mongodb服务整体状态信息：
db.runCommand( { serverStatus: 1 } )
db.serverStatus()
获取mongodb版本信息：
glc-test:SECONDARY> db.runCommand({serverStatus:1}).version
4.0.17-10
glc-test:SECONDARY>
服务已经运行时间（单位为秒）：
mongod服务启动后到现在已经存活的秒数：
glc-test:SECONDARY> db.runCommand({serverStatus:1}).uptime
2075
glc-test:SECONDARY>
进程类型（分mongod和mongos两种）：
glc-test:SECONDARY> db.runCommand({serverStatus:1}).process
mongod
glc-test:SECONDARY>
####################
mongos> db.runCommand({serverStatus:1}).process
mongos
mongos>
断言信息：
# 例如我们去查看断言的asserts 其中例如 warning , user 数量的变化,在有明显的某段时间的增量后,就需要对mongodb的日志进行观察,查询了
# asserts: 报告自MongoDB进程启动以来引发的断言数目的文档。虽然断言错误一般不常见，但如果asserts非零，则应检查日志文件以获取更多信息。在许多情况下，这些错误是微不足道的，但值得研究。
# asserts.regular: 自MongoDB进程启动以来引发的常规断言数。检查日志文件以获取有关这些消息的更多信息。
# asserts.warning: 在4.0版中更改, 从MongoDB 4.0开始，该字段返回零0。在早期版本中，该字段返回自MongoDB进程启动以来引发的警告数。
# asserts.msg: 自MongoDB进程启动以来引发的消息断言数。检查日志文件以获取更多信息。
# asserts.user: 自上次MongoDB进程启动以来发生的“用户断言”数。这些是用户可能生成的错误，例如磁盘空间不足或重复密钥。您可以通过修复应用程序或部署问题来阻止这些断言。查看MongoDB日志以获取更多信息。
# asserts.rollovers:自上次MongoDB进程启动以来翻转计数器已翻转的次数。在2^30个断言之后，计数器将翻转为零。使用此值可为asserts数据结构中的其他值提供上下文 。
mongos> db.runCommand({serverStatus:1}).asserts
{
"regular" : 0,
"warning" : 0,
"msg" : 0,
"user" : 9538,
"rollovers" : 0
}
mongos>
#################################
glc-test:SECONDARY> db.runCommand({serverStatus:1}).asserts
{ "regular" : 0, "warning" : 0, "msg" : 0, "user" : 48, "rollovers" : 0 }
glc-test:SECONDARY>
页缺失数量：
extra_info[page_faults]: 页缺失的次数，当性能不佳的时候，页缺失数可能急剧增加。这可能与内存受限和大的数据集合有关，有限且偶发的页面错误不一定表示存在问题
连接数信息：
glc-test:SECONDARY> db.runCommand({serverStatus:1}).connections
{ "current" : 10, "available" : 10230, "totalCreated" : 972, "active" : 1 }
# 当前正在活动的连接数：
glc-test:SECONDARY> db.runCommand({serverStatus:1}).connections.active
1
# 当前客户端到数据库服务器的连接数。此数值包括当前的shell会话：
glc-test:SECONDARY> db.runCommand({serverStatus:1}).connections.current
10
# 可用的未使用连接数：
glc-test:SECONDARY> db.runCommand({serverStatus:1}).connections.available
10230
# 累计已经创建过的连接数，此数字包括已关闭的连接：
glc-test:SECONDARY> db.runCommand({serverStatus:1}).connections.totalCreated
982
glc-test:SECONDARY>
全局锁信息：
glc-test:PRIMARY> db.runCommand({serverStatus:1}).globalLock
{
"totalTime" : NumberLong("6641104292000"),
"currentQueue" : {
"total" : 3,
"readers" : 3,
"writers" : 0
},
"activeClients" : {
"total" : 59,
"readers" : 0,
"writers" : 1
}
}
==================================
#globalLock.currentQueue.total: 等锁的操作的总数（即，总和globalLock.currentQueue.readers和 globalLock.currentQueue.writers）。
glc-test:PRIMARY> db.runCommand({serverStatus:1}).globalLock.currentQueue.total
3
=====================================
#globalLock.currentQueue.readers: 排队等待读锁的操作数。持续很小的读队列，尤其是较短的操作，不必关注。
glc-test:PRIMARY> db.runCommand({serverStatus:1}).globalLock.currentQueue.readers
3
====================================
#globalLock.currentQueue.writers: 排队等待写锁的操作数。持续很小写队列，特别是较短的操作，不必关注。
glc-test:PRIMARY> db.runCommand({serverStatus:1}).globalLock.currentQueue.writers
0
#######################################################################################
=================================
#globalLock.activeClients.total: 内部客户端连接db总数，包括系统线程以及读写队列。由于包括系统线程，此值将高于activeClients.readers 和activeClients.writers之和。
glc-test:PRIMARY> db.runCommand({serverStatus:1}).globalLock.activeClients.total
59
=================================
#globalLock.activeClients.readers: 执行读操作的活跃客户端连接数。
glc-test:PRIMARY> db.runCommand({serverStatus:1}).globalLock.activeClients.readers
0
==================================
#globalLock.activeClients.writers: 执行写操作的活跃客户端连接数。
glc-test:PRIMARY> db.runCommand({serverStatus:1}).globalLock.activeClients.writers
1
glc-test:PRIMARY>
锁监控信息：
glc-test:PRIMARY> db.runCommand({serverStatus:1}).locks
{
"Global" : {
"acquireCount" : {
"r" : NumberLong(268520492),
"w" : NumberLong(4012050),
"R" : NumberLong(1),
"W" : NumberLong(243637)
},
"acquireWaitCount" : {
"r" : NumberLong(140),
"w" : NumberLong(688),
"W" : NumberLong(57)
},
"timeAcquiringMicros" : {
"r" : NumberLong("60903006897"),
"w" : NumberLong("6167369228"),
"W" : NumberLong(6636)
}
},
"Database" : {
"acquireCount" : {
"r" : NumberLong(180952566),
"w" : NumberLong(3805130),
"R" : NumberLong(8),
"W" : NumberLong(216)
},
"acquireWaitCount" : {
"r" : NumberLong(17),
"w" : NumberLong(123),
"W" : NumberLong(32)
},
"timeAcquiringMicros" : {
"r" : NumberLong("11971702698"),
"w" : NumberLong("2727138813"),
"W" : NumberLong(129081)
}
},
"Collection" : {
"acquireCount" : {
"r" : NumberLong(82733356),
"w" : NumberLong(3561420),
"W" : NumberLong(7)
},
"acquireWaitCount" : {
"r" : NumberLong(16)
},
"timeAcquiringMicros" : {
"r" : NumberLong("28236381486")
}
},
"Metadata" : {
"acquireCount" : {
"W" : NumberLong(245)
},
"acquireWaitCount" : {
"W" : NumberLong(117)
},
"timeAcquiringMicros" : {
"W" : NumberLong(9585)
}
},
"Mutex" : {
"acquireCount" : {
"W" : NumberLong(2)
}
},
"oplog" : {
"acquireCount" : {
"r" : NumberLong(100101963),
"w" : NumberLong(243617),
"W" : NumberLong(1)
}
}
}
glc-test:PRIMARY>
网络流量信息：
glc-test:PRIMARY> db.runCommand({serverStatus:1}).network
{
"bytesIn" : NumberLong("151144866398"),
"bytesOut" : NumberLong("808195680961"),
"physicalBytesIn" : NumberLong("147732715815"),
"physicalBytesOut" : NumberLong("636611536772"),
"numRequests" : NumberLong(103740653),
"compression" : {
"snappy" : {
"compressor" : {
"bytesIn" : NumberLong("268216472216"),
"bytesOut" : NumberLong("95172234043")
},
"decompressor" : {
"bytesIn" : NumberLong("32244871203"),
"bytesOut" : NumberLong("38976582101")
}
}
},
"serviceExecutorTaskStats" : {
"executor" : "adaptive",
"totalQueued" : NumberLong(209366202),
"totalExecuted" : NumberLong(209366202),
"threadsInUse" : 4,
"totalTimeRunningMicros" : NumberLong("107216244178788"),
"totalTimeExecutingMicros" : NumberLong("5972553634823"),
"totalTimeQueuedMicros" : NumberLong(908878363),
"threadsRunning" : 16,
"threadsPending" : 0,
"threadCreationCauses" : {
"stuckThreadsDetected" : NumberLong("7528457633249249205"),
"starvation" : NumberLong("7802015030183150985"),
"belowReserveMinimum" : NumberLong("7303197360618091898")
},
"metricsByTask" : {
"processMessage" : {
"totalQueued" : NumberLong(103740649),
"totalExecuted" : NumberLong(103740649),
"totalTimeExecutingMicros" : NumberLong("5967280314479"),
"totalTimeQueuedMicros" : NumberLong(40439426)
},
"sourceMessage" : {
"totalQueued" : NumberLong(103740410),
"totalExecuted" : NumberLong(103740410),
"totalTimeExecutingMicros" : NumberLong(1107032830),
"totalTimeQueuedMicros" : NumberLong(845618144)
},
"exhaustMessage" : {
"totalQueued" : NumberLong(0),
"totalExecuted" : NumberLong(0),
"totalTimeExecutingMicros" : NumberLong(0),
"totalTimeQueuedMicros" : NumberLong(0)
},
"startSession" : {
"totalQueued" : NumberLong(1885143),
"totalExecuted" : NumberLong(1885143),
"totalTimeExecutingMicros" : NumberLong(253285732),
"totalTimeQueuedMicros" : NumberLong(22820792)
}
}
}
}
====================
# 数据库接受的网络传输字节数，需要计算每秒内的字节数。
glc-test:PRIMARY> db.runCommand({serverStatus:1}).network.bytesIn
NumberLong("151144873696")
=====================
# 数据库发送的网络传输字节数，需要计算每秒内的字节数。
glc-test:PRIMARY> db.runCommand({serverStatus:1}).network.bytesOut
NumberLong("808195886901")
=====================
# 数据库接收到的请求的总次数，通常需要计算每秒的次数。
glc-test:PRIMARY> db.runCommand({serverStatus:1}).network.numRequests
NumberLong(103740729)
glc-test:PRIMARY>
命令执行个数统计：
自mongod最近一次启动实例以来, 按数据库操作类型报告的文档 ，注意：opcounters操作中的数据数据受多文档影响，例如批量插入或多次更新操作，将作为单个操作处理。有关更详细的文档级操作跟踪，请参阅metrics.document 。此外，这些值反映了接收的操作，即使操作不成功也会增加。
glc-test:PRIMARY> db.runCommand({serverStatus:1}).opcounters
{
"insert" : 153434913,
"query" : 263980,
"update" : 10306,
"delete" : 224,
"getmore" : 70066965,
"command" : 33180791
}
==================
# 数据库执行的插入操作次数，需要计算每秒次数：
glc-test:PRIMARY> db.runCommand({serverStatus:1}).opcounters.insert
153434913==================
# 数据库执行的删除操作次数，需要计算每秒次数：
glc-test:PRIMARY> db.runCommand({serverStatus:1}).opcounters.delete
224==================
# 数据库执行的更新操作次数，需要计算每秒次数：
glc-test:PRIMARY> db.runCommand({serverStatus:1}).opcounters.update
10307==================
# 数据库执行的查询操作次数，需要计算每秒次数：
glc-test:PRIMARY> db.runCommand({serverStatus:1}).opcounters.query
263984==================
# 数据库执行的命令操作次数，需要计算每秒次数：
glc-test:PRIMARY> db.runCommand({serverStatus:1}).opcounters.command
33181236==================
# 数据库执行的getmore操作次数，需要计算每秒次数：
glc-test:PRIMARY> db.runCommand({serverStatus:1}).opcounters.getmore
70067033
glc-test:PRIMARY>
opcounters.insert：自上次启动mongod实例以来，收到的插入操作总数 。
opcounters.query： 自上次启动mongod实例以来，收到的查询操作总数。
opcounters.update：自上次启动mongod实例以来，收到的更新操作总数 。
opcounters.delete：自上次启动mongod实例以来，收到的删除操作总数。
opcounters.getmore：自上次启动mongod实例以来，“getmore”操作的总数。即使查询数目较低，此计数器也可能很高。作为复制进程的一部分，Secondary节点将发送getMore操作
opcounters.command：自mongod上次启动实例以来，向数据库发出的命令总数，需要排除增删改命令 。
文档增删改返回数量统计：
glc-test:PRIMARY> db.serverStatus().metrics.document
{
"deleted" : NumberLong(51),
"inserted" : NumberLong(153434902),
"returned" : NumberLong(834010010),
"updated" : NumberLong(10217)
}
=================
glc-test:PRIMARY> db.serverStatus().metrics.document.inserted
NumberLong(153434902)
=================
glc-test:PRIMARY> db.serverStatus().metrics.document.deleted
NumberLong(51)
=================
glc-test:PRIMARY> db.serverStatus().metrics.document.updated
NumberLong(10218)
=================
glc-test:PRIMARY> db.serverStatus().metrics.document.returned
NumberLong(834010038)
因复制操作的统计：
glc-test:PRIMARY> db.runCommand({serverStatus:1}).opcountersRepl
{
"insert" : 19,
"query" : 0,
"update" : 19,
"delete" : 18,
"getmore" : 0,
"command" : 1
}
=================
glc-test:PRIMARY> db.runCommand({serverStatus:1}).opcountersRepl.insert
19
==================
glc-test:PRIMARY> db.runCommand({serverStatus:1}).opcountersRepl.delete
18
==================
glc-test:PRIMARY> db.runCommand({serverStatus:1}).opcountersRepl.update
19
===================
glc-test:PRIMARY> db.runCommand({serverStatus:1}).opcountersRepl.query
0
=================
glc-test:PRIMARY> db.runCommand({serverStatus:1}).opcountersRepl.command
1
==================
glc-test:PRIMARY> db.runCommand({serverStatus:1}).opcountersRepl.getmore
0
glc-test:PRIMARY>
====================
opcountersRepl：自上次启动mongod实例以来按类型报告数据库复制操作的文档。当前主机是副本集的成员时才会显示这些值。
MongoDB在复制期间序列化操作，因此这些值将与opcounters值不同。更多信息请参阅复制。这些数字将随着时间的推移而增长，以响应数据库使用，直到下次重启。随着时间的推移分析这些值以跟踪数据库利用率。opcountersRepl.insert：自上次启动mongod实例以来复制插入操作的总数 。
opcountersRepl.query：自 上次启动mongod实例以来复制查询的总数。
opcountersRepl.update：自上次启动mongod实例以来复制更新操作总数 。
opcountersRepl.delete：自上次启动mongod实例以来复制的删除操作总数 。
opcountersRepl.getmore：自上次启动mongod实例以来“getmore”操作的总数。即使查询数目较低，此计数器也可能很高。作为复制进程的一部分，secondary节点发送getMore操作。
opcountersRepl.command：自上次启动mongod实例以来发送到数据库的复制命令总数。
####################################################################
注意！！！！：仅当当前主机是副本集的成员时，才会显示这些值。
mongodb内存使用统计：
mem.resident
mem.virtual
mongod
实例角色确认：
glc-test:PRIMARY> db.runCommand({serverStatus:1}).repl
{
"hosts" : [
"c3-dba-glc-db03.bj:28042",
"c4-mc-buffer-db41.bj:28042",
"c4-using-glc-db05.bj:28042"
],
"setName" : "glc-test",
"setVersion" : 3,
"ismaster" : true,
"secondary" : false,
"primary" : "c4-mc-buffer-db41.bj:28042",
"me" : "c4-mc-buffer-db41.bj:28042",
"electionId" : ObjectId("7fffffff0000000000000073"),
"lastWrite" : {
"opTime" : {
"ts" : Timestamp(1605252345, 1),
"t" : NumberLong(115)
},
"lastWriteDate" : ISODate("2020-11-13T07:25:45Z"),
"majorityOpTime" : {
"ts" : Timestamp(1605252345, 1),
"t" : NumberLong(115)
},
"majorityWriteDate" : ISODate("2020-11-13T07:25:45Z")
},
"rbid" : 1
}
glc-test:PRIMARY> db.runCommand({serverStatus:1}).repl.ismaster
true
glc-test:PRIMARY> db.runCommand({serverStatus:1}).repl.secondary
false
glc-test:PRIMARY> db.runCommand({serverStatus:1}).repl.setName
glc-test
########################################################################若db.runCommand({serverStatus:1}).repl.ismaster = true ，则为primary角色；若db.runCommand({serverStatus:1}).repl.secondary = true，则为secondary角色；standalone角色：
wiredTiger缓存统计信息：
glc-test:PRIMARY> db.runCommand({serverStatus:1}).wiredTiger.cache
{
"application threads page read from disk to cache count" : 48718926,
"application threads page read from disk to cache time (usecs)" : 2514482076,
"application threads page write from cache to disk count" : 1990467,
"application threads page write from cache to disk time (usecs)" : 64791253,
"bytes belonging to page images in the cache" : 2477045336,
"bytes belonging to the cache overflow table in the cache" : 182,
"bytes currently in the cache" : 3435228132, ---------------------------------->> wiredTiger cache的字节数，当前在缓存中的数据的字节大小。该值不应大于最大缓存大小。
"bytes dirty in the cache cumulative" : 312694322946,--------------------------->> wiredTiger cache中"dirty"数据的字节数，缓存中脏数据的大小（以字节为单位）。该值应小于 bytes currently in the cache。
"bytes not belonging to page images in the cache" : 958182795,
"bytes read into cache" : NumberLong("7731788908256348"),----------------------->> 数据库写入wiredTiger cache的字节数,需要计算每秒字节数。
"bytes written from cache" : 277403867305,-------------------------------------->> 数据库从wiredTiger cache写入到磁盘的字节数,需要计算每秒字节数。
"cache overflow cursor application thread wait time (usecs)" : 0,
"cache overflow cursor internal thread wait time (usecs)" : 0,
"cache overflow score" : 0,
"cache overflow table entries" : 0,
"cache overflow table insert calls" : 0,
"cache overflow table max on-disk size" : 0,
"cache overflow table on-disk size" : 0,
"cache overflow table remove calls" : 0,
"checkpoint blocked page eviction" : 54,
"eviction calls to get a page" : 55036280,
"eviction calls to get a page found queue empty" : 484223,
"eviction calls to get a page found queue empty after locking" : 543347,
"eviction currently operating in aggressive mode" : 0,
"eviction empty score" : 0,
"eviction passes of a file" : 2799546,
"eviction server candidate queue empty when topping up" : 320638,
"eviction server candidate queue not empty when topping up" : 291565,
"eviction server evicting pages" : 0,
"eviction server slept, because we did not make progress with eviction" : 2961658,
"eviction server unable to reach eviction goal" : 0,
"eviction server waiting for a leaf page" : 1507000170,
"eviction server waiting for an internal page sleep (usec)" : 0,
"eviction server waiting for an internal page yields" : 100,
"eviction state" : 128,
"eviction walk target pages histogram - 0-9" : 1848324,
"eviction walk target pages histogram - 10-31" : 266882,
"eviction walk target pages histogram - 128 and higher" : 0,
"eviction walk target pages histogram - 32-63" : 185330,
"eviction walk target pages histogram - 64-128" : 499010,
"eviction walk target strategy both clean and dirty pages" : 196870,
"eviction walk target strategy only clean pages" : 2580530,
"eviction walk target strategy only dirty pages" : 22146,
"eviction walks abandoned" : 199618,
"eviction walks gave up because they restarted their walk twice" : 1161121,
"eviction walks gave up because they saw too many pages and found no candidates" : 634488,
"eviction walks gave up because they saw too many pages and found too few candidates" : 5235,
"eviction walks reached end of tree" : 2947891,
"eviction walks started from root of tree" : 1896637,
"eviction walks started from saved location in tree" : 902909,
"eviction worker thread active" : 4,
"eviction worker thread created" : 0,
"eviction worker thread evicting pages" : 54001065,
"eviction worker thread removed" : 0,
"eviction worker thread stable number" : 0,
"files with active eviction walks" : 0,
"files with new eviction walks started" : 1786770,
"force re-tuning of eviction workers once in a while" : 0,
"forced eviction - pages evicted that were clean count" : 2645046,
"forced eviction - pages evicted that were clean time (usecs)" : 2748172,
"forced eviction - pages evicted that were dirty count" : 1,
"forced eviction - pages evicted that were dirty time (usecs)" : 40,
"forced eviction - pages selected because of too many deleted items count" : 2809,
"forced eviction - pages selected count" : 2702464,
"forced eviction - pages selected unable to be evicted count" : 22321,
"forced eviction - pages selected unable to be evicted time" : 36567,
"hazard pointer blocked page eviction" : 5815,
"hazard pointer check calls" : 56708452,
"hazard pointer check entries walked" : 344900361,
"hazard pointer maximum array length" : 2,
"in-memory page passed criteria to be split" : 113326,
"in-memory page splits" : 35100,
"internal pages evicted" : 478489,
"internal pages queued for eviction" : 466169,
"internal pages seen by eviction walk" : 22350674,
"internal pages seen by eviction walk that are already queued" : 137555,
"internal pages split during eviction" : 849,
"leaf pages split during eviction" : 39843,
"maximum bytes configured" : 4294967296,---------------------------------------->> 这个是mongodb数据库的mongodb.conf配置文件中配置的cacheSizeGB大小，最大缓存大小，相当于mysql的缓冲池大小。
"maximum page size at eviction" : 0,
"modified pages evicted" : 215182,
"modified pages evicted by application threads" : 0,
"operations timed out waiting for space in cache" : 0,
"overflow pages read into cache" : 0,
"page split during eviction deepened the tree" : 20,
"page written requiring cache overflow records" : 0,
"pages currently held in the cache" : 138974,
"pages evicted by application threads" : 0,
"pages queued for eviction" : 59889728,
"pages queued for eviction post lru sorting" : 60355154,
"pages queued for urgent eviction" : 56076,
"pages queued for urgent eviction during walk" : 8035,
"pages read into cache" : 48719134,
"pages read into cache after truncate" : 442,
"pages read into cache after truncate in prepare state" : 0,
"pages read into cache requiring cache overflow entries" : 0,
"pages read into cache requiring cache overflow for checkpoint" : 0,
"pages read into cache skipping older cache overflow entries" : 0,
"pages read into cache with skipped cache overflow entries needed later" : 0,
"pages read into cache with skipped cache overflow entries needed later by checkpoint" : 0,
"pages requested from the cache" : 1154239659,
"pages seen by eviction walk" : 90248892,
"pages seen by eviction walk that are already queued" : 4615085,
"pages selected for eviction unable to be evicted" : 29178,
"pages selected for eviction unable to be evicted as the parent page has overflow items" : 0,
"pages selected for eviction unable to be evicted because of active children on an internal page" : 4274,
"pages selected for eviction unable to be evicted because of failure in reconciliation" : 0,
"pages selected for eviction unable to be evicted due to newer modifications on a clean page" : 0,
"pages walked for eviction" : 3450449135,
"pages written from cache" : 11082806,
"pages written requiring in-memory restoration" : 5736,
"percentage overhead" : 8,
"tracked bytes belonging to internal pages in the cache" : 107003774,
"tracked bytes belonging to leaf pages in the cache" : 3328224358,
"tracked dirty bytes in the cache" : 2324125,
"tracked dirty pages in the cache" : 4,
"unmodified pages evicted" : 56381596
}
wiredTiger事务统计信息：
glc-test:PRIMARY> db.runCommand({serverStatus:1}).wiredTiger.concurrentTransactions
{
"write" : {
"out" : 0,
"available" : 128,
"totalTickets" : 128
},
"read" : {
"out" : 1,
"available" : 127,
"totalTickets" : 128
}
}
glc-test:PRIMARY> db.runCommand({serverStatus:1}).wiredTiger.concurrentTransactions.write.available
128
glc-test:PRIMARY> db.runCommand({serverStatus:1}).wiredTiger.concurrentTransactions.read.available
127
wiredTiger的block-manager统计信息：
"block-manager" : {
"blocks pre-loaded" : 3236,
"blocks read" : 49028852,
"blocks written" : 11704040,
"bytes read" : 530830061568,
"bytes written" : 119824228352,
"bytes written for checkpoint" : 12477071360,
"mapped blocks read" : 0,
"mapped bytes read" : 0
oplog统计信息：
glc-test:PRIMARY> db.runCommand({serverStatus:1}).metrics.repl
{
"executor" : {
"pool" : {
"inProgressCount" : 0
},
"queues" : {
"networkInProgress" : 0,
"sleepers" : 3
},
"unsignaledEvents" : 0,
"shuttingDown" : false,
"networkInterface" : "DEPRECATED: getDiagnosticString is deprecated in NetworkInterfaceTL"
},
"apply" : {
"attemptsToBecomeSecondary" : NumberLong(1),
"batchSize" : NumberLong(243804),
"batches" : {
"num" : 243613,
"totalMillis" : 411
},
"ops" : NumberLong(243804)
},
"buffer" : {
"count" : NumberLong(0),
"maxSizeBytes" : NumberLong(268435456),
"sizeBytes" : NumberLong(0)
},
"initialSync" : {
"completed" : NumberLong(1),
"failedAttempts" : NumberLong(0),
"failures" : NumberLong(0)
},
"network" : {
"bytes" : NumberLong(26827062),
"getmores" : {
"num" : 731518,
"totalMillis" : 2437415427
},
"ops" : NumberLong(243814),
"readersCreated" : NumberLong(12)
},
"preload" : {
"docs" : {
"num" : 0,
"totalMillis" : 0
},
"indexes" : {
"num" : 0,
"totalMillis" : 0
}
}
}
=================
glc-test:PRIMARY> db.runCommand({serverStatus:1}).metrics.repl.apply.batches.num
243613
=================
glc-test:PRIMARY> db.runCommand({serverStatus:1}).metrics.repl.apply.batches.totalMillis
411
==================
glc-test:PRIMARY> db.runCommand({serverStatus:1}).metrics.repl.apply.ops
NumberLong(243804)
==================
glc-test:PRIMARY> db.runCommand({serverStatus:1}).metrics.repl.buffer.count
NumberLong(0)
==================
glc-test:PRIMARY> db.runCommand({serverStatus:1}).metrics.repl.buffer.sizeBytes
NumberLong(0)
游标统计信息：
glc-test:PRIMARY> db.runCommand({serverStatus:1}).metrics.cursor
{
"timedOut" : NumberLong(22),
"open" : {
"noTimeout" : NumberLong(0),
"pinned" : NumberLong(1),
"total" : NumberLong(1)
}
}
===================
glc-test:PRIMARY> db.runCommand({serverStatus:1}).metrics.cursor.timedOut
NumberLong(22)
=================
glc-test:PRIMARY> db.runCommand({serverStatus:1}).metrics.cursor.open.noTimeout
NumberLong(0)
=================
glc-test:PRIMARY> db.runCommand({serverStatus:1}).metrics.cursor.open.pinned
NumberLong(1)
=================
glc-test:PRIMARY> db.runCommand({serverStatus:1}).metrics.cursor.open.total
NumberLong(1)
