本文整理汇总了Java中org.apache.hadoop.hbase.filter.FuzzyRowFilter类的典型用法代码示例。如果您正苦于以下问题：Java FuzzyRowFilter类的具体用法？Java FuzzyRowFilter怎么用？Java FuzzyRowFilter使用的例子？那么, 这里精选的类代码示例或许可以为您提供帮助。
FuzzyRowFilter类属于org.apache.hadoop.hbase.filter包，在下文中一共展示了FuzzyRowFilter类的7个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: adapt
import org.apache.hadoop.hbase.filter.FuzzyRowFilter; //导入依赖的package包/类
@Override
public RowFilter adapt(FilterAdapterContext context, FuzzyRowFilter filter) throws IOException {
Interleave.Builder interleaveBuilder = Interleave.newBuilder();
List<Pair<byte[], byte[]>> pairs = extractFuzzyRowFilterPairs(filter);
if (pairs.isEmpty()) {
return ALL_VALUES_FILTER;
}
for (Pair<byte[], byte[]> pair : pairs) {
Preconditions.checkArgument(
pair.getFirst().length == pair.getSecond().length,
"Fuzzy info and match mask must have the same length");
interleaveBuilder.addFilters(
createSingleRowFilter(
pair.getFirst(), pair.getSecond()));
}
return RowFilter.newBuilder().setInterleave(interleaveBuilder).build();
}
示例2: applyFuzzyFilter
import org.apache.hadoop.hbase.filter.FuzzyRowFilter; //导入依赖的package包/类
public static void applyFuzzyFilter(Scan scan, List<org.apache.kylin.common.util.Pair<byte[], byte[]>> fuzzyKeys) {
if (fuzzyKeys != null && fuzzyKeys.size() > 0) {
FuzzyRowFilter rowFilter = new FuzzyRowFilter(convertToHBasePair(fuzzyKeys));
Filter filter = scan.getFilter();
if (filter != null) {
// may have existed InclusiveStopFilter, see buildScan
FilterList filterList = new FilterList();
filterList.addFilter(filter);
filterList.addFilter(rowFilter);
scan.setFilter(filterList);
} else {
scan.setFilter(rowFilter);
}
}
}
示例3: applyFuzzyFilter
import org.apache.hadoop.hbase.filter.FuzzyRowFilter; //导入依赖的package包/类
private void applyFuzzyFilter(Scan scan, HBaseKeyRange keyRange) {
List<Pair<byte[], byte[]>> fuzzyKeys = keyRange.getFuzzyKeys();
if (fuzzyKeys != null && fuzzyKeys.size() > 0) {
FuzzyRowFilter rowFilter = new FuzzyRowFilter(fuzzyKeys);
Filter filter = scan.getFilter();
if (filter != null) {
// may have existed InclusiveStopFilter, see buildScan
FilterList filterList = new FilterList();
filterList.addFilter(filter);
filterList.addFilter(rowFilter);
scan.setFilter(filterList);
} else {
scan.setFilter(rowFilter);
}
}
}
示例4: extractFuzzyRowFilterPairs
import org.apache.hadoop.hbase.filter.FuzzyRowFilter; //导入依赖的package包/类
private static List<Pair<byte[], byte[]>> extractFuzzyRowFilterPairs(FuzzyRowFilter filter)
throws IOException {
// TODO: Change FuzzyRowFilter to expose fuzzyKeysData.
FilterProtos.FuzzyRowFilter filterProto =
FilterProtos.FuzzyRowFilter.parseFrom(filter.toByteArray());
List<Pair<byte[], byte[]>> result =
new ArrayList<>(filterProto.getFuzzyKeysDataCount());
for (BytesBytesPair protoPair : filterProto.getFuzzyKeysDataList()) {
result.add(
new Pair<>(
protoPair.getFirst().toByteArray(),
protoPair.getSecond().toByteArray()));
}
return result;
}
示例5: fuzzyKeysAreTranslatedToRegularExpressions
import org.apache.hadoop.hbase.filter.FuzzyRowFilter; //导入依赖的package包/类
@Test
public void fuzzyKeysAreTranslatedToRegularExpressions() throws IOException {
List<Pair<byte[], byte[]>> testPairs =
ImmutableList.<Pair<byte[], byte[]>>builder()
.add(new Pair<>(new byte[]{0, 0, 0, 0}, Bytes.toBytes("abcd")))
.add(new Pair<>(new byte[]{0, 0, 1, 0}, Bytes.toBytes(".fgh")))
.add(new Pair<>(new byte[]{1, 1, 1, 1}, Bytes.toBytes("ijkl")))
.build();
FuzzyRowFilter filter = new FuzzyRowFilter(testPairs);
RowFilter adaptedFilter = adapter.adapt(context, filter);
Assert.assertEquals(
RowFilter.newBuilder()
.setInterleave(
Interleave.newBuilder()
.addFilters(
RowFilter.newBuilder()
.setRowKeyRegexFilter(
ByteString.copyFromUtf8("abcd")))
.addFilters(
RowFilter.newBuilder()
.setRowKeyRegexFilter(
ByteString.copyFromUtf8("\\.f\\Ch")))
.addFilters(
RowFilter.newBuilder()
.setRowKeyRegexFilter(
ByteString.copyFromUtf8("\\C\\C\\C\\C"))))
.build(),
adaptedFilter);
}
示例6: GenerateScanFuzzy
import org.apache.hadoop.hbase.filter.FuzzyRowFilter; //导入依赖的package包/类
Scan GenerateScanFuzzy(long starttime, long endtime, String cluster,
String path) throws IOException {
Scan scan = createScanWithAllColumns();
String rowKeySuffix = HdfsConstants.SEP + cluster + HdfsConstants.SEP
+ StringUtil.cleanseToken(path);
String rowKey = HdfsConstants.INVERTED_TIMESTAMP_FUZZY_INFO + rowKeySuffix;
int fuzzyLength =
HdfsConstants.NUM_CHARS_INVERTED_TIMESTAMP + rowKeySuffix.length();
byte[] fuzzyInfo = new byte[fuzzyLength];
for (int i = 0; i < HdfsConstants.NUM_CHARS_INVERTED_TIMESTAMP; i++) {
fuzzyInfo[i] = 1;
}
for (int i =
HdfsConstants.NUM_CHARS_INVERTED_TIMESTAMP; i < fuzzyLength; i++) {
fuzzyInfo[i] = 0;
}
@SuppressWarnings("unchecked")
FuzzyRowFilter rowFilter = new FuzzyRowFilter(Arrays.asList(
new Pair<byte[], byte[]>(Bytes.toBytesBinary(rowKey), fuzzyInfo)));
scan.setFilter(rowFilter);
String minStartKey = Long.toString(getEncodedRunId(starttime));
String maxEndKey = Long.toString(getEncodedRunId(endtime));
LOG.info(
starttime + " " + getEncodedRunId(starttime) + " min " + minStartKey
+ " " + endtime + " " + maxEndKey + " " + getEncodedRunId(endtime));
scan.setStartRow(Bytes.toBytes(minStartKey + rowKeySuffix));
scan.setStopRow(Bytes.toBytes(maxEndKey + rowKeySuffix));
LOG.info(" scan: " + scan.toJSON());
return scan;
}
示例7: isFilterSupported
import org.apache.hadoop.hbase.filter.FuzzyRowFilter; //导入依赖的package包/类
@Override
public FilterSupportStatus isFilterSupported(
FilterAdapterContext context, FuzzyRowFilter filter) {
return FilterSupportStatus.SUPPORTED;
}