Ylem documentation
  • 🗒️General information
    • Introduction to Ylem
    • Quick start guide
    • Release notes
  • 🔬Open-source edition
    • Installation
    • Usage of Apache Kafka
    • Task processing architecture
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    • Initial demo data source
  • 🚡Pipelines
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    • Running and scheduling pipelines
    • Library of templates
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  • 📈Statistics and profiling
    • Statistics of runs
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  • 📊Metrics
    • Metric management
    • Using previous values of a metric
  • 💼Use cases, patterns, templates, examples
    • Use cases
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    • Functional use cases
      • Streaming from Apache Kafka and messaging queues
      • Streaming from APIs
      • Streaming from databases
      • Data orchestration, transformation and processing
      • Usage of Python and Pandas
      • KPI Monitoring
      • OKRs and custom metrics
      • Data Issues & Incidents
      • Reporting
      • Other functional use cases
    • Industry-specific use cases
      • Finance and Payments
      • E-commerce & Logistics
      • Customer Success
      • Security, Risk, and Anti-Fraud
      • Anti-Money Laundering (AML)
  • 🔌API
    • OAuth clients
    • API Reference
  • 👁️‍🗨️Other resources
    • FAQ
    • Our blog on Medium
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  1. Pipelines
  2. Tasks

Processor

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Last updated 1 year ago

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The "Processor" is a powerful task designed to process and transform data from the input format to a completely different output format without using any programming.

To do that it uses the power of JSON processor.

Let's imagine, we have an input dataset of elements, each of which has 3 fields: id, amount and currency. What we want to do with it is to calculate a total amount, a total amount in euros, and get all IDs as a separate list. Something like that:

{
    IDs: [1, 2, 3, 4],
    totalAmount: 1500,
    totalAmountInEUR: 1000,
}

That is how can be done just using "Processor":

More information and examples are in the .

🚡
official jq documentation
jq