SciQLop Cache

A fast, persistent key-value cache for Python and C++20. Built on SQLite with hybrid blob/file storage, it stays flat from 100 to 1M+ entries while being 2x faster than diskcache on writes and up to 6x faster in batched transactions.

pip install pysciqlop-cache

Quick Start (Python)

from pysciqlop_cache import Cache

cache = Cache("/tmp/my-cache")
cache["sensor/temperature"] = {"ts": 1710000000, "values": [21.3, 21.5, 21.4]}
print(cache["sensor/temperature"])

Any picklable Python object works out of the box. For better performance with structured data, use the msgspec serializer:

from pysciqlop_cache import Cache, MsgspecSerializer

cache = Cache("/tmp/my-cache", serializer=MsgspecSerializer())

Expiration and Tags

cache.set("session/abc", token, expire=3600)          # expires in 1 hour
cache.set("sensor/temp", data, tag="sensor")           # tagged entry
cache.set("sensor/hum", data, expire=600, tag="sensor")

cache.evict_tag("sensor")   # bulk-remove all "sensor" entries
cache.expire()               # remove all expired entries

LRU Eviction

cache = Cache("/tmp/bounded", max_size=1_000_000_000)  # 1 GB limit
# Least-recently-used entries are evicted automatically in the background

Atomic Transactions

with cache.transact():
    cache["balance"] = cache.get("balance", 0) - amount
    cache["log"] = f"withdrew {amount}"
# Automatically commits on success, rolls back on exception

transact() is reentrant on the same thread, so transactional helpers compose cleanly:

def withdraw(amount):
    with cache.transact():
        cache["balance"] = cache.get("balance", 0) - amount

with cache.transact():        # outer
    withdraw(50)               # nested transact is fine
    withdraw(20)
# Outer commits; if it raises, both withdraws roll back together.

Sharded Concurrency with FanoutCache

For write-heavy concurrent workloads, FanoutCache shards keys across N independent stores:

from pysciqlop_cache import FanoutCache

cache = FanoutCache("/tmp/sharded", shard_count=8, max_size=1_000_000_000)
cache["key"] = "value"         # routed to shard via hash(key) % 8

with cache.transact("key"):   # transaction scoped to key's shard
    cache["key"] = transform(cache["key"])

Lightweight Index

Index and FanoutIndex are bare key-value stores with no expiration, eviction, tags, or stats overhead:

from pysciqlop_cache import Index

idx = Index("/tmp/my-index")
idx["dataset/v2"] = metadata

Distributed Locking

# Cross-process lock backed by atomic add()
with cache.lock("my-resource", expire=30):
    # exclusive access across processes
    do_work()

Memoization

@cache.memoize(expire=300, tag="compute")
def expensive(x, y):
    return heavy_computation(x, y)

expensive(1, 2)  # computed
expensive(1, 2)  # served from cache

Atomic Counters

cache.incr("page_views")             # 1
cache.incr("page_views", delta=5)    # 6
cache.decr("page_views")             # 5

Hit/Miss Statistics

cache = Cache("/tmp/stats")
cache.set("k", "v")
cache.get("k")          # hit
cache.get("missing")    # miss
print(cache.stats())    # {"hits": 1, "misses": 1}
cache.reset_stats()

Integrity Checking

result = cache.check()       # verify structural integrity
result = cache.check(True)   # verify and fix (orphaned files, counter drift)
print(result.ok, result.orphaned_files, result.dangling_rows)

Disk Usage

print(cache.volume())  # total bytes on disk (SQLite DB + file-backed values)
print(cache.size())    # total bytes of stored values only

Dict-like Interface

All store types support the standard Python dict interface:

cache["key"] = value           # set
value = cache["key"]           # get
del cache["key"]               # delete
"key" in cache                 # exists
for key in cache: ...          # iterate keys
len(cache)                     # count

Migrating from diskcache

# Migrate an existing diskcache Cache or FanoutCache
python -m pysciqlop_cache.migrate /old/diskcache /new/sciqlop-cache

# Migrate a diskcache Index
python -m pysciqlop_cache.migrate --type index /old/index /new/index

# Migrate and delete entries from source as they are copied
python -m pysciqlop_cache.migrate --drop /old/diskcache /new/sciqlop-cache

Auto-detects Cache vs FanoutCache, preserves expiration TTLs and tags. Use --type index for Index sources (creates a lightweight sciqlop-cache Index). Also usable as a library:

from pysciqlop_cache.migrate import migrate
result = migrate("/old/cache", "/new/cache", drop=True)
result = migrate("/old/index", "/new/index", store_type="index")
print(result)  # {"migrated": 1234, "skipped": 0, "errors": 0, "elapsed_secs": 1.5}

C++ API

#include "sciqlop_cache/sciqlop_cache.hpp"

// Full-featured cache with expiration, LRU eviction, tags, and stats
Cache cache(".cache/", /*max_size=*/1'000'000'000);

cache.set("key", std::vector<char>{'a', 'b', 'c'});
cache.set("key", data, 60s);                  // with expiration
cache.set("key", data, "mytag");               // with tag
cache.set("key", data, 60s, "mytag");          // both

auto value = cache.get("key");                 // std::optional<Buffer>
cache.del("key");
cache.pop("key");                              // get + delete
cache.add("key", data);                        // set only if absent
cache.touch("key", 120s);                      // update expiration
cache.evict_tag("mytag");                      // bulk remove by tag

// Bare key-value store (no expiration/eviction/tags overhead)
Index index(".index/");

// Atomic counters
cache.incr("counter", 1, /*default=*/0);
cache.decr("counter");

// Integrity and diagnostics
auto cr = cache.check();         // structural integrity
auto cr2 = cache.check(true);    // verify and fix
cache.volume();                  // total disk usage in bytes
cache.stats();                   // {hits, misses}

// Sharded variants for write concurrency
FanoutCache fc(".fc/", /*shard_count=*/8, /*max_size=*/0);
FanoutIndex fi(".fi/", /*shard_count=*/8);

Concurrency

Thread-safe: per-instance mutex + per-instance SQLite connection. Multiple threads can share a single Cache instance.
Multi-process safe: SQLite WAL mode with 600s busy timeout. Multiple processes can open the same cache directory.
Fork-safe: pthread_atfork quiescing makes both a one-shot fork → touch the cache → exit pattern and a reused worker pool (processes forked once, then touching the cache repeatedly over a long lifetime) safe — see docs/known-issues/pool-reuse-fork-safety-gap.md for the investigation.
FanoutCache/FanoutIndex: shard keys across N independent stores for write concurrency. Each shard has its own database and lock.

Performance

Latency scaling (100 to 1M entries, 256-byte values)

Scaling benchmark

Latency distribution

Latency vs value size (64B to 1MB)

Value size benchmark

Batched transactions (per-op cost)

Amortized per-op latency drops significantly with larger batches, especially for small values:

Batch per-op cost

Reproduce

# Scaling benchmarks
PYTHONPATH=build python benchmark/scaling.py --max-entries 1000000 --backend both > results.csv
python benchmark/plot_scaling.py results.csv -o benchmark/scaling_chart.png

PYTHONPATH=build python benchmark/scaling.py --max-entries 1000000 --raw --backend both > raw.csv
python benchmark/plot_scaling.py raw.csv --violin -o benchmark/scaling_violin.png

# Value-size and batch benchmarks
PYTHONPATH=build python benchmark/bench_valuesize.py > benchmark/valuesize_results.csv
python benchmark/plot_valuesize.py benchmark/valuesize_results.csv -o benchmark

Building from Source

pip install meson-python numpy
meson setup build -Dwith_tests=true
meson compile -C build
meson test -C build

License

MIT

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BLAKE2b-256	`ea8e284985eb1b1dc4ddb343c1d3e3dd15b7ac3ee2e4fd06bfcf3a15dca2f22b`

Algorithm	Hash digest
SHA256	`3c6adca467f59c6baee5d9e00aa84ad3e5bea3a99726110bd6995aa7778b0df5`
MD5	`65763c6c3a3a98dab847967c8b9319c7`
BLAKE2b-256	`25b0c10824750dd179479c1975932d88db759e6a9ad8f1d05e53b8750317ed72`

Algorithm	Hash digest
SHA256	`38fa7b8dcaec17723c5dd77b606fc526c1338858867b1c7abaea7d80e4a13c82`
MD5	`1469996a750829afa7094c682118e220`
BLAKE2b-256	`66502516bc9b1c2f8d93e483c843dd68efba072b095e4135a7eca99339dcd206`

Algorithm	Hash digest
SHA256	`1d5cd1a2be2ab3f38f6fec60df5b0eb31b3e86795307f115f20cfcd0097a009d`
MD5	`13f64b7671c8a0182482f301446273b8`
BLAKE2b-256	`d0f0fd4d3a0a162f392385bb45f03db77a75839344dcb0a77a43f4f259ff27e4`

Algorithm	Hash digest
SHA256	`b64075974a0984829d1ff9c5ef975695e76145da6d430dc1034d8ada6911dcc9`
MD5	`0c5d5eb91f269d19724cf961138be72a`
BLAKE2b-256	`ffeb81c06f29c3d7363285f3c66636d4926712166ec6add4d42330db496b9482`

pysciqlop-cache 0.1.7

SciQLop Cache

Quick Start (Python)

Expiration and Tags

LRU Eviction

Atomic Transactions

Sharded Concurrency with FanoutCache

Lightweight Index

Distributed Locking

Memoization

Atomic Counters

Hit/Miss Statistics

Integrity Checking

Disk Usage

Dict-like Interface

Migrating from diskcache

C++ API

Concurrency

Performance

Latency scaling (100 to 1M entries, 256-byte values)

Latency vs value size (64B to 1MB)

Batched transactions (per-op cost)

Reproduce

Building from Source

License

Project links

Key dates

1 maintainer

Credits

GitHub Statistics

License

Requires

Classifiers

Download files

Source Distribution

Built Distributions

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Algorithm	Hash digest
SHA256	`268bca71d063677c23cbcd0b85c1a862fa30b4a84424a74bafdffeb095c87132`
MD5	`cb2e1defa07c8b91448b7f16f9790957`
BLAKE2b-256	`dd2fb5f26edcc7226cea0686fc62577fdff65b9feee1a7e94bfff6eceade30ef`

Algorithm	Hash digest
SHA256	`9fcfe5fa29fd3f64046faf9757f750f4f82255b88deca395374bd03b3f8da62b`
MD5	`900bed680e719dc04d0107bc96cdb438`
BLAKE2b-256	`0d4f94be4c1a8222fa4d888eff21b5f07e16a24d46bfc847481de8295a079d4f`

Algorithm	Hash digest
SHA256	`ffbcaeca26c14ba510fe72ea8b6aab7386dad9cc38052b13d01030899477ecf5`
MD5	`43d357c9783d2c8b88885d4e2a44e5cc`
BLAKE2b-256	`a7166e4ab8a1fd0a797ee315b2af9d410c94560d8d5283805e9081302c79575c`

Algorithm	Hash digest
SHA256	`275edb27aa8230a1f6d94d24b75c17b81d61c2892ddfee3db44764f2b8a09aaa`
MD5	`3ba5947e7efa5c4a3b9a4119a71e4d41`
BLAKE2b-256	`6254c79310b7e562fd9152fa9cd5b7ae0ac4e5decebb7eae083e4768311a3426`

Algorithm	Hash digest
SHA256	`d36d97407d20c23693ec9f6cc990e7c38cc9006ed1ee76a0d4546ebc42f658d2`
MD5	`2a5a46b64e258b2ac66a063393fea956`
BLAKE2b-256	`7b8fec23145100e63c4ef355d568f55c8e3e9d8c02038cf2e7d9a4b213e79d97`

Algorithm	Hash digest
SHA256	`3f558a6b82b526d2a47e99c7d34259c9dd33901a0001734216d1abac87574c34`
MD5	`f6dff3cf1370bb73d41dc6979dde5d42`
BLAKE2b-256	`d7e4471cbe0cc27a6c5361a190e40694074e0f172f8c9128834e23459466d3ab`

Algorithm	Hash digest
SHA256	`40fd26bff3e1bd4387ab5b88a400868bfa8dbb013ef8690056cda152a707f122`
MD5	`956ab2d698c733ee160ff13a30deb8bd`
BLAKE2b-256	`eddb1d6e42618d41503d05a2568cc7dc1b8be61fb23d17f4b0b2e827b7ff1ff0`

Algorithm	Hash digest
SHA256	`749c1d78028393c0f187cb267f076b67ed16ddfa0345e32e680d108ae8a11653`
MD5	`e7acac22803014deb8bba4c9ea315c19`
BLAKE2b-256	`f9f054035beea6e6bb58194d659a02191be34c11878b7b6aad57eb0b5bdab233`

Algorithm	Hash digest
SHA256	`0cf1265a2654db868af64719fc4bc03d68c6536fbfd6db5a047c847a5e20d87f`
MD5	`bdd05f4aaf8902429e8b85f8452d6047`
BLAKE2b-256	`15d95208a1806db131001bfa65ac7c87924f587135c0907add4dd68e45259870`

Algorithm	Hash digest
SHA256	`d1aad08a0cc19eadf0d168bb39fd7b338cd39eb2f8a5dd9fbadd8b1e390fbf57`
MD5	`d6d91d6873d64e83ea2ade80673a160d`
BLAKE2b-256	`de4080c724be9d45fd2a95e95f2890c4af5323ef9aa3f7eb4007b5b6015bdc38`