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H Base Vs RDBMS:

H BASE and other column-oriented DATABASE are often compared to more traditional and popular relational database or 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.                                                                        

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 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.
  • 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’

We can’t delete column family names.

Example for HBase
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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’
To see the data, a command is
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 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’
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Ravindra Savaram
About The Author

Ravindra Savaram is a Content Lead at His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter. Protection Status