Copy data to or from Azure Cosmos DB for MongoDB using Azure Data Factory or Synapse Analytics

บทความ
01/05/2024

APPLIES TO: Azure Data Factory Azure Synapse Analytics

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This article outlines how to use Copy Activity in Azure Data Factory and Synapse Analytics pipelines to copy data from and to Azure Cosmos DB for MongoDB. The article builds on Copy Activity, which presents a general overview of Copy Activity.

Note

This connector only supports copy data to/from Azure Cosmos DB for MongoDB. For Azure Cosmos DB for NoSQL, refer to the Azure Cosmos DB for NoSQL connector. Other API types are not currently supported.

Supported capabilities

This Azure Cosmos DB for MongoDB connector is supported for the following capabilities:

Supported capabilities	IR	Managed private endpoint
Copy activity (source/sink)	① ②	✓

① Azure integration runtime ② Self-hosted integration runtime

You can copy data from Azure Cosmos DB for MongoDB to any supported sink data store, or copy data from any supported source data store to Azure Cosmos DB for MongoDB. For a list of data stores that Copy Activity supports as sources and sinks, see Supported data stores and formats.

You can use the Azure Cosmos DB for MongoDB connector to:

Copy data from and to the Azure Cosmos DB for MongoDB.
Write to Azure Cosmos DB as insert or upsert.
Import and export JSON documents as-is, or copy data from or to a tabular dataset. Examples include a SQL database and a CSV file. To copy documents as-is to or from JSON files or to or from another Azure Cosmos DB collection, see Import or export JSON documents.

Get started

To perform the Copy activity with a pipeline, you can use one of the following tools or SDKs:

Create a linked service to Azure Cosmos DB for MongoDB using UI

Use the following steps to create a linked service to Azure Cosmos DB for MongoDB in the Azure portal UI.

Browse to the Manage tab in your Azure Data Factory or Synapse workspace and select Linked Services, then click New:
- Azure Data Factory
- Azure Synapse
Search for Azure Cosmos DB for MongoDB and select that connector.
Configure the service details, test the connection, and create the new linked service.

Connector configuration details

The following sections provide details about properties you can use to define Data Factory entities that are specific to Azure Cosmos DB for MongoDB.

Linked service properties

The following properties are supported for the Azure Cosmos DB for MongoDB linked service:

Property	Description	Required
type	The type property must be set to CosmosDbMongoDbApi.	Yes
connectionString	Specify the connection string for your Azure Cosmos DB for MongoDB. You can find it in the Azure portal -> your Azure Cosmos DB blade -> primary or secondary connection string. For 3.2 server version, the string pattern is `mongodb://<cosmosdb-name>:<password>@<cosmosdb-name>.documents.azure.com:10255/?ssl=true&replicaSet=globaldb`. For 3.6+ server versions, the string pattern is `mongodb://<cosmosdb-name>:<password>@<cosmosdb-name>.mongo.cosmos.azure.com:10255/?ssl=true&replicaSet=globaldb&retrywrites=false&maxIdleTimeMS=120000&appName=@<cosmosdb-name>@`. You can also put a password in Azure Key Vault and pull the `password` configuration out of the connection string. Refer to Store credentials in Azure Key Vault with more details.	Yes
database	Name of the database that you want to access.	Yes
isServerVersionAbove32	Specify whether the server version is above 3.2. Allowed values are true and false(default). This will determine the driver to use in the service.	Yes
connectVia	The Integration Runtime to use to connect to the data store. You can use the Azure Integration Runtime or a self-hosted integration runtime (if your data store is located in a private network). If this property isn't specified, the default Azure Integration Runtime is used.	No

Example

{
    "name": "CosmosDbMongoDBAPILinkedService",
    "properties": {
        "type": "CosmosDbMongoDbApi",
        "typeProperties": {
            "connectionString": "mongodb://<cosmosdb-name>:<password>@<cosmosdb-name>.documents.azure.com:10255/?ssl=true&replicaSet=globaldb",
            "database": "myDatabase",
            "isServerVersionAbove32": "false"
        },
        "connectVia": {
            "referenceName": "<name of Integration Runtime>",
            "type": "IntegrationRuntimeReference"
        }
    }
}

Dataset properties

For a full list of sections and properties that are available for defining datasets, see Datasets and linked services. The following properties are supported for Azure Cosmos DB for MongoDB dataset:

Property	Description	Required
type	The type property of the dataset must be set to CosmosDbMongoDbApiCollection.	Yes
collectionName	The name of the Azure Cosmos DB collection.	Yes

Example

{
    "name": "CosmosDbMongoDBAPIDataset",
    "properties": {
        "type": "CosmosDbMongoDbApiCollection",
        "typeProperties": {
            "collectionName": "<collection name>"
        },
        "schema": [],
        "linkedServiceName":{
            "referenceName": "<Azure Cosmos DB for MongoDB linked service name>",
            "type": "LinkedServiceReference"
        }
    }
}

Copy Activity properties

This section provides a list of properties that the Azure Cosmos DB for MongoDB source and sink support.

For a full list of sections and properties that are available for defining activities, see Pipelines.

Azure Cosmos DB for MongoDB as source

The following properties are supported in the Copy Activity source section:

Property	Description	Required
type	The type property of the copy activity source must be set to CosmosDbMongoDbApiSource.	Yes
filter	Specifies selection filter using query operators. To return all documents in a collection, omit this parameter or pass an empty document ({}).	No
cursorMethods.project	Specifies the fields to return in the documents for projection. To return all fields in the matching documents, omit this parameter.	No
cursorMethods.sort	Specifies the order in which the query returns matching documents. Refer to cursor.sort().	No
cursorMethods.limit	Specifies the maximum number of documents the server returns. Refer to cursor.limit().	No
cursorMethods.skip	Specifies the number of documents to skip and from where MongoDB begins to return results. Refer to cursor.skip().	No
batchSize	Specifies the number of documents to return in each batch of the response from MongoDB instance. In most cases, modifying the batch size will not affect the user or the application. Azure Cosmos DB limits each batch cannot exceed 40MB in size, which is the sum of the batchSize number of documents' size, so decrease this value if your document size being large.	No (the default is 100)

Tip

ADF support consuming BSON document in Strict mode. Make sure your filter query is in Strict mode instead of Shell mode. More description can be found in the MongoDB manual.

Example

"activities":[
    {
        "name": "CopyFromCosmosDBMongoDBAPI",
        "type": "Copy",
        "inputs": [
            {
                "referenceName": "<Azure Cosmos DB for MongoDB input dataset name>",
                "type": "DatasetReference"
            }
        ],
        "outputs": [
            {
                "referenceName": "<output dataset name>",
                "type": "DatasetReference"
            }
        ],
        "typeProperties": {
            "source": {
                "type": "CosmosDbMongoDbApiSource",
                "filter": "{datetimeData: {$gte: ISODate(\"2018-12-11T00:00:00.000Z\"),$lt: ISODate(\"2018-12-12T00:00:00.000Z\")}, _id: ObjectId(\"5acd7c3d0000000000000000\") }",
                "cursorMethods": {
                    "project": "{ _id : 1, name : 1, age: 1, datetimeData: 1 }",
                    "sort": "{ age : 1 }",
                    "skip": 3,
                    "limit": 3
                }
            },
            "sink": {
                "type": "<sink type>"
            }
        }
    }
]

Azure Cosmos DB for MongoDB as sink

The following properties are supported in the Copy Activity sink section:

Property	Description	Required
type	The type property of the Copy Activity sink must be set to CosmosDbMongoDbApiSink.	Yes
writeBehavior	Describes how to write data to Azure Cosmos DB. Allowed values: insert and upsert. The behavior of upsert is to replace the document if a document with the same `_id` already exists; otherwise, insert the document. Note: The service automatically generates an `_id` for a document if an `_id` isn't specified either in the original document or by column mapping. This means that you must ensure that, for upsert to work as expected, your document has an ID.	No (the default is insert)
writeBatchSize	The writeBatchSize property controls the size of documents to write in each batch. You can try increasing the value for writeBatchSize to improve performance and decreasing the value if your document size being large.	No (the default is 10,000)
writeBatchTimeout	The wait time for the batch insert operation to finish before it times out. The allowed value is timespan.	No (the default is 00:30:00 - 30 minutes)

Tip

To import JSON documents as-is, refer to Import or export JSON documents section; to copy from tabular-shaped data, refer to Schema mapping.

Example

"activities":[
    {
        "name": "CopyToCosmosDBMongoDBAPI",
        "type": "Copy",
        "inputs": [
            {
                "referenceName": "<input dataset name>",
                "type": "DatasetReference"
            }
        ],
        "outputs": [
            {
                "referenceName": "<Document DB output dataset name>",
                "type": "DatasetReference"
            }
        ],
        "typeProperties": {
            "source": {
                "type": "<source type>"
            },
            "sink": {
                "type": "CosmosDbMongoDbApiSink",
                "writeBehavior": "upsert"
            }
        }
    }
]

Import and export JSON documents

You can use this Azure Cosmos DB connector to easily:

Copy documents between two Azure Cosmos DB collections as-is.
Import JSON documents from various sources to Azure Cosmos DB, including from MongoDB, Azure Blob storage, Azure Data Lake Store, and other file-based stores that the service supports.
Export JSON documents from an Azure Cosmos DB collection to various file-based stores.

To achieve schema-agnostic copy:

When you use the Copy Data tool, select the Export as-is to JSON files or Azure Cosmos DB collection option.
When you use activity authoring, choose JSON format with the corresponding file store for source or sink.

Schema mapping

To copy data from Azure Cosmos DB for MongoDB to tabular sink or reversed, refer to schema mapping.

Specifically for writing into Azure Cosmos DB, to make sure you populate Azure Cosmos DB with the right object ID from your source data, for example, you have an "id" column in SQL database table and want to use the value of that as the document ID in MongoDB for insert/upsert, you need to set the proper schema mapping according to MongoDB strict mode definition (_id.$oid) as the following:

Map ID in MongoDB sink

After copy activity execution, below BSON ObjectId is generated in sink:

{
    "_id": ObjectId("592e07800000000000000000")
}

For a list of data stores that Copy Activity supports as sources and sinks, see supported data stores.

แชร์ผ่าน

Copy data to or from Azure Cosmos DB for MongoDB using Azure Data Factory or Synapse Analytics

Supported capabilities

Get started

Create a linked service to Azure Cosmos DB for MongoDB using UI

Connector configuration details

Linked service properties

Dataset properties

Copy Activity properties

Azure Cosmos DB for MongoDB as source

Azure Cosmos DB for MongoDB as sink

Import and export JSON documents

Schema mapping

คำติชม

แหล่งทรัพยากรเพิ่มเติม

แชร์ผ่าน

Copy data to or from Azure Cosmos DB for MongoDB using Azure Data Factory or Synapse Analytics

Supported capabilities

Get started

Create a linked service to Azure Cosmos DB for MongoDB using UI

Connector configuration details

Linked service properties

Dataset properties

Copy Activity properties

Azure Cosmos DB for MongoDB as source

Azure Cosmos DB for MongoDB as sink

Import and export JSON documents

Schema mapping

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