X-Git-Url: https://git.saurik.com/redis.git/blobdiff_plain/2ebd2720b37dcca3b6e0c18377bd69e9eaf541fc..9c21b72bb9b7844b22b60f63af37aa30dd78f898:/src/t_zset.c diff --git a/src/t_zset.c b/src/t_zset.c index f42e5a31..4812709e 100644 --- a/src/t_zset.c +++ b/src/t_zset.c @@ -17,7 +17,7 @@ /* This skiplist implementation is almost a C translation of the original * algorithm described by William Pugh in "Skip Lists: A Probabilistic * Alternative to Balanced Trees", modified in three ways: - * a) this implementation allows for repeated values. + * a) this implementation allows for repeated scores. * b) the comparison is not just by key (our 'score') but by satellite data. * c) there is a back pointer, so it's a doubly linked list with the back * pointers being only at "level 1". This allows to traverse the list @@ -64,6 +64,10 @@ void zslFree(zskiplist *zsl) { zfree(zsl); } +/* Returns a random level for the new skiplist node we are going to create. + * The return value of this function is between 1 and ZSKIPLIST_MAXLEVEL + * (both inclusive), with a powerlaw-alike distribution where higher + * levels are less likely to be returned. */ int zslRandomLevel(void) { int level = 1; while ((random()&0xFFFF) < (ZSKIPLIST_P * 0xFFFF)) @@ -498,7 +502,7 @@ int zzlIsInRange(unsigned char *zl, zrangespec *range) { return 0; p = ziplistIndex(zl,-1); /* Last score. */ - redisAssert(p != NULL); + if (p == NULL) return 0; /* Empty sorted set */ score = zzlGetScore(p); if (!zslValueGteMin(score,range)) return 0; @@ -1250,13 +1254,16 @@ int zuiNext(zsetopsrc *op, zsetopval *val) { if (val->flags & OPVAL_DIRTY_ROBJ) decrRefCount(val->ele); - bzero(val,sizeof(zsetopval)); + memset(val,0,sizeof(zsetopval)); if (op->type == REDIS_SET) { iterset *it = &op->iter.set; if (op->encoding == REDIS_ENCODING_INTSET) { - if (!intsetGet(it->is.is,it->is.ii,(int64_t*)&val->ell)) + int64_t ell; + + if (!intsetGet(it->is.is,it->is.ii,&ell)) return 0; + val->ell = ell; val->score = 1.0; /* Move to next element. */