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.
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|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.|
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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.
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’
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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.
Hbase(main):002:0> get ‘Hadoop Table’, ‘row2’
h base (main):002:0> put ‘Hadoop Table’, ‘row4’ Hadoop: pig, hue, zookeeper’ ‘different components of hadoop’
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.
Hbase(main):002:0> put ‘Hadoop Table’, ‘row2’‘Hadoop:New map reduce’ ‘New one’
hbase(main):002:0> count ‘Hadoop Table’
To check whether the table exists or not
H base(main):002:0> Exist ‘Hadoop Table’
|Big Data On AWS||Informatica Big Data Integration|
|Bigdata Greenplum DBA||Informatica Big Data Edition|
|Hadoop Testing||Apache Mahout|
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Yamuna Karumuri is a content writer at Mindmajix.com. Her passion lies in writing articles on IT platforms including Machine learning, PowerShell, DevOps, Data Science, Artificial Intelligence, Selenium, MSBI, and so on. You can connect with her via LinkedIn.
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