http://blog.csdn.net/saint1126/article/details/8257941
hbase权威指南阅读随手笔记二之过滤器
base过滤器的比较操作符:
2.1 SingleColumnValueFilter
LESS <
LESS_OR_EQUAL <=
EQUAL =
NOT_EQUAL <>
GREATER_OR_EQUAL >=
GREATER >
NO_OP no operation
比较器:
Hbase的过滤器分类BinaryComparator 按字节索引顺序比较指定字节数组,采用Bytes.compareTo(byte[])
BinaryPrefixComparator 跟前面相同,只是比较左端的数据是否相同
NullComparator 判断给定的是否为空
BitComparator 按位比较 a BitwiseOp class 做异或,与,并操作
RegexStringComparator 提供一个正则的比较器,仅支持 EQUAL 和非EQUALSubstringComparator 判断提供的子串是否出现在table的value中。
比较过滤器
1、Comparision Filters
1.1 RowFilter
1.1 RowFilter
构造函数选择比较rowkey来确定选择合适的行信息。
- public RowFilter(org.apache.hadoop.hbase.filter.CompareFilter.CompareOp rowCompareOp, org.apache.hadoop.hbase.filter.WritableByteArrayComparable rowComparator) {}
1.2 FamilyFilter
- public class RowFilterExample {
- public static void main(String[] args) throws IOException {
- Configuration conf = HBaseConfiguration.create();
- HBaseHelper helper = HBaseHelper.getHelper(conf);
- helper.dropTable("testtable");
- helper.createTable("testtable", "colfam1", "colfam2");
- System.out.println("Adding rows to table...");
- helper.fillTable("testtable", 1, 100, 100, "colfam1", "colfam2");
- HTable table = new HTable(conf, "testtable");
- // vv RowFilterExample
- Scan scan = new Scan();
- scan.addColumn(Bytes.toBytes("colfam1"), Bytes.toBytes("col-0"));
- Filter filter1 = new RowFilter(CompareFilter.CompareOp.LESS_OR_EQUAL, // co RowFilterExample-1-Filter1 Create filter, while specifying the comparison operator and comparator. Here an exact match is needed.
- new BinaryComparator(Bytes.toBytes("row-22")));
- scan.setFilter(filter1);
- ResultScanner scanner1 = table.getScanner(scan);
- // ^^ RowFilterExample
- System.out.println("Scanning table #1...");
- // vv RowFilterExample
- for (Result res : scanner1) {
- System.out.println(res);
- }
- scanner1.close();
- Filter filter2 = new RowFilter(CompareFilter.CompareOp.EQUAL, // co RowFilterExample-2-Filter2 Another filter, this time using a regular expression to match the row keys.
- new RegexStringComparator(".*-.5"));
- scan.setFilter(filter2);
- ResultScanner scanner2 = table.getScanner(scan);
- // ^^ RowFilterExample
- System.out.println("Scanning table #2...");
- // vv RowFilterExample
- for (Result res : scanner2) {
- System.out.println(res);
- }
- scanner2.close();
- Filter filter3 = new RowFilter(CompareFilter.CompareOp.EQUAL, // co RowFilterExample-3-Filter3 The third filter uses a substring match approach.
- new SubstringComparator("-5"));
- scan.setFilter(filter3);
- ResultScanner scanner3 = table.getScanner(scan);
- // ^^ RowFilterExample
- System.out.println("Scanning table #3...");
- // vv RowFilterExample
- for (Result res : scanner3) {
- System.out.println(res);
- }
- scanner3.close();
- // ^^ RowFilterExample
- }
- }
构造函数
- public FamilyFilter(CompareOp familyCompareOp, WritableByteArrayComparable familyComparator) {}
通过和列簇比较得到,返回结果为真的数据,示例:
- public class FamilyFilterExample {
- public static void main(String[] args) throws IOException {
- Configuration conf = HBaseConfiguration.create();
- HBaseHelper helper = HBaseHelper.getHelper(conf);
- helper.dropTable("testtable");
- helper.createTable("testtable", "colfam1", "colfam2", "colfam3", "colfam4");
- System.out.println("Adding rows to table...");
- helper.fillTable("testtable", 1, 10, 2, "colfam1", "colfam2", "colfam3", "colfam4");
- HTable table = new HTable(conf, "testtable");
- // vv FamilyFilterExample
- Filter filter1 = new FamilyFilter(CompareFilter.CompareOp.LESS, // co FamilyFilterExample-1-Filter Create filter, while specifying the comparison operator and comparator.
- new BinaryComparator(Bytes.toBytes("colfam3")));
- Scan scan = new Scan();
- scan.setFilter(filter1);
- ResultScanner scanner = table.getScanner(scan); // co FamilyFilterExample-2-Scan Scan over table while applying the filter.
- // ^^ FamilyFilterExample
- System.out.println("Scanning table... ");
- // vv FamilyFilterExample
- for (Result result : scanner) {
- System.out.println(result);
- }
- scanner.close();
- Get get1 = new Get(Bytes.toBytes("row-5"));
- get1.setFilter(filter1);
- Result result1 = table.get(get1); // co FamilyFilterExample-3-Get Get a row while applying the same filter.
- System.out.println("Result of get(): " + result1);
- Filter filter2 = new FamilyFilter(CompareFilter.CompareOp.EQUAL,
- new BinaryComparator(Bytes.toBytes("colfam3")));
- Get get2 = new Get(Bytes.toBytes("row-5")); // co FamilyFilterExample-4-Mismatch Create a filter on one column family while trying to retrieve another.
- get2.addFamily(Bytes.toBytes("colfam1"));
- get2.setFilter(filter2);
- Result result2 = table.get(get2); // co FamilyFilterExample-5-Get2 Get the same row while applying the new filter, this will return "NONE".
- System.out.println("Result of get(): " + result2);
- // ^^ FamilyFilterExample
- }
- }
1.3 QualifierFilter
1.4 ValueFilter构造函数通过和列名比较,返回为真的数据,示例:
- public QualifierFilter(CompareOp qualifierCompareOp, WritableByteArrayComparable qualifierComparator) { }
- // vv QualifierFilterExample
- Filter filter = new QualifierFilter(CompareFilter.CompareOp.LESS_OR_EQUAL,
- new BinaryComparator(Bytes.toBytes("col-2")));
- Scan scan = new Scan();
- scan.setFilter(filter);
- ResultScanner scanner = table.getScanner(scan);
- // ^^ QualifierFilterExample
- System.out.println("Scanning table... ");
- // vv QualifierFilterExample
- for (Result result : scanner) {
- System.out.println(result);
- }
- scanner.close();
- Get get = new Get(Bytes.toBytes("row-5"));
- get.setFilter(filter);
- Result result = table.get(get);
- System.out.println("Result of get(): " + result);
构造函数
- <pre name="code" class="java" style="color: rgb(88, 89, 93); font-size: 14px; line-height: 25px;">public ValueFilter(CompareOp valueCompareOp, WritableByteArrayComparable valueComparator) {}</pre>
- <pre></pre>
- 通过和列名比较,返回为真的数据,示例:
- <pre></pre>
- <pre></pre>
- <pre></pre>
- <pre></pre>
- Filter filter = new ValueFilter(CompareFilter.CompareOp.EQUAL, // co ValueFilterExample-1-Filter Create filter, while specifying the comparison operator and comparator.
- new SubstringComparator(".4") );
- Scan scan = new Scan();
- scan.setFilter(filter); // co ValueFilterExample-2-SetFilter Set filter for the scan.
- ResultScanner scanner = table.getScanner(scan);
- // ^^ ValueFilterExample
- System.out.println("Results of scan:");
- // vv ValueFilterExample
- for (Result result : scanner) {
- for (KeyValue kv : result.raw()) {
- System.out.println("KV: " + kv + ", Value: " + // co ValueFilterExample-3-Print1 Print out value to check that filter works.
- Bytes.toString(kv.getValue()));
- }
- }
- scanner.close();
- Get get = new Get(Bytes.toBytes("row-5"));
- get.setFilter(filter); // co ValueFilterExample-4-SetFilter2 Assign same filter to Get instance.
- Result result = table.get(get);
- // ^^ ValueFilterExample
- System.out.println("Result of get: ");
- // vv ValueFilterExample
- for (KeyValue kv : result.raw()) {
- System.out.println("KV: " + kv + ", Value: " +
- Bytes.toString(kv.getValue()));
- }
1.5 DependentColumnFilter
该过滤器有两个参数 —— 列族和列修饰。 尝试找到该列所在的每一行,并返回该行具有相同时间戳的全部键值对。如果某一行不包含指定的列,则该行的任何键值对都不返回。
该过滤器还可以有一个可选布尔参数 —— dropDependentColumn. 如果为true, 从属的列不返回。
该过滤器还可以有两个可选参数 —— 一个比较操作符和一个值比较器,用于列族和修饰的进一步检查。如果从属的列找到,其值还必须通过值检查,然后就是时间戳必须考虑。
2、Dedicated Filters
- package filters;
- // cc DependentColumnFilterExample Example using a filter to include only specific column families
- import org.apache.hadoop.conf.Configuration;
- import org.apache.hadoop.hbase.HBaseConfiguration;
- import org.apache.hadoop.hbase.KeyValue;
- import org.apache.hadoop.hbase.client.Get;
- import org.apache.hadoop.hbase.client.HTable;
- import org.apache.hadoop.hbase.client.Result;
- import org.apache.hadoop.hbase.client.ResultScanner;
- import org.apache.hadoop.hbase.client.Scan;
- import org.apache.hadoop.hbase.filter.BinaryPrefixComparator;
- import org.apache.hadoop.hbase.filter.CompareFilter;
- import org.apache.hadoop.hbase.filter.DependentColumnFilter;
- import org.apache.hadoop.hbase.filter.Filter;
- import org.apache.hadoop.hbase.filter.RegexStringComparator;
- import org.apache.hadoop.hbase.filter.WritableByteArrayComparable;
- import org.apache.hadoop.hbase.util.Bytes;
- import util.HBaseHelper;
- import java.io.IOException;
- public class DependentColumnFilterExample {
- private static HTable table = null;
- // vv DependentColumnFilterExample
- private static void filter(boolean drop,
- CompareFilter.CompareOp operator,
- WritableByteArrayComparable comparator)
- throws IOException {
- Filter filter;
- if (comparator != null) {
- filter = new DependentColumnFilter(Bytes.toBytes("colfam1"), // co DependentColumnFilterExample-1-CreateFilter Create the filter with various options.
- Bytes.toBytes("col-5"), drop, operator, comparator);
- } else {
- filter = new DependentColumnFilter(Bytes.toBytes("colfam1"),
- Bytes.toBytes("col-5"), drop);
- }
- Scan scan = new Scan();
- scan.setFilter(filter);
- ResultScanner scanner = table.getScanner(scan);
- // ^^ DependentColumnFilterExample
- System.out.println("Results of scan:");
- // vv DependentColumnFilterExample
- for (Result result : scanner) {
- for (KeyValue kv : result.raw()) {
- System.out.println("KV: " + kv + ", Value: " +
- Bytes.toString(kv.getValue()));
- }
- }
- scanner.close();
- Get get = new Get(Bytes.toBytes("row-5"));
- get.setFilter(filter);
- Result result = table.get(get);
- // ^^ DependentColumnFilterExample
- System.out.println("Result of get: ");
- // vv DependentColumnFilterExample
- for (KeyValue kv : result.raw()) {
- System.out.println("KV: " + kv + ", Value: " +
- Bytes.toString(kv.getValue()));
- }
- // ^^ DependentColumnFilterExample
- System.out.println("");
- // vv DependentColumnFilterExample
- }
- public static void main(String[] args) throws IOException {
- // ^^ DependentColumnFilterExample
- Configuration conf = HBaseConfiguration.create();
- HBaseHelper helper = HBaseHelper.getHelper(conf);
- helper.dropTable("testtable");
- helper.createTable("testtable", "colfam1", "colfam2");
- System.out.println("Adding rows to table...");
- helper.fillTable("testtable", 1, 10, 10, true, "colfam1", "colfam2");
- table = new HTable(conf, "testtable");
- // vv DependentColumnFilterExample
- filter(true, CompareFilter.CompareOp.NO_OP, null);
- filter(false, CompareFilter.CompareOp.NO_OP, null); // co DependentColumnFilterExample-2-Filter Call filter method with various options.
- filter(true, CompareFilter.CompareOp.EQUAL,
- new BinaryPrefixComparator(Bytes.toBytes("val-5")));
- filter(false, CompareFilter.CompareOp.EQUAL,
- new BinaryPrefixComparator(Bytes.toBytes("val-5")));
- filter(true, CompareFilter.CompareOp.EQUAL,
- new RegexStringComparator(".*\\.5"));
- filter(false, CompareFilter.CompareOp.EQUAL,
- new RegexStringComparator(".*\\.5"));
- }
- // ^^ DependentColumnFilterExample}
2.1 SingleColumnValueFilter
选定列簇和某一列,然后与列的value相比,正确的返回全部的row,注意如果某一行不含有该列,同样返回,除非通过filterIfColumnMissing 设置成真。
构造函数
- <pre name="code" class="java">SingleColumnValueFilter(byte[] family, byte[] qualifier, CompareOp compareOp, byte[] value)
- SingleColumnValueFilter(byte[] family, byte[] qualifier, CompareOp compareOp, WritableByteArrayComparable comparator)</pre>
- <pre></pre>
- 第一个构造函数相当于构建了一个BinaryComparator的实例。其他的跟CompareFilter的参数含义一样。
- <pre></pre>
- <pre></pre>
- <pre></pre>
该过滤器通过下面两个参数 filterIfMissing,latestVersionOnly
如果 filterIfColumnMissing 标志设为真,如果该行没有指定的列,那么该行的所有列将不发出。缺省值为假。
- boolean getFilterIfMissing()
- void setFilterIfMissing(boolean filterIfMissing)
- boolean getLatestVersionOnly()
- void setLatestVersionOnly(boolean latestVersionOnly)
如果setLatestVersionOnly 标志设为假,将检查此前的版本。缺省值为真。实例如下:
- // vv SingleColumnValueFilterExample
- SingleColumnValueFilter filter = new SingleColumnValueFilter(
- Bytes.toBytes("colfam1"),
- Bytes.toBytes("col-5"),
- CompareFilter.CompareOp.NOT_EQUAL,
- new SubstringComparator("val-5"));
- filter.setFilterIfMissing(true);
- Scan scan = new Scan();
- scan.setFilter(filter);
- ResultScanner scanner = table.getScanner(scan);
- // ^^ SingleColumnValueFilterExample
- System.out.println("Results of scan:");
- // vv SingleColumnValueFilterExample
- for (Result result : scanner) {
- for (KeyValue kv : result.raw()) {
- System.out.println("KV: " + kv + ", Value: " +
- Bytes.toString(kv.getValue()));
- }
- }
- scanner.close();
- Get get = new Get(Bytes.toBytes("row-6"));
- get.setFilter(filter);
- Result result = table.get(get);
- System.out.println("Result of get: ");
- for (KeyValue kv : result.raw()) {
- System.out.println("KV: " + kv + ", Value: " +
- Bytes.toString(kv.getValue()));
- }
2.2 SingleColumnValueExcludeFilter
该过滤器同上面的过滤器正好相反,如果条件相符,将不会返回该列的内容。
2.3 PrefixFilter
所有的row的实例匹配prefix的时候返回结果集合
2.4 PageFilter
- Filter filter = new PrefixFilter(Bytes.toBytes("row1"));
- Scan scan = new Scan();
- scan.setFilter(filter);
- ResultScanner scanner = table.getScanner(scan);
- for(Result result: scanner){
- for(KeyValue kv: result.raw()) {
- System.out.println("KV:" + kv + ", Value:" + Bytes.toString(kv.getValue()));
- }
- }
- scanner.close();
- Get get = new Get(Bytes.toBytes("row-5"));
- get.setFilter(filter);
- Result result = table.get(get);
- for(KeyValue kv : result.raw()){
- System.out.println("KV:" + kv + ", Value:" + Bytes.toString(kv.getValue()));
- }
页过滤,通过设置pagesize参数可以返回每一页page的数量。
客户端需要记住上一次访问的row的key值。
因为hbase的row是字典序列排列的,因此上一次的lastrow需要添加额外的0表示新的开始。另外startKey的那一行是包含在scan里面的。
- package hbaseTest;
- import org.apache.hadoop.conf.Configuration;
- import org.apache.hadoop.hbase.HBaseConfiguration;
- import org.apache.hadoop.hbase.client.HTable;
- import org.apache.hadoop.hbase.client.Result;
- import org.apache.hadoop.hbase.client.ResultScanner;
- import org.apache.hadoop.hbase.client.Scan;
- import org.apache.hadoop.hbase.filter.Filter;
- import org.apache.hadoop.hbase.filter.PageFilter;
- import org.apache.hadoop.hbase.util.Bytes;
- import java.io.IOException;
- /**
- * Hello world!
- */
- public class PageFilterExample {
- public static void main(String[] args) throws IOException {
- Configuration config = HBaseConfiguration.create();
- config.set("hbase.zookeeper.quorum", "QT-H-0038");
- String tableName = "testTable";
- String cfName = "colfam1";
- final byte[] POSTFIX = new byte[] { 0x00 };
- HTable table = new HTable(config, tableName);
- Filter filter = new PageFilter(15);
- byte[] lastRow = null;
- int totalRows = 0;
- while (true) {
- Scan scan = new Scan();
- scan.setFilter(filter);
- if(lastRow != null){
- //注意这里添加了POSTFIX操作,不然死循环了
- byte[] startRow = Bytes.add(lastRow,POSTFIX);
- scan.setStartRow(startRow);
- }
- ResultScanner scanner = table.getScanner(scan);
- int localRows = 0;
- Result result;
- while((result = scanner.next()) != null){
- System.out.println(localRows++ + ":" + result);
- totalRows ++;
- lastRow = result.getRow();
- }
- scanner.close();
- if(localRows == 0) break;
- }
- System.out.println("total rows:" + totalRows);
- }
- }
2.5 KeyOnlyFilter
因为一些应用只想获取data数据,而不是真实的val,可以使用这个过滤器。该过滤器通过
lenAsVal默认为假,表示不把val的长度作为val。否则 val的长度将作为val输出。
- KeyOnlyFilter(boolean lenAsVal)
- final byte[] POSTFIX = new byte[] { 0x00 };
- HTable table = new HTable(config, tableName);
- Filter filter = new KeyOnlyFilter(false);
- byte[] lastRow = null;
- int totalRows = 0;
- Scan scan = new Scan();
- scan.setFilter(filter);
- ResultScanner scanner = table.getScanner(scan);
- for(Result result: scanner){
- for(KeyValue kv: result.raw()){
- System.out.println(kv + ":" + Bytes.toString(kv.getValue()));
- }
- }
2.6 FirstKeyOnlyFilter
在对hbase的表进行扫描的时候,如果指定了FirstKeyOnlyFilter过滤条件则仅仅会返回相同key的第一条kv。
当对hbase中的表进行count,sum操作等集合操作的时候,使用FirstKeyOnlyFilter会带来性能上的提升。返回的结果是
- public class KeyOnlyFilterExample {
- public static void main(String[] args) throws IOException {
- Configuration config = HBaseConfiguration.create();
- config.set("hbase.zookeeper.quorum", "QT-H-0038");
- String tableName = "testTable";
- String cfName = "colfam1";
- final byte[] POSTFIX = new byte[] { 0x00 };
- HTable table = new HTable(config, tableName);
- Filter filter = new FirstKeyOnlyFilter();
- byte[] lastRow = null;
- int totalRows = 0;
- Scan scan = new Scan();
- scan.setFilter(filter);
- ResultScanner scanner = table.getScanner(scan);
- for(Result result: scanner){
- for(KeyValue kv: result.raw()){
- System.out.println(kv + ":" + Bytes.toString(kv.getValue()));
- }
- }
- }
- }
- row-5/colfam1:qual1/1354673733503/Put/vlen=4:row1
- row1/colfam1:qual1/1354432930568/Put/vlen=4:val1
- row2/colfam1:qual2/1354432930568/Put/vlen=4:val3
如果注释掉过滤器的返回的结果是:
- row-5/colfam1:qual1/1354673733503/Put/vlen=4:row1
- row1/colfam1:qual1/1354432930568/Put/vlen=4:val1
- row1/colfam1:qual2/1354435819120/Put/vlen=4:val2
- row2/colfam1:qual2/1354432930568/Put/vlen=4:val3
2.7 InclusiveStopFilter
因为hbase的scan包含start-row不包含stop-row 如果使用这个过滤器我们可以包含stop-row
- HTable table = new HTable(config, tableName);
- Filter filter = new InclusiveStopFilter(Bytes.toBytes("row1"));
- Scan scan = new Scan();
- scan.setFilter(filter);
- scan.setStartRow(Bytes.toBytes("row-5"));
- ResultScanner scanner = table.getScanner(scan);
- for(Result result: scanner){
- System.out.println(result);
- }
会看到row1包含在结果中了。
2.8 TimestampsFilter
当访问某个Timestamp的新闻的时候,我们需要如下的代码:
- TimestampsFilter(List<Long> timestamps)
接受的参数的list参数,该Filter也可以和scan.setTimeRange混合使用。例如:
- // vv TimestampFilterExample
- List<Long> ts = new ArrayList<Long>();
- ts.add(new Long(5));
- ts.add(new Long(10)); // co TimestampFilterExample-1-AddTS Add timestamps to the list.
- ts.add(new Long(15));
- Filter filter = new TimestampsFilter(ts);
- Scan scan1 = new Scan();
- scan1.setFilter(filter); // co TimestampFilterExample-2-AddFilter Add the filter to an otherwise default Scan instance.
- ResultScanner scanner1 = table.getScanner(scan1);
- // ^^ TimestampFilterExample
- System.out.println("Results of scan #1:");
- // vv TimestampFilterExample
- for (Result result : scanner1) {
- System.out.println(result);
- }
- scanner1.close();
- Scan scan2 = new Scan();
- scan2.setFilter(filter);
- scan2.setTimeRange(8, 12); // co TimestampFilterExample-3-AddTSRange Also add a time range to verify how it affects the filter
- ResultScanner scanner2 = table.getScanner(scan2);
- // ^^ TimestampFilterExample
- System.out.println("Results of scan #2:");
- // vv TimestampFilterExample
- for (Result result : scanner2) {
- System.out.println(result);
- }
- scanner2.close();
2.9 ColumnCountGetFilter
这个在scan时,无用。
2.10 ColumnPaginationFilter(下来用到的时候在仔细研究下)
* A filter, based on the ColumnCountGetFilter, takes two arguments: limit and offset.
* This filter can be used for row-based indexing, where references to other tables are stored across many columns,
* in order to efficient lookups and paginated results for end users.
- Filter filter = new ColumnPaginationFilter(5, 15);
- Scan scan = new Scan();
- scan.setFilter(filter);
- ResultScanner scanner = table.getScanner(scan);
- // ^^ ColumnPaginationFilterExample
- System.out.println("Results of scan:");
- // vv ColumnPaginationFilterExample
- for (Result result : scanner) {
- System.out.println(result);
- }
- scanner.close();
2.11 ColumnPrefixFilter
跟prefxiFilter相似,只是改成了Column,实例如下:值scan到与列值与前面匹配的数据。例如qual2匹配qual21。
- // vv ColumnPaginationFilterExample
- Filter filter = new ColumnPrefixFilter(Bytes.toBytes("qual2"));
- Scan scan = new Scan();
- scan.setFilter(filter);
- ResultScanner scanner = table.getScanner(scan);
- // ^^ ColumnPaginationFilterExample
- System.out.println("Results of scan:");
- // vv ColumnPaginationFilterExample
- for (Result result : scanner) {
- System.out.println(result);
- }
- scanner.close();
2.12 RandomRowFilter
随即的返回row的数据,构造函数为chance取值为0到1.0,如果<0则为空,如果>1则包含所有的行。
- RandomRowFilter(float chance)
3、Decorating Filters
3.1 SkipFilter装饰性过滤器
这个过滤器只作用到keyValueFilter上。KeyValueFilter会返回所有满足条件的row及对应的列。
而加上SkipFilter以后。会发现如果某一行的某一列不符合条件,则这一行全部不返回了。3.2 WhileMatchFilters
- public static void main(String[] args) throws IOException {
- Configuration conf = HBaseConfiguration.create();
- HBaseHelper helper = HBaseHelper.getHelper(conf);
- helper.dropTable("testtable");
- helper.createTable("testtable", "colfam1");
- System.out.println("Adding rows to table...");
- helper.fillTable("testtable", 1, 30, 5, 2, true, true, "colfam1");
- HTable table = new HTable(conf, "testtable");
- // vv SkipFilterExample
- Filter filter1 = new ValueFilter(CompareFilter.CompareOp.NOT_EQUAL,
- new BinaryComparator(Bytes.toBytes("val-0")));
- Scan scan = new Scan();
- scan.setFilter(filter1); // co SkipFilterExample-1-AddFilter1 Only add the ValueFilter to the first scan.
- ResultScanner scanner1 = table.getScanner(scan);
- // ^^ SkipFilterExample
- System.out.println("Results of scan #1:");
- int n = 0;
- // vv SkipFilterExample
- for (Result result : scanner1) {
- for (KeyValue kv : result.raw()) {
- System.out.println("KV: " + kv + ", Value: " +
- Bytes.toString(kv.getValue()));
- // ^^ SkipFilterExample
- n++;
- // vv SkipFilterExample
- }
- }
- scanner1.close();
- Filter filter2 = new SkipFilter(filter1);
- scan.setFilter(filter2); // co SkipFilterExample-2-AddFilter2 Add the decorating skip filter for the second scan.
- ResultScanner scanner2 = table.getScanner(scan);
- // ^^ SkipFilterExample
- System.out.println("Total KeyValue count for scan #1: " + n);
- n = 0;
- System.out.println("Results of scan #2:");
- // vv SkipFilterExample
- for (Result result : scanner2) {
- for (KeyValue kv : result.raw()) {
- System.out.println("KV: " + kv + ", Value: " +
- Bytes.toString(kv.getValue()));
- // ^^ SkipFilterExample
- n++;
- // vv SkipFilterExample
- }
- }
- scanner2.close();
- // ^^ SkipFilterExample
- System.out.println("Total KeyValue count for scan #2: " + n);
- }
相当于while执行,知道不match就break了返回了。