I'm trying to read a large text corpus into memory with Java. At some point it hits a wall and just garbage collects interminably. I'd like to know if anyone has experience beating Java's GC into submission with large data sets.
I'm reading an 8 GB file of English text, in UTF-8, with one sentence to a line. I want to split() each line on whitespace and store the resulting String arrays in an ArrayList<String[]> for further processing. Here's a simplified program that exhibits the problem:
/** Load whitespace-delimited tokens from stdin into memory. */
public class LoadTokens {
private static final int INITIAL_SENTENCES = 66000000;
public static void main(String[] args) throws IOException {
List<String[]> sentences = new ArrayList<String[]>(INITIAL_SENTENCES);
BufferedReader stdin = new BufferedReader(new InputStreamReader(System.in));
long numTokens = 0;
String line;
while ((line = stdin.readLine()) != null) {
String[] sentence = line.split("\\s+");
if (sentence.length > 0) {
sentences.add(sentence);
numTokens += sentence.length;
}
}
System.out.println("Read " + sentences.size() + " sentences, " + numTokens + " tokens.");
}
}
Seems pretty cut-and-dried, right? You'll notice I even pre-size my ArrayList; I have a little less than 66 million sentences and 1.3 billion tokens. Now if you whip out your Java object sizes reference and your pencil, you'll find that should require about:
- 66e6
String[]references @ 8 bytes ea = 0.5 GB - 66e6
String[]objects @ 32 bytes ea = 2 GB - 66e6
char[]objects @ 32 bytes ea = 2 GB - 1.3e9
Stringreferen