NoSQL Base

1. A Soft Introduction

2. What is Hbase
 Non-relational, distributed database
 Column‐Oriented
 Multi‐Dimensional
 High Availability
 High Performance
 open source

3. Implementation
 HBase modeled with an HBase master node
orchestrating a cluster of one or more regionserver
slaves.
 The HBase master is responsible for bootstrapping a
virgin install, for assigning regions to registered region
servers, and for recovering region server failures. The
master node is lightly loaded.

5. Installation
 Download a stable release from an Apache Download
Mirror and unpack it on your local filesystem.
 you first need to tell HBase where Java is located on
your system. i.e JAVA_HOME environment variable
 you can set the Java installation that HBase uses by
editing HBase’s conf/hbaseenv.sh, and specifying the
JAVA_HOME

6. Continue
 Add the HBase binary directory to your command-line
path. For example:
% exportHBASE_HOME=/home/hbase/hbase-x.y.z
% export PATH=$PATH:$HBASE_HOME/bin
 To get the list of HBase options, type: % hbase
 To start a temporary instance of HBase
% start-hbase.sh
 launch the HBase shell by typing: % hbase shell
type:

7. Difference Between Hadoop/HDFS
and Hbase
 HDFS is a distributed file system that is well suited for
the storage of large files.
 HBase, on the other hand, is built on top of HDFS and
provides fast record lookups (and updates) for large
tables.
 HDFS has based on GFS file system.
 Hbase is Distributed – uses HDFS for storage ,Column
– Oriented , Multi Dimensional( Versions) , Storage
System

8. Hbase is NOT
 A sql Database – No Joins,
datatypes , no (damn) sql
 No Schema
 No DBA needed
no query engine, no

9. Programming with HBase
 HBase shell
 Scan, List, Create, Get, Put, Delete
 Java API
 Get, Put, Delete, Scan,…
 Non-Java Clients
 Thrift
 REST
 HBase MapReduce API
 hbase.mapreduce.TableMapper;
 hbase.mapreduce.TableReducer;
 High Level Interface
 Pig, Hive

10. Storage Model
 Column – oriented database (column families)
 Table consists of Rows, each which has a
primary
key(row key)
 Each Row may have any number of columns
 Table schema only defines Column familes(column
family can have any number of columns)
 Each cell value has a timestamp

11. Hbase shell
 hbase(main):003:0> create 'test', 'cf'
 0 row(s) in 1.2200 seconds
 hbase(main):004:0> put 'test', 'row1', 'cf:a', 'value1'
 0 row(s) in 0.0560 seconds
 0 hbase(main):005:0> put 'test', 'row2', 'cf:b', 'value2'
 0 row(s) in 0.0370 seconds
 hbase(main):006:0> put 'test', 'row3', 'cf:c', 'value3'
 0 row(s) in 0.0450 seconds

12. Hbase vs RDBMS
RDBMS Hbase
 Data layout: Row-oriented Column family oriented
 Query language SQL Get/put/scan/etc *
 Security
 Max data size
 Read/write
Authentication/Authorization Work in Progress
TBs
1000s queries/second
Hundrends of PBs
Millions of queries /second

13. Use Cases
 Facebook Analytics
 Real-time counters of URLs shared, preferred links
 Twitter
 25 TB of message every month
 Mozilla
 Store crashes report, 2.5 million per day.