+# Don't use more memory than the specified amount of bytes.
+# When the memory limit is reached Redis will try to remove keys with an
+# EXPIRE set. It will try to start freeing keys that are going to expire
+# in little time and preserve keys with a longer time to live.
+# Redis will also try to remove objects from free lists if possible.
+#
+# If all this fails, Redis will start to reply with errors to commands
+# that will use more memory, like SET, LPUSH, and so on, and will continue
+# to reply to most read-only commands like GET.
+#
+# WARNING: maxmemory can be a good idea mainly if you want to use Redis as a
+# 'state' server or cache, not as a real DB. When Redis is used as a real
+# database the memory usage will grow over the weeks, it will be obvious if
+# it is going to use too much memory in the long run, and you'll have the time
+# to upgrade. With maxmemory after the limit is reached you'll start to get
+# errors for write operations, and this may even lead to DB inconsistency.
+#
+# maxmemory <bytes>
+
+# MAXMEMORY POLICY: how Redis will select what to remove when maxmemory
+# is reached? You can select among five behavior:
+#
+# volatile-lru -> remove the key with an expire set using an LRU algorithm
+# allkeys-lru -> remove any key accordingly to the LRU algorithm
+# volatile-random -> remove a random key with an expire set
+# allkeys->random -> remove a random key, any key
+# volatile-ttl -> remove the key with the nearest expire time (minor TTL)
+# noeviction -> don't expire at all, just return an error on write operations
+#
+# Note: with all the kind of policies, Redis will return an error on write
+# operations, when there are not suitable keys for eviction.
+#
+# At the date of writing this commands are: set setnx setex append
+# incr decr rpush lpush rpushx lpushx linsert lset rpoplpush sadd
+# sinter sinterstore sunion sunionstore sdiff sdiffstore zadd zincrby
+# zunionstore zinterstore hset hsetnx hmset hincrby incrby decrby
+# getset mset msetnx exec sort
+#
+# The default is:
+#
+# maxmemory-policy volatile-lru
+
+# LRU and minimal TTL algorithms are not precise algorithms but approximated
+# algorithms (in order to save memory), so you can select as well the sample
+# size to check. For instance for default Redis will check three keys and
+# pick the one that was used less recently, you can change the sample size
+# using the following configuration directive.
+#
+# maxmemory-samples 3
+
+############################## APPEND ONLY MODE ###############################
+
+# By default Redis asynchronously dumps the dataset on disk. If you can live
+# with the idea that the latest records will be lost if something like a crash
+# happens this is the preferred way to run Redis. If instead you care a lot
+# about your data and don't want to that a single record can get lost you should
+# enable the append only mode: when this mode is enabled Redis will append
+# every write operation received in the file appendonly.aof. This file will
+# be read on startup in order to rebuild the full dataset in memory.
+#
+# Note that you can have both the async dumps and the append only file if you
+# like (you have to comment the "save" statements above to disable the dumps).
+# Still if append only mode is enabled Redis will load the data from the
+# log file at startup ignoring the dump.rdb file.
+#
+# IMPORTANT: Check the BGREWRITEAOF to check how to rewrite the append
+# log file in background when it gets too big.
+
+appendonly no
+
+# The name of the append only file (default: "appendonly.aof")
+# appendfilename appendonly.aof
+
+# The fsync() call tells the Operating System to actually write data on disk
+# instead to wait for more data in the output buffer. Some OS will really flush
+# data on disk, some other OS will just try to do it ASAP.
+#
+# Redis supports three different modes:
+#
+# no: don't fsync, just let the OS flush the data when it wants. Faster.
+# always: fsync after every write to the append only log . Slow, Safest.
+# everysec: fsync only if one second passed since the last fsync. Compromise.
+#
+# The default is "everysec" that's usually the right compromise between
+# speed and data safety. It's up to you to understand if you can relax this to
+# "no" that will will let the operating system flush the output buffer when
+# it wants, for better performances (but if you can live with the idea of
+# some data loss consider the default persistence mode that's snapshotting),
+# or on the contrary, use "always" that's very slow but a bit safer than
+# everysec.
+#
+# If unsure, use "everysec".
+
+# appendfsync always
+appendfsync everysec
+# appendfsync no
+
+# When the AOF fsync policy is set to always or everysec, and a background
+# saving process (a background save or AOF log background rewriting) is
+# performing a lot of I/O against the disk, in some Linux configurations
+# Redis may block too long on the fsync() call. Note that there is no fix for
+# this currently, as even performing fsync in a different thread will block
+# our synchronous write(2) call.
+#
+# In order to mitigate this problem it's possible to use the following option
+# that will prevent fsync() from being called in the main process while a
+# BGSAVE or BGREWRITEAOF is in progress.
+#
+# This means that while another child is saving the durability of Redis is
+# the same as "appendfsync none", that in pratical terms means that it is
+# possible to lost up to 30 seconds of log in the worst scenario (with the
+# default Linux settings).
+#
+# If you have latency problems turn this to "yes". Otherwise leave it as
+# "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
+
projects / redis.git / blobdiff