anchor.diff:  # the dataset will likely be bigger if you have compressible values or keys.
   rdbcompression yes
   
  +# Since version 5 of RDB a CRC64 checksum is placed at the end of the file.
  +# This makes the format more resistant to corruption but there is a performance
  +# hit to pay (around 10%) when saving and loading RDB files, so you can disable it
  +# for maximum performances.
  +#
  +# RDB files created with checksum disabled have a checksum of zero that will
  +# tell the loading code to skip the check.
  +rdbchecksum yes
  +
   # The filename where to dump the DB
   dbfilename dump.rdb
   
  -# For default save/load DB in/from the working directory
  -# Note that you must specify a directory not a file name.
  +# The working directory.
  +#
  +# The DB will be written inside this directory, with the filename specified
  +# above using the 'dbfilename' configuration directive.
  +#
  +# The Append Only File will also be created inside this directory.
  +#
  +# Note that you must specify a directory here, not a file name.
   dir <%= dir %>
   
   ################################# REPLICATION #################################
   
   # Master-Slave replication. Use slaveof to make a Redis instance a copy of
  -# another Redis server. Note that the configuration is local to the slave
  -# so for example it is possible to configure the slave to save the DB with a
  -# different interval, or to listen to another port, and so on.
  +# another Redis server. A few things to understand ASAP about Redis replication.
  +#
  +# 1) Redis replication is asynchronous, but you can configure a master to
  +#    stop accepting writes if it appears to be not connected with at least
  +#    a given number of slaves.
  +# 2) Redis slaves are able to perform a partial resynchronization with the
  +#    master if the replication link is lost for a relatively small amount of
  +#    time. You may want to configure the replication backlog size (see the next
  +#    sections of this file) with a sensible value depending on your needs.
  +# 3) Replication is automatic and does not need user intervention. After a
  +#    network partition slaves automatically try to reconnect to masters
  +#    and resynchronize with them.
   #
   # slaveof <masterip> <masterport>
   
  
positive.code: # Redis configuration file example
  
  # By default Redis does not run as a daemon. Use 'yes' if you need it.
  # Note that Redis will write a pid file in /var/run/redis.pid when daemonized.
  daemonize yes
  
  # When run as a daemon, Redis write a pid file in /var/run/redis.pid by default.
  # You can specify a custom pid file location here.
  pidfile <%= pid_file %>
  
  # Accept connections on the specified port, default is 6379
  port <%= port %>
  
  # If you want you can bind a single interface, if the bind option is not
  # specified all the interfaces will listen for connections.
  #
  # bind 127.0.0.1
  
  # Close the connection after a client is idle for N seconds (0 to disable)
  timeout 300
  
  # Set server verbosity to 'debug'
  # it can be one of:
  # debug (a lot of information, useful for development/testing)
  # notice (moderately verbose, what you want in production probably)
  # warning (only very important / critical messages are logged)
  loglevel debug
  
  # Specify the log file name. Also 'stdout' can be used to force
  # the demon to log on the standard output. Note that if you use standard
  # output for logging but daemonize, logs will be sent to /dev/null
  logfile <%= log_file %>
  
  # Set the number of databases. The default database is DB 0, you can select
  # a different one on a per-connection basis using SELECT <dbid> where
  # dbid is a number between 0 and 'databases'-1
  databases 16
  
  ################################ SNAPSHOTTING  #################################
  #
  # Save the DB on disk:
  #
  
negative.code: # This should stay commented out for backward compatibility and because most
  # people do not need auth (e.g. they run their own servers).
  #
  # Warning: since Redis is pretty fast an outside user can try up to
  # 150k passwords per second against a good box. This means that you should
  # use a very strong password otherwise it will be very easy to break.
  #
  # requirepass foobared
  
  # Command renaming.
  #
  # It is possible to change the name of dangerous commands in a shared
  # environment. For instance the CONFIG command may be renamed into something
  # hard to guess so that it will still be available for internal-use tools
  # but not available for general clients.
  #
  # Example:
  #
  # rename-command CONFIG b840fc02d524045429941cc15f59e41cb7be6c52
  #
  # It is also possible to completely kill a command by renaming it into
  # an empty string:
  #
  # rename-command CONFIG ""
  #
  # Please note that changing the name of commands that are logged into the
  # AOF file or transmitted to slaves may cause problems.
  
  ################################### LIMITS ####################################
  
  # Set the max number of connected clients at the same time. By default
  # this limit is set to 10000 clients, however if the Redis server is not
  # able to configure the process file limit to allow for the specified limit
  # the max number of allowed clients is set to the current file limit
  # minus 32 (as Redis reserves a few file descriptors for internal uses).
  #
  # Once the limit is reached Redis will close all the new connections sending
  # an error 'max number of clients reached'.
  #
  # maxclients 10000
  
  # Don't use more memory than the specified amount of bytes.
  # When the memory limit is reached Redis will try to remove keys
  # according to the eviction policy selected (see maxmemory-policy).
  #
  # If Redis can't remove keys according to the policy, or if the policy is
  # set to 'noeviction', Redis will start to reply with errors to commands
  # that would use more memory, like SET, LPUSH, and so on, and will continue
  # to reply to read-only commands like GET.
  #
  # This option is usually useful when using Redis as an LRU cache, or to set
  # a hard memory limit for an instance (using the 'noeviction' policy).
  #
  # WARNING: If you have slaves attached to an instance with maxmemory on,
  # the size of the output buffers needed to feed the slaves are subtracted
  # from the used memory count, so that network problems / resyncs will
  # not trigger a loop where keys are evicted, and in turn the output
  # buffer of slaves is full with DELs of keys evicted triggering the deletion
  # of more keys, and so forth until the database is completely emptied.
  #
  # In short... if you have slaves attached it is suggested that you set a lower
  # limit for maxmemory so that there is some free RAM on the system for slave
  # output buffers (but this is not needed if the policy is 'noeviction').
  #
  # maxmemory <bytes>
  
  # MAXMEMORY POLICY: how Redis will select what to remove when maxmemory
  # is reached. You can select among five behaviors:
  #
  # volatile-lru -> remove the key with an expire set using an LRU algorithm
  # allkeys-lru -> remove any key according 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 any of the above policies, Redis will return an error on write
  #       operations, when there are no suitable keys for eviction.
  #
  #       At the date of writing these 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. This mode is
  # good enough in many applications, but an issue with the Redis process or
  # a power outage may result into a few minutes of writes lost (depending on
  # the configured save points).
  #
  # The Append Only File is an alternative persistence mode that provides
  # much better durability. For instance using the default data fsync policy
  # (see later in the config file) Redis can lose just one second of writes in a
  # dramatic event like a server power outage, or a single write if something
  # wrong with the Redis process itself happens, but the operating system is
  # still running correctly.
  #
  # AOF and RDB persistence can be enabled at the same time without problems.
  # If the AOF is enabled on startup Redis will load the AOF, that is the file
  # with the better durability guarantees.
  #
  # Please check http://redis.io/topics/persistence for more information.
  
  appendonly yes
  
  # 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 of waiting 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 one time every second. Compromise.
  #
  # The default is "everysec", as 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 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.
  #
  # More details please check the following article:
  # http://antirez.com/post/redis-persistence-demystified.html
  #
  # 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". In practical terms, this means that it is
  # possible to lose 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
  
  # Automatic rewrite of the append only file.
  # Redis is able to automatically rewrite the log file implicitly calling
  # BGREWRITEAOF when the AOF log size grows by the specified percentage.
  #
  # This is how it works: Redis remembers the size of the AOF file after the
  # latest rewrite (if no rewrite has happened since the restart, the size of
  # the AOF at startup is used).
  #
  # This base size is compared to the current size. If the current size is
  # bigger than the specified percentage, the rewrite is triggered. Also
  # you need to specify a minimal size for the AOF file to be rewritten, this
  # is useful to avoid rewriting the AOF file even if the percentage increase
  # is reached but it is still pretty small.
  #
  # Specify a percentage of zero in order to disable the automatic AOF
  # rewrite feature.
  
  auto-aof-rewrite-percentage 100
  auto-aof-rewrite-min-size 64mb
  
  # An AOF file may be found to be truncated at the end during the Redis
  # startup process, when the AOF data gets loaded back into memory.
  # This may happen when the system where Redis is running
  # crashes, especially when an ext4 filesystem is mounted without the
  # data=ordered option (however this can't happen when Redis itself
  # crashes or aborts but the operating system still works correctly).
  #
  # Redis can either exit with an error when this happens, or load as much
  # data as possible (the default now) and start if the AOF file is found
  # to be truncated at the end. The following option controls this behavior.
  #
  # If aof-load-truncated is set to yes, a truncated AOF file is loaded and
  # the Redis server starts emitting a log to inform the user of the event.
  # Otherwise if the option is set to no, the server aborts with an error
  # and refuses to start. When the option is set to no, the user requires
  # to fix the AOF file using the "redis-check-aof" utility before to restart
  # the server.
  #
  # Note that if the AOF file will be found to be corrupted in the middle
  # the server will still exit with an error. This option only applies when
  # Redis will try to read more data from the AOF file but not enough bytes
  # will be found.
  aof-load-truncated yes
  
  ################################ LUA SCRIPTING  ###############################
  
  # Max execution time of a Lua script in milliseconds.
  #
  # If the maximum execution time is reached Redis will log that a script is
  # still in execution after the maximum allowed time and will start to
  # reply to queries with an error.
  #
  # When a long running script exceeds the maximum execution time only the
  # SCRIPT KILL and SHUTDOWN NOSAVE commands are available. The first can be
  # used to stop a script that did not yet called write commands. The second
  # is the only way to shut down the server in the case a write command was
  # already issued by the script but the user doesn't want to wait for the natural
  # termination of the script.
  #
  # Set it to 0 or a negative value for unlimited execution without warnings.
  lua-time-limit 5000
  
  ################################## SLOW LOG ###################################
  
  # The Redis Slow Log is a system to log queries that exceeded a specified
  # execution time. The execution time does not include the I/O operations
  # like talking with the client, sending the reply and so forth,
  # but just the time needed to actually execute the command (this is the only
  # stage of command execution where the thread is blocked and can not serve
  # other requests in the meantime).
  #
  # You can configure the slow log with two parameters: one tells Redis
  # what is the execution time, in microseconds, to exceed in order for the
  # command to get logged, and the other parameter is the length of the
  # slow log. When a new command is logged the oldest one is removed from the
  # queue of logged commands.
  
  # The following time is expressed in microseconds, so 1000000 is equivalent
  # to one second. Note that a negative number disables the slow log, while
  # a value of zero forces the logging of every command.
  slowlog-log-slower-than 10000
  
  # There is no limit to this length. Just be aware that it will consume memory.
  # You can reclaim memory used by the slow log with SLOWLOG RESET.
  slowlog-max-len 128
  
  ################################ LATENCY MONITOR ##############################
  
  # The Redis latency monitoring subsystem samples different operations
  # at runtime in order to collect data related to possible sources of
  # latency of a Redis instance.
  #
  # Via the LATENCY command this information is available to the user that can
  # print graphs and obtain reports.
  #
  # The system only logs operations that were performed in a time equal or
  # greater than the amount of milliseconds specified via the
  # latency-monitor-threshold configuration directive. When its value is set
  # to zero, the latency monitor is turned off.
  #
  # By default latency monitoring is disabled since it is mostly not needed
  # if you don't have latency issues, and collecting data has a performance
  # impact, that while very small, can be measured under big load. Latency
  # monitoring can easily be enalbed at runtime using the command
  # "CONFIG SET latency-monitor-threshold <milliseconds>" if needed.
  latency-monitor-threshold 0
  
  ############################# Event notification ##############################
  
  # Redis can notify Pub/Sub clients about events happening in the key space.
  # This feature is documented at http://redis.io/topics/notifications
  #
  # For instance if keyspace events notification is enabled, and a client
  # performs a DEL operation on key "foo" stored in the Database 0, two
  # messages will be published via Pub/Sub:
  #
  # PUBLISH __keyspace@0__:foo del
  # PUBLISH __keyevent@0__:del foo
  #
  # It is possible to select the events that Redis will notify among a set
  # of classes. Every class is identified by a single character:
  #
  #  K     Keyspace events, published with __keyspace@<db>__ prefix.
  #  E     Keyevent events, published with __keyevent@<db>__ prefix.
  #  g     Generic commands (non-type specific) like DEL, EXPIRE, RENAME, ...
  #  $     String commands
  #  l     List commands
  #  s     Set commands
  #  h     Hash commands
  #  z     Sorted set commands
  #  x     Expired events (events generated every time a key expires)
  #  e     Evicted events (events generated when a key is evicted for maxmemory)
  #  A     Alias for g$lshzxe, so that the "AKE" string means all the events.
  #
  #  The "notify-keyspace-events" takes as argument a string that is composed
  #  of zero or multiple characters. The empty string means that notifications
  #  are disabled.
  #
  #  Example: to enable list and generic events, from the point of view of the
  #           event name, use:
  #
  #  notify-keyspace-events Elg
  #
  #  Example 2: to get the stream of the expired keys subscribing to channel
  #             name __keyevent@0__:expired use:
  #
  #  notify-keyspace-events Ex
  #
  #  By default all notifications are disabled because most users don't need
  #  this feature and the feature has some overhead. Note that if you don't
  #  specify at least one of K or E, no events will be delivered.
  notify-keyspace-events ""
  
  ############################### ADVANCED CONFIG ###############################
  
  # Hashes are encoded using a memory efficient data structure when they have a
  # small number of entries, and the biggest entry does not exceed a given
  # threshold. These thresholds can be configured using the following directives.
  hash-max-ziplist-entries 512
  hash-max-ziplist-value 64
  
  # 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
  # you are under the following limits:
  list-max-ziplist-entries 512
  list-max-ziplist-value 64
  
  # Sets have a special encoding in just one case: when a set is composed
  # of just strings that happen to be integers in radix 10 in the range
  # of 64 bit signed integers.
  # The following configuration setting sets the limit in the size of the
  # set in order to use this special memory saving encoding.
  set-max-intset-entries 512
  
  # Similarly to hashes and lists, sorted sets are also specially encoded in
  # order to save a lot of space. This encoding is only used when the length and
  # elements of a sorted set are below the following limits:
  zset-max-ziplist-entries 128
  zset-max-ziplist-value 64
  
  # HyperLogLog sparse representation bytes limit. The limit includes the
  # 16 bytes header. When an HyperLogLog using the sparse representation crosses
  # this limit, it is converted into the dense representation.
  #
  # A value greater than 16000 is totally useless, since at that point the
  # dense representation is more memory efficient.
  #
  # The suggested value is ~ 3000 in order to have the benefits of
  # the space efficient encoding without slowing down too much PFADD,
  # which is O(N) with the sparse encoding. The value can be raised to
  # ~ 10000 when CPU is not a concern, but space is, and the data set is
  # composed of many HyperLogLogs with cardinality in the 0 - 15000 range.
  hll-sparse-max-bytes 3000
  
  # Active rehashing uses 1 millisecond every 100 milliseconds of CPU time in
  # 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 a hash table
  # 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.
  #
  # The default is to use this millisecond 10 times every second in order to
  # actively rehash the main dictionaries, freeing memory when possible.
  #
  # If unsure:
  # use "activerehashing no" if you have hard latency requirements and it is
  # not a good thing in your environment that Redis can reply from time to time
  # to queries with 2 milliseconds delay.
  #
  # use "activerehashing yes" if you don't have such hard requirements but
  # want to free memory asap when possible.
  activerehashing yes
  
  # The client output buffer limits can be used to force disconnection of clients
  # that are not reading data from the server fast enough for some reason (a
  # common reason is that a Pub/Sub client can't consume messages as fast as the
  # publisher can produce them).
  #
  # The limit can be set differently for the three different classes of clients:
  #
  # normal -> normal clients including MONITOR clients
  # slave  -> slave clients
  # pubsub -> clients subscribed to at least one pubsub channel or pattern
  #
  # The syntax of every client-output-buffer-limit directive is the following:
  #
  # client-output-buffer-limit <class> <hard limit> <soft limit> <soft seconds>
  #
  # A client is immediately disconnected once the hard limit is reached, or if
  # the soft limit is reached and remains reached for the specified number of
  # seconds (continuously).
  # So for instance if the hard limit is 32 megabytes and the soft limit is
  # 16 megabytes / 10 seconds, the client will get disconnected immediately
  # if the size of the output buffers reach 32 megabytes, but will also get
  # disconnected if the client reaches 16 megabytes and continuously overcomes
  # the limit for 10 seconds.
  #
  # By default normal clients are not limited because they don't receive data
  # without asking (in a push way), but just after a request, so only
  # asynchronous clients may create a scenario where data is requested faster
  # than it can read.
  #
  # Instead there is a default limit for pubsub and slave clients, since
  # subscribers and slaves receive data in a push fashion.
  #
  # Both the hard or the soft limit can be disabled by setting them to zero.
  client-output-buffer-limit normal 0 0 0
  client-output-buffer-limit slave 256mb 64mb 60
  client-output-buffer-limit pubsub 32mb 8mb 60
  
  # Redis calls an internal function to perform many background tasks, like
  # closing connections of clients in timeout, purging expired keys that are
  # never requested, and so forth.
  #
  # Not all tasks are performed with the same frequency, but Redis checks for
  # tasks to perform according to the specified "hz" value.
  #
  # By default "hz" is set to 10. Raising the value will use more CPU when
  # Redis is idle, but at the same time will make Redis more responsive when
  # there are many keys expiring at the same time, and timeouts may be
  # handled with more precision.
  #
  # The range is between 1 and 500, however a value over 100 is usually not
  # a good idea. Most users should use the default of 10 and raise this up to
  # 100 only in environments where very low latency is required.
  hz 10
  
  # When a child rewrites the AOF file, if the following option is enabled
  # the file will be fsync-ed every 32 MB of data generated. This is useful
  # in order to commit the file to the disk more incrementally and avoid
  # big latency spikes.
  aof-rewrite-incremental-fsync yes
  