HBase之过滤器
filter ==> SQL 中的Where
filter的执行流程：
过滤器在客户端创建,然后通过RPC发送到服务器上,由服务器执行
基础过滤器：
比较器：
|
Comparator |
Description |
|
LongComparator |
Assumes the given value array is a Java Long number and uses Bytes.toLong() to convert it. |
|
BinaryComparator |
Uses Bytes.compareTo() to compare 当前值与阀值 |
|
BinaryPrefixComparator |
Bytes.compareTo() 进行匹配，但是从左端开始前缀匹配 |
|
NullComparator |
判断当前值是否为null |
|
BitComparator |
Performs a bitwise comparison, providing a BitwiseOp enumeration with AND, OR, and XOR operators. |
|
RegexStringComparator |
正则表达式匹配 |
|
SubstringComparator |
子字符串比对 |
- RowFilter 行键过滤器：
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.*;
import org.apache.hadoop.hbase.util.Bytes; import java.io.IOException; /**
* 基于行键上的过滤器
*/
public class FilterInHbase {
public static void main(String[] args) throws IOException{
Configuration configuration = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(configuration);
//建立user表的连接
Table table =connection.getTable(TableName.valueOf("user"));
Scan scan=new Scan();
//扫描列族info 列age
scan.addColumn(Bytes.toBytes("info"),Bytes.toBytes("age")); System.out.println("行过滤器");
//比较过滤器
//这儿是指找出行小于或者等于"510824118261011172"的所有行
Filter filter1 = new RowFilter(CompareFilter.CompareOp.LESS_OR_EQUAL, new BinaryComparator(Bytes.toBytes("813782218261011172")));
//添加过滤器到扫描器中
scan.setFilter(filter1);
ResultScanner scanner1 = table.getScanner(scan);
for(Result res:scanner1){
System.out.println(res);
}
scanner1.close(); System.out.println("正则过滤器");
//正则过滤器
//过滤行键以2结束的
Filter filter2 = new RowFilter(CompareFilter.CompareOp.EQUAL,
new RegexStringComparator(".*2$")
);
scan.setFilter(filter2);
ResultScanner scanner2 = table.getScanner(scan);
for (Result res:scanner2){
System.out.println(res);
}
scanner2.close(); //子串过滤器
//过滤行键中包含了"61826"这个字符串
System.out.println("子串过滤器");
Scan scan3=new Scan();
//扫描列族info 列age
scan3.addColumn(Bytes.toBytes("info"),Bytes.toBytes("age"));
Filter filter3=new RowFilter(CompareFilter.CompareOp.EQUAL,
new SubstringComparator("61826")
);
scan3.setFilter(filter3);
ResultScanner scanner3=table.getScanner(scan3);
for(Result res:scanner3){
System.out.println(res);
}
scanner3.close(); table.close();
connection.close();
}
} /**
Result: 行过滤器 < 813782218261011172
keyvalues={224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0}
keyvalues={510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0}
keyvalues={524382618264914241/info:age/1472196193913/Put/vlen=2/seqid=0}
keyvalues={673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0}
keyvalues={813782218261011172/info:age/1472196212550/Put/vlen=2/seqid=0}
正则过滤器 已2结尾的行键
keyvalues={510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0}
keyvalues={673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0}
keyvalues={813782218261011172/info:age/1472196212550/Put/vlen=2/seqid=0}
子串过滤器 包含了"61826"的行键
keyvalues={224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0}
keyvalues={524382618264914241/info:age/1472196193913/Put/vlen=2/seqid=0}
keyvalues={673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0}
**/
- FamilyFilter列族过滤器：
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.BinaryComparator;
import org.apache.hadoop.hbase.filter.CompareFilter;
import org.apache.hadoop.hbase.filter.FamilyFilter;
import org.apache.hadoop.hbase.filter.Filter;
import org.apache.hadoop.hbase.util.Bytes;
import java.io.IOException;
/**
* 列族过滤器
* 比较列族来返回结果
* 用户可以在列族一级筛选所需数据
*/
public class FamilyFilterInHbase {
public static void main(String[] args) throws IOException {
Configuration configuration = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(configuration);
//建立表的连接
Table table = connection.getTable(TableName.valueOf("user")); //比较过滤器 现在表有2个列族 info ship 当然实际有可能很多哦
//取info < "kiss" <ship < "wings"
Filter filter1 = new FamilyFilter(CompareFilter.CompareOp.GREATER, new BinaryComparator(Bytes.toBytes("kiss")));
Scan scan = new Scan();
scan.setFilter(filter1);
ResultScanner scanner = table.getScanner(scan);
for (Result result : scanner){
System.out.println(result);
}
scanner.close(); Get get1 = new Get(Bytes.toBytes("673782618261019142"));
get1.setFilter(filter1);
Result result1=table.get(get1);
System.out.println("Result of get1(): " + result1); //添加列族过滤器 info
Filter filter2= new FamilyFilter(CompareFilter.CompareOp.EQUAL,new BinaryComparator(Bytes.toBytes("info")));
//获取一行数据
Get get2 = new Get(Bytes.toBytes("673782618261019142"));
//但是get列族ship 那么==>> Result of get():keyvalues=NONE [本身冲突 所以无数据]
//如果get列族info 那么==>> Result of get2():keyvalues={673782618261019142/...
get2.addFamily(Bytes.toBytes("ship"));
get2.setFilter(filter2);
Result result2 =table.get(get2);
System.out.println("Result of get2():"+result2); scanner.close();
table.close();
connection.close(); }
}
/**
LESS "kiss"
keyvalues={224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0}
keyvalues={510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0, 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0, 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0, 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0, 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0}
keyvalues={524382618264914241/info:age/1472196193913/Put/vlen=2/seqid=0, 524382618264914241/info:height/1472196194783/Put/vlen=3/seqid=0, 524382618264914241/info:name/1472196193255/Put/vlen=8/seqid=0, 524382618264914241/info:phone/1472196195125/Put/vlen=11/seqid=0, 524382618264914241/info:weight/1472196194970/Put/vlen=3/seqid=0}
keyvalues={673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0, 673782618261019142/info:height/1472196211761/Put/vlen=3/seqid=0, 673782618261019142/info:name/1472196211678/Put/vlen=7/seqid=0, 673782618261019142/info:phone/1472196211956/Put/vlen=11/seqid=0, 673782618261019142/info:weight/1472196211841/Put/vlen=3/seqid=0}
keyvalues={813782218261011172/info:age/1472196212550/Put/vlen=2/seqid=0, 813782218261011172/info:height/1472196212605/Put/vlen=3/seqid=0, 813782218261011172/info:name/1472196212480/Put/vlen=8/seqid=0, 813782218261011172/info:phone/1472196212713/Put/vlen=11/seqid=0, 813782218261011172/info:weight/1472196212651/Put/vlen=3/seqid=0} GREATER "kiss"
keyvalues={224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0}
keyvalues={510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0, 510824118261011172/ship:email/1472196213422/Put/vlen=12/seqid=0, 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0}
keyvalues={524382618264914241/ship:addr/1472196195270/Put/vlen=7/seqid=0, 524382618264914241/ship:email/1472196195371/Put/vlen=13/seqid=0, 524382618264914241/ship:salary/1472196195485/Put/vlen=4/seqid=0}
keyvalues={673782618261019142/ship:addr/1472196212059/Put/vlen=8/seqid=0, 673782618261019142/ship:email/1472196212176/Put/vlen=12/seqid=0, 673782618261019142/ship:salary/1472196212284/Put/vlen=4/seqid=0}
keyvalues={813782218261011172/ship:addr/1472196212762/Put/vlen=4/seqid=0, 813782218261011172/ship:email/1472196212802/Put/vlen=12/seqid=0, 813782218261011172/ship:salary/1472196212840/Put/vlen=5/seqid=0} APPEND(LESS "kiss")
Result of get(): keyvalues={673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0, 673782618261019142/info:height/1472196211761/Put/vlen=3/seqid=0, 673782618261019142/info:name/1472196211678/Put/vlen=7/seqid=0, 673782618261019142/info:phone/1472196211956/Put/vlen=11/seqid=0, 673782618261019142/info:weight/1472196211841/Put/vlen=3/seqid=0}
APPEND(GREATER "kiss")
Result of get1(): keyvalues={673782618261019142/ship:addr/1472196212059/Put/vlen=8/seqid=0, 673782618261019142/ship:email/1472196212176/Put/vlen=12/seqid=0, 673782618261019142/ship:salary/1472196212284/Put/vlen=4/seqid=0} //filter "info" get "ship"
Result of get():keyvalues=NONE
//filter "info" get "info"
Result of get2():keyvalues={673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0, 673782618261019142/info:height/1472196211761/Put/vlen=3/seqid=0, 673782618261019142/info:name/1472196211678/Put/vlen=7/seqid=0, 673782618261019142/info:phone/1472196211956/Put/vlen=11/seqid=0, 673782618261019142/info:weight/1472196211841/Put/vlen=3/seqid=0} **/
- ValueFilter值过滤器：
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.*;
import org.apache.hadoop.hbase.util.Bytes;
import java.io.IOException; /**
* 值过滤器
* 根据值进行筛选 可以联合RegexStringComparator 进行设计
*/
public class FilterOfValue {
public static void main(String[] args) throws IOException {
Configuration configuration = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(configuration);
//建立表的连接
Table table = connection.getTable(TableName.valueOf("user")); //值中包含了177的过滤器
Filter filter = new ValueFilter(CompareFilter.CompareOp.EQUAL,
new SubstringComparator("1771392142")
); Scan scan = new Scan();
scan.setFilter(filter);
ResultScanner scanner = table.getScanner(scan);
for (Result result : scanner){
for (Cell cell:result.rawCells()){
System.out.println("Cell: "+cell+", Value: "+Bytes.toString(cell.getValueArray(),cell.getValueLength()));
}
}
scanner.close(); Get get1 = new Get(Bytes.toBytes("673782618261019142"));
get1.setFilter(filter);
Result result1=table.get(get1);
for (Cell cell : result1.rawCells()) {
System.out.println("Get1 Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
} Get get2 = new Get(Bytes.toBytes("813782218261011172"));
get2.setFilter(filter);
Result result2=table.get(get2);
for (Cell cell : result2.rawCells()) {
System.out.println("Get2 Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
} table.close();
connection.close(); }
} /**
原数据:
673782618261019142 column=info:phone, timestamp=1472196211956, value=17713921424
813782218261011172 column=info:phone, timestamp=1472196212713, value=12713921424
*输出结果:
Cell: 673782618261019142/info:phone/1472196211956/Put/vlen=11/seqid=0, Value: 73782618261019142infophoneVŻt�17713921424
Get1 Cell: 673782618261019142/info:phone/1472196211956/Put/vlen=11/seqid=0, Value: 17713921424
**/
- DependentColumnFilter 参考列过滤器
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.*;
import org.apache.hadoop.hbase.util.Bytes; import java.io.IOException; /**
* 参考列过滤器
* 根据列名进行筛选
*/
public class FilterOfDependentColumnFilter {
private static Table table=null;
public static Table getTable() {
if(table==null){
try {
Configuration configuration = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(configuration);
//建立表的连接
return connection.getTable(TableName.valueOf("user"));
}catch (IOException e){
return table;
}
}
return table;
} public static void filter(boolean drop,CompareFilter.CompareOp oper,ByteArrayComparable comparable) throws IOException {
Filter filter;
if (comparable != null) {
filter = new DependentColumnFilter(Bytes.toBytes("info"), Bytes.toBytes("phone"), drop, oper, comparable);
} else {
filter = new DependentColumnFilter(Bytes.toBytes("info"), Bytes.toBytes("phone"), drop);
}
Scan scan = new Scan();
scan.setFilter(filter);
ResultScanner scanner = getTable().getScanner(scan);
for (Result result : scanner) {
for (Cell cell : result.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
}
}
scanner.close();
Get get = new Get(Bytes.toBytes("673782618261019142"));
get.setFilter(filter);
Result result = getTable().get(get);
for (Cell cell : result.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
}
} public static void main(String[] args) throws IOException {
filter(true, CompareFilter.CompareOp.NO_OP, null);
filter(false, CompareFilter.CompareOp.NO_OP, null);
filter(true, CompareFilter.CompareOp.EQUAL,
new BinaryPrefixComparator(Bytes.toBytes("17713921424")));
filter(false, CompareFilter.CompareOp.EQUAL,
new BinaryPrefixComparator(Bytes.toBytes("17713921424")));
filter(true, CompareFilter.CompareOp.EQUAL,
new RegexStringComparator(".*\\.5"));
filter(false, CompareFilter.CompareOp.EQUAL,
new RegexStringComparator(".*\\.5"));
}
}
/** **/
- PrefixFilter 前缀过滤器：
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.*;
import org.apache.hadoop.hbase.util.Bytes; import java.io.IOException; /**
* 前缀过滤器
* 根据行键的前缀进行过滤
*/
public class FilterOfPrefixFilter {
public static void main(String[] args) throws IOException {
Configuration configuration = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(configuration);
//建立表的连接
Table table = connection.getTable(TableName.valueOf("user"));
Filter filter = new PrefixFilter(Bytes.toBytes("510824")); Scan scan = new Scan();
scan.setFilter(filter);
ResultScanner scanner = table.getScanner(scan);
for (Result result : scanner) {
for (Cell cell : result.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
} }
scanner.close();
Get get = new Get(Bytes.toBytes("row-5"));
get.setFilter(filter);
Result result = table.get(get);
for (Cell cell : result.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
} scanner.close();
table.close();
connection.close(); }
}
/**
Cell: 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0, Value: 188
Cell: 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0, Value: yangyang
Cell: 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0, Value: 18013921626
Cell: 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0, Value: 138
Cell: 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0, Value: shanghai
Cell: 510824118261011172/ship:email/1472196213422/Put/vlen=12/seqid=0, Value: 199@sina.com
Cell: 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0, Value: 50000
**/
- PageFilter 分页过滤器
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.Filter;
import org.apache.hadoop.hbase.filter.PageFilter;
import org.apache.hadoop.hbase.filter.PrefixFilter;
import org.apache.hadoop.hbase.util.Bytes;
import java.io.IOException;
/**
* 分页过滤器
*/
public class FilterOfPage {
private static final byte[] POSTFIX = new byte[] { 0x00 }; public static void main(String[] args) throws IOException {
Configuration configuration = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(configuration);
//建立表的连接
Table table = connection.getTable(TableName.valueOf("user"));
//分页大小
Filter filter = new PageFilter(3); int totalRows = 0;
byte[] lastRow = null; while (true) {
Scan scan = new Scan();
scan.setFilter(filter);
if (lastRow != null) {
byte[] startRow = Bytes.add(lastRow, POSTFIX);
System.out.println("start row: " +
Bytes.toStringBinary(startRow));
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); table.close();
connection.close(); }
}
/**
0: keyvalues={224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0}
1: keyvalues={510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0, 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0, 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0, 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0, 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0, 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0, 510824118261011172/ship:email/1472196213422/Put/vlen=12/seqid=0, 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0}
2: keyvalues={524382618264914241/info:age/1472196193913/Put/vlen=2/seqid=0, 524382618264914241/info:height/1472196194783/Put/vlen=3/seqid=0, 524382618264914241/info:name/1472196193255/Put/vlen=8/seqid=0, 524382618264914241/info:phone/1472196195125/Put/vlen=11/seqid=0, 524382618264914241/info:weight/1472196194970/Put/vlen=3/seqid=0, 524382618264914241/ship:addr/1472196195270/Put/vlen=7/seqid=0, 524382618264914241/ship:email/1472196195371/Put/vlen=13/seqid=0, 524382618264914241/ship:salary/1472196195485/Put/vlen=4/seqid=0}
start row: 524382618264914241\x00
0: keyvalues={673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0, 673782618261019142/info:height/1472196211761/Put/vlen=3/seqid=0, 673782618261019142/info:name/1472196211678/Put/vlen=7/seqid=0, 673782618261019142/info:phone/1472196211956/Put/vlen=11/seqid=0, 673782618261019142/info:weight/1472196211841/Put/vlen=3/seqid=0, 673782618261019142/ship:addr/1472196212059/Put/vlen=8/seqid=0, 673782618261019142/ship:email/1472196212176/Put/vlen=12/seqid=0, 673782618261019142/ship:salary/1472196212284/Put/vlen=4/seqid=0}
1: keyvalues={813782218261011172/info:age/1472196212550/Put/vlen=2/seqid=0, 813782218261011172/info:height/1472196212605/Put/vlen=3/seqid=0, 813782218261011172/info:name/1472196212480/Put/vlen=8/seqid=0, 813782218261011172/info:phone/1472196212713/Put/vlen=11/seqid=0, 813782218261011172/info:weight/1472196212651/Put/vlen=3/seqid=0, 813782218261011172/ship:addr/1472196212762/Put/vlen=4/seqid=0, 813782218261011172/ship:email/1472196212802/Put/vlen=12/seqid=0, 813782218261011172/ship:salary/1472196212840/Put/vlen=5/seqid=0}
start row: 813782218261011172\x00
2016-08-29 17:17:57,197 INFO [main] client.ConnectionManager$HConnectionImplementation: Closing zookeeper sessionid=0x56c13890bf003a
total rows: 5
**/
- KeyOnlyFilter 行键过滤器
FirstKeyOnlyFilter 首次行键过滤器
FirstKeyValueMatchingQualifiersFilter
- InclusiveStopFilter 包含结束的过滤器
FuzzyRowFilter 模糊行匹配过滤器
ColumnCountGetFilter 列计数过滤器
可以使用这个过滤器来限制每行最多取回多少列，当一行的列数到设定的最大值，这个过滤器会停止整个扫描操作。
适合在get方法中使用
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.ColumnCountGetFilter;
import org.apache.hadoop.hbase.util.Bytes;
import java.io.IOException; /**
* ColumnCountGetFilter 列数过滤器
*/
public class FilterOfColumnCountGetFilter {
public static void main(String args[]) throws IOException{
Configuration configuration = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(configuration);
Table table = connection.getTable(TableName.valueOf("user")); //限制返回的列数
ColumnCountGetFilter columnCountGetFilter = new ColumnCountGetFilter(3);
// column=info:age,column=info:height,column=info:name,column=info:phone,column=info:weight,
Get get = new Get(Bytes.toBytes("224382618261914241"));
get.setFilter(columnCountGetFilter);
Result result = table.get(get);
System.out.println("Result of columnCountGetFilter get: ");
for (Cell cell : result.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
}
Get get1 = new Get(Bytes.toBytes("224382618261914241"));
Result result1 = table.get(get1);
System.out.println("Result of get: ");
for (Cell cell : result1.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
}
table.close();
connection.close();
}
} /**
Result of columnCountGetFilter get:
Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24
Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158
Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi
Result of get:
Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24
Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158
Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi
Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424
Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128
Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu
Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: qq@sina.com
Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000
**/
- ColumnPaginationFilter 列分页过滤
HBase 的列可以很多，所以出现了列分页
该过滤器可以对一行的所有列进行分页构造函数：
ColumnPaginationFilter(int limit, int offset)
ColumnPaginationFilter(int limit, byte[] columnOffset)limit 限制取回来列数 offset 偏移位就是开始位置 byte[] 字符串/书签偏移从哪里开始分页。
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.ColumnPaginationFilter;
import org.apache.hadoop.hbase.util.Bytes; import java.io.IOException; /**
* ColumnPageFilter 列分页过滤器
*/
public class FilterOColumnPageFilter {
public static void main(String args[]) throws IOException{
Configuration configuration = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(configuration);
Table table = connection.getTable(TableName.valueOf("user"));
//限制返回的列数 从第4列开始取 取3列数据
ColumnPaginationFilter columnPaginationFilter = new ColumnPaginationFilter(3,4);
Get get = new Get(Bytes.toBytes("224382618261914241"));
get.setFilter(columnPaginationFilter);
Result result = table.get(get);
System.out.println("Result of ColumnPageFilter get: ");
for (Cell cell : result.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
} //限制返回的列数 从第name列开始取 取3列数据
ColumnPaginationFilter columnPaginationFilter2 = new ColumnPaginationFilter(3,Bytes.toBytes("name"));
Get get2 = new Get(Bytes.toBytes("224382618261914241"));
get2.setFilter(columnPaginationFilter2);
Result result2 = table.get(get2);
System.out.println("Result of ColumnPageFilter get: ");
for (Cell cell : result2.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
} Get get1 = new Get(Bytes.toBytes("224382618261914241"));
Result result1 = table.get(get1);
System.out.println("Result of get: ");
for (Cell cell : result1.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
}
table.close();
connection.close();
}
} /**
Result of ColumnPageFilter get:
Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128
Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu
Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: qq@sina.com
Result of ColumnPageFilter get:
Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi
Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424
Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128
Result of get:
Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24
Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158
Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi
Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424
Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128
Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu
Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: qq@sina.com
Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000
**/
- ColumnPrefixFilter 列前缀过虑器
该过滤器通过对列名称进行前缀匹配过滤
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.ColumnPrefixFilter;
import org.apache.hadoop.hbase.filter.Filter;
import org.apache.hadoop.hbase.util.Bytes;
import java.io.IOException; /**
* ColumnPrefixFilter 列前缀过滤器
*/
public class FilterOfColumnPrefixFilter {
public static void main(String args[]) throws IOException{
Configuration configuration = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(configuration);
Table table = connection.getTable(TableName.valueOf("user"));
//取列名已ag开头的
Filter columnPrefixFilter = new ColumnPrefixFilter(Bytes.toBytes("a"));
Get get = new Get(Bytes.toBytes("224382618261914241"));
get.setFilter(columnPrefixFilter);
Result result = table.get(get);
System.out.println("Result of columnPrefixFilter get: ");
for (Cell cell : result.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
} Get get1 = new Get(Bytes.toBytes("224382618261914241"));
Result result1 = table.get(get1);
System.out.println("Result of get: ");
for (Cell cell : result1.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
}
table.close();
connection.close();
}
} /**
Result of columnPrefixFilter get:
Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24
Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu
Result of get:
Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24
Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158
Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi
Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424
Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128
Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu
Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: qq@sina.com
Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000
**/ - MultipleColumnPrefixFilter 多个列前缀过滤器
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.Filter;
import org.apache.hadoop.hbase.filter.MultipleColumnPrefixFilter;
import org.apache.hadoop.hbase.util.Bytes; import java.io.IOException; /**
* MultipleColumnPrefixFilter 多个列前缀过滤器
*/
public class FilterOfMultipleColumnPrefixFilter {
public static void main(String args[]) throws IOException{
Configuration configuration = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(configuration);
Table table = connection.getTable(TableName.valueOf("user"));
//取列名已a开头的 还有已h 开头的
Filter filter = new MultipleColumnPrefixFilter(new byte[][] {Bytes.toBytes("a"),Bytes.toBytes("h")});
Get get = new Get(Bytes.toBytes("224382618261914241"));
get.setFilter(filter);
Result result = table.get(get);
System.out.println("Result of columnPrefixFilter get: ");
for (Cell cell : result.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
} Get get1 = new Get(Bytes.toBytes("224382618261914241"));
Result result1 = table.get(get1);
System.out.println("Result of get: ");
for (Cell cell : result1.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
}
table.close();
connection.close();
}
} /**
Result of columnPrefixFilter get:
Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24
Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158
Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu
Result of get:
Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24
Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158
Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi
Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424
Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128
Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu
Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: qq@sina.com
Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000
**/ - ColumnRangeFilter 列范围过滤器
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.ColumnRangeFilter;
import org.apache.hadoop.hbase.filter.Filter;
import org.apache.hadoop.hbase.util.Bytes; import java.io.IOException; /**
* ColumnRangeFilter 列范围过滤器
*/
public class FilterOfColumnRangeFilter {
public static void main(String args[]) throws IOException{
Configuration configuration = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(configuration);
Table table = connection.getTable(TableName.valueOf("user"));
//minColumn - minimum value for the column range. If if it's null, there is no lower bound.
//minColumnInclusive - if true, include minColumn in the range. 如果是true 就要包含minColumn
//maxColumn - maximum value for the column range. If it's null,
//maxColumnInclusive - if true, include maxColumn in the range. there is no upper bound.
//从email到phone范围内的所有列 第二个参数为true所以包含了email
Filter filter = new ColumnRangeFilter(Bytes.toBytes("email"), true, Bytes.toBytes("phone"), false);
Get get = new Get(Bytes.toBytes("224382618261914241"));
get.setFilter(filter);
Result result = table.get(get);
System.out.println("Result of ColumnRangeFilter get: ");
for (Cell cell : result.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
} Get get1 = new Get(Bytes.toBytes("224382618261914241"));
Result result1 = table.get(get1);
System.out.println("Result of get: ");
for (Cell cell : result1.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
}
table.close();
connection.close();
}
} /**
Result of ColumnRangeFilter get:
Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158
Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi
Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: qq@sina.com
Result of get:
Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24
Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158
Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi
Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424
Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128
Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu
Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: qq@sina.com
Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000
2016-08-31 17:53:28,394 INFO [main] client.ConnectionManager$HConnectionImplementati
**/ - SingleColumnValueFilter 单列值过滤器
用一列的值决定是否一行数据被过滤import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.CompareFilter;
import org.apache.hadoop.hbase.filter.SingleColumnValueFilter;
import org.apache.hadoop.hbase.filter.SubstringComparator;
import org.apache.hadoop.hbase.util.Bytes;
import java.io.IOException; /**
* SingleColumnValueFilter 单列过滤器
*/
public class FilterOfSingleColumnValueFilter {
public static void main(String args[]) throws IOException{
Configuration configuration = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(configuration);
Table table = connection.getTable(TableName.valueOf("user")); // 510824118261011172 column=ship:email, timestamp=1472196213422, value=199@sina.com
SingleColumnValueFilter singleColumnValueFilter = new SingleColumnValueFilter(Bytes.toBytes("ship"),Bytes.toBytes("email"), CompareFilter.CompareOp.EQUAL,new SubstringComparator("199@sina.com"));
singleColumnValueFilter.setFilterIfMissing(true); Scan scan = new Scan();
scan.setFilter(singleColumnValueFilter);
ResultScanner results = table.getScanner(scan);
for (Result result:results){
for (Cell cell :result.rawCells()){
System.out.println("Cell: "+cell+",Value:" + Bytes.toString(cell.getValueArray(),cell.getValueOffset(), cell.getValueLength()));
}
}
results.close();
// 224382618261914241 column=ship:email, timestamp=1472196211530, value=qq@sina.com
Get get = new Get(Bytes.toBytes("224382618261914241"));
get.setFilter(singleColumnValueFilter);
Result result = table.get(get);
System.out.println("Result of get: ");
for (Cell cell : result.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
} Get get1 = new Get(Bytes.toBytes("510824118261011172"));
get1.setFilter(singleColumnValueFilter);
Result result1 = table.get(get1);
System.out.println("Result of get1: ");
for (Cell cell : result1.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
} table.close();
connection.close();
}
} /**
Cell: 510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0,Value:18
Cell: 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0,Value:188
Cell: 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0,Value:yangyang
Cell: 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0,Value:18013921626
Cell: 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0,Value:138
Cell: 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0,Value:shanghai
Cell: 510824118261011172/ship:email/1472196213422/Put/vlen=12/seqid=0,Value:199@sina.com
Cell: 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0,Value:50000
Result of get:
Result of get1:
Cell: 510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0, Value: 18
Cell: 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0, Value: 188
Cell: 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0, Value: yangyang
Cell: 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0, Value: 18013921626
Cell: 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0, Value: 138
Cell: 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0, Value: shanghai
Cell: 510824118261011172/ship:email/1472196213422/Put/vlen=12/seqid=0, Value: 199@sina.com
Cell: 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0, Value: 50000
**/ - SingleColumnValueExcludeFilter 单列排除过滤器
单列排除过滤器继承自SingleColumnValueFilter，过滤的方式还是按照SingleColumnValueFilter去过滤，
但是最后的结果集去除了作为过滤条件的列
// 510824118261011172 column=ship:email, timestamp=1472196213422, value=199@sina.com
SingleColumnValueExcludeFilter singleColumnValueExcludeFilter = new SingleColumnValueExcludeFilter(Bytes.toBytes("ship"),Bytes.toBytes("email"), CompareFilter.CompareOp.EQUAL,new SubstringComparator("199@sina.com"));
singleColumnValueExcludeFilter.setFilterIfMissing(true); Scan scan = new Scan();
scan.setFilter(singleColumnValueExcludeFilter);
ResultScanner results = table.getScanner(scan);
for (Result result:results){
for (Cell cell :result.rawCells()){
System.out.println("Cell: "+cell+",Value:" + Bytes.toString(cell.getValueArray(),cell.getValueOffset(), cell.getValueLength()));
}
}
results.close();
// 224382618261914241 column=ship:email, timestamp=1472196211530, value=qq@sina.com
Get get = new Get(Bytes.toBytes("224382618261914241"));
get.setFilter(singleColumnValueExcludeFilter);
Result result = table.get(get);
System.out.println("Result of get: ");
for (Cell cell : result.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
} Get get1 = new Get(Bytes.toBytes("510824118261011172"));
get1.setFilter(singleColumnValueExcludeFilter);
Result result1 = table.get(get1);
System.out.println("Result of get1: ");
for (Cell cell : result1.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
}
/**
* Cell: 510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0,Value:18
Cell: 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0,Value:188
Cell: 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0,Value:yangyang
Cell: 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0,Value:18013921626
Cell: 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0,Value:138
Cell: 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0,Value:shanghai
Cell: 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0,Value:50000
Result of get:
Result of get1:
Cell: 510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0, Value: 18
Cell: 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0, Value: 188
Cell: 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0, Value: yangyang
Cell: 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0, Value: 18013921626
Cell: 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0, Value: 138
Cell: 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0, Value: shanghai
Cell: 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0, Value: 50000
*/ - TimestampsFilter 时间过滤器
使用时间戳的值来过滤值import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.Filter;
import org.apache.hadoop.hbase.filter.TimestampsFilter;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List; /**
* TimestampsFilter 时间过滤器
*/
public class FilterOfTimestampsFilter { public static void main(String args[]) throws IOException{
Configuration configuration = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(configuration);
Table table = connection.getTable(TableName.valueOf("user"));
List<Long> ts = new ArrayList<Long>();
ts.add(new Long("1472196195270"));
ts.add(new Long("1472196212480"));
ts.add(new Long(15));
Filter filter = new TimestampsFilter(ts);
Scan scan1 = new Scan();
scan1.setFilter(filter);
ResultScanner scanner1 = table.getScanner(scan1);
for(Result result:scanner1){
System.out.println(result);
}
scanner1.close();
Scan scan2 = new Scan();
scan2.setFilter(filter);
//加了时间范围 故意多加了1s 1472196212480+1=1472196212481
scan2.setTimeRange(1472196195271L, 1472196212481L);
ResultScanner scanner2 = table.getScanner(scan2);
System.out.println("Add time range:");
for (Result result : scanner2) {
System.out.println(result);
}
scanner2.close();
}
}
/**
keyvalues={524382618264914241/ship:addr/1472196195270/Put/vlen=7/seqid=0}
keyvalues={813782218261011172/info:name/1472196212480/Put/vlen=8/seqid=0}
Add time range:
keyvalues={813782218261011172/info:name/1472196212480/Put/vlen=8/seqid=0}
**/ - RandomRowFilter 随机行过滤器
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.Filter;
import org.apache.hadoop.hbase.filter.RandomRowFilter;
import org.apache.hadoop.hbase.util.Bytes; import java.io.IOException; /**
* RandomRowFilter 随机行过滤器
*/
public class FilterOfRandomRowFilter {
public static void main(String args[]) throws IOException{
Configuration configuration = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(configuration);
Table table = connection.getTable(TableName.valueOf("user"));
//该构造参数0-1之间,如果为负数全部过滤,大于1全部通过 0.2f表的该行数据20%的概率通过
Filter filter = new RandomRowFilter(0.2f);
Scan scan = new Scan();
scan.setFilter(filter);
ResultScanner results = table.getScanner(scan);
for (Result result:results) {
for (Cell cell : result.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
}
}
table.close();
connection.close();
}
} /**
Cell: 510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0, Value: 18
Cell: 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0, Value: 188
Cell: 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0, Value: yangyang
Cell: 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0, Value: 18013921626
Cell: 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0, Value: 138
Cell: 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0, Value: shanghai
Cell: 510824118261011172/ship:email/1472196213422/Put/vlen=12/seqid=0, Value: 199@sina.com
Cell: 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0, Value: 50000
**/ - Decorating Filters 装饰过滤器或附加过滤器
- SkipFilter 跳过过滤器 根据构造器中的过滤器为基准跳过行
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.*;
import org.apache.hadoop.hbase.util.Bytes;
import java.io.IOException; /**
* SkipFilter 跳过(忽略)过滤器
* similarface
* similarface@outlook.com
*/
public class FilterOfSkipFilter {
public static void main(String args[]) throws IOException{
Configuration configuration = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(configuration);
Table table = connection.getTable(TableName.valueOf("user"));
//510824118261011172 column=info:height, timestamp=1472196213056, value=188
//673782618261019142 column=info:weight, timestamp=1472196211841, value=188
//如果列值中含有188这个数值,那么这列将会跳过
Filter filter = new ValueFilter(CompareFilter.CompareOp.NOT_EQUAL,new BinaryComparator(Bytes.toBytes("188"))); Scan scan = new Scan();
scan.setFilter(filter);
ResultScanner results = table.getScanner(scan);
for (Result result:results) {
for (Cell cell : result.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
}
}
Scan scan1 = new Scan();
//skipfilter的构造参数时filter
// filter==>如果列值中含有188这个数值,那么这列将会跳过 filter2==>就是如果列值中含有188这个数值那么整个行都会被跳过 表示不会出现[510824118261011172,673782618261019142]
Filter filter2 = new SkipFilter(filter);
scan1.setFilter(filter2);
ResultScanner scanner2= table.getScanner(scan1);
for(Result result:scanner2){
for (Cell cell : result.rawCells()) {
System.out.println("SKIP Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
}
}
results.close();
scanner2.close();
table.close();
connection.close();
}
} /**
Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24
Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158
Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi
Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424
Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128
Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu
Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: qq@sina.com
Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000
Cell: 510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0, Value: 18
Cell: 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0, Value: yangyang
Cell: 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0, Value: 18013921626
Cell: 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0, Value: 138
Cell: 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0, Value: shanghai
Cell: 510824118261011172/ship:email/1472196213422/Put/vlen=12/seqid=0, Value: 199@sina.com
Cell: 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0, Value: 50000
Cell: 524382618264914241/info:age/1472196193913/Put/vlen=2/seqid=0, Value: 30
Cell: 524382618264914241/info:height/1472196194783/Put/vlen=3/seqid=0, Value: 168
Cell: 524382618264914241/info:name/1472196193255/Put/vlen=8/seqid=0, Value: zhangsan
Cell: 524382618264914241/info:phone/1472196195125/Put/vlen=11/seqid=0, Value: 13212321424
Cell: 524382618264914241/info:weight/1472196194970/Put/vlen=3/seqid=0, Value: 168
Cell: 524382618264914241/ship:addr/1472196195270/Put/vlen=7/seqid=0, Value: beijing
Cell: 524382618264914241/ship:email/1472196195371/Put/vlen=13/seqid=0, Value: sina@sina.com
Cell: 524382618264914241/ship:salary/1472196195485/Put/vlen=4/seqid=0, Value: 3000
Cell: 673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0, Value: 19
Cell: 673782618261019142/info:height/1472196211761/Put/vlen=3/seqid=0, Value: 178
Cell: 673782618261019142/info:name/1472196211678/Put/vlen=7/seqid=0, Value: zhaoliu
Cell: 673782618261019142/info:phone/1472196211956/Put/vlen=11/seqid=0, Value: 17713921424
Cell: 673782618261019142/ship:addr/1472196212059/Put/vlen=8/seqid=0, Value: shenzhen
Cell: 673782618261019142/ship:email/1472196212176/Put/vlen=12/seqid=0, Value: 126@sina.com
Cell: 673782618261019142/ship:salary/1472196212284/Put/vlen=4/seqid=0, Value: 8000
Cell: 813782218261011172/info:age/1472196212550/Put/vlen=2/seqid=0, Value: 19
Cell: 813782218261011172/info:height/1472196212605/Put/vlen=3/seqid=0, Value: 158
Cell: 813782218261011172/info:name/1472196212480/Put/vlen=8/seqid=0, Value: wangmazi
Cell: 813782218261011172/info:phone/1472196212713/Put/vlen=11/seqid=0, Value: 12713921424
Cell: 813782218261011172/info:weight/1472196212651/Put/vlen=3/seqid=0, Value: 118
Cell: 813782218261011172/ship:addr/1472196212762/Put/vlen=4/seqid=0, Value: xian
Cell: 813782218261011172/ship:email/1472196212802/Put/vlen=12/seqid=0, Value: 139@sina.com
Cell: 813782218261011172/ship:salary/1472196212840/Put/vlen=5/seqid=0, Value: 10000 SKIP Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24
SKIP Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158
SKIP Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi
SKIP Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424
SKIP Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128
SKIP Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu
SKIP Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: qq@sina.com
SKIP Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000
SKIP Cell: 524382618264914241/info:age/1472196193913/Put/vlen=2/seqid=0, Value: 30
SKIP Cell: 524382618264914241/info:height/1472196194783/Put/vlen=3/seqid=0, Value: 168
SKIP Cell: 524382618264914241/info:name/1472196193255/Put/vlen=8/seqid=0, Value: zhangsan
SKIP Cell: 524382618264914241/info:phone/1472196195125/Put/vlen=11/seqid=0, Value: 13212321424
SKIP Cell: 524382618264914241/info:weight/1472196194970/Put/vlen=3/seqid=0, Value: 168
SKIP Cell: 524382618264914241/ship:addr/1472196195270/Put/vlen=7/seqid=0, Value: beijing
SKIP Cell: 524382618264914241/ship:email/1472196195371/Put/vlen=13/seqid=0, Value: sina@sina.com
SKIP Cell: 524382618264914241/ship:salary/1472196195485/Put/vlen=4/seqid=0, Value: 3000
SKIP Cell: 813782218261011172/info:age/1472196212550/Put/vlen=2/seqid=0, Value: 19
SKIP Cell: 813782218261011172/info:height/1472196212605/Put/vlen=3/seqid=0, Value: 158
SKIP Cell: 813782218261011172/info:name/1472196212480/Put/vlen=8/seqid=0, Value: wangmazi
SKIP Cell: 813782218261011172/info:phone/1472196212713/Put/vlen=11/seqid=0, Value: 12713921424
SKIP Cell: 813782218261011172/info:weight/1472196212651/Put/vlen=3/seqid=0, Value: 118
SKIP Cell: 813782218261011172/ship:addr/1472196212762/Put/vlen=4/seqid=0, Value: xian
SKIP Cell: 813782218261011172/ship:email/1472196212802/Put/vlen=12/seqid=0, Value: 139@sina.com
SKIP Cell: 813782218261011172/ship:salary/1472196212840/Put/vlen=5/seqid=0, Value: 10000
**/ - WhileMatchFilter 当匹配到就中断扫描
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.*;
import org.apache.hadoop.hbase.util.Bytes; import java.io.IOException; /**
* WhileMatchFilter 全匹配过滤器 [当匹配到就中断扫描]
* similarface
* similarface@outlook.com
*/
public class FilterOfWhileMatchFilter {
public static void main(String args[]) throws IOException{
Configuration configuration = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(configuration);
Table table = connection.getTable(TableName.valueOf("user"));
//匹配 510824118261011172 的行
Filter filter1=new RowFilter(CompareFilter.CompareOp.NOT_EQUAL,new BinaryComparator(Bytes.toBytes("510824118261011172")));
Scan scan = new Scan();
scan.setFilter(filter1);
ResultScanner results = table.getScanner(scan);
for (Result result:results) {
for (Cell cell : result.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
}
}
// 匹配 510824118261011172 的行马上中断本次扫描操作
Filter filter2 = new WhileMatchFilter(filter1);
Scan scan1 = new Scan();
scan1.setFilter(filter2);
ResultScanner scanner2= table.getScanner(scan1);
for(Result result:scanner2){
for (Cell cell : result.rawCells()) {
System.out.println("WhileMatchFilter Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
}
}
results.close();
scanner2.close();
table.close();
connection.close();
}
} /**
Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24
Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158
...
Cell: 524382618264914241/ship:addr/1472196195270/Put/vlen=7/seqid=0, Value: beijing
Cell: 524382618264914241/ship:email/1472196195371/Put/vlen=13/seqid=0, Value: sina@sina.com
...
Cell: 813782218261011172/ship:salary/1472196212840/Put/vlen=5/seqid=0, Value: 10000
WhileMatchFilter Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24
...
WhileMatchFilter Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000
**/ - FilterList 过滤列表［多个过滤器一起起作用］
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.filter.*;
import org.apache.hadoop.hbase.util.Bytes;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List; /**
* FilterList 过滤器列表[多个过滤器组合在一起]
* similarface
* similarface@outlook.com
*/
public class FilterOfFilterList {
public static void main(String args[]) throws IOException{
Configuration configuration = HBaseConfiguration.create();
Connection connection = ConnectionFactory.createConnection(configuration);
Table table = connection.getTable(TableName.valueOf("user"));
List<Filter> filters = new ArrayList<Filter>();
Filter filter1=new RowFilter(CompareFilter.CompareOp.GREATER_OR_EQUAL,
new BinaryComparator(Bytes.toBytes("524382618264914241")));
filters.add(filter1); Filter filter2=new RowFilter(CompareFilter.CompareOp.LESS_OR_EQUAL,
new BinaryComparator(Bytes.toBytes("813782218261011172"))); filters.add(filter2);
//列名过滤器
Filter filter3=new QualifierFilter(CompareFilter.CompareOp.EQUAL,
new RegexStringComparator("age")); filters.add(filter3);
//行键 Between "524382618264914241" and "813782218261011172" and column="age"
FilterList filterList1 = new FilterList(filters); Scan scan = new Scan();
scan.setFilter(filterList1); ResultScanner results = table.getScanner(scan);
for (Result result:results) {
for (Cell cell : result.rawCells()) {
System.out.println("Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
}
}
results.close();
//行键 Between "524382618264914241" or "813782218261011172" or column="age"
FilterList filterList2 = new FilterList(FilterList.Operator.MUST_PASS_ONE,filters);
scan.setFilter(filterList2);
ResultScanner scanner2= table.getScanner(scan);
for(Result result:scanner2){
for (Cell cell : result.rawCells()) {
System.out.println("MUST_PASS_ONE Cell: " + cell + ", Value: " +
Bytes.toString(cell.getValueArray(), cell.getValueOffset(),
cell.getValueLength()));
}
}
scanner2.close();
table.close();
connection.close();
}
} /** Cell: 524382618264914241/info:age/1472196193913/Put/vlen=2/seqid=0, Value: 30
Cell: 673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0, Value: 19
Cell: 813782218261011172/info:age/1472196212550/Put/vlen=2/seqid=0, Value: 19
MUST_PASS_ONE Cell: 224382618261914241/info:age/1472196211169/Put/vlen=2/seqid=0, Value: 24
MUST_PASS_ONE Cell: 224382618261914241/info:height/1472196211234/Put/vlen=3/seqid=0, Value: 158
MUST_PASS_ONE Cell: 224382618261914241/info:name/1472196211088/Put/vlen=4/seqid=0, Value: lisi
MUST_PASS_ONE Cell: 224382618261914241/info:phone/1472196211427/Put/vlen=11/seqid=0, Value: 13213921424
MUST_PASS_ONE Cell: 224382618261914241/info:weight/1472196211386/Put/vlen=3/seqid=0, Value: 128
MUST_PASS_ONE Cell: 224382618261914241/ship:addr/1472196211487/Put/vlen=7/seqid=0, Value: chengdu
MUST_PASS_ONE Cell: 224382618261914241/ship:email/1472196211530/Put/vlen=11/seqid=0, Value: qq@sina.com
MUST_PASS_ONE Cell: 224382618261914241/ship:salary/1472196211594/Put/vlen=4/seqid=0, Value: 5000
MUST_PASS_ONE Cell: 510824118261011172/info:age/1472196213020/Put/vlen=2/seqid=0, Value: 18
MUST_PASS_ONE Cell: 510824118261011172/info:height/1472196213056/Put/vlen=3/seqid=0, Value: 188
MUST_PASS_ONE Cell: 510824118261011172/info:name/1472196212942/Put/vlen=8/seqid=0, Value: yangyang
MUST_PASS_ONE Cell: 510824118261011172/info:phone/1472196213237/Put/vlen=11/seqid=0, Value: 18013921626
MUST_PASS_ONE Cell: 510824118261011172/info:weight/1472196213169/Put/vlen=3/seqid=0, Value: 138
MUST_PASS_ONE Cell: 510824118261011172/ship:addr/1472196213328/Put/vlen=8/seqid=0, Value: shanghai
MUST_PASS_ONE Cell: 510824118261011172/ship:email/1472196213422/Put/vlen=12/seqid=0, Value: 199@sina.com
MUST_PASS_ONE Cell: 510824118261011172/ship:salary/1472196214963/Put/vlen=5/seqid=0, Value: 50000
MUST_PASS_ONE Cell: 524382618264914241/info:age/1472196193913/Put/vlen=2/seqid=0, Value: 30
MUST_PASS_ONE Cell: 524382618264914241/info:height/1472196194783/Put/vlen=3/seqid=0, Value: 168
MUST_PASS_ONE Cell: 524382618264914241/info:name/1472196193255/Put/vlen=8/seqid=0, Value: zhangsan
MUST_PASS_ONE Cell: 524382618264914241/info:phone/1472196195125/Put/vlen=11/seqid=0, Value: 13212321424
MUST_PASS_ONE Cell: 524382618264914241/info:weight/1472196194970/Put/vlen=3/seqid=0, Value: 168
MUST_PASS_ONE Cell: 524382618264914241/ship:addr/1472196195270/Put/vlen=7/seqid=0, Value: beijing
MUST_PASS_ONE Cell: 524382618264914241/ship:email/1472196195371/Put/vlen=13/seqid=0, Value: sina@sina.com
MUST_PASS_ONE Cell: 524382618264914241/ship:salary/1472196195485/Put/vlen=4/seqid=0, Value: 3000
MUST_PASS_ONE Cell: 673782618261019142/info:age/1472196211733/Put/vlen=2/seqid=0, Value: 19
MUST_PASS_ONE Cell: 673782618261019142/info:height/1472196211761/Put/vlen=3/seqid=0, Value: 178
MUST_PASS_ONE Cell: 673782618261019142/info:name/1472196211678/Put/vlen=7/seqid=0, Value: zhaoliu
MUST_PASS_ONE Cell: 673782618261019142/info:phone/1472196211956/Put/vlen=11/seqid=0, Value: 17713921424
MUST_PASS_ONE Cell: 673782618261019142/info:weight/1472196211841/Put/vlen=3/seqid=0, Value: 188
MUST_PASS_ONE Cell: 673782618261019142/ship:addr/1472196212059/Put/vlen=8/seqid=0, Value: shenzhen
MUST_PASS_ONE Cell: 673782618261019142/ship:email/1472196212176/Put/vlen=12/seqid=0, Value: 126@sina.com
MUST_PASS_ONE Cell: 673782618261019142/ship:salary/1472196212284/Put/vlen=4/seqid=0, Value: 8000
MUST_PASS_ONE Cell: 813782218261011172/info:age/1472196212550/Put/vlen=2/seqid=0, Value: 19
MUST_PASS_ONE Cell: 813782218261011172/info:height/1472196212605/Put/vlen=3/seqid=0, Value: 158
MUST_PASS_ONE Cell: 813782218261011172/info:name/1472196212480/Put/vlen=8/seqid=0, Value: wangmazi
MUST_PASS_ONE Cell: 813782218261011172/info:phone/1472196212713/Put/vlen=11/seqid=0, Value: 12713921424
MUST_PASS_ONE Cell: 813782218261011172/info:weight/1472196212651/Put/vlen=3/seqid=0, Value: 118
MUST_PASS_ONE Cell: 813782218261011172/ship:addr/1472196212762/Put/vlen=4/seqid=0, Value: xian
MUST_PASS_ONE Cell: 813782218261011172/ship:email/1472196212802/Put/vlen=12/seqid=0, Value: 139@sina.com
MUST_PASS_ONE Cell: 813782218261011172/ship:salary/1472196212840/Put/vlen=5/seqid=0, Value: 10000
**/ - Custom Filters
- Custom Filter Loading
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