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