HBase is a distributed, scalable, big data store that is built on top of HDFS. It is a column-oriented NoSQL database that provides fast lookups and updates for large tables. Key features include scalability, automatic failover, consistent reads/writes, sharding of tables, and Java and REST APIs for client access. HBase is not a replacement for an RDBMS as it does not support SQL, joins, or relations between tables.

1. HBASE INTRODUCTION &
DEVELOPMENT
The term planet-size web application comes to mind, and in this case it is fitting

2. WHAT IS IT?
• It is the Hadoop database,
• Sclable
• Distributed
• BigDatastore
• Column Oriented
HBASE
HDFS
Reader
Writer

3. FEATURES OF HBASE
• Scalable.
• Automatic failover
• Consistent reads and writes.
• Sharding of tables
• Failover support
• Classes for backing Hadoop map reduce
jobs
• Java API for client access
• Thrift gateway and a REST Web

4. WHAT IT IS NOT
•No-Sql
•No relation
•No joins
•Not a replacement of RDBMS

5. • NoSQL
• HBase is a type of "NoSQL" database. "NoSQL" is a general term meaning that the
database isn't an RDBMS which supports SQL as its primary access language.
• When we should think of using it
• HBase isn't suitable for every problem. We should have lot of data, if data is less
RDBMS is better.
• Difference Between HDFS and HBase
• HDFS is a distributed file system that is well suited for the storage of large files. It's
documentation states that it is not, however, a general purpose file system, and does not
provide fast individual record lookups in files. HBase, on the other hand, is built on top of
HDFS and provides fast record lookups (and updates) for large tables.

6. THINK ON
THIS
• Facebook, for example, is adding more than 15 TB, and processing daily
• Google adding Peta-Bytes of data and processing.
• Companies storing Logs, temperature details, and many other prospective
to store and process, which come in Peta-byte for which conventional
technologies will days to read the data forget about processing it.

7. WHAT IS COLUMNS ORIENTED
MEANS
• Grouped by columns,
• The reason to store values on a per-column basis
instead is based on the assumption
• that, for specific queries, not all of the values are
needed.
• Reduced I/O

8. COMPONENTS

9. HMASTER
• Master server is responsible for
monitoring all RegionServer instances in
the cluster, and is the interface for all
metadata changes, it runs on the server
which hosts namenode.
• Master controls critical functions such as
RegionServer failover and completing
region splits. So while the cluster can still
run for a time without the Master, the
Master should be restarted as soon as

10. ZOOKEEP
ER
• Zookeeper is an open source software
providing a highly reliable, distributed
coordination service
• Entry point for an HBase system
• It includes tracking of region servers,
where the root region is hosted

11. API
• Interface to HBase
• Using these we can we can access HBase and perform
read/write and other operation on HBase.
• REST, Thrift, and Avro
• Thrift API framework, for scalable cross-language
services development, combines a software stack with a
code generation engine to build services that work
efficiently and seamlessly between C++, Java, Python,
PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa, JavaScript,
Node.js, Smalltalk, OCaml and Delphi and other
languages.

12. • lib
• commons-configuration-1.8.jar
• commons-lang-2.6.jar
• commons-logging-1.1.1.jar
• hadoop-core-1.0.0.jar
• hbase-0.92.1.jar
• log4j-1.2.16.jar
• slf4j-api-1.5.8.jar
• slf4j-log4j12-1.5.8.jar
• zookeeper-3.4.3.jar

13. • import org.apache.hadoop.conf.Configuration;
• import org.apache.hadoop.hbase.HBaseConfiguration;
• import org.apache.hadoop.hbase.HColumnDescriptor;
• import org.apache.hadoop.hbase.HTableDescriptor;
• import org.apache.hadoop.hbase.KeyValue;
• import org.apache.hadoop.hbase.MasterNotRunningException;
• import org.apache.hadoop.hbase.ZooKeeperConnectionException;
• import org.apache.hadoop.hbase.client.Delete;
• import org.apache.hadoop.hbase.client.Get;
• import org.apache.hadoop.hbase.client.HBaseAdmin;
• import org.apache.hadoop.hbase.client.HTable;
• import org.apache.hadoop.hbase.client.Result;
• import org.apache.hadoop.hbase.client.ResultScanner;
• import org.apache.hadoop.hbase.client.Scan;
• import org.apache.hadoop.hbase.client.Put;
• import org.apache.hadoop.hbase.util.Bytes;

14. • Configuration hConf = HBaseConfiguration.create(conf);
hConf.set(Constants.HBASE_CONFIGURATION_ZOOKEEPER_QUO
RUM, hbaseZookeeperQuorum);
hConf.set(Constants.HBASE_CONFIGURATION_ZOOKEEPER_CLIE
NTPORT, hbaseZookeeperClientPort); HTable hTable = new
HTable(hConf, tableName);

15. • public class HBaseTest {
• private static Configuration conf = null;
• /**
• * Initialization
• */
• static {
• conf = HBaseConfiguration.create();
• }
• }

16. • /** Create a table
• */
• public static void creatTable(String tableName, String[] familys)
• throws Exception { HBaseAdmin admin = new
HBaseAdmin(conf);
• if (admin.tableExists(tableName)) { System.out.println("table
already exists!");
• } else { HTableDescriptor tableDesc = new
HTableDescriptor(tableName);
• for (int i = 0; i < familys.length; i++) {
• tableDesc.addFamily(new
HColumnDescriptor(familys[i]));
• }admin.createTable(tableDesc);
• System.out.println("create table " + tableName + " ok.");
• }

17. • /** * Delete a table
• */
• public static void deleteTable(String tableName) throws Exception {
• try {HBaseAdmin admin = new HBaseAdmin(conf);
• admin.disableTable(tableName);
• admin.deleteTable(tableName);
• System.out.println("delete table " + tableName + " ok.");
• } catch (MasterNotRunningException e) {
• e.printStackTrace();
• } catch (ZooKeeperConnectionException e) {
• e.printStackTrace();
• }
• }

18. • /**
• * Put (or insert) a row
• */
• public static void addRecord(String tableName, String rowKey,
String family, String qualifier, String value) throws Exception {
• try {HTable table = new HTable(conf, tableName);
• Put put = new Put(Bytes.toBytes(rowKey));
• put.add(Bytes.toBytes(family), Bytes.toBytes(qualifier),
Bytes
• .toBytes(value));
• table.put(put);
• System.out.println("insert recored " + rowKey + " to
table "
• + tableName + " ok.");
• } catch (IOException e) {e.printStackTrace();

19. • /**
• * Delete a row
• */
• public static void delRecord(String tableName, String rowKey)
• throws IOException {HTable table = new HTable(conf,
tableName);
• List<Delete> list = new ArrayList<Delete>();
• Delete del = new Delete(rowKey.getBytes());
• list.add(del);
• table.delete(list);
• System.out.println("del recored " + rowKey + " ok.");
• }

20. • /**Get a row
• */
• public static void getOneRecord (String tableName, String rowKey)
throws IOException{
• HTable table = new HTable(conf, tableName);
• Get get = new Get(rowKey.getBytes());
• Result rs = table.get(get);
• for(KeyValue kv : rs.raw()){
• System.out.print(new String(kv.getRow()) + " " );
• System.out.print(new String(kv.getFamily()) + ":" );
• System.out.print(new String(kv.getQualifier()) + " " );
• System.out.print(kv.getTimestamp() + " " );
• System.out.println(new String(kv.getValue()));
• }
• }

21. • /** Scan (or list) a table */
• public static void getAllRecord (String tableName) {
• try{
• HTable table = new HTable(conf, tableName);
• Scan s = new Scan();
• ResultScanner ss = table.getScanner(s);
• for(Result r:ss){
• for(KeyValue kv : r.raw()){
• System.out.print(new String(kv.getRow()) + " ");
• System.out.print(new String(kv.getFamily()) + ":"); System.out.print(new
String(kv.getQualifier()) + " ");
• System.out.print(kv.getTimestamp() + " "); System.out.println(new
String(kv.getValue())); } }
• } catch (IOException e){
• e.printStackTrace();
• }
• }

22. • public static void main(String[] agrs) {
• try {
• String tablename = "scores";
• String[] familys = { "grade", "course" };
• HBaseTest.creatTable(tablename, familys);
• // add record zkb
• HBaseTest.addRecord(tablename, "zkb", "grade", "", "5");
• HBaseTest.addRecord(tablename, "zkb", "course", "", "90");
• HBaseTest.addRecord(tablename, "zkb", "course", "math", "97");
• HBaseTest.addRecord(tablename, "zkb", "course", "art", "87");
• // add record baoniu
• HBaseTest.addRecord(tablename, "baoniu", "grade", "", "4");
• HBaseTest.addRecord(tablename, "baoniu", "course", "math", "89");
•

23. • System.out.println("===========get one record========");
• HBaseTest.getOneRecord(tablename, "zkb");
• System.out.println("===========show all record========");
• HBaseTest.getAllRecord(tablename);
• System.out.println("===========del one record========");
• HBaseTest.delRecord(tablename, "baoniu");
• HBaseTest.getAllRecord(tablename);
• System.out.println("===========show all record========");
• HBaseTest.getAllRecord(tablename);
• } catch (Exception e) {
• e.printStackTrace();
• }
• }}

24. Gmail dwivedishashwat@gmail.com
Twitter shashwat_2010
Facebook shriparv@gmail.com
Skype shriparv