Both HBase and RDBMS, both are column-oriented database management systems. HBase is a column-oriented dbms and it works on top of Hadoop Distributed File System (HDFS). RDBMS uses tables to represent data and their relationships.
Want to become a Hadoop Developer? Check out the Big Data Hadoop Certification Training course and get certified today.
H Base Vs RDBMS:
|1. Column-oriented||1. Row-oriented(mostly)|
|2. Flexible schema, add columns on the Fly||2. Fixed schema|
|3. Good with sparse tables.||3. Not optimized for sparse tables.|
|4. No query language||4. SQL|
|5. Wide tables||5. Narrow tables|
|6. Joins using MR – not optimized||6. optimized for Joins(small, fast ones)|
|7. Tight – Integration with MR||7. Not really|
|8. De-normalize your data.||8. Normalize as you can|
|9. Horizontal scalability-just add hard war.||9. Hard to share and scale.|
|10. Consistent||10. Consistent|
|11. No transactions.||11. transactional|
|12. Good for semi-structured data as well as structured data.||12. Good for structured data.|
Read these latest Hadoop Interview Questions that helps you grab high-paying jobs!
Basis CRUD Operations in H Base:
If you want any CRUD Operations in H Base, H Base should be up and running otherwise the operations will not be successful.
Running the child instance, but not running the master instance is not the same as the running master instance as creating the child instance.
The initial sets of basic operations are often referred to as CRUD which stands for Create, Read, Update and Delete.
Subscribe to our youtube channel to get new updates..!
These are provided by the HTable class.
Whenever we are creating a table name in H Base, we must follow the below steps:
For creating a table, the syntax is
H Base (main):002:0>create ‘table name’, ’column family Name’ Ex:-H Base (main):002:0>create ‘Hadoop Table’, ’column1’, ’column2’
Wish to learn more about Hadoop? Check out our comprehensive Hadoop Tutorial
We can’t delete column family names.
To insert data, the commands are
hbase (main):002:0> put ‘Hadoop Table’, ’row1’, ’ Hadoop: HDRS’, ‘For storage’ h base (main):002:0> put ‘Hadoop Table’, ’row2’, ’ Hadoop: Map Reduce’, For Processing’ h base (main):002:0> put ‘Hadoop Table’, ’row3’, ’ Hadoop: Hive’,’ For Warehouse’ h base (main):002:0> put ‘Hadoop Table’, ’row4’, ’ Hadoop: H Base’,’ For Reads and write’
hbase (main):002:0> scan ‘Hadoop Table’, (like select stmt)
we can see the records of the table.
- To get the particular row, cmd is
Hbase(main):002:0> get ‘Hadoop Table’, ‘row2’
- To insert the multiple columns at a time, cmd is
h base (main):002:0> put ‘Hadoop Table’, ‘row4’ Hadoop: pig, hue, zookeeper’ ‘different components of hadoop’
- To delete the row, cmd is
hbase(main):002:0> Delete ‘Hadoop Table’, ‘row4’‘Hadoop:Hive’
We can delete the complete row, but cannot delete the individual value of the row.
- To insert the new row with the same row key i.e with no overriding concept and it will append, Example as below
Hbase(main):002:0> put ‘Hadoop Table’, ‘row2’‘Hadoop:New map reduce’ ‘New one’
- Based on the version ID, we will insert the values in H Base.
- To check the count of records, cmd is
hbase(main):002:0> count ‘Hadoop Table’
To check whether the table exists or not
H base(main):002:0> Exist ‘Hadoop Table’
List of Other Big Data Courses:
|Big Data On AWS||Informatica Big Data Integration|
|Bigdata Greenplum DBA||Informatica Big Data Edition|
|Hadoop Testing||Apache Mahout|