Details
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Improvement
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Status: Closed
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Major - P3
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Resolution: Gone away
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None
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None
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None
Description
In 3.2 I get the following.
MongoDB Enterprise > db.system.profile.find().limit(10).sort( { ts : -1 } ).pretty()
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{
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"op" : "query",
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"ns" : "test.testcol",
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"query" : {
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"find" : "testcol",
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"filter" : {
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}
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},
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"keysExamined" : 0,
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"docsExamined" : 1,
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"cursorExhausted" : true,
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"keyUpdates" : 0,
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"writeConflicts" : 0,
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"numYield" : 0,
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"locks" : {
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"Global" : {
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"acquireCount" : {
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"r" : NumberLong(2)
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}
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},
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"Database" : {
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"acquireCount" : {
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"r" : NumberLong(1)
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}
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},
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"Collection" : {
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"acquireCount" : {
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"r" : NumberLong(1)
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}
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}
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},
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"nreturned" : 1,
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"responseLength" : 139,
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"protocol" : "op_command",
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"millis" : 0,
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"execStats" : {
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"stage" : "COLLSCAN",
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"filter" : {
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"$and" : [ ]
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},
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"nReturned" : 1,
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"executionTimeMillisEstimate" : 0,
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"works" : 3,
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"advanced" : 1,
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"needTime" : 1,
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"needYield" : 0,
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"saveState" : 0,
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"restoreState" : 0,
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"isEOF" : 1,
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"invalidates" : 0,
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"direction" : "forward",
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"docsExamined" : 1
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},
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"ts" : ISODate("2016-03-24T14:09:40.200Z"),
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"client" : "127.0.0.1",
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"allUsers" : [ ],
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"user" : ""
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}
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I know "cursorExhausted" : true means the cursor was consumed. I would like to capture the ID regardless. I want to be able to take a slow query from the mongod.log and get deeper stats on it without having to parse and do complicated queries. My colleague did a getmore and got:
{
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"op" : "getmore",
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"ns" : "test.test",
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"query" : {
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"getMore" : NumberLong("32613554020"),
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"collection" : "test"
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},
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"cursorid" : 32613554020,
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"cursorExhausted" : true,
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"keyUpdates" : 0,
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"writeConflicts" : 0,
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"numYield" : 7,
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"locks" : {
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"Global" : {
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"acquireCount" : {
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"r" : NumberLong(16)
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}
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},
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"Database" : {
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"acquireCount" : {
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"r" : NumberLong(8)
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}
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},
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"Collection" : {
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"acquireCount" : {
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"r" : NumberLong(8)
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}
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}
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},
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"nreturned" : 899,
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"responseLength" : 34133,
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"protocol" : "op_command",
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"millis" : 3,
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"execStats" : {
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},
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"ts" : ISODate("2016-03-24T13:58:47.891Z"),
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"client" : "127.0.0.1",
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"allUsers" : [ ],
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"user" : ""
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}
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I'd like the output to be consistent, to capture the cursorID in all cases to be able to compare to the mongod.log and to also be able to use the system.profile for diagnostics.