【HBASE】【PHOENIX】Phoenix basic 与 phoenix表在hbase中的映射

参考phoenix 官网quickStart

http://phoenix.apache.org/Phoenix-in-15-minutes-or-less.html

1. 创建us_population.sql,定义phoenix表

    主键是state 与 city

CREATE TABLE IF NOT EXISTS us_population (
      state CHAR(2) NOT NULL,
      city VARCHAR NOT NULL,
      population BIGINT
      CONSTRAINT my_pk PRIMARY KEY (state, city));

2. 创建csv文件用于存放带插入数据

NY,New York,8143197
CA,Los Angeles,3844829
IL,Chicago,2842518
TX,Houston,2016582
PA,Philadelphia,1463281
AZ,Phoenix,1461575
TX,San Antonio,1256509
CA,San Diego,1255540
TX,Dallas,1213825
CA,San Jose,912332

3. 通过phoenix-psql.py执行sql脚本并且向phoenix中插入数据

./psql.py <your_zookeeper_quorum> us_population.sql us_population.csv 
[ec2-user@hmaster bin]$ ./psql.py 10.180.137.44,10.180.137.46,10.180.137.47 us_population.sql us_population.csv
-bash: ./psql.py: No such file or directory
[ec2-user@hmaster bin]$ 
[ec2-user@hmaster bin]$ 
[ec2-user@hmaster bin]$ 
[ec2-user@hmaster bin]$ ./phoenix-psql.py 10.180.137.44,10.180.137.46,10.180.137.47 us_population.sql us_population.csv
16/11/30 18:52:17 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/11/30 18:52:28 WARN impl.MetricsConfig: Cannot locate configuration: tried hadoop-metrics2-phoenix.properties,hadoop-metrics2.properties
no rows upserted
Time: 0.994 sec(s)

csv columns from database.
CSV Upsert complete. 10 rows upserted
Time: 0.237 sec(s)

4. 通过C:\phoenix\squirrel-sql-3.5.3查看表phoenix中的数据

 

 

5. 查看phoenix表映射在hbase中的存储

rowkey是phoenix的主键state 与 city

hbase(main):013:0> describe "US_POPULATION"
Table US_POPULATION is ENABLED                                                                                    
US_POPULATION, {TABLE_ATTRIBUTES => {coprocessor$1 => '|org.apache.phoenix.coprocessor.ScanRegionObserver|80530636
6|', coprocessor$2 => '|org.apache.phoenix.coprocessor.UngroupedAggregateRegionObserver|805306366|', coprocessor$3
 => '|org.apache.phoenix.coprocessor.GroupedAggregateRegionObserver|805306366|', coprocessor$4 => '|org.apache.pho
enix.coprocessor.ServerCachingEndpointImpl|805306366|', coprocessor$5 => '|org.apache.phoenix.hbase.index.Indexer|
805306366|org.apache.hadoop.hbase.index.codec.class=org.apache.phoenix.index.PhoenixIndexCodec,index.builder=org.a
pache.phoenix.index.PhoenixIndexBuilder', coprocessor$6 => '|org.apache.hadoop.hbase.regionserver.LocalIndexSplitt
er|805306366|'}                                                                                                   
COLUMN FAMILIES DESCRIPTION                                                                                       
{NAME => '0', BLOOMFILTER => 'ROW', VERSIONS => '1', IN_MEMORY => 'false', KEEP_DELETED_CELLS => 'FALSE', DATA_BLO
CK_ENCODING => 'FAST_DIFF', TTL => 'FOREVER', COMPRESSION => 'NONE', MIN_VERSIONS => '0', BLOCKCACHE => 'true', BL
OCKSIZE => '65536', REPLICATION_SCOPE => '0'}                                                                     
1 row(s) in 0.0700 seconds
hbase(main):009:0* scan "US_POPULATION"
ROW                           COLUMN+CELL                                                                         
 AZPhoenix                    column=0:POPULATION, timestamp=1480503157237, value=\x80\x00\x00\x00\x00\x16MG      
 AZPhoenix                    column=0:_0, timestamp=1480503157237, value=                                        
 CALos Angeles                column=0:POPULATION, timestamp=1480503157237, value=\x80\x00\x00\x00\x00:\xAA\xDD   
 CALos Angeles                column=0:_0, timestamp=1480503157237, value=                                        
 CASan Diego                  column=0:POPULATION, timestamp=1480503157237, value=\x80\x00\x00\x00\x00\x13(t      
 CASan Diego                  column=0:_0, timestamp=1480503157237, value=                                        
 CASan Jose                   column=0:POPULATION, timestamp=1480503157237, value=\x80\x00\x00\x00\x00\x0D\xEB\xCC
 CASan Jose                   column=0:_0, timestamp=1480503157237, value=                                        
 ILChicago                    column=0:POPULATION, timestamp=1480503157237, value=\x80\x00\x00\x00\x00+_\x96      
 ILChicago                    column=0:_0, timestamp=1480503157237, value=                                        
 NYNew York                   column=0:POPULATION, timestamp=1480503157237, value=\x80\x00\x00\x00\x00|A]         
 NYNew York                   column=0:_0, timestamp=1480503157237, value=                                        
 PAPhiladelphia               column=0:POPULATION, timestamp=1480503157237, value=\x80\x00\x00\x00\x00\x16S\xF1   
 PAPhiladelphia               column=0:_0, timestamp=1480503157237, value=                                        
 TXDallas                     column=0:POPULATION, timestamp=1480503157237, value=\x80\x00\x00\x00\x00\x12\x85\x81
 TXDallas                     column=0:_0, timestamp=1480503157237, value=                                        
 TXHouston                    column=0:POPULATION, timestamp=1480503157237, value=\x80\x00\x00\x00\x00\x1E\xC5F   
 TXHouston                    column=0:_0, timestamp=1480503157237, value=                                        
 TXSan Antonio                column=0:POPULATION, timestamp=1480503157237, value=\x80\x00\x00\x00\x00\x13,=      
 TXSan Antonio                column=0:_0, timestamp=1480503157237, value=                                        
10 row(s) in 0.6030 seconds

 

posted @ 2016-12-05 20:43  AlexBai326  阅读(2297)  评论(0编辑  收藏  举报