Question

我正在尝试创建一个Jenkins作业，将我的maven项目jar部署到Unix SSH服务器中。我创建了jenkins作业，它将从git存储库中获取代码并执行maven安装并在我的根工作空间中创建jar文件。现在我希望将生成的jar部署到UNIX SSH服务器中。任何人都可以为我提供一些见解。谢谢

Answer 1

在最简单的级别，您可以运行shell命令将文件复制到远程服务器。

Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=5 
sklearn preplexity: train=9500.437, test=12350.525
done in 4.966s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=10 
sklearn preplexity: train=341234.228, test=492591.925
done in 4.628s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=15 
sklearn preplexity: train=11652001.711, test=17886791.159
done in 4.337s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=20 
sklearn preplexity: train=402465954.270, test=609914097.869
done in 4.351s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=25 
sklearn preplexity: train=14132355039.630, test=21945586497.205
done in 4.438s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=30 
sklearn preplexity: train=499209051036.715, test=770208066318.557
done in 4.076s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=35 
sklearn preplexity: train=16539345584599.268, test=24731601176317.836
done in 4.230s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=40 
sklearn preplexity: train=586526357904887.250, test=880809950700756.625
done in 4.596s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=45 
sklearn preplexity: train=20928740385934636.000, test=31065168894315760.000
done in 4.563s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=50 
sklearn preplexity: train=734804198843926784.000, test=1102284263786783616.000
done in 4.790s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=55 
sklearn preplexity: train=24747026375445286912.000, test=36634830286916853760.000
done in 4.839s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=60 
sklearn preplexity: train=879215493067590729728.000, test=1268331920975308783616.000
done in 4.827s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=65 
sklearn preplexity: train=30267393208097070645248.000, test=43678395923698735382528.000
done in 4.705s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=70 
sklearn preplexity: train=1091388615092136975532032.000, test=1564111432914603675222016.000
done in 4.626s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=75 
sklearn preplexity: train=37463573890268863118966784.000, test=51513357456275195169865728.000
done in 5.034s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=80 
sklearn preplexity: train=1281758440147129243608809472.000, test=1736796133443165299937378304.000
done in 5.348s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=85 
sklearn preplexity: train=45100838968058242714191265792.000, test=62725627465378386290422054912.000
done in 4.987s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=90 
sklearn preplexity: train=1555576278144903954081448460288.000, test=2117105172204280105824751190016.000
done in 5.032s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=95 
sklearn preplexity: train=52806759455785055803020813533184.000, test=70510180325555822379548402515968.000
done in 5.284s.
Fitting LDA models with tf features, n_samples=0, n_features=1000 n_topics=100 
sklearn preplexity: train=1885916623308147578324101753733120.000, test=2505878598724106449894719231098880.000
done in 5.374s.

或者，您可以使用chef / ansible / puppet等工具自动执行不同的部署任务。

Answer 2

您可以在UNIX SSH服务器中安装master而不是在slave中运行作业，并在该特定的从属服务器上运行您的作业，然后构建JAR file然后在UNIX服务器中随意部署它。

Answer 3

您可以使用Publish Over SSH Plugin使用此插件将Workspace中的文件传输到远程SSH机器。

Answer 4

您可以将jar文件scp到目标位置 - https://wiki.jenkins.io/display/JENKINS/SCP+plugin

Jenkins将生成的jar部署到Unix SSH服务器

4 个答案: