Install and configure Jboss 7 on Linux

工作中jenkins+jboss持续集成问题汇总帖 场景一  一个jboss容器内只部署一个服务 standalone模式 这种情况下,解决方案很多。目前再用的是通过jenkins的punish over ssh 将构建好的war包放到目标主机上,然后直接使用命令查找到jboss进程ID,然后kill掉。替换war包后重启jboss即可。当然也可以通过命令行 $JBOSS_HOME/bin/jboss-cli.sh --connect ip:p 阅读详情

Download and Installation and Launch 

1. Install JDK 

2. Create a user for jboss

useradd jboss

2. Download the jboss to the target folder  /home/jboss

wget http://download.jboss.org/jbossas/7.1/jboss-as-7.1.1.Final/jboss-as-7.1.1.Final.tar.gz

3. tar -zxvf jboss-as-7.1.1.Final.tar.gz

4. Now, let's start JBoss AS

in standalone mode:

jboss-as-7.1.1.Final/bin/standalone.sh

in domain mode:

jboss-as-7.1.1.Final/bin/domain.sh

Noet: if you want to launch Jboss as backend jobs, you can use command :./standalone.sh &

5. That's it, JBoss AS is installed and running! Visit http://localhost:8080/ to check the server has started properly.

Stop Jboss:

1. If your jboss is running as front jobs, simply press Crtl-C whilst the terminal has focus.

2. If your jboss is running as backend jobs, you should use jboss CLI (path:jboss-as-7.1.1.Final/bin/jboss-cli.sh)

STOP standalone mode:

$jboss-cli.sh

[disconnected /]connect

Connect to localhost:9999

[localhost:9999]:shutdown

PS: You can edit the /etc/profile(for all users on this server) or .bash_profile(for the specific user who installed jboss,like /home/someuser/jboss-as-7.1.1.Fina), asfollows;

JBOSS_HOME=/veris/upc/aiupc/jboss-as-7.1.1.Final
PATH=$PATH:$JBOSS_HOME/bin
CLASSPATH=.:$CLASSPATH:$JBOSS_HOME/lib
export JBOSS_HOME PATH CLASSPATH

source .bash_profile

OR

$jboss-cli.sh --connect  command=:shutdown

STOP domain mode:

$jboss-cli.sh

[disconnected /]connect

Connect to localhost:9999

[localhost:9999]:/host=master:shutdown

PS: Command: /host=master:shutdown. this "master" is from $JBOSS_HOME/domain/configuration/host.xml,as follows;

<host name="master" xmlns="urn:jboss:domain:1.2">

If you change the name in this file, you also should change the same location in that command. And If you have servergroup, you can use this parameter to identify each member of the group. For instance, you have servergroup: aitest. There are three members in this group: test1,test2,test3, so you can identify which member(host) that you want to stop. /host=test1:shutdown

Reload Jboss:

$jboss-cli.sh

[disconnected /]connect

Connect to localhost:9999

[localhost:9999]:reload

Start Remote Host Jboss   ( server ip: 10.100.59.11 with vagrant virtual box)

If you want to remote access jboss(standalone)  ,like http://10.100.59.11:8080. You can:

1. ./standalone.sh -b 10.100.59.11 &  (Just can access homepage, can't access management console)

2../standdlone.sh -b 10.100.59.11 -bmanagement 10.100.59.11 & (also can access management console)

-b -> “listen” for requests on this ip address

-bmanagement -> “listen” for management console access on this ip address

& run as a background process

Note: If you can access the remote host,  try to close the firewall /etc/init.d/iptables stop . OR add iptable rules :

sudo iptables -A INPUT -p tcp --dport8080 -j ACCEPT (or other ports)

If you want to remote access jboss(domain)  ,like http://10.100.59.11:8080. You can:

1../domain.sh -b 10.100.59.11 &  (Just can access homepage, can't access management console)

OR

you can change the configuration file standalone.xml($JBOSS_HOME/standalone/configuration/) or host.xml($JBOSS_HOME/domain/configuration/)

 <interfaces>
        <interface name="management">
            <inet-address value="${jboss.bind.address.management:
127.0.0.1}"/>
        </interface>
        <interface name="public">
           <inet-address value="${jboss.bind.address:127.0.0.1}"/>
        </interface>
        <interface name="unsecure">
            <!-- Used for IIOP sockets in the standard configuration.
                 To secure JacORB you need to setup SSL -->
            <inet-address value="${jboss.bind.address.unsecure:127.0.0.1}"/>
        </interface>
    </interfaces>

change three ip from 127.0.0.1 to 0.0.0.0

PS: After changing this file, you can open http://localhost:8080, you can access the management console with link:http://<host>:9990/console

STOP Remote Host jboss(192.168.0.22):

$jboss-cli.sh

[disconnected /]connect 192.168.0.22

Authenticating against security realm: ManagementRealm

Username:admin1234

Passwd:

Connected to 192.168.1.22:9999

[192.168.1.10:9999]:shutdown




Nginx架构及配置详解 概述 Nginx采用C进行编写,是俄罗斯程序员开发的一款轻量级的可构建Web 服务器/反向代理服务器及电子邮件(IMAP/POP3)代理服务器的软件, Nginx服务器是一个高性能的HTTP和反向代理web服务器,同时也可提供了IMAP/POP3/SMTP服务。nginx常用作跑静态和做负载反向代理,动态php交给apache处理,因后者比较稳定,jsp交给tomcat、resin或jboss。n...... 阅读详情

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plot(cnn.rL);assert(er<0.12, 'Too big error');```Example: Neural Networks---------------------```matlabfunction test_example_NNload mnist_uint8;train_x = double(train_x) / 255;test_x = double(test_x) / 255;train_y = double(train_y);test_y = double(test_y);% normalize[train_x, mu, sigma] = zscore(train_x);test_x = normalize(test_x, mu, sigma);%% ex1 vanilla neural netrand('state',0)nn = nnsetup([784 100 10]);opts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samples[nn, L] = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.08, 'Too big error');%% ex2 neural net with L2 weight decayrand('state',0)nn = nnsetup([784 100 10]);nn.weightPenaltyL2 = 1e-4; % L2 weight decayopts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex3 neural net with dropoutrand('state',0)nn = nnsetup([784 100 10]);nn.dropoutFraction = 0.5; % Dropout fraction opts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex4 neural net with sigmoid activation functionrand('state',0)nn = nnsetup([784 100 10]);nn.activation_function = 'sigm'; % Sigmoid activation functionnn.learningRate = 1; % Sigm require a lower learning rateopts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex5 plotting functionalityrand('state',0)nn = nnsetup([784 20 10]);opts.numepochs = 5; % Number of full sweeps through datann.output = 'softmax'; % use softmax outputopts.batchsize = 1000; % Take a mean gradient step over this many samplesopts.plot = 1; % enable plottingnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex6 neural net with sigmoid activation and plotting of validation and training error% split training data into training and validation datavx = train_x(1:10000,:);tx = train_x(10001:end,:);vy = train_y(1:10000,:);ty = train_y(10001:end,:);rand('state',0)nn = nnsetup([784 20 10]); 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