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Example 21 with DefaultCodec

use of org.apache.hadoop.io.compress.DefaultCodec in project hive by apache.

the class TestRCFile method testGetColumn.

/**
 * Tests {@link RCFile.Reader#getColumn(int, BytesRefArrayWritable) } method.
 * @throws IOException
 */
@Test
public void testGetColumn() throws IOException {
    cleanup();
    RCFileOutputFormat.setColumnNumber(conf, expectedFieldsData.length);
    RCFile.Writer writer = new RCFile.Writer(fs, conf, file, null, RCFile.createMetadata(new Text("apple"), new Text("block"), new Text("cat"), new Text("dog")), new DefaultCodec());
    byte[][] record_1 = { "123".getBytes("UTF-8"), "456".getBytes("UTF-8"), "789".getBytes("UTF-8"), "1000".getBytes("UTF-8"), "5.3".getBytes("UTF-8"), "hive and hadoop".getBytes("UTF-8"), new byte[0], "NULL".getBytes("UTF-8") };
    byte[][] record_2 = { "100".getBytes("UTF-8"), "200".getBytes("UTF-8"), "123".getBytes("UTF-8"), "1000".getBytes("UTF-8"), "5.3".getBytes("UTF-8"), "hive and hadoop".getBytes("UTF-8"), new byte[0], "NULL".getBytes("UTF-8") };
    BytesRefArrayWritable bytes = new BytesRefArrayWritable(record_1.length);
    for (int i = 0; i < record_1.length; i++) {
        BytesRefWritable cu = new BytesRefWritable(record_1[i], 0, record_1[i].length);
        bytes.set(i, cu);
    }
    writer.append(bytes);
    bytes.clear();
    for (int i = 0; i < record_2.length; i++) {
        BytesRefWritable cu = new BytesRefWritable(record_2[i], 0, record_2[i].length);
        bytes.set(i, cu);
    }
    writer.append(bytes);
    writer.close();
    RCFile.Reader reader = new RCFile.Reader(fs, file, conf);
    LongWritable rowID = new LongWritable();
    assertTrue(reader.next(rowID));
    assertEquals(rowID.get(), 0L);
    assertTrue(reader.next(rowID));
    assertEquals(rowID.get(), 1L);
    BytesRefArrayWritable result = null;
    BytesRefWritable brw;
    for (int col = 0; col < 8; col++) {
        BytesRefArrayWritable result2 = reader.getColumn(col, result);
        if (result == null) {
            assertNotNull(result2);
            result = result2;
        } else {
            // #getColumn(2) should return the instance passed in:
            assertSame(result2, result);
        }
        // each column has height of 2:
        assertEquals(2, result.size());
        for (int row = 0; row < result.size(); row++) {
            brw = result.get(row);
            int start = brw.getStart();
            int len = brw.getLength();
            byte[] actualData = Arrays.copyOfRange(brw.getData(), start, start + len);
            byte[] expectedData = (row == 0) ? record_1[col] : record_2[col];
            assertArrayEquals("col=" + col + " : row=" + row, expectedData, actualData);
        }
        result.clear();
    }
    reader.close();
}
Also used : BytesRefArrayWritable(org.apache.hadoop.hive.serde2.columnar.BytesRefArrayWritable) DefaultCodec(org.apache.hadoop.io.compress.DefaultCodec) RecordReader(org.apache.hadoop.mapred.RecordReader) Text(org.apache.hadoop.io.Text) LongWritable(org.apache.hadoop.io.LongWritable) BytesRefWritable(org.apache.hadoop.hive.serde2.columnar.BytesRefWritable) Test(org.junit.Test)

Example 22 with DefaultCodec

use of org.apache.hadoop.io.compress.DefaultCodec in project nutch by apache.

the class ParseOutputFormat method getRecordWriter.

public RecordWriter<Text, Parse> getRecordWriter(TaskAttemptContext context) throws IOException {
    Configuration conf = context.getConfiguration();
    String name = getUniqueFile(context, "part");
    Path dir = FileOutputFormat.getOutputPath(context);
    FileSystem fs = dir.getFileSystem(context.getConfiguration());
    if (conf.getBoolean("parse.filter.urls", true)) {
        filters = new URLFilters(conf);
        exemptionFilters = new URLExemptionFilters(conf);
    }
    if (conf.getBoolean("parse.normalize.urls", true)) {
        normalizers = new URLNormalizers(conf, URLNormalizers.SCOPE_OUTLINK);
    }
    this.scfilters = new ScoringFilters(conf);
    final int interval = conf.getInt("db.fetch.interval.default", 2592000);
    final boolean ignoreInternalLinks = conf.getBoolean("db.ignore.internal.links", false);
    final boolean ignoreExternalLinks = conf.getBoolean("db.ignore.external.links", false);
    final String ignoreExternalLinksMode = conf.get("db.ignore.external.links.mode", "byHost");
    // NUTCH-2435 - parameter "parser.store.text" allowing to choose whether to
    // store 'parse_text' directory or not:
    final boolean storeText = conf.getBoolean("parser.store.text", true);
    int maxOutlinksPerPage = conf.getInt("db.max.outlinks.per.page", 100);
    final boolean isParsing = conf.getBoolean("fetcher.parse", true);
    final int maxOutlinks = (maxOutlinksPerPage < 0) ? Integer.MAX_VALUE : maxOutlinksPerPage;
    final CompressionType compType = SequenceFileOutputFormat.getOutputCompressionType(context);
    Path out = FileOutputFormat.getOutputPath(context);
    Path text = new Path(new Path(out, ParseText.DIR_NAME), name);
    Path data = new Path(new Path(out, ParseData.DIR_NAME), name);
    Path crawl = new Path(new Path(out, CrawlDatum.PARSE_DIR_NAME), name);
    final String[] parseMDtoCrawlDB = conf.get("db.parsemeta.to.crawldb", "").split(" *, *");
    // textOut Options
    final MapFile.Writer textOut;
    if (storeText) {
        Option tKeyClassOpt = (Option) MapFile.Writer.keyClass(Text.class);
        org.apache.hadoop.io.SequenceFile.Writer.Option tValClassOpt = SequenceFile.Writer.valueClass(ParseText.class);
        org.apache.hadoop.io.SequenceFile.Writer.Option tProgressOpt = SequenceFile.Writer.progressable((Progressable) context);
        org.apache.hadoop.io.SequenceFile.Writer.Option tCompOpt = SequenceFile.Writer.compression(CompressionType.RECORD);
        textOut = new MapFile.Writer(conf, text, tKeyClassOpt, tValClassOpt, tCompOpt, tProgressOpt);
    } else {
        textOut = null;
    }
    // dataOut Options
    Option dKeyClassOpt = (Option) MapFile.Writer.keyClass(Text.class);
    org.apache.hadoop.io.SequenceFile.Writer.Option dValClassOpt = SequenceFile.Writer.valueClass(ParseData.class);
    org.apache.hadoop.io.SequenceFile.Writer.Option dProgressOpt = SequenceFile.Writer.progressable((Progressable) context);
    org.apache.hadoop.io.SequenceFile.Writer.Option dCompOpt = SequenceFile.Writer.compression(compType);
    final MapFile.Writer dataOut = new MapFile.Writer(conf, data, dKeyClassOpt, dValClassOpt, dCompOpt, dProgressOpt);
    final SequenceFile.Writer crawlOut = SequenceFile.createWriter(conf, SequenceFile.Writer.file(crawl), SequenceFile.Writer.keyClass(Text.class), SequenceFile.Writer.valueClass(CrawlDatum.class), SequenceFile.Writer.bufferSize(fs.getConf().getInt("io.file.buffer.size", 4096)), SequenceFile.Writer.replication(fs.getDefaultReplication(crawl)), SequenceFile.Writer.blockSize(1073741824), SequenceFile.Writer.compression(compType, new DefaultCodec()), SequenceFile.Writer.progressable((Progressable) context), SequenceFile.Writer.metadata(new Metadata()));
    return new RecordWriter<Text, Parse>() {

        public void write(Text key, Parse parse) throws IOException {
            String fromUrl = key.toString();
            // host or domain name of the source URL
            String origin = null;
            if (textOut != null) {
                textOut.append(key, new ParseText(parse.getText()));
            }
            ParseData parseData = parse.getData();
            // recover the signature prepared by Fetcher or ParseSegment
            String sig = parseData.getContentMeta().get(Nutch.SIGNATURE_KEY);
            if (sig != null) {
                byte[] signature = StringUtil.fromHexString(sig);
                if (signature != null) {
                    // append a CrawlDatum with a signature
                    CrawlDatum d = new CrawlDatum(CrawlDatum.STATUS_SIGNATURE, 0);
                    d.setSignature(signature);
                    crawlOut.append(key, d);
                }
            }
            // see if the parse metadata contain things that we'd like
            // to pass to the metadata of the crawlDB entry
            CrawlDatum parseMDCrawlDatum = null;
            for (String mdname : parseMDtoCrawlDB) {
                String mdvalue = parse.getData().getParseMeta().get(mdname);
                if (mdvalue != null) {
                    if (parseMDCrawlDatum == null)
                        parseMDCrawlDatum = new CrawlDatum(CrawlDatum.STATUS_PARSE_META, 0);
                    parseMDCrawlDatum.getMetaData().put(new Text(mdname), new Text(mdvalue));
                }
            }
            if (parseMDCrawlDatum != null)
                crawlOut.append(key, parseMDCrawlDatum);
            // need to determine origin (once for all outlinks)
            if (ignoreExternalLinks || ignoreInternalLinks) {
                URL originURL = new URL(fromUrl.toString());
                // based on domain?
                if ("bydomain".equalsIgnoreCase(ignoreExternalLinksMode)) {
                    origin = URLUtil.getDomainName(originURL).toLowerCase();
                } else // use host
                {
                    origin = originURL.getHost().toLowerCase();
                }
            }
            ParseStatus pstatus = parseData.getStatus();
            if (pstatus != null && pstatus.isSuccess() && pstatus.getMinorCode() == ParseStatus.SUCCESS_REDIRECT) {
                String newUrl = pstatus.getMessage();
                int refreshTime = Integer.valueOf(pstatus.getArgs()[1]);
                newUrl = filterNormalize(fromUrl, newUrl, origin, ignoreInternalLinks, ignoreExternalLinks, ignoreExternalLinksMode, filters, exemptionFilters, normalizers, URLNormalizers.SCOPE_FETCHER);
                if (newUrl != null) {
                    String reprUrl = URLUtil.chooseRepr(fromUrl, newUrl, refreshTime < Fetcher.PERM_REFRESH_TIME);
                    CrawlDatum newDatum = new CrawlDatum();
                    newDatum.setStatus(CrawlDatum.STATUS_LINKED);
                    if (reprUrl != null && !reprUrl.equals(newUrl)) {
                        newDatum.getMetaData().put(Nutch.WRITABLE_REPR_URL_KEY, new Text(reprUrl));
                    }
                    crawlOut.append(new Text(newUrl), newDatum);
                }
            }
            // collect outlinks for subsequent db update
            Outlink[] links = parseData.getOutlinks();
            int outlinksToStore = Math.min(maxOutlinks, links.length);
            int validCount = 0;
            CrawlDatum adjust = null;
            List<Entry<Text, CrawlDatum>> targets = new ArrayList<>(outlinksToStore);
            List<Outlink> outlinkList = new ArrayList<>(outlinksToStore);
            for (int i = 0; i < links.length && validCount < outlinksToStore; i++) {
                String toUrl = links[i].getToUrl();
                // only normalize and filter if fetcher.parse = false
                if (!isParsing) {
                    toUrl = ParseOutputFormat.filterNormalize(fromUrl, toUrl, origin, ignoreInternalLinks, ignoreExternalLinks, ignoreExternalLinksMode, filters, exemptionFilters, normalizers);
                    if (toUrl == null) {
                        continue;
                    }
                }
                CrawlDatum target = new CrawlDatum(CrawlDatum.STATUS_LINKED, interval);
                Text targetUrl = new Text(toUrl);
                // see if the outlink has any metadata attached
                // and if so pass that to the crawldatum so that
                // the initial score or distribution can use that
                MapWritable outlinkMD = links[i].getMetadata();
                if (outlinkMD != null) {
                    target.getMetaData().putAll(outlinkMD);
                }
                try {
                    scfilters.initialScore(targetUrl, target);
                } catch (ScoringFilterException e) {
                    LOG.warn("Cannot filter init score for url " + key + ", using default: " + e.getMessage());
                    target.setScore(0.0f);
                }
                targets.add(new SimpleEntry(targetUrl, target));
                // overwrite URL in Outlink object with normalized URL (NUTCH-1174)
                links[i].setUrl(toUrl);
                outlinkList.add(links[i]);
                validCount++;
            }
            try {
                // compute score contributions and adjustment to the original score
                adjust = scfilters.distributeScoreToOutlinks(key, parseData, targets, null, links.length);
            } catch (ScoringFilterException e) {
                LOG.warn("Cannot distribute score from " + key + ": " + e.getMessage());
            }
            for (Entry<Text, CrawlDatum> target : targets) {
                crawlOut.append(target.getKey(), target.getValue());
            }
            if (adjust != null)
                crawlOut.append(key, adjust);
            Outlink[] filteredLinks = outlinkList.toArray(new Outlink[outlinkList.size()]);
            parseData = new ParseData(parseData.getStatus(), parseData.getTitle(), filteredLinks, parseData.getContentMeta(), parseData.getParseMeta());
            dataOut.append(key, parseData);
            if (!parse.isCanonical()) {
                CrawlDatum datum = new CrawlDatum();
                datum.setStatus(CrawlDatum.STATUS_FETCH_SUCCESS);
                String timeString = parse.getData().getContentMeta().get(Nutch.FETCH_TIME_KEY);
                try {
                    datum.setFetchTime(Long.parseLong(timeString));
                } catch (Exception e) {
                    LOG.warn("Can't read fetch time for: " + key);
                    datum.setFetchTime(System.currentTimeMillis());
                }
                crawlOut.append(key, datum);
            }
        }

        public void close(TaskAttemptContext context) throws IOException {
            if (textOut != null)
                textOut.close();
            dataOut.close();
            crawlOut.close();
        }
    };
}
Also used : Configuration(org.apache.hadoop.conf.Configuration) Metadata(org.apache.hadoop.io.SequenceFile.Metadata) ArrayList(java.util.ArrayList) MapFile(org.apache.hadoop.io.MapFile) DefaultCodec(org.apache.hadoop.io.compress.DefaultCodec) URL(java.net.URL) Entry(java.util.Map.Entry) RecordWriter(org.apache.hadoop.mapreduce.RecordWriter) SequenceFile(org.apache.hadoop.io.SequenceFile) FileSystem(org.apache.hadoop.fs.FileSystem) ScoringFilters(org.apache.nutch.scoring.ScoringFilters) URLFilters(org.apache.nutch.net.URLFilters) Path(org.apache.hadoop.fs.Path) CrawlDatum(org.apache.nutch.crawl.CrawlDatum) Text(org.apache.hadoop.io.Text) TaskAttemptContext(org.apache.hadoop.mapreduce.TaskAttemptContext) MapWritable(org.apache.hadoop.io.MapWritable) MalformedURLException(java.net.MalformedURLException) ScoringFilterException(org.apache.nutch.scoring.ScoringFilterException) IOException(java.io.IOException) Progressable(org.apache.hadoop.util.Progressable) ScoringFilterException(org.apache.nutch.scoring.ScoringFilterException) Option(org.apache.hadoop.io.MapFile.Writer.Option) CompressionType(org.apache.hadoop.io.SequenceFile.CompressionType) URLExemptionFilters(org.apache.nutch.net.URLExemptionFilters) URLNormalizers(org.apache.nutch.net.URLNormalizers) RecordWriter(org.apache.hadoop.mapreduce.RecordWriter)

Aggregations

DefaultCodec (org.apache.hadoop.io.compress.DefaultCodec)22 Test (org.junit.Test)15 Path (org.apache.hadoop.fs.Path)11 Configuration (org.apache.hadoop.conf.Configuration)7 FileSystem (org.apache.hadoop.fs.FileSystem)7 Text (org.apache.hadoop.io.Text)7 GzipCodec (org.apache.hadoop.io.compress.GzipCodec)7 BytesRefArrayWritable (org.apache.hadoop.hive.serde2.columnar.BytesRefArrayWritable)5 BytesRefWritable (org.apache.hadoop.hive.serde2.columnar.BytesRefWritable)5 Writer (org.apache.hadoop.io.SequenceFile.Writer)4 Random (java.util.Random)3 LongWritable (org.apache.hadoop.io.LongWritable)3 Option (org.apache.hadoop.io.SequenceFile.Writer.Option)3 CompressionCodec (org.apache.hadoop.io.compress.CompressionCodec)3 RecordReader (org.apache.hadoop.mapred.RecordReader)3 FSDataInputStream (org.apache.hadoop.fs.FSDataInputStream)2 FSDataOutputStream (org.apache.hadoop.fs.FSDataOutputStream)2 LocalFileSystem (org.apache.hadoop.fs.LocalFileSystem)2 KeyValueCodec (org.apache.hadoop.hbase.codec.KeyValueCodec)2 RCFile (org.apache.hadoop.hive.ql.io.RCFile)2