Get Measurements for a MongoDB Process¶

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Resource
Response Elements
- Measurement Values
Example Request
Example Response

Note

Groups and projects are synonymous terms. Your {GROUP-ID} is the same as your project ID. For existing groups, your group/project ID remains the same. The resource and corresponding endpoints use the term groups.

Get measurements for a specific Atlas MongoDB process. A Atlas MongoDB process can be either a mongod or mongos.

The Atlas API uses HTTP Digest Authentication. Provide your Atlas username and API key as the username and password when constructing the HTTP request.

For complete documentation on configuring API access for an Atlas project, see Configure Atlas API Access.

Base URL: https://cloud.mongodb.com/api/atlas/v1.0

Resource¶

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GET api/atlas/v1.0/groups/{GROUP-ID}/processes/{HOST}:{PORT}/measurements

Request Path Parameters¶

Parameter	Required/Optional	Description
`GROUP-ID`	Required	ID of the project that owns this Atlas MongoDB process.
`HOST`	Required	The hostname of the machine running the Atlas MongoDB process.
`PORT`	Required	The port to which the Atlas MongoDB process listens.

Request Query Parameters¶

Field	Required/Optional	Description
`granularity`	Required	An ISO-8601-formatted time period that specifies the interval between measurement data points. For example, `PT1M` specifies 1-minute granularity. The supported values for this parameter are: `PT1M` `PT5M` `PT1H` `P1D` When you specify `granularity`, you must specify either `period` or `start` and `end`.
`period`	Required	An ISO-8601-formatted time period that specifies the length of time in the past to query. For example, to request the last 36 hours, specify: `period=P1DT12H`. Mutually exclusive with `start` and `end`.
`start`	Required	The time at which to start retrieving measurements, as specified by an ISO-8601 timestamp string. If you specify `start` you must also specify `end`. Mutually exclusive with `period`.
`end`	Required	The time at which to stop retrieving measurements, as specified by an ISO-8601 timestamp string. If you specify `end` you must also specify `start`. Mutually exclusive with `period`.
`m`	Optional	Specifies which measurements to return. If `m` is not specified, all measurements are returned. To specify multiple values for `m`, you must repeat the `m` parameter. For example: copy ../measurements?m=<measurement>&m=<measurement>&m=... You must specify measurements that are valid for the host. Atlas returns an error if any specified measurements are invalid For available measurements, see Measurement Values.
`pageNum`	Optional.	The page to return. Defaults to `1`.
`itemsPerPage`	Optional.	Number of items to return per page, up to a maximum of 500. Defaults to `100`.
`envelope`	Optional.	A boolean that specifies whether or not to wrap the response in an envelope. Defaults to `false`.
`pretty`	Optional	A boolean that specifies whether or not to return a “pretty-printed” JSON document. Defaults to `false`.

Request Body Parameters¶

This endpoint does not use HTTP request body parameters.

Response Elements¶

Free Tier

M0 Free Tier clusters return a subset of the metrics documented here.

If you set the query element envelope to true, the response is wrapped by the content object.

The HTTP response returns a JSON document that includes the following objects:

Name	Type	Description
`end`	string	The end of the period for which to retrieve measurements, specified as an ISO-8601 timestamp.
`granularity`	string	An ISO-8601-formatted time period that specifies the size of the interval covered by each data point. For example, `PT5M` specifies a 5-minute granularity.
`groupId`	string	ID of the project that owns the Atlas MongoDB process.
`hostId`	string	The hostname of the machine running the Atlas MongoDB process.
`links`	array	An array of documents, representing a link to one or more sub-resources and/or related resources such as list pagination. See Linking for more information.
`measurements`	object array	An array of measurements and their data points.
`measurements.dataPoints`	object array	An array of objects, where each object represents a single data point. If there is no data point available for a particular moment in time (i.e., a timestamp), the `value` field is set to `null`.
`measurements.dataPoints.timestamp`	string	The timestamp of the beginning of the time interval represented by this data point.
`measurements.dataPoints.value`	float	The value of the data point.
`measurements.name`	string	The name of the measurement. For possible values, see Measurement Values below on this page.
`measurements.units`	string	How the measurement is quantified. Possible units are: `PERCENT` `MILLISECONDS` `BYTES` `GIGABYTES` `BYTES_PER_SECOND` `MEGABYTES_PER_SECOND` `GIGABYTES_PER_HOUR` `SCALAR_PER_SECOND` `SCALAR`
`processId`	string	The hostname and port of the machine running the Atlas MongoDB process.
`start`	string	The start of the period for which to retrieve measurements, specified as an ISO-8601 timestamp.

Measurement Values¶

`ASSERT_REGULAR` `ASSERT_WARNING` `ASSERT_MSG` `ASSERT_USER`	Measures the rate of asserts for a MongoDB process, as collected from the MongoDB serverStatus command’s `asserts` document.
`CACHE_BYTES_READ_INTO` `CACHE_BYTES_WRITTEN_FROM` `CACHE_DIRTY_BYTES` `CACHE_USED_BYTES`	Applies to a MongoDB process’s WiredTiger storage engine, as collected from the MongoDB serverStatus command’s `wiredTiger.cache` and `wiredTiger.concurrentTransactions` documents.
`CONNECTIONS`	Measures connections to a MongoDB process, as collected from the MongoDB serverStatus command’s `connections` document.
`CURSORS_TOTAL_OPEN` `CURSORS_TOTAL_TIMED_OUT`	Measures the number of cursors for a MongoDB process, as collected from the MongoDB serverStatus command’s `metrics.cursor` document.
`DB_STORAGE_TOTAL` `DB_DATA_SIZE_TOTAL`	Measures the database’s on-disk storage space, as collected from the MongoDB dbStats command.
`DOCUMENT_METRICS_RETURNED` `DOCUMENT_METRICS_INSERTED` `DOCUMENT_METRICS_UPDATED` `DOCUMENT_METRICS_DELETED`	The average rate per second of documents returned, inserted, updated, or deleted for a selected time period.
`EXTRA_INFO_PAGE_FAULTS`	Measurements on page faults related to the host.
`FTS_PROCESS_RESIDENT_MEMORY` `FTS_PROCESS_VIRTUAL_MEMORY` `FTS_PROCESS_SHARED_MEMORY`	Memory usage for Full Text Search processes, in bytes.
`FTS_DISK_USAGE`	Disk space in use by Full Text Search indexes, in bytes.
`FTS_PROCESS_CPU_USER` `FTS_PROCESS_CPU_KERNEL` `FTS_PROCESS_NORMALIZED_CPU_USER` `FTS_PROCESS_NORMALIZED_CPU_KERNEL`	Percentage of CPU in use by Full Text Search processes.
`GLOBAL_LOCK_CURRENT_QUEUE_TOTAL` `GLOBAL_LOCK_CURRENT_QUEUE_READERS` `GLOBAL_LOCK_CURRENT_QUEUE_WRITERS`	Measures operations waiting on locks, as collected from the MongoDB serverStatus command.
`MEMORY_RESIDENT` `MEMORY_VIRTUAL` `MEMORY_MAPPED`	Measures memory for a MongoDB process, as collected from the MongoDB serverStatus command’s `mem` document.
`NETWORK_BYTES_IN` `NETWORK_BYTES_OUT` `NETWORK_NUM_REQUESTS`	Measures throughput for MongoDB process, as collected from the MongoDB serverStatus command’s `network` document.
`OPCOUNTER_CMD` `OPCOUNTER_QUERY` `OPCOUNTER_UPDATE` `OPCOUNTER_DELETE` `OPCOUNTER_GETMORE` `OPCOUNTER_INSERT`	Measures the rate of database operations on a MongoDB process since the process last started, as collected from the MongoDB serverStatus command’s `opcounters` document.
`OPCOUNTER_REPL_CMD` `OPCOUNTER_REPL_UPDATE` `OPCOUNTER_REPL_DELETE` `OPCOUNTER_REPL_INSERT`	Measures the rate of database operations on MongoDB secondaries, as collected from the MongoDB serverStatus command’s `opcountersRepl` document.
`OPERATIONS_SCAN_AND_ORDER`	For a selected time period, the average rate per second for operations that perform a sort but cannot perform the sort using an index.
`OP_EXECUTION_TIME_READS` `OP_EXECUTION_TIME_WRITES` `OP_EXECUTION_TIME_COMMANDS`	Available to hosts running MongoDB v3.4+. The execution time in milliseconds per read, write, or command operation over the selected time period.
`OPLOG_MASTER_TIME` `OPLOG_RATE_GB_PER_HOUR`	Measurements that apply to the MongoDB process’s oplog.
`QUERY_EXECUTOR_SCANNED`	The average rate per second to scan index items during queries and query-plan evaluations. This rate is driven by the same value as `totalKeysExamined` in the output of explain. This measurement is found on the host’s `Query Executor` chart, accessed when viewing metrics.
`QUERY_EXECUTOR_SCANNED_OBJECTS`	The average rate per second to scan documents during queries and query-plan evaluations. Cloud Manager derives the rate using the explain output’s `totalDocsExamined` value. This measurement is found on the host’s `Query Executor` chart, accessed when viewing metrics.
`QUERY_TARGETING_SCANNED_PER_RETURNED`	The ratio of the number of index items scanned to the number of documents returned. This measurement is found on the host’s `Query Targeting` chart, accessed when viewing metrics.
`QUERY_TARGETING_SCANNED_OBJECTS_PER_RETURNED`	The ratio of the number of documents scanned to the number of documents returned. This measurement is found on the host’s `Query Targeting` chart, accessed when viewing metrics.
`TICKETS_AVAILABLE_READS` `TICKETS_AVAILABLE_WRITES`	Measurement of the WiredTiger storage engine `wiredTiger.cache` and `wiredTiger.concurrentTransactions` documents as collected from the MongoDB serverStatus command.
`PROCESS_CPU_USER` `PROCESS_CPU_KERNEL` `PROCESS_CPU_CHILDREN_USER` `PROCESS_CPU_CHILDREN_KERNEL`	The CPU usage of MongoDB. For servers with more than 1 CPU core, these values can exceed 100%.
`PROCESS_NORMALIZED_CPU_USER` `PROCESS_NORMALIZED_CPU_KERNEL` `PROCESS_NORMALIZED_CPU_CHILDREN_USER` `PROCESS_NORMALIZED_CPU_CHILDREN_KERNEL`	The CPU usage of MongoDB, scaled to a range of 0-100% by dividing by the number of CPU cores.
`SYSTEM_CPU_USER` `SYSTEM_CPU_KERNEL` `SYSTEM_CPU_NICE` `SYSTEM_CPU_IOWAIT` `SYSTEM_CPU_IRQ` `SYSTEM_CPU_SOFTIRQ` `SYSTEM_CPU_GUEST` `SYSTEM_CPU_STEAL`	CPU usage of processes on the host server. For servers with more than 1 CPU core, this value can exceed 100%.
`SYSTEM_NORMALIZED_CPU_USER` `SYSTEM_NORMALIZED_CPU_KERNEL` `SYSTEM_NORMALIZED_CPU_NICE` `SYSTEM_NORMALIZED_CPU_IOWAIT` `SYSTEM_NORMALIZED_CPU_IRQ` `SYSTEM_NORMALIZED_CPU_SOFTIRQ` `SYSTEM_NORMALIZED_CPU_GUEST` `SYSTEM_NORMALIZED_CPU_STEAL`	CPU usage of processes on the host server, scaled to a range of 0-100% by dividing by the number of CPU cores.

Example Request¶

The following example request sets a granularity and period of one minute. Replace the information in brackets {} with your own Atlas information to execute this example request:

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curl -u "<ATLAS-USERNAME>:<API-KEY>" --digest -i "https://cloud.mongodb.com/api/atlas/v1.0/groups/{GROUP-ID}/processes/{HOST}:{PORT}}/measurements?granularity=PT1M&period=PT1M&pretty=true"

Example Response¶

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HTTP/1.1 200 OK
Vary: Accept-Encoding
Cache-Control: no-cache, no-transform, must-revalidate, proxy-revalidate, max-age=0
Content-Type: application/json
Strict-Transport-Security: max-age=300
Date: Tue, 22 Aug 2017 20:31:22 GMT
Connection: keep-alive
Content-Length: 16848

{
  "end" : "2017-08-22T20:31:14Z",
  "granularity" : "PT1M",
  "groupId" : "12345678",
  "hostId" : "shard-00-00.mongodb.net:27017",
  "links" : [ {
    "href" : "https://cloud.mongodb.com/api/atlas/v1.0/groups/12345678/processes/shard-00-00.mongodb.net:27017/measurements?granularity=PT1M&period=PT1M&pretty=true",
    "rel" : "self"
  }, {
    "href" : "https://cloud.mongodb.com/api/atlas/v1.0/groups/12345678/processes/shard-00-00.mongodb.net:27017",
    "rel" : "http://mms.mongodb.com/host"
  } ],
  "measurements" : [ {
    "dataPoints" : [ {
      "timestamp" : "2017-08-22T20:31:12Z",
      "value" : null
    }, {
      "timestamp" : "2017-08-22T20:31:14Z",
      "value" : null
    } ],
    "name" : "ASSERT_REGULAR",
    "units" : "SCALAR_PER_SECOND"
  }, {
    ...
  }],
  "processId" : "shard-00-00.mongodb.net:27017",
  "start" : "2017-08-22T20:30:45Z"
}

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