nutch 生产者队列的大小如何控制 threadcount * 50

如果topN 设置为1000万 ，不会这1000万都放到QueueFeeder（内存）中，而是从文件系统中（hdfs）中迭代不断填充QueueFeeder。
队列中默认存放 threadcount * 50 。 这个类的作用是从文件系统读文件填充队列。/**
* This class feeds the queues with input items, and re-fills them as
* items are consumed by FetcherThread-s.
*/
private static class QueueFeeder extends Thread {
private final Context context;
private final FetchItemQueues queues;
private final int size;
private Iterator<FetchEntry> currentIter; //FetchEntry实现了 org.apache.hadoop.io.Writable
boolean hasMore;
private long timelimit = -1; public QueueFeeder(Context context,
FetchItemQueues queues, int size)
throws IOException, InterruptedException {
this.context = context;
this.queues = queues;
this.size = size;
this.setDaemon(true);
this.setName("QueueFeeder");
hasMore = context.nextKey();
if (hasMore) {
currentIter = context.getValues().iterator();
}
// the value of the time limit is either -1 or the time where it should finish
timelimit = context.getConfiguration().getLong("fetcher.timelimit", -1);
} @Override
public void run() {
int cnt = 0;
int timelimitcount = 0;
try {
while (hasMore) {
if (System.currentTimeMillis() >= timelimit && timelimit != -1) {
// enough .. lets' simply
// read all the entries from the input without processing them
while (currentIter.hasNext()) {
currentIter.next();
timelimitcount++;
}
hasMore = context.nextKey();
if (hasMore) {
currentIter = context.getValues().iterator();
}
continue;
}
int feed = size - queues.getTotalSize();
if (feed <= 0) {
// queues are full - spin-wait until they have some free space
try {
Thread.sleep(1000);
} catch (final Exception e) {};
continue;
}
if (LOG.isDebugEnabled()) {
LOG.debug("-feeding " + feed + " input urls ...");
}
while (feed > 0 && currentIter.hasNext()) {
FetchEntry entry = currentIter.next();
final String url =
TableUtil.unreverseUrl(entry.getKey());
queues.addFetchItem(url, entry.getWebPage());
feed--;
cnt++;
}
if (currentIter.hasNext()) {
continue; // finish items in current list before reading next key
}
hasMore = context.nextKey();
if (hasMore) {
currentIter = context.getValues().iterator();
}
}
} catch (Exception e) {
LOG.error("QueueFeeder error reading input, record " + cnt, e);
return;
}
LOG.info("QueueFeeder finished: total " + cnt + " records. Hit by time limit :"
+ timelimitcount);
context.getCounter("FetcherStatus","HitByTimeLimit-QueueFeeder").increment(timelimitcount);
}
}