Examples of SingleColumnValuePartitionFilter

org.apache.hadoop.hbase.index.filter.SingleColumnValuePartitionFilter
This filter is used to filter cells based on a part of it's value. It takes a {@link CompareFilter.CompareOp} operator (equal, greater, not equal, etc), and either a byte []value or a WritableByteArrayComparable.
You must also specify a family and qualifier. Only the value of this column will be tested. When using this filter on a {@link Scan} with specified inputs, the column to be tested should also beadded as input (otherwise the filter will regard the column as missing).
To prevent the entire row from being emitted if the column is not found on a row, use {@link #setFilterIfMissing}. Otherwise, if the column is found, the entire row will be emitted only if the value passes. If the value fails, the row will be filtered out.
In order to test values of previous versions (timestamps), set {@link #setLatestVersionOnly} tofalse. The default is true, meaning that only the latest version's value is tested and all previous versions are ignored.

Examples of org.apache.hadoop.hbase.index.filter.SingleColumnValuePartitionFilter

                newScvf =
                    new SingleColumnValueFilter(scvf.getFamily(), scvf.getQualifier(),
                        CompareOp.GREATER_OR_EQUAL, scvf.getComparator());
              } else {
                newScvf =
                    new SingleColumnValuePartitionFilter(scvf.getFamily(), scvf.getQualifier(),
                        CompareOp.GREATER_OR_EQUAL, scvf.getComparator(), vp);
              }
              Value newValue = new Value(CompareOp.GREATER_OR_EQUAL, prevValue, newScvf);
              valueList.add(newValue);
              return;
            }
          }
          break;
        case GREATER_OR_EQUAL:
          if (prevOperator == CompareOp.GREATER || prevOperator == CompareOp.GREATER_OR_EQUAL) {
            if (result >= 0) {
              valueListItr.remove();
            } else {
              // Already you found less value than present value means present filter will
              // return subset of previous filter. No need to add it to list.
              return;
            }
          } else if (prevOperator == CompareOp.LESS || prevOperator == CompareOp.LESS_OR_EQUAL) {
            // Need to handle conditions like previous is c1<5 and current c1>2. In these cases we
            // can change this condition into three parts c1<2,c1>=2 AND C1=<5 ,c1>5 and add to
            // list.
          } else if (prevOperator == CompareOp.EQUAL) {
            if (result >= 0) {
              valueListItr.remove();
            }
          }
          break;
        case LESS:
          if (prevOperator == CompareOp.LESS || prevOperator == CompareOp.LESS_OR_EQUAL) {
            if (result < 0) {
              valueListItr.remove();
            } else {
              // Already you found less or equal value than present value means present filter will
              // return subset of previous filter. No need to add it to list.
              return;
            }
          } else if (prevOperator == CompareOp.GREATER
              || prevOperator == CompareOp.GREATER_OR_EQUAL) {
            // Need to handle conditions like previous is c1<5 and current c1>2. In these cases we
            // can change this condition into three parts c1<2,c1>=2 AND C1=<5 ,c1>5 and add to
            // list.
          } else if (prevOperator == CompareOp.EQUAL) {
            if (result < 0) {
              valueListItr.remove();
            } else if (result == 0) {
              // remove this entry and convert LESS to LESS_OR_EQUAL
              valueListItr.remove();
              SingleColumnValueFilter newScvf = null;
              if (vp == null) {
                newScvf =
                    new SingleColumnValueFilter(scvf.getFamily(), scvf.getQualifier(),
                        CompareOp.LESS_OR_EQUAL, scvf.getComparator());
              } else {
                newScvf =
                    new SingleColumnValuePartitionFilter(scvf.getFamily(), scvf.getQualifier(),
                        CompareOp.LESS_OR_EQUAL, scvf.getComparator(), vp);
              }
              Value newValue = new Value(CompareOp.LESS_OR_EQUAL, prevValue, newScvf);
              valueList.add(newValue);
              return;
            }
          }
          break;
        case LESS_OR_EQUAL:
          if (prevOperator == CompareOp.LESS || prevOperator == CompareOp.LESS_OR_EQUAL) {
            if (result <= 0) {
              valueListItr.remove();
            } else {
              // Already you found less or equal value than present value means present filter will
              // return subset of previous filter. No need to add it to list.
              return;
            }
          } else if (prevOperator == CompareOp.GREATER
              || prevOperator == CompareOp.GREATER_OR_EQUAL) {
            // Need to handle conditions like previous is c1<5 and current c1>2. In these cases we
            // can change this condition into three parts c1<2,c1>=2 AND C1=<5 ,c1>5 and add to
            // list.
          } else if (prevOperator == CompareOp.EQUAL) {
            // If we dont want to do conversion we can add into first if condition.
            if (result <= 0) {
              valueListItr.remove();
            } else if (result == 0) {
              // remove this entry and convert GREATER to GREATER_OR_EQUAL
            }
          }
          break;
        case EQUAL:
          if (prevOperator == CompareOp.GREATER) {
            if (result < 0) {
              return;
            } else if (result == 0) {
              valueListItr.remove();
              SingleColumnValueFilter newScvf = null;
              if (vp == null) {
                newScvf =
                    new SingleColumnValueFilter(scvf.getFamily(), scvf.getQualifier(),
                        CompareOp.GREATER_OR_EQUAL, scvf.getComparator());
              } else {
                newScvf =
                    new SingleColumnValuePartitionFilter(scvf.getFamily(), scvf.getQualifier(),
                        CompareOp.GREATER_OR_EQUAL, scvf.getComparator(), vp);
              }
              Value newValue = new Value(CompareOp.GREATER_OR_EQUAL, prevValue, newScvf);
              valueList.add(newValue);
              return;
            }
          } else if (prevOperator == CompareOp.GREATER_OR_EQUAL) {
            if (result <= 0) {
              return;
            }
          } else if (prevOperator == CompareOp.LESS) {
            if (result > 0) {
              return;
            } else if (result == 0) {
              valueListItr.remove();
              SingleColumnValueFilter newScvf = null;
              if (vp == null) {
                newScvf =
                    new SingleColumnValueFilter(scvf.getFamily(), scvf.getQualifier(),
                        CompareOp.LESS_OR_EQUAL, scvf.getComparator());
              } else {
                newScvf =
                    new SingleColumnValuePartitionFilter(scvf.getFamily(), scvf.getQualifier(),
                        CompareOp.LESS_OR_EQUAL, scvf.getComparator(), vp);
              }
              Value newValue = new Value(CompareOp.LESS_OR_EQUAL, prevValue, newScvf);
              valueList.add(newValue);
              return;

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Examples of org.apache.hadoop.hbase.index.filter.SingleColumnValuePartitionFilter

    p = new Put("row3".getBytes());
    p.add("cf1".getBytes(), "cq".getBytes(), "rrr_sss_hhh_bangalore_karnataka".getBytes());
    table.put(p);


    Scan scan = new Scan();
    scan.setFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.EQUAL, "huawei".getBytes(), vp));
    int i = 0;
    ResultScanner scanner = table.getScanner(scan);
    List<Result> testRes = new ArrayList<Result>();
    Result[] result = scanner.next(1);

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Examples of org.apache.hadoop.hbase.index.filter.SingleColumnValuePartitionFilter

    p = new Put("row3".getBytes());
    p.add("cf1".getBytes(), "cq".getBytes(), "partition".getBytes());
    table.put(p);


    Scan scan = new Scan();
    scan.setFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.LESS_OR_EQUAL, "rti".getBytes(), vp));
    int i = 0;
    ResultScanner scanner = table.getScanner(scan);
    List<Result> testRes = new ArrayList<Result>();
    Result[] result = scanner.next(1);

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Examples of org.apache.hadoop.hbase.index.filter.SingleColumnValuePartitionFilter


    p = new Put("row3".getBytes());
    p.add("cf1".getBytes(), "cq".getBytes(), "partitionmultiple".getBytes());
    table.put(p);
    FilterList masterFilter = new FilterList(Operator.MUST_PASS_ALL);
    masterFilter.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.EQUAL, "rti".getBytes(), vp));
    masterFilter.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.GREATER_OR_EQUAL, "ti".getBytes(), vp2));
    Scan scan = new Scan();
    scan.setFilter(masterFilter);
    int i = 0;
    ResultScanner scanner = table.getScanner(scan);
    List<Result> testRes = new ArrayList<Result>();
    Result[] result = scanner.next(1);
    while (result != null && result.length > 0) {
      testRes.add(result[0]);
      i++;
      result = scanner.next(1);
    }
    Assert.assertTrue("Index flow should get used.", IndexRegionObserver.getIndexedFlowUsed());
    Assert.assertTrue("Seekpoints should get added by index scanner",
      IndexRegionObserver.getSeekpointAdded());
    Assert.assertEquals("It should get two seek points from index scanner.", 1, IndexRegionObserver
        .getMultipleSeekPoints().size());
    Assert.assertTrue("Overall result should have only 1 rows", testRes.size() == 1);


    masterFilter = new FilterList(Operator.MUST_PASS_ONE);
    masterFilter.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.LESS, "rti".getBytes(), vp));
    masterFilter.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.GREATER, "ti".getBytes(), vp2));
    scan = new Scan();
    scan.setFilter(masterFilter);
    i = 0;
    scanner = table.getScanner(scan);

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Examples of org.apache.hadoop.hbase.index.filter.SingleColumnValuePartitionFilter


    p = new Put("row3".getBytes());
    p.add("cf1".getBytes(), "cq".getBytes(), "partition--by--separator--multiple".getBytes());
    table.put(p);
    FilterList masterFilter = new FilterList(Operator.MUST_PASS_ALL);
    masterFilter.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.EQUAL, "multiple".getBytes(), vp));
    masterFilter.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.GREATER_OR_EQUAL, "by".getBytes(), vp2));
    Scan scan = new Scan();
    scan.setFilter(masterFilter);
    int i = 0;
    ResultScanner scanner = table.getScanner(scan);
    List<Result> testRes = new ArrayList<Result>();
    Result[] result = scanner.next(1);
    while (result != null && result.length > 0) {
      testRes.add(result[0]);
      i++;
      result = scanner.next(1);
    }
    Assert.assertTrue("Index flow should get used.", IndexRegionObserver.getIndexedFlowUsed());
    Assert.assertTrue("Seekpoints should get added by index scanner",
      IndexRegionObserver.getSeekpointAdded());
    Assert.assertEquals("It should get two seek points from index scanner.", 2, IndexRegionObserver
        .getMultipleSeekPoints().size());
    Assert.assertTrue("Overall result should have only 1 rows", testRes.size() == 2);


    masterFilter = new FilterList(Operator.MUST_PASS_ONE);
    masterFilter.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.GREATER_OR_EQUAL, "person".getBytes(), vp));
    masterFilter.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.LESS, "multiple".getBytes(), vp2));
    scan = new Scan();
    scan.setFilter(masterFilter);
    i = 0;
    scanner = table.getScanner(scan);

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Examples of org.apache.hadoop.hbase.index.filter.SingleColumnValuePartitionFilter


    p = new Put("row3".getBytes());
    p.add("cf1".getBytes(), "cq".getBytes(), "partition--by--separator--multiple".getBytes());
    table.put(p);
    FilterList masterFilter = new FilterList(Operator.MUST_PASS_ALL);
    masterFilter.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.EQUAL, "multiple".getBytes(), vp));
    masterFilter.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.GREATER_OR_EQUAL, "by".getBytes(), vp2));
    masterFilter.addFilter(new SingleColumnValueFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.EQUAL, "spatial--partition--multiple".getBytes()));


    Scan scan = new Scan();
    scan.setFilter(masterFilter);
    int i = 0;
    ResultScanner scanner = table.getScanner(scan);
    List<Result> testRes = new ArrayList<Result>();
    Result[] result = scanner.next(1);
    while (result != null && result.length > 0) {
      testRes.add(result[0]);
      i++;
      result = scanner.next(1);
    }
    Assert.assertTrue("Index flow should get used.", IndexRegionObserver.getIndexedFlowUsed());
    Assert.assertTrue("Seekpoints should get added by index scanner",
      IndexRegionObserver.getSeekpointAdded());
    Assert.assertEquals("It should get two seek points from index scanner.", 1, IndexRegionObserver
        .getMultipleSeekPoints().size());
    Assert.assertTrue("Overall result should have only 1 rows", testRes.size() == 1);


    masterFilter = new FilterList(Operator.MUST_PASS_ONE);
    masterFilter.addFilter(new SingleColumnValueFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.GREATER_OR_EQUAL, "partition--by--separator--multiple".getBytes()));
    masterFilter.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.GREATER_OR_EQUAL, "person".getBytes(), vp));
    masterFilter.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.LESS, "multiple".getBytes(), vp2));
    scan = new Scan();
    scan.setFilter(masterFilter);
    i = 0;
    scanner = table.getScanner(scan);

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Examples of org.apache.hadoop.hbase.index.filter.SingleColumnValuePartitionFilter

    table.put(p);


    FilterList masterFilter = new FilterList(Operator.MUST_PASS_ALL);


    FilterList filter1 = new FilterList(Operator.MUST_PASS_ALL);
    filter1.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.EQUAL, "multiple".getBytes(), vp));
    filter1.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.GREATER_OR_EQUAL, "by".getBytes(), vp2));
    filter1.addFilter(new SingleColumnValueFilter(hcd.getName(), "cq".getBytes(), CompareOp.EQUAL,
        "partition--multiple--multiple--multiple".getBytes()));


    FilterList filter2 = new FilterList(Operator.MUST_PASS_ONE);
    filter2.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.EQUAL, "multiple".getBytes(), vp));
    filter2.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.EQUAL, "multiple".getBytes(), vp2));


    FilterList filter3 = new FilterList(Operator.MUST_PASS_ALL);
    filter3.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.EQUAL, "multiple".getBytes(), vp));
    filter3.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.EQUAL, "multiple".getBytes(), vp2));


    FilterList filter4 = new FilterList(Operator.MUST_PASS_ALL);
    filter3.addFilter(new SingleColumnValueFilter(hcd.getName(), "cq1".getBytes(),
        CompareOp.GREATER_OR_EQUAL, "1234".getBytes()));
    filter3.addFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.GREATER_OR_EQUAL, "multiple".getBytes(), vp2));
    masterFilter.addFilter(filter1);
    masterFilter.addFilter(filter2);
    masterFilter.addFilter(filter3);
    masterFilter.addFilter(filter4);

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Examples of org.apache.hadoop.hbase.index.filter.SingleColumnValuePartitionFilter

    byte[] value = "huawei".getBytes();
    Column column = new Column("cf1".getBytes(), "cq".getBytes(), vp);
    EqualsExpression equalsExpression = new EqualsExpression(column, value);
    singleIndexExpression.addEqualsExpression(equalsExpression);
    scan.setAttribute(Constants.INDEX_EXPRESSION, IndexUtils.toBytes(singleIndexExpression));
    scan.setFilter(new SingleColumnValuePartitionFilter(hcd.getName(), "cq".getBytes(),
        CompareOp.EQUAL, "huawei".getBytes(), vp));
    int i = 0;
    ResultScanner scanner = table.getScanner(scan);
    List<Result> testRes = new ArrayList<Result>();
    Result[] result = scanner.next(1);

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Examples of org.apache.hadoop.hbase.index.filter.SingleColumnValuePartitionFilter

    if (CompareOp.NOT_EQUAL == filter.getOperator() || CompareOp.NO_OP == filter.getOperator()) {
      return new NoIndexFilterNode();
    }
    FilterColumnValueDetail detail = null;
    if (filter instanceof SingleColumnValuePartitionFilter) {
      SingleColumnValuePartitionFilter escvf = (SingleColumnValuePartitionFilter) filter;
      detail =
          new FilterColumnValueDetail(escvf.getFamily(), escvf.getQualifier(), escvf
              .getComparator().getValue(), escvf.getValuePartition(), escvf.getOperator());
    } else {
      detail =
          new FilterColumnValueDetail(filter.getFamily(), filter.getQualifier(), filter
              .getComparator().getValue(), filter.getOperator());
    }

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