import org.apache.hadoop.hbase.filter.ColumnPrefixFilter; //导入依赖的package包/类
@Override
public RowFilter adapt(FilterAdapterContext context, ColumnPrefixFilter filter)
    throws IOException {
  byte[] prefix = filter.getPrefix();

  // Quoting for RE2 can result in at most length * 2 characters written. Pre-allocate
  // that much space in the ByteArrayOutputStream to prevent reallocation later.
  ByteArrayOutputStream outputStream =
      new ByteArrayOutputStream(prefix.length * 2);
  readerExpressionHelper.writeQuotedRegularExpression(prefix, outputStream);
  outputStream.write(ReaderExpressionHelper.ALL_QUALIFIERS_BYTES);

  return RowFilter.newBuilder()
      .setColumnQualifierRegexFilter(
          ByteString.copyFrom(
              outputStream.toByteArray()))
      .build();
}
 

import org.apache.hadoop.hbase.filter.ColumnPrefixFilter; //导入依赖的package包/类
static Scan createScanForSpaceSnapshotSizes(TableName table) {
  Scan s = new Scan();
  if (null == table) {
    // Read all tables, just look at the row prefix
    s.setRowPrefixFilter(QUOTA_TABLE_ROW_KEY_PREFIX);
  } else {
    // Fetch the exact row for the table
    byte[] rowkey = getTableRowKey(table);
    // Fetch just this one row
    s.withStartRow(rowkey).withStopRow(rowkey, true);
  }

  // Just the usage family and only the snapshot size qualifiers
  return s.addFamily(QUOTA_FAMILY_USAGE).setFilter(
      new ColumnPrefixFilter(QUOTA_SNAPSHOT_SIZE_QUALIFIER));
}
 

import org.apache.hadoop.hbase.filter.ColumnPrefixFilter; //导入依赖的package包/类
/**
 * Test partial Result re-assembly in the presence of different filters. The Results from the
 * partial scanner should match the Results returned from a scanner that receives all of the
 * results in one RPC to the server. The partial scanner is tested with a variety of different
 * result sizes (all of which are less than the size necessary to fetch an entire row)
 * @throws Exception
 */
@Test
public void testPartialResultsWithColumnFilter() throws Exception {
  testPartialResultsWithColumnFilter(new FirstKeyOnlyFilter());
  testPartialResultsWithColumnFilter(new ColumnPrefixFilter(Bytes.toBytes("testQualifier5")));
  testPartialResultsWithColumnFilter(new ColumnRangeFilter(Bytes.toBytes("testQualifer1"), true,
      Bytes.toBytes("testQualifier7"), true));

  Set<byte[]> qualifiers = new LinkedHashSet<>();
  qualifiers.add(Bytes.toBytes("testQualifier5"));
  testPartialResultsWithColumnFilter(new FirstKeyValueMatchingQualifiersFilter(qualifiers));
}
 

import org.apache.hadoop.hbase.filter.ColumnPrefixFilter; //导入依赖的package包/类
@Override
public Scan operationScan()
{
  Scan scan = new Scan();
  Filter f = new ColumnPrefixFilter(Bytes.toBytes("col-0"));
  scan.setFilter(f);
  return scan;
}
 

import org.apache.hadoop.hbase.filter.ColumnPrefixFilter; //导入依赖的package包/类
@Test
public void columnPrefixFiltersAreAdapted() throws IOException {
  ColumnPrefixFilter filter = new ColumnPrefixFilter(Bytes.toBytes("prefix"));
  RowFilter rowFilter = adapter.adapt(emptyScanContext, filter);
  Assert.assertEquals(
      "prefix\\C*",
      Bytes.toString(rowFilter.getColumnQualifierRegexFilter().toByteArray()));
}
 

import org.apache.hadoop.hbase.filter.ColumnPrefixFilter; //导入依赖的package包/类
/**
 * Requirement 9.3 - ColumnPrefixFilter - select keys with columns that match a particular prefix
 */
@Test
public void testColumnPrefixFilter() throws Exception {
  // Initialize
  int numGoodCols = 5;
  int numBadCols = 20;
  String goodColPrefix = "bueno";
  Table table = getConnection().getTable(TABLE_NAME);
  byte[] rowKey = dataHelper.randomData("testRow-");
  Put put = new Put(rowKey);
  for (int i = 0; i < numBadCols; ++i) {
    put.addColumn(COLUMN_FAMILY, dataHelper.randomData(""), Bytes.toBytes("someval"));
  }
  for (int i = 0; i < numGoodCols; ++i) {
    put.addColumn(COLUMN_FAMILY, dataHelper.randomData(goodColPrefix), Bytes.toBytes("someval"));
  }
  table.put(put);

  // Filter for results
  Filter filter = new ColumnPrefixFilter(Bytes.toBytes("bueno"));
  Get get = new Get(rowKey).setFilter(filter);
  Result result = table.get(get);
  Assert.assertEquals("Should only return good columns", numGoodCols, result.size());
  Cell[] cells = result.rawCells();
  for (Cell cell : cells) {
    Assert.assertTrue("Should have good column prefix",
      Bytes.toString(CellUtil.cloneQualifier(cell)).startsWith(goodColPrefix));
  }

  table.close();
}
 

import org.apache.hadoop.hbase.filter.ColumnPrefixFilter; //导入依赖的package包/类
@Override
public String[] scanForAttributeNames(String accountId, String componentId, long start, long stop) throws IOException {

    logger.debug("Scanning HBase: acc: {} cid: {} start: {} stop: {}", accountId, componentId, start, stop);

    Scan scan = new HbaseScanManager(accountId, componentId)
            .create(start, stop)
            .setFilter(new ColumnPrefixFilter(Columns.BYTES_ATTRIBUTE_COLUMN_PREFIX))
            .getScan();

    Set<String> attributeNames = retrieveAttributeNames(scan);
    return attributeNames.toArray(new String[attributeNames.size()]);
}
 

import org.apache.hadoop.hbase.filter.ColumnPrefixFilter; //导入依赖的package包/类
@Test(timeOut = 60_000)
public void testGetWithColumnPrefixFilter(ITestContext context) throws Exception {
    testGet(context, new ColumnPrefixFilter(prefix));
}
 

import org.apache.hadoop.hbase.filter.ColumnPrefixFilter; //导入依赖的package包/类
@Test(timeOut = 60_000)
public void testScanWithColumnPrefixFilter(ITestContext context) throws Exception {
    testScan(context, new ColumnPrefixFilter(prefix));
}
 

import org.apache.hadoop.hbase.filter.ColumnPrefixFilter; //导入依赖的package包/类
/**
 * Deletes all cells from a map-type family with a timestamp less than or
 * equal to a specified timestamp.
 *
 * <p>
 * This call requires an HBase row lock, so it should be used with care.
 * </p>
 *
 * @param entityId
 *            The entity (row) to delete from.
 * @param familyLayout
 *            A family layout.
 * @param upToTimestamp
 *            A timestamp.
 * @throws IOException
 *             If there is an IO error.
 */
private void deleteMapFamily(EntityId entityId, FamilyLayout familyLayout,
		long upToTimestamp) throws IOException {
	// Since multiple Kiji column families are mapped into a single HBase
	// column family,
	// we have to do this delete in a two-step transaction:
	//
	// 1. Send a get() to retrieve the names of all HBase qualifiers within
	// the HBase
	// family that belong to the Kiji column family.
	// 2. Send a delete() for each of the HBase qualifiers found in the
	// previous step.

	final String familyName = familyLayout.getName();
	final HBaseColumnName hbaseColumnName = mWriterLayoutCapsule
			.getColumnNameTranslator().toHBaseColumnName(
					new KijiColumnName(familyName));
	final byte[] hbaseRow = entityId.getHBaseRowKey();

	// Lock the row.
	// final RowLock rowLock = mHTable.lockRow(hbaseRow);
	try {
		// Step 1.
		final Get get = new Get(hbaseRow);
		get.addFamily(hbaseColumnName.getFamily());

		final FilterList filter = new FilterList(
				FilterList.Operator.MUST_PASS_ALL);
		filter.addFilter(new KeyOnlyFilter());
		filter.addFilter(new ColumnPrefixFilter(hbaseColumnName
				.getQualifier()));
		get.setFilter(filter);

		final Result result = mHTable.get(get);

		// Step 2.
		if (result.isEmpty()) {
			LOG.debug("No qualifiers to delete in map family: "
					+ familyName);
		} else {
			final Delete delete = SchemaPlatformBridge.get().createDelete(
					hbaseRow, HConstants.LATEST_TIMESTAMP);
			for (byte[] hbaseQualifier : result.getFamilyMap(
					hbaseColumnName.getFamily()).keySet()) {
				LOG.debug("Deleting HBase column "
						+ hbaseColumnName.getFamilyAsString() + ":"
						+ Bytes.toString(hbaseQualifier));
				delete.deleteColumns(hbaseColumnName.getFamily(),
						hbaseQualifier, upToTimestamp);
			}
			updateBuffer(delete);
		}
	} finally {
		// Make sure to unlock the row!
		// mHTable.unlockRow(rowLock);
	}
}
 

import org.apache.hadoop.hbase.filter.ColumnPrefixFilter; //导入依赖的package包/类
@Override
public FilterSupportStatus isFilterSupported(
    FilterAdapterContext context,
    ColumnPrefixFilter filter) {
  return FilterSupportStatus.SUPPORTED;
}
 

import org.apache.hadoop.hbase.filter.ColumnPrefixFilter; //导入依赖的package包/类
/**
 * Create a new FilterAdapter
 */
public static FilterAdapter buildAdapter() {
  FilterAdapter adapter = new FilterAdapter();
  adapter.addFilterAdapter(
      ColumnPrefixFilter.class, new ColumnPrefixFilterAdapter());
  adapter.addFilterAdapter(
      ColumnRangeFilter.class, new ColumnRangeFilterAdapter());
  adapter.addFilterAdapter(
      KeyOnlyFilter.class, new KeyOnlyFilterAdapter());
  adapter.addFilterAdapter(
      MultipleColumnPrefixFilter.class, new MultipleColumnPrefixFilterAdapter());
  adapter.addFilterAdapter(
      TimestampsFilter.class, new TimestampsFilterAdapter());
  ValueFilterAdapter valueFilterAdapter = new ValueFilterAdapter();
  adapter.addFilterAdapter(
      ValueFilter.class, valueFilterAdapter);
  SingleColumnValueFilterAdapter scvfa =
      new SingleColumnValueFilterAdapter(valueFilterAdapter);
  adapter.addFilterAdapter(
      SingleColumnValueFilter.class, scvfa);
  adapter.addFilterAdapter(
      SingleColumnValueExcludeFilter.class,
      new SingleColumnValueExcludeFilterAdapter(scvfa));
  adapter.addFilterAdapter(
      ColumnPaginationFilter.class, new ColumnPaginationFilterAdapter());
  adapter.addFilterAdapter(
      FirstKeyOnlyFilter.class, new FirstKeyOnlyFilterAdapter());
  adapter.addFilterAdapter(
      ColumnCountGetFilter.class, new ColumnCountGetFilterAdapter());
  adapter.addFilterAdapter(
      RandomRowFilter.class, new RandomRowFilterAdapter());
  adapter.addFilterAdapter(
      PrefixFilter.class, new PrefixFilterAdapter());
  adapter.addFilterAdapter(
      QualifierFilter.class, new QualifierFilterAdapter());

  // Passing the FilterAdapter in to the FilterListAdapter is a bit
  // unfortunate, but makes adapting the FilterList's subfilters simpler.
  FilterListAdapter filterListAdapter = new FilterListAdapter(adapter);
  // FilterList implements UnsupportedStatusCollector so it should
  // be used when possible (third parameter to addFilterAdapter()).
  adapter.addFilterAdapter(
      FilterList.class, filterListAdapter, filterListAdapter);

  return adapter;
}
 

import org.apache.hadoop.hbase.filter.ColumnPrefixFilter; //导入依赖的package包/类
/**
 *  If we have a qualifier with a prefix and a wildcard (i.e. cf:foo*), we need a filter on every
 *  possible column to be returned as shown below. This will become very inneficient for long
 *  lists of columns mixed with a prefixed wildcard.
 *
 *  FilterList - must pass ALL of
 *   - FamilyFilter
 *   - AND a must pass ONE FilterList of
 *    - either Qualifier
 *    - or ColumnPrefixFilter
 *
 *  If we have only column family filters (i.e. cf:*) or explicit column descriptors
 *  (i.e., cf:foo) or a mix of both then we don't need filters, since the scan will take
 *  care of that.
 */
private void addFiltersWithColumnPrefix(List<ColumnInfo> columnInfos) {
    // we need to apply a CF AND column list filter for each family
    FilterList allColumnFilters = null;
    Map<String, List<ColumnInfo>> groupedMap = groupByFamily(columnInfos);
    for (String cfString : groupedMap.keySet()) {
        List<ColumnInfo> columnInfoList = groupedMap.get(cfString);
        byte[] cf = Bytes.toBytes(cfString);

        // all filters roll up to one parent OR filter
        if (allColumnFilters == null) {
            allColumnFilters = new FilterList(FilterList.Operator.MUST_PASS_ONE);
        }

        // each group contains a column family filter AND (all) and an OR (one of) of
        // the column filters
        FilterList thisColumnGroupFilter = new FilterList(FilterList.Operator.MUST_PASS_ALL);
        thisColumnGroupFilter.addFilter(new FamilyFilter(CompareOp.EQUAL, new BinaryComparator(cf)));
        FilterList columnFilters = new FilterList(FilterList.Operator.MUST_PASS_ONE);
        for (ColumnInfo colInfo : columnInfoList) {
            if (colInfo.isColumnMap()) {

                if (LOG.isDebugEnabled()) {
                    LOG.debug("Adding family:prefix filters with values " +
                            Bytes.toString(colInfo.getColumnFamily()) + COLON +
                            Bytes.toString(colInfo.getColumnPrefix()));
                }

                // add a PrefixFilter to the list of column filters
                if (colInfo.getColumnPrefix() != null) {
                    columnFilters.addFilter(new ColumnPrefixFilter(
                        colInfo.getColumnPrefix()));
                }
            }
            else {

                if (LOG.isDebugEnabled()) {
                    LOG.debug("Adding family:descriptor filters with values " +
                            Bytes.toString(colInfo.getColumnFamily()) + COLON +
                            Bytes.toString(colInfo.getColumnName()));
                }

                // add a QualifierFilter to the list of column filters
                columnFilters.addFilter(new QualifierFilter(CompareOp.EQUAL,
                        new BinaryComparator(colInfo.getColumnName())));
            }
        }
        thisColumnGroupFilter.addFilter(columnFilters);
        allColumnFilters.addFilter(thisColumnGroupFilter);
    }
    if (allColumnFilters != null) {
        addFilter(allColumnFilters);
    }
}
 

import org.apache.hadoop.hbase.filter.ColumnPrefixFilter; //导入依赖的package包/类
private void assertPrefixFilter(Filter filter, String prefix) {
    assertTrue("Filter is not a ColumnPrefixFilter: " + filter.getClass().getSimpleName(),
            filter instanceof ColumnPrefixFilter);
    ColumnPrefixFilter familyFilter = (ColumnPrefixFilter)filter;
    assertEquals("Unexpected prefix", prefix, Bytes.toString(familyFilter.getPrefix()));
}
 

import org.apache.hadoop.hbase.filter.ColumnPrefixFilter; //导入依赖的package包/类
private void initScan() {
    scan = new Scan();

    // Map-reduce jobs should not run with cacheBlocks
    scan.setCacheBlocks(false);

    // Set filters, if any.
    if (configuredOptions_.hasOption("gt")) {
        gt_ = Bytes.toBytesBinary(Utils.slashisize(configuredOptions_.getOptionValue("gt")));
        addRowFilter(CompareOp.GREATER, gt_);
    }
    if (configuredOptions_.hasOption("lt")) {
        lt_ = Bytes.toBytesBinary(Utils.slashisize(configuredOptions_.getOptionValue("lt")));
        addRowFilter(CompareOp.LESS, lt_);
    }
    if (configuredOptions_.hasOption("gte")) {
        gte_ = Bytes.toBytesBinary(Utils.slashisize(configuredOptions_.getOptionValue("gte")));
        addRowFilter(CompareOp.GREATER_OR_EQUAL, gte_);
    }
    if (configuredOptions_.hasOption("lte")) {
        lte_ = Bytes.toBytesBinary(Utils.slashisize(configuredOptions_.getOptionValue("lte")));
        addRowFilter(CompareOp.LESS_OR_EQUAL, lte_);
    }

    // apply any column filters
    FilterList allColumnFilters = null;
    for (ColumnInfo colInfo : columnInfo_) {
        // all column family filters roll up to one parent OR filter
        if (allColumnFilters == null) {
            allColumnFilters = new FilterList(FilterList.Operator.MUST_PASS_ONE);
        }

        // and each filter contains a column family filter
        FilterList thisColumnFilter = new FilterList(FilterList.Operator.MUST_PASS_ALL);
        thisColumnFilter.addFilter(new FamilyFilter(CompareOp.EQUAL,
                new BinaryComparator(colInfo.getColumnFamily())));

        if (colInfo.isColumnMap()) {

            if (LOG.isInfoEnabled()) {
                LOG.info("Adding family:prefix filters with values " +
                    Bytes.toString(colInfo.getColumnFamily()) + COLON +
                    Bytes.toString(colInfo.getColumnPrefix()));
            }

            // each column map filter consists of a FamilyFilter AND
            // optionally a PrefixFilter
            if (colInfo.getColumnPrefix() != null) {
                thisColumnFilter.addFilter(new ColumnPrefixFilter(
                    colInfo.getColumnPrefix()));
            }
        }
        else {

            if (LOG.isInfoEnabled()) {
                LOG.info("Adding family:descriptor filters with values " +
                    Bytes.toString(colInfo.getColumnFamily()) + COLON +
                    Bytes.toString(colInfo.getColumnName()));
            }

            // each column value filter consists of a FamilyFilter AND
            // a QualifierFilter
            thisColumnFilter.addFilter(new QualifierFilter(CompareOp.EQUAL,
                    new BinaryComparator(colInfo.getColumnName())));
        }

        allColumnFilters.addFilter(thisColumnFilter);
    }

    if (allColumnFilters != null) {
        addFilter(allColumnFilters);
    }
}
 

import org.apache.hadoop.hbase.filter.ColumnPrefixFilter; //导入依赖的package包/类
private void initScan() {
    scan = new Scan();
    // Set filters, if any.
    if (configuredOptions_.hasOption("gt")) {
        gt_ = Bytes.toBytesBinary(Utils.slashisize(configuredOptions_.getOptionValue("gt")));
        addRowFilter(CompareOp.GREATER, gt_);
    }
    if (configuredOptions_.hasOption("lt")) {
        lt_ = Bytes.toBytesBinary(Utils.slashisize(configuredOptions_.getOptionValue("lt")));
        addRowFilter(CompareOp.LESS, lt_);
    }
    if (configuredOptions_.hasOption("gte")) {
        gte_ = Bytes.toBytesBinary(Utils.slashisize(configuredOptions_.getOptionValue("gte")));
        addRowFilter(CompareOp.GREATER_OR_EQUAL, gte_);
    }
    if (configuredOptions_.hasOption("lte")) {
        lte_ = Bytes.toBytesBinary(Utils.slashisize(configuredOptions_.getOptionValue("lte")));
        addRowFilter(CompareOp.LESS_OR_EQUAL, lte_);
    }

    // apply any column filters
    FilterList allColumnFilters = null;
    for (ColumnInfo colInfo : columnInfo_) {
        // all column family filters roll up to one parent OR filter
        if (allColumnFilters == null) {
            allColumnFilters = new FilterList(FilterList.Operator.MUST_PASS_ONE);
        }

        // and each filter contains a column family filter
        FilterList thisColumnFilter = new FilterList(FilterList.Operator.MUST_PASS_ALL);
        thisColumnFilter.addFilter(new FamilyFilter(CompareOp.EQUAL,
                new BinaryComparator(colInfo.getColumnFamily())));

        if (colInfo.isColumnMap()) {

            if (LOG.isInfoEnabled()) {
                LOG.info("Adding family:prefix filters with values " +
                    Bytes.toString(colInfo.getColumnFamily()) + COLON +
                    Bytes.toString(colInfo.getColumnPrefix()));
            }

            // each column map filter consists of a FamilyFilter AND
            // optionally a PrefixFilter
            if (colInfo.getColumnPrefix() != null) {
                thisColumnFilter.addFilter(new ColumnPrefixFilter(
                    colInfo.getColumnPrefix()));
            }
        }
        else {

            if (LOG.isInfoEnabled()) {
                LOG.info("Adding family:descriptor filters with values " +
                    Bytes.toString(colInfo.getColumnFamily()) + COLON +
                    Bytes.toString(colInfo.getColumnName()));
            }

            // each column value filter consists of a FamilyFilter AND
            // a QualifierFilter
            thisColumnFilter.addFilter(new QualifierFilter(CompareOp.EQUAL,
                    new BinaryComparator(colInfo.getColumnName())));
        }

        allColumnFilters.addFilter(thisColumnFilter);
    }

    if (allColumnFilters != null) {
        addFilter(allColumnFilters);
    }
}