20AM

I have an operational logic as follows

TEMP_TABLE_USER --> UID UNSIGNED INT [single column, fixed size table, max rows=5k]

int i=total_size=minVal=0;
int maxVal=integer-max-val;
while(i<n&&total_size<=100) {

1. Bulk Insert into TEMP_TABLE_USER k rows {k<=5000}
2. select UID from TEMP_TABLE_USER m1 INNER JOIN BASE_TABLE_USER m2 WHERE
m1.UID=m2.UID AND UID>minVal AND UID<=maxVal AND some extra where
conditions on BASE_TABLE_USER
LIMIT 100;
[BASE_TABLE_USER has UID as PRIMARY KEY, m rows {m<=100,000}, MyISAM table]
3. total_size+=sizeof select from Step 2 [check if 100 matches are found]
4. minVal=MIN(UID) from Step 2; maxVal=MAX(UID) from Step 2.
5. DELETE FROM TEMP_TABLE_USER WHERE UID NOT IN (uids obtained in step2)
AND UID>=MIN_UID AND UID<=MAX_UID [Delete rows to compact temp table]
6. i++
}

Whenever 100 matches are found, the program exits.

Considering worst case of n=50 for obtaining 100 matches. It implies around 250,000[50*5k] rows will be inserted/selected/deleted continuously

Will a HEAP table be beneficial for such a logic?. Since we insert/delete only 5k rows constantly, there should be constant recycled memory usage. But will it withstand such high volume insert/select/delete in very less amt of time [approx time taken should be<=1.5 seconds]

This need to be looked at scaling perspective also, where the same logic will run in parallel for a maximum of 2000 users concurrently [each user has his own temp table and base table] in different schemas on the same physical DB machine.

Regards,
Ravi

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