Examples of FuzzyRowFilter

co.cask.cdap.data2.dataset2.lib.table.FuzzyRowFilter
This is inspired by HBase's FuzzyRowFilter. Filters data based on fuzzy row key. Performs fast-forwards during scanning. It takes pairs (row key, fuzzy info) to match row keys. Where fuzzy info is a byte array with 0 or 1 as its values:
- 0 - means that this byte in provided row key is fixed, i.e. row key's byte at same position must match
- 1 - means that this byte in provided row key is NOT fixed, i.e. row key's byte at this position can be different from the one in provided row key
Example: Let's assume row key format is userId_actionId_year_month. Length of userId is fixed and is 4, length of actionId is 2 and year and month are 4 and 2 bytes long respectively. Let's assume that we need to fetch all users that performed certain action (encoded as "99") in Jan of any year. Then the pair (row key, fuzzy info) would be the following: row key = "????_99_????_01" (one can use any value instead of "?") fuzzy info = "\x01\x01\x01\x01\x00\x00\x00\x00\x01\x01\x01\x01\x00\x00\x00" I.e. fuzzy info tells the matching mask is "????_99_????_01", where at ? can be any value.

Examples of co.cask.cdap.data2.dataset2.lib.table.FuzzyRowFilter

    ImmutablePair<byte[], byte[]> metricPair = entityCodec.paddedFuzzyEncode(MetricsEntityType.METRIC,
                                                                             metricPrefix, 0);
    ImmutablePair<byte[], byte[]> runIdPair = entityCodec.paddedFuzzyEncode(MetricsEntityType.RUN, runId, 0);


    // Use a FuzzyRowFilter to select the row and the use ColumnPrefixFilter to select tag column.
    return new FuzzyRowFilter(ImmutableList.of(ImmutablePair.of(
      Bytes.concat(contextPair.getFirst(), metricPair.getFirst(), runIdPair.getFirst()),
      Bytes.concat(contextPair.getSecond(), metricPair.getSecond(), runIdPair.getSecond())
    )));
  }

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Examples of co.cask.cdap.data2.dataset2.lib.table.FuzzyRowFilter

                                                                                  contextPrefix, 0);
        ImmutablePair<byte[], byte[]> metricPair = entityCodec.paddedFuzzyEncode(MetricsEntityType.METRIC,
                                                                                 metricPrefix, 0);
        ImmutablePair<byte[], byte[]> tagPair = entityCodec.paddedFuzzyEncode(MetricsEntityType.TAG, null, 0);
        ImmutablePair<byte[], byte[]> runIdPair = entityCodec.paddedFuzzyEncode(MetricsEntityType.RUN, null, 0);
        FuzzyRowFilter filter = new FuzzyRowFilter(ImmutableList.of(ImmutablePair.of(
          Bytes.concat(contextPair.getFirst(), metricPair.getFirst(), tagPair.getFirst(),
                       Bytes.toBytes(0), runIdPair.getFirst()),
          Bytes.concat(contextPair.getSecond(), metricPair.getSecond(), tagPair.getSecond(),
                       FOUR_ONE_BYTES, runIdPair.getSecond()))));

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Examples of co.cask.cdap.data2.dataset2.lib.table.FuzzyRowFilter

                                                   Bytes.toBytes((int) timeBase), runIdPair.getFirst()),
                                      Bytes.concat(contextPair.getSecond(), metricPair.getSecond(), tagPair.getSecond(),
                                                   FOUR_ZERO_BYTES, runIdPair.getSecond())));
    }


    return new FuzzyRowFilter(fuzzyPairs);
  }

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Examples of co.cask.cdap.data2.dataset2.lib.table.FuzzyRowFilter

    }
    byte[] startRow = getPaddedKey(query.getContextPrefix(), query.getRunId(),
                                   query.getMetricPrefix(), tagPrefix, startTimeBase, 0);
    byte[] endRow = getPaddedKey(query.getContextPrefix(), query.getRunId(),
                                 query.getMetricPrefix(), tagPrefix, endTimeBase + 1, 0xff);
    FuzzyRowFilter filter = getFilter(query, startTimeBase, endTimeBase, shouldMatchAllTags);


    return new ScannerFields(startRow, endRow, columns, filter);
  }

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