我运行了一个递归的map/reduce程序。出了问题,它几乎消耗了c驱动器中所有可用的磁盘空间。所以我关闭了资源管理器、节点管理器、名称节点、数据节点控制台。现在我有一个c驱动器几乎是满的,我不知道如何清空磁盘空间,使我的c驱动器,因为它是以前。我现在该怎么办。感谢您的帮助。这是密码
公共类先验{
public static class CandidateGenMap extends Mapper<LongWritable, Text, Text, Text>
{
private Text word = new Text();
private Text count = new Text();
private int Support = 5;
public void CandidatesGenRecursion(Vector<String> in, Vector<String> out,
int length, int level, int start,
Context context) throws IOException {
int i,size;
for(i=start;i<length;i++) {
if(level==0){
out.add(in.get(i));
} else {
out.add(in.get(i));
int init=1;
StringBuffer current = new StringBuffer();
for(String s:out)
{
if(init==1){
current.append(s);
init=0;
} else {
current.append(" ");
current.append(s);
}
}
word.set(current.toString());
count.set(Integer.toString(1));
try {
context.write(word, count);
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
if(i < length-1) {
CandidatesGenRecursion(in, out, length,level+1,i+1, context);
}
size = out.size();
if(size>0){
out.remove(size-1);
}
}
}
@Override
public void map(LongWritable key,Text value,Context context) throws IOException
{
String line = value.toString();
StringTokenizer tokenizer = new StringTokenizer(line);
String[] token=new String[2];
int i=0;
while(tokenizer.hasMoreTokens()){
token[i]= tokenizer.nextToken();
++i;
}
StringTokenizer urlToken = new StringTokenizer(token[1],",");
Vector<String> lst = new Vector<String>();
int loop=0;
while (urlToken.hasMoreTokens()) {
String str = urlToken.nextToken();
lst.add(str);
loop++;
}
Vector<String> combinations = new Vector<String>();
if(!lst.isEmpty()) {
CandidatesGenRecursion(lst, combinations, loop,0,0, context);
}
}
}
public static class CandidateGenReduce extends Reducer<Text, IntWritable, Text, IntWritable>
{
public void reduce(Text key,Iterator<IntWritable> values,Context context) throws IOException
{
int sum = 0;
while (values.hasNext()) {
sum += values.next().get();
}
try {
context.write(key, new IntWritable(sum));
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
public static void main(String[] args) throws Exception
{
Date dt;
long start,end; // Start and end time
//Start Timer
dt = new Date();
start = dt.getTime();
Configuration conf1 = new Configuration();
System.out.println("Starting Job2");
Job job2 = new Job(conf1, "apriori candidate gen");
job2.setJarByClass(apriori.class);
job2.setMapperClass(CandidateGenMap.class);
job2.setCombinerClass(CandidateGenReduce.class); //
job2.setReducerClass(CandidateGenReduce.class);
job2.setMapOutputKeyClass(Text.class);
job2.setMapOutputValueClass(Text.class);
job2.setOutputKeyClass(Text.class);
job2.setOutputValueClass(IntWritable.class);
job2.setInputFormatClass(TextInputFormat.class);
job2.setOutputFormatClass(TextOutputFormat.class);
FileInputFormat.addInputPath(job2, new Path(args[0]));
FileOutputFormat.setOutputPath(job2, new Path(args[1]));
job2.waitForCompletion(true);
//End Timer
dt = new Date();
end = dt.getTime();
}
}
3条答案
按热度按时间dz6r00yl1#
签入hdfs作业输出路径并删除内容。
列表内容:
使用的磁盘:
删除内容(小心!,它是递归的):
6g8kf2rb2#
hadoop在每个阶段(map、reduce等)的i/0操作都需要足够的磁盘空间。
gorkyyrv3#
删除输出目录可能有助于从mapreduce作业创建的文件中释放磁盘。