RowFilter用于过滤row key
Operator Description
LESS 小于
LESS_OR_EQUAL 小于等于
[EQUAL 等于
NOT_EQUAL 不等于
GREATER_OR_EQUAL 大于等于
GREATER 大于
NO_OP 排除所有
Comparator Description
BinaryComparator 使用Bytes.compareTo()比较
BinaryPrefixComparator 和BinaryComparator差不多,从前面开始比较
NullComparator Does not compare against an actual value but whether a given one is null, or not  null.
BitComparator Performs a bitwise comparison, providing a BitwiseOp class with OR, and XORoperators.
RegexStringComparator 正则表达式
SubstringComparator 把数据当成字符串,用contains()来判断
  1. import java.io.IOException;
  2. import org.apache.hadoop.conf.Configuration;
  3. import org.apache.hadoop.hbase.HBaseConfiguration;
  4. import org.apache.hadoop.hbase.HColumnDescriptor;
  5. import org.apache.hadoop.hbase.HTableDescriptor;
  6. import org.apache.hadoop.hbase.client.HBaseAdmin;
  7. import org.apache.hadoop.hbase.client.HTable;
  8. import org.apache.hadoop.hbase.client.Put;
  9. import org.apache.hadoop.hbase.client.Result;
  10. import org.apache.hadoop.hbase.client.ResultScanner;
  11. import org.apache.hadoop.hbase.client.Scan;
  12. import org.apache.hadoop.hbase.filter.BinaryComparator;
  13. import org.apache.hadoop.hbase.filter.BinaryPrefixComparator;
  14. import org.apache.hadoop.hbase.filter.CompareFilter;
  15. import org.apache.hadoop.hbase.filter.Filter;
  16. import org.apache.hadoop.hbase.filter.RegexStringComparator;
  17. import org.apache.hadoop.hbase.filter.RowFilter;
  18. import org.apache.hadoop.hbase.filter.SubstringComparator;
  19. public class TestHbaseRowFilter {
  20. String tableName = "test_row_filter";
  21. Configuration config = HBaseConfiguration.create();
  22. /**
  23. * 部分代码来自hbase权威指南
  24. * @throws IOException
  25. */
  26. public void testRowFilter() throws IOException {
  27. HTable table = new HTable(config, tableName);
  28. Scan scan = new Scan();
  29. System.out.println("小于等于row010的行");
  30. Filter filter1 = new RowFilter(CompareFilter.CompareOp.LESS_OR_EQUAL,
  31. new BinaryComparator("row010".getBytes()));
  32. scan.setFilter(filter1);
  33. ResultScanner scanner1 = table.getScanner(scan);
  34. for (Result res : scanner1) {
  35. System.out.println(res);
  36. }
  37. scanner1.close();
  38. System.out.println("正则获取结尾为5的行");
  39. Filter filter2 = new RowFilter(CompareFilter.CompareOp.EQUAL,
  40. new RegexStringComparator(".*5[        DISCUZ_CODE_0        ]quot;));
  41. scan.setFilter(filter2);
  42. ResultScanner scanner2 = table.getScanner(scan);
  43. for (Result res : scanner2) {
  44. System.out.println(res);
  45. }
  46. scanner2.close();
  47. System.out.println("包含有5的行");
  48. Filter filter3 = new RowFilter(CompareFilter.CompareOp.EQUAL,
  49. new SubstringComparator("5"));
  50. scan.setFilter(filter3);
  51. ResultScanner scanner3 = table.getScanner(scan);
  52. for (Result res : scanner3) {
  53. System.out.println(res);
  54. }
  55. scanner3.close();
  56. System.out.println("开头是row01的");
  57. Filter filter4 = new RowFilter(CompareFilter.CompareOp.EQUAL,
  58. new BinaryPrefixComparator("row01".getBytes()));
  59. scan.setFilter(filter4);
  60. ResultScanner scanner4 = table.getScanner(scan);
  61. for (Result res : scanner4) {
  62. System.out.println(res);
  63. }
  64. scanner3.close();
  65. }
  66. /**
  67. * 初始化数据
  68. */
  69. public void init() {
  70. // 创建表和初始化数据
  71. try {
  72. HBaseAdmin admin = new HBaseAdmin(config);
  73. if (!admin.tableExists(tableName)) {
  74. HTableDescriptor htd = new HTableDescriptor(tableName);
  75. HColumnDescriptor hcd1 = new HColumnDescriptor("data");
  76. htd.addFamily(hcd1);
  77. HColumnDescriptor hcd2 = new HColumnDescriptor("url");
  78. htd.addFamily(hcd2);
  79. admin.createTable(htd);
  80. }
  81. HTable table = new HTable(config, tableName);
  82. table.setAutoFlush(false);
  83. int count = 50;
  84. for (int i = 1; i <= count; ++i) {
  85. Put p = new Put(String.format("row%03d", i).getBytes());
  86. p.add("data".getBytes(), String.format("col%01d", i % 10)
  87. .getBytes(), String.format("data%03d", i).getBytes());
  88. p.add("url".getBytes(), String.format("col%01d", i % 10)
  89. .getBytes(), String.format("url%03d", i).getBytes());
  90. table.put(p);
  91. }
  92. table.close();
  93. } catch (IOException e) {
  94. e.printStackTrace();
  95. }
  96. }
  97. /**
  98. * @param args
  99. * @throws IOException
  100. */
  101. public static void main(String[] args) throws IOException {
  102. TestHbaseRowFilter test = new TestHbaseRowFilter();
  103. test.init();
  104. test.testRowFilter();
  105. }
  106. }

复制代码

输出结果
  1. 小于等于row010的行
  2. keyvalues={row001/data:col1/1364133382268/Put/vlen=7, row001/url:col1/1364133382268/Put/vlen=6}
  3. keyvalues={row002/data:col2/1364133382268/Put/vlen=7, row002/url:col2/1364133382268/Put/vlen=6}
  4. keyvalues={row003/data:col3/1364133382268/Put/vlen=7, row003/url:col3/1364133382268/Put/vlen=6}
  5. keyvalues={row004/data:col4/1364133382268/Put/vlen=7, row004/url:col4/1364133382268/Put/vlen=6}
  6. keyvalues={row005/data:col5/1364133382268/Put/vlen=7, row005/url:col5/1364133382268/Put/vlen=6}
  7. keyvalues={row006/data:col6/1364133382268/Put/vlen=7, row006/url:col6/1364133382268/Put/vlen=6}
  8. keyvalues={row007/data:col7/1364133382268/Put/vlen=7, row007/url:col7/1364133382268/Put/vlen=6}
  9. keyvalues={row008/data:col8/1364133382268/Put/vlen=7, row008/url:col8/1364133382268/Put/vlen=6}
  10. keyvalues={row009/data:col9/1364133382268/Put/vlen=7, row009/url:col9/1364133382268/Put/vlen=6}
  11. keyvalues={row010/data:col0/1364133382268/Put/vlen=7, row010/url:col0/1364133382268/Put/vlen=6}
  12. 正则获取结尾为5的行
  13. keyvalues={row005/data:col5/1364133382268/Put/vlen=7, row005/url:col5/1364133382268/Put/vlen=6}
  14. keyvalues={row015/data:col5/1364133382268/Put/vlen=7, row015/url:col5/1364133382268/Put/vlen=6}
  15. keyvalues={row025/data:col5/1364133382268/Put/vlen=7, row025/url:col5/1364133382268/Put/vlen=6}
  16. keyvalues={row035/data:col5/1364133382268/Put/vlen=7, row035/url:col5/1364133382268/Put/vlen=6}
  17. keyvalues={row045/data:col5/1364133382268/Put/vlen=7, row045/url:col5/1364133382268/Put/vlen=6}
  18. 包行有5的行
  19. keyvalues={row005/data:col5/1364133382268/Put/vlen=7, row005/url:col5/1364133382268/Put/vlen=6}
  20. keyvalues={row015/data:col5/1364133382268/Put/vlen=7, row015/url:col5/1364133382268/Put/vlen=6}
  21. keyvalues={row025/data:col5/1364133382268/Put/vlen=7, row025/url:col5/1364133382268/Put/vlen=6}
  22. keyvalues={row035/data:col5/1364133382268/Put/vlen=7, row035/url:col5/1364133382268/Put/vlen=6}
  23. keyvalues={row045/data:col5/1364133382268/Put/vlen=7, row045/url:col5/1364133382268/Put/vlen=6}
  24. keyvalues={row050/data:col0/1364133382268/Put/vlen=7, row050/url:col0/1364133382268/Put/vlen=6}
  25. 开头是row01的
  26. keyvalues={row010/data:col0/1364133382268/Put/vlen=7, row010/url:col0/1364133382268/Put/vlen=6}
  27. keyvalues={row011/data:col1/1364133382268/Put/vlen=7, row011/url:col1/1364133382268/Put/vlen=6}
  28. keyvalues={row012/data:col2/1364133382268/Put/vlen=7, row012/url:col2/1364133382268/Put/vlen=6}
  29. keyvalues={row013/data:col3/1364133382268/Put/vlen=7, row013/url:col3/1364133382268/Put/vlen=6}
  30. keyvalues={row014/data:col4/1364133382268/Put/vlen=7, row014/url:col4/1364133382268/Put/vlen=6}
  31. keyvalues={row015/data:col5/1364133382268/Put/vlen=7, row015/url:col5/1364133382268/Put/vlen=6}
  32. keyvalues={row016/data:col6/1364133382268/Put/vlen=7, row016/url:col6/1364133382268/Put/vlen=6}
  33. keyvalues={row017/data:col7/1364133382268/Put/vlen=7, row017/url:col7/1364133382268/Put/vlen=6}
  34. keyvalues={row018/data:col8/1364133382268/Put/vlen=7, row018/url:col8/1364133382268/Put/vlen=6}
  35. keyvalues={row019/data:col9/1364133382268/Put/vlen=7, row019/url:col9/1364133382268/Put/vlen=6}

复制代码

 
 
 
RowFilter用于过滤row key
Operator Description
LESS 小于
LESS_OR_EQUAL 小于等于
[EQUAL 等于
NOT_EQUAL 不等于
GREATER_OR_EQUAL 大于等于
GREATER 大于
NO_OP 排除所有
Comparator Description
BinaryComparator 使用Bytes.compareTo()比较
BinaryPrefixComparator 和BinaryComparator差不多,从前面开始比较
NullComparator Does not compare against an actual value but whether a given one is null, or not  null.
BitComparator Performs a bitwise comparison, providing a BitwiseOp class with OR, and XORoperators.
RegexStringComparator 正则表达式
SubstringComparator 把数据当成字符串,用contains()来判断
  1. import java.io.IOException;
  2. import org.apache.hadoop.conf.Configuration;
  3. import org.apache.hadoop.hbase.HBaseConfiguration;
  4. import org.apache.hadoop.hbase.HColumnDescriptor;
  5. import org.apache.hadoop.hbase.HTableDescriptor;
  6. import org.apache.hadoop.hbase.client.HBaseAdmin;
  7. import org.apache.hadoop.hbase.client.HTable;
  8. import org.apache.hadoop.hbase.client.Put;
  9. import org.apache.hadoop.hbase.client.Result;
  10. import org.apache.hadoop.hbase.client.ResultScanner;
  11. import org.apache.hadoop.hbase.client.Scan;
  12. import org.apache.hadoop.hbase.filter.BinaryComparator;
  13. import org.apache.hadoop.hbase.filter.BinaryPrefixComparator;
  14. import org.apache.hadoop.hbase.filter.CompareFilter;
  15. import org.apache.hadoop.hbase.filter.Filter;
  16. import org.apache.hadoop.hbase.filter.RegexStringComparator;
  17. import org.apache.hadoop.hbase.filter.RowFilter;
  18. import org.apache.hadoop.hbase.filter.SubstringComparator;
  19. public class TestHbaseRowFilter {
  20. String tableName = "test_row_filter";
  21. Configuration config = HBaseConfiguration.create();
  22. /**
  23. * 部分代码来自hbase权威指南
  24. * @throws IOException
  25. */
  26. public void testRowFilter() throws IOException {
  27. HTable table = new HTable(config, tableName);
  28. Scan scan = new Scan();
  29. System.out.println("小于等于row010的行");
  30. Filter filter1 = new RowFilter(CompareFilter.CompareOp.LESS_OR_EQUAL,
  31. new BinaryComparator("row010".getBytes()));
  32. scan.setFilter(filter1);
  33. ResultScanner scanner1 = table.getScanner(scan);
  34. for (Result res : scanner1) {
  35. System.out.println(res);
  36. }
  37. scanner1.close();
  38. System.out.println("正则获取结尾为5的行");
  39. Filter filter2 = new RowFilter(CompareFilter.CompareOp.EQUAL,
  40. new RegexStringComparator(".*5[        DISCUZ_CODE_0        ]quot;));
  41. scan.setFilter(filter2);
  42. ResultScanner scanner2 = table.getScanner(scan);
  43. for (Result res : scanner2) {
  44. System.out.println(res);
  45. }
  46. scanner2.close();
  47. System.out.println("包含有5的行");
  48. Filter filter3 = new RowFilter(CompareFilter.CompareOp.EQUAL,
  49. new SubstringComparator("5"));
  50. scan.setFilter(filter3);
  51. ResultScanner scanner3 = table.getScanner(scan);
  52. for (Result res : scanner3) {
  53. System.out.println(res);
  54. }
  55. scanner3.close();
  56. System.out.println("开头是row01的");
  57. Filter filter4 = new RowFilter(CompareFilter.CompareOp.EQUAL,
  58. new BinaryPrefixComparator("row01".getBytes()));
  59. scan.setFilter(filter4);
  60. ResultScanner scanner4 = table.getScanner(scan);
  61. for (Result res : scanner4) {
  62. System.out.println(res);
  63. }
  64. scanner3.close();
  65. }
  66. /**
  67. * 初始化数据
  68. */
  69. public void init() {
  70. // 创建表和初始化数据
  71. try {
  72. HBaseAdmin admin = new HBaseAdmin(config);
  73. if (!admin.tableExists(tableName)) {
  74. HTableDescriptor htd = new HTableDescriptor(tableName);
  75. HColumnDescriptor hcd1 = new HColumnDescriptor("data");
  76. htd.addFamily(hcd1);
  77. HColumnDescriptor hcd2 = new HColumnDescriptor("url");
  78. htd.addFamily(hcd2);
  79. admin.createTable(htd);
  80. }
  81. HTable table = new HTable(config, tableName);
  82. table.setAutoFlush(false);
  83. int count = 50;
  84. for (int i = 1; i <= count; ++i) {
  85. Put p = new Put(String.format("row%03d", i).getBytes());
  86. p.add("data".getBytes(), String.format("col%01d", i % 10)
  87. .getBytes(), String.format("data%03d", i).getBytes());
  88. p.add("url".getBytes(), String.format("col%01d", i % 10)
  89. .getBytes(), String.format("url%03d", i).getBytes());
  90. table.put(p);
  91. }
  92. table.close();
  93. } catch (IOException e) {
  94. e.printStackTrace();
  95. }
  96. }
  97. /**
  98. * @param args
  99. * @throws IOException
  100. */
  101. public static void main(String[] args) throws IOException {
  102. TestHbaseRowFilter test = new TestHbaseRowFilter();
  103. test.init();
  104. test.testRowFilter();
  105. }
  106. }

复制代码

输出结果
  1. 小于等于row010的行
  2. keyvalues={row001/data:col1/1364133382268/Put/vlen=7, row001/url:col1/1364133382268/Put/vlen=6}
  3. keyvalues={row002/data:col2/1364133382268/Put/vlen=7, row002/url:col2/1364133382268/Put/vlen=6}
  4. keyvalues={row003/data:col3/1364133382268/Put/vlen=7, row003/url:col3/1364133382268/Put/vlen=6}
  5. keyvalues={row004/data:col4/1364133382268/Put/vlen=7, row004/url:col4/1364133382268/Put/vlen=6}
  6. keyvalues={row005/data:col5/1364133382268/Put/vlen=7, row005/url:col5/1364133382268/Put/vlen=6}
  7. keyvalues={row006/data:col6/1364133382268/Put/vlen=7, row006/url:col6/1364133382268/Put/vlen=6}
  8. keyvalues={row007/data:col7/1364133382268/Put/vlen=7, row007/url:col7/1364133382268/Put/vlen=6}
  9. keyvalues={row008/data:col8/1364133382268/Put/vlen=7, row008/url:col8/1364133382268/Put/vlen=6}
  10. keyvalues={row009/data:col9/1364133382268/Put/vlen=7, row009/url:col9/1364133382268/Put/vlen=6}
  11. keyvalues={row010/data:col0/1364133382268/Put/vlen=7, row010/url:col0/1364133382268/Put/vlen=6}
  12. 正则获取结尾为5的行
  13. keyvalues={row005/data:col5/1364133382268/Put/vlen=7, row005/url:col5/1364133382268/Put/vlen=6}
  14. keyvalues={row015/data:col5/1364133382268/Put/vlen=7, row015/url:col5/1364133382268/Put/vlen=6}
  15. keyvalues={row025/data:col5/1364133382268/Put/vlen=7, row025/url:col5/1364133382268/Put/vlen=6}
  16. keyvalues={row035/data:col5/1364133382268/Put/vlen=7, row035/url:col5/1364133382268/Put/vlen=6}
  17. keyvalues={row045/data:col5/1364133382268/Put/vlen=7, row045/url:col5/1364133382268/Put/vlen=6}
  18. 包行有5的行
  19. keyvalues={row005/data:col5/1364133382268/Put/vlen=7, row005/url:col5/1364133382268/Put/vlen=6}
  20. keyvalues={row015/data:col5/1364133382268/Put/vlen=7, row015/url:col5/1364133382268/Put/vlen=6}
  21. keyvalues={row025/data:col5/1364133382268/Put/vlen=7, row025/url:col5/1364133382268/Put/vlen=6}
  22. keyvalues={row035/data:col5/1364133382268/Put/vlen=7, row035/url:col5/1364133382268/Put/vlen=6}
  23. keyvalues={row045/data:col5/1364133382268/Put/vlen=7, row045/url:col5/1364133382268/Put/vlen=6}
  24. keyvalues={row050/data:col0/1364133382268/Put/vlen=7, row050/url:col0/1364133382268/Put/vlen=6}
  25. 开头是row01的
  26. keyvalues={row010/data:col0/1364133382268/Put/vlen=7, row010/url:col0/1364133382268/Put/vlen=6}
  27. keyvalues={row011/data:col1/1364133382268/Put/vlen=7, row011/url:col1/1364133382268/Put/vlen=6}
  28. keyvalues={row012/data:col2/1364133382268/Put/vlen=7, row012/url:col2/1364133382268/Put/vlen=6}
  29. keyvalues={row013/data:col3/1364133382268/Put/vlen=7, row013/url:col3/1364133382268/Put/vlen=6}
  30. keyvalues={row014/data:col4/1364133382268/Put/vlen=7, row014/url:col4/1364133382268/Put/vlen=6}
  31. keyvalues={row015/data:col5/1364133382268/Put/vlen=7, row015/url:col5/1364133382268/Put/vlen=6}
  32. keyvalues={row016/data:col6/1364133382268/Put/vlen=7, row016/url:col6/1364133382268/Put/vlen=6}
  33. keyvalues={row017/data:col7/1364133382268/Put/vlen=7, row017/url:col7/1364133382268/Put/vlen=6}
  34. keyvalues={row018/data:col8/1364133382268/Put/vlen=7, row018/url:col8/1364133382268/Put/vlen=6}
  35. keyvalues={row019/data:col9/1364133382268/Put/vlen=7, row019/url:col9/1364133382268/Put/vlen=6}

复制代码

RowFilter用于过滤row key
Operator Description
LESS 小于
LESS_OR_EQUAL 小于等于
[EQUAL 等于
NOT_EQUAL 不等于
GREATER_OR_EQUAL 大于等于
GREATER 大于
NO_OP 排除所有
Comparator Description
BinaryComparator 使用Bytes.compareTo()比较
BinaryPrefixComparator 和BinaryComparator差不多,从前面开始比较
NullComparator Does not compare against an actual value but whether a given one is null, or not  null.
BitComparator Performs a bitwise comparison, providing a BitwiseOp class with OR, and XORoperators.
RegexStringComparator 正则表达式
SubstringComparator 把数据当成字符串,用contains()来判断
  1. import java.io.IOException;
  2. import org.apache.hadoop.conf.Configuration;
  3. import org.apache.hadoop.hbase.HBaseConfiguration;
  4. import org.apache.hadoop.hbase.HColumnDescriptor;
  5. import org.apache.hadoop.hbase.HTableDescriptor;
  6. import org.apache.hadoop.hbase.client.HBaseAdmin;
  7. import org.apache.hadoop.hbase.client.HTable;
  8. import org.apache.hadoop.hbase.client.Put;
  9. import org.apache.hadoop.hbase.client.Result;
  10. import org.apache.hadoop.hbase.client.ResultScanner;
  11. import org.apache.hadoop.hbase.client.Scan;
  12. import org.apache.hadoop.hbase.filter.BinaryComparator;
  13. import org.apache.hadoop.hbase.filter.BinaryPrefixComparator;
  14. import org.apache.hadoop.hbase.filter.CompareFilter;
  15. import org.apache.hadoop.hbase.filter.Filter;
  16. import org.apache.hadoop.hbase.filter.RegexStringComparator;
  17. import org.apache.hadoop.hbase.filter.RowFilter;
  18. import org.apache.hadoop.hbase.filter.SubstringComparator;
  19. public class TestHbaseRowFilter {
  20. String tableName = "test_row_filter";
  21. Configuration config = HBaseConfiguration.create();
  22. /**
  23. * 部分代码来自hbase权威指南
  24. * @throws IOException
  25. */
  26. public void testRowFilter() throws IOException {
  27. HTable table = new HTable(config, tableName);
  28. Scan scan = new Scan();
  29. System.out.println("小于等于row010的行");
  30. Filter filter1 = new RowFilter(CompareFilter.CompareOp.LESS_OR_EQUAL,
  31. new BinaryComparator("row010".getBytes()));
  32. scan.setFilter(filter1);
  33. ResultScanner scanner1 = table.getScanner(scan);
  34. for (Result res : scanner1) {
  35. System.out.println(res);
  36. }
  37. scanner1.close();
  38. System.out.println("正则获取结尾为5的行");
  39. Filter filter2 = new RowFilter(CompareFilter.CompareOp.EQUAL,
  40. new RegexStringComparator(".*5[        DISCUZ_CODE_0        ]quot;));
  41. scan.setFilter(filter2);
  42. ResultScanner scanner2 = table.getScanner(scan);
  43. for (Result res : scanner2) {
  44. System.out.println(res);
  45. }
  46. scanner2.close();
  47. System.out.println("包含有5的行");
  48. Filter filter3 = new RowFilter(CompareFilter.CompareOp.EQUAL,
  49. new SubstringComparator("5"));
  50. scan.setFilter(filter3);
  51. ResultScanner scanner3 = table.getScanner(scan);
  52. for (Result res : scanner3) {
  53. System.out.println(res);
  54. }
  55. scanner3.close();
  56. System.out.println("开头是row01的");
  57. Filter filter4 = new RowFilter(CompareFilter.CompareOp.EQUAL,
  58. new BinaryPrefixComparator("row01".getBytes()));
  59. scan.setFilter(filter4);
  60. ResultScanner scanner4 = table.getScanner(scan);
  61. for (Result res : scanner4) {
  62. System.out.println(res);
  63. }
  64. scanner3.close();
  65. }
  66. /**
  67. * 初始化数据
  68. */
  69. public void init() {
  70. // 创建表和初始化数据
  71. try {
  72. HBaseAdmin admin = new HBaseAdmin(config);
  73. if (!admin.tableExists(tableName)) {
  74. HTableDescriptor htd = new HTableDescriptor(tableName);
  75. HColumnDescriptor hcd1 = new HColumnDescriptor("data");
  76. htd.addFamily(hcd1);
  77. HColumnDescriptor hcd2 = new HColumnDescriptor("url");
  78. htd.addFamily(hcd2);
  79. admin.createTable(htd);
  80. }
  81. HTable table = new HTable(config, tableName);
  82. table.setAutoFlush(false);
  83. int count = 50;
  84. for (int i = 1; i <= count; ++i) {
  85. Put p = new Put(String.format("row%03d", i).getBytes());
  86. p.add("data".getBytes(), String.format("col%01d", i % 10)
  87. .getBytes(), String.format("data%03d", i).getBytes());
  88. p.add("url".getBytes(), String.format("col%01d", i % 10)
  89. .getBytes(), String.format("url%03d", i).getBytes());
  90. table.put(p);
  91. }
  92. table.close();
  93. } catch (IOException e) {
  94. e.printStackTrace();
  95. }
  96. }
  97. /**
  98. * @param args
  99. * @throws IOException
  100. */
  101. public static void main(String[] args) throws IOException {
  102. TestHbaseRowFilter test = new TestHbaseRowFilter();
  103. test.init();
  104. test.testRowFilter();
  105. }
  106. }

复制代码

输出结果
  1. 小于等于row010的行
  2. keyvalues={row001/data:col1/1364133382268/Put/vlen=7, row001/url:col1/1364133382268/Put/vlen=6}
  3. keyvalues={row002/data:col2/1364133382268/Put/vlen=7, row002/url:col2/1364133382268/Put/vlen=6}
  4. keyvalues={row003/data:col3/1364133382268/Put/vlen=7, row003/url:col3/1364133382268/Put/vlen=6}
  5. keyvalues={row004/data:col4/1364133382268/Put/vlen=7, row004/url:col4/1364133382268/Put/vlen=6}
  6. keyvalues={row005/data:col5/1364133382268/Put/vlen=7, row005/url:col5/1364133382268/Put/vlen=6}
  7. keyvalues={row006/data:col6/1364133382268/Put/vlen=7, row006/url:col6/1364133382268/Put/vlen=6}
  8. keyvalues={row007/data:col7/1364133382268/Put/vlen=7, row007/url:col7/1364133382268/Put/vlen=6}
  9. keyvalues={row008/data:col8/1364133382268/Put/vlen=7, row008/url:col8/1364133382268/Put/vlen=6}
  10. keyvalues={row009/data:col9/1364133382268/Put/vlen=7, row009/url:col9/1364133382268/Put/vlen=6}
  11. keyvalues={row010/data:col0/1364133382268/Put/vlen=7, row010/url:col0/1364133382268/Put/vlen=6}
  12. 正则获取结尾为5的行
  13. keyvalues={row005/data:col5/1364133382268/Put/vlen=7, row005/url:col5/1364133382268/Put/vlen=6}
  14. keyvalues={row015/data:col5/1364133382268/Put/vlen=7, row015/url:col5/1364133382268/Put/vlen=6}
  15. keyvalues={row025/data:col5/1364133382268/Put/vlen=7, row025/url:col5/1364133382268/Put/vlen=6}
  16. keyvalues={row035/data:col5/1364133382268/Put/vlen=7, row035/url:col5/1364133382268/Put/vlen=6}
  17. keyvalues={row045/data:col5/1364133382268/Put/vlen=7, row045/url:col5/1364133382268/Put/vlen=6}
  18. 包行有5的行
  19. keyvalues={row005/data:col5/1364133382268/Put/vlen=7, row005/url:col5/1364133382268/Put/vlen=6}
  20. keyvalues={row015/data:col5/1364133382268/Put/vlen=7, row015/url:col5/1364133382268/Put/vlen=6}
  21. keyvalues={row025/data:col5/1364133382268/Put/vlen=7, row025/url:col5/1364133382268/Put/vlen=6}
  22. keyvalues={row035/data:col5/1364133382268/Put/vlen=7, row035/url:col5/1364133382268/Put/vlen=6}
  23. keyvalues={row045/data:col5/1364133382268/Put/vlen=7, row045/url:col5/1364133382268/Put/vlen=6}
  24. keyvalues={row050/data:col0/1364133382268/Put/vlen=7, row050/url:col0/1364133382268/Put/vlen=6}
  25. 开头是row01的
  26. keyvalues={row010/data:col0/1364133382268/Put/vlen=7, row010/url:col0/1364133382268/Put/vlen=6}
  27. keyvalues={row011/data:col1/1364133382268/Put/vlen=7, row011/url:col1/1364133382268/Put/vlen=6}
  28. keyvalues={row012/data:col2/1364133382268/Put/vlen=7, row012/url:col2/1364133382268/Put/vlen=6}
  29. keyvalues={row013/data:col3/1364133382268/Put/vlen=7, row013/url:col3/1364133382268/Put/vlen=6}
  30. keyvalues={row014/data:col4/1364133382268/Put/vlen=7, row014/url:col4/1364133382268/Put/vlen=6}
  31. keyvalues={row015/data:col5/1364133382268/Put/vlen=7, row015/url:col5/1364133382268/Put/vlen=6}
  32. keyvalues={row016/data:col6/1364133382268/Put/vlen=7, row016/url:col6/1364133382268/Put/vlen=6}
  33. keyvalues={row017/data:col7/1364133382268/Put/vlen=7, row017/url:col7/1364133382268/Put/vlen=6}
  34. keyvalues={row018/data:col8/1364133382268/Put/vlen=7, row018/url:col8/1364133382268/Put/vlen=6}
  35. keyvalues={row019/data:col9/1364133382268/Put/vlen=7, row019/url:col9/1364133382268/Put/vlen=6}

复制代码

hbase RowFilter如何根据rowkey查询以及实例实现代码 habase模糊查询【转】的更多相关文章

  1. Python 代码实现模糊查询

    Python 代码实现模糊查询 1.导语: 模糊匹配可以算是现代编辑器(如 Eclipse 等各种 IDE)的一个必备特性了,它所做的就是根据用户输入的部分内容,猜测用户想要的文件名,并提供一个推荐列 ...

  2. query_string查询支持全部的Apache Lucene查询语法 低频词划分依据 模糊查询 Disjunction Max

    3.3 基本查询3.3.1词条查询 词条查询是未经分析的,要跟索引文档中的词条完全匹配注意:在输入数据中,title字段含有Crime and Punishment,但我们使用小写开头的crime来搜 ...

  3. 10 行 Python 代码实现模糊查询/智能提示

    10 行 Python 代码实现模糊查询/智能提示   1.导语: 模糊匹配可以算是现代编辑器(如 Eclipse 等各种 IDE)的一个必备特性了,它所做的就是根据用户输入的部分内容,猜测用户想要的 ...

  4. ASP.NET MVC+EF框架+EasyUI实现权限管理系列(20)-多条件模糊查询和回收站还原的实现

    原文:ASP.NET MVC+EF框架+EasyUI实现权限管理系列(20)-多条件模糊查询和回收站还原的实现 ASP.NET MVC+EF框架+EasyUI实现权限管系列 (开篇)   (1):框架 ...

  5. stark组件的分页,模糊查询,批量删除

    1.分页组件高阶 2.整合展示数据showlist类 3.stark组件之分页 3.stark组件之search模糊查询 4.action批量处理数据 4.总结 1.分页组件高阶 1.分页的class ...

  6. 10 star组件之分页, search模糊查询, action批量处理

    1.分页组件高阶 1.分页的class形式(有bug,请看下面的) """ 自定义分页组件 """ class Pagination(obj ...

  7. ASP.NET操作ORACLE数据库之模糊查询

    ASP.NET操作ORACLE数据库之模糊查询 一.ASP.NET MVC利用OracleHelper辅助类操作ORACLE数据库 //连接Oracle数据库的连接字符串 string connect ...

  8. T-SQL---多值模糊查询的处理

    多值模糊查询的处理 所谓多值模糊查询,就是应用程序中传递过来多个参数,对这些参数做拆分,拆分之后,对拆分结果的key值分别做模糊查询处理 对于精确匹配时,不管是单个Key值还是多个Key值,都很容易处 ...

  9. JAVA 模糊查询方法

    当我们需要开发一个方法用来查询数据库的时候,往往会遇到这样一个问题:就是不知道用户到底会输入什么条件,那么怎么样处理sql语句才能让我们开发的方法不管接受到什么样的条件都可以正常工作呢?这时where ...

随机推荐

  1. Jacoco覆盖率工具使用

    Jacoco介绍 Jacoco是一个开源的覆盖率工具.Jacoco可以嵌入到Ant .Maven中,并提供了EclEmma Eclipse插件,也可以使用JavaAgent技术监控Java程序.很多第 ...

  2. 28种CSS3炫酷载入动画特效

    这是一组效果很炫酷的纯CSS3 Loading载入动画特效.这组loading动画共同拥有27种不同的效果.每一种loading动画都是通过CSS3的keyframes帧动画来完毕的,每个载入动画都构 ...

  3. JProfiler 解决 Java 服务器的性能跟踪

    作者:徐建祥(netpirate@gmail.com) 时间: 2006/01/05 来自:http://www.anymobile.org 1.摘要......................... ...

  4. PHP-中文在计算机中的存储

    经常我们打开外国网站的时候出现乱码,又或者打开很多非英语的外国网站的时候,显示的都是口口口口口的字符, WordPress程序是用的UTF-8,很多cms用的是GB2312. ● 为什么有这么多编码? ...

  5. http1.1 协议响应方面参数

    HTTP1.1   提供了一个必须的Host字段,而且建立好一次连接之后可以重复使用.提高用户的上网体验. 响应信息 HTTP/1.1 200 OK                           ...

  6. 用zd1211+Ubuntu 10.04实现的AP

    [日期:2010-06-24]   zd1211 在Ubuntu 10.04 LTS上的master mode 的问题解决之后,理论上就可以把zd1211 USB网卡用来做一个AP了,实际上还有几个问 ...

  7. Python websocket

    一.自己实现websocket 网上流传的都是Python2的websocket实现 # coding=utf8 # !/usr/bin/python import struct, socket im ...

  8. js常用点

    <span onClick="onDetail(this.id,'edit');"  style="cursor: hand;color:black;" ...

  9. Android HTTP通讯

    这里有一个非常棒的http通讯的总结,我看了以后茅塞顿开. 先贴代码: 01 public class Activity1 extends Activity { 02   03     private ...

  10. 通俗易懂,C#如何安全、高效地玩转任何种类的内存之Span的脾气秉性(二)。 异步委托 微信小程序支付证书及SSL证书使用 SqlServer无备份下误删数据恢复 把list集合的内容写入到Xml中,通过XmlDocument方式写入Xml文件中 通过XDocument方式把List写入Xml文件

    通俗易懂,C#如何安全.高效地玩转任何种类的内存之Span的脾气秉性(二).   前言 读完上篇<通俗易懂,C#如何安全.高效地玩转任何种类的内存之Span的本质(一).>,相信大家对sp ...