Yes, you can load data from MongoDB incrementally usingADF , but you'll need to manage the incremental load process based on certain conditions, such as a timestamp or an incrementing field in your MongoDB collection.
- Identify Incremental Field:
- MongoDB doesn't inherently track changes, so you need a field in the documents that indicates when a document was created or updated. This is usually a timestamp field (e.g.,
createdAt
orupdatedAt
) or a numeric field (e.g., an auto-incrementing ID).
- MongoDB doesn't inherently track changes, so you need a field in the documents that indicates when a document was created or updated. This is usually a timestamp field (e.g.,
- Create a Source Dataset:
- Create a dataset in ADF for MongoDB that points to your collection.
- Define Query for Incremental Data:
- In the Source of your ADF pipeline, you can define a filter query to load only the new or modified data since the last load. For example:
{ "updatedAt": { "$gt": "last_loaded_timestamp" } }
- Replace
"last_loaded_timestamp"
with the value of the last loaded record's timestamp, which you'll need to store in a metadata store (like an Azure SQL Database, blob, or another storage).
- Set Up Control Flow (Lookup/Stored Last Processed Timestamp):
- Use the Lookup activity in ADF to retrieve the last loaded timestamp from your metadata store (e.g., Azure SQL or blob storage). This timestamp will be used in the MongoDB filter query to fetch only new or updated records.
- Copy Activity:
- In the Copy Activity, use the query with the
updatedAt
condition to only load the incremental data from MongoDB to Azure storage. This could be Azure Blob Storage, Azure Data Lake, etc.
- In the Copy Activity, use the query with the
- Update the Last Loaded Timestamp:
- After the load, update the stored timestamp to the maximum
updatedAt
value from the latest batch of data. This can be done with another Lookup or Stored Procedure Activity to update the timestamp in the metadata store for future incremental loads.
- After the load, update the stored timestamp to the maximum
Here is a link with details that may help you :