|  | /* | 
|  | * Ceph - scalable distributed file system | 
|  | * | 
|  | * Copyright (C) 2015 Intel Corporation All Rights Reserved | 
|  | * | 
|  | * This is free software; you can redistribute it and/or | 
|  | * modify it under the terms of the GNU Lesser General Public | 
|  | * License version 2.1, as published by the Free Software | 
|  | * Foundation.  See file COPYING. | 
|  | * | 
|  | */ | 
|  |  | 
|  | #ifdef __KERNEL__ | 
|  | # include <linux/string.h> | 
|  | # include <linux/slab.h> | 
|  | # include <linux/bug.h> | 
|  | # include <linux/kernel.h> | 
|  | # include <linux/crush/crush.h> | 
|  | # include <linux/crush/hash.h> | 
|  | # include <linux/crush/mapper.h> | 
|  | #else | 
|  | # include "crush_compat.h" | 
|  | # include "crush.h" | 
|  | # include "hash.h" | 
|  | # include "mapper.h" | 
|  | #endif | 
|  | #include "crush_ln_table.h" | 
|  |  | 
|  | #define dprintk(args...) /* printf(args) */ | 
|  |  | 
|  | /* | 
|  | * Implement the core CRUSH mapping algorithm. | 
|  | */ | 
|  |  | 
|  | /** | 
|  | * crush_find_rule - find a crush_rule id for a given ruleset, type, and size. | 
|  | * @map: the crush_map | 
|  | * @ruleset: the storage ruleset id (user defined) | 
|  | * @type: storage ruleset type (user defined) | 
|  | * @size: output set size | 
|  | */ | 
|  | int crush_find_rule(const struct crush_map *map, int ruleset, int type, int size) | 
|  | { | 
|  | __u32 i; | 
|  |  | 
|  | for (i = 0; i < map->max_rules; i++) { | 
|  | if (map->rules[i] && | 
|  | map->rules[i]->mask.ruleset == ruleset && | 
|  | map->rules[i]->mask.type == type && | 
|  | map->rules[i]->mask.min_size <= size && | 
|  | map->rules[i]->mask.max_size >= size) | 
|  | return i; | 
|  | } | 
|  | return -1; | 
|  | } | 
|  |  | 
|  | /* | 
|  | * bucket choose methods | 
|  | * | 
|  | * For each bucket algorithm, we have a "choose" method that, given a | 
|  | * crush input @x and replica position (usually, position in output set) @r, | 
|  | * will produce an item in the bucket. | 
|  | */ | 
|  |  | 
|  | /* | 
|  | * Choose based on a random permutation of the bucket. | 
|  | * | 
|  | * We used to use some prime number arithmetic to do this, but it | 
|  | * wasn't very random, and had some other bad behaviors.  Instead, we | 
|  | * calculate an actual random permutation of the bucket members. | 
|  | * Since this is expensive, we optimize for the r=0 case, which | 
|  | * captures the vast majority of calls. | 
|  | */ | 
|  | static int bucket_perm_choose(const struct crush_bucket *bucket, | 
|  | struct crush_work_bucket *work, | 
|  | int x, int r) | 
|  | { | 
|  | unsigned int pr = r % bucket->size; | 
|  | unsigned int i, s; | 
|  |  | 
|  | /* start a new permutation if @x has changed */ | 
|  | if (work->perm_x != (__u32)x || work->perm_n == 0) { | 
|  | dprintk("bucket %d new x=%d\n", bucket->id, x); | 
|  | work->perm_x = x; | 
|  |  | 
|  | /* optimize common r=0 case */ | 
|  | if (pr == 0) { | 
|  | s = crush_hash32_3(bucket->hash, x, bucket->id, 0) % | 
|  | bucket->size; | 
|  | work->perm[0] = s; | 
|  | work->perm_n = 0xffff;   /* magic value, see below */ | 
|  | goto out; | 
|  | } | 
|  |  | 
|  | for (i = 0; i < bucket->size; i++) | 
|  | work->perm[i] = i; | 
|  | work->perm_n = 0; | 
|  | } else if (work->perm_n == 0xffff) { | 
|  | /* clean up after the r=0 case above */ | 
|  | for (i = 1; i < bucket->size; i++) | 
|  | work->perm[i] = i; | 
|  | work->perm[work->perm[0]] = 0; | 
|  | work->perm_n = 1; | 
|  | } | 
|  |  | 
|  | /* calculate permutation up to pr */ | 
|  | for (i = 0; i < work->perm_n; i++) | 
|  | dprintk(" perm_choose have %d: %d\n", i, work->perm[i]); | 
|  | while (work->perm_n <= pr) { | 
|  | unsigned int p = work->perm_n; | 
|  | /* no point in swapping the final entry */ | 
|  | if (p < bucket->size - 1) { | 
|  | i = crush_hash32_3(bucket->hash, x, bucket->id, p) % | 
|  | (bucket->size - p); | 
|  | if (i) { | 
|  | unsigned int t = work->perm[p + i]; | 
|  | work->perm[p + i] = work->perm[p]; | 
|  | work->perm[p] = t; | 
|  | } | 
|  | dprintk(" perm_choose swap %d with %d\n", p, p+i); | 
|  | } | 
|  | work->perm_n++; | 
|  | } | 
|  | for (i = 0; i < bucket->size; i++) | 
|  | dprintk(" perm_choose  %d: %d\n", i, work->perm[i]); | 
|  |  | 
|  | s = work->perm[pr]; | 
|  | out: | 
|  | dprintk(" perm_choose %d sz=%d x=%d r=%d (%d) s=%d\n", bucket->id, | 
|  | bucket->size, x, r, pr, s); | 
|  | return bucket->items[s]; | 
|  | } | 
|  |  | 
|  | /* uniform */ | 
|  | static int bucket_uniform_choose(const struct crush_bucket_uniform *bucket, | 
|  | struct crush_work_bucket *work, int x, int r) | 
|  | { | 
|  | return bucket_perm_choose(&bucket->h, work, x, r); | 
|  | } | 
|  |  | 
|  | /* list */ | 
|  | static int bucket_list_choose(const struct crush_bucket_list *bucket, | 
|  | int x, int r) | 
|  | { | 
|  | int i; | 
|  |  | 
|  | for (i = bucket->h.size-1; i >= 0; i--) { | 
|  | __u64 w = crush_hash32_4(bucket->h.hash, x, bucket->h.items[i], | 
|  | r, bucket->h.id); | 
|  | w &= 0xffff; | 
|  | dprintk("list_choose i=%d x=%d r=%d item %d weight %x " | 
|  | "sw %x rand %llx", | 
|  | i, x, r, bucket->h.items[i], bucket->item_weights[i], | 
|  | bucket->sum_weights[i], w); | 
|  | w *= bucket->sum_weights[i]; | 
|  | w = w >> 16; | 
|  | /*dprintk(" scaled %llx\n", w);*/ | 
|  | if (w < bucket->item_weights[i]) { | 
|  | return bucket->h.items[i]; | 
|  | } | 
|  | } | 
|  |  | 
|  | dprintk("bad list sums for bucket %d\n", bucket->h.id); | 
|  | return bucket->h.items[0]; | 
|  | } | 
|  |  | 
|  |  | 
|  | /* (binary) tree */ | 
|  | static int height(int n) | 
|  | { | 
|  | int h = 0; | 
|  | while ((n & 1) == 0) { | 
|  | h++; | 
|  | n = n >> 1; | 
|  | } | 
|  | return h; | 
|  | } | 
|  |  | 
|  | static int left(int x) | 
|  | { | 
|  | int h = height(x); | 
|  | return x - (1 << (h-1)); | 
|  | } | 
|  |  | 
|  | static int right(int x) | 
|  | { | 
|  | int h = height(x); | 
|  | return x + (1 << (h-1)); | 
|  | } | 
|  |  | 
|  | static int terminal(int x) | 
|  | { | 
|  | return x & 1; | 
|  | } | 
|  |  | 
|  | static int bucket_tree_choose(const struct crush_bucket_tree *bucket, | 
|  | int x, int r) | 
|  | { | 
|  | int n; | 
|  | __u32 w; | 
|  | __u64 t; | 
|  |  | 
|  | /* start at root */ | 
|  | n = bucket->num_nodes >> 1; | 
|  |  | 
|  | while (!terminal(n)) { | 
|  | int l; | 
|  | /* pick point in [0, w) */ | 
|  | w = bucket->node_weights[n]; | 
|  | t = (__u64)crush_hash32_4(bucket->h.hash, x, n, r, | 
|  | bucket->h.id) * (__u64)w; | 
|  | t = t >> 32; | 
|  |  | 
|  | /* descend to the left or right? */ | 
|  | l = left(n); | 
|  | if (t < bucket->node_weights[l]) | 
|  | n = l; | 
|  | else | 
|  | n = right(n); | 
|  | } | 
|  |  | 
|  | return bucket->h.items[n >> 1]; | 
|  | } | 
|  |  | 
|  |  | 
|  | /* straw */ | 
|  |  | 
|  | static int bucket_straw_choose(const struct crush_bucket_straw *bucket, | 
|  | int x, int r) | 
|  | { | 
|  | __u32 i; | 
|  | int high = 0; | 
|  | __u64 high_draw = 0; | 
|  | __u64 draw; | 
|  |  | 
|  | for (i = 0; i < bucket->h.size; i++) { | 
|  | draw = crush_hash32_3(bucket->h.hash, x, bucket->h.items[i], r); | 
|  | draw &= 0xffff; | 
|  | draw *= bucket->straws[i]; | 
|  | if (i == 0 || draw > high_draw) { | 
|  | high = i; | 
|  | high_draw = draw; | 
|  | } | 
|  | } | 
|  | return bucket->h.items[high]; | 
|  | } | 
|  |  | 
|  | /* compute 2^44*log2(input+1) */ | 
|  | static __u64 crush_ln(unsigned int xin) | 
|  | { | 
|  | unsigned int x = xin; | 
|  | int iexpon, index1, index2; | 
|  | __u64 RH, LH, LL, xl64, result; | 
|  |  | 
|  | x++; | 
|  |  | 
|  | /* normalize input */ | 
|  | iexpon = 15; | 
|  |  | 
|  | /* | 
|  | * figure out number of bits we need to shift and | 
|  | * do it in one step instead of iteratively | 
|  | */ | 
|  | if (!(x & 0x18000)) { | 
|  | int bits = __builtin_clz(x & 0x1FFFF) - 16; | 
|  | x <<= bits; | 
|  | iexpon = 15 - bits; | 
|  | } | 
|  |  | 
|  | index1 = (x >> 8) << 1; | 
|  | /* RH ~ 2^56/index1 */ | 
|  | RH = __RH_LH_tbl[index1 - 256]; | 
|  | /* LH ~ 2^48 * log2(index1/256) */ | 
|  | LH = __RH_LH_tbl[index1 + 1 - 256]; | 
|  |  | 
|  | /* RH*x ~ 2^48 * (2^15 + xf), xf<2^8 */ | 
|  | xl64 = (__s64)x * RH; | 
|  | xl64 >>= 48; | 
|  |  | 
|  | result = iexpon; | 
|  | result <<= (12 + 32); | 
|  |  | 
|  | index2 = xl64 & 0xff; | 
|  | /* LL ~ 2^48*log2(1.0+index2/2^15) */ | 
|  | LL = __LL_tbl[index2]; | 
|  |  | 
|  | LH = LH + LL; | 
|  |  | 
|  | LH >>= (48 - 12 - 32); | 
|  | result += LH; | 
|  |  | 
|  | return result; | 
|  | } | 
|  |  | 
|  |  | 
|  | /* | 
|  | * straw2 | 
|  | * | 
|  | * for reference, see: | 
|  | * | 
|  | * https://en.wikipedia.org/wiki/Exponential_distribution#Distribution_of_the_minimum_of_exponential_random_variables | 
|  | * | 
|  | */ | 
|  |  | 
|  | static __u32 *get_choose_arg_weights(const struct crush_bucket_straw2 *bucket, | 
|  | const struct crush_choose_arg *arg, | 
|  | int position) | 
|  | { | 
|  | if (!arg || !arg->weight_set) | 
|  | return bucket->item_weights; | 
|  |  | 
|  | if (position >= arg->weight_set_size) | 
|  | position = arg->weight_set_size - 1; | 
|  | return arg->weight_set[position].weights; | 
|  | } | 
|  |  | 
|  | static __s32 *get_choose_arg_ids(const struct crush_bucket_straw2 *bucket, | 
|  | const struct crush_choose_arg *arg) | 
|  | { | 
|  | if (!arg || !arg->ids) | 
|  | return bucket->h.items; | 
|  |  | 
|  | return arg->ids; | 
|  | } | 
|  |  | 
|  | static int bucket_straw2_choose(const struct crush_bucket_straw2 *bucket, | 
|  | int x, int r, | 
|  | const struct crush_choose_arg *arg, | 
|  | int position) | 
|  | { | 
|  | unsigned int i, high = 0; | 
|  | unsigned int u; | 
|  | __s64 ln, draw, high_draw = 0; | 
|  | __u32 *weights = get_choose_arg_weights(bucket, arg, position); | 
|  | __s32 *ids = get_choose_arg_ids(bucket, arg); | 
|  |  | 
|  | for (i = 0; i < bucket->h.size; i++) { | 
|  | dprintk("weight 0x%x item %d\n", weights[i], ids[i]); | 
|  | if (weights[i]) { | 
|  | u = crush_hash32_3(bucket->h.hash, x, ids[i], r); | 
|  | u &= 0xffff; | 
|  |  | 
|  | /* | 
|  | * for some reason slightly less than 0x10000 produces | 
|  | * a slightly more accurate distribution... probably a | 
|  | * rounding effect. | 
|  | * | 
|  | * the natural log lookup table maps [0,0xffff] | 
|  | * (corresponding to real numbers [1/0x10000, 1] to | 
|  | * [0, 0xffffffffffff] (corresponding to real numbers | 
|  | * [-11.090355,0]). | 
|  | */ | 
|  | ln = crush_ln(u) - 0x1000000000000ll; | 
|  |  | 
|  | /* | 
|  | * divide by 16.16 fixed-point weight.  note | 
|  | * that the ln value is negative, so a larger | 
|  | * weight means a larger (less negative) value | 
|  | * for draw. | 
|  | */ | 
|  | draw = div64_s64(ln, weights[i]); | 
|  | } else { | 
|  | draw = S64_MIN; | 
|  | } | 
|  |  | 
|  | if (i == 0 || draw > high_draw) { | 
|  | high = i; | 
|  | high_draw = draw; | 
|  | } | 
|  | } | 
|  |  | 
|  | return bucket->h.items[high]; | 
|  | } | 
|  |  | 
|  |  | 
|  | static int crush_bucket_choose(const struct crush_bucket *in, | 
|  | struct crush_work_bucket *work, | 
|  | int x, int r, | 
|  | const struct crush_choose_arg *arg, | 
|  | int position) | 
|  | { | 
|  | dprintk(" crush_bucket_choose %d x=%d r=%d\n", in->id, x, r); | 
|  | BUG_ON(in->size == 0); | 
|  | switch (in->alg) { | 
|  | case CRUSH_BUCKET_UNIFORM: | 
|  | return bucket_uniform_choose( | 
|  | (const struct crush_bucket_uniform *)in, | 
|  | work, x, r); | 
|  | case CRUSH_BUCKET_LIST: | 
|  | return bucket_list_choose((const struct crush_bucket_list *)in, | 
|  | x, r); | 
|  | case CRUSH_BUCKET_TREE: | 
|  | return bucket_tree_choose((const struct crush_bucket_tree *)in, | 
|  | x, r); | 
|  | case CRUSH_BUCKET_STRAW: | 
|  | return bucket_straw_choose( | 
|  | (const struct crush_bucket_straw *)in, | 
|  | x, r); | 
|  | case CRUSH_BUCKET_STRAW2: | 
|  | return bucket_straw2_choose( | 
|  | (const struct crush_bucket_straw2 *)in, | 
|  | x, r, arg, position); | 
|  | default: | 
|  | dprintk("unknown bucket %d alg %d\n", in->id, in->alg); | 
|  | return in->items[0]; | 
|  | } | 
|  | } | 
|  |  | 
|  | /* | 
|  | * true if device is marked "out" (failed, fully offloaded) | 
|  | * of the cluster | 
|  | */ | 
|  | static int is_out(const struct crush_map *map, | 
|  | const __u32 *weight, int weight_max, | 
|  | int item, int x) | 
|  | { | 
|  | if (item >= weight_max) | 
|  | return 1; | 
|  | if (weight[item] >= 0x10000) | 
|  | return 0; | 
|  | if (weight[item] == 0) | 
|  | return 1; | 
|  | if ((crush_hash32_2(CRUSH_HASH_RJENKINS1, x, item) & 0xffff) | 
|  | < weight[item]) | 
|  | return 0; | 
|  | return 1; | 
|  | } | 
|  |  | 
|  | /** | 
|  | * crush_choose_firstn - choose numrep distinct items of given type | 
|  | * @map: the crush_map | 
|  | * @bucket: the bucket we are choose an item from | 
|  | * @x: crush input value | 
|  | * @numrep: the number of items to choose | 
|  | * @type: the type of item to choose | 
|  | * @out: pointer to output vector | 
|  | * @outpos: our position in that vector | 
|  | * @out_size: size of the out vector | 
|  | * @tries: number of attempts to make | 
|  | * @recurse_tries: number of attempts to have recursive chooseleaf make | 
|  | * @local_retries: localized retries | 
|  | * @local_fallback_retries: localized fallback retries | 
|  | * @recurse_to_leaf: true if we want one device under each item of given type (chooseleaf instead of choose) | 
|  | * @stable: stable mode starts rep=0 in the recursive call for all replicas | 
|  | * @vary_r: pass r to recursive calls | 
|  | * @out2: second output vector for leaf items (if @recurse_to_leaf) | 
|  | * @parent_r: r value passed from the parent | 
|  | */ | 
|  | static int crush_choose_firstn(const struct crush_map *map, | 
|  | struct crush_work *work, | 
|  | const struct crush_bucket *bucket, | 
|  | const __u32 *weight, int weight_max, | 
|  | int x, int numrep, int type, | 
|  | int *out, int outpos, | 
|  | int out_size, | 
|  | unsigned int tries, | 
|  | unsigned int recurse_tries, | 
|  | unsigned int local_retries, | 
|  | unsigned int local_fallback_retries, | 
|  | int recurse_to_leaf, | 
|  | unsigned int vary_r, | 
|  | unsigned int stable, | 
|  | int *out2, | 
|  | int parent_r, | 
|  | const struct crush_choose_arg *choose_args) | 
|  | { | 
|  | int rep; | 
|  | unsigned int ftotal, flocal; | 
|  | int retry_descent, retry_bucket, skip_rep; | 
|  | const struct crush_bucket *in = bucket; | 
|  | int r; | 
|  | int i; | 
|  | int item = 0; | 
|  | int itemtype; | 
|  | int collide, reject; | 
|  | int count = out_size; | 
|  |  | 
|  | dprintk("CHOOSE%s bucket %d x %d outpos %d numrep %d tries %d recurse_tries %d local_retries %d local_fallback_retries %d parent_r %d stable %d\n", | 
|  | recurse_to_leaf ? "_LEAF" : "", | 
|  | bucket->id, x, outpos, numrep, | 
|  | tries, recurse_tries, local_retries, local_fallback_retries, | 
|  | parent_r, stable); | 
|  |  | 
|  | for (rep = stable ? 0 : outpos; rep < numrep && count > 0 ; rep++) { | 
|  | /* keep trying until we get a non-out, non-colliding item */ | 
|  | ftotal = 0; | 
|  | skip_rep = 0; | 
|  | do { | 
|  | retry_descent = 0; | 
|  | in = bucket;               /* initial bucket */ | 
|  |  | 
|  | /* choose through intervening buckets */ | 
|  | flocal = 0; | 
|  | do { | 
|  | collide = 0; | 
|  | retry_bucket = 0; | 
|  | r = rep + parent_r; | 
|  | /* r' = r + f_total */ | 
|  | r += ftotal; | 
|  |  | 
|  | /* bucket choose */ | 
|  | if (in->size == 0) { | 
|  | reject = 1; | 
|  | goto reject; | 
|  | } | 
|  | if (local_fallback_retries > 0 && | 
|  | flocal >= (in->size>>1) && | 
|  | flocal > local_fallback_retries) | 
|  | item = bucket_perm_choose( | 
|  | in, work->work[-1-in->id], | 
|  | x, r); | 
|  | else | 
|  | item = crush_bucket_choose( | 
|  | in, work->work[-1-in->id], | 
|  | x, r, | 
|  | (choose_args ? | 
|  | &choose_args[-1-in->id] : NULL), | 
|  | outpos); | 
|  | if (item >= map->max_devices) { | 
|  | dprintk("   bad item %d\n", item); | 
|  | skip_rep = 1; | 
|  | break; | 
|  | } | 
|  |  | 
|  | /* desired type? */ | 
|  | if (item < 0) | 
|  | itemtype = map->buckets[-1-item]->type; | 
|  | else | 
|  | itemtype = 0; | 
|  | dprintk("  item %d type %d\n", item, itemtype); | 
|  |  | 
|  | /* keep going? */ | 
|  | if (itemtype != type) { | 
|  | if (item >= 0 || | 
|  | (-1-item) >= map->max_buckets) { | 
|  | dprintk("   bad item type %d\n", type); | 
|  | skip_rep = 1; | 
|  | break; | 
|  | } | 
|  | in = map->buckets[-1-item]; | 
|  | retry_bucket = 1; | 
|  | continue; | 
|  | } | 
|  |  | 
|  | /* collision? */ | 
|  | for (i = 0; i < outpos; i++) { | 
|  | if (out[i] == item) { | 
|  | collide = 1; | 
|  | break; | 
|  | } | 
|  | } | 
|  |  | 
|  | reject = 0; | 
|  | if (!collide && recurse_to_leaf) { | 
|  | if (item < 0) { | 
|  | int sub_r; | 
|  | if (vary_r) | 
|  | sub_r = r >> (vary_r-1); | 
|  | else | 
|  | sub_r = 0; | 
|  | if (crush_choose_firstn( | 
|  | map, | 
|  | work, | 
|  | map->buckets[-1-item], | 
|  | weight, weight_max, | 
|  | x, stable ? 1 : outpos+1, 0, | 
|  | out2, outpos, count, | 
|  | recurse_tries, 0, | 
|  | local_retries, | 
|  | local_fallback_retries, | 
|  | 0, | 
|  | vary_r, | 
|  | stable, | 
|  | NULL, | 
|  | sub_r, | 
|  | choose_args) <= outpos) | 
|  | /* didn't get leaf */ | 
|  | reject = 1; | 
|  | } else { | 
|  | /* we already have a leaf! */ | 
|  | out2[outpos] = item; | 
|  | } | 
|  | } | 
|  |  | 
|  | if (!reject && !collide) { | 
|  | /* out? */ | 
|  | if (itemtype == 0) | 
|  | reject = is_out(map, weight, | 
|  | weight_max, | 
|  | item, x); | 
|  | } | 
|  |  | 
|  | reject: | 
|  | if (reject || collide) { | 
|  | ftotal++; | 
|  | flocal++; | 
|  |  | 
|  | if (collide && flocal <= local_retries) | 
|  | /* retry locally a few times */ | 
|  | retry_bucket = 1; | 
|  | else if (local_fallback_retries > 0 && | 
|  | flocal <= in->size + local_fallback_retries) | 
|  | /* exhaustive bucket search */ | 
|  | retry_bucket = 1; | 
|  | else if (ftotal < tries) | 
|  | /* then retry descent */ | 
|  | retry_descent = 1; | 
|  | else | 
|  | /* else give up */ | 
|  | skip_rep = 1; | 
|  | dprintk("  reject %d  collide %d  " | 
|  | "ftotal %u  flocal %u\n", | 
|  | reject, collide, ftotal, | 
|  | flocal); | 
|  | } | 
|  | } while (retry_bucket); | 
|  | } while (retry_descent); | 
|  |  | 
|  | if (skip_rep) { | 
|  | dprintk("skip rep\n"); | 
|  | continue; | 
|  | } | 
|  |  | 
|  | dprintk("CHOOSE got %d\n", item); | 
|  | out[outpos] = item; | 
|  | outpos++; | 
|  | count--; | 
|  | #ifndef __KERNEL__ | 
|  | if (map->choose_tries && ftotal <= map->choose_total_tries) | 
|  | map->choose_tries[ftotal]++; | 
|  | #endif | 
|  | } | 
|  |  | 
|  | dprintk("CHOOSE returns %d\n", outpos); | 
|  | return outpos; | 
|  | } | 
|  |  | 
|  |  | 
|  | /** | 
|  | * crush_choose_indep: alternative breadth-first positionally stable mapping | 
|  | * | 
|  | */ | 
|  | static void crush_choose_indep(const struct crush_map *map, | 
|  | struct crush_work *work, | 
|  | const struct crush_bucket *bucket, | 
|  | const __u32 *weight, int weight_max, | 
|  | int x, int left, int numrep, int type, | 
|  | int *out, int outpos, | 
|  | unsigned int tries, | 
|  | unsigned int recurse_tries, | 
|  | int recurse_to_leaf, | 
|  | int *out2, | 
|  | int parent_r, | 
|  | const struct crush_choose_arg *choose_args) | 
|  | { | 
|  | const struct crush_bucket *in = bucket; | 
|  | int endpos = outpos + left; | 
|  | int rep; | 
|  | unsigned int ftotal; | 
|  | int r; | 
|  | int i; | 
|  | int item = 0; | 
|  | int itemtype; | 
|  | int collide; | 
|  |  | 
|  | dprintk("CHOOSE%s INDEP bucket %d x %d outpos %d numrep %d\n", recurse_to_leaf ? "_LEAF" : "", | 
|  | bucket->id, x, outpos, numrep); | 
|  |  | 
|  | /* initially my result is undefined */ | 
|  | for (rep = outpos; rep < endpos; rep++) { | 
|  | out[rep] = CRUSH_ITEM_UNDEF; | 
|  | if (out2) | 
|  | out2[rep] = CRUSH_ITEM_UNDEF; | 
|  | } | 
|  |  | 
|  | for (ftotal = 0; left > 0 && ftotal < tries; ftotal++) { | 
|  | #ifdef DEBUG_INDEP | 
|  | if (out2 && ftotal) { | 
|  | dprintk("%u %d a: ", ftotal, left); | 
|  | for (rep = outpos; rep < endpos; rep++) { | 
|  | dprintk(" %d", out[rep]); | 
|  | } | 
|  | dprintk("\n"); | 
|  | dprintk("%u %d b: ", ftotal, left); | 
|  | for (rep = outpos; rep < endpos; rep++) { | 
|  | dprintk(" %d", out2[rep]); | 
|  | } | 
|  | dprintk("\n"); | 
|  | } | 
|  | #endif | 
|  | for (rep = outpos; rep < endpos; rep++) { | 
|  | if (out[rep] != CRUSH_ITEM_UNDEF) | 
|  | continue; | 
|  |  | 
|  | in = bucket;  /* initial bucket */ | 
|  |  | 
|  | /* choose through intervening buckets */ | 
|  | for (;;) { | 
|  | /* note: we base the choice on the position | 
|  | * even in the nested call.  that means that | 
|  | * if the first layer chooses the same bucket | 
|  | * in a different position, we will tend to | 
|  | * choose a different item in that bucket. | 
|  | * this will involve more devices in data | 
|  | * movement and tend to distribute the load. | 
|  | */ | 
|  | r = rep + parent_r; | 
|  |  | 
|  | /* be careful */ | 
|  | if (in->alg == CRUSH_BUCKET_UNIFORM && | 
|  | in->size % numrep == 0) | 
|  | /* r'=r+(n+1)*f_total */ | 
|  | r += (numrep+1) * ftotal; | 
|  | else | 
|  | /* r' = r + n*f_total */ | 
|  | r += numrep * ftotal; | 
|  |  | 
|  | /* bucket choose */ | 
|  | if (in->size == 0) { | 
|  | dprintk("   empty bucket\n"); | 
|  | break; | 
|  | } | 
|  |  | 
|  | item = crush_bucket_choose( | 
|  | in, work->work[-1-in->id], | 
|  | x, r, | 
|  | (choose_args ? | 
|  | &choose_args[-1-in->id] : NULL), | 
|  | outpos); | 
|  | if (item >= map->max_devices) { | 
|  | dprintk("   bad item %d\n", item); | 
|  | out[rep] = CRUSH_ITEM_NONE; | 
|  | if (out2) | 
|  | out2[rep] = CRUSH_ITEM_NONE; | 
|  | left--; | 
|  | break; | 
|  | } | 
|  |  | 
|  | /* desired type? */ | 
|  | if (item < 0) | 
|  | itemtype = map->buckets[-1-item]->type; | 
|  | else | 
|  | itemtype = 0; | 
|  | dprintk("  item %d type %d\n", item, itemtype); | 
|  |  | 
|  | /* keep going? */ | 
|  | if (itemtype != type) { | 
|  | if (item >= 0 || | 
|  | (-1-item) >= map->max_buckets) { | 
|  | dprintk("   bad item type %d\n", type); | 
|  | out[rep] = CRUSH_ITEM_NONE; | 
|  | if (out2) | 
|  | out2[rep] = | 
|  | CRUSH_ITEM_NONE; | 
|  | left--; | 
|  | break; | 
|  | } | 
|  | in = map->buckets[-1-item]; | 
|  | continue; | 
|  | } | 
|  |  | 
|  | /* collision? */ | 
|  | collide = 0; | 
|  | for (i = outpos; i < endpos; i++) { | 
|  | if (out[i] == item) { | 
|  | collide = 1; | 
|  | break; | 
|  | } | 
|  | } | 
|  | if (collide) | 
|  | break; | 
|  |  | 
|  | if (recurse_to_leaf) { | 
|  | if (item < 0) { | 
|  | crush_choose_indep( | 
|  | map, | 
|  | work, | 
|  | map->buckets[-1-item], | 
|  | weight, weight_max, | 
|  | x, 1, numrep, 0, | 
|  | out2, rep, | 
|  | recurse_tries, 0, | 
|  | 0, NULL, r, | 
|  | choose_args); | 
|  | if (out2[rep] == CRUSH_ITEM_NONE) { | 
|  | /* placed nothing; no leaf */ | 
|  | break; | 
|  | } | 
|  | } else { | 
|  | /* we already have a leaf! */ | 
|  | out2[rep] = item; | 
|  | } | 
|  | } | 
|  |  | 
|  | /* out? */ | 
|  | if (itemtype == 0 && | 
|  | is_out(map, weight, weight_max, item, x)) | 
|  | break; | 
|  |  | 
|  | /* yay! */ | 
|  | out[rep] = item; | 
|  | left--; | 
|  | break; | 
|  | } | 
|  | } | 
|  | } | 
|  | for (rep = outpos; rep < endpos; rep++) { | 
|  | if (out[rep] == CRUSH_ITEM_UNDEF) { | 
|  | out[rep] = CRUSH_ITEM_NONE; | 
|  | } | 
|  | if (out2 && out2[rep] == CRUSH_ITEM_UNDEF) { | 
|  | out2[rep] = CRUSH_ITEM_NONE; | 
|  | } | 
|  | } | 
|  | #ifndef __KERNEL__ | 
|  | if (map->choose_tries && ftotal <= map->choose_total_tries) | 
|  | map->choose_tries[ftotal]++; | 
|  | #endif | 
|  | #ifdef DEBUG_INDEP | 
|  | if (out2) { | 
|  | dprintk("%u %d a: ", ftotal, left); | 
|  | for (rep = outpos; rep < endpos; rep++) { | 
|  | dprintk(" %d", out[rep]); | 
|  | } | 
|  | dprintk("\n"); | 
|  | dprintk("%u %d b: ", ftotal, left); | 
|  | for (rep = outpos; rep < endpos; rep++) { | 
|  | dprintk(" %d", out2[rep]); | 
|  | } | 
|  | dprintk("\n"); | 
|  | } | 
|  | #endif | 
|  | } | 
|  |  | 
|  |  | 
|  | /* | 
|  | * This takes a chunk of memory and sets it up to be a shiny new | 
|  | * working area for a CRUSH placement computation. It must be called | 
|  | * on any newly allocated memory before passing it in to | 
|  | * crush_do_rule. It may be used repeatedly after that, so long as the | 
|  | * map has not changed. If the map /has/ changed, you must make sure | 
|  | * the working size is no smaller than what was allocated and re-run | 
|  | * crush_init_workspace. | 
|  | * | 
|  | * If you do retain the working space between calls to crush, make it | 
|  | * thread-local. | 
|  | */ | 
|  | void crush_init_workspace(const struct crush_map *map, void *v) | 
|  | { | 
|  | struct crush_work *w = v; | 
|  | __s32 b; | 
|  |  | 
|  | /* | 
|  | * We work by moving through the available space and setting | 
|  | * values and pointers as we go. | 
|  | * | 
|  | * It's a bit like Forth's use of the 'allot' word since we | 
|  | * set the pointer first and then reserve the space for it to | 
|  | * point to by incrementing the point. | 
|  | */ | 
|  | v += sizeof(struct crush_work); | 
|  | w->work = v; | 
|  | v += map->max_buckets * sizeof(struct crush_work_bucket *); | 
|  | for (b = 0; b < map->max_buckets; ++b) { | 
|  | if (!map->buckets[b]) | 
|  | continue; | 
|  |  | 
|  | w->work[b] = v; | 
|  | switch (map->buckets[b]->alg) { | 
|  | default: | 
|  | v += sizeof(struct crush_work_bucket); | 
|  | break; | 
|  | } | 
|  | w->work[b]->perm_x = 0; | 
|  | w->work[b]->perm_n = 0; | 
|  | w->work[b]->perm = v; | 
|  | v += map->buckets[b]->size * sizeof(__u32); | 
|  | } | 
|  | BUG_ON(v - (void *)w != map->working_size); | 
|  | } | 
|  |  | 
|  | /** | 
|  | * crush_do_rule - calculate a mapping with the given input and rule | 
|  | * @map: the crush_map | 
|  | * @ruleno: the rule id | 
|  | * @x: hash input | 
|  | * @result: pointer to result vector | 
|  | * @result_max: maximum result size | 
|  | * @weight: weight vector (for map leaves) | 
|  | * @weight_max: size of weight vector | 
|  | * @cwin: pointer to at least crush_work_size() bytes of memory | 
|  | * @choose_args: weights and ids for each known bucket | 
|  | */ | 
|  | int crush_do_rule(const struct crush_map *map, | 
|  | int ruleno, int x, int *result, int result_max, | 
|  | const __u32 *weight, int weight_max, | 
|  | void *cwin, const struct crush_choose_arg *choose_args) | 
|  | { | 
|  | int result_len; | 
|  | struct crush_work *cw = cwin; | 
|  | int *a = cwin + map->working_size; | 
|  | int *b = a + result_max; | 
|  | int *c = b + result_max; | 
|  | int *w = a; | 
|  | int *o = b; | 
|  | int recurse_to_leaf; | 
|  | int wsize = 0; | 
|  | int osize; | 
|  | int *tmp; | 
|  | const struct crush_rule *rule; | 
|  | __u32 step; | 
|  | int i, j; | 
|  | int numrep; | 
|  | int out_size; | 
|  | /* | 
|  | * the original choose_total_tries value was off by one (it | 
|  | * counted "retries" and not "tries").  add one. | 
|  | */ | 
|  | int choose_tries = map->choose_total_tries + 1; | 
|  | int choose_leaf_tries = 0; | 
|  | /* | 
|  | * the local tries values were counted as "retries", though, | 
|  | * and need no adjustment | 
|  | */ | 
|  | int choose_local_retries = map->choose_local_tries; | 
|  | int choose_local_fallback_retries = map->choose_local_fallback_tries; | 
|  |  | 
|  | int vary_r = map->chooseleaf_vary_r; | 
|  | int stable = map->chooseleaf_stable; | 
|  |  | 
|  | if ((__u32)ruleno >= map->max_rules) { | 
|  | dprintk(" bad ruleno %d\n", ruleno); | 
|  | return 0; | 
|  | } | 
|  |  | 
|  | rule = map->rules[ruleno]; | 
|  | result_len = 0; | 
|  |  | 
|  | for (step = 0; step < rule->len; step++) { | 
|  | int firstn = 0; | 
|  | const struct crush_rule_step *curstep = &rule->steps[step]; | 
|  |  | 
|  | switch (curstep->op) { | 
|  | case CRUSH_RULE_TAKE: | 
|  | if ((curstep->arg1 >= 0 && | 
|  | curstep->arg1 < map->max_devices) || | 
|  | (-1-curstep->arg1 >= 0 && | 
|  | -1-curstep->arg1 < map->max_buckets && | 
|  | map->buckets[-1-curstep->arg1])) { | 
|  | w[0] = curstep->arg1; | 
|  | wsize = 1; | 
|  | } else { | 
|  | dprintk(" bad take value %d\n", curstep->arg1); | 
|  | } | 
|  | break; | 
|  |  | 
|  | case CRUSH_RULE_SET_CHOOSE_TRIES: | 
|  | if (curstep->arg1 > 0) | 
|  | choose_tries = curstep->arg1; | 
|  | break; | 
|  |  | 
|  | case CRUSH_RULE_SET_CHOOSELEAF_TRIES: | 
|  | if (curstep->arg1 > 0) | 
|  | choose_leaf_tries = curstep->arg1; | 
|  | break; | 
|  |  | 
|  | case CRUSH_RULE_SET_CHOOSE_LOCAL_TRIES: | 
|  | if (curstep->arg1 >= 0) | 
|  | choose_local_retries = curstep->arg1; | 
|  | break; | 
|  |  | 
|  | case CRUSH_RULE_SET_CHOOSE_LOCAL_FALLBACK_TRIES: | 
|  | if (curstep->arg1 >= 0) | 
|  | choose_local_fallback_retries = curstep->arg1; | 
|  | break; | 
|  |  | 
|  | case CRUSH_RULE_SET_CHOOSELEAF_VARY_R: | 
|  | if (curstep->arg1 >= 0) | 
|  | vary_r = curstep->arg1; | 
|  | break; | 
|  |  | 
|  | case CRUSH_RULE_SET_CHOOSELEAF_STABLE: | 
|  | if (curstep->arg1 >= 0) | 
|  | stable = curstep->arg1; | 
|  | break; | 
|  |  | 
|  | case CRUSH_RULE_CHOOSELEAF_FIRSTN: | 
|  | case CRUSH_RULE_CHOOSE_FIRSTN: | 
|  | firstn = 1; | 
|  | fallthrough; | 
|  | case CRUSH_RULE_CHOOSELEAF_INDEP: | 
|  | case CRUSH_RULE_CHOOSE_INDEP: | 
|  | if (wsize == 0) | 
|  | break; | 
|  |  | 
|  | recurse_to_leaf = | 
|  | curstep->op == | 
|  | CRUSH_RULE_CHOOSELEAF_FIRSTN || | 
|  | curstep->op == | 
|  | CRUSH_RULE_CHOOSELEAF_INDEP; | 
|  |  | 
|  | /* reset output */ | 
|  | osize = 0; | 
|  |  | 
|  | for (i = 0; i < wsize; i++) { | 
|  | int bno; | 
|  | numrep = curstep->arg1; | 
|  | if (numrep <= 0) { | 
|  | numrep += result_max; | 
|  | if (numrep <= 0) | 
|  | continue; | 
|  | } | 
|  | j = 0; | 
|  | /* make sure bucket id is valid */ | 
|  | bno = -1 - w[i]; | 
|  | if (bno < 0 || bno >= map->max_buckets) { | 
|  | /* w[i] is probably CRUSH_ITEM_NONE */ | 
|  | dprintk("  bad w[i] %d\n", w[i]); | 
|  | continue; | 
|  | } | 
|  | if (firstn) { | 
|  | int recurse_tries; | 
|  | if (choose_leaf_tries) | 
|  | recurse_tries = | 
|  | choose_leaf_tries; | 
|  | else if (map->chooseleaf_descend_once) | 
|  | recurse_tries = 1; | 
|  | else | 
|  | recurse_tries = choose_tries; | 
|  | osize += crush_choose_firstn( | 
|  | map, | 
|  | cw, | 
|  | map->buckets[bno], | 
|  | weight, weight_max, | 
|  | x, numrep, | 
|  | curstep->arg2, | 
|  | o+osize, j, | 
|  | result_max-osize, | 
|  | choose_tries, | 
|  | recurse_tries, | 
|  | choose_local_retries, | 
|  | choose_local_fallback_retries, | 
|  | recurse_to_leaf, | 
|  | vary_r, | 
|  | stable, | 
|  | c+osize, | 
|  | 0, | 
|  | choose_args); | 
|  | } else { | 
|  | out_size = ((numrep < (result_max-osize)) ? | 
|  | numrep : (result_max-osize)); | 
|  | crush_choose_indep( | 
|  | map, | 
|  | cw, | 
|  | map->buckets[bno], | 
|  | weight, weight_max, | 
|  | x, out_size, numrep, | 
|  | curstep->arg2, | 
|  | o+osize, j, | 
|  | choose_tries, | 
|  | choose_leaf_tries ? | 
|  | choose_leaf_tries : 1, | 
|  | recurse_to_leaf, | 
|  | c+osize, | 
|  | 0, | 
|  | choose_args); | 
|  | osize += out_size; | 
|  | } | 
|  | } | 
|  |  | 
|  | if (recurse_to_leaf) | 
|  | /* copy final _leaf_ values to output set */ | 
|  | memcpy(o, c, osize*sizeof(*o)); | 
|  |  | 
|  | /* swap o and w arrays */ | 
|  | tmp = o; | 
|  | o = w; | 
|  | w = tmp; | 
|  | wsize = osize; | 
|  | break; | 
|  |  | 
|  |  | 
|  | case CRUSH_RULE_EMIT: | 
|  | for (i = 0; i < wsize && result_len < result_max; i++) { | 
|  | result[result_len] = w[i]; | 
|  | result_len++; | 
|  | } | 
|  | wsize = 0; | 
|  | break; | 
|  |  | 
|  | default: | 
|  | dprintk(" unknown op %d at step %d\n", | 
|  | curstep->op, step); | 
|  | break; | 
|  | } | 
|  | } | 
|  |  | 
|  | return result_len; | 
|  | } |