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torvalds
GitHub Repository: torvalds/linux
Path: blob/master/net/ceph/crush/mapper.c
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1
/*
2
* Ceph - scalable distributed file system
3
*
4
* Copyright (C) 2015 Intel Corporation All Rights Reserved
5
*
6
* This is free software; you can redistribute it and/or
7
* modify it under the terms of the GNU Lesser General Public
8
* License version 2.1, as published by the Free Software
9
* Foundation. See file COPYING.
10
*
11
*/
12
13
#ifdef __KERNEL__
14
# include <linux/string.h>
15
# include <linux/slab.h>
16
# include <linux/bug.h>
17
# include <linux/kernel.h>
18
# include <linux/crush/crush.h>
19
# include <linux/crush/hash.h>
20
# include <linux/crush/mapper.h>
21
#else
22
# include "crush_compat.h"
23
# include "crush.h"
24
# include "hash.h"
25
# include "mapper.h"
26
#endif
27
#include "crush_ln_table.h"
28
29
#define dprintk(args...) /* printf(args) */
30
31
/*
32
* Implement the core CRUSH mapping algorithm.
33
*/
34
35
/**
36
* crush_find_rule - find a crush_rule id for a given ruleset, type, and size.
37
* @map: the crush_map
38
* @ruleset: the storage ruleset id (user defined)
39
* @type: storage ruleset type (user defined)
40
* @size: output set size
41
*/
42
int crush_find_rule(const struct crush_map *map, int ruleset, int type, int size)
43
{
44
__u32 i;
45
46
for (i = 0; i < map->max_rules; i++) {
47
if (map->rules[i] &&
48
map->rules[i]->mask.ruleset == ruleset &&
49
map->rules[i]->mask.type == type &&
50
map->rules[i]->mask.min_size <= size &&
51
map->rules[i]->mask.max_size >= size)
52
return i;
53
}
54
return -1;
55
}
56
57
/*
58
* bucket choose methods
59
*
60
* For each bucket algorithm, we have a "choose" method that, given a
61
* crush input @x and replica position (usually, position in output set) @r,
62
* will produce an item in the bucket.
63
*/
64
65
/*
66
* Choose based on a random permutation of the bucket.
67
*
68
* We used to use some prime number arithmetic to do this, but it
69
* wasn't very random, and had some other bad behaviors. Instead, we
70
* calculate an actual random permutation of the bucket members.
71
* Since this is expensive, we optimize for the r=0 case, which
72
* captures the vast majority of calls.
73
*/
74
static int bucket_perm_choose(const struct crush_bucket *bucket,
75
struct crush_work_bucket *work,
76
int x, int r)
77
{
78
unsigned int pr = r % bucket->size;
79
unsigned int i, s;
80
81
/* start a new permutation if @x has changed */
82
if (work->perm_x != (__u32)x || work->perm_n == 0) {
83
dprintk("bucket %d new x=%d\n", bucket->id, x);
84
work->perm_x = x;
85
86
/* optimize common r=0 case */
87
if (pr == 0) {
88
s = crush_hash32_3(bucket->hash, x, bucket->id, 0) %
89
bucket->size;
90
work->perm[0] = s;
91
work->perm_n = 0xffff; /* magic value, see below */
92
goto out;
93
}
94
95
for (i = 0; i < bucket->size; i++)
96
work->perm[i] = i;
97
work->perm_n = 0;
98
} else if (work->perm_n == 0xffff) {
99
/* clean up after the r=0 case above */
100
for (i = 1; i < bucket->size; i++)
101
work->perm[i] = i;
102
work->perm[work->perm[0]] = 0;
103
work->perm_n = 1;
104
}
105
106
/* calculate permutation up to pr */
107
for (i = 0; i < work->perm_n; i++)
108
dprintk(" perm_choose have %d: %d\n", i, work->perm[i]);
109
while (work->perm_n <= pr) {
110
unsigned int p = work->perm_n;
111
/* no point in swapping the final entry */
112
if (p < bucket->size - 1) {
113
i = crush_hash32_3(bucket->hash, x, bucket->id, p) %
114
(bucket->size - p);
115
if (i) {
116
unsigned int t = work->perm[p + i];
117
work->perm[p + i] = work->perm[p];
118
work->perm[p] = t;
119
}
120
dprintk(" perm_choose swap %d with %d\n", p, p+i);
121
}
122
work->perm_n++;
123
}
124
for (i = 0; i < bucket->size; i++)
125
dprintk(" perm_choose %d: %d\n", i, work->perm[i]);
126
127
s = work->perm[pr];
128
out:
129
dprintk(" perm_choose %d sz=%d x=%d r=%d (%d) s=%d\n", bucket->id,
130
bucket->size, x, r, pr, s);
131
return bucket->items[s];
132
}
133
134
/* uniform */
135
static int bucket_uniform_choose(const struct crush_bucket_uniform *bucket,
136
struct crush_work_bucket *work, int x, int r)
137
{
138
return bucket_perm_choose(&bucket->h, work, x, r);
139
}
140
141
/* list */
142
static int bucket_list_choose(const struct crush_bucket_list *bucket,
143
int x, int r)
144
{
145
int i;
146
147
for (i = bucket->h.size-1; i >= 0; i--) {
148
__u64 w = crush_hash32_4(bucket->h.hash, x, bucket->h.items[i],
149
r, bucket->h.id);
150
w &= 0xffff;
151
dprintk("list_choose i=%d x=%d r=%d item %d weight %x "
152
"sw %x rand %llx",
153
i, x, r, bucket->h.items[i], bucket->item_weights[i],
154
bucket->sum_weights[i], w);
155
w *= bucket->sum_weights[i];
156
w = w >> 16;
157
/*dprintk(" scaled %llx\n", w);*/
158
if (w < bucket->item_weights[i]) {
159
return bucket->h.items[i];
160
}
161
}
162
163
dprintk("bad list sums for bucket %d\n", bucket->h.id);
164
return bucket->h.items[0];
165
}
166
167
168
/* (binary) tree */
169
static int height(int n)
170
{
171
int h = 0;
172
while ((n & 1) == 0) {
173
h++;
174
n = n >> 1;
175
}
176
return h;
177
}
178
179
static int left(int x)
180
{
181
int h = height(x);
182
return x - (1 << (h-1));
183
}
184
185
static int right(int x)
186
{
187
int h = height(x);
188
return x + (1 << (h-1));
189
}
190
191
static int terminal(int x)
192
{
193
return x & 1;
194
}
195
196
static int bucket_tree_choose(const struct crush_bucket_tree *bucket,
197
int x, int r)
198
{
199
int n;
200
__u32 w;
201
__u64 t;
202
203
/* start at root */
204
n = bucket->num_nodes >> 1;
205
206
while (!terminal(n)) {
207
int l;
208
/* pick point in [0, w) */
209
w = bucket->node_weights[n];
210
t = (__u64)crush_hash32_4(bucket->h.hash, x, n, r,
211
bucket->h.id) * (__u64)w;
212
t = t >> 32;
213
214
/* descend to the left or right? */
215
l = left(n);
216
if (t < bucket->node_weights[l])
217
n = l;
218
else
219
n = right(n);
220
}
221
222
return bucket->h.items[n >> 1];
223
}
224
225
226
/* straw */
227
228
static int bucket_straw_choose(const struct crush_bucket_straw *bucket,
229
int x, int r)
230
{
231
__u32 i;
232
int high = 0;
233
__u64 high_draw = 0;
234
__u64 draw;
235
236
for (i = 0; i < bucket->h.size; i++) {
237
draw = crush_hash32_3(bucket->h.hash, x, bucket->h.items[i], r);
238
draw &= 0xffff;
239
draw *= bucket->straws[i];
240
if (i == 0 || draw > high_draw) {
241
high = i;
242
high_draw = draw;
243
}
244
}
245
return bucket->h.items[high];
246
}
247
248
/* compute 2^44*log2(input+1) */
249
static __u64 crush_ln(unsigned int xin)
250
{
251
unsigned int x = xin;
252
int iexpon, index1, index2;
253
__u64 RH, LH, LL, xl64, result;
254
255
x++;
256
257
/* normalize input */
258
iexpon = 15;
259
260
/*
261
* figure out number of bits we need to shift and
262
* do it in one step instead of iteratively
263
*/
264
if (!(x & 0x18000)) {
265
int bits = __builtin_clz(x & 0x1FFFF) - 16;
266
x <<= bits;
267
iexpon = 15 - bits;
268
}
269
270
index1 = (x >> 8) << 1;
271
/* RH ~ 2^56/index1 */
272
RH = __RH_LH_tbl[index1 - 256];
273
/* LH ~ 2^48 * log2(index1/256) */
274
LH = __RH_LH_tbl[index1 + 1 - 256];
275
276
/* RH*x ~ 2^48 * (2^15 + xf), xf<2^8 */
277
xl64 = (__s64)x * RH;
278
xl64 >>= 48;
279
280
result = iexpon;
281
result <<= (12 + 32);
282
283
index2 = xl64 & 0xff;
284
/* LL ~ 2^48*log2(1.0+index2/2^15) */
285
LL = __LL_tbl[index2];
286
287
LH = LH + LL;
288
289
LH >>= (48 - 12 - 32);
290
result += LH;
291
292
return result;
293
}
294
295
296
/*
297
* straw2
298
*
299
* for reference, see:
300
*
301
* https://en.wikipedia.org/wiki/Exponential_distribution#Distribution_of_the_minimum_of_exponential_random_variables
302
*
303
*/
304
305
static __u32 *get_choose_arg_weights(const struct crush_bucket_straw2 *bucket,
306
const struct crush_choose_arg *arg,
307
int position)
308
{
309
if (!arg || !arg->weight_set)
310
return bucket->item_weights;
311
312
if (position >= arg->weight_set_size)
313
position = arg->weight_set_size - 1;
314
return arg->weight_set[position].weights;
315
}
316
317
static __s32 *get_choose_arg_ids(const struct crush_bucket_straw2 *bucket,
318
const struct crush_choose_arg *arg)
319
{
320
if (!arg || !arg->ids)
321
return bucket->h.items;
322
323
return arg->ids;
324
}
325
326
static int bucket_straw2_choose(const struct crush_bucket_straw2 *bucket,
327
int x, int r,
328
const struct crush_choose_arg *arg,
329
int position)
330
{
331
unsigned int i, high = 0;
332
unsigned int u;
333
__s64 ln, draw, high_draw = 0;
334
__u32 *weights = get_choose_arg_weights(bucket, arg, position);
335
__s32 *ids = get_choose_arg_ids(bucket, arg);
336
337
for (i = 0; i < bucket->h.size; i++) {
338
dprintk("weight 0x%x item %d\n", weights[i], ids[i]);
339
if (weights[i]) {
340
u = crush_hash32_3(bucket->h.hash, x, ids[i], r);
341
u &= 0xffff;
342
343
/*
344
* for some reason slightly less than 0x10000 produces
345
* a slightly more accurate distribution... probably a
346
* rounding effect.
347
*
348
* the natural log lookup table maps [0,0xffff]
349
* (corresponding to real numbers [1/0x10000, 1] to
350
* [0, 0xffffffffffff] (corresponding to real numbers
351
* [-11.090355,0]).
352
*/
353
ln = crush_ln(u) - 0x1000000000000ll;
354
355
/*
356
* divide by 16.16 fixed-point weight. note
357
* that the ln value is negative, so a larger
358
* weight means a larger (less negative) value
359
* for draw.
360
*/
361
draw = div64_s64(ln, weights[i]);
362
} else {
363
draw = S64_MIN;
364
}
365
366
if (i == 0 || draw > high_draw) {
367
high = i;
368
high_draw = draw;
369
}
370
}
371
372
return bucket->h.items[high];
373
}
374
375
376
static int crush_bucket_choose(const struct crush_bucket *in,
377
struct crush_work_bucket *work,
378
int x, int r,
379
const struct crush_choose_arg *arg,
380
int position)
381
{
382
dprintk(" crush_bucket_choose %d x=%d r=%d\n", in->id, x, r);
383
BUG_ON(in->size == 0);
384
switch (in->alg) {
385
case CRUSH_BUCKET_UNIFORM:
386
return bucket_uniform_choose(
387
(const struct crush_bucket_uniform *)in,
388
work, x, r);
389
case CRUSH_BUCKET_LIST:
390
return bucket_list_choose((const struct crush_bucket_list *)in,
391
x, r);
392
case CRUSH_BUCKET_TREE:
393
return bucket_tree_choose((const struct crush_bucket_tree *)in,
394
x, r);
395
case CRUSH_BUCKET_STRAW:
396
return bucket_straw_choose(
397
(const struct crush_bucket_straw *)in,
398
x, r);
399
case CRUSH_BUCKET_STRAW2:
400
return bucket_straw2_choose(
401
(const struct crush_bucket_straw2 *)in,
402
x, r, arg, position);
403
default:
404
dprintk("unknown bucket %d alg %d\n", in->id, in->alg);
405
return in->items[0];
406
}
407
}
408
409
/*
410
* true if device is marked "out" (failed, fully offloaded)
411
* of the cluster
412
*/
413
static int is_out(const struct crush_map *map,
414
const __u32 *weight, int weight_max,
415
int item, int x)
416
{
417
if (item >= weight_max)
418
return 1;
419
if (weight[item] >= 0x10000)
420
return 0;
421
if (weight[item] == 0)
422
return 1;
423
if ((crush_hash32_2(CRUSH_HASH_RJENKINS1, x, item) & 0xffff)
424
< weight[item])
425
return 0;
426
return 1;
427
}
428
429
/**
430
* crush_choose_firstn - choose numrep distinct items of given type
431
* @map: the crush_map
432
* @work: working space initialized by crush_init_workspace()
433
* @bucket: the bucket we are choose an item from
434
* @weight: weight vector (for map leaves)
435
* @weight_max: size of weight vector
436
* @x: crush input value
437
* @numrep: the number of items to choose
438
* @type: the type of item to choose
439
* @out: pointer to output vector
440
* @outpos: our position in that vector
441
* @out_size: size of the out vector
442
* @tries: number of attempts to make
443
* @recurse_tries: number of attempts to have recursive chooseleaf make
444
* @local_retries: localized retries
445
* @local_fallback_retries: localized fallback retries
446
* @recurse_to_leaf: true if we want one device under each item of given type (chooseleaf instead of choose)
447
* @stable: stable mode starts rep=0 in the recursive call for all replicas
448
* @vary_r: pass r to recursive calls
449
* @out2: second output vector for leaf items (if @recurse_to_leaf)
450
* @parent_r: r value passed from the parent
451
* @choose_args: weights and ids for each known bucket
452
*/
453
static int crush_choose_firstn(const struct crush_map *map,
454
struct crush_work *work,
455
const struct crush_bucket *bucket,
456
const __u32 *weight, int weight_max,
457
int x, int numrep, int type,
458
int *out, int outpos,
459
int out_size,
460
unsigned int tries,
461
unsigned int recurse_tries,
462
unsigned int local_retries,
463
unsigned int local_fallback_retries,
464
int recurse_to_leaf,
465
unsigned int vary_r,
466
unsigned int stable,
467
int *out2,
468
int parent_r,
469
const struct crush_choose_arg *choose_args)
470
{
471
int rep;
472
unsigned int ftotal, flocal;
473
int retry_descent, retry_bucket, skip_rep;
474
const struct crush_bucket *in = bucket;
475
int r;
476
int i;
477
int item = 0;
478
int itemtype;
479
int collide, reject;
480
int count = out_size;
481
482
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",
483
recurse_to_leaf ? "_LEAF" : "",
484
bucket->id, x, outpos, numrep,
485
tries, recurse_tries, local_retries, local_fallback_retries,
486
parent_r, stable);
487
488
for (rep = stable ? 0 : outpos; rep < numrep && count > 0 ; rep++) {
489
/* keep trying until we get a non-out, non-colliding item */
490
ftotal = 0;
491
skip_rep = 0;
492
do {
493
retry_descent = 0;
494
in = bucket; /* initial bucket */
495
496
/* choose through intervening buckets */
497
flocal = 0;
498
do {
499
collide = 0;
500
retry_bucket = 0;
501
r = rep + parent_r;
502
/* r' = r + f_total */
503
r += ftotal;
504
505
/* bucket choose */
506
if (in->size == 0) {
507
reject = 1;
508
goto reject;
509
}
510
if (local_fallback_retries > 0 &&
511
flocal >= (in->size>>1) &&
512
flocal > local_fallback_retries)
513
item = bucket_perm_choose(
514
in, work->work[-1-in->id],
515
x, r);
516
else
517
item = crush_bucket_choose(
518
in, work->work[-1-in->id],
519
x, r,
520
(choose_args ?
521
&choose_args[-1-in->id] : NULL),
522
outpos);
523
if (item >= map->max_devices) {
524
dprintk(" bad item %d\n", item);
525
skip_rep = 1;
526
break;
527
}
528
529
/* desired type? */
530
if (item < 0)
531
itemtype = map->buckets[-1-item]->type;
532
else
533
itemtype = 0;
534
dprintk(" item %d type %d\n", item, itemtype);
535
536
/* keep going? */
537
if (itemtype != type) {
538
if (item >= 0 ||
539
(-1-item) >= map->max_buckets) {
540
dprintk(" bad item type %d\n", type);
541
skip_rep = 1;
542
break;
543
}
544
in = map->buckets[-1-item];
545
retry_bucket = 1;
546
continue;
547
}
548
549
/* collision? */
550
for (i = 0; i < outpos; i++) {
551
if (out[i] == item) {
552
collide = 1;
553
break;
554
}
555
}
556
557
reject = 0;
558
if (!collide && recurse_to_leaf) {
559
if (item < 0) {
560
int sub_r;
561
if (vary_r)
562
sub_r = r >> (vary_r-1);
563
else
564
sub_r = 0;
565
if (crush_choose_firstn(
566
map,
567
work,
568
map->buckets[-1-item],
569
weight, weight_max,
570
x, stable ? 1 : outpos+1, 0,
571
out2, outpos, count,
572
recurse_tries, 0,
573
local_retries,
574
local_fallback_retries,
575
0,
576
vary_r,
577
stable,
578
NULL,
579
sub_r,
580
choose_args) <= outpos)
581
/* didn't get leaf */
582
reject = 1;
583
} else {
584
/* we already have a leaf! */
585
out2[outpos] = item;
586
}
587
}
588
589
if (!reject && !collide) {
590
/* out? */
591
if (itemtype == 0)
592
reject = is_out(map, weight,
593
weight_max,
594
item, x);
595
}
596
597
reject:
598
if (reject || collide) {
599
ftotal++;
600
flocal++;
601
602
if (collide && flocal <= local_retries)
603
/* retry locally a few times */
604
retry_bucket = 1;
605
else if (local_fallback_retries > 0 &&
606
flocal <= in->size + local_fallback_retries)
607
/* exhaustive bucket search */
608
retry_bucket = 1;
609
else if (ftotal < tries)
610
/* then retry descent */
611
retry_descent = 1;
612
else
613
/* else give up */
614
skip_rep = 1;
615
dprintk(" reject %d collide %d "
616
"ftotal %u flocal %u\n",
617
reject, collide, ftotal,
618
flocal);
619
}
620
} while (retry_bucket);
621
} while (retry_descent);
622
623
if (skip_rep) {
624
dprintk("skip rep\n");
625
continue;
626
}
627
628
dprintk("CHOOSE got %d\n", item);
629
out[outpos] = item;
630
outpos++;
631
count--;
632
#ifndef __KERNEL__
633
if (map->choose_tries && ftotal <= map->choose_total_tries)
634
map->choose_tries[ftotal]++;
635
#endif
636
}
637
638
dprintk("CHOOSE returns %d\n", outpos);
639
return outpos;
640
}
641
642
643
/*
644
* crush_choose_indep: alternative breadth-first positionally stable mapping
645
*/
646
static void crush_choose_indep(const struct crush_map *map,
647
struct crush_work *work,
648
const struct crush_bucket *bucket,
649
const __u32 *weight, int weight_max,
650
int x, int left, int numrep, int type,
651
int *out, int outpos,
652
unsigned int tries,
653
unsigned int recurse_tries,
654
int recurse_to_leaf,
655
int *out2,
656
int parent_r,
657
const struct crush_choose_arg *choose_args)
658
{
659
const struct crush_bucket *in = bucket;
660
int endpos = outpos + left;
661
int rep;
662
unsigned int ftotal;
663
int r;
664
int i;
665
int item = 0;
666
int itemtype;
667
int collide;
668
669
dprintk("CHOOSE%s INDEP bucket %d x %d outpos %d numrep %d\n", recurse_to_leaf ? "_LEAF" : "",
670
bucket->id, x, outpos, numrep);
671
672
/* initially my result is undefined */
673
for (rep = outpos; rep < endpos; rep++) {
674
out[rep] = CRUSH_ITEM_UNDEF;
675
if (out2)
676
out2[rep] = CRUSH_ITEM_UNDEF;
677
}
678
679
for (ftotal = 0; left > 0 && ftotal < tries; ftotal++) {
680
#ifdef DEBUG_INDEP
681
if (out2 && ftotal) {
682
dprintk("%u %d a: ", ftotal, left);
683
for (rep = outpos; rep < endpos; rep++) {
684
dprintk(" %d", out[rep]);
685
}
686
dprintk("\n");
687
dprintk("%u %d b: ", ftotal, left);
688
for (rep = outpos; rep < endpos; rep++) {
689
dprintk(" %d", out2[rep]);
690
}
691
dprintk("\n");
692
}
693
#endif
694
for (rep = outpos; rep < endpos; rep++) {
695
if (out[rep] != CRUSH_ITEM_UNDEF)
696
continue;
697
698
in = bucket; /* initial bucket */
699
700
/* choose through intervening buckets */
701
for (;;) {
702
/* note: we base the choice on the position
703
* even in the nested call. that means that
704
* if the first layer chooses the same bucket
705
* in a different position, we will tend to
706
* choose a different item in that bucket.
707
* this will involve more devices in data
708
* movement and tend to distribute the load.
709
*/
710
r = rep + parent_r;
711
712
/* be careful */
713
if (in->alg == CRUSH_BUCKET_UNIFORM &&
714
in->size % numrep == 0)
715
/* r'=r+(n+1)*f_total */
716
r += (numrep+1) * ftotal;
717
else
718
/* r' = r + n*f_total */
719
r += numrep * ftotal;
720
721
/* bucket choose */
722
if (in->size == 0) {
723
dprintk(" empty bucket\n");
724
break;
725
}
726
727
item = crush_bucket_choose(
728
in, work->work[-1-in->id],
729
x, r,
730
(choose_args ?
731
&choose_args[-1-in->id] : NULL),
732
outpos);
733
if (item >= map->max_devices) {
734
dprintk(" bad item %d\n", item);
735
out[rep] = CRUSH_ITEM_NONE;
736
if (out2)
737
out2[rep] = CRUSH_ITEM_NONE;
738
left--;
739
break;
740
}
741
742
/* desired type? */
743
if (item < 0)
744
itemtype = map->buckets[-1-item]->type;
745
else
746
itemtype = 0;
747
dprintk(" item %d type %d\n", item, itemtype);
748
749
/* keep going? */
750
if (itemtype != type) {
751
if (item >= 0 ||
752
(-1-item) >= map->max_buckets) {
753
dprintk(" bad item type %d\n", type);
754
out[rep] = CRUSH_ITEM_NONE;
755
if (out2)
756
out2[rep] =
757
CRUSH_ITEM_NONE;
758
left--;
759
break;
760
}
761
in = map->buckets[-1-item];
762
continue;
763
}
764
765
/* collision? */
766
collide = 0;
767
for (i = outpos; i < endpos; i++) {
768
if (out[i] == item) {
769
collide = 1;
770
break;
771
}
772
}
773
if (collide)
774
break;
775
776
if (recurse_to_leaf) {
777
if (item < 0) {
778
crush_choose_indep(
779
map,
780
work,
781
map->buckets[-1-item],
782
weight, weight_max,
783
x, 1, numrep, 0,
784
out2, rep,
785
recurse_tries, 0,
786
0, NULL, r,
787
choose_args);
788
if (out2[rep] == CRUSH_ITEM_NONE) {
789
/* placed nothing; no leaf */
790
break;
791
}
792
} else {
793
/* we already have a leaf! */
794
out2[rep] = item;
795
}
796
}
797
798
/* out? */
799
if (itemtype == 0 &&
800
is_out(map, weight, weight_max, item, x))
801
break;
802
803
/* yay! */
804
out[rep] = item;
805
left--;
806
break;
807
}
808
}
809
}
810
for (rep = outpos; rep < endpos; rep++) {
811
if (out[rep] == CRUSH_ITEM_UNDEF) {
812
out[rep] = CRUSH_ITEM_NONE;
813
}
814
if (out2 && out2[rep] == CRUSH_ITEM_UNDEF) {
815
out2[rep] = CRUSH_ITEM_NONE;
816
}
817
}
818
#ifndef __KERNEL__
819
if (map->choose_tries && ftotal <= map->choose_total_tries)
820
map->choose_tries[ftotal]++;
821
#endif
822
#ifdef DEBUG_INDEP
823
if (out2) {
824
dprintk("%u %d a: ", ftotal, left);
825
for (rep = outpos; rep < endpos; rep++) {
826
dprintk(" %d", out[rep]);
827
}
828
dprintk("\n");
829
dprintk("%u %d b: ", ftotal, left);
830
for (rep = outpos; rep < endpos; rep++) {
831
dprintk(" %d", out2[rep]);
832
}
833
dprintk("\n");
834
}
835
#endif
836
}
837
838
839
/*
840
* This takes a chunk of memory and sets it up to be a shiny new
841
* working area for a CRUSH placement computation. It must be called
842
* on any newly allocated memory before passing it in to
843
* crush_do_rule. It may be used repeatedly after that, so long as the
844
* map has not changed. If the map /has/ changed, you must make sure
845
* the working size is no smaller than what was allocated and re-run
846
* crush_init_workspace.
847
*
848
* If you do retain the working space between calls to crush, make it
849
* thread-local.
850
*/
851
void crush_init_workspace(const struct crush_map *map, void *v)
852
{
853
struct crush_work *w = v;
854
__s32 b;
855
856
/*
857
* We work by moving through the available space and setting
858
* values and pointers as we go.
859
*
860
* It's a bit like Forth's use of the 'allot' word since we
861
* set the pointer first and then reserve the space for it to
862
* point to by incrementing the point.
863
*/
864
v += sizeof(struct crush_work);
865
w->work = v;
866
v += map->max_buckets * sizeof(struct crush_work_bucket *);
867
for (b = 0; b < map->max_buckets; ++b) {
868
if (!map->buckets[b])
869
continue;
870
871
w->work[b] = v;
872
switch (map->buckets[b]->alg) {
873
default:
874
v += sizeof(struct crush_work_bucket);
875
break;
876
}
877
w->work[b]->perm_x = 0;
878
w->work[b]->perm_n = 0;
879
w->work[b]->perm = v;
880
v += map->buckets[b]->size * sizeof(__u32);
881
}
882
BUG_ON(v - (void *)w != map->working_size);
883
}
884
885
/**
886
* crush_do_rule - calculate a mapping with the given input and rule
887
* @map: the crush_map
888
* @ruleno: the rule id
889
* @x: hash input
890
* @result: pointer to result vector
891
* @result_max: maximum result size
892
* @weight: weight vector (for map leaves)
893
* @weight_max: size of weight vector
894
* @cwin: pointer to at least crush_work_size() bytes of memory
895
* @choose_args: weights and ids for each known bucket
896
*/
897
int crush_do_rule(const struct crush_map *map,
898
int ruleno, int x, int *result, int result_max,
899
const __u32 *weight, int weight_max,
900
void *cwin, const struct crush_choose_arg *choose_args)
901
{
902
int result_len;
903
struct crush_work *cw = cwin;
904
int *a = cwin + map->working_size;
905
int *b = a + result_max;
906
int *c = b + result_max;
907
int *w = a;
908
int *o = b;
909
int recurse_to_leaf;
910
int wsize = 0;
911
int osize;
912
const struct crush_rule *rule;
913
__u32 step;
914
int i, j;
915
int numrep;
916
int out_size;
917
/*
918
* the original choose_total_tries value was off by one (it
919
* counted "retries" and not "tries"). add one.
920
*/
921
int choose_tries = map->choose_total_tries + 1;
922
int choose_leaf_tries = 0;
923
/*
924
* the local tries values were counted as "retries", though,
925
* and need no adjustment
926
*/
927
int choose_local_retries = map->choose_local_tries;
928
int choose_local_fallback_retries = map->choose_local_fallback_tries;
929
930
int vary_r = map->chooseleaf_vary_r;
931
int stable = map->chooseleaf_stable;
932
933
if ((__u32)ruleno >= map->max_rules) {
934
dprintk(" bad ruleno %d\n", ruleno);
935
return 0;
936
}
937
938
rule = map->rules[ruleno];
939
result_len = 0;
940
941
for (step = 0; step < rule->len; step++) {
942
int firstn = 0;
943
const struct crush_rule_step *curstep = &rule->steps[step];
944
945
switch (curstep->op) {
946
case CRUSH_RULE_TAKE:
947
if ((curstep->arg1 >= 0 &&
948
curstep->arg1 < map->max_devices) ||
949
(-1-curstep->arg1 >= 0 &&
950
-1-curstep->arg1 < map->max_buckets &&
951
map->buckets[-1-curstep->arg1])) {
952
w[0] = curstep->arg1;
953
wsize = 1;
954
} else {
955
dprintk(" bad take value %d\n", curstep->arg1);
956
}
957
break;
958
959
case CRUSH_RULE_SET_CHOOSE_TRIES:
960
if (curstep->arg1 > 0)
961
choose_tries = curstep->arg1;
962
break;
963
964
case CRUSH_RULE_SET_CHOOSELEAF_TRIES:
965
if (curstep->arg1 > 0)
966
choose_leaf_tries = curstep->arg1;
967
break;
968
969
case CRUSH_RULE_SET_CHOOSE_LOCAL_TRIES:
970
if (curstep->arg1 >= 0)
971
choose_local_retries = curstep->arg1;
972
break;
973
974
case CRUSH_RULE_SET_CHOOSE_LOCAL_FALLBACK_TRIES:
975
if (curstep->arg1 >= 0)
976
choose_local_fallback_retries = curstep->arg1;
977
break;
978
979
case CRUSH_RULE_SET_CHOOSELEAF_VARY_R:
980
if (curstep->arg1 >= 0)
981
vary_r = curstep->arg1;
982
break;
983
984
case CRUSH_RULE_SET_CHOOSELEAF_STABLE:
985
if (curstep->arg1 >= 0)
986
stable = curstep->arg1;
987
break;
988
989
case CRUSH_RULE_CHOOSELEAF_FIRSTN:
990
case CRUSH_RULE_CHOOSE_FIRSTN:
991
firstn = 1;
992
fallthrough;
993
case CRUSH_RULE_CHOOSELEAF_INDEP:
994
case CRUSH_RULE_CHOOSE_INDEP:
995
if (wsize == 0)
996
break;
997
998
recurse_to_leaf =
999
curstep->op ==
1000
CRUSH_RULE_CHOOSELEAF_FIRSTN ||
1001
curstep->op ==
1002
CRUSH_RULE_CHOOSELEAF_INDEP;
1003
1004
/* reset output */
1005
osize = 0;
1006
1007
for (i = 0; i < wsize; i++) {
1008
int bno;
1009
numrep = curstep->arg1;
1010
if (numrep <= 0) {
1011
numrep += result_max;
1012
if (numrep <= 0)
1013
continue;
1014
}
1015
j = 0;
1016
/* make sure bucket id is valid */
1017
bno = -1 - w[i];
1018
if (bno < 0 || bno >= map->max_buckets) {
1019
/* w[i] is probably CRUSH_ITEM_NONE */
1020
dprintk(" bad w[i] %d\n", w[i]);
1021
continue;
1022
}
1023
if (firstn) {
1024
int recurse_tries;
1025
if (choose_leaf_tries)
1026
recurse_tries =
1027
choose_leaf_tries;
1028
else if (map->chooseleaf_descend_once)
1029
recurse_tries = 1;
1030
else
1031
recurse_tries = choose_tries;
1032
osize += crush_choose_firstn(
1033
map,
1034
cw,
1035
map->buckets[bno],
1036
weight, weight_max,
1037
x, numrep,
1038
curstep->arg2,
1039
o+osize, j,
1040
result_max-osize,
1041
choose_tries,
1042
recurse_tries,
1043
choose_local_retries,
1044
choose_local_fallback_retries,
1045
recurse_to_leaf,
1046
vary_r,
1047
stable,
1048
c+osize,
1049
0,
1050
choose_args);
1051
} else {
1052
out_size = ((numrep < (result_max-osize)) ?
1053
numrep : (result_max-osize));
1054
crush_choose_indep(
1055
map,
1056
cw,
1057
map->buckets[bno],
1058
weight, weight_max,
1059
x, out_size, numrep,
1060
curstep->arg2,
1061
o+osize, j,
1062
choose_tries,
1063
choose_leaf_tries ?
1064
choose_leaf_tries : 1,
1065
recurse_to_leaf,
1066
c+osize,
1067
0,
1068
choose_args);
1069
osize += out_size;
1070
}
1071
}
1072
1073
if (recurse_to_leaf)
1074
/* copy final _leaf_ values to output set */
1075
memcpy(o, c, osize*sizeof(*o));
1076
1077
/* swap o and w arrays */
1078
swap(o, w);
1079
wsize = osize;
1080
break;
1081
1082
1083
case CRUSH_RULE_EMIT:
1084
for (i = 0; i < wsize && result_len < result_max; i++) {
1085
result[result_len] = w[i];
1086
result_len++;
1087
}
1088
wsize = 0;
1089
break;
1090
1091
default:
1092
dprintk(" unknown op %d at step %d\n",
1093
curstep->op, step);
1094
break;
1095
}
1096
}
1097
1098
return result_len;
1099
}
1100
1101