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#ifndef CEPH_CRUSH_MAPPER_H
#define CEPH_CRUSH_MAPPER_H
/*
* CRUSH functions for find rules and then mapping an input to an
* output set.
*
* LGPL-2.1 or LGPL-3.0
*/
#include "crush.h"
extern int crush_find_rule(const struct crush_map *map, int ruleset, int type, int size);
/** @ingroup API
*
* Map __x__ to __result_max__ items and store them in the __result__
* array. The mapping is done by following each step of the rule
* __ruleno__. See crush_make_rule(), crush_rule_set_step() and
* crush_add_rule() for more information on how the rules are created,
* populated and added to the crush __map__.
*
* The return value is the the number of items in the __result__
* array. If the caller asked for __result_max__ items and the return
* value is X where X < __result_max__, the content of __result[0,X[__
* is defined but the content of __result[X,result_max[__ is
* undefined. For example:
*
* crush_do_rule(map, ruleno=1, x=1, result, result_max=3,...) == 1
* result[0] is set
* result[1] is undefined
* result[2] is undefined
*
* An entry in the __result__ array is either an item in the crush
* __map__ or ::CRUSH_ITEM_NONE if no item was found. For example:
*
* crush_do_rule(map, ruleno=1, x=1, result, result_max=4,...) == 2
* result[0] is CRUSH_ITEM_NONE
* result[1] is item number 5
* result[2] is undefined
* result[3] is undefined
*
* The __weight__ array contains the probabilities that a leaf is
* ignored even if it is selected. It is a 16.16 fixed point
* number in the range [0x00000,0x10000]. The lower the value, the
* more often the leaf is ignored. For instance:
*
* - weight[leaf] == 0x00000 == 0.0 always ignore
* - weight[leaf] == 0x10000 == 1.0 never ignore
* - weight[leaf] == 0x08000 == 0.5 ignore 50% of the time
* - weight[leaf] == 0x04000 == 0.25 ignore 75% of the time
* - etc.
*
* During mapping, each leaf is checked against the __weight__ array,
* using the leaf as an index. If there is no entry in __weight__ for
* the leaf, it is ignored. If there is an entry, the leaf will be
* ignored some of the time, depending on the probability.
*
* The __cwin__ argument must be set as follows:
*
* char __cwin__[crush_work_size(__map__, __result_max__)];
* crush_init_workspace(__map__, __cwin__);
*
* @param map the crush_map
* @param ruleno a positive integer < __CRUSH_MAX_RULES__
* @param x the value to map to __result_max__ items
* @param result an array of items of size __result_max__
* @param result_max the size of the __result__ array
* @param weights an array of weights of size __weight_max__
* @param weight_max the size of the __weights__ array
* @param cwin must be an char array initialized by crush_init_workspace
* @param choose_args weights and ids for each known bucket
*
* @return 0 on error or the size of __result__ on success
*/
extern int crush_do_rule(const struct crush_map *map,
int ruleno,
int x, int *result, int result_max,
const __u32 *weights, int weight_max,
void *cwin, const struct crush_choose_arg *choose_args);
/* Returns the exact amount of workspace that will need to be used
for a given combination of crush_map and result_max. The caller can
then allocate this much on its own, either on the stack, in a
per-thread long-lived buffer, or however it likes. */
static inline size_t crush_work_size(const struct crush_map *map,
int result_max) {
return map->working_size + result_max * 3 * sizeof(__u32);
}
extern void crush_init_workspace(const struct crush_map *m, void *v);
#endif
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