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HBase	-	Just	The	Basics
The	Basics	of	HBase
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?
Need	Big	Data	TB/PB
High	throughput
Variable	columns
Need	random	reads	and	writes
HBase	Use	Cases
HBase	Architecture
HBase	Daemons
NoSQL	Table	Architecture
Column	Families
NoSQL	Data
Regions
Write	Path
Read	Path
HBase	API
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
setConf(HBaseConfiguration.create(getConf()));
Connection	connection	=	null;
Table	table	=	null;
try	{
				//	Define	the	table	and	column	family	for	the	data
				TableName	TABLE_NAME	=	TableName.valueOf("hbasetable");
				byte[]	CF	=	Bytes.toBytes("colfamily");
				//	Connect	to	the	table
				connection	=	ConnectionFactory.createConnection(getConf());
				table	=	connection.getTable(TABLE_NAME);
				//	Create	a	put	and	add	columns	to	it
				Put	p	=	new	Put(Bytes.toBytes("rowkey"));
				p.addColumn(CF,	Bytes.toBytes("columnqual"),	Bytes.toBytes(42.0d));
				//	Add	the	new	column	to	the	row
				table.put(p);
}	finally	{
				//	close	everything	down
				if	(table	!=	null)
								table.close();
				if	(connection	!=	null)
								connection.close();
}
Puts
//	Define	the	table	and	column	family	for	the	data
TableName	TABLE_NAME	=	TableName.valueOf("hbasetable");
byte[]	CF	=	Bytes.toBytes("colfamily");
//	Connect	to	the	table
connection	=	ConnectionFactory.createConnection(getConf());
table	=	connection.getTable(TABLE_NAME);
//	Create	a	get	with	the	row	key	you	want
Get	g	=	new	Get(Bytes.toBytes("rowkey"));
//	Get	the	row	and	bytes	the	for	the	cell
Result	result	=	table.get(g);
byte[]	value	=	result.getValue(CF,	Bytes.toBytes("columnqual"));
//	Yes,	your	client	will	need	to	know	the	type	of	data	in	the	cell
double	doubleValue	=	Bytes.toDouble(value);
Gets
Architecting	HBase
Solutions
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/write
data?
What	is	the	optimal	way	to	organize
data?
Differences	With	RDBMS
Treating
HBase	like	a
relational
database	will
lead	to	abject
failure
Abject	Failure
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
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
Jesse	Anderson	(Smoking	Hand)
jesse@smokinghand.com
@jessetanderson
Conclusion

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