This is the new application that builds and runs Map/reduce views against FoundationDB. Currently only map indexes are supported and it will always return the full index.
Code layout:
couch_views - Main entry point to query a viewcouch_views_batch - Dynamically determine optimal batch sizes for view indexers.couch_views_batch_impl - Default implementation for optimizing batch sizes.couch_views_encoding - Encodes view keys that are byte comparable following CouchDB view sort order.couch_views_fdb - Maps view operations to FoundationDB logic.couch_views_http - View specific helpers for chttpdcouch_views_indexer - couch_jobs worker that builds an index from the changes feed.couch_views_reader - Reads from the index for queriescouch_vews_jobs - couch_views interactions with couch_jobs. It handles adding index jobs and subscribes to jobs.couch_views_server - Spawns couch_views_indexer workers to handle index update jobs.couch_views_updater - Update interactive indexes during doc update transactionscouch_views_util - Various utility functions; Batch size sensing parameters ; batch_initial_size = 100 ; Initial batch size in number of documents ; batch_search_increment = 500 ; Size change when searching for the threshold ; batch_sense_increment = 100 ; Size change increment after hitting a threshold ; batch_max_tx_size_bytes = 9000000 ; Maximum transaction size in bytes ; batch_max_tx_time_msec = 4500 ; Maximum transaction time in milliseconds ; batch_thresold_penalty = 0.2 ; Amount to reduce batch size when crossing a threshold
The default batch size sensing parameters are fairly straight forward. These values can be tweaked in the config if desired. If you find that you need to tweak these values for any reason please open an issue on GitHub reporting your experience in case we need to adjust them for common cases.