---
title: 'Talend Job 3:  Parsing massive JSON files with Talend Studio'
url: 'https://rilhia.com/media/job-of-the-week/talend-job-3-parsing-massive-json-files-with-talend-studio'
markdown: 'https://rilhia.com/media/job-of-the-week/talend-job-3-parsing-massive-json-files-with-talend-studio.md'
date: '2022-06-26'
description: 'Tackling "Big JSON" Without Crashing Your System We have all been there: you try to parse a massive JSON file and everything grinds to a halt. In this video, I tackle the challenge of processing gigabyte-scale files, specifically a 1.8 GB Google Location history dataset, within Talend Studio. I ill…'
---

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# Talend Job 3: Parsing massive JSON files with Talend Studio

 Jun 26, 2022

## Tackling "Big JSON" Without Crashing Your System

We have all been there: you try to parse a massive JSON file and everything grinds to a halt. In this video, I tackle the challenge of processing gigabyte-scale files, specifically a 1.8 GB Google Location history dataset, within Talend Studio. I illustrate the limitations of standard components and present a custom "divide and conquer" approach.

**The breakdown:**

- **The Problem:** Why standard ingestion tools often fail with massive datasets due to memory overhead and `java.lang.OutOfMemoryError`.
- **The Solution:** I implement a custom workflow using a `tJavaFlex` component and the `javax.json.stream.JsonParser` class to stream the data instead of loading it entirely.
- **The Result:** The optimized job successfully processes over 3 million array elements efficiently, even with constrained memory settings.

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---

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