过滤器的类型很多，但是可以分为两大类——比较过滤器，专用过滤器
过滤器的作用是在服务端判断数据是否满足条件，然后只将满足条件的数据返回给客户端；
hbase过滤器的比较运算符：
LESS <
LESS_OR_EQUAL <=
EQUAL =
NOT_EQUAL <>
GREATER_OR_EQUAL >=
GREATER >
NO_OP 排除所有Hbase过滤器的专用过滤器（指定比较机制）：
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
RegexStringComparator 提供一个正则的比较器，仅支持 EQUAL 和非EQUAL
SubstringComparator 判断提供的子串是否出现在value中。Ⅰ、比较过滤器
①、rowKey过滤器RowFilter
通过RowFilter过滤比rowKey 0003小的所有值出来
/**
* hbase行键过滤器RowFilter
*/
public void rowKeyFilter() throws IOException {
//获取连接
Configuration conf =new Configuration();
conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
Connection connection = ConnectionFactory.createConnection(conf);
Table myuser = connection.getTable(TableName.valueOf("myuser"));
Scan scan = new Scan();
RowFilter rowFilter = new RowFilter(CompareFilter.CompareOp.LESS_OR_EQUAL, new BinaryComparator(Bytes.toBytes("0003")));
scan.setFilter(rowFilter);
ResultScanner resultScanner = myuser.getScanner(scan);
for (Result result : resultScanner) {
//获取rowkey
System.out.println(Bytes.toString(result.getRow()));
//指定列族以及列打印列当中的数据出来
System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "id".getBytes())));
System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "age".getBytes())));
System.out.println(Bytes.toString(result.getValue("f1".getBytes(), "name".getBytes())));
}
myuser.close();
}②、列族过滤器FamilyFilter
查询比f2列族小的所有的列族内的数据
/**
* hbase列族过滤器FamilyFilter
*/
public void familyFilter() throws IOException {
//获取连接
Configuration conf =new Configuration();
conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
Connection connection = ConnectionFactory.createConnection(conf);
Table myuser = connection.getTable(TableName.valueOf("myuser"));
Scan scan = new Scan();
FamilyFilter familyFilter = new FamilyFilter(CompareFilter.CompareOp.LESS, new SubstringComparator("f2"));
scan.setFilter(familyFilter);
ResultScanner resultScanner = myuser.getScanner(scan);
for (Result result : resultScanner) {
//获取rowkey
System.out.println(Bytes.toString(result.getRow()));
//指定列族以及列打印列当中的数据出来
System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "id".getBytes())));
System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "age".getBytes())));
System.out.println(Bytes.toString(result.getValue("f1".getBytes(), "name".getBytes())));
}
myuser.close();
}③、列过滤器QualifierFilter
只查询name列的值
/**
* hbase列过滤器
*/
public void qualifierFilter() throws IOException {
//获取连接
Configuration conf =new Configuration();
conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
Connection connection = ConnectionFactory.createConnection(conf);
Table myuser = connection.getTable(TableName.valueOf("myuser"));
Scan scan = new Scan();
QualifierFilter qualifierFilter = new QualifierFilter(CompareFilter.CompareOp.EQUAL, new SubstringComparator("name"));
scan.setFilter(qualifierFilter);
ResultScanner resultScanner = myuser.getScanner(scan);
for (Result result : resultScanner) {
//获取rowkey
System.out.println(Bytes.toString(result.getRow()));
//指定列族以及列打印列当中的数据出来
// System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "id".getBytes())));
System.out.println(Bytes.toString(result.getValue("f1".getBytes(), "name".getBytes())));
}
myuser.close();
}④列值过滤器ValueFilter
查询所有列当中包含8的数据
/**
* hbase值过滤器
* 查询包含8的列值
*/
public void valueFilter() throws IOException {
//获取连接
Configuration conf =new Configuration();
conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
Connection connection = ConnectionFactory.createConnection(conf);
Table myuser = connection.getTable(TableName.valueOf("myuser"));
Scan scan = new Scan();
ValueFilter valueFilter = new ValueFilter(CompareFilter.CompareOp.EQUAL, new SubstringComparator("8"));
scan.setFilter(valueFilter);
ResultScanner resultScanner = myuser.getScanner(scan);
for (Result result : resultScanner) {
//获取rowkey
System.out.println(Bytes.toString(result.getRow()));
//指定列族以及列打印列当中的数据出来
// System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "id".getBytes())));
System.out.println(Bytes.toString(result.getValue("f2".getBytes(), "phone".getBytes())));
}
myuser.close();
}Ⅱ、专用过滤器
①、单列值过滤器 SingleColumnValueFilter
SingleColumnValueFilter会返回满足条件的整列值的所有字段
/**
* 单列值过滤器，返回满足条件的整行数据
*/
public void singleColumnFilter() throws IOException {
//获取连接
Configuration conf =new Configuration();
conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
Connection connection = ConnectionFactory.createConnection(conf);
Table myuser = connection.getTable(TableName.valueOf("myuser"));
Scan scan = new Scan();
SingleColumnValueFilter singleColumnValueFilter = new SingleColumnValueFilter("f1".getBytes(), "name".getBytes(), CompareFilter.CompareOp.EQUAL, "刘备".getBytes());
scan.setFilter(singleColumnValueFilter);
ResultScanner resultScanner = myuser.getScanner(scan);
for (Result result : resultScanner) {
//获取rowkey
System.out.println(Bytes.toString(result.getRow()));
//指定列族以及列打印列当中的数据出来
System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "id".getBytes())));
System.out.println(Bytes.toString(result.getValue("f1".getBytes(), "name".getBytes())));
System.out.println(Bytes.toString(result.getValue("f2".getBytes(), "phone".getBytes())));
}
myuser.close();
}②、列值排除过滤器SingleColumnValueExcludeFilter
与SingleColumnValueFilter相反，会排除掉指定的列，其他的列全部返回
③、rowkey前缀过滤器PrefixFilter
查询以00开头的所有前缀的rowkey
/**
* 行键前缀过滤器
*/
public void preFilter() throws IOException {
//获取连接
Configuration conf =new Configuration();
conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
Connection connection = ConnectionFactory.createConnection(conf);
Table myuser = connection.getTable(TableName.valueOf("myuser"));
Scan scan = new Scan();
PrefixFilter prefixFilter = new PrefixFilter("00".getBytes());
scan.setFilter(prefixFilter);
ResultScanner resultScanner = myuser.getScanner(scan);
for (Result result : resultScanner) {
//获取rowkey
System.out.println(Bytes.toString(result.getRow()));
//指定列族以及列打印列当中的数据出来
System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "id".getBytes())));
System.out.println(Bytes.toString(result.getValue("f1".getBytes(), "name".getBytes())));
System.out.println(Bytes.toString(result.getValue("f2".getBytes(), "phone".getBytes())));
}
myuser.close();
}④、分页过滤器PageFilter
通过pageFilter实现分页过滤器
public void pageFilter2() throws IOException {
//获取连接
Configuration conf =new Configuration();
conf.set("hbase.zookeeper.quorum", "node01:2181,node02:2181,node03:2181");
Connection connection = ConnectionFactory.createConnection(conf);
Table myuser = connection.getTable(TableName.valueOf("myuser"));
int pageNum = 3;
int pageSize = 2;
Scan scan = new Scan();
if (pageNum == 1) {
PageFilter filter = new PageFilter(pageSize);
scan.setStartRow(Bytes.toBytes(""));
scan.setFilter(filter);
scan.setMaxResultSize(pageSize);
ResultScanner scanner = myuser.getScanner(scan);
for (Result result : scanner) {
//获取rowkey
System.out.println(Bytes.toString(result.getRow()));
//指定列族以及列打印列当中的数据出来
// System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "id".getBytes())));
System.out.println(Bytes.toString(result.getValue("f1".getBytes(), "name".getBytes())));
//System.out.println(Bytes.toString(result.getValue("f2".getBytes(), "phone".getBytes())));
}
}else{
String startRowKey ="";
PageFilter filter = new PageFilter((pageNum - 1) * pageSize + 1 );
scan.setStartRow(startRowKey.getBytes());
scan.setMaxResultSize((pageNum - 1) * pageSize + 1);
scan.setFilter(filter);
ResultScanner scanner = myuser.getScanner(scan);
for (Result result : scanner) {
byte[] row = result.getRow();
startRowKey = new String(row);
}
Scan scan2 = new Scan();
scan2.setStartRow(startRowKey.getBytes());
scan2.setMaxResultSize(Long.valueOf(pageSize));
PageFilter filter2 = new PageFilter(pageSize);
scan2.setFilter(filter2);
ResultScanner scanner1 = myuser.getScanner(scan2);
for (Result result : scanner1) {
byte[] row = result.getRow();
System.out.println(new String(row));
}
}
myuser.close();
}多过滤器综合查询FilterList
需求：使用SingleColumnValueFilter查询f1列族，name为刘备的数据，并且同时满足rowkey的前缀以00开头的数据（PrefixFilter）
/**
* 多过滤器组合使用
*/
public void manyFilter() throws IOException {
//获取连接
Configuration conf =new Configuration();
conf.set("hbase.zookeeper.quorum", "node01:2181,node02:2181,node03:2181");
Connection connection = ConnectionFactory.createConnection(conf);
Table myuser = connection.getTable(TableName.valueOf("myuser"));
Scan scan = new Scan();
FilterList filterList = new FilterList();
SingleColumnValueFilter singleColumnValueFilter = new SingleColumnValueFilter("f1".getBytes(), "name".getBytes(), CompareFilter.CompareOp.EQUAL, "刘备".getBytes());
PrefixFilter prefixFilter = new PrefixFilter("00".getBytes());
filterList.addFilter(singleColumnValueFilter);
filterList.addFilter(prefixFilter);
scan.setFilter(filterList);
ResultScanner scanner = myuser.getScanner(scan);
for (Result result : scanner) {
//获取rowkey
System.out.println(Bytes.toString(result.getRow()));
//指定列族以及列打印列当中的数据出来
// System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "id".getBytes())));
System.out.println(Bytes.toString(result.getValue("f1".getBytes(), "name".getBytes())));
//System.out.println(Bytes.toString(result.getValue("f2".getBytes(), "phone".getBytes())));
}
myuser.close();
}
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