Examples of org.apache.accumulo.core.file.FileOperations.openReader()

Class org.apache.accumulo.core.file.FileOperations

Examples of org.apache.accumulo.core.file.FileOperations.openReader()

org.apache.accumulo.core.file.FileOperations.openReader()
Open a reader that will not be seeked giving an initial seek location. This is useful for file operations that only need to scan data within a range and do not need to seek. Therefore file metadata such as indexes does not need to be kept in memory while the file is scanned. Also seek optimizations like bloom filters do not need to be loaded.

      mfw = null; // set this to null so we do not try to close it again in finally if the close fails
      mfwTmp.close(); // if the close fails it will cause the compaction to fail
      
      // Verify the file, since hadoop 0.20.2 sometimes lies about the success of close()
      try {
        FileSKVIterator openReader = fileFactory.openReader(outputFile, false, fs, conf, tableConf);
        openReader.close();
      } catch (IOException ex) {
        log.error("Verification of successful compaction fails!!! " + extent + " " + outputFile, ex);
        throw ex;
      }

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        FileSKVIterator reader;
        
        AccumuloConfiguration tableConf = ServerConfiguration.getTableConfiguration(extent.getTableId().toString());
        
        reader = fileFactory.openReader(mapFile, false, fs, conf, tableConf);
        
        readers.add(reader);
        
        SortedKeyValueIterator<Key,Value> iter = new ProblemReportingIterator(extent.getTableId().toString(), mapFile, false, reader);

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    Map<String,Pair<Key,Key>> falks = new HashMap<String,Pair<Key,Key>>();
    
    for (Entry<String,DataFileValue> entry : files.entrySet()) {
      String file = entry.getKey();
      FileSKVIterator openReader = fileFactory.openReader(file, true, fs, conf, acuTableConf);
      try {
        Key first = openReader.getFirstKey();
        Key last = openReader.getLastKey();
        falks.put(file, new Pair<Key,Key>(first, last));
      } finally {

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        FileSKVIterator reader;
        
        AccumuloConfiguration tableConf = AccumuloConfiguration.getTableConfiguration(HdfsZooInstance.getInstance().getInstanceID(), extent.getTableId()
            .toString());
        
        reader = fileFactory.openReader(mapFile, false, fs, conf, tableConf);
        
        readers.add(reader);
        iters.add(new ProblemReportingIterator(extent.getTableId().toString(), mapFile, false, reader));
        
      } catch (Throwable e) {

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      mfw = null; // set this to null so we do not try to close it again in finally if the close fails
      mfwTmp.close(); // if the close fails it will cause the compaction to fail
      
      // Verify the file, since hadoop 0.20.2 sometimes lies about the success of close()
      try {
        FileSKVIterator openReader = fileFactory.openReader(compactTmpName, false, fs, conf, tableConf);
        openReader.close();
      } catch (IOException ex) {
        log.error("Verification of successful major compaction fails!!!", ex);
        throw ex;
      }

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        mfw.close();
        
        // Verify the file, since hadoop 0.20.2 sometimes lies about the success of close()
        try {
          FileSKVIterator openReader = fileOps.openReader(dirname, false, fs, conf, tableConf);
          openReader.close();
        } catch (IOException ex) {
          log.error("Verification of successful file write fails!!!", ex);
          throw ex;
        }

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    Map<String,Pair<Key,Key>> falks = new HashMap<String,Pair<Key,Key>>();
    
    for (Entry<String,DataFileValue> entry : files.entrySet()) {
      String file = entry.getKey();
      FileSKVIterator openReader = fileFactory.openReader(file, true, fs, conf, acuTableConf);
      try {
        Key first = openReader.getFirstKey();
        Key last = openReader.getLastKey();
        falks.put(file, new Pair<Key,Key>(first, last));
      } finally {

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