我在分布式缓存中存储了少量数据(几MB),并用它来执行两个大文件的反连接。对于缓存中的几行数据,该功能可以正常工作,但是当缓存在生产中有更多的数据时,它无法完成该工作,但也不会引发任何错误。只是只有很少的记录(大约20%)被加入,而其他记录只是被忽略了。那么,分布式缓存中可以存储的记录数是否有上限呢?为什么它只为一些记录工作而忽略其余的记录?任何建议都会非常有用。下面是我的密码
public class MyMapper extends Mapper<LongWritable, Text, Text, TextPair> {
Text albumKey = new Text();
Text photoKey = new Text();
private HashSet<String> photoDeleted = new HashSet<String>();
private HashSet<String> albDeleted = new HashSet<String>();
Text interKey = new Text();
private TextPair interValue = new TextPair();
private static final Logger LOGGER = Logger.getLogger(SharedStreamsSlMapper.class);
protected void setup(Context context) throws IOException, InterruptedException {
int count=0;
Path[] cacheFiles = DistributedCache.getLocalCacheFiles(context.getConfiguration());
System.out.println(cacheFiles.length);
LOGGER.info(cacheFiles+"****");
try {
if (cacheFiles != null && cacheFiles.length > 0) {
for (Path path : cacheFiles) {
String line;
String[] tokens;
BufferedReader joinReader = new BufferedReader(new FileReader(path.toString()));
System.out.println(path.toString());
// BufferedReader joinReader = new BufferedReader(new FileReader("/Users/Kunal_Basak/Desktop/ss_test/dsitCache/part-m-00000"));
try {
while ((line = joinReader.readLine()) != null) {
count++;
tokens = line.split(SSConstants.TAB, 2);
if(tokens.length<2){
System.out.println("WL");
continue;
}
if (tokens[0].equals("P")) {
photoDeleted.add(tokens[1]);
}
else if (tokens[0].equals("A")) {
albDeleted.add(tokens[1]);
}
}
}
finally {
joinReader.close();
}
}
}
}
catch (IOException e) {
System.out.println("Exception reading DistributedCache: " + e);
}
System.out.println(count);
System.out.println("albdeleted*****"+albDeleted.size());
System.out.println("photo deleted*****"+photoDeleted.size());
LOGGER.info("albdeleted*****"+albDeleted.size());
LOGGER.info("albdeleted*****"+albDeleted.size());
}
public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
try{
//my mapper code
}
}
}
1条答案
按热度按时间sr4lhrrt1#
根据这篇博客文章:
这个
local.cache.size
参数控制distributedcache的大小。默认设置为10GB。
因此,如果缓存中的容量超过10gb,这可能是您的问题。