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Use an alternate version of hashing algorithm for symbol string tables and after a certain bucket size to improve performance Reviewed-by: pbk, kamg, dlong, kvn, fparain
80 lines
3.4 KiB
Java
80 lines
3.4 KiB
Java
/*
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* Copyright (c) 2012, Oracle and/or its affiliates. All rights reserved.
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* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
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*
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* This code is free software; you can redistribute it and/or modify it
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* under the terms of the GNU General Public License version 2 only, as
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* published by the Free Software Foundation.
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*
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* This code is distributed in the hope that it will be useful, but WITHOUT
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* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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* version 2 for more details (a copy is included in the LICENSE file that
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* accompanied this code).
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*
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* You should have received a copy of the GNU General Public License version
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* 2 along with this work; if not, write to the Free Software Foundation,
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* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
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*
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* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
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* or visit www.oracle.com if you need additional information or have any
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* questions.
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*/
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/*
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* @test
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* @bug 7158800
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* @run shell/timeout=400 Test7158800.sh
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* @summary This test performs poorly if alternate hashing isn't used for
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* string table.
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* The timeout is handled by the shell file (which kills the process)
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*/
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import java.util.*;
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import java.io.*;
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public class InternTest {
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public static void main (String args[]) throws Exception {
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final String badStringsFilename = "badstrings.txt";
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if (args.length == 0 || (!args[0].equals("bad") && !args[0].equals("normal"))) {
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System.out.println("Usage: java InternTest [normal|bad]");
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System.exit(1);
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}
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FileInputStream fstream = new FileInputStream(badStringsFilename);
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DataInputStream in = new DataInputStream(fstream);
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BufferedReader br = new BufferedReader(new InputStreamReader(in));
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String toIntern, toDiscard;
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int count = 0;
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long current = 0L;
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long last = System.currentTimeMillis();
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if (args[0].equals("bad")) {
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while ((toIntern = br.readLine()) != null) {
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toDiscard = new String((new Integer((int)(Math.random() * Integer.MAX_VALUE))).toString());
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toIntern.intern();
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count++;
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if (count % 10000 == 0 && count != 0) {
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current = System.currentTimeMillis();
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System.out.println(new Date(current) + ": interned " + count + " 0-hash strings - last 10000 took " + ((float)(current - last))/1000 + "s (" + ((float)(current - last))/10000000 + "s per String)");
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last = current;
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}
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}
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}
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if (args[0].equals("normal")) {
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while ((toDiscard = br.readLine()) != null) { // do the same read from the file to try and make the test fair
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toIntern = new String((new Integer((int)(Math.random() * Integer.MAX_VALUE))).toString());
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toIntern.intern();
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count++;
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if (count % 10000 == 0 && count != 0) {
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current = System.currentTimeMillis();
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System.out.println(new Date(current) + ": interned " + count + " normal strings - last 10000 took " + ((float)(current - last))/1000 + "s (" + ((float)(current - last))/10000000 + "s per String)");
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last = current;
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}
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}
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}
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in.close();
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}
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}
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