tree: c64fe46149d9fd2a87f326eec0bd457e4129f931 [path history] [tgz]
  1. blockfile/
  2. memory/
  3. simple/
  4. backend_cleanup_tracker.cc
  5. backend_cleanup_tracker.h
  6. backend_cleanup_tracker_unittest.cc
  7. backend_unittest.cc
  8. cache_util.cc
  9. cache_util.h
  10. cache_util_posix.cc
  11. cache_util_unittest.cc
  12. cache_util_win.cc
  13. DIR_METADATA
  14. disk_cache.cc
  15. disk_cache.h
  16. disk_cache_fuzzer.cc
  17. disk_cache_fuzzer.proto
  18. disk_cache_perftest.cc
  19. disk_cache_test_base.cc
  20. disk_cache_test_base.h
  21. disk_cache_test_util.cc
  22. disk_cache_test_util.h
  23. entry_unittest.cc
  24. net_log_parameters.cc
  25. net_log_parameters.h
  26. OWNERS
  27. README.md
net/disk_cache/README.md

disk_cache API

The disk_cache API provides for caches that can store multiple random-access byte streams of data associated with a key on disk (or in memory).

There are two kinds of entries that can be stored: regular and sparse.

Regular entries contain up to 3 separate data streams. Usually stream 0 would be used for some kind of primary small metadata (e.g. HTTP headers); stream 1 would contain the main payload (e.g. HTTP body); and stream 2 would optionally contain some auxiliary metadata that's needed only some of the time (e.g. V8 compilation cache). There is no requirement that these streams be used in this way, but implementations may expect similar size and usage characteristics.

Sparse entries have a stream 0 and a separate sparse stream that‘s accessed with special methods that have Sparse in their names. It’s an API misuse to try to access streams 1 or 2 of sparse entries or to call WriteSparseData on entries that have contents in those streams. Calling SparseReadData or GetAvailableRange to check whether entries are sparse is, however, permitted. An added entry becomes a regular entry once index 1 or 2 is written to, or it becomes a sparse entry once the sparse stream is written to. Once that is done, it cannot change type and the access/modification restrictions relevant to the type apply. Type of an entry can always be determined using SparseReadData or GetAvailableRange.

The sparse streams are named as such because they are permitted to have holes in the byte ranges of contents they represent (and implementations may also drop some pieces independently). For example, in the case of a regular entry, starting with an empty entry, and performing WriteData on some stream at offset = 1024, length = 1024, then another WriteData at offset = 3072, length = 1024, results in the stream having length = 4096, and the areas not written to filled in with zeroes.

In contrast, after the same sequence of WriteSparseData operations, the entry will actually keep track that [1024, 2048) and [3072, 4096) are valid, and will permit queries with GetAvailableRange, and only allow reads of the defined ranges.

net/disk_cache/disk_cache.h is the only include you need if you just want to use this API. disk_cache::CreateCacheBackend() is the first method you'll need to call.

The implementations

disk_cache/blockfile directory

This implementation backs the HTTP cache on Windows and OS X. It tries to pack many small entries caches typically have into “block” files, which can help performance but introduces a lot of complexity and makes recovery from corruption very tricky.

disk_cache/memory directory

This contains the in-memory-only implementation. It's used for incognito mode.

disk_cache/simple directory

This implementation backs the HTTP cache on Android, ChromeOS, and Linux, and is used to implement some features like CacheStorage on all platforms. The design is centered around roughly having a single file per cache entry (more precisely for streams 0 and 1), with a compact and simple in-memory index for membership tests, which makes it very robust against failures, but also highly sensitive to OS file system performance.