Get Suggested Indexes

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Resource

Request Path Parameters
Request Query Parameters
Request Body Parameters
Response
Example Request
Example Response
Response Header
Response Body

Retrieves suggested indexes as determined by the Performance Advisor.

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

Resource

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.

For 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.

Request Body Parameters

This endpoint doesn't 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.avgObjSize`	number	Average object size.
`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. 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 performance improvement that the suggested index would provide. Corresponds to Impact in the Performance Advisor user interface.

Example Request

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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