Apache phoenix:创建phoenix表映射到现有的hbase表 [英] Apache phoenix: create phoenix table maps to existing hbase table

问题描述

我确实有hbase表&对于SQL支持，我正在尝试探索是否可以创建apache phoenix表.

I do have existing hbase table & for SQL support I am trying to explore if I can create apache phoenix table.

我想知道是否在现有的hbase表上创建phoenix表，它是否复制(或复制)hbase表中存在的数据，或者phoenix表只是链接到hbase中存在的现有数据?

I would like to know if I create phoenix table on existing hbase table, does it replicate (or copy) data present in hbase table, or phoenix table just links to existing data present in hbase?

我的凤凰版本是< 4.12.0，所以此错误仍然适用于我的版本因此无法在现有的hbase表之上创建视图.

My phoenix version is <4.12.0 so this error still applies on my version & hence can't create View on top of existing hbase table.

推荐答案

我们可以在现有Hbase表的顶部创建Phoenix表.它在内部使用Phoenix协处理器与phoenix表链接.

We can create a Phoenix table on top of the existing Hbase table. It internally uses Phoenix co-processor to link with the phoenix table.

是的，数据将被复制.

请参阅以下步骤执行相同的操作:

See below steps to do the same :

create 'DEV_HBASE:TestPhoneixIntegration','cf'
describe 'HBASE_PAS:TestPhoneixIntegration'

  Table HBASE_PAS:TestPhoneixIntegration is ENABLED                                                                                                                                                           
  HBASE_PAS:TestPhoneixIntegration                                                                                                                                                                            
  COLUMN FAMILIES DESCRIPTION                                                                                                                                                                                     
  {NAME => 'cf', BLOOMFILTER => 'ROW', VERSIONS => '1', IN_MEMORY => 'false', KEEP_DELETED_CELLS => 'FALSE', DATA_BLOCK_ENCODING => 'NONE', TTL => 'FOREVER', COMPRESSION => 'NONE', MIN_VERSIONS => '0', BLOCKCAC
  HE => 'true', BLOCKSIZE => '65536', REPLICATION_SCOPE => '0'}                                                                                                                                                   
  1 row(s) in 0.0630 seconds

------------------------------------------------------

create table "DEV_HBASE"."TestPhoneixIntegration"(ROWKEY VARCHAR PRIMARY KEY , "cf"."name" VARCHAR);

SELECT * FROM "DEV_HBASE"."TestPhoneixIntegration";
+----------+-------+
|  ROWKEY  | name  |
+----------+-------+
| rowkey1  | John  |
+----------+-------+

--------------------------------------------------------
describe 'DEV_HBASE:TestPhoneixIntegration'
Table DEV_HBASE:TestPhoneixIntegration is ENABLED                                                                                                                                                           
    DEV_HBASE:TestPhoneixIntegration, {TABLE_ATTRIBUTES => {coprocessor$1 => '|org.apache.phoenix.coprocessor.ScanRegionObserver|805306366|', coprocessor$2 => '|org.apache.phoenix.coprocessor.UngroupedAggrega
    teRegionObserver|805306366|', coprocessor$3 => '|org.apache.phoenix.coprocessor.GroupedAggregateRegionObserver|805306366|', coprocessor$4 => '|org.apache.phoenix.coprocessor.ServerCachingEndpointImpl|80530636
    6|', coprocessor$5 => '|org.apache.phoenix.hbase.index.Indexer|805306366|org.apache.hadoop.hbase.index.codec.class=org.apache.phoenix.index.PhoenixIndexCodec,index.builder=org.apache.phoenix.index.PhoenixInde
    xBuilder'}                                                                                                                                                                                                      
COLUMN FAMILIES DESCRIPTION                                                                                                                                                                                     
{NAME => 'cf', BLOOMFILTER => 'ROW', VERSIONS => '1', IN_MEMORY => 'false', KEEP_DELETED_CELLS => 'FALSE', DATA_BLOCK_ENCODING => 'NONE', TTL => 'FOREVER', COMPRESSION => 'NONE', MIN_VERSIONS => '0', BLOCKCAC
HE => 'true', BLOCKSIZE => '65536', REPLICATION_SCOPE => '0'}                                                                                                                                                   
1 row(s) in 0.0580 seconds

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