The user should be able to send a JSON schema, which is later used for validation of provided data when creating or updating, and itâs also used to join documents from various collections. The connector can read data from: a collection an AQL cursor (query specified by the user) When reading data from a collection, the reading job is split into many Spark tasks, one for each shard in the ArangoDB source collection. We have to create an API not only for our frontend but also for external integrations. Moreover, we have to be able to operate directly on these nested documents (children, grandchildren, great-grandchildren etc.). We have a lot of data on many levels, which means, in a document model, many levels of nested documents.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |