: Very Slow Query | Taking time in fetching | Data Size : 2-3 Million documents in a collection and there are around 13-15 such collections.
: Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 6 On-line CPU(s) list: 0-5 Thread(s) per core: 1 Core(s) per socket: 6 Socket(s): 1 NUMA node(s): 1 Vendor ID: GenuineIntel CPU family: 6 Model: 79 Stepping: 1 CPU MHz: 2097.570 BogoMIPS: 4195.14 Hypervisor vendor: VMware Virtualization type: full L1d cache: 32K L1i cache: 32K L2 cache: 256K L3 cache: 20480K NUMA node0 CPU(s): 0-5
MemTotal: 16432268 kB
I have done indexing on the tables and that is working fine but still, the system is taking a lot of time:
Query:
db.vnms_vccells_5.find({auid:"<1e000097>",
hub_ip:"10.252.0.105",sector_ip:"<1e000046>",
last_updated_time:{$gt:"2016-12-24 05:49:00"}})
.explain("executionStats")
Below is the query planner:
{
"queryPlanner": {
"plannerVersion": 1,
"namespace": "opennms.vnms_vccells_5",
"indexFilterSet": false,
"parsedQuery": {
"$and": [{
"auid": {
"$eq": "<1e000097>"
}
}, {
"hub_ip": {
"$eq": "10.252.0.105"
}
}, {
"sector_ip": {
"$eq": "<1e000046>"
}
}, {
"last_updated_time": {
"$gt": "2016-12-24 05:49:00"
}
}]
},
"winningPlan": {
"stage": "FETCH",
"inputStage": {
"stage": "IXSCAN",
"keyPattern": {
"auid": 1,
"hub_ip": 1,
"sector_ip": 1,
"last_updated_time": -1
},
"indexName": "auid_1_hub_ip_1_sector_ip_1_last_updated_time_-1",
"isMultiKey": false,
"multiKeyPaths": {
"auid": [],
"hub_ip": [],
"sector_ip": [],
"last_updated_time": []
},
"isUnique": false,
"isSparse": false,
"isPartial": false,
"indexVersion": 2,
"direction": "forward",
"indexBounds": {
"auid": ["[\"<1e000097>\", \"<1e000097>\"]"],
"hub_ip": ["[\"10.252.0.105\", \"10.252.0.105\"]"],
"sector_ip": ["[\"<1e000046>\", \"<1e000046>\"]"],
"last_updated_time": ["({}, \"2016-12-24 05:49:00\")"]
}
}
},
"rejectedPlans": []
},
"executionStats": {
"executionSuccess": true,
"nReturned": 28788,
"executionTimeMillis": 34989,
"totalKeysExamined": 28788,
"totalDocsExamined": 28788,
"executionStages": {
"stage": "FETCH",
"nReturned": 28788,
"executionTimeMillisEstimate": 34475,
"works": 28789,
"advanced": 28788,
"needTime": 0,
"needYield": 0,
"saveState": 1039,
"restoreState": 1039,
"isEOF": 1,
"invalidates": 0,
"docsExamined": 28788,
"alreadyHasObj": 0,
"inputStage": {
"stage": "IXSCAN",
"nReturned": 28788,
"executionTimeMillisEstimate": 7730,
"works": 28789,
"advanced": 28788,
"needTime": 0,
"needYield": 0,
"saveState": 1039,
"restoreState": 1039,
"isEOF": 1,
"invalidates": 0,
"keyPattern": {
"auid": 1,
"hub_ip": 1,
"sector_ip": 1,
"last_updated_time": -1
},
"indexName": "auid_1_hub_ip_1_sector_ip_1_last_updated_time_-1",
"isMultiKey": false,
"multiKeyPaths": {
"auid": [],
"hub_ip": [],
"sector_ip": [],
"last_updated_time": []
},
"isUnique": false,
"isSparse": false,
"isPartial": false,
"indexVersion": 2,
"direction": "forward",
"indexBounds": {
"auid": ["[\"<1e000097>\", \"<1e000097>\"]"],
"hub_ip": ["[\"10.252.0.105\", \"10.252.0.105\"]"],
"sector_ip": ["[\"<1e000046>\", \"<1e000046>\"]"],
"last_updated_time": ["({}, \"2016-12-24 05:49:00\")"]
},
"keysExamined": 28788,
"seeks": 1,
"dupsTested": 0,
"dupsDropped": 0,
"seenInvalidated": 0
}
}
},
"serverInfo": {
"host": "vnms",
"port": 27017,
"version": "4.0.5",
"gitVersion": "3739429dd92b92d1b0ab120911a23d50bf03c412"
},
"ok": 1
}
mongostat data:
insert query update delete getmore command dirty used flushes vsize res qrw arw net_in net_out conn time
*0 *0 *0 *0 0 3|0 0.0% 80.0% 0 5.26G 3.52G 0|0 3|0 254b 101k 7 Jan 23 10:20:41.082
The query performance is limited by your resources. Here are a few tips
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