(mongo) 6 queries took 59 ms
| Nr | Query | Error | Affected | Num. rows | Took (ms) |
|---|
| 1 | db.articles.find( {"broadcastto":{"$in":["kenmore-ny","ny","usa"]},"publish_date":{"$lte":"MongoDate(0.63700000 1732371640)"},"tags":"hunt"}, [] ).sort( {"featured":-1,"publish_date":-1} ).limit( 2 ).skip( 0 ) | | 0 | 2 | 7 |
| 2 | db.articles.find( {"broadcastto":{"$in":["kenmore-ny","ny","usa"]},"publish_date":{"$lte":"MongoDate(0.63700000 1732371640)"},"article_id":{"$ne":1302},"tags":"hunt"}, [] ).sort( {"publish_date":-1} ).limit( 16 ).skip( 0 ) | | 0 | 16 | 2 |
| 3 | db.events_cache.find( {"_id":"d95c0cf021400bfeae80958f1725ed8f"}, [] ).sort( [] ).limit( 1 ).skip( 0 ) | | 0 | 1 | 2 |
| 4 | db.articles.find( {"broadcastto":{"$in":["kenmore-ny","ny","usa"]},"publish_date":{"$lte":"MongoDate(0.71700000 1732371640)"},"$or":[{"tags":"hunt"},{"tags":"hunt-featured"}]}, [] ).sort( {"featured":-1,"publish_date":-1} ).limit( 2 ).skip( 0 ) | | 0 | 2 | 26 |
| 5 | db.preserves.find( {"aggregate":[{"$geoNear":{"near":[-78.87789916992188,42.88690185546875],"distanceField":"distance","distanceMultiplier":3963.2,"maxDistance":0.025232135647961243,"spherical":true}},{"$sort":{"nssf_member":-1,"distance":1}},{"$sort":{"nssf_member":-1,"distance":1}},{"$skip":0},{"$limit":10}]}, [] ).sort( {"nssf_member":-1,"distance":1} ).limit( 10 ).skip( 0 ) | | 0 | 9 | 19 |
| 6 | db.preserves.count( {"aggregate":[{"$geoNear":{"near":[-78.87789916992188,42.88690185546875],"distanceField":"distance","distanceMultiplier":3963.2,"maxDistance":0.025232135647961243,"spherical":true}}]} ) | | 0 | 9 | 3 |
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