Source code for pyrocko.squirrel.cache

# http://pyrocko.org - GPLv3
#
# The Pyrocko Developers, 21st Century
# ---|P------/S----------~Lg----------

import logging

logger = logging.getLogger('psq.cache')


[docs]class ContentCache(object): ''' Simple memory cache for file contents. Squirrel manages data in small entities: nuts. Only the meta-data for each nut is stored in the database, content data has to be read from file. This cache helps to speed up data access for typical seismological access patterns. Content data for stations, channels and instrument responses is small in size but slow to parse so it makes sense to cache these indefinitely once read. Also, it is usually inefficient to read a single station from a station file, so it is better to cache the contents of the complete file even if only one station is requested (it is likely that other stations from that file will be used anyway). Content data for waveforms is large in size and we usually want to free the memory allocated for them after processing. Typical processing schemes require batches of waveforms to be available together (e.g. cross-correlations between pairs of stations) and there may be overlap between successive batches (e.g. sliding window processing schemes). This cache implementation uses named accessors and batch window counting for flexible content caching. Loaded contents are held in memory as long as an accessor is holding a reference to it. For each accessor a batch counter is maintained, which starts at 0 and is incremented using calls to :py:meth:`advance_accessor`. Content accesses are tracked with calls to :py:meth:`get`, which sets a "last access" attribute on the cached item to the current value of the batch counter (each accessor has its own last access attribute on the items it uses). References to items which have not been accessed during the latest batch by the accessor in question are released during :py:meth:`advance_accessor`. :py:meth:`put` inserts new items into the cache. :py:meth:`has` checks if there already is content cached for a given item. To remove all references held by a given accessor, :py:meth:`clear_accessor` can be called. **Example usage** For meta-data content to be cached indefinitely, no calls to :py:meth:`advance_accessor` or :py:meth:`clear_accessor` should be made. For waveform content one would call :py:meth:`advance_accessor` after each move of a sliding window or :py:meth:`clear_accessor` after each processed event. For a process requiring data from two independent positions of extraction, e.g. for cross-correlations between all possible pairs of a set of events, two separate accessor names could be used. ''' def __init__(self): self._entries = {} self._accessor_ticks = {} def _prune_outdated(self, path, segment, nut_mtime): try: cache_mtime = self._entries[path, segment][0] except KeyError: return if cache_mtime != nut_mtime: logger.debug('Forgetting (outdated): %s %s' % (path, segment)) del self._entries[path, segment]
[docs] def put(self, nut): ''' Insert a new/updated item into cache. :param nut: Content item with attached data object. :type nut: :py:class:`~pyrocko.squirrel.model.Nut` ''' path, segment, element, mtime = nut.key self._prune_outdated(path, segment, nut.file_mtime) if (path, segment) not in self._entries: self._entries[path, segment] = nut.file_mtime, {}, {} self._entries[path, segment][1][element] = nut.content
[docs] def get(self, nut, accessor='default'): ''' Get a content item and track its access. :param nut: Content item. :type nut: :py:class:`~pyrocko.squirrel.model.Nut` :param accessor: Name of accessing consumer. Giving a new name initializes a new accessor. :type accessor: str :returns: Content data object ''' path, segment, element, mtime = nut.key entry = self._entries[path, segment] if accessor not in self._accessor_ticks: self._accessor_ticks[accessor] = 0 entry[2][accessor] = self._accessor_ticks[accessor] return entry[1][element]
[docs] def has(self, nut): ''' Check if item's content is currently in cache. :param nut: Content item. :type nut: :py:class:`~pyrocko.squirrel.model.Nut` :returns: :py:class:`bool` ''' path, segment, element, nut_mtime = nut.key try: entry = self._entries[path, segment] cache_mtime = entry[0] entry[1][element] except KeyError: return False return cache_mtime == nut_mtime
[docs] def advance_accessor(self, accessor='default'): ''' Increment batch counter of an accessor. :param accessor: Name of accessing consumer. Giving a new name initializes a new accessor. :type accessor: str ''' if accessor not in self._accessor_ticks: self._accessor_ticks[accessor] = 0 ta = self._accessor_ticks[accessor] delete = [] for path_segment, entry in self._entries.items(): t = entry[2].get(accessor, ta) if t < ta: del entry[2][accessor] if not entry[2]: delete.append(path_segment) for path_segment in delete: logger.debug('Forgetting (advance): %s %s' % path_segment) del self._entries[path_segment] self._accessor_ticks[accessor] += 1
[docs] def clear_accessor(self, accessor='default'): ''' Clear all references held by an accessor. :param accessor: Name of accessing consumer. :type accessor: str ''' delete = [] for path_segment, entry in self._entries.items(): entry[2].pop(accessor, None) if not entry[2]: delete.append(path_segment) for path_segment in delete: logger.debug('Forgetting (clear): %s %s' % path_segment) del self._entries[path_segment] del self._accessor_ticks[accessor]
[docs] def clear(self): ''' Empty the cache. ''' for accessor in list(self._accessor_ticks.keys()): self.clear_accessor(accessor) self._entries = {} self._accessor_ticks = {}