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package demo;

import java.io.Serializable;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Primary;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisOperations;

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import java.lang.annotation.Annotation;
import java.util.List;
import java.util.Map;
import org.springframework.beans.factory.config.BeanDefinition;
import org.springframework.beans.factory.config.ConfigurableListableBeanFactory;
import org.springframework.context.ApplicationContext;
import org.springframework.context.ConfigurableApplicationContext;
import org.springframework.core.type.StandardMethodMetadata;
import com.google.common.base.Preconditions;
import com.google.common.base.Predicate;

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import org.springframework.data.redis.connection.Message;
import org.springframework.data.redis.connection.MessageListener;
import org.springframework.stereotype.Component;

import lombok.extern.slf4j.Slf4j;

/**
 * Session过期监听
 * @author Frank Zeng
 *

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import java.util.Map;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.Callable;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import java.util.concurrent.RejectedExecutionHandler;
import java.util.concurrent.ThreadFactory;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;

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import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import java.util.Map.Entry;

import org.apache.http.HttpException;
import org.apache.http.HttpRequest;
import org.apache.http.HttpResponse;
import org.apache.http.message.BasicHeader;
import org.apache.http.protocol.HttpContext;

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Best Practices for Azure Redis

Below are a set of best practices that I recommend for most customers. This information is based on my experience helping hundreds of Azure Redis customers investigate various issues.

Configuration and Concepts

1. Use Standard or Premium Tier for Production systems. The Basic Tier is a single node system with no data replication and no SLA. Also, use at least a C1 cache. C0 caches are really meant for simple dev/test scenarios since they have a shared CPU core, very little memory, are prone to "noisy neighbor", etc.
2. Remember that Redis is an In-Memory data store. Read this article so that you are aware of scenarios where data loss can occur.
3. Configure your client library to use a "connect timeout" of at least 10 to 15 seconds, giving the system time to connect even under higher CPU conditions. If your client or server tend to be under high load

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-server
-Xms2048m
-Xmx2048m
-XX:NewSize=512m
-XX:MaxNewSize=512m
-XX:PermSize=512m
-XX:MaxPermSize=512m
-XX:+UseParNewGC
-XX:ParallelGCThreads=4
-XX:MaxTenuringThreshold=1

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Install HomeBrew first

brew update
brew tap caskroom/cask
brew install brew-cask

If you get the error "already installed", follow the instructions to unlink it, then install again:

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摘译自 robots.thoughtbot.com

launchctl 命令加载，卸载开机自动运行的服务，在 OS X 中，服务本身存储在 .plist 文件中（即 property list），这些文件的位置一般在 ~/Library/LaunchAgents 或 /Library/LaunchAgents。可以使用 launchctl load $PATH_TO_LIST 和 unload them with launchctl unload $PATH_TO_LIST 命令来加载/卸载他们。加载就是允许这个程序开机执行，卸载反之。

如果你使用 Homebrew 安装过 mysql 那么下面的安装后提示你可能比较熟悉

To have launchd start mysql at login:
   ln -sfv /usr/local/opt/mysql/*.plist ~/Library/LaunchAgents
Then to load mysql now:

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#!/usr/bin/env zsh
brew install lrzsz

recv='/usr/local/bin/iterm2-recv-zmodem.sh'
send='/usr/local/bin/iterm2-send-zmodem.sh'

curl -sSL https://github.com/zzy0-0/iterm2-zmodem/raw/master/iterm2-recv-zmodem.sh -o "$recv"
curl -sSL https://github.com/zzy0-0/iterm2-zmodem/raw/master/iterm2-send-zmodem.sh -o "$send"

chmod +x "$recv" "$send"