Logic Apps – Log Analytics Data Collector Is Not Accepting Array Variables: The Ultimate Troubleshooting Guide

Are you pulling your hair out because your Logic Apps Log Analytics Data Collector is refusing to accept array variables? Well, you’re not alone! This pesky issue has been the bane of many developers’ existence, but fear not, dear reader, for we’re about to embark on a thrilling adventure to conquer this problem once and for all!

The Problem: A Brief Overview

When working with Logic Apps and Log Analytics, you might encounter an issue where the Log Analytics Data Collector is not accepting array variables. This can be frustrating, especially if you’re trying to collect and analyze data from multiple sources or systems. The error message might look something like this:

"Error: The request body contains one or more invalid property values"

But Why?! The Mystery Behind the Error

The reason behind this error lies in the way Log Analytics Data Collector handles array variables. By default, it’s not designed to accept array variables, which can lead to this error. But don’t worry, we’ve got some clever workarounds to share with you!

Solution 1: Convert the Array to a String

One approach is to convert the array variable into a string using the `join` function. This method is straightforward and easy to implement. Here’s an example:

{
    "variables": {
        "myArray": ["apple", "banana", "orange"]
    },
    "actions": {
        "Convert_Array_To_String": {
            "type": "SetVariable",
            "name": "myString",
            "value": "@join(', ', variables('myArray'))"
        }
    }
}

In this example, we’re using the `join` function to convert the `myArray` variable into a string, separated by commas. The resulting string can then be sent to the Log Analytics Data Collector.

Pros and Cons

This method is easy to implement, but it has some limitations. For instance, if you’re dealing with large arrays or complex data structures, this approach might not be efficient. Additionally, if you need to maintain the original array structure, this method might not be suitable.

Solution 2: Use the `Json` Function

Another approach is to use the `json` function to convert the array variable into a JSON string. This method is more flexible than the previous one and allows you to maintain the original array structure.

{
    "variables": {
        "myArray": ["apple", "banana", "orange"]
    },
    "actions": {
        "Convert_Array_To_JSON": {
            "type": "SetVariable",
            "name": "myJSON",
            "value": "@json(variables('myArray'))"
        }
    }
}

In this example, we’re using the `json` function to convert the `myArray` variable into a JSON string. The resulting JSON string can then be sent to the Log Analytics Data Collector.

Pros and Cons

This method is more flexible than the previous one, but it requires a good understanding of JSON data structures. Additionally, if you’re dealing with very large arrays or complex data structures, this approach might not be efficient.

Solution 3: Use the `Array` Function

A third approach is to use the `array` function to convert the array variable into a format that’s acceptable by the Log Analytics Data Collector. This method is more efficient than the previous two and allows you to maintain the original array structure.

{
    "variables": {
        "myArray": ["apple", "banana", "orange"]
    },
    "actions": {
        "Convert_Array_To_Array": {
            "type": "SetVariable",
            "name": "myArrayFormatted",
            "value": "@array(variables('myArray'))"
        }
    }
}

In this example, we’re using the `array` function to convert the `myArray` variable into a format that’s acceptable by the Log Analytics Data Collector. The resulting array can then be sent to the Log Analytics Data Collector.

Pros and Cons

This method is more efficient than the previous two and allows you to maintain the original array structure. However, it requires a good understanding of the `array` function and its limitations.

Troubleshooting Tips and Tricks

Here are some additional tips and tricks to help you troubleshoot the issue:

• Check the data type of your array variable: Make sure it’s an array and not a string or object.
• Verify the JSON structure: Ensure that your JSON structure is correct and doesn’t contain any invalid property values.
• Use the `outputs` function: Use the `outputs` function to inspect the output of your Logic App and identify any issues.
• Test with a sample array: Test your Logic App with a sample array to isolate the issue.
• Check the Log Analytics Data Collector settings: Ensure that the Log Analytics Data Collector settings are configured correctly.

Conclusion

In conclusion, the Log Analytics Data Collector not accepting array variables is a common issue that can be resolved using one of the three solutions outlined above. By converting the array to a string, using the `json` function, or using the `array` function, you can successfully collect and analyze data from multiple sources or systems.

Remember to troubleshoot the issue using the tips and tricks outlined above and to test your Logic App thoroughly to ensure that it’s working as expected.

Happy coding, and may the Logic Apps be ever in your favor!

Solution	Description	Pros	Cons
Convert Array to String	Use the `join` function to convert the array to a string.	Easy to implement, straightforward	Not suitable for large arrays, loses original array structure
Use the `Json` Function	Use the `json` function to convert the array to a JSON string.	Flexible, maintains original array structure	Requires good understanding of JSON, not efficient for very large arrays
Use the `Array` Function	Use the `array` function to convert the array to a format acceptable by the Log Analytics Data Collector.	Efficient, maintains original array structure	Requires good understanding of the `array` function, limitations apply

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