lib/redis.rb in redis-3.1.0 vs lib/redis.rb in redis-3.2.0

@@ -1586,10 +1586,42 @@
     synchronize do |client|
       client.call([:zremrangebyrank, key, start, stop])
     end
   end
 
+  # Return a range of members with the same score in a sorted set, by lexicographical ordering
+  #
+  # @example Retrieve members matching a
+  #   redis.zrangebylex("zset", "[a", "[a\xff")
+  #     # => ["aaren", "aarika", "abagael", "abby"]
+  # @example Retrieve the first 2 members matching a
+  #   redis.zrangebylex("zset", "[a", "[a\xff", :limit => [0, 2])
+  #     # => ["aaren", "aarika"]
+  #
+  # @param [String] key
+  # @param [String] min
+  #   - inclusive minimum is specified by prefixing `(`
+  #   - exclusive minimum is specified by prefixing `[`
+  # @param [String] max
+  #   - inclusive maximum is specified by prefixing `(`
+  #   - exclusive maximum is specified by prefixing `[`
+  # @param [Hash] options
+  #   - `:limit => [offset, count]`: skip `offset` members, return a maximum of
+  #   `count` members
+  #
+  # @return [Array<String>, Array<[String, Float]>]
+  def zrangebylex(key, min, max, options = {})
+    args = []
+
+    limit = options[:limit]
+    args.concat(["LIMIT"] + limit) if limit
+
+    synchronize do |client|
+      client.call([:zrangebylex, key, min, max] + args)
+    end
+  end
+
   # Return a range of members in a sorted set, by score.
   #
   # @example Retrieve members with score `>= 5` and `< 100`
   #   redis.zrangebyscore("zset", "5", "(100")
   #     # => ["a", "b"]
@@ -2447,14 +2479,17 @@
     end
   end
 
   # Get the approximate cardinality of members added to HyperLogLog structure.
   #
-  # @param [String] key
+  # If called with multiple keys, returns the approximate cardinality of the
+  # union of the HyperLogLogs contained in the keys.
+  #
+  # @param [String, Array<String>] keys
   # @return [Fixnum]
-  def pfcount(key)
+  def pfcount(*keys)
     synchronize do |client|
-      client.call([:pfcount, key])
+      client.call([:pfcount] + keys)
     end
   end
 
   # Merge multiple HyperLogLog values into an unique value that will approximate the cardinality of the union of
   # the observed Sets of the source HyperLogLog structures.