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

glc-test:SECONDARY> db.runCommand({serverStatus:1}).extra_info.page_faults
7
glc-test:SECONDARY>

 

 

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：

glc-test:PRIMARY> db.runCommand({serverStatus:1}).mem
{
        "bits" : 64,
        "resident" : 4310,
        "virtual" : 6269,
        "supported" : true,
        "mapped" : 0,
        "mappedWithJournal" : 0
}

==================
glc-test:PRIMARY> db.runCommand({serverStatus:1}).mem.resident
4304

==================
glc-test:PRIMARY> db.runCommand({serverStatus:1}).mem.virtual
6269


mem.resident 大致等于mongod进程当前使用的RAM量（以兆字节（MiB）为单位）。在正常使用期间，该值趋于增加。在专用数据库服务器中，此数字趋向于接近系统内存总量。
mem.virtual 显示mongod进程使用的虚拟内存量（以兆字节（MiB）为单位）。
 

 

 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***r>
若db.runCommand({serverStatus:1}).repl.secondary = true，则为secondary角***r>
若db.runCommand({serverStatus:1}).repl.secondary = false，且 db.runCommand({serverStatus:1}).repl.ismaster = false ，且db.runCommand({serverStatus:1}).repl.setName 不为false，则为secondary角***r>
否则为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)

 

 

 

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