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Get Suggested Indexes

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Retrieves suggested indexes as determined by the Performance Advisor.

Base URL: https://{OPSMANAGER-HOST}:{PORT}/api/public/v1.0

Resource

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GET /groups/{PROJECT-ID}/hosts/{HOST-ID}/performanceAdvisor/suggestedIndexes

Request Path Parameters

Parameter Type Description
PROJECT-ID string (Required.) Unique identifier of the project that owns this MongoDB process.
HOST-ID string (Required.) Unique identifier of the host for the MongoDB process.

Request Query Parameters

All parameters are optional.

pretty boolean Indicates whether the response body should be in a prettyprint format. false
envelope boolean Indicates whether or not to wrap the response in an envelope. false
since long Point in time from which to retrieve suggested indexes, stated in milliseconds since epoch. previous 24 hours
duration long Length of time in milliseconds during which to find suggested indexes among the managed namespaces in the cluster. up to the present time
namespaces string

Namespaces from which to retrieve suggested indexes. A namespace consists of the database and collection resource separated by a ., such as <database>.<collection>.

To specify multiple namespaces, pass the parameter multiple times using an ampersand (&) as a delimiter, once for each namespace.

Example

?namespaces=data.stocks&namespaces=data.zips&pretty=true

 all
nIndexes long Maximum number of indexes to suggest. unlimited
nExamples long Maximum number of examples queries to provide that will be improved by a suggested index. 5

Request Body Parameters

This endpoint does not use HTTP request body parameters.

Response

Name Type Description
shapes array of documents Documents with information about the query shapes that are served by the suggested indexes.
shapes[n].avgMs number Average duration in milliseconds for the queries examined that match this shape.
shapes[n].count number Number of queries examined that match this shape.
shapes[n].id objectId Unique id for this shape. Exists only for the duration of the API request.
shapes[n].inefficiencyScore number Average number of documents read for every document returned by the query. For more information, see Understanding the Query Inefficiency Score.
shapes[n].namespace string Namespace searched by the queries in this shape.
shapes[n].operations array of documents Documents with specific information and log lines for individual queries.
shapes[n].operations[n].predicates array of documents Documents containing the search criteria used by the query. Values in key-value pairs will be redacted in these predicates unless the user has Project Data Access Read Only permissions or higher.
shapes[n].operations[n].raw string Raw log line produced by the query.
shapes[n].operations[n].stats document Query statistics.
shapes[n].operations[n].stats.ms number Duration in milliseconds of the query.
shapes[n].operations[n].stats.nReturned number Number of results returned by the query.
shapes[n].stats.nScanned number Number of documents read by the query.
shapes[n].stats.ts number Query timestamp, in seconds since epoch.
suggestedIndexes array of documents Documents with information about the indexes suggested by the Performance Advisor.
suggestedIndexes[n].id objectId Unique id for this suggested index.
suggestedIndexes[n].impact array of objectIds

List of unique identifers which correspond the query shapes in this response which pertain to this suggested index.

Note

This field does not correspond to Impact in the Performance Advisor user interface.
suggestedIndexes[n].index array of documents

Each array element is a document that specifies a key in the index and its sort order, ascending or descending.

  • A value of 1 indicates an ascending sort order.
  • A value of -1 indicates a descending sort order.

Keys in indexes with multiple keys appear in the same order that they appear in the index.
suggestedIndexes[n].index.<fieldname> string Specific field to be indexed.
suggestedIndexes[n].namespace string Namespace of the suggested index.
suggestedIndexes[n].weight number Estimated percentage performance improvement that the suggested index would provide. Corresponds to Impact in the Performance Advisor user interface.

Example Request

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curl --user '{PUBLIC-KEY}:{PRIVATE-KEY}' --digest \
 --header 'Accept: application/json' \
 --include \
 --request GET 'https://{OPSMANAGER-HOST}:{PORT}/api/public/v1.0/groups/{PROJECT-ID}/hosts/{HOST-ID}/performanceAdvisor/suggestedIndexes?pretty=true'

Example Response

Response Header

HTTP/1.1 401 Unauthorized
Content-Type: application/json;charset=ISO-8859-1
Date: {dateInUnixFormat}
WWW-Authenticate: Digest realm="MMS Public API", domain="", nonce="{nonce}", algorithm=MD5, op="auth", stale=false
Content-Length: {requestLengthInBytes}
Connection: keep-alive

HTTP/1.1 200 OK
Vary: Accept-Encoding
Content-Type: application/json
Strict-Transport-Security: max-age=300
Date: {dateInUnixFormat}
Connection: keep-alive
Content-Length: {requestLengthInBytes}
X-MongoDB-Service-Version: gitHash={gitHash}; versionString={ApplicationVersion}

Response Body

{
  "shapes" : [ {
    "avgMs" : 42,
    "count" : 2,
    "id" : "5b74689a80eef53f3388897e",
    "inefficiencyScore" : 50000,
    "namespace" : "test.users",
    "operations" : [ {
      "predicates" : [{ "find" : { "emails" : "la@sa.kp" } }],
      "raw" : "2018-08-15T17:14:11.115+0000 I COMMAND  [conn4576] command test.users appName: \"MongoDB Shell\" command: find { find: \"users\", filter: { emails: \"la@sa.kp\" }, lsid: { id: UUID(\"1a4e71d3-9b67-4e9c-b078-9fdf3fae9091\") }, $clusterTime: { clusterTime: Timestamp(1534353241, 1), signature: { hash: BinData(0, AB91938B7CF7BC87994A2909A98D87F29101EFA0), keyId: 6589681559618453505 } }, $db: \"test\" } planSummary: COLLSCAN keysExamined:0 docsExamined:50000 cursorExhausted:1 numYields:391 nreturned:1 reslen:339 locks:{ Global: { acquireCount: { r: 784 } }, Database: { acquireCount: { r: 392 } }, Collection: { acquireCount: { r: 392 } } } protocol:op_msg 34ms",
      "stats" : {
        "ms" : 34,
        "nReturned" : 1,
        "nScanned" : 50000,
        "ts" : 1534353251147
      }
    }, {
      "predicates" : [{ "find" : { "emails" : "tocde@fijoow.to" } }],
      "raw" : "2018-08-15T17:14:18.665+0000 I COMMAND  [conn4576] command test.users appName: \"MongoDB Shell\" command: find { find: \"users\", filter: { emails: \"tocde@fijoow.to\" }, lsid: { id: UUID(\"1a4e71d3-9b67-4e9c-b078-9fdf3fae9091\") }, $clusterTime: { clusterTime: Timestamp(1534353241, 1), signature: { hash: BinData(0, AB91938B7CF7BC87994A2909A98D87F29101EFA0), keyId: 6589681559618453505 } }, $db: \"test\" } planSummary: COLLSCAN keysExamined:0 docsExamined:50000 cursorExhausted:1 numYields:390 nreturned:1 reslen:342 locks:{ Global: { acquireCount: { r: 782 } }, Database: { acquireCount: { r: 391 } }, Collection: { acquireCount: { r: 391 } } } protocol:op_msg 36ms",
      "stats" : {
        "ms" : 36,
        "nReturned" : 1,
        "nScanned" : 50000,
        "ts" : 1534353258697
      }
    } ]
  } ],
  "suggestedIndexes" : [ {
    "id" : "5b74689a80eef53f3388897f",
    "impact" : [ "5b74689a80eef53f3388897e" ],
    "index" : [ {
      "emails" : 1
    } ],
    "namespace" : "test.users",
    "weight" : 37.220480901815623
  }, {
    "id" : "5b74689a80eef53f33888980",
    "impact" : [ "5b74689a80eef53f3388897d" ],
    "index" : [ {
      "email" : 1
    } ],
    "namespace" : "test.inventory",
    "weight" : 19.037578309966488
  } ]
}

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