Esta es su primera consulta:
SELECT A.log_type, count(*) as distinct_count, sum(A.total_count) as total_count
from (SELECT log_type, count(subscriber_id) as total_count
FROM stats.campaign_logs
WHERE domain = 'xxx' AND campaign_id = '12345' AND
log_type IN ('EMAIL_SENT', 'EMAIL_CLICKED', 'EMAIL_OPENED', 'UNSUBSCRIBED') AND
DATE(CONVERT_TZ(log_time,'+00:00','+05:30')) BETWEEN DATE('2015-02-12 00:00:00') AND DATE('2015-02-19 23:59:58')
GROUP BY subscriber_id,log_type) A
GROUP BY A.log_type;
Se escribe mejor como:
SELECT log_type, count(DISTINCT subscriber_id) as total_count
FROM stats.campaign_logs
WHERE domain = 'xxx' AND campaign_id = '12345' AND
log_type IN ('EMAIL_SENT', 'EMAIL_CLICKED', 'EMAIL_OPENED', 'UNSUBSCRIBED') AND
DATE(CONVERT_TZ(log_time, '+00:00', '+05:30')) BETWEEN DATE('2015-02-12 00:00:00') AND DATE('2015-02-19 23:59:58')
GROUP BY log_type;
El mejor índice sobre esto es probablemente:campaign_logs(domain, campaign_id, log_type, log_time, subscriber_id) . Este es un índice de cobertura para la consulta. Las primeras tres teclas deben usarse para el where filtración.
