# "no" that is the safest pick from the point of view of durability.
no-appendfsync-on-rewrite no
-#################################### DISK STORE ###############################
-
-# When disk store is active Redis works as an on-disk database, where memory
-# is only used as a object cache.
-#
-# This mode is good for datasets that are bigger than memory, and in general
-# when you want to trade speed for:
-#
-# - less memory used
-# - immediate server restart
-# - per key durability, without need for backgrond savig
-#
-# On the other hand, with disk store enabled MULTI/EXEC are no longer
-# transactional from the point of view of the persistence on disk, that is,
-# Redis transactions will still guarantee that commands are either processed
-# all or nothing, but there is no guarantee that all the keys are flushed
-# on disk in an atomic way.
-#
-# Of course with disk store enabled Redis is not as fast as it is when
-# working with just the memory back end.
-
-diskstore-enabled no
-diskstore-path redis.ds
-cache-max-memory 0
-cache-flush-delay 0
-
############################### ADVANCED CONFIG ###############################
# Hashes are encoded in a special way (much more memory efficient) when they
-# have at max a given numer of elements, and the biggest element does not
+# have at max a given number of elements, and the biggest element does not
# exceed a given threshold. You can configure this limits with the following
# configuration directives.
-hash-max-zipmap-entries 64
-hash-max-zipmap-value 512
+hash-max-ziplist-entries 64
+hash-max-ziplist-value 512
# Similarly to hashes, small lists are also encoded in a special way in order
# to save a lot of space. The special representation is only used when
# order to help rehashing the main Redis hash table (the one mapping top-level
# keys to values). The hash table implementation redis uses (see dict.c)
# performs a lazy rehashing: the more operation you run into an hash table
-# that is rhashing, the more rehashing "steps" are performed, so if the
+# that is rehashing, the more rehashing "steps" are performed, so if the
# server is idle the rehashing is never complete and some more memory is used
# by the hash table.
#