In this indexing approach, each partition is completely separate: each partition maintains its own secondary indexes, covering only the documents in that partition. It doesn’t care what data is stored in other partitions. Whenever you write to the database — to add, remove, or update a document — you only need to deal with the partition that contains the document ID that you are writing. For that reason, a document-partitioned index is also known as a local index
