############## Design Recipes ############## Learn how to build new data models, indexes, and more on top of the FoundationDB API. For more background, check out the :doc:`client-design` documentation. * :doc:`Blob `: Store binary large objects (blobs) in the database. * :doc:`Hierarchical Documents `: Create a representation for hierarchical documents. * :doc:`Multimaps `: Create a multimap data structure with multiset values. * :doc:`Priority Queues `: Create a data structure for priority queues supporting operations for push, pop_min, peek_min, pop_max, and peek_max. * :doc:`Queues `: Create a queue data structure that supports FIFO operations. * :doc:`Segmented Range Reads `: Perform range reads in calibrated batches. * :doc:`Simple Indexes `: Add (one or more) indexes to allow efficient retrieval of data in multiple ways. * :doc:`Spatial Indexing `: Create a spatial index for the database. * :doc:`Subspace Indirection `: Employ subspace indirection to manage bulk inserts or similar long-running operations. * :doc:`Tables `: Create a table data structure suitable for sparse data. * :doc:`Vector `: Create a vector data structure. .. toctree:: :maxdepth: 1 :titlesonly: :hidden: blob blob-java hierarchical-documents hierarchical-documents-java multimaps multimaps-java priority-queues priority-queues-java queues queues-java segmented-range-reads segmented-range-reads-java simple-indexes simple-indexes-java spatial-indexing spatial-indexing-java subspace-indirection subspace-indirection-java tables tables-java vector vector-java