Prefix: prefix should match the parent key prefix Key values are prefixed by leading zeros to generated a fixed number of digits LeadingZeros: ( optional) number of digits formatting the key values. Prefix: (optional) prefix to the key generated values You can configure the following data types: Number of desired generated records attributes_listĭescriptor of the generated record fields/columns. S3://tdg-artefacts-/tgd_glue_job/Config/TDG_configuration_file.yml Configuration Parameters number_of_generated_records The Test Data Generator is configured through the YAML file TDG_configuration_file.yml found in the artefacts bucket at the following path: $/AWSGluePysparkTDG> cdk deploy Configuration Configuration File open a terminal in the workspace path and run the following CDK command to deploy the solution.If the account is not CDK bootstrapped, you need to run the following command:.Use aws configure to configure the AWS CLI with the access key to the AWS account.The TDG PySpark glue Job is invoked to generate the test data.Ĭlone the GitHub repository in your local development environmentĪWS_ACCOUNT to the AWS account id where you intend to deploy the Test Data GeneratorĪWS_REGION to the AWS region id where you intend to deploy the Test Data Generator The Service IAM role required by TDG PySpark glue Job. The artefacts S3 Bucket and uploads the TDG PySpark library and YAML configuration file into it. ![]() The deployment to AWS account is done by using AWS Cloud Development Kit (CDK)ĪWS CDK generates the CloudFromation template and deploy it in the hosting AWS Account All configurations to the generator is configured through a YAML formatted file stored in the S3 artefact bucket. The Test Data Generator is based on PySpark library which is invoked through as a PySpark AWS Glue job. This can be used to generate dates of specific intervals such as a support ticket close date, deceased date, expiration date,… etc This generator produces random from a configurable start date column and a range. This generator produces random dates generator from a configurable date range. This can be used to generate IP address ranges for testing applications used for internet traffic monitoring or filtering. This generator produces random IP addresses. This can be used to generate float values such as salary, temperature, profit, statistical data. This generator produces random float/double data from an expression. This generator produces random integer data from a specified range. This can be used to generate fake emails, formatted phone numbers, comments, address like data, …etc. Strings from a Pattern: you can provide generic pattern for your string data. This can be used to generate categorical columns with predefined set of values such as order status, product types, marital status, gender.etc/ Strings from a Dictionary: you can provide a dictionary of words to pick up randomly by the generator. ![]() This can be used for generating random serial numbers, ordinal data, codes, identity numbers. Random Strings: you can specify the number of characters and the type of generated characters: numeric, alphabetic or alphanumeric values. This generator produces String data type with various mechanisms: you can specify the number of levels and how many nodes you want to generate per level. This is useful in generating multi-level hierarchical data. ![]() This generator produces a child key referencing the primary key. you can specify a prefix to and the number of leading zeros if required. This generator produces formatted unique values that can be used as partition key. The Test Data Generation Framework currently supports the following types: The required test data description is fully configurable through a YAML configuration file. Mock.js is available under the terms of the MIT License.The AWS Glue Test Data Generator provides a configurable framework for Relational Test Data Generation using AWS Glue Pyspark Jobs. Is it reproducible after updating to the latest version? What version of Mock.js is the issue reproducible in. Indicate what browsers the issue can be reproduced in. Make sure the problem you're addressing is reproducible. If you have any questions, please feel free to ask through New Issue. Introduction, mennovanslooten/mockJSON, appendto/jquery-mockjax and victorquinn/chancejs. This library is loosely inspired by Elijah Manor's post Mocking Generate simulated data according to HTML-based templates.Provide request/response mocking for ajax requests.Generate simulated data according to the data template.Mock.js is a simulation data generator to help the front-end to develop and prototype separate from the back-end progress and reduce some monotony particularly while writing automated tests.
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