linux自动登录

linux免密码自动登录,需要先安装expect

sudo apt-get install expect

新建脚本:l
赋给执行权限

chmod 755 l

脚本代码:
#!/usr/bin/expect

set host1 主机ip1 
set host2 主机ip2
set name 账户名
set password1 密码
set password2 密码

set timeout 20

set ip [lindex $argv 0]
if { $ip == 1 } {
    spawn ssh $name@$host1
        expect "*assword:"
        send "$password1\r"
        interact
} else {
    spawn ssh $name@$host2
        expect "*assword:"
        send "$password2\r"
        interact
}

redis配置文件详解(转)

# redis 配置文件示例

# 当你需要为某个配置项指定内存大小的时候,必须要带上单位,
# 通常的格式就是 1k 5gb 4m 等酱紫:
#
# 1k  => 1000 bytes
# 1kb => 1024 bytes
# 1m  => 1000000 bytes
# 1mb => 1024*1024 bytes
# 1g  => 1000000000 bytes
# 1gb => 1024*1024*1024 bytes
#
# 单位是不区分大小写的,你写 1K 5GB 4M 也行

################################## INCLUDES ###################################

# 假如说你有一个可用于所有的 redis server 的标准配置模板,
# 但针对某些 server 又需要一些个性化的设置,
# 你可以使用 include 来包含一些其他的配置文件,这对你来说是非常有用的。
#
# 但是要注意哦,include 是不能被 config rewrite 命令改写的
# 由于 redis 总是以最后的加工线作为一个配置指令值,所以你最好是把 include 放在这个文件的最前面,
# 以避免在运行时覆盖配置的改变,相反,你就把它放在后面(外国人真啰嗦)。
#
# include /path/to/local.conf
# include /path/to/other.conf

################################ 常用 #####################################

# 默认情况下 redis 不是作为守护进程运行的,如果你想让它在后台运行,你就把它改成 yes。
# 当redis作为守护进程运行的时候,它会写一个 pid 到 /var/run/redis.pid 文件里面。
daemonize no

# 当redis作为守护进程运行的时候,它会把 pid 默认写到 /var/run/redis.pid 文件里面,
# 但是你可以在这里自己制定它的文件位置。
pidfile /var/run/redis.pid

# 监听端口号,默认为 6379,如果你设为 0 ,redis 将不在 socket 上监听任何客户端连接。
port 6379

# TCP 监听的最大容纳数量
#
# 在高并发的环境下,你需要把这个值调高以避免客户端连接缓慢的问题。
# Linux 内核会一声不响的把这个值缩小成 /proc/sys/net/core/somaxconn 对应的值,
# 所以你要修改这两个值才能达到你的预期。
tcp-backlog 511

# 默认情况下,redis 在 server 上所有有效的网络接口上监听客户端连接。
# 你如果只想让它在一个网络接口上监听,那你就绑定一个IP或者多个IP。
#
# 示例,多个IP用空格隔开:
#
# bind 192.168.1.100 10.0.0.1
# bind 127.0.0.1

# 指定 unix socket 的路径。
#
# unixsocket /tmp/redis.sock
# unixsocketperm 755

# 指定在一个 client 空闲多少秒之后关闭连接(0 就是不管它)
timeout 0

# tcp 心跳包。
#
# 如果设置为非零,则在与客户端缺乏通讯的时候使用 SO_KEEPALIVE 发送 tcp acks 给客户端。
# 这个之所有有用,主要由两个原因:
#
# 1) 防止死的 peers
# 2) Take the connection alive from the point of view of network
#    equipment in the middle.
#
# On Linux, the specified value (in seconds) is the period used to send ACKs.
# Note that to close the connection the double of the time is needed.
# On other kernels the period depends on the kernel configuration.
#
# A reasonable value for this option is 60 seconds.
# 推荐一个合理的值就是60秒
tcp-keepalive 0

# 定义日志级别。
# 可以是下面的这些值:
# debug (适用于开发或测试阶段)
# verbose (many rarely useful info, but not a mess like the debug level)
# notice (适用于生产环境)
# warning (仅仅一些重要的消息被记录)
loglevel notice

# 指定日志文件的位置
logfile ""

# 要想把日志记录到系统日志,就把它改成 yes,
# 也可以可选择性的更新其他的syslog 参数以达到你的要求
# syslog-enabled no

# 设置 syslog 的 identity。
# syslog-ident redis

# 设置 syslog 的 facility,必须是 USER 或者是 LOCAL0-LOCAL7 之间的值。
# syslog-facility local0

# 设置数据库的数目。
# 默认数据库是 DB 0,你可以在每个连接上使用 select <dbid> 命令选择一个不同的数据库,
# 但是 dbid 必须是一个介于 0 到 databasees - 1 之间的值
databases 16

################################ 快照 ################################
#
# 存 DB 到磁盘:
#
#   格式:save <间隔时间(秒)> <写入次数>
#
#   根据给定的时间间隔和写入次数将数据保存到磁盘
#
#   下面的例子的意思是:
#   900 秒后如果至少有 1 个 key 的值变化,则保存
#   300 秒后如果至少有 10 个 key 的值变化,则保存
#   60 秒后如果至少有 10000 个 key 的值变化,则保存
#
#   注意:你可以注释掉所有的 save 行来停用保存功能。
#   也可以直接一个空字符串来实现停用:
#   save ""

save 900 1
save 300 10
save 60 10000

# 默认情况下,如果 redis 最后一次的后台保存失败,redis 将停止接受写操作,
# 这样以一种强硬的方式让用户知道数据不能正确的持久化到磁盘,
# 否则就会没人注意到灾难的发生。
#
# 如果后台保存进程重新启动工作了,redis 也将自动的允许写操作。
#
# 然而你要是安装了靠谱的监控,你可能不希望 redis 这样做,那你就改成 no 好了。
stop-writes-on-bgsave-error yes

# 是否在 dump .rdb 数据库的时候使用 LZF 压缩字符串
# 默认都设为 yes
# 如果你希望保存子进程节省点 cpu ,你就设置它为 no ,
# 不过这个数据集可能就会比较大
rdbcompression yes

# 是否校验rdb文件
rdbchecksum yes

# 设置 dump 的文件位置
dbfilename dump.rdb

# 工作目录
# 例如上面的 dbfilename 只指定了文件名,
# 但是它会写入到这个目录下。这个配置项一定是个目录,而不能是文件名。
dir ./

################################# 主从复制 #################################

# 主从复制。使用 slaveof 来让一个 redis 实例成为另一个reids 实例的副本。
# 注意这个只需要在 slave 上配置。
#
# slaveof <masterip> <masterport>

# 如果 master 需要密码认证,就在这里设置
# masterauth <master-password>

# 当一个 slave 与 master 失去联系,或者复制正在进行的时候,
# slave 可能会有两种表现:
#
# 1) 如果为 yes ,slave 仍然会应答客户端请求,但返回的数据可能是过时,
#    或者数据可能是空的在第一次同步的时候
#
# 2) 如果为 no ,在你执行除了 info he salveof 之外的其他命令时,
#    slave 都将返回一个 "SYNC with master in progress" 的错误,
#
slave-serve-stale-data yes

# 你可以配置一个 slave 实体是否接受写入操作。
# 通过写入操作来存储一些短暂的数据对于一个 slave 实例来说可能是有用的,
# 因为相对从 master 重新同步数而言,据数据写入到 slave 会更容易被删除。
# 但是如果客户端因为一个错误的配置写入,也可能会导致一些问题。
#
# 从 redis 2.6 版起,默认 slaves 都是只读的。
#
# Note: read only slaves 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 slave 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 slaves using 'rename-command' to shadow all the
# administrative / dangerous commands.
# 注意:只读的 slaves 没有被设计成在 internet 上暴露给不受信任的客户端。
# 它仅仅是一个针对误用实例的一个保护层。
slave-read-only yes

# Slaves 在一个预定义的时间间隔内发送 ping 命令到 server 。
# 你可以改变这个时间间隔。默认为 10 秒。
#
# repl-ping-slave-period 10

# The following option sets the replication timeout for:
# 设置主从复制过期时间
#
# 1) Bulk transfer I/O during SYNC, from the point of view of slave.
# 2) Master timeout from the point of view of slaves (data, pings).
# 3) Slave 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-slave-period otherwise a timeout will be detected
# every time there is low traffic between the master and the slave.
# 这个值一定要比 repl-ping-slave-period 大
#
# repl-timeout 60

# Disable TCP_NODELAY on the slave socket after SYNC?
#
# If you select "yes" Redis will use a smaller number of TCP packets and
# less bandwidth to send data to slaves. But this can add a delay for
# the data to appear on the slave side, up to 40 milliseconds with
# Linux kernels using a default configuration.
#
# If you select "no" the delay for data to appear on the slave 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 slaves are many hops away, turning this to "yes" may
# be a good idea.
repl-disable-tcp-nodelay no

# 设置主从复制容量大小。这个 backlog 是一个用来在 slaves 被断开连接时
# 存放 slave 数据的 buffer,所以当一个 slave 想要重新连接,通常不希望全部重新同步,
# 只是部分同步就够了,仅仅传递 slave 在断开连接时丢失的这部分数据。
#
# The biggest the replication backlog, the longer the time the slave can be
# disconnected and later be able to perform a partial resynchronization.
# 这个值越大,salve 可以断开连接的时间就越长。
#
# The backlog is only allocated once there is at least a slave connected.
#
# repl-backlog-size 1mb

# After a master has no longer connected slaves 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 slave disconnected, for
# the backlog buffer to be freed.
# 在某些时候,master 不再连接 slaves,backlog 将被释放。
#
# A value of 0 means to never release the backlog.
# 如果设置为 0 ,意味着绝不释放 backlog 。
#
# repl-backlog-ttl 3600

# 当 master 不能正常工作的时候,Redis Sentinel 会从 slaves 中选出一个新的 master,
# 这个值越小,就越会被优先选中,但是如果是 0 , 那是意味着这个 slave 不可能被选中。
#
# 默认优先级为 100。
slave-priority 100

# It is possible for a master to stop accepting writes if there are less than
# N slaves connected, having a lag less or equal than M seconds.
#
# The N slaves 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 slave, that is usually sent every second.
#
# This option does not GUARANTEES that N replicas will accept the write, but
# will limit the window of exposure for lost writes in case not enough slaves
# are available, to the specified number of seconds.
#
# For example to require at least 3 slaves with a lag <= 10 seconds use:
#
# min-slaves-to-write 3
# min-slaves-max-lag 10
#
# Setting one or the other to 0 disables the feature.
#
# By default min-slaves-to-write is set to 0 (feature disabled) and
# min-slaves-max-lag is set to 10.

################################## 安全 ###################################

# Require clients to issue AUTH <PASSWORD> before processing any other
# commands.  This might be useful in environments in which you do not trust
# others with access to the host running redis-server.
#
# 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.
# 
# 设置认证密码
# 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.

################################### 限制 ####################################

# 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).
#
# 一旦达到最大限制,redis 将关闭所有的新连接
# 并发送一个‘max number of clients reached’的错误。
#
# maxclients 10000

# 如果你设置了这个值,当缓存的数据容量达到这个值, redis 将根据你选择的
# eviction 策略来移除一些 keys。
#
# 如果 redis 不能根据策略移除 keys ,或者是策略被设置为 ‘noeviction’,
# redis 将开始响应错误给命令,如 set,lpush 等等,
# 并继续响应只读的命令,如 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').
#
# 最大使用内存
# maxmemory <bytes>

# 最大内存策略,你有 5 个选择。
# 
# volatile-lru -> remove the key with an expire set using an LRU algorithm
# volatile-lru -> 使用 LRU 算法移除包含过期设置的 key 。
# allkeys-lru -> remove any key accordingly to the LRU algorithm
# allkeys-lru -> 根据 LRU 算法移除所有的 key 。
# 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
# noeviction -> 不让任何 key 过期,只是给写入操作返回一个错误
# 
# Note: with any of the above policies, Redis will return an error on write
#       operations, when there are not suitable keys for eviction.
#
#       At the date of writing this commands are: set setnx setex append
#       incr decr rpush lpush rpushx lpushx linsert lset rpoplpush sadd
#       sinter sinterstore sunion sunionstore sdiff sdiffstore zadd zincrby
#       zunionstore zinterstore hset hsetnx hmset hincrby incrby decrby
#       getset mset msetnx exec sort
#
# The default is:
#
# maxmemory-policy noeviction

# LRU 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. For default Redis will check five keys and pick the one that was
# used less 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 a bit more CPU. 3 is very fast but not very accurate.
#
# maxmemory-samples 5

############################## 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 no

# The name of the append only file (default: "appendonly.aof")

appendfilename "appendonly.aof"

# The fsync() call tells the Operating System to actually write data on disk
# instead to wait for more data in the output buffer. Some OS will really flush 
# data on disk, some other OS will just try to do it ASAP.
#
# Redis supports three different modes:
#
# no: don't fsync, just let the OS flush the data when it wants. Faster.
# always: fsync after every write to the append only log . Slow, Safest.
# everysec: fsync only 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

################################ 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 exceed 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 commands was
# already issue by the script but the user don'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 集群  ###############################
#
# 启用或停用集群
# 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 does 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 multiple of the node timeout.
#
# cluster-node-timeout 15000

# A slave of a failing master will avoid to start a failover if its data
# looks too old.
#
# There is no simple way for a slave to actually have a exact measure of
# its "data age", so the following two checks are performed:
#
# 1) If there are multiple slaves able to failover, they exchange messages
#    in order to try to give an advantage to the slave with the best
#    replication offset (more data from the master processed).
#    Slaves 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 slave 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 slave will not try to failover
#    at all.
#
# The point "2" can be tuned by user. Specifically a slave will not perform
# the failover if, since the last interaction with the master, the time
# elapsed is greater than:
#
#   (node-timeout * slave-validity-factor) + repl-ping-slave-period
#
# So for example if node-timeout is 30 seconds, and the slave-validity-factor
# is 10, and assuming a default repl-ping-slave-period of 10 seconds, the
# slave will not try to failover if it was not able to talk with the master
# for longer than 310 seconds.
#
# A large slave-validity-factor may allow slaves with too old data to failover
# a master, while a too small value may prevent the cluster from being able to
# elect a slave at all.
#
# For maximum availability, it is possible to set the slave-validity-factor
# to a value of 0, which means, that slaves 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-slave-validity-factor 10

# Cluster slaves are able to migrate to orphaned masters, that are masters
# that are left without working slaves. 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 slaves.
#
# Slaves migrate to orphaned masters only if there are still at least a
# given number of other working slaves for their old master. This number
# is the "migration barrier". A migration barrier of 1 means that a slave
# will migrate only if there is at least 1 other working slave for its master
# and so forth. It usually reflects the number of slaves you want for every
# master in your cluster.
#
# Default is 1 (slaves migrate only if their masters remain with at least
# one slave). To disable migration just set it to a very large value.
# A value of 0 can be set but is useful only for debugging and dangerous
# in production.
#
# cluster-migration-barrier 1

# In order to setup your cluster make sure to read the documentation
# available at http://redis.io web site.

################################## 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

############################# Event notification ##############################

# Redis can notify Pub/Sub clients about events happening in the key space.
# This feature is documented at http://redis.io/topics/keyspace-events
# 
# 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
#  by zero or multiple characters. The empty string means that notifications
#  are disabled at all.
#
#  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 happens 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
# active rehashing 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 form 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
# slave  -> slave clients and MONITOR 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 accordingly 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

原文地址:https://github.com/linli8/cnblogs/blob/master/redis%E5%89%AF%E6%9C%AC.conf

lnmp1.2 安装typecho遇到的问题

1.安装成功后,除了首页外,其他页面404

#确保包含typecho.conf
include typecho.conf;
#error_page 404 /404.html;
location ~ [^/].php(/|$)
{
# comment try_files $uri =404; to enable pathinfo
# 如果想起用pathinfo,注释try_files $uri =404
#try_files $uri =404;
fastcgi_pass unix:/tmp/php-cgi.sock;
fastcgi_index index.php;
include fastcgi.conf;
#include pathinfo.conf;
}

2.设置完pathinfo后,在登录输入账户密码后,跳转页面访问出现Access denied
找到php.ini的cgi.fix_pathinfo把它的值设为1

cgi.fix_pathinfo = 1

重启服务

参考文章:
http://www.yimiju.com/articles/593.html
http://segmentfault.com/q/1010000000725179

《PHP扩展开发中文教程(PHP和Zend起步)》笔记(一)

如何在扩展中接受参数?

例程:

PHP_FUNCTION(myname)
{
    char *name = NULL;
 
    if (zend_parse_parameters(ZEND_NUM_ARGS() TSRMLS_CC, "s", &name) == FAILURE) {
        return ;
    }
    php_sprintf('my name is %s\n' , name);
    RETURN_TRUE;
}

zend_parse_parameters()解析:
1.ZEND_NUM_ARGS() 告诉Zend引擎要取得的参数的信息
2.TSRMLS_CC 用来确保线程安全,返回值将被检查是 SUCCESS 还是 FAILURE
3."s" 表示参数的类型
4.&name 表示参数

多参数和可选参数说明
多参数
要传递时 :"s" 改为"lld"(表示2个long型参数,1个double参数。具体根据具体情况添加),对应的参数放在&name后
可选参数 :即为"ll|d"(表示2个long型必填,1个double型可选),对应的参数放在&name后

类型和用在zend_parse_parameters()中的字母代码

类型             代码            变量类型
Boolean          b              zend_bool
Long             l              long
Double           d              double
String           s              char*, int
Resource         r              zval*
Array            a              zval*
Object           o              zval*
zval             z              zval*

我在php扩展迈出的第一步

这两天研究php扩展,今天终于把创建扩展的流程搞清楚了。
环境:

  • 系统 : ubuntu 14.0.4
  • php : 5.5.29

开始之前我们需要下载php的源码包,解压

做完这些就可以开始了,首先看一下我的路径

sunl@fa-pc:/usr/local/server/php-5.5.29$ pwd
/usr/local/server/php-5.5.29

进入这个文件夹,然后进入ext

sunl@fa-pc:/usr/local/server/php-5.5.29$ cd ext/

这里有一个名为ext_skel的可执行文件,然后执行如下命令(myname是你的扩展名称)

sunl@fa-pc:/usr/local/server/php-5.5.29/ext$ sudo ./ext_skel --extname=myname

这时候会在ext下生成myname文件夹
其中的文件有:

sunl@fa-pc:/usr/local/server/php-5.5.29/ext/myname$ ls
config.m4  config.w32  CREDITS  EXPERIMENTAL  myname.c  myname.php  php_myname.h  tests

这里要修改的文件有config.m4,myname.c,php_myname.h
config.m4:

 16 dnl PHP_ARG_ENABLE(myname, whether to enable myname support,
 17 dnl Make sure that the comment is aligned:
 18 dnl [  --enable-myname           Enable myname support])

将dnl去掉
myname.c:

 41 const zend_function_entry myname_functions[] = {
 42     PHP_FE(confirm_myname_compiled, NULL)       /* For testing, remove later. */
 43     PHP_FE_END  /* Must be the last line in myname_functions[] */
 44 };

将PHP_FE中的confirm_myname_compiled改为自己的函数名

154 PHP_FUNCTION(confirm_myname_compiled)
155 {
156     char *arg = NULL;
157     int arg_len, len;
158     char *strg;
159 
160     if (zend_parse_parameters(ZEND_NUM_ARGS() TSRMLS_CC, "s", &arg, &arg_len) == FAILURE) {
161         return;
162     }
163 
164     len = spprintf(&strg, 0, "Congratulations! You have successfully modified ext/%.78s/config.m4. Module %.78s is now compiled into PHP.", "myname    ", arg);
165     RETURN_STRINGL(strg, len, 0);
166 }

改成

154 PHP_FUNCTION(myname)
155 {
156     char *arg = NULL;
157     int arg_len, len;
158     char *strg;
159 
160     if (zend_parse_parameters(ZEND_NUM_ARGS() TSRMLS_CC, "s", &arg, &arg_len) == FAILURE) {
161         return;
162     }
163 
164     php_printf("Hello World!\n");//这里我之前用spprintf一直没有成功,又看到的朋友知道的话,通知一下我
165     RETURN_TRUE;
166 }

php_myname.h:
改成
47 PHP_FUNCTION(myname); /* For testing, remove later. */

文件修改完成。

接下来我们要执行的是

sunl@fa-pc:/usr/local/server/php-5.5.29/ext/myname$ sudo /usr/local/php/bin/phpize

sunl@fa-pc:/usr/local/server/php-5.5.29/ext/myname$ sudo ./configure --with-php-config=/usr/local/php/bin/php-config
sunl@fa-pc:/usr/local/server/php-5.5.29/ext/myname$ sudo make

最后会在myname文件夹下看见有:

sunl@fa-pc:/usr/local/server/php-5.5.29/ext/myname$ ls modules/
myname.la  myname.so

将myname.so放到你的php扩展下,重启服务

vim配置php

最近换ubuntu了,我是菜鸟vim一直搞不定,经过组长的帮助给了我一个配置,感觉挺好。记录下:
下载地址:vim.tgz

下载以后直接解压到自己的home下就可以了

ununtu安装jdk

条件:
安装环境:ubuntu14.0.4
jdk版本:jdk1.8.0_60
jdk下载地址(请选择相应的包):
http://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html
(小提示:这里我选择的是源码包,下载的时候要先选择Accept License Agreement);
安装:
1.创建安装目录

sudo mkdir /usr/local/java

2.将下载好的包移到/usr/local/java下,解压;
3.配置环境变量
打开/etc/profile

sudo vim /etc/profile

添加如下信息(jdk变量应该和你的版本相对应):

#set java environment
export JAVA_HOME=/usr/local/java/jdk1.8.0_60
export JRE_HOME=/usr/local/java/jdk1.8.0_60/jre
export CLASSPATH=.:$JAVA_HOME/lib:$JRE_HOME/lib:$CLASSPATH
export PATH=$JAVA_HOME/bin:$JRE_HOME/bin:$JAVA_HOME:$PATH

是环境变量立即生效

source /etc/profile

运行如下命令:

java -version

出现如下信息表明你已经成功安装
java version "1.8.0_60"
Java(TM) SE Runtime Environment (build 1.8.0_60-b27)
Java HotSpot(TM) Server VM (build 25.60-b23, mixed mode)

参考文章:
http://weixiaolu.iteye.com/blog/1401786

nginx的https配置

1.安装openssl
一般linux中默认安装有openssl,如果其版本太低,那么它将不能完成我们后面的的设置,你不需要将其卸载,只需要在安装一个新的即可(保证其版本在1.0.1e及以上即可)。
yum install openssl

2.生成key文件和crt文件
这里我们要先去下面的网址生成csr文件和key文件:
https://www.chinassl.net/ssltools/generator-csr.html
csr文件我们将用来生成证书(生成证书这里有两个选择:1、你自己生成,这样没有任何成本,进攻学习使用,换句话说,实际应用那是然并卵;2、那你就要找一家你认为合适的机构来生成),key文件我们将会在配置nginx的时候用到。
你拿到了证书将证书和key文件传到服务器,在nginx下新建ssl文件夹(你也可以不叫ssl),将文件放在里面。打开nginx的配置文件,server里面添加或者修改

  #ssl配置
  listen 443;
  ssl on;
  ssl_certificate      /usr/local/nginx/ssl/server.crt;  #证书
  ssl_certificate_key  /usr/local/nginx/ssl/server.key;  #key文件

  ssl_session_timeout 5m;            #缓存时间
  ssl_protocols  TLSv1 TLSv1.2;          #加密协议
  ssl_ciphers 'AES128+EECDH:AES128+EDH';   #这里确保你使用最新的加密套件
  ssl_prefer_server_ciphers on;

3.重启服务器就可以了

参考网站:
生成证书http://www.cnblogs.com/AloneSword/p/3809002.html
原理配置http://www.open-open.com/lib/view/open1430794673710.html

公司框架学习总结

目录结构:

  • mommon
  • fe
  • phplib
  • app
  • common目录
    • action action基础目录
    • conf 配置文件,包括数据库,分词,地区等
    • model 公共service类
    • test 单元测试文件
    • validator 数据验证基类
  • fe目录
    • static 静态文件
    • templates 模版文件
  • phplib目录
    • redis redis基础类
    • smarty smarty框架
    • utils 工具类文件
    • db 数据库基类
    • framework 框架基础
  • app ( 项目目录 )
    • action action模块化,一个文件对应一个操作
    • common env_init.php环境初始化文件
    • conf AppConfig.class.php URL映射
    • model 其分为service文件和dao文件
      - service 实现数据验证,数据处理
      - dao实现数据的读写
    • script php脚本文件
    • test 测试文件
    • index.php 项目入口文件

执行流程:

  1. index.php入口
  2. 引入eve_init.php文件尽心环境初始化
  3. 实例化application类,调用content实现url分发,
  4. action继承,AsyncbaseAction(返回json数据的操作应继承此类)、TemplateBasedAction(带Smarty模板action基类)。
  5. action会根据请求方式不同执行不同方法(doGet、doPost)
  6. 数据处理调用model下的service层并完成相应的业务逻辑,对应的dao处理数据读写
  7. 最终将结果返回(根据第4部)。