> For the complete documentation index, see [llms.txt](https://docs.qyrus.com/data-testing/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.qyrus.com/data-testing/jobs-and-workflows/index.md).

# Job Management

> Your job management hub for creating, running, monitoring, and organizing all your data validation jobs.

Whether you're comparing datasets or checking data quality, everything starts here.

{% hint style="info" %}
A **Job** is a configured task that defines what data to validate, how to validate it, and which rules apply. Create, execute, monitor, and archive jobs all in one place.
{% endhint %}

![Job Management Dashboard](/files/ejgYXv20osBiKCWR5tun)

***

## 🚀 Getting Started: Create a New Job

Choose the type of validation job that fits your needs:

{% tabs %}
{% tab title="Compare Job" %}
**Validate differences between two datasets**

Perfect when you need to:

* 🔄 Compare production vs. staging data
* ✅ Verify data migrations
* 🔗 Check cross-system consistency
* 📊 Audit data synchronization

**Use Cases:**

* Source → Target migration validation
* Replication verification
* Backup integrity checks
* Multi-region consistency

[➕ Create a Compare Job →](/data-testing/jobs-and-workflows/index/compare-job.md)
{% endtab %}

{% tab title="Evaluate Job" %}
**Perform in-depth validations on a single data source**

Ideal for:

* 🏗️ Schema validation
* 📋 Constraint checking
* 📈 Data profiling
* ✅ Quality rule enforcement
* 🧪 Custom logic validation

**Use Cases:**

* Data quality checks
* Schema compliance
* Business rule validation
* Data governance audits

[➕ Create an Evaluate Job →](/data-testing/jobs-and-workflows/index/evaluate-job.md)
{% endtab %}
{% endtabs %}

***

## 💾 Your Saved Jobs

Find all your job configurations in one convenient location. The Saved Jobs dashboard makes it easy to manage and rerun your validation workflows.

### What You Can Do

**📂 Browse & Organize**

* View your complete job library
* Sort and filter by various criteria
* Group by purpose or data source
* Search for specific jobs

**▶️ Run Your Jobs**

Choose how you want to execute:

| Mode             | Purpose                                        | Best For        |
| ---------------- | ---------------------------------------------- | --------------- |
| **Standard Run** | Full validation with comprehensive checks      | Complete audits |
| **⚡ Quick Run**  | Fast execution for datasets under 500K records | Rapid testing   |

{% hint style="success" %}
**Quick Run** is optimized for speed when you're working with smaller datasets or doing iterative testing during job development.
{% endhint %}

**🛠️ Manage Your Jobs**

* **✏️ Edit** – Update configurations as your needs change
* **📋 Clone** – Copy an existing job as a template
* **🗑️ Delete** – Remove jobs you no longer need
* **📌 Archive** – Store completed jobs for reference

![Saved Jobs Dashboard](/files/FwJW8VegyjGR7amQcmve)

***

## ⚡ Quick Run: Fast Testing Mode

Need results faster? Quick Run is optimized for speed when working with smaller datasets or doing iterative testing.

### When to Use Quick Run

Use Quick Run for:

* 🧪 Testing new configurations
* 📊 Working with datasets up to 500K records
* 🔄 Need faster feedback during development
* ⏱️ Running frequent validation checks

**Execution Time Comparison:**

| Dataset Size        | Standard Run | Quick Run     |
| ------------------- | ------------ | ------------- |
| < 100K records      | 5-10 min     | 1-2 min       |
| 100K - 500K records | 10-30 min    | 2-5 min       |
| > 500K records      | 30+ min      | Not available |

### Quick Run Locations

You can access Quick Run from:

1. **Starting a new job** – Choose Quick Run mode
2. **Saved Jobs list** – Use the Quick Run button
3. **Job history** – Quick Run on previous configurations

![Quick Run Option](/files/NCxF02fmWt87vRo5ysGa)\
![Quick Run in Saved Jobs](/files/7cZfiXfgCr6BJMo4WuMU)

{% hint style="info" %}
**Pro Tip:** Use Quick Run to validate your job configuration with sample data before running a full-scale validation.
{% endhint %}

***

## 📊 Job History: Track Your Results

Review all your past job executions in one place. The Job History section gives you complete visibility into your validation activities.

### Key Features

**📋 Complete Audit Trail**

* Chronological record of every job execution
* Timestamps and status for each run
* User attribution and execution context
* Performance metrics and resource usage

**📈 Detailed Results**

Click on any Completed job to view full validation results and findings.

**Compare Reports:**

* [View Compare Job Report →](/data-testing/reports-and-results/index/compare-report.md)
* [View Evaluate Job Report →](/data-testing/reports-and-results/index/evaluate-report.md)

**🔍 Smart Filtering**

Quickly locate specific jobs using multiple filters:

-️ **Status**: Completed, Failed, Running, Pending

* 📅 **Date Range**: Filter by execution dates
* 🏷️ **Job Type**: Compare or Evaluate
* 🔤 **Job Name**: Search by name

![Job History View](/files/ZahESsYqHAYEPFuJrLzN)

***

## 📊 Job Status Reference

| Status        | Meaning                   | Action           |
| ------------- | ------------------------- | ---------------- |
| **Pending**   | Job queued for execution  | Wait or cancel   |
| **Running**   | Job currently executing   | Monitor progress |
| **Completed** | Job finished successfully | View report      |
| **Failed**    | Job execution failed      | Review errors    |
| **Paused**    | Job manually paused       | Resume or cancel |

***

## 🎯 Best Practices

{% hint style="warning" %}
**Job Management Best Practices:**

1. ✅ **Name jobs descriptively** - Include source, target, and date
2. ✅ **Schedule regular runs** - Automate validation workflows
3. ✅ **Monitor trends** - Track data quality over time
4. ✅ **Archive old jobs** - Keep dashboard organized
5. ✅ **Test with Quick Run** - Before running full validation
6. ✅ **Review failed jobs** - Address issues promptly
7. ✅ **Document rules** - Maintain job configuration documentation
   {% endhint %}

***

## 🔄 Job Workflow

```mermaid
graph TD
    A["Create Job"] --> B["Configure Data Sources"]
    B --> C["Define Validation Rules"]
    C --> D["Test Configuration"]
    D --> E["Run Job"]
    E --> F{"Completed?"}
    F -->|Success| G["Review Report"]
    F -->|Failed| H["Debug & Edit"]
    H --> E
    G --> I["Archive or Rerun"]
    style A fill:#e1f5ff
    style E fill:#fff3e0
    style G fill:#c8e6c9
```

***

## 📚 Related Documentation

* [Create Compare Job](/data-testing/jobs-and-workflows/index/compare-job.md)
* [Create Evaluate Job](/data-testing/jobs-and-workflows/index/evaluate-job.md)
* [Quick Run Guide](/data-testing/jobs-and-workflows/index/quick-run.md)
* [Comparing Jobs](/data-testing/jobs-and-workflows/index/compare-jobs.md)
* [Evaluating Jobs](/data-testing/jobs-and-workflows/index/evaluate-jobs.md)
* [Compare Report](/data-testing/reports-and-results/index/compare-report.md)
* [Evaluate Report](/data-testing/reports-and-results/index/evaluate-report.md)
* [Data Source Connectors](/data-testing/data-sources/index.md)

***

## ❓ FAQ

**Q: How many jobs can I create?** A: Unlimited jobs. Organize them using naming conventions and tags.

**Q: Can I schedule jobs?** A: Yes, schedule jobs to run automatically on specific dates and times.

**Q: What's the difference between Compare and Evaluate?** A: Compare validates two sources, Evaluate validates one source against rules.

**Q: Can I edit a running job?** A: No, but you can edit saved configurations before starting a new run.