Introduction: The Quiet Power of a Constant Database In the high-stakes world of software development, performance is often a battleground. When applications need to serve millions of key-value lookups per second—think DNS servers, real-time ad exchanges, or high-frequency trading systems—every microsecond counts. Traditional database solutions like SQLite, Berkeley DB, or even lightweight key-value stores often introduce overhead from locking, fragmentation, or complex query parsing.
pthread_t threads[8]; for (int i = 0; i < 8; i++) pthread_create(&threads[i], NULL, worker, &c); for (int i = 0; i < 8; i++) pthread_join(threads[i], NULL); cdb-library version 2.6 final
June 2025 — reflecting the final stable release of version 2.6. Keywords: cdb-library version 2.6 final, constant database, key-value store, high-performance lookups, read-only database, DNS backend, libcdb, Daniel J. Bernstein, zero-lock database. Introduction: The Quiet Power of a Constant Database
#include <cdb.h> #include <pthread.h> #include <stdio.h> void* worker(void* arg) struct cdb* c = (struct cdb*)arg; struct cdb_find find; char key[16] = "example-key"; if (cdb_find(c, key, sizeof(key) - 1, &find) == CDB_OK) char value[256]; cdb_read(c, value, find.dlen, find.dpos); printf("Found: %s\n", value); pthread_t threads[8]; for (int i = 0; i
$ cdbget --version cdb-library version 2.6 final (compiled with GCC 13.2, CRC32-C enabled) We benchmarked version 2.6 final against its predecessor (2.5.3), Berkeley DB 18.1, and SQLite 3.45 (with PRAGMA journal_mode=OFF; ). Hardware: AMD EPYC 7742, 512GB RAM, Intel Optane P4800X SSD.
int main() struct cdb c; cdb_init(&c, open("data.cdb", O_RDONLY)); cdb_set_crc32c(&c, 1); // Enable hardware checksums