我们有
desktopRuntime 'org.xerial:sqlite-jdbc:3.15.1'
在gradle文件中。 我建立项目但我的zip文件在lib文件夹中没有此文件。 我如何为桌面构建项目？ 我的意思是netbeans。 感谢。
答案 0 :(得分：1)
distZip或jar gradle任务的问题是他们错过了包含桌面依赖项。
部署到桌面时，您可以将临时desktopRuntime更改为runtime，因此它们将被包含在内，正如LadislavTörök建议的那样，但是您应该撤消更改，以便不依赖于移动部署。
如果你想要一个工作的zip，我们必须修改distZip任务，在lib文件夹中包含桌面依赖项，并将它们包含在类路径中（所以它们也被添加到bin文件夹中的脚本）。将其包含在build.gradle脚本中：
startScripts {
classpath += configurations.desktopRuntime
}
distZip {
into("$project.name/lib") {
from configurations.desktopRuntime
}
}
您还可以使用shadowJar解决问题，前提是包括桌面依赖项，以创建可执行的胖jar，就像在此solution中一样。
答案 1 :(得分：0)
Spark Command: /usr/lib/jvm/java-1.8.0-openjdk-1.8.0.102-4.b14.el7.x86_64/jre/bin/java -cp /usr/local/bin/spark-2.0.1-bin-hadoop2.7/conf/:/usr/local/bin/spark-2.0.1-bin-hadoop2.7/jars/* -Xmx1g org.apache.spark.deploy.worker.Worker --webui-port 8081 spark://lambda.foo.net:7077
========================================
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
16/12/08 04:30:00 INFO Worker: Started daemon with process name: 14649@hawk040os4.foo.net
16/12/08 04:30:00 INFO SignalUtils: Registered signal handler for TERM
16/12/08 04:30:00 INFO SignalUtils: Registered signal handler for HUP
16/12/08 04:30:00 INFO SignalUtils: Registered signal handler for INT
16/12/08 04:30:00 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/12/08 04:30:00 INFO SecurityManager: Changing view acls to: root
16/12/08 04:30:00 INFO SecurityManager: Changing modify acls to: root
16/12/08 04:30:00 INFO SecurityManager: Changing view acls groups to:
16/12/08 04:30:00 INFO SecurityManager: Changing modify acls groups to:
16/12/08 04:30:00 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); groups with view permissions: Set(); users with modify permissions: Set(root); groups with modify permissions: Set()
16/12/08 04:30:00 INFO Utils: Successfully started service 'sparkWorker' on port 35858.
16/12/08 04:30:00 INFO Worker: Starting Spark worker 15.242.22.179:35858 with 24 cores, 1510.2 GB RAM
16/12/08 04:30:00 INFO Worker: Running Spark version 2.0.1
16/12/08 04:30:00 INFO Worker: Spark home: /usr/local/bin/spark-2.0.1-bin-hadoop2.7
16/12/08 04:30:00 INFO Utils: Successfully started service 'WorkerUI' on port 8081.
16/12/08 04:30:00 INFO WorkerWebUI: Bound WorkerWebUI to 0.0.0.0, and started at http://15.242.22.179:8081
16/12/08 04:30:00 INFO Worker: Connecting to master lambda.foo.net:7077...
16/12/08 04:30:00 WARN Worker: Failed to connect to master lambda.foo.net:7077
org.apache.spark.SparkException: Exception thrown in awaitResult
at org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:77)
at org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:75)
at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36)
at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:88)
at org.apache.spark.rpc.RpcEnv.setupEndpointRef(RpcEnv.scala:96)
at org.apache.spark.deploy.worker.Worker$$anonfun$org$apache$spark$deploy$worker$Worker$$tryRegisterAllMasters$1$$anon$1.run(Worker.scala:216)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to connect to lambda.foo.net/19.341.11.212:7077
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:228)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:179)
at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:197)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:191)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187)
... 4 more
Caused by: java.net.NoRouteToHostException: No route to host: lambda.foo.net/19.341.11.212:7077
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224)
at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
... 1 more
16/12/08 04:30:12 INFO Worker: Retrying connection to master (attempt # 1)
16/12/08 04:30:12 INFO Worker: Connecting to master lambda.foo.net:7077...
16/12/08 04:30:12 WARN Worker: Failed to connect to master lambda.foo.net:7077
org.apache.spark.SparkException: Exception thrown in awaitResult
at org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:77)
1
Try next steps: