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Discover how to easily create a JSON object from a TSV file containing key/value pairs using a single `jq` call.
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Transforming TSV Key/Value Pairs into a JSON Object with jq

If you're working with data, you may often come across TSV (Tab-Separated Values) files that contain key/value pairs. Converting this structured data format into a JSON object can be cumbersome—but not with jq, a powerful command-line tool for processing JSON data. In this guide, we will discuss how to efficiently create a JSON object from a TSV file using a single jq command.

Understanding the Problem

It's common to run into situations where you have a TSV stream like this:

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This format allows you to represent key/value pairs, but when you need to use this data as a JSON object, additional steps might seem necessary. Although multiple jq calls can achieve this, the challenge lies in finding a way to do it with a single, elegant command. Let's explore how to accomplish this.

The Solution

Using jq

jq offers the capability to transform data streams seamlessly. When dealing with a short TSV stream, you want to create a JSON object by utilizing two helpful options: -n and inputs. Here are two methods to do that: using reduce and from_entries.

Method 1: Using reduce

The reduce function allows you to process each line in the TSV stream and build the JSON object as you go along.

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Explanation:

-R: Reads input as raw strings.

-n: Prevents jq from accepting any input and allows you to define how to handle the input manually.

inputs: This function consumes the input item by item.

reduce: It takes the input and constructs a JSON object by mapping keys to values.

Method 2: Using from_entries

Another efficient way to create a JSON object from a TSV stream is to use the from_entries function.

[[See Video to Reveal this Text or Code Snippet]]

Explanation:

Here, we use a list comprehension within the brackets to create an array of objects with key and value attributes.

from_entries: This function converts the array of key/value objects into a JSON object.

Example Output

Both methods will yield an output that looks like this:

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Conclusion

Transforming a TSV stream containing key/value pairs into a JSON object can be achieved efficiently with jq. By using either the reduce method or the from_entries method, you can successfully convert your data with a single jq call. This not only saves time but also simplifies your workflow when dealing with JSON data.

To sum up:

jq is a powerful tool for stream processing and data transformation.

The options -n and inputs allow for efficient data handling.

The resulting JSON object is neatly formatted and ready for further use.

Try it out in your next data processing task, and experience the power of jq firsthand!