Removed dead code: function rdbSaveTime() is no longer used since RDB now saves expir...

[redis.git] / src / t_zset.c

diff --git a/src/t_zset.c b/src/t_zset.c
index f42e5a3185bcf7b44f147c5b0871e7457099703a..d482d4c2f743a199ee41af3e82a86dd8e8544848 100644 (file)
--- 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;
@@ -1250,7 +1254,7 @@ 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;