| /* |
| * Licensed to the Apache Software Foundation (ASF) under one or more |
| * contributor license agreements. See the NOTICE file distributed with |
| * this work for additional information regarding copyright ownership. |
| * The ASF licenses this file to You under the Apache License, Version 2.0 |
| * (the "License"); you may not use this file except in compliance with |
| * the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| package org.apache.nutch.crawl; |
| |
| import java.io.IOException; |
| import java.lang.invoke.MethodHandles; |
| import java.text.SimpleDateFormat; |
| import java.util.ArrayList; |
| import java.util.Iterator; |
| import java.util.Random; |
| |
| import org.slf4j.Logger; |
| import org.slf4j.LoggerFactory; |
| import org.apache.hadoop.conf.Configuration; |
| import org.apache.hadoop.conf.Configured; |
| import org.apache.hadoop.fs.FileSystem; |
| import org.apache.hadoop.fs.Path; |
| import org.apache.hadoop.io.Text; |
| import org.apache.hadoop.mapreduce.Job; |
| import org.apache.hadoop.mapreduce.Reducer; |
| import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; |
| import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; |
| import org.apache.hadoop.mapreduce.lib.output.MapFileOutputFormat; |
| import org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat; |
| import org.apache.hadoop.util.StringUtils; |
| import org.apache.hadoop.util.Tool; |
| import org.apache.hadoop.util.ToolRunner; |
| import org.apache.nutch.util.NutchConfiguration; |
| import org.apache.nutch.util.NutchJob; |
| import org.apache.nutch.util.TimingUtil; |
| |
| /** |
| * This tool merges several LinkDb-s into one, optionally filtering URLs through |
| * the current URLFilters, to skip prohibited URLs and links. |
| * |
| * <p> |
| * It's possible to use this tool just for filtering - in that case only one |
| * LinkDb should be specified in arguments. |
| * </p> |
| * <p> |
| * If more than one LinkDb contains information about the same URL, all inlinks |
| * are accumulated, but only at most <code>linkdb.max.inlinks</code> inlinks will |
| * ever be added. |
| * </p> |
| * <p> |
| * If activated, URLFilters will be applied to both the target URLs and to any |
| * incoming link URL. If a target URL is prohibited, all inlinks to that target |
| * will be removed, including the target URL. If some of incoming links are |
| * prohibited, only they will be removed, and they won't count when checking the |
| * above-mentioned maximum limit. |
| * |
| * @author Andrzej Bialecki |
| */ |
| public class LinkDbMerger extends Configured implements Tool { |
| private static final Logger LOG = LoggerFactory |
| .getLogger(MethodHandles.lookup().lookupClass()); |
| |
| public LinkDbMerger() { |
| |
| } |
| |
| public LinkDbMerger(Configuration conf) { |
| setConf(conf); |
| } |
| |
| public static class LinkDbMergeReducer extends |
| Reducer<Text, Inlinks, Text, Inlinks> { |
| |
| private int maxInlinks; |
| |
| public void setup(Reducer<Text, Inlinks, Text, Inlinks>.Context context) { |
| Configuration conf = context.getConfiguration(); |
| maxInlinks = conf.getInt("linkdb.max.inlinks", 10000); |
| } |
| |
| public void reduce(Text key, Iterable<Inlinks> values, Context context) |
| throws IOException, InterruptedException { |
| |
| Inlinks result = new Inlinks(); |
| |
| for (Inlinks inlinks : values) { |
| |
| int end = Math.min(maxInlinks - result.size(), inlinks.size()); |
| Iterator<Inlink> it = inlinks.iterator(); |
| int i = 0; |
| while (it.hasNext() && i++ < end) { |
| result.add(it.next()); |
| } |
| } |
| if (result.size() == 0) |
| return; |
| context.write(key, result); |
| |
| } |
| } |
| |
| public void close() throws IOException { |
| } |
| |
| public void merge(Path output, Path[] dbs, boolean normalize, boolean filter) |
| throws Exception { |
| SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss"); |
| long start = System.currentTimeMillis(); |
| LOG.info("LinkDb merge: starting at " + sdf.format(start)); |
| |
| Job job = createMergeJob(getConf(), output, normalize, filter); |
| for (int i = 0; i < dbs.length; i++) { |
| FileInputFormat.addInputPath(job, new Path(dbs[i], LinkDb.CURRENT_NAME)); |
| } |
| |
| try { |
| boolean success = job.waitForCompletion(true); |
| if (!success) { |
| String message = "LinkDbMerge job did not succeed, job status:" |
| + job.getStatus().getState() + ", reason: " |
| + job.getStatus().getFailureInfo(); |
| LOG.error(message); |
| throw new RuntimeException(message); |
| } |
| } catch (IOException | InterruptedException | ClassNotFoundException e) { |
| LOG.error("LinkDbMerge job failed: {}", e.getMessage()); |
| throw e; |
| } |
| FileSystem fs = output.getFileSystem(getConf()); |
| fs.mkdirs(output); |
| fs.rename(FileOutputFormat.getOutputPath(job), new Path(output, |
| LinkDb.CURRENT_NAME)); |
| |
| long end = System.currentTimeMillis(); |
| LOG.info("LinkDb merge: finished at " + sdf.format(end) + ", elapsed: " |
| + TimingUtil.elapsedTime(start, end)); |
| } |
| |
| public static Job createMergeJob(Configuration config, Path linkDb, |
| boolean normalize, boolean filter) throws IOException { |
| Path newLinkDb = new Path(linkDb, |
| "merge-" + Integer.toString(new Random().nextInt(Integer.MAX_VALUE))); |
| |
| Job job = NutchJob.getInstance(config); |
| job.setJobName("linkdb merge " + linkDb); |
| |
| Configuration conf = job.getConfiguration(); |
| job.setInputFormatClass(SequenceFileInputFormat.class); |
| |
| job.setMapperClass(LinkDbFilter.class); |
| conf.setBoolean(LinkDbFilter.URL_NORMALIZING, normalize); |
| conf.setBoolean(LinkDbFilter.URL_FILTERING, filter); |
| job.setJarByClass(LinkDbMerger.class); |
| job.setReducerClass(LinkDbMergeReducer.class); |
| |
| FileOutputFormat.setOutputPath(job, newLinkDb); |
| job.setOutputFormatClass(MapFileOutputFormat.class); |
| conf.setBoolean("mapreduce.output.fileoutputformat.compress", true); |
| job.setOutputKeyClass(Text.class); |
| job.setOutputValueClass(Inlinks.class); |
| |
| // https://issues.apache.org/jira/browse/NUTCH-1069 |
| conf.setBoolean("mapreduce.fileoutputcommitter.marksuccessfuljobs", false); |
| |
| return job; |
| } |
| |
| /** |
| * @param args |
| */ |
| public static void main(String[] args) throws Exception { |
| int res = ToolRunner.run(NutchConfiguration.create(), new LinkDbMerger(), |
| args); |
| System.exit(res); |
| } |
| |
| public int run(String[] args) throws Exception { |
| if (args.length < 2) { |
| System.err |
| .println("Usage: LinkDbMerger <output_linkdb> <linkdb1> [<linkdb2> <linkdb3> ...] [-normalize] [-filter]"); |
| System.err.println("\toutput_linkdb\toutput LinkDb"); |
| System.err |
| .println("\tlinkdb1 ...\tinput LinkDb-s (single input LinkDb is ok)"); |
| System.err |
| .println("\t-normalize\tuse URLNormalizer on both fromUrls and toUrls in linkdb(s) (usually not needed)"); |
| System.err |
| .println("\t-filter\tuse URLFilters on both fromUrls and toUrls in linkdb(s)"); |
| return -1; |
| } |
| Path output = new Path(args[0]); |
| ArrayList<Path> dbs = new ArrayList<>(); |
| boolean normalize = false; |
| boolean filter = false; |
| for (int i = 1; i < args.length; i++) { |
| if (args[i].equals("-filter")) { |
| filter = true; |
| } else if (args[i].equals("-normalize")) { |
| normalize = true; |
| } else |
| dbs.add(new Path(args[i])); |
| } |
| try { |
| merge(output, dbs.toArray(new Path[dbs.size()]), normalize, filter); |
| return 0; |
| } catch (Exception e) { |
| LOG.error("LinkDbMerger: " + StringUtils.stringifyException(e)); |
| return -1; |
| } |
| } |
| |
| } |