DataGen SQL Connector

Scan Source: Bounded Scan Source: UnBounded

• Usage
• Types
• Connector Options

The DataGen connector allows for creating tables based on in-memory data generation. This is useful when developing queries locally without access to external systems such as Kafka. Tables can include Computed Column syntax which allows for flexible record generation.

The DataGen connector is built-in, no additional dependencies are required.

Usage

By default, a DataGen table will create an unbounded number of rows with a random value for each column. For variable sized types, char/varchar/string/array/map/multiset, the length can be specified. Additionally, a total number of rows can be specified, resulting in a bounded table.

There also exists a sequence generator, where users specify a sequence of start and end values. If any column in a table is a sequence type, the table will be bounded and end with the first sequence completes.

Time types are always the local machines current system time.

CREATE TABLE Orders (
    order_number BIGINT,
    price        DECIMAL(32,2),
    buyer        ROW<first_name STRING, last_name STRING>,
    order_time   TIMESTAMP(3)
) WITH (
  'connector' = 'datagen'
)

Often, the data generator connector is used in conjuction with the LIKE clause to mock out physical tables.

CREATE TABLE Orders (
    order_number BIGINT,
    price        DECIMAL(32,2),
    buyer        ROW<first_name STRING, last_name STRING>,
    order_time   TIMESTAMP(3)
) WITH (...)
-- create a bounded mock table
CREATE TEMPORARY TABLE GenOrders
WITH (
    'connector' = 'datagen',
    'number-of-rows' = '10'
)
LIKE Orders (EXCLUDING ALL)

Types

Connector Options