Help Center/ Data Lake Insight/ SQL Syntax Reference (Paris Region)/ Spark SQL Syntax Reference/ Creating a Datasource Connection with a DDS Table/ Creating a Table and Associating It with DDS
Updated on 2022-12-07 GMT+08:00
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Creating a Table and Associating It with DDS

Function

This statement is used to create a table and associate it with an existing DDS collection.

Prerequisites

Before creating a table and associating it with DDS, you need to create a datasource connection and bind it to a queue. For details about operations on the management console, see

Syntax

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CREATE TABLE [IF NOT EXISTS] TABLE_NAME(
    FIELDNAME1 FIELDTYPE1,
    FIELDNAME2 FIELDTYPE2)
  USING MONGO OPTIONS (
  'url'='IP:PORT[,IP:PORT]/[DATABASE][.COLLECTION][AUTH_PROPERTIES]',
  'database'='xx',
  'collection'='xx',
  'passwdauth' = 'xxx',
  'encryption' = 'true'
);

Keyword

Table 1 CREATE TABLE parameter description

Parameter

Description

url

Before obtaining the DDS IP address, you need to create a datasource connection first..

After creating an enhanced datasource connection, use the random connection address provided by DDS. The format is as follows:

"IP:PORT[,IP:PORT]/[DATABASE][.COLLECTION][AUTH_PROPERTIES]"

Example: "192.168.4.62:8635,192.168.5.134:8635/test?authSource=admin"

database

DDS database name. If the database name is specified in the URL, the database name in the URL does not take effect.

collection

Collection name in the DDS. If the collection is specified in the URL, the collection in the URL does not take effect.

user

(Discarded) Username for accessing the DDS cluster.

password

(Discarded) Password for accessing the DDS cluster.

passwdauth

Datasource password authentication name. For details about how to create datasource authentication, see in the Data Lake Insight User Guide.

encryption

Set this parameter to true when datasource password authentication is used.

If a collection already exists in DDS, you do not need to specify schema information when creating a table. DLI automatically generates schema information based on data in the collection.

Example

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create table 1_datasource_mongo.test_mongo(id string, name string, age int) using mongo options(
  'url' = '192.168.4.62:8635,192.168.5.134:8635/test?authSource=admin',
  'database' = 'test',
  'collection' = 'test',
  'passwdauth' = 'xxx',
  'encryption' = 'true');