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
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
To specify multiple namespaces, pass the parameter multiple times
using an ampersand ( For example:
| 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 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.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.
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
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
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
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 } ] }