Commit 7004507

mo khan <mo@mokhan.ca>
2021-07-29 22:15:08
add server configuration
1 parent e47e3f8
Changed files (1)
config/6380.conf
@@ -18,1370 +18,33 @@ sanitize-dump-payload no
 dbfilename 6380.rdb
 rdb-del-sync-files no
 dir ./db/
-
-# If the master is password protected (using the "requirepass" configuration
-# directive below) it is possible to tell the replica to authenticate before
-# starting the replication synchronization process, otherwise the master will
-# refuse the replica request.
-#
-# masterauth <master-password>
-#
-# However this is not enough if you are using Redis ACLs (for Redis version
-# 6 or greater), and the default user is not capable of running the PSYNC
-# command and/or other commands needed for replication. In this case it's
-# better to configure a special user to use with replication, and specify the
-# masteruser configuration as such:
-#
-# masteruser <username>
-#
-# When masteruser is specified, the replica will authenticate against its
-# master using the new AUTH form: AUTH <username> <password>.
-
-# When a replica loses its connection with the master, or when the replication
-# is still in progress, the replica can act in two different ways:
-#
-# 1) if replica-serve-stale-data is set to 'yes' (the default) the replica will
-#    still reply to client requests, possibly with out of date data, or the
-#    data set may just be empty if this is the first synchronization.
-#
-# 2) If replica-serve-stale-data is set to 'no' the replica will reply with
-#    an error "SYNC with master in progress" to all commands except:
-#    INFO, REPLICAOF, AUTH, PING, SHUTDOWN, REPLCONF, ROLE, CONFIG, SUBSCRIBE,
-#    UNSUBSCRIBE, PSUBSCRIBE, PUNSUBSCRIBE, PUBLISH, PUBSUB, COMMAND, POST,
-#    HOST and LATENCY.
-#
-replica-serve-stale-data yes
-
-# You can configure a replica instance to accept writes or not. Writing against
-# a replica instance may be useful to store some ephemeral data (because data
-# written on a replica will be easily deleted after resync with the master) but
-# may also cause problems if clients are writing to it because of a
-# misconfiguration.
-#
-# Since Redis 2.6 by default replicas are read-only.
-#
-# Note: read only replicas are not designed to be exposed to untrusted clients
-# on the internet. It's just a protection layer against misuse of the instance.
-# Still a read only replica exports by default all the administrative commands
-# such as CONFIG, DEBUG, and so forth. To a limited extent you can improve
-# security of read only replicas using 'rename-command' to shadow all the
-# administrative / dangerous commands.
-replica-read-only yes
-
-# Replication SYNC strategy: disk or socket.
-#
-# New replicas and reconnecting replicas that are not able to continue the
-# replication process just receiving differences, need to do what is called a
-# "full synchronization". An RDB file is transmitted from the master to the
-# replicas.
-#
-# The transmission can happen in two different ways:
-#
-# 1) Disk-backed: The Redis master creates a new process that writes the RDB
-#                 file on disk. Later the file is transferred by the parent
-#                 process to the replicas incrementally.
-# 2) Diskless: The Redis master creates a new process that directly writes the
-#              RDB file to replica sockets, without touching the disk at all.
-#
-# With disk-backed replication, while the RDB file is generated, more replicas
-# can be queued and served with the RDB file as soon as the current child
-# producing the RDB file finishes its work. With diskless replication instead
-# once the transfer starts, new replicas arriving will be queued and a new
-# transfer will start when the current one terminates.
-#
-# When diskless replication is used, the master waits a configurable amount of
-# time (in seconds) before starting the transfer in the hope that multiple
-# replicas will arrive and the transfer can be parallelized.
-#
-# With slow disks and fast (large bandwidth) networks, diskless replication
-# works better.
-repl-diskless-sync no
-
-# When diskless replication is enabled, it is possible to configure the delay
-# the server waits in order to spawn the child that transfers the RDB via socket
-# to the replicas.
-#
-# This is important since once the transfer starts, it is not possible to serve
-# new replicas arriving, that will be queued for the next RDB transfer, so the
-# server waits a delay in order to let more replicas arrive.
-#
-# The delay is specified in seconds, and by default is 5 seconds. To disable
-# it entirely just set it to 0 seconds and the transfer will start ASAP.
-repl-diskless-sync-delay 5
-
-# -----------------------------------------------------------------------------
-# WARNING: RDB diskless load is experimental. Since in this setup the replica
-# does not immediately store an RDB on disk, it may cause data loss during
-# failovers. RDB diskless load + Redis modules not handling I/O reads may also
-# cause Redis to abort in case of I/O errors during the initial synchronization
-# stage with the master. Use only if you know what you are doing.
-# -----------------------------------------------------------------------------
-#
-# Replica can load the RDB it reads from the replication link directly from the
-# socket, or store the RDB to a file and read that file after it was completely
-# received from the master.
-#
-# In many cases the disk is slower than the network, and storing and loading
-# the RDB file may increase replication time (and even increase the master's
-# Copy on Write memory and salve buffers).
-# However, parsing the RDB file directly from the socket may mean that we have
-# to flush the contents of the current database before the full rdb was
-# received. For this reason we have the following options:
-#
-# "disabled"    - Don't use diskless load (store the rdb file to the disk first)
-# "on-empty-db" - Use diskless load only when it is completely safe.
-# "swapdb"      - Keep a copy of the current db contents in RAM while parsing
-#                 the data directly from the socket. note that this requires
-#                 sufficient memory, if you don't have it, you risk an OOM kill.
-repl-diskless-load disabled
-
-# Replicas send PINGs to server in a predefined interval. It's possible to
-# change this interval with the repl_ping_replica_period option. The default
-# value is 10 seconds.
-#
-# repl-ping-replica-period 10
-
-# The following option sets the replication timeout for:
-#
-# 1) Bulk transfer I/O during SYNC, from the point of view of replica.
-# 2) Master timeout from the point of view of replicas (data, pings).
-# 3) Replica timeout from the point of view of masters (REPLCONF ACK pings).
-#
-# It is important to make sure that this value is greater than the value
-# specified for repl-ping-replica-period otherwise a timeout will be detected
-# every time there is low traffic between the master and the replica. The default
-# value is 60 seconds.
-#
-# repl-timeout 60
-
-# Disable TCP_NODELAY on the replica socket after SYNC?
-#
-# If you select "yes" Redis will use a smaller number of TCP packets and
-# less bandwidth to send data to replicas. But this can add a delay for
-# the data to appear on the replica side, up to 40 milliseconds with
-# Linux kernels using a default configuration.
-#
-# If you select "no" the delay for data to appear on the replica side will
-# be reduced but more bandwidth will be used for replication.
-#
-# By default we optimize for low latency, but in very high traffic conditions
-# or when the master and replicas are many hops away, turning this to "yes" may
-# be a good idea.
-repl-disable-tcp-nodelay no
-
-# Set the replication backlog size. The backlog is a buffer that accumulates
-# replica data when replicas are disconnected for some time, so that when a
-# replica wants to reconnect again, often a full resync is not needed, but a
-# partial resync is enough, just passing the portion of data the replica
-# missed while disconnected.
-#
-# The bigger the replication backlog, the longer the replica can endure the
-# disconnect and later be able to perform a partial resynchronization.
-#
-# The backlog is only allocated if there is at least one replica connected.
-#
-# repl-backlog-size 1mb
-
-# After a master has no connected replicas for some time, the backlog will be
-# freed. The following option configures the amount of seconds that need to
-# elapse, starting from the time the last replica disconnected, for the backlog
-# buffer to be freed.
-#
-# Note that replicas never free the backlog for timeout, since they may be
-# promoted to masters later, and should be able to correctly "partially
-# resynchronize" with other replicas: hence they should always accumulate backlog.
-#
-# A value of 0 means to never release the backlog.
-#
-# repl-backlog-ttl 3600
-
-# The replica priority is an integer number published by Redis in the INFO
-# output. It is used by Redis Sentinel in order to select a replica to promote
-# into a master if the master is no longer working correctly.
-#
-# A replica with a low priority number is considered better for promotion, so
-# for instance if there are three replicas with priority 10, 100, 25 Sentinel
-# will pick the one with priority 10, that is the lowest.
-#
-# However a special priority of 0 marks the replica as not able to perform the
-# role of master, so a replica with priority of 0 will never be selected by
-# Redis Sentinel for promotion.
-#
-# By default the priority is 100.
-replica-priority 100
-
-# -----------------------------------------------------------------------------
-# By default, Redis Sentinel includes all replicas in its reports. A replica
-# can be excluded from Redis Sentinel's announcements. An unannounced replica
-# will be ignored by the 'sentinel replicas <master>' command and won't be
-# exposed to Redis Sentinel's clients.
-#
-# This option does not change the behavior of replica-priority. Even with
-# replica-announced set to 'no', the replica can be promoted to master. To
-# prevent this behavior, set replica-priority to 0.
-#
-# replica-announced yes
-
-# It is possible for a master to stop accepting writes if there are less than
-# N replicas connected, having a lag less or equal than M seconds.
-#
-# The N replicas need to be in "online" state.
-#
-# The lag in seconds, that must be <= the specified value, is calculated from
-# the last ping received from the replica, that is usually sent every second.
-#
-# This option does not GUARANTEE that N replicas will accept the write, but
-# will limit the window of exposure for lost writes in case not enough replicas
-# are available, to the specified number of seconds.
-#
-# For example to require at least 3 replicas with a lag <= 10 seconds use:
-#
-# min-replicas-to-write 3
-# min-replicas-max-lag 10
-#
-# Setting one or the other to 0 disables the feature.
-#
-# By default min-replicas-to-write is set to 0 (feature disabled) and
-# min-replicas-max-lag is set to 10.
-
-# A Redis master is able to list the address and port of the attached
-# replicas in different ways. For example the "INFO replication" section
-# offers this information, which is used, among other tools, by
-# Redis Sentinel in order to discover replica instances.
-# Another place where this info is available is in the output of the
-# "ROLE" command of a master.
-#
-# The listed IP address and port normally reported by a replica is
-# obtained in the following way:
-#
-#   IP: The address is auto detected by checking the peer address
-#   of the socket used by the replica to connect with the master.
-#
-#   Port: The port is communicated by the replica during the replication
-#   handshake, and is normally the port that the replica is using to
-#   listen for connections.
-#
-# However when port forwarding or Network Address Translation (NAT) is
-# used, the replica may actually be reachable via different IP and port
-# pairs. The following two options can be used by a replica in order to
-# report to its master a specific set of IP and port, so that both INFO
-# and ROLE will report those values.
-#
-# There is no need to use both the options if you need to override just
-# the port or the IP address.
-#
-# replica-announce-ip 5.5.5.5
-# replica-announce-port 1234
-
-############################### KEYS TRACKING #################################
-
-# Redis implements server assisted support for client side caching of values.
-# This is implemented using an invalidation table that remembers, using
-# a radix key indexed by key name, what clients have which keys. In turn
-# this is used in order to send invalidation messages to clients. Please
-# check this page to understand more about the feature:
-#
-#   https://redis.io/topics/client-side-caching
-#
-# When tracking is enabled for a client, all the read only queries are assumed
-# to be cached: this will force Redis to store information in the invalidation
-# table. When keys are modified, such information is flushed away, and
-# invalidation messages are sent to the clients. However if the workload is
-# heavily dominated by reads, Redis could use more and more memory in order
-# to track the keys fetched by many clients.
-#
-# For this reason it is possible to configure a maximum fill value for the
-# invalidation table. By default it is set to 1M of keys, and once this limit
-# is reached, Redis will start to evict keys in the invalidation table
-# even if they were not modified, just to reclaim memory: this will in turn
-# force the clients to invalidate the cached values. Basically the table
-# maximum size is a trade off between the memory you want to spend server
-# side to track information about who cached what, and the ability of clients
-# to retain cached objects in memory.
-#
-# If you set the value to 0, it means there are no limits, and Redis will
-# retain as many keys as needed in the invalidation table.
-# In the "stats" INFO section, you can find information about the number of
-# keys in the invalidation table at every given moment.
-#
-# Note: when key tracking is used in broadcasting mode, no memory is used
-# in the server side so this setting is useless.
-#
-# tracking-table-max-keys 1000000
-
-################################## SECURITY ###################################
-
-# Warning: since Redis is pretty fast, an outside user can try up to
-# 1 million passwords per second against a modern box. This means that you
-# should use very strong passwords, otherwise they will be very easy to break.
-# Note that because the password is really a shared secret between the client
-# and the server, and should not be memorized by any human, the password
-# can be easily a long string from /dev/urandom or whatever, so by using a
-# long and unguessable password no brute force attack will be possible.
-
-# Redis ACL users are defined in the following format:
-#
-#   user <username> ... acl rules ...
-#
-# For example:
-#
-#   user worker +@list +@connection ~jobs:* on >ffa9203c493aa99
-#
-# The special username "default" is used for new connections. If this user
-# has the "nopass" rule, then new connections will be immediately authenticated
-# as the "default" user without the need of any password provided via the
-# AUTH command. Otherwise if the "default" user is not flagged with "nopass"
-# the connections will start in not authenticated state, and will require
-# AUTH (or the HELLO command AUTH option) in order to be authenticated and
-# start to work.
-#
-# The ACL rules that describe what a user can do are the following:
-#
-#  on           Enable the user: it is possible to authenticate as this user.
-#  off          Disable the user: it's no longer possible to authenticate
-#               with this user, however the already authenticated connections
-#               will still work.
-#  skip-sanitize-payload    RESTORE dump-payload sanitation is skipped.
-#  sanitize-payload         RESTORE dump-payload is sanitized (default).
-#  +<command>   Allow the execution of that command
-#  -<command>   Disallow the execution of that command
-#  +@<category> Allow the execution of all the commands in such category
-#               with valid categories are like @admin, @set, @sortedset, ...
-#               and so forth, see the full list in the server.c file where
-#               the Redis command table is described and defined.
-#               The special category @all means all the commands, but currently
-#               present in the server, and that will be loaded in the future
-#               via modules.
-#  +<command>|subcommand    Allow a specific subcommand of an otherwise
-#                           disabled command. Note that this form is not
-#                           allowed as negative like -DEBUG|SEGFAULT, but
-#                           only additive starting with "+".
-#  allcommands  Alias for +@all. Note that it implies the ability to execute
-#               all the future commands loaded via the modules system.
-#  nocommands   Alias for -@all.
-#  ~<pattern>   Add a pattern of keys that can be mentioned as part of
-#               commands. For instance ~* allows all the keys. The pattern
-#               is a glob-style pattern like the one of KEYS.
-#               It is possible to specify multiple patterns.
-#  allkeys      Alias for ~*
-#  resetkeys    Flush the list of allowed keys patterns.
-#  &<pattern>   Add a glob-style pattern of Pub/Sub channels that can be
-#               accessed by the user. It is possible to specify multiple channel
-#               patterns.
-#  allchannels  Alias for &*
-#  resetchannels            Flush the list of allowed channel patterns.
-#  ><password>  Add this password to the list of valid password for the user.
-#               For example >mypass will add "mypass" to the list.
-#               This directive clears the "nopass" flag (see later).
-#  <<password>  Remove this password from the list of valid passwords.
-#  nopass       All the set passwords of the user are removed, and the user
-#               is flagged as requiring no password: it means that every
-#               password will work against this user. If this directive is
-#               used for the default user, every new connection will be
-#               immediately authenticated with the default user without
-#               any explicit AUTH command required. Note that the "resetpass"
-#               directive will clear this condition.
-#  resetpass    Flush the list of allowed passwords. Moreover removes the
-#               "nopass" status. After "resetpass" the user has no associated
-#               passwords and there is no way to authenticate without adding
-#               some password (or setting it as "nopass" later).
-#  reset        Performs the following actions: resetpass, resetkeys, off,
-#               -@all. The user returns to the same state it has immediately
-#               after its creation.
-#
-# ACL rules can be specified in any order: for instance you can start with
-# passwords, then flags, or key patterns. However note that the additive
-# and subtractive rules will CHANGE MEANING depending on the ordering.
-# For instance see the following example:
-#
-#   user alice on +@all -DEBUG ~* >somepassword
-#
-# This will allow "alice" to use all the commands with the exception of the
-# DEBUG command, since +@all added all the commands to the set of the commands
-# alice can use, and later DEBUG was removed. However if we invert the order
-# of two ACL rules the result will be different:
-#
-#   user alice on -DEBUG +@all ~* >somepassword
-#
-# Now DEBUG was removed when alice had yet no commands in the set of allowed
-# commands, later all the commands are added, so the user will be able to
-# execute everything.
-#
-# Basically ACL rules are processed left-to-right.
-#
-# For more information about ACL configuration please refer to
-# the Redis web site at https://redis.io/topics/acl
-
-# ACL LOG
-#
-# The ACL Log tracks failed commands and authentication events associated
-# with ACLs. The ACL Log is useful to troubleshoot failed commands blocked 
-# by ACLs. The ACL Log is stored in memory. You can reclaim memory with 
-# ACL LOG RESET. Define the maximum entry length of the ACL Log below.
-acllog-max-len 128
-
-# Using an external ACL file
-#
-# Instead of configuring users here in this file, it is possible to use
-# a stand-alone file just listing users. The two methods cannot be mixed:
-# if you configure users here and at the same time you activate the external
-# ACL file, the server will refuse to start.
-#
-# The format of the external ACL user file is exactly the same as the
-# format that is used inside redis.conf to describe users.
-#
-# aclfile /etc/redis/users.acl
-
-# IMPORTANT NOTE: starting with Redis 6 "requirepass" is just a compatibility
-# layer on top of the new ACL system. The option effect will be just setting
-# the password for the default user. Clients will still authenticate using
-# AUTH <password> as usually, or more explicitly with AUTH default <password>
-# if they follow the new protocol: both will work.
-#
-# The requirepass is not compatable with aclfile option and the ACL LOAD
-# command, these will cause requirepass to be ignored.
-#
-# requirepass foobared
-
-# New users are initialized with restrictive permissions by default, via the
-# equivalent of this ACL rule 'off resetkeys -@all'. Starting with Redis 6.2, it
-# is possible to manage access to Pub/Sub channels with ACL rules as well. The
-# default Pub/Sub channels permission if new users is controlled by the 
-# acl-pubsub-default configuration directive, which accepts one of these values:
-#
-# allchannels: grants access to all Pub/Sub channels
-# resetchannels: revokes access to all Pub/Sub channels
-#
-# To ensure backward compatibility while upgrading Redis 6.0, acl-pubsub-default
-# defaults to the 'allchannels' permission.
-#
-# Future compatibility note: it is very likely that in a future version of Redis
-# the directive's default of 'allchannels' will be changed to 'resetchannels' in
-# order to provide better out-of-the-box Pub/Sub security. Therefore, it is
-# recommended that you explicitly define Pub/Sub permissions for all users
-# rather then rely on implicit default values. Once you've set explicit
-# Pub/Sub for all existing users, you should uncomment the following line.
-#
-# acl-pubsub-default resetchannels
-
-# Command renaming (DEPRECATED).
-#
-# ------------------------------------------------------------------------
-# WARNING: avoid using this option if possible. Instead use ACLs to remove
-# commands from the default user, and put them only in some admin user you
-# create for administrative purposes.
-# ------------------------------------------------------------------------
-#
-# 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 replicas may cause problems.
-
-################################### CLIENTS ####################################
-
-# 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'.
-#
-# IMPORTANT: When Redis Cluster is used, the max number of connections is also
-# shared with the cluster bus: every node in the cluster will use two
-# connections, one incoming and another outgoing. It is important to size the
-# limit accordingly in case of very large clusters.
-#
-# maxclients 10000
-
-############################## MEMORY MANAGEMENT ################################
-
-# Set a memory usage limit to 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 or LFU cache, or to
-# set a hard memory limit for an instance (using the 'noeviction' policy).
-#
-# WARNING: If you have replicas attached to an instance with maxmemory on,
-# the size of the output buffers needed to feed the replicas 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 replicas 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 replicas attached it is suggested that you set a lower
-# limit for maxmemory so that there is some free RAM on the system for replica
-# 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 one from the following behaviors:
-#
-# volatile-lru -> Evict using approximated LRU, only keys with an expire set.
-# allkeys-lru -> Evict any key using approximated LRU.
-# volatile-lfu -> Evict using approximated LFU, only keys with an expire set.
-# allkeys-lfu -> Evict any key using approximated LFU.
-# volatile-random -> Remove a random key having 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 evict anything, just return an error on write operations.
-#
-# LRU means Least Recently Used
-# LFU means Least Frequently Used
-#
-# Both LRU, LFU and volatile-ttl are implemented using approximated
-# randomized algorithms.
-#
-# Note: with any of the above policies, when there are no suitable keys for
-# eviction, Redis will return an error on write operations that require
-# more memory. These are usually commands that create new keys, add data or
-# modify existing keys. A few examples are: SET, INCR, HSET, LPUSH, SUNIONSTORE,
-# SORT (due to the STORE argument), and EXEC (if the transaction includes any
-# command that requires memory).
-#
-# The default is:
-#
-# maxmemory-policy noeviction
-
-# LRU, LFU and minimal TTL algorithms are not precise algorithms but approximated
-# algorithms (in order to save memory), so you can tune it for speed or
-# accuracy. By default Redis will check five keys and pick the one that was
-# used least recently, you can change the sample size using the following
-# configuration directive.
-#
-# The default of 5 produces good enough results. 10 Approximates very closely
-# true LRU but costs more CPU. 3 is faster but not very accurate.
-#
-# maxmemory-samples 5
-
-# Eviction processing is designed to function well with the default setting.
-# If there is an unusually large amount of write traffic, this value may need to
-# be increased.  Decreasing this value may reduce latency at the risk of 
-# eviction processing effectiveness
-#   0 = minimum latency, 10 = default, 100 = process without regard to latency
-#
-# maxmemory-eviction-tenacity 10
-
-# Starting from Redis 5, by default a replica will ignore its maxmemory setting
-# (unless it is promoted to master after a failover or manually). It means
-# that the eviction of keys will be just handled by the master, sending the
-# DEL commands to the replica as keys evict in the master side.
-#
-# This behavior ensures that masters and replicas stay consistent, and is usually
-# what you want, however if your replica is writable, or you want the replica
-# to have a different memory setting, and you are sure all the writes performed
-# to the replica are idempotent, then you may change this default (but be sure
-# to understand what you are doing).
-#
-# Note that since the replica by default does not evict, it may end using more
-# memory than the one set via maxmemory (there are certain buffers that may
-# be larger on the replica, or data structures may sometimes take more memory
-# and so forth). So make sure you monitor your replicas and make sure they
-# have enough memory to never hit a real out-of-memory condition before the
-# master hits the configured maxmemory setting.
-#
-# replica-ignore-maxmemory yes
-
-# Redis reclaims expired keys in two ways: upon access when those keys are
-# found to be expired, and also in background, in what is called the
-# "active expire key". The key space is slowly and interactively scanned
-# looking for expired keys to reclaim, so that it is possible to free memory
-# of keys that are expired and will never be accessed again in a short time.
-#
-# The default effort of the expire cycle will try to avoid having more than
-# ten percent of expired keys still in memory, and will try to avoid consuming
-# more than 25% of total memory and to add latency to the system. However
-# it is possible to increase the expire "effort" that is normally set to
-# "1", to a greater value, up to the value "10". At its maximum value the
-# system will use more CPU, longer cycles (and technically may introduce
-# more latency), and will tolerate less already expired keys still present
-# in the system. It's a tradeoff between memory, CPU and latency.
-#
-# active-expire-effort 1
-
-############################# LAZY FREEING ####################################
-
-# Redis has two primitives to delete keys. One is called DEL and is a blocking
-# deletion of the object. It means that the server stops processing new commands
-# in order to reclaim all the memory associated with an object in a synchronous
-# way. If the key deleted is associated with a small object, the time needed
-# in order to execute the DEL command is very small and comparable to most other
-# O(1) or O(log_N) commands in Redis. However if the key is associated with an
-# aggregated value containing millions of elements, the server can block for
-# a long time (even seconds) in order to complete the operation.
-#
-# For the above reasons Redis also offers non blocking deletion primitives
-# such as UNLINK (non blocking DEL) and the ASYNC option of FLUSHALL and
-# FLUSHDB commands, in order to reclaim memory in background. Those commands
-# are executed in constant time. Another thread will incrementally free the
-# object in the background as fast as possible.
-#
-# DEL, UNLINK and ASYNC option of FLUSHALL and FLUSHDB are user-controlled.
-# It's up to the design of the application to understand when it is a good
-# idea to use one or the other. However the Redis server sometimes has to
-# delete keys or flush the whole database as a side effect of other operations.
-# Specifically Redis deletes objects independently of a user call in the
-# following scenarios:
-#
-# 1) On eviction, because of the maxmemory and maxmemory policy configurations,
-#    in order to make room for new data, without going over the specified
-#    memory limit.
-# 2) Because of expire: when a key with an associated time to live (see the
-#    EXPIRE command) must be deleted from memory.
-# 3) Because of a side effect of a command that stores data on a key that may
-#    already exist. For example the RENAME command may delete the old key
-#    content when it is replaced with another one. Similarly SUNIONSTORE
-#    or SORT with STORE option may delete existing keys. The SET command
-#    itself removes any old content of the specified key in order to replace
-#    it with the specified string.
-# 4) During replication, when a replica performs a full resynchronization with
-#    its master, the content of the whole database is removed in order to
-#    load the RDB file just transferred.
-#
-# In all the above cases the default is to delete objects in a blocking way,
-# like if DEL was called. However you can configure each case specifically
-# in order to instead release memory in a non-blocking way like if UNLINK
-# was called, using the following configuration directives.
-
-lazyfree-lazy-eviction no
-lazyfree-lazy-expire no
-lazyfree-lazy-server-del no
-replica-lazy-flush no
-
-# It is also possible, for the case when to replace the user code DEL calls
-# with UNLINK calls is not easy, to modify the default behavior of the DEL
-# command to act exactly like UNLINK, using the following configuration
-# directive:
-
-lazyfree-lazy-user-del no
-
-# FLUSHDB, FLUSHALL, and SCRIPT FLUSH support both asynchronous and synchronous
-# deletion, which can be controlled by passing the [SYNC|ASYNC] flags into the
-# commands. When neither flag is passed, this directive will be used to determine
-# if the data should be deleted asynchronously.
-
-lazyfree-lazy-user-flush no
-
-################################ THREADED I/O #################################
-
-# Redis is mostly single threaded, however there are certain threaded
-# operations such as UNLINK, slow I/O accesses and other things that are
-# performed on side threads.
-#
-# Now it is also possible to handle Redis clients socket reads and writes
-# in different I/O threads. Since especially writing is so slow, normally
-# Redis users use pipelining in order to speed up the Redis performances per
-# core, and spawn multiple instances in order to scale more. Using I/O
-# threads it is possible to easily speedup two times Redis without resorting
-# to pipelining nor sharding of the instance.
-#
-# By default threading is disabled, we suggest enabling it only in machines
-# that have at least 4 or more cores, leaving at least one spare core.
-# Using more than 8 threads is unlikely to help much. We also recommend using
-# threaded I/O only if you actually have performance problems, with Redis
-# instances being able to use a quite big percentage of CPU time, otherwise
-# there is no point in using this feature.
-#
-# So for instance if you have a four cores boxes, try to use 2 or 3 I/O
-# threads, if you have a 8 cores, try to use 6 threads. In order to
-# enable I/O threads use the following configuration directive:
-#
-# io-threads 4
-#
-# Setting io-threads to 1 will just use the main thread as usual.
-# When I/O threads are enabled, we only use threads for writes, that is
-# to thread the write(2) syscall and transfer the client buffers to the
-# socket. However it is also possible to enable threading of reads and
-# protocol parsing using the following configuration directive, by setting
-# it to yes:
-#
-# io-threads-do-reads no
-#
-# Usually threading reads doesn't help much.
-#
-# NOTE 1: This configuration directive cannot be changed at runtime via
-# CONFIG SET. Aso this feature currently does not work when SSL is
-# enabled.
-#
-# NOTE 2: If you want to test the Redis speedup using redis-benchmark, make
-# sure you also run the benchmark itself in threaded mode, using the
-# --threads option to match the number of Redis threads, otherwise you'll not
-# be able to notice the improvements.
-
-############################ KERNEL OOM CONTROL ##############################
-
-# On Linux, it is possible to hint the kernel OOM killer on what processes
-# should be killed first when out of memory.
-#
-# Enabling this feature makes Redis actively control the oom_score_adj value
-# for all its processes, depending on their role. The default scores will
-# attempt to have background child processes killed before all others, and
-# replicas killed before masters.
-#
-# Redis supports three options:
-#
-# no:       Don't make changes to oom-score-adj (default).
-# yes:      Alias to "relative" see below.
-# absolute: Values in oom-score-adj-values are written as is to the kernel.
-# relative: Values are used relative to the initial value of oom_score_adj when
-#           the server starts and are then clamped to a range of -1000 to 1000.
-#           Because typically the initial value is 0, they will often match the
-#           absolute values.
-oom-score-adj no
-
-# When oom-score-adj is used, this directive controls the specific values used
-# for master, replica and background child processes. Values range -2000 to
-# 2000 (higher means more likely to be killed).
-#
-# Unprivileged processes (not root, and without CAP_SYS_RESOURCE capabilities)
-# can freely increase their value, but not decrease it below its initial
-# settings. This means that setting oom-score-adj to "relative" and setting the
-# oom-score-adj-values to positive values will always succeed.
-oom-score-adj-values 0 200 800
-
-
-#################### KERNEL transparent hugepage CONTROL ######################
-
-# Usually the kernel Transparent Huge Pages control is set to "madvise" or
-# or "never" by default (/sys/kernel/mm/transparent_hugepage/enabled), in which
-# case this config has no effect. On systems in which it is set to "always",
-# redis will attempt to disable it specifically for the redis process in order
-# to avoid latency problems specifically with fork(2) and CoW.
-# If for some reason you prefer to keep it enabled, you can set this config to
-# "no" and the kernel global to "always".
-
-disable-thp yes
-
-############################## 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 https://redis.io/topics/persistence for more information.
-
-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 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.
-
+maxclients 32
+maxmemory 33554432
+maxmemory-policy noeviction
+maxmemory-samples 3
+maxmemory-eviction-tenacity 0
+io-threads 1
+io-threads-do-reads no
+appendonly yes
+appendfilename "6380.aof"
+appendfsync no
 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
-
-# When rewriting the AOF file, Redis is able to use an RDB preamble in the
-# AOF file for faster rewrites and recoveries. When this option is turned
-# on the rewritten AOF file is composed of two different stanzas:
-#
-#   [RDB file][AOF tail]
-#
-# When loading, Redis recognizes that the AOF file starts with the "REDIS"
-# string and loads the prefixed RDB file, then continues loading the AOF
-# tail.
-aof-use-rdb-preamble 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 call any 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
-
-################################ REDIS CLUSTER  ###############################
-
-# Normal Redis instances can't be part of a Redis Cluster; only nodes that are
-# started as cluster nodes can. In order to start a Redis instance as a
-# cluster node enable the cluster support uncommenting the following:
-#
-# cluster-enabled yes
-
-# Every cluster node has a cluster configuration file. This file is not
-# intended to be edited by hand. It is created and updated by Redis nodes.
-# Every Redis Cluster node requires a different cluster configuration file.
-# Make sure that instances running in the same system do not have
-# overlapping cluster configuration file names.
-#
-# cluster-config-file nodes-6379.conf
-
-# Cluster node timeout is the amount of milliseconds a node must be unreachable
-# for it to be considered in failure state.
-# Most other internal time limits are a multiple of the node timeout.
-#
-# cluster-node-timeout 15000
-
-# A replica of a failing master will avoid to start a failover if its data
-# looks too old.
-#
-# There is no simple way for a replica to actually have an exact measure of
-# its "data age", so the following two checks are performed:
-#
-# 1) If there are multiple replicas able to failover, they exchange messages
-#    in order to try to give an advantage to the replica with the best
-#    replication offset (more data from the master processed).
-#    Replicas will try to get their rank by offset, and apply to the start
-#    of the failover a delay proportional to their rank.
-#
-# 2) Every single replica computes the time of the last interaction with
-#    its master. This can be the last ping or command received (if the master
-#    is still in the "connected" state), or the time that elapsed since the
-#    disconnection with the master (if the replication link is currently down).
-#    If the last interaction is too old, the replica will not try to failover
-#    at all.
-#
-# The point "2" can be tuned by user. Specifically a replica will not perform
-# the failover if, since the last interaction with the master, the time
-# elapsed is greater than:
-#
-#   (node-timeout * cluster-replica-validity-factor) + repl-ping-replica-period
-#
-# So for example if node-timeout is 30 seconds, and the cluster-replica-validity-factor
-# is 10, and assuming a default repl-ping-replica-period of 10 seconds, the
-# replica will not try to failover if it was not able to talk with the master
-# for longer than 310 seconds.
-#
-# A large cluster-replica-validity-factor may allow replicas with too old data to failover
-# a master, while a too small value may prevent the cluster from being able to
-# elect a replica at all.
-#
-# For maximum availability, it is possible to set the cluster-replica-validity-factor
-# to a value of 0, which means, that replicas will always try to failover the
-# master regardless of the last time they interacted with the master.
-# (However they'll always try to apply a delay proportional to their
-# offset rank).
-#
-# Zero is the only value able to guarantee that when all the partitions heal
-# the cluster will always be able to continue.
-#
-# cluster-replica-validity-factor 10
-
-# Cluster replicas are able to migrate to orphaned masters, that are masters
-# that are left without working replicas. This improves the cluster ability
-# to resist to failures as otherwise an orphaned master can't be failed over
-# in case of failure if it has no working replicas.
-#
-# Replicas migrate to orphaned masters only if there are still at least a
-# given number of other working replicas for their old master. This number
-# is the "migration barrier". A migration barrier of 1 means that a replica
-# will migrate only if there is at least 1 other working replica for its master
-# and so forth. It usually reflects the number of replicas you want for every
-# master in your cluster.
-#
-# Default is 1 (replicas migrate only if their masters remain with at least
-# one replica). To disable migration just set it to a very large value or
-# set cluster-allow-replica-migration to 'no'.
-# A value of 0 can be set but is useful only for debugging and dangerous
-# in production.
-#
-# cluster-migration-barrier 1
-
-# Turning off this option allows to use less automatic cluster configuration.
-# It both disables migration to orphaned masters and migration from masters
-# that became empty.
-#
-# Default is 'yes' (allow automatic migrations).
-#
-# cluster-allow-replica-migration yes
-
-# By default Redis Cluster nodes stop accepting queries if they detect there
-# is at least a hash slot uncovered (no available node is serving it).
-# This way if the cluster is partially down (for example a range of hash slots
-# are no longer covered) all the cluster becomes, eventually, unavailable.
-# It automatically returns available as soon as all the slots are covered again.
-#
-# However sometimes you want the subset of the cluster which is working,
-# to continue to accept queries for the part of the key space that is still
-# covered. In order to do so, just set the cluster-require-full-coverage
-# option to no.
-#
-# cluster-require-full-coverage yes
-
-# This option, when set to yes, prevents replicas from trying to failover its
-# master during master failures. However the replica can still perform a
-# manual failover, if forced to do so.
-#
-# This is useful in different scenarios, especially in the case of multiple
-# data center operations, where we want one side to never be promoted if not
-# in the case of a total DC failure.
-#
-# cluster-replica-no-failover no
-
-# This option, when set to yes, allows nodes to serve read traffic while the
-# the cluster is in a down state, as long as it believes it owns the slots. 
-#
-# This is useful for two cases.  The first case is for when an application 
-# doesn't require consistency of data during node failures or network partitions.
-# One example of this is a cache, where as long as the node has the data it
-# should be able to serve it. 
-#
-# The second use case is for configurations that don't meet the recommended  
-# three shards but want to enable cluster mode and scale later. A 
-# master outage in a 1 or 2 shard configuration causes a read/write outage to the
-# entire cluster without this option set, with it set there is only a write outage.
-# Without a quorum of masters, slot ownership will not change automatically. 
-#
-# cluster-allow-reads-when-down no
-
-# In order to setup your cluster make sure to read the documentation
-# available at https://redis.io web site.
-
-########################## CLUSTER DOCKER/NAT support  ########################
-
-# In certain deployments, Redis Cluster nodes address discovery fails, because
-# addresses are NAT-ted or because ports are forwarded (the typical case is
-# Docker and other containers).
-#
-# In order to make Redis Cluster working in such environments, a static
-# configuration where each node knows its public address is needed. The
-# following four options are used for this scope, and are:
-#
-# * cluster-announce-ip
-# * cluster-announce-port
-# * cluster-announce-tls-port
-# * cluster-announce-bus-port
-#
-# Each instructs the node about its address, client ports (for connections
-# without and with TLS) and cluster message bus port. The information is then
-# published in the header of the bus packets so that other nodes will be able to
-# correctly map the address of the node publishing the information.
-#
-# If cluster-tls is set to yes and cluster-announce-tls-port is omitted or set
-# to zero, then cluster-announce-port refers to the TLS port. Note also that
-# cluster-announce-tls-port has no effect if cluster-tls is set to no.
-#
-# If the above options are not used, the normal Redis Cluster auto-detection
-# will be used instead.
-#
-# Note that when remapped, the bus port may not be at the fixed offset of
-# clients port + 10000, so you can specify any port and bus-port depending
-# on how they get remapped. If the bus-port is not set, a fixed offset of
-# 10000 will be used as usual.
-#
-# Example:
-#
-# cluster-announce-ip 10.1.1.5
-# cluster-announce-tls-port 6379
-# cluster-announce-port 0
-# cluster-announce-bus-port 6380
-
-################################## 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 enabled at runtime using the command
-# "CONFIG SET latency-monitor-threshold <milliseconds>" if needed.
+aof-use-rdb-preamble no
+lua-time-limit 0
+cluster-enabled no
+slowlog-log-slower-than 1000000
+slowlog-max-len 8
 latency-monitor-threshold 0
-
-############################# EVENT NOTIFICATION ##############################
-
-# Redis can notify Pub/Sub clients about events happening in the key space.
-# This feature is documented at https://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)
-#  t     Stream commands
-#  d     Module key type events
-#  m     Key-miss events (Note: It is not included in the 'A' class)
-#  A     Alias for g$lshzxetd, so that the "AKE" string means all the events
-#        (Except key-miss events which are excluded from 'A' due to their
-#         unique nature).
-#
-#  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 ""
-
-############################### GOPHER SERVER #################################
-
-# Redis contains an implementation of the Gopher protocol, as specified in
-# the RFC 1436 (https://www.ietf.org/rfc/rfc1436.txt).
-#
-# The Gopher protocol was very popular in the late '90s. It is an alternative
-# to the web, and the implementation both server and client side is so simple
-# that the Redis server has just 100 lines of code in order to implement this
-# support.
-#
-# What do you do with Gopher nowadays? Well Gopher never *really* died, and
-# lately there is a movement in order for the Gopher more hierarchical content
-# composed of just plain text documents to be resurrected. Some want a simpler
-# internet, others believe that the mainstream internet became too much
-# controlled, and it's cool to create an alternative space for people that
-# want a bit of fresh air.
-#
-# Anyway for the 10nth birthday of the Redis, we gave it the Gopher protocol
-# as a gift.
-#
-# --- HOW IT WORKS? ---
-#
-# The Redis Gopher support uses the inline protocol of Redis, and specifically
-# two kind of inline requests that were anyway illegal: an empty request
-# or any request that starts with "/" (there are no Redis commands starting
-# with such a slash). Normal RESP2/RESP3 requests are completely out of the
-# path of the Gopher protocol implementation and are served as usual as well.
-#
-# If you open a connection to Redis when Gopher is enabled and send it
-# a string like "/foo", if there is a key named "/foo" it is served via the
-# Gopher protocol.
-#
-# In order to create a real Gopher "hole" (the name of a Gopher site in Gopher
-# talking), you likely need a script like the following:
-#
-#   https://github.com/antirez/gopher2redis
-#
-# --- SECURITY WARNING ---
-#
-# If you plan to put Redis on the internet in a publicly accessible address
-# to server Gopher pages MAKE SURE TO SET A PASSWORD to the instance.
-# Once a password is set:
-#
-#   1. The Gopher server (when enabled, not by default) will still serve
-#      content via Gopher.
-#   2. However other commands cannot be called before the client will
-#      authenticate.
-#
-# So use the 'requirepass' option to protect your instance.
-#
-# Note that Gopher is not currently supported when 'io-threads-do-reads'
-# is enabled.
-#
-# To enable Gopher support, uncomment the following line and set the option
-# from no (the default) to yes.
-#
-# gopher-enabled no
-
-############################### 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
-
-# Lists are also encoded in a special way to save a lot of space.
-# The number of entries allowed per internal list node can be specified
-# as a fixed maximum size or a maximum number of elements.
-# For a fixed maximum size, use -5 through -1, meaning:
-# -5: max size: 64 Kb  <-- not recommended for normal workloads
-# -4: max size: 32 Kb  <-- not recommended
-# -3: max size: 16 Kb  <-- probably not recommended
-# -2: max size: 8 Kb   <-- good
-# -1: max size: 4 Kb   <-- good
-# Positive numbers mean store up to _exactly_ that number of elements
-# per list node.
-# The highest performing option is usually -2 (8 Kb size) or -1 (4 Kb size),
-# but if your use case is unique, adjust the settings as necessary.
-list-max-ziplist-size -2
-
-# Lists may also be compressed.
-# Compress depth is the number of quicklist ziplist nodes from *each* side of
-# the list to *exclude* from compression.  The head and tail of the list
-# are always uncompressed for fast push/pop operations.  Settings are:
-# 0: disable all list compression
-# 1: depth 1 means "don't start compressing until after 1 node into the list,
-#    going from either the head or tail"
-#    So: [head]->node->node->...->node->[tail]
-#    [head], [tail] will always be uncompressed; inner nodes will compress.
-# 2: [head]->[next]->node->node->...->node->[prev]->[tail]
-#    2 here means: don't compress head or head->next or tail->prev or tail,
-#    but compress all nodes between them.
-# 3: [head]->[next]->[next]->node->node->...->node->[prev]->[prev]->[tail]
-# etc.
+gopher-enabled no
 list-compress-depth 0
-
-# 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
-
-# Streams macro node max size / items. The stream data structure is a radix
-# tree of big nodes that encode multiple items inside. Using this configuration
-# it is possible to configure how big a single node can be in bytes, and the
-# maximum number of items it may contain before switching to a new node when
-# appending new stream entries. If any of the following settings are set to
-# zero, the limit is ignored, so for instance it is possible to set just a
-# max entries limit by setting max-bytes to 0 and max-entries to the desired
-# value.
-stream-node-max-bytes 4096
-stream-node-max-entries 100
-
-# 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
-# replica  -> replica 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 replica clients, since
-# subscribers and replicas receive data in a push fashion.
-#
-# Both the hard or the soft limit can be disabled by setting them to zero.
+activerehashing no
 client-output-buffer-limit normal 0 0 0
-client-output-buffer-limit replica 256mb 64mb 60
-client-output-buffer-limit pubsub 32mb 8mb 60
+client-output-buffer-limit replica 0 0 0
+client-output-buffer-limit pubsub 0 0 0
 
 # Client query buffers accumulate new commands. They are limited to a fixed
 # amount by default in order to avoid that a protocol desynchronization (for