已测试版本: 支持MongoDB版本2.4,2.6 3.0,3.2, 以及Percona MongoDB3.0
支持存储引擎：MMAPv1, wiredTiger, RocksDB, PerconaFT 存储引擎(部分存储引擎的指标未采集完,可直接代码中添加)
支持结构: standlone, 副本集,分片集群
支持节点：mongod数据节点，配置节点，Primary/Secondary, mongos; 不支持Arbiter节点
1 存活监控: 包括auth
2 serverStatus
3 replSetGetStatus
4 oplog.rs
5 mongos
通过cron每分钟采集上报,采集对MongoDB理论无性能影响
操作系统: Linux
Python 2.6
PyYAML > 3.10
python-requests > 0.11
1 目录解压到/path/to/mongomon
2 配置当前服务器的MongoDB多实例(mongod,配置节点,mongos)信息,/path/to/mongomon/conf/mongomon.conf 每行记录一个实例: 端口，用户名，密码
- {port: 27017, user: "",password: ""}
3 配置crontab, 修改mongomon/conf/mongomon_cron文件中mongomon安装path; cp mongomon_cron /etc/cron.d/
4 几分钟后，可从open-falcon的dashboard中查看MongoDB metric
5 endpoint默认是hostname
| Counters | Type | Notes |
|---|---|---|
| mongo_local_alive | GAUGE | mongodb存活本地监控，如果开启Auth，要求连接认证成功 |
| asserts_msg | COUNTER | 消息断言数/秒 |
| asserts_regular | COUNTER | 常规断言数/秒 |
| asserts_rollovers | COUNTER | 计数器roll over的次数/秒,计数器每2^30个断言就会清零 |
| asserts_user | COUNTER | 用户断言数/秒 |
| asserts_warning | COUNTER | 警告断言数/秒 |
| page_faults | COUNTER | 页缺失次数/秒 |
| connections_available | GAUGE | 未使用的可用连接数 |
| connections_current | GAUGE | 当前所有客户端的已连接的连接数 |
| connections_used_percent | GAUGE | 已使用连接数百分比 |
| connections_totalCreated | COUNTER | 创建的新连接数/秒 |
| globalLock_currentQueue_total | GAUGE | 当前队列中等待锁的操作数 |
| globalLock_currentQueue_readers | GAUGE | 当前队列中等待读锁的操作数 |
| globalLock_currentQueue_writers | GAUGE | 当前队列中等待写锁的操作数 |
| locks_Global_acquireCount_ISlock | COUNTER | 实例级意向共享锁获取次数 |
| locks_Global_acquireCount_IXlock | COUNTER | 实例级意向排他锁获取次数 |
| locks_Global_acquireCount_Slock | COUNTER | 实例级共享锁获取次数 |
| locks_Global_acquireCount_Xlock | COUNTER | 实例级排他锁获取次数 |
| locks_Global_acquireWaitCount_ISlock | COUNTER | 实例级意向共享锁等待次数 |
| locks_Global_acquireWaitCount_IXlock | COUNTER | 实例级意向排他锁等待次数 |
| locks_Global_timeAcquiringMicros_ISlock | COUNTER | 实例级共享锁获取耗时 单位:微秒 |
| locks_Global_timeAcquiringMicros_IXlock | COUNTER | 实例级共排他获取耗时 单位:微秒 |
| locks_Database_acquireCount_ISlock | COUNTER | 数据库级意向共享锁获取次数 |
| locks_Database_acquireCount_IXlock | COUNTER | 数据库级意向排他锁获取次数 |
| locks_Database_acquireCount_Slock | COUNTER | 数据库级共享锁获取次数 |
| locks_Database_acquireCount_Xlock | COUNTER | 数据库级排他锁获取次数 |
| locks_Collection_acquireCount_ISlock | COUNTER | 集合级意向共享锁获取次数 |
| locks_Collection_acquireCount_IXlock | COUNTER | 集合级意向排他锁获取次数 |
| locks_Collection_acquireCount_Xlock | COUNTER | 集合级排他锁获取次数 |
| opcounters_command | COUNTER | 数据库执行的所有命令/秒 |
| opcounters_insert | COUNTER | 数据库执行的插入操作次数/秒 |
| opcounters_delete | COUNTER | 数据库执行的删除操作次数/秒 |
| opcounters_update | COUNTER | 数据库执行的更新操作次数/秒 |
| opcounters_query | COUNTER | 数据库执行的查询操作次数/秒 |
| opcounters_getmore | COUNTER | 数据库执行的getmore操作次数/秒 |
| opcountersRepl_command | COUNTER | 数据库复制执行的所有命令次数/秒 |
| opcountersRepl_insert | COUNTER | 数据库复制执行的插入命令次数/秒 |
| opcountersRepl_delete | COUNTER | 数据库复制执行的删除命令次数/秒 |
| opcountersRepl_update | COUNTER | 数据库复制执行的更新命令次数/秒 |
| opcountersRepl_query | COUNTER | 数据库复制执行的查询命令次数/秒 |
| opcountersRepl_getmore | COUNTER | 数据库复制执行的gtemore命令次数/秒 |
| network_bytesIn | COUNTER | 数据库接受的网络传输字节数/秒 |
| network_bytesOut | COUNTER | 数据库发送的网络传输字节数/秒 |
| network_numRequests | COUNTER | 数据库接收到的请求的总次数/秒 |
| mem_virtual | GAUGE | 数据库进程使用的虚拟内存 |
| mem_resident | GAUGE | 数据库进程使用的物理内存 |
| mem_mapped | GAUGE | mapped的内存,只用于MMAPv1 存储引擎 |
| mem_bits | GAUGE | 64 or 32bit |
| mem_mappedWithJournal | GAUGE | journal日志消耗的映射内存，只用于MMAPv1 存储引擎 |
| backgroundFlushing_flushes | COUNTER | 数据库刷新写操作到磁盘的次数/秒 |
| backgroundFlushing_average_ms | GAUGE | 数据库刷新写操作到磁盘的平均耗时，单位ms |
| backgroundFlushing_last_ms | COUNTER | 当前最近一次数据库刷新写操作到磁盘的耗时，单位ms |
| backgroundFlushing_total_ms | GAUGE | 数据库刷新写操作到磁盘的总耗时/秒，单位ms |
| cursor_open_total | GAUGE | 当前数据库为客户端维护的游标总数 |
| cursor_timedOut | COUNTER | 数据库timout的游标个数/秒 |
| cursor_open_noTimeout | GAUGE | 设置DBQuery.Option.noTimeout的游标数 |
| cursor_open_pinned | GAUGE | 打开的pinned的游标数 |
| repl_health | GAUGE | 复制的健康状态 |
| repl_myState | GAUGE | 当前节点的副本集状态 |
| repl_oplog_window | GAUGE | oplog的窗口大小 |
| repl_optime | GAUGE | 上次执行的时间戳 |
| replication_lag_percent | GAUGE | 延时占比(lag/oplog_window) |
| repl_lag | GAUGE | Secondary复制延时，单位秒 |
| shards_size | GAUGE | 数据库集群的分片个数; config.shards.count |
| shards_mongosSize | GAUGE | 数据库集群中mongos节点个数；config.mongos.count |
| shards_chunkSize | GAUGE | 数据库集群的chunksize大小设置，以config.settings集合中获取 |
| shards_activeWindow | GAUGE | 数据库集群的数据均衡器是否设置了时间窗口，1/0 |
| shards_activeWindow_start | GAUGE | 数据库集群的数据均衡器时间窗口开始时间，格式23.30表示 23：30分 |
| shards_activeWindow_stop | GAUGE | 数据库集群的数据均衡器时间窗口结束时间，格式23.30表示 23：30分 |
| shards_BalancerState | GAUGE | 数据库集群的数据均衡器的状态，是否为打开 |
| shards_isBalancerRunning | GAUGE | 数据库集群的数据均衡器是否正在运行块迁移 |
| wt_cache_used_total_bytes | GAUGE | wiredTiger cache的字节数 |
| wt_cache_dirty_bytes | GAUGE | wiredTiger cache中"dirty"数据的字节数 |
| wt_cache_readinto_bytes | COUNTER | 数据库写入wiredTiger cache的字节数/秒 |
| wt_cache_writtenfrom_bytes | COUNTER | 数据库从wiredTiger cache写入到磁盘的字节数/秒 |
| wt_concurrentTransactions_write | GAUGE | write tickets available to the WiredTiger storage engine |
| wt_concurrentTransactions_read | GAUGE | read tickets available to the WiredTiger storage engine |
| wt_bm_bytes_read | COUNTER | block-manager read字节数/秒 |
| wt_bm_bytes_written | COUNTER | block-manager write字节数/秒 |
| wt_bm_blocks_read | COUNTER | block-manager read块数/秒 |
| wt_bm_blocks_written | COUNTER | block-manager write块数/秒 |
| rocksdb_num_immutable_mem_table | ||
| rocksdb_mem_table_flush_pending | ||
| rocksdb_compaction_pending | ||
| rocksdb_background_errors | ||
| rocksdb_num_entries_active_mem_table | ||
| rocksdb_num_entries_imm_mem_tables | ||
| rocksdb_num_snapshots | ||
| rocksdb_oldest_snapshot_time | ||
| rocksdb_num_live_versions | ||
| rocksdb_total_live_recovery_units | ||
| PerconaFT_cachetable_size_current | ||
| PerconaFT_cachetable_size_limit | ||
| PerconaFT_cachetable_size_writing | ||
| PerconaFT_checkpoint_count | ||
| PerconaFT_checkpoint_time | ||
| PerconaFT_checkpoint_write_leaf_bytes_compressed | ||
| PerconaFT_checkpoint_write_leaf_bytes_uncompressed | ||
| PerconaFT_checkpoint_write_leaf_count | ||
| PerconaFT_checkpoint_write_leaf_time | ||
| PerconaFT_checkpoint_write_nonleaf_bytes_compressed | ||
| PerconaFT_checkpoint_write_nonleaf_bytes_uncompressed | ||
| PerconaFT_checkpoint_write_nonleaf_count | ||
| PerconaFT_checkpoint_write_nonleaf_time | ||
| PerconaFT_compressionRatio_leaf | ||
| PerconaFT_compressionRatio_nonleaf | ||
| PerconaFT_compressionRatio_overall | ||
| PerconaFT_fsync_count | ||
| PerconaFT_fsync_time | ||
| PerconaFT_log_bytes | ||
| PerconaFT_log_count | ||
| PerconaFT_log_time | ||
| PerconaFT_serializeTime_leaf_compress | ||
| PerconaFT_serializeTime_leaf_decompress | ||
| PerconaFT_serializeTime_leaf_deserialize | ||
| PerconaFT_serializeTime_leaf_serialize | ||
| PerconaFT_serializeTime_nonleaf_compress | ||
| PerconaFT_serializeTime_nonleaf_decompress | ||
| PerconaFT_serializeTime_nonleaf_deserialize | ||
| PerconaFT_serializeTime_nonleaf_serialize |
| 告警项 |
|---|
| load.1min>10 |
| cpu.idle<10 |
| df.bytes.free.percent<30 |
| df.bytes.free.percent<10 |
| mem.memfree.percent<20 |
| mem.memfree.percent<10 |
| mem.memfree.percent<5 |
| mem.swapfree.percent<50 |
| mem.memused.percent>=50 |
| mem.memused.percent>=10 |
| net.if.out.bytes>94371840 |
| net.if.in.bytes>94371840 |
| disk.io.util>90 |
| mongo_local_alive=0 |
| page_faults>100 |
| connections_current>5000 |
| connections_used_percent>60 |
| connections_used_percent>80 |
| connections_totalCreated>1000 |
| globalLock_currentQueue_total>10 |
| globalLock_currentQueue_readers>10 |
| globalLock_currentQueue_writers>10 |
| opcounters_command |
| opcounters_insert |
| opcounters_delete |
| opcounters_update |
| opcounters_query |
| opcounters_getmore |
| opcountersRepl_command |
| opcountersRepl_insert |
| opcountersRepl_delete |
| opcountersRepl_update |
| opcountersRepl_query |
| opcountersRepl_getmore |
| network_bytesIn |
| network_bytesOut |
| network_numRequests |
| repl_health=0 |
| repl_myState not 1/2/7 |
| repl_oplog_window<168 |
| repl_oplog_window<48 |
| replication_lag_percent>50 |
| repl_lag>60 |
| repl_lag>300 |
| shards_mongosSize |
- 卓汝林: mail:[email protected]; weibo: http://weibo.com/u/2540962412