To perform incremental updates to the document store in Haystack, you first need to understand the structure of your document store and how Haystack manages data. A document store is designed to store documents, which can be text, images, or other types of data that your application uses. In Haystack, you typically interact with a Document Store interface that allows you to add, update, or delete documents as required.
When you want to perform an incremental update, the first step is to identify the documents you wish to update. You can do this by querying the document store to retrieve the documents that match your criteria, such as specific IDs or attributes. For example, if you have a document with a unique identifier, you can load it using that identifier. Once you have the document, you can modify its content or attributes according to your needs. After making the necessary changes, you will use the corresponding method in Haystack to update the document in the store.
Finally, it's important to ensure that the incremental update is efficient and doesn’t disturb the entire dataset. You can use bulk update methods if you have multiple documents to update at once, which can be more efficient than updating each one individually. For instance, if you’re using Elasticsearch as your document store, you can use the update API, providing the updated document as an object. This approach helps maintain performance and ensures that your document store remains coherent without needing an overall rebuild of the index or data set.