HBase Source Table

Function

Create a source stream to obtain data from HBase as input for jobs. HBase is a column-oriented distributed cloud storage system that features enhanced reliability, excellent performance, and elastic scalability. It applies to the storage of massive amounts of data and distributed computing. You can use HBase to build a storage system capable of storing TB- or even PB-level data. With HBase, you can filter and analyze data with ease and get responses in milliseconds, rapidly mining data value. DLI can read data from HBase for filtering, analysis, and data dumping.

Prerequisites

• An enhanced datasource connection has been created for DLI to connect to HBase, so that jobs can run on the dedicated queue of DLI and you can set the security group rules as required.
• If MRS HBase is used, IP addresses of all hosts in the MRS cluster have been added to host information of the enhanced datasource connection.

  For details, see Modifying the Host Information in the Data Lake Insight User Guide.

• You have set up an enhanced datasource connection. For details, see Enhanced Datasource Connections in the Data Lake Insight User Guide.
• For details about how to configure security group rules, see Security Group Overview in the Virtual Private Cloud User Guide.

Syntax

create table hbaseSource (
  attr_name attr_type 
  (',' attr_name attr_type)* 
  (',' watermark for rowtime_column_name as watermark-strategy_expression)
)
with (
  'connector.type' = 'hbase',
  'connector.version' = '1.4.3',
  'connector.table-name' = '',
  'connector.zookeeper.quorum' = ''
);

Parameters

Example

create table hbaseSource(
  rowkey1 string,
  rowkey2 string,
  info Row<owner string>,
  car ROW<miles string, speed string>
 ) with (
   'connector.type' = 'hbase',
   'connector.version' = '1.4.3',
   'connector.table-name' = 'carinfo',
   'connector.rowkey' = 'rowkey1:1,rowkey2:3',
   'connector.zookeeper.quorum' = 'xxxx:2181'
 );