我使用线程池执行器产生5个线程并行执行5个不同的命令。每个线程完成后,我将以threadid的条目作为键更新并发散列映射,并将其作为值终止。但是我的线程池并没有更新成功完成命令执行的hashmap。线程池执行器不更新并发哈希映射
主类:
package com.cisco.executor;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.Executors;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
public class MainExecutor {
static String element;
static ConcurrentHashMap<Integer, String> map = new ConcurrentHashMap<Integer, String>();
static Integer array[] = { 1, 2, 3, 4, 5 };
// static Integer array[] = { 1 };
static List<Integer> threadid = Arrays.asList(array);
static String SQOOP_XXCCS_DS_SAHDR_CORE = ReadProperties.getInstance().getProperty("SQOOP_XXCCS_DS_SAHDR_CORE");
static String SQOOP_XXCCS_DS_CVDPRDLINE_DETAIL = ReadProperties.getInstance()
.getProperty("SQOOP_XXCCS_DS_CVDPRDLINE_DETAIL");
static String SQOOP_XXCCS_DS_INSTANCE_DETAIL = ReadProperties.getInstance()
.getProperty("SQOOP_XXCCS_DS_INSTANCE_DETAIL");
static String SQOOP_XXCCS_SCDC_PRODUCT_PROFILE = ReadProperties.getInstance()
.getProperty("SQOOP_XXCCS_SCDC_PRODUCT_PROFILE");
static String SQOOP_MTL_SYSTEM_ITEMS_B = ReadProperties.getInstance().getProperty("SQOOP_MTL_SYSTEM_ITEMS_B");
public static void main(String[] args) {
ThreadPoolExecutor executors = (ThreadPoolExecutor) Executors.newFixedThreadPool(5);
// ThreadPoolExecutor executors = (ThreadPoolExecutor) Executors.newFixedThreadPool(1);
System.out.println("at executors step");
List<String> getlist = getList();
Iterator<Integer> itr2 = threadid.iterator();
for (Iterator<String> itr = getlist.iterator(); itr.hasNext() && itr2.hasNext();) {
String element = (String) itr.next();
int thread_id = itr2.next();
String[] command = { "ssh", "hddev-c01-edge-02", "\"" + element + "\"" };
System.out.println("the command is as below ");
System.out.println(Arrays.toString(command));
System.out.println("inside the iterator");
ParallelExecutor pe = new ParallelExecutor(command, thread_id, map);
executors.execute(pe);
}
// executors.shutdown();
for(Map.Entry<Integer, String> entry: map.entrySet())
{
Integer key = entry.getKey();
String value = entry.getValue();
System.out.println("The key is " + key + " The value is " + value);
System.out.println("Thread " + key + " is terminated");
}
}
public static List<String> getList() {
List<String> commandlist = new ArrayList<String>();
System.out.println("inside getList");
commandlist.add(SQOOP_XXCCS_DS_SAHDR_CORE);
commandlist.add(SQOOP_XXCCS_DS_CVDPRDLINE_DETAIL);
commandlist.add(SQOOP_XXCCS_DS_INSTANCE_DETAIL);
commandlist.add(SQOOP_XXCCS_SCDC_PRODUCT_PROFILE);
commandlist.add(SQOOP_MTL_SYSTEM_ITEMS_B);
return commandlist;
}
}
运行的类:
package com.cisco.executor;
import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.util.concurrent.ConcurrentHashMap;
import org.apache.log4j.Logger;
public class ParallelExecutor implements Runnable {
private static Logger LOGGER = Logger.getLogger(ParallelExecutor.class);
String[] command;
int threadid;
ConcurrentHashMap<Integer, String> map;
public ParallelExecutor(String[] command, int threadid, ConcurrentHashMap<Integer, String> map) {
this.command = command;
this.threadid = threadid;
this.map = map;
}
@Override
public void run() {
ProcessBuilder processbuilder = new ProcessBuilder(command);
LOGGER.info(command);
try {
Process process = processbuilder.inheritIO().start();
System.out.println("inside process builder ");
process.waitFor();
BufferedReader reader = new BufferedReader(new InputStreamReader(process.getInputStream()));
String readline;
while ((readline = reader.readLine()) != null) {
LOGGER.info(readline);
}
// getting the thread state and adding it to a collection
Thread.State state = Thread.currentThread().getState();
if (state == Thread.State.TERMINATED) {
map.put(threadid, "TERMINATED");
}
} catch (Exception e) {
LOGGER.error(e.getMessage());
}
}
}
是我的错误执行。有人可以帮我实施。
您预计何时会有线程说它已终止?如果你死了,你能告诉我你已经死了吗? –
是的,你是绝对正确的。我错过了这个逻辑。那么我应该抓住状态并做一个入口? – dataEnthusiast
我想要做的就是捕获线程ID和执行线程后的状态,并将其放入地图中以轮询地图。 – dataEnthusiast