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1// sketch_cpc.nx -- CPC sparse-mode cardinality sketch (Lang 2017 / FM85). 2// 3// "Back to the Future: An Even More Nearly Optimal Cardinality Estimation 4// Algorithm" -- arXiv:1708.06839. CPC is the headline cardinality stomp 5// over HLL: same memory, tighter rel-stddev via the HIP estimator. 6// 7// THIS V1 SHIPS THE SPARSE MODE + HIP ESTIMATOR: 8// - sparse mode: store coupons in a hash set until capacity reached 9// - HIP estimator: kappa accumulates 1/theta on every distinct coupon 10// 11// DENSE MODE (pinned + sliding) queued for v2. Sparse mode alone is 12// sufficient for cardinalities up to ~K coupons (typical K=4096 -> exact 13// for n < ~3000, then accurate-via-HIP up to ~tens-of-thousands). 14// 15// COUPON DERIVATION: 16// hash(key) -> 64-bit value 17// column = (hash >> 32) & (m - 1) (high bits choose register column) 18// row = clz32(hash & 0xFFFFFFFF) + 1 (low bits drive rho, capped at w) 19// coupon_id = column * w + row (unique pair encoding) 20// 21// HIP ESTIMATOR (Cohen 2015, Lang 2017): 22// For each distinct coupon arrival i (0..n-1): 23// theta_i = (M - i) / M where M = m * w (total possible coupons) 24// kappa += 1 / theta_i = M / (M - i) 25// estimate = kappa 26// At i = 0 (first coupon): theta = 1.0; kappa += 1. 27// At i = M-1: theta = 1/M; kappa += M. 28// 29// COMPLEMENTS the cardinality family: 30// - HLL/LC/KMV/Theta: classical estimators, lots of variance 31// - CPC (this): HIP-based, near-optimal variance via online accounting 32// 33// COMPOSES against sketch_hash_map for sparse coupon storage. 34// 35// LOSSLESS-LANGUAGE DISCIPLINE: estimate has rel_stddev approx 36// 1/sqrt(M) at confidence 0.6827. For m=128, w=32 (M=4096): ~1.56% rel. 37// For HLL_8 lg_k=7 (m=128): ~9.2% rel. CPC stomp ~6x improvement. 38 39import "syscalls.nx" 40import "murmur3.nx" 41import "nx_bits.nx" 42import "sketch_hash_map.nx" 43import "sketch_types.nx" 44 45const NX_CPC_MIN_LG_K: i64 = 4 46const NX_CPC_MAX_LG_K: i64 = 14 47const NX_CPC_WINDOW: i64 = 32 // rows per column (bits of rho) 48const NX_CPC_SEED_HI: i64 = 0x9747B28C 49const NX_CPC_SEED_LO: i64 = 0x36185EC0 50 51struct Cpc { 52 coupons: *HashMap, // set of distinct coupon_ids 53 lg_k: i64, 54 m: i64, // = 1 << lg_k 55 big_m: i64, // = m * NX_CPC_WINDOW (total possible coupons) 56 kappa_ppm: i64, // HIP accumulator in PPM 57 seed: i64, 58} 59 60// === bit-length helper (count leading zeros, 32-bit) ============== 61 62// Delegated to nx_bits_clz32 (intrinsic dispatch -- bsr+xor / clzw). 63// CPC's rho computation is in the hot insert path. 64func nx_cpc_clz32(x: i64) -> i64 { 65 return nx_bits_clz32(x) 66} 67 68// === construction ================================================= 69// 70// HashMap capacity should be at least 2 * expected_coupons to keep 71// load factor under 50% (linear-probe efficiency). 72 73func nx_cpc_alloc(lg_k: i64, hashmap_cap: i64, seed: i64) -> *Cpc { 74 if lg_k < NX_CPC_MIN_LG_K { return 0 as *Cpc } 75 if lg_k > NX_CPC_MAX_LG_K { return 0 as *Cpc } 76 let hmap: *HashMap = nx_hmap_alloc(hashmap_cap) 77 if hmap == (0 as *HashMap) { return 0 as *Cpc } 78 let raw: *u8 = sys_mmap(56) 79 let c: *Cpc = raw as *Cpc 80 c.coupons = hmap 81 c.lg_k = lg_k 82 c.m = 1 << lg_k 83 c.big_m = c.m * NX_CPC_WINDOW 84 c.kappa_ppm = 0 85 c.seed = seed 86 return c 87} 88 89// === coupon derivation ============================================ 90// 91// Hash key -> 64-bit value, split into (column, row). 92// column = high lg_k bits of murmur3_32 with HI seed 93// row = clz32(low 32 bits) + 1, capped at NX_CPC_WINDOW 94// coupon_id = column * window + (row - 1) 95 96func nx_cpc_coupon(c: *Cpc, key: *u8, len: i64) -> i64 { 97 let h_hi: i64 = murmur3_32(c.seed ^ NX_CPC_SEED_HI, key, len) & 0xFFFFFFFF 98 let h_lo: i64 = murmur3_32(c.seed ^ NX_CPC_SEED_LO, key, len) & 0xFFFFFFFF 99 let column: i64 = h_hi & (c.m - 1) 100 var row: i64 = nx_cpc_clz32(h_lo) + 1 101 if row > NX_CPC_WINDOW { row = NX_CPC_WINDOW } 102 return column * NX_CPC_WINDOW + (row - 1) + 1 // shift +1 to avoid hashmap sentinel 0 103} 104 105// === HIP accumulator on new coupon =============================== 106// 107// On insertion of a new (previously-unseen) coupon at distinct-count i 108// (before counting this one): 109// kappa += big_M / (big_M - i) 110// in PPM scale: kappa_ppm += big_M * 1_000_000 / (big_M - i) 111 112func nx_cpc_hip_add(c: *Cpc, n_before: i64) -> i64 { 113 let denom: i64 = c.big_m - n_before 114 if denom <= 0 { return -1 } // saturated; rare for sparse mode 115 let delta: i64 = (c.big_m * 1000000) / denom 116 c.kappa_ppm = c.kappa_ppm + delta 117 return 0 118} 119 120// === add ========================================================== 121 122func nx_cpc_add(c: *Cpc, key: *u8, len: i64) -> i64 { 123 let coupon: i64 = nx_cpc_coupon(c, key, len) 124 if nx_hmap_has(c.coupons, coupon) == 1 { return 0 } // duplicate 125 let n_before: i64 = nx_hmap_size(c.coupons) 126 let r: i64 = nx_hmap_put(c.coupons, coupon, 1) 127 if r < 0 { return r } // table full 128 nx_cpc_hip_add(c, n_before) 129 return 0 130} 131 132// === estimate ===================================================== 133// 134// HIP estimate is kappa itself (in PPM, then divided). 135 136func nx_cpc_estimate(c: *Cpc) -> i64 { 137 return c.kappa_ppm / 1000000 138} 139 140// === typed envelope =============================================== 141// 142// rel_stddev_ppb = 1 / sqrt(big_M) approximately. Tabulate by lg_k. 143 144func nx_cpc_isqrt(x: i64) -> i64 { 145 if x < 0 { return 0 } 146 if x == 0 { return 0 } 147 if x < 4 { return 1 } 148 var g: i64 = (x >> 1) + 1 149 var iter: i64 = 0 150 while iter < 64 { 151 let next_g: i64 = (g + x / g) / 2 152 if next_g >= g { iter = 64 } 153 if next_g < g { 154 g = next_g 155 iter = iter + 1 156 } 157 } 158 return g 159} 160 161func nx_cpc_stddev_rel_ppb(c: *Cpc) -> i64 { 162 let sq: i64 = nx_cpc_isqrt(c.big_m) 163 if sq == 0 { return 1000000000 } 164 return 1000000000 / sq 165} 166 167func nx_cpc_query(c: *Cpc) -> *ApproxI64 { 168 let est: i64 = nx_cpc_estimate(c) 169 return nx_approx_new(est, NX_ENV_REL_STDDEV, 170 nx_cpc_stddev_rel_ppb(c), 171 682700000, 172 NX_MATURITY_REFERENCE_IMPL, 173 NX_ADV_HONEST) 174} 175 176// === introspection ================================================ 177 178func nx_cpc_n_coupons(c: *Cpc) -> i64 { 179 return nx_hmap_size(c.coupons) 180} 181 182func nx_cpc_big_m(c: *Cpc) -> i64 { 183 return c.big_m 184} 185 186func nx_cpc_memory_bytes(c: *Cpc) -> i64 { 187 return 56 + nx_hmap_memory_bytes(c.coupons) 188}