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DemoCrawlWorkflow.java
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/
DemoCrawlWorkflow.java
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/*
* Copyright 2009-2012 Scale Unlimited
*
* Licensed 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 bixo.examples.crawl;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Properties;
import java.util.Set;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.JobConf;
import org.apache.log4j.Logger;
import bixo.config.FetcherPolicy;
import bixo.config.ParserPolicy;
import bixo.config.UserAgent;
import bixo.datum.FetchedDatum;
import bixo.datum.ParsedDatum;
import bixo.datum.UrlDatum;
import bixo.datum.UrlStatus;
import bixo.fetcher.SimpleHttpFetcher;
import bixo.operations.BaseScoreGenerator;
import bixo.operations.FixedScoreGenerator;
import bixo.operations.NormalizeUrlFunction;
import bixo.operations.UrlFilter;
import bixo.parser.BoilerpipeContentExtractor;
import bixo.parser.SimpleLinkExtractor;
import bixo.parser.SimpleParser;
import bixo.pipes.FetchPipe;
import bixo.pipes.ParsePipe;
import bixo.urls.BaseUrlFilter;
import bixo.urls.SimpleUrlNormalizer;
import cascading.flow.Flow;
import cascading.flow.FlowConnector;
import cascading.flow.FlowProcess;
import cascading.operation.BaseOperation;
import cascading.operation.Function;
import cascading.operation.FunctionCall;
import cascading.operation.OperationCall;
import cascading.pipe.Each;
import cascading.pipe.Every;
import cascading.pipe.GroupBy;
import cascading.pipe.Pipe;
import cascading.scheme.SequenceFile;
import cascading.scheme.TextLine;
import cascading.scheme.WritableSequenceFile;
import cascading.tap.Hfs;
import cascading.tap.Tap;
import cascading.tuple.Fields;
import cascading.tuple.TupleEntry;
import com.bixolabs.cascading.BaseSplitter;
import com.bixolabs.cascading.HadoopUtils;
import com.bixolabs.cascading.NullContext;
import com.bixolabs.cascading.SplitterAssembly;
import com.bixolabs.cascading.TupleLogger;
@SuppressWarnings("deprecation")
public class DemoCrawlWorkflow {
private static final Logger LOGGER = Logger.getLogger(DemoCrawlWorkflow.class);
@SuppressWarnings("serial")
private static class SplitFetchedUnfetchedCrawlDatums extends BaseSplitter {
@Override
public String getLHSName() {
return "fetched unfetched UrlDatums";
}
@Override
// LHS represents unfetched tuples
public boolean isLHS(TupleEntry tupleEntry) {
CrawlDbDatum datum = new CrawlDbDatum(tupleEntry);
UrlStatus status = datum.getLastStatus();
if (status == UrlStatus.UNFETCHED
|| status == UrlStatus.SKIPPED_DEFERRED
|| status == UrlStatus.SKIPPED_BY_SCORER
|| status == UrlStatus.SKIPPED_BY_SCORE
|| status == UrlStatus.SKIPPED_TIME_LIMIT
|| status == UrlStatus.SKIPPED_INTERRUPTED
|| status == UrlStatus.SKIPPED_INEFFICIENT
|| status == UrlStatus.ABORTED_SLOW_RESPONSE
|| status == UrlStatus.ERROR_IOEXCEPTION) {
return true;
}
return false;
}
}
@SuppressWarnings("serial")
private static class CreateUrlDatumFromCrawlDbFunction extends BaseOperation<NullContext> implements Function<NullContext> {
public CreateUrlDatumFromCrawlDbFunction() {
super(UrlDatum.FIELDS);
}
@Override
public void prepare(FlowProcess process, OperationCall<NullContext> operationCall) {
LOGGER.info("Starting creation of URLs from crawldb");
}
@Override
public void cleanup(FlowProcess process, OperationCall<NullContext> operationCall) {
LOGGER.info("Ending creation of URLs from status");
}
@Override
public void operate(FlowProcess flowProcess, FunctionCall<NullContext> funcCall) {
CrawlDbDatum datum = new CrawlDbDatum(funcCall.getArguments());
UrlDatum urlDatum = new UrlDatum(datum.getUrl());
urlDatum.setPayloadValue(CrawlDbDatum.LAST_FETCHED_FIELD, datum.getLastFetched());
urlDatum.setPayloadValue(CrawlDbDatum.LAST_UPDATED_FIELD, datum.getLastUpdated());
urlDatum.setPayloadValue(CrawlDbDatum.LAST_STATUS_FIELD, datum.getLastStatus().name());
urlDatum.setPayloadValue(CrawlDbDatum.CRAWL_DEPTH, datum.getCrawlDepth());
funcCall.getOutputCollector().add(urlDatum.getTuple());
}
}
public static Flow createFlow(Path curWorkingDirPath, Path crawlDbPath, FetcherPolicy fetcherPolicy, UserAgent userAgent, BaseUrlFilter urlFilter, DemoCrawlToolOptions options) throws Throwable {
JobConf conf = HadoopUtils.getDefaultJobConf(CrawlConfig.CRAWL_STACKSIZE_KB);
int numReducers = HadoopUtils.getNumReducers(conf);
conf.setNumReduceTasks(numReducers);
Properties props = HadoopUtils.getDefaultProperties(DemoCrawlWorkflow.class, options.isDebugLogging(), conf);
FileSystem fs = curWorkingDirPath.getFileSystem(conf);
// Input : the crawldb
if (!fs.exists(crawlDbPath)) {
throw new RuntimeException("CrawlDb not found");
}
// Our crawl db is defined by the CrawlDbDatum
Tap inputSource = new Hfs(new SequenceFile(CrawlDbDatum.FIELDS), crawlDbPath.toString());
Pipe importPipe = new Pipe("import pipe");
// Split into tuples that are to be fetched and that have already been fetched
SplitterAssembly splitter = new SplitterAssembly(importPipe, new SplitFetchedUnfetchedCrawlDatums());
Pipe finishedDatumsFromDb = splitter.getRHSPipe();
Pipe urlsToFetchPipe = new Pipe("urls to Fetch", splitter.getLHSPipe());
// Convert the urlsToFetchPipe so that we now deal with UrlDatums.
urlsToFetchPipe = new Each(urlsToFetchPipe, new CreateUrlDatumFromCrawlDbFunction());
// A TupleLogger is a good way to follow the tuples around in a flow. You can enable the output
// of tuples by setting options.setDebugLogging() to true.
urlsToFetchPipe = TupleLogger.makePipe(urlsToFetchPipe, true);
// Create the output sinks :
// crawldb
// content
// parse
// status
Path outCrawlDbPath = new Path(curWorkingDirPath, CrawlConfig.CRAWLDB_SUBDIR_NAME);
Tap loopCrawldbSink = new Hfs(new SequenceFile(CrawlDbDatum.FIELDS), outCrawlDbPath.toString());
Path contentDirPath = new Path(curWorkingDirPath, CrawlConfig.CONTENT_SUBDIR_NAME);
Tap contentSink = new Hfs(new SequenceFile(FetchedDatum.FIELDS), contentDirPath.toString());
Path parseDirPath = new Path(curWorkingDirPath, CrawlConfig.PARSE_SUBDIR_NAME);
Tap parseSink = new Hfs(new SequenceFile(ParsedDatum.FIELDS), parseDirPath.toString());
Path statusDirPath = new Path(curWorkingDirPath, CrawlConfig.STATUS_SUBDIR_NAME);
Tap statusSink = new Hfs(new TextLine(), statusDirPath.toString());
// Create the sub-assembly that runs the fetch job
SimpleHttpFetcher fetcher = new SimpleHttpFetcher(options.getMaxThreads(), fetcherPolicy, userAgent);
fetcher.setMaxRetryCount(CrawlConfig.MAX_RETRIES);
fetcher.setSocketTimeout(CrawlConfig.SOCKET_TIMEOUT);
fetcher.setConnectionTimeout(CrawlConfig.CONNECTION_TIMEOUT);
// You can also provide a set of mime types you want to restrict what content type you
// want to deal with - for now keep it simple.
Set<String> validMimeTypes = new HashSet<String>();
validMimeTypes.add("text/plain");
validMimeTypes.add("text/html");
fetcherPolicy.setValidMimeTypes(validMimeTypes);
// The scorer is used by the FetchPipe to assign a score to every URL that passes the
// robots.txt processing. The score is used to sort URLs such that higher scoring URLs
// are fetched first. If URLs are skipped for any reason(s) lower scoring URLs are skipped.
BaseScoreGenerator scorer = new FixedScoreGenerator();
FetchPipe fetchPipe = new FetchPipe(urlsToFetchPipe, scorer, fetcher, numReducers);
Pipe statusPipe = new Pipe("status pipe", fetchPipe.getStatusTailPipe());
Pipe contentPipe = new Pipe("content pipe", fetchPipe.getContentTailPipe());
contentPipe = TupleLogger.makePipe(contentPipe, true);
// Take content and split it into content output plus parse to extract URLs.
SimpleParser parser;
if (options.isUseBoilerpipe()) {
parser = new SimpleParser(new BoilerpipeContentExtractor(), new SimpleLinkExtractor(), new ParserPolicy());
} else {
parser = new SimpleParser();
}
parser.setExtractLanguage(false);
ParsePipe parsePipe = new ParsePipe(contentPipe, parser);
Tap writableSeqFileSink = null;
Pipe writableSeqFileDataPipe = null;
// Let's output a WritableSequenceFile as an example - this file can
// then be used as input when working with Mahout.
writableSeqFileDataPipe = new Pipe("writable seqfile data", new Each(parsePipe.getTailPipe(), new CreateWritableSeqFileData()));
Path writableSeqFileDataPath = new Path(curWorkingDirPath, CrawlConfig.EXTRACTED_TEXT_SUBDIR_NAME);
writableSeqFileSink = new Hfs(new WritableSequenceFile(new Fields(CrawlConfig.WRITABLE_SEQ_FILE_KEY_FN, CrawlConfig.WRITABLE_SEQ_FILE_VALUE_FN), Text.class, Text.class),
writableSeqFileDataPath.toString());
Pipe urlFromOutlinksPipe = new Pipe("url from outlinks", parsePipe.getTailPipe());
urlFromOutlinksPipe = new Each(urlFromOutlinksPipe, new CreateUrlDatumFromOutlinksFunction());
if (urlFilter != null) {
urlFromOutlinksPipe = new Each(urlFromOutlinksPipe, new UrlFilter(urlFilter));
}
urlFromOutlinksPipe = new Each(urlFromOutlinksPipe, new NormalizeUrlFunction(new SimpleUrlNormalizer()));
urlFromOutlinksPipe = TupleLogger.makePipe(urlFromOutlinksPipe, true);
// Take status and output urls from it
Pipe urlFromFetchPipe = new Pipe("url from fetch");
urlFromFetchPipe = new Each(statusPipe, new CreateUrlDatumFromStatusFunction());
urlFromFetchPipe = TupleLogger.makePipe(urlFromFetchPipe, true);
// Finally join the URLs we get from parsing content with the URLs we got
// from the status ouput, and the urls we didn't process from the db so that
// we have a unified stream of all known URLs for the crawldb.
Pipe finishedUrlsFromDbPipe = new Each(finishedDatumsFromDb, new CreateUrlDatumFromCrawlDbFunction());
finishedUrlsFromDbPipe = TupleLogger.makePipe(finishedUrlsFromDbPipe, true);
// NOTE : Ideally you would just do a CoGroup instead of converting all the pipes to emit UrlDatums
// and then doing the extra step of converting from UrlDatum to CrawlDbDatum.
// The reason this isn't being done here is because we are sharing LatestUrlDatumBuffer() with JDBCCrawlTool
Pipe crawlDbPipe = new GroupBy("crawldb pipe", Pipe.pipes(urlFromFetchPipe, urlFromOutlinksPipe, finishedUrlsFromDbPipe),
new Fields(UrlDatum.URL_FN));
crawlDbPipe = new Every(crawlDbPipe, new LatestUrlDatumBuffer(), Fields.RESULTS);
Pipe outputPipe = new Pipe ("output pipe");
outputPipe = new Each(crawlDbPipe, new CreateCrawlDbDatumFromUrlFunction());
// Create the output map that connects each tail pipe to the appropriate sink.
Map<String, Tap> sinkMap = new HashMap<String, Tap>();
sinkMap.put(statusPipe.getName(), statusSink);
sinkMap.put(contentPipe.getName(), contentSink);
sinkMap.put(ParsePipe.PARSE_PIPE_NAME, parseSink);
sinkMap.put(crawlDbPipe.getName(), loopCrawldbSink);
sinkMap.put(writableSeqFileDataPipe.getName(), writableSeqFileSink);
FlowConnector flowConnector = new FlowConnector(props);
Flow flow = flowConnector.connect(inputSource, sinkMap, statusPipe, contentPipe, parsePipe.getTailPipe(), outputPipe, writableSeqFileDataPipe);
return flow;
}
}