Fake json data generator
Behind the scenes, the Flex template launcher service runs Docker containers with parameters supplied by the user. Users can invoke a pipeline through a variety of channels (UI, gcloud, REST) by referring to the spec file. Metadata specification files referencing the GCR image path and parameters details will be created and stored in Google Cloud Storage.
Flex templates package Dataflow pipeline code, including application dependencies, as Docker images and stage the images in Google Container Registry (GCR). Many I/Os don’t implement ValueProvider Interface, which is essential to supporting runtime parametersįlex templates overcome these limitations.
This post will demonstrate the usage of json-schema-faker to generate fake data from a JSON schema document. Generating a massive amount of fake JSON data with Mockoon is a breeze thanks to the powerful templating system based on Handlebars syntax. Generate fake data to be used in your applications based on a JSON schema document. However, traditional templates have certain limitations: Nowadays, most of the developers work with JSON. In the initial version of templates (called traditional templates), pipelines were staged on Google Cloud Storage and could be launched from the Google Cloud Console, the gcloud command-line tool or other cloud-native Google Cloud services such as Cloud Scheduler or Cloud Functions. The primary goal of Dataflow templates is to package Dataflow pipelines in the form of reusable artifacts that can be run in various channels (UI / CLI / REST API) and be used by different teams.
#FAKE JSON DATA GENERATOR GENERATOR#
Flex Templatesīefore diving into the details of the Streaming Data Generator template’s functionality, let’s explore Dataflow templates at a very high level:
#FAKE JSON DATA GENERATOR HOW TO#
In this blog post, we will briefly discuss the use cases and how to use the template. Prerequisites Read my related post Generating JSON Schema from TypeScript Types. You can create as many personal access tokens as you like at Personal Access Tokens page. We are excited to announce the launch of a new Dataflow Flex template called Streaming Data Generator that is capable of publishing unlimited high-volume JSON messages to a Google Cloud Pub/Sub topic. This post will demonstrate the usage of json-schema-faker to generate fake data from a JSON schema document. To get generated data from the JSON Generator API you need to have a Personal Access Token.
Having learned that this is a very common need which helps IT teams to validate system resilience during evaluations and migrations to new platforms, we decided to build a pipeline that eliminates the heavy lifting and makes synthetic data generation easier. Generating synthetic data at a very high queries per second (QPS) is a challenging task that forces developers to build and launch multiple instances of a complex multi-threaded application.