Description Usage Arguments Value Examples
Counts documents in a collection, either all or only those which satisfy a specified predicate.
1 2 | countDocuments(connectionInfo, predicate = "", partitionKey = "",
consistencyLevel = "", sessionToken = "", userAgent = "")
|
connectionInfo |
A DocumentDB connection info object generated with getDocumentDBConnectionInfo(). |
predicate |
Optional. The predicate which has to be satisfied. Example: "c.machineId IN ('Machine 1', 'Machine 2')" counts all documents of machine 1 and 2. Default is "", ie. all documents in the collection are counted. |
partitionKey |
Optional. Can be used to limit the operation to a certain partition. |
consistencyLevel |
Optional. The consistency level override. The valid values are: Strong, Bounded, Session, or Eventual (in order of strongest to weakest). The override must be the same or weaker than the account's configured consistency level. |
sessionToken |
Optional. A string token used with session level consistency. For more information, see Using consistency levels in DocumentDB. |
userAgent |
Optional. A string that specifies the client user agent performing the request. The recommended format is user agent name/version. For example, the official DocumentDB .NET SDK sets the User-Agent string to Microsoft.Document.Client/1.0.0.0. A custom user-agent could be something like ContosoMarketingApp/1.0.0. |
The number of documents counted and some information extracted from the REST API response such as request charge and session token.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | # load the documentdbr package
library(documentdbr)
# get a DocumentDBConnectionInfo object
myCollection <- getDocumentDBConnectionInfo(
accountUrl = "https://somedocumentdbaccount.documents.azure.com",
primaryOrSecondaryKey = "t0C36UstTJ4c6vdkFyImkaoB6L1yeQidadg6wasSwmaK2s8JxFbEXQ0e3AW9KE1xQqmOn0WtOi3lxloStmSeeg==",
databaseId = "MyDatabaseId",
collectionId = "MyCollectionId"
)
# count all documents in the collection
queryResult <- countDocuments(myCollection)
cat(paste("The collection has", as.numeric(queryResult$count), "documents.\n"))
# count all documents where value1 < 0.5
queryResult <- countDocuments(myCollection, predicate = "c.value1 < 0.5")
cat(paste("In", as.numeric(queryResult$count), "documents value1 is < 0.5."))
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