(mongo) 6 queries took 43 ms
| Nr | Query | Error | Affected | Num. rows | Took (ms) |
|---|
| 1 | db.articles.find( {"broadcastto":{"$in":["colton-oh","oh","usa"]},"publish_date":{"$lte":"MongoDate(0.74300000 1738858854)"},"tags":"hunt"}, [] ).sort( {"featured":-1,"publish_date":-1} ).limit( 2 ).skip( 0 ) | | 0 | 2 | 10 |
| 2 | db.articles.find( {"broadcastto":{"$in":["colton-oh","oh","usa"]},"publish_date":{"$lte":"MongoDate(0.74200000 1738858854)"},"article_id":{"$ne":1302},"tags":"hunt"}, [] ).sort( {"publish_date":-1} ).limit( 16 ).skip( 0 ) | | 0 | 16 | 3 |
| 3 | db.events_cache.find( {"_id":"c658bf10c0f6cc8cff38b1531ed9b39d"}, [] ).sort( [] ).limit( 1 ).skip( 0 ) | | 0 | 1 | 2 |
| 4 | db.articles.find( {"broadcastto":{"$in":["colton-oh","oh","usa"]},"publish_date":{"$lte":"MongoDate(0.83800000 1738858854)"},"$or":[{"tags":"hunt"},{"tags":"hunt-featured"}]}, [] ).sort( {"featured":-1,"publish_date":-1} ).limit( 2 ).skip( 0 ) | | 0 | 2 | 3 |
| 5 | db.preserves.find( {"aggregate":[{"$geoNear":{"near":[-83.95249938964844,41.46419906616211],"distanceField":"distance","distanceMultiplier":3963.2,"maxDistance":0.025232135647961243,"spherical":true}},{"$sort":{"nssf_member":-1,"distance":1}},{"$sort":{"nssf_member":-1,"distance":1}},{"$skip":0},{"$limit":10}]}, [] ).sort( {"nssf_member":-1,"distance":1} ).limit( 10 ).skip( 0 ) | | 0 | 10 | 22 |
| 6 | db.preserves.count( {"aggregate":[{"$geoNear":{"near":[-83.95249938964844,41.46419906616211],"distanceField":"distance","distanceMultiplier":3963.2,"maxDistance":0.025232135647961243,"spherical":true}}]} ) | | 0 | 13 | 3 |
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