Source Code Cross Referenced for Paste.java in  » Search-Engine » mg4j » it » unimi » dsi » mg4j » tool » Java Source Code / Java DocumentationJava Source Code and Java Documentation

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Java Source Code / Java Documentation » Search Engine » mg4j » it.unimi.dsi.mg4j.tool 
Source Cross Referenced  Class Diagram Java Document (Java Doc) 


001:        package it.unimi.dsi.mg4j.tool;
002:
003:        /*		 
004:         * MG4J: Managing Gigabytes for Java
005:         *
006:         * Copyright (C) 2005-2007 Sebastiano Vigna 
007:         *
008:         *  This library is free software; you can redistribute it and/or modify it
009:         *  under the terms of the GNU Lesser General Public License as published by the Free
010:         *  Software Foundation; either version 2.1 of the License, or (at your option)
011:         *  any later version.
012:         *
013:         *  This library is distributed in the hope that it will be useful, but
014:         *  WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
015:         *  or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU Lesser General Public License
016:         *  for more details.
017:         *
018:         *  You should have received a copy of the GNU Lesser General Public License
019:         *  along with this program; if not, write to the Free Software
020:         *  Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
021:         *
022:         */
023:
024:        import it.unimi.dsi.fastutil.ints.AbstractIntComparator;
025:        import it.unimi.dsi.fastutil.ints.IntHeapPriorityQueue;
026:        import it.unimi.dsi.fastutil.ints.IntIterator;
027:        import it.unimi.dsi.mg4j.index.BitStreamIndex;
028:        import it.unimi.dsi.mg4j.index.CachingOutputBitStream;
029:        import it.unimi.dsi.mg4j.index.Index;
030:        import it.unimi.dsi.mg4j.index.IndexIterator;
031:        import it.unimi.dsi.mg4j.index.CompressionFlags.Coding;
032:        import it.unimi.dsi.mg4j.index.CompressionFlags.Component;
033:        import it.unimi.dsi.io.InputBitStream;
034:        import it.unimi.dsi.io.OutputBitStream;
035:        import it.unimi.dsi.Util;
036:
037:        import java.io.Closeable;
038:        import java.io.File;
039:        import java.io.IOException;
040:        import java.lang.reflect.InvocationTargetException;
041:        import java.net.URISyntaxException;
042:        import java.util.Map;
043:
044:        import org.apache.commons.configuration.ConfigurationException;
045:        import org.apache.log4j.Logger;
046:
047:        import com.martiansoftware.jsap.JSAPException;
048:
049:        /** Pastes several indices.
050:         * 
051:         * <p>Pasting is a very slow way of combining indices: we assume
052:         * that not only documents, but also document occurrences might be scattered
053:         * throughout several indices. When a document appears in several indices,
054:         * its occurrences in a given index are combined by renumbering them starting 
055:         * from the sum of the sizes for the document in the previous indices.
056:         * 
057:         * <p>Conceptually, this operation is equivalent to splitting a collection
058:         * <em>vertically</em>: each document is divided into a fixed number <var>n</var> 
059:         * of consecutive segments (possibly of length 0), and a set of <var>n</var> indices
060:         * is created using the <var>k</var>-th segment of all documents. Pasting the
061:         * resulting indices will produce an index that is identical to the index generated
062:         * by the original collection. The behaviour is analogous to that of the UN*X
063:         * <samp>paste</samp> command if documents are single-line lists of words.
064:         * 
065:         * <p>In pratice, pasting is usually applied to indices obtained from 
066:         * a {@linkplain it.unimi.dsi.mg4j.document.DocumentFactory.FieldType#VIRTUAL virtual field} 
067:         * (e.g., indices containing anchor text fragments).
068:         * 
069:         * <p>Note that in case every document appears at most in one index pasting
070:         * is equivalent to {@linkplain it.unimi.dsi.mg4j.tool.Merge merging}. It is, however,
071:         * significantly slower, as the presence of the same document in several lists makes
072:         * it necessary to scan completely the inverted lists to be pasted to compute the
073:         * frequency.
074:         *   
075:         * @author Sebastiano Vigna
076:         * @since 1.0
077:         */
078:
079:        final public class Paste extends Combine {
080:            @SuppressWarnings("unused")
081:            private static final Logger LOGGER = Util.getLogger(Paste.class);
082:
083:            /** The default size of the temporary bit stream buffer used while pasting. Posting lists larger
084:             * than this size will be precomputed on disk and then added to the index. */
085:            public final static int DEFAULT_MEMORY_BUFFER_SIZE = 16 * 1024 * 1024;
086:
087:            /** The reference array of the document queue. */
088:            protected int[] doc;
089:            /** The queue containing document pointers (for remapped indices). */
090:            protected IntHeapPriorityQueue documentQueue;
091:            /** The temporary cache file {@link #combine(int)}. */
092:            private File tempFile;
093:            /** The temporary output bit stream for {@link #combine(int)}. */
094:            private CachingOutputBitStream cacheBitStreamOut;
095:            /** The temporary output bit stream for {@link #combine(int)}. */
096:            private InputBitStream cacheBitStreamIn;
097:            /** The input bit stream used to wrap directly {@link #cacheBitStreamOut}'s buffer. */
098:            private InputBitStream cacheBitStreamInWrapper;
099:            /** The size of the size list for each index. */
100:            private final int[] sizesSize;
101:
102:            public Paste(final String outputBasename,
103:                    final String[] inputBasename, final boolean metadataOnly,
104:                    final int bufferSize, final File tempFileDir,
105:                    final int tempBufferSize,
106:                    final Map<Component, Coding> writerFlags,
107:                    final boolean interleaved, final boolean skips,
108:                    final int quantum, final int height,
109:                    final int skipBufferSize, final long logInterval)
110:                    throws IOException, ConfigurationException,
111:                    URISyntaxException, ClassNotFoundException,
112:                    SecurityException, InstantiationException,
113:                    IllegalAccessException, InvocationTargetException,
114:                    NoSuchMethodException {
115:                super (outputBasename, inputBasename, metadataOnly, bufferSize,
116:                        writerFlags, interleaved, skips, quantum, height,
117:                        skipBufferSize, logInterval);
118:
119:                tempFile = File.createTempFile("MG4J", ".data", tempFileDir);
120:                cacheBitStreamOut = new CachingOutputBitStream(tempFile,
121:                        tempBufferSize);
122:                cacheBitStreamIn = new InputBitStream(tempFile, bufferSize);
123:                cacheBitStreamInWrapper = new InputBitStream(cacheBitStreamOut
124:                        .buffer());
125:                /* In this case, we must reallocate position as by merging occurences we might
126:                 * obtain an occurrence list as large as the concatenation of all largest
127:                 * lists. We use this estimate to allocate position, and update maxCount in
128:                 * combine() to get the real maxCount. */
129:                int estimateForMaxCount = 0, tempSize = 0;
130:                sizesSize = new int[numIndices];
131:
132:                for (int i = 0; i < numIndices; i++) {
133:                    if (index[i].hasPayloads)
134:                        throw new IllegalArgumentException(
135:                                "You cannot paste indices with payloads");
136:                    sizesSize[i] = index[i].sizes.size();
137:                    estimateForMaxCount += index[i].maxCount;
138:                    tempSize = Math.max(tempSize, index[i].maxCount);
139:                }
140:
141:                position = new int[estimateForMaxCount];
142:                doc = new int[numIndices];
143:                documentQueue = new IntHeapPriorityQueue(numIndices,
144:                        new DocumentIndexComparator(doc));
145:            }
146:
147:            /** A comparator making an integer priority queue work much like an indirect
148:             * priority queue, with the additional property of using the reference index as secondary key.
149:             */
150:
151:            private final static class DocumentIndexComparator extends
152:                    AbstractIntComparator {
153:                private final int[] refArray;
154:
155:                public DocumentIndexComparator(final int[] refArray) {
156:                    this .refArray = refArray;
157:                }
158:
159:                public int compare(final int i, final int j) {
160:                    final int t = refArray[i] - refArray[j];
161:                    return t != 0 ? t : i - j;
162:                }
163:            }
164:
165:            /** Returns an index with given basename, loading document sizes.
166:             * 
167:             * @param basename an index basename.
168:             * @return an index loaded with document sizes.
169:             */
170:
171:            protected BitStreamIndex getIndex(final CharSequence basename)
172:                    throws ConfigurationException, IOException,
173:                    URISyntaxException, ClassNotFoundException,
174:                    SecurityException, InstantiationException,
175:                    IllegalAccessException, InvocationTargetException,
176:                    NoSuchMethodException {
177:                return (BitStreamIndex) Index.getInstance(basename, false,
178:                        true, false);
179:            }
180:
181:            protected int combineNumberOfDocuments() {
182:                int n = 0;
183:                for (int i = 0; i < numIndices; i++)
184:                    n = Math.max(n, index[i].numberOfDocuments);
185:                return n;
186:            }
187:
188:            protected int combineSizes() throws IOException {
189:                int currDoc = 0, maxDocSize = 0;
190:                for (int i = 0; i < numIndices; i++) {
191:                    final IntIterator sizes = sizes(i);
192:                    int s = 0;
193:                    int j = index[i].numberOfDocuments;
194:                    currDoc = 0;
195:                    while (j-- != 0) {
196:                        s = (size[currDoc++] += sizes.nextInt());
197:                        if (s > maxDocSize)
198:                            maxDocSize = s;
199:                    }
200:                    if (sizes instanceof  Closeable)
201:                        ((Closeable) sizes).close();
202:                }
203:                return maxDocSize;
204:            }
205:
206:            protected int combine(final int numUsedIndices) throws IOException {
207:                /* If we're merging just one list, merging is fine, and moreover
208:                 * maxCount need not be updated, as it is already initialised to
209:                 * the maximum over all indices. */
210:                int currIndex, prevDoc = -1, currDoc, count;
211:                int temp[];
212:                OutputBitStream obs;
213:                Index i;
214:                IndexIterator ii;
215:
216:                // Note that the total frequency can be computed only during the merge.
217:                for (int k = numUsedIndices; k-- != 0;) {
218:                    currIndex = usedIndex[k];
219:                    frequency[currIndex] = indexIterator[currIndex].frequency();
220:                    doc[currIndex] = indexIterator[currIndex].nextDocument();
221:                    documentQueue.enqueue(currIndex);
222:                }
223:
224:                // First phase: we write the inverted list using a quick-and-dirty format in the cache.
225:                cacheBitStreamOut.position(0);
226:                int totalFrequency = 0, increment, totalCount, prevIndex;
227:
228:                while (!documentQueue.isEmpty()) {
229:                    // We extract the smallest document pointer, and enqueue it in the new index.
230:                    currDoc = doc[currIndex = documentQueue.firstInt()];
231:                    cacheBitStreamOut.writeDelta(currDoc - prevDoc - 1);
232:                    totalFrequency++;
233:
234:                    totalCount = 0;
235:                    increment = 0;
236:                    prevIndex = 0;
237:
238:                    do {
239:                        while (prevIndex < currIndex) {
240:                            /* Note that some virtual documents could not exist at all in some index (in which
241:                             * case we extend the size list with zeroes). */
242:                            if (sizesSize[prevIndex] > currDoc)
243:                                increment += index[prevIndex].sizes
244:                                        .getInt(currDoc);
245:                            prevIndex++;
246:                        }
247:                        i = index[currIndex];
248:                        ii = indexIterator[currIndex];
249:
250:                        if (i.hasCounts) {
251:                            count = ii.count();
252:                            if (i.hasPositions) {
253:                                temp = ii.positionArray();
254:                                for (int k = count; k-- != 0;)
255:                                    position[totalCount + k] = temp[k]
256:                                            + increment;
257:                            }
258:                            totalCount += count;
259:                        }
260:
261:                        // If we just wrote the last document pointer of this term in index j, we dequeue it.
262:                        if (--frequency[currIndex] == 0)
263:                            documentQueue.dequeue();
264:                        else {
265:                            doc[currIndex] = ii.nextDocument();
266:                            documentQueue.changed();
267:                        }
268:                    } while (!documentQueue.isEmpty()
269:                            && doc[currIndex = documentQueue.firstInt()] == currDoc);
270:
271:                    if (totalCount > maxCount)
272:                        maxCount = totalCount;
273:
274:                    if (hasCounts) {
275:                        cacheBitStreamOut.writeGamma(totalCount);
276:                        if (hasPositions) {
277:                            cacheBitStreamOut.writeDelta(position[0]);
278:                            for (int k = 1; k < totalCount; k++)
279:                                cacheBitStreamOut.writeDelta(position[k]
280:                                        - position[k - 1] - 1);
281:                        }
282:                    }
283:
284:                    prevDoc = currDoc;
285:                }
286:
287:                // Finally, we pour the data into the actual index.
288:
289:                indexWriter.newInvertedList();
290:                indexWriter.writeFrequency(totalFrequency);
291:                cacheBitStreamOut.align();
292:                final InputBitStream ibs;
293:
294:                if (cacheBitStreamOut.buffer() != null)
295:                    ibs = cacheBitStreamInWrapper;
296:                else {
297:                    cacheBitStreamOut.flush();
298:                    ibs = cacheBitStreamIn;
299:                    ibs.flush();
300:                }
301:
302:                ibs.position(0);
303:
304:                currDoc = -1;
305:                for (int j = totalFrequency; j-- != 0;) {
306:                    obs = indexWriter.newDocumentRecord();
307:                    indexWriter.writeDocumentPointer(obs, currDoc = ibs
308:                            .readDelta()
309:                            + currDoc + 1);
310:                    count = ibs.readGamma();
311:                    if (hasCounts) {
312:                        indexWriter.writePositionCount(obs, count);
313:                        if (hasPositions) {
314:                            position[0] = ibs.readDelta();
315:                            for (int k = 1; k < count; k++)
316:                                position[k] = position[k - 1] + ibs.readDelta()
317:                                        + 1;
318:                            indexWriter
319:                                    .writeDocumentPositions(obs, position, 0,
320:                                            count, size != null ? size[currDoc]
321:                                                    : -1);
322:                        }
323:                    }
324:                }
325:                return totalFrequency;
326:            }
327:
328:            public void run() throws ConfigurationException, IOException {
329:                super .run();
330:                cacheBitStreamOut.close();
331:                tempFile.delete();
332:            }
333:
334:            public static void main(String arg[])
335:                    throws ConfigurationException, SecurityException,
336:                    JSAPException, IOException, URISyntaxException,
337:                    ClassNotFoundException, InstantiationException,
338:                    IllegalAccessException, InvocationTargetException,
339:                    NoSuchMethodException {
340:                Combine.main(arg, Paste.class);
341:            }
342:        }
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