130 lines
5.1 KiB
Java
130 lines
5.1 KiB
Java
/** Copyright (c) 2010 Scott A. Crosby. <scott@sacrosby.com>
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This program is free software: you can redistribute it and/or modify
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it under the terms of the GNU Lesser General Public License as
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published by the Free Software Foundation, either version 3 of the
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License, or (at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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package crosby.binary;
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import java.util.Arrays;
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import java.util.Comparator;
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import java.util.HashMap;
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import com.google.protobuf.ByteString;
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/**
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* Class for mapping a set of strings to integers, giving frequently occuring
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* strings small integers.
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*/
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public class StringTable {
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public StringTable() {
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clear();
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}
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private HashMap<String, Integer> counts;
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private HashMap<String, Integer> stringmap;
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private String[] set;
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public void incr(String s) {
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counts.merge(s, 1, Integer::sum);
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}
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/** After the stringtable has been built, return the offset of a string in it.
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*
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* Note, value '0' is reserved for use as a delimiter and will not be returned.
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* @param s
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* @return
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*/
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public int getIndex(String s) {
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return stringmap.get(s);
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}
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public void finish() {
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Comparator<String> comparator = (s1, s2) -> counts.get(s2) - counts.get(s1);
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/* Sort the stringtable */
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/*
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When a string is referenced, strings in the stringtable with indices:
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0 : Is reserved (used as a delimiter in tags
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A: 1 to 127 : Uses can be represented with 1 byte
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B: 128 to 128**2-1 : Uses can be represented with 2 bytes,
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C: 128*128 to X : Uses can be represented with 3 bytes in the unlikely case we have >16k strings in a block. No block will contain enough strings that we'll need 4 bytes.
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There are goals that will improve compression:
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1. I want to use 1 bytes for the most frequently occurring strings, then 2 bytes, then 3 bytes.
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2. I want to use low integers as frequently as possible (for better
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entropy encoding out of deflate)
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3. I want the stringtable to compress as small as possible.
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Condition 1 is obvious. Condition 2 makes deflate compress stringtable references more effectively.
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When compressing entities, delta coding causes small positive integers to occur more frequently
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than larger integers. Even though a stringtable references to indices of 1 and 127 both use one
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byte in a decompressed file, the small integer bias causes deflate to use fewer bits to represent
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the smaller index when compressed. Condition 3 is most effective when adjacent strings in the
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stringtable have a lot of common substrings.
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So, when I decide on the master stringtable to use, I put the 127 most frequently occurring
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strings into A (accomplishing goal 1), and sort them by frequency (to accomplish goal 2), but
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for B and C, which contain the less progressively less frequently encountered strings, I sort
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them lexiconographically, to maximize goal 3 and ignoring goal 2.
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Goal 1 is the most important. Goal 2 helped enough to be worth it, and goal 3 was pretty minor,
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but all should be re-benchmarked.
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*/
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set = counts.keySet().toArray(new String[0]);
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if (set.length > 0) {
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// Sort based on the frequency.
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Arrays.sort(set, comparator);
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// Each group of keys that serializes to the same number of bytes is
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// sorted lexiconographically.
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// to maximize deflate compression.
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// Don't sort the first array. There's not likely to be much benefit, and we want frequent values to be small.
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//Arrays.sort(set, Math.min(0, set.length-1), Math.min(1 << 7, set.length-1));
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Arrays.sort(set, Math.min(1 << 7, set.length-1), Math.min(1 << 14,
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set.length-1));
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Arrays.sort(set, Math.min(1 << 14, set.length-1), Math.min(1 << 21,
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set.length-1), comparator);
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}
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stringmap = new HashMap<>(2 * set.length);
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for (int i = 0; i < set.length; i++) {
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stringmap.put(set[i], i + 1); // Index 0 is reserved for use as a delimiter.
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}
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counts = null;
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}
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public void clear() {
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counts = new HashMap<>(100);
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stringmap = null;
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set = null;
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}
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public Osmformat.StringTable.Builder serialize() {
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Osmformat.StringTable.Builder builder = Osmformat.StringTable
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.newBuilder();
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builder.addS(ByteString.copyFromUtf8("")); // Add a unused string at offset 0 which is used as a delimiter.
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for (String s : set) {
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builder.addS(ByteString.copyFromUtf8(s));
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}
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return builder;
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}
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}
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