Gilhari Streaming Example FAQs

Question 1

What kind of JSON objects can be streamed using this example?

Accepted Answer

While this example specifically showcases streaming of a `JSON_Employee` object model, Gilhari's framework is designed to persist and stream any application-specific JSON objects efficiently to any relational database, automating the ORM and API aspects.

Question 2

What is the Gilhari Streaming Example?

Accepted Answer

It's an example demonstrating how to use Gilhari, a Docker-compatible microservice framework, for efficient streaming queries of large JSON object result sets via a RESTful API. It showcases memory-efficient data retrieval in manageable chunks.

Question 3

How does it handle large JSON datasets efficiently?

Accepted Answer

The example leverages Gilhari's streaming query feature with `startStream`, `fetchMore`, and `closeStream` methods. This enables controlled batching and server-side cursor management, preventing the loading of entire datasets into memory for processing.

Question 4

What are the key benefits of Gilhari's streaming queries?

Accepted Answer

Key benefits include reduced memory consumption, improved performance for large queries, controlled batching of objects, implicit database transaction support for streaming operations, and lower latency by allowing incremental processing of results.

Question 5

Does Gilhari require custom code for REST APIs or database interaction?

Accepted Answer

No, Gilhari automates REST API handling (POST, GET, PUT, DELETE), JSON CRUD operations, and database schema setup through its Object-Relational Mapping (ORM) functionality. This means no manual coding is required for its core features.

Gilhari Streaming Example

Gilhari Streaming Example

Key Features

Use Cases

Key Features

Use Cases