HBase is a column-oriented NoSQL database built on HDFS that is designed for high throughput and large datasets. It is based on BigTable and uses HDFS for storage. Data can be accessed quickly via random reads/writes or processed in batches with MapReduce. HBase has a flexible data model with dynamic columns and is well-suited for applications needing big data storage and access.

1. HBase - Just The BasicsCopyright © 2015 Smoking Hand LLC. All rights Reserved 1 / 21

2. NoSQL Datastore built on top of the HDFS filesystem
HBase is a column family oriented database
Based on the Google BigTable paper
Uses HDFS for storage
Data can be retrieved quickly or batch processed with
MapReduce
What Is Apache HBase?
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3. Need Big Data TB/PB
High throughput
Variable columns
Need random reads and writes
HBase Use Cases
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4. HBase Architecture
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5. HBase Daemons
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6. NoSQL Table Architecture
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7. Column Families
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8. NoSQL Data
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9. Regions
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10. Write Path
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11. Read Path
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12. HBase API
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13. HBase has a Java API
It is the only first class citizen
There are other programmatic interfaces
A REST interface allows HTTP access
A Thrift gateway allow non-Java programmatic access
There are non-native SQL interfaces
Apache Phoenix, Impala, Presto, Hive
Accessing HBase
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14. setConf(HBaseConfiguration.create(getConf()));
Connectionconnection=null;
Tabletable=null;
try{
//Definethetableandcolumnfamilyforthedata
TableNameTABLE_NAME=TableName.valueOf("hbasetable");
byte[]CF=Bytes.toBytes("colfamily");
//Connecttothetable
connection=ConnectionFactory.createConnection(getConf());
table=connection.getTable(TABLE_NAME);
//Createaputandaddcolumnstoit
Putp=newPut(Bytes.toBytes("rowkey"));
p.addColumn(CF,Bytes.toBytes("columnqual"),Bytes.toBytes(42.0d));
//Addthenewcolumntotherow
table.put(p);
}finally{
//closeeverythingdown
if(table!=null)
table.close();
if(connection!=null)
connection.close();
}
Puts
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15. //Definethetableandcolumnfamilyforthedata
TableNameTABLE_NAME=TableName.valueOf("hbasetable");
byte[]CF=Bytes.toBytes("colfamily");
//Connecttothetable
connection=ConnectionFactory.createConnection(getConf());
table=connection.getTable(TABLE_NAME);
//Createagetwiththerowkeyyouwant
Getg=newGet(Bytes.toBytes("rowkey"));
//Gettherowandbytestheforthecell
Resultresult=table.get(g);
byte[]value=result.getValue(CF,Bytes.toBytes("columnqual"));
//Yes,yourclientwillneedtoknowthetypeofdatainthecell
doubledoubleValue=Bytes.toDouble(value);
Gets
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16. Architecting HBase Solutions
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17. Architecting for a RDBMS is about relationships or
normalizing data
Architecting for HBase is about access patterns or
denormalizing data
Questions to ask:
How is data being accessed?
What is the fastest way to read or write data?
What is the optimal way to organize data?
Differences With RDBMS
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18. Abject Failure
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Treating HBase like a relational
database will lead to abject
failure
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19. Actual engineering goes into row key design
You only have one index or primary key
Getting this primary key right takes time and effort
You don't just use an auto-incrementing number
Multiple pieces of data are often in the row key
Row Keys
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20. Tables schemas require design and thought
The access pattern should be known ahead of time
General best practices:
Fewer, bigger (denormalized) tables
Spend more time designing up front
Use bulk loading for incremental or time series data
Schema Design
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21. Jesse Anderson (Smoking Hand)
jesse@smokinghand.com
@jessetanderson
Conclusion
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