# How can I reduce memory usage of my task?

{% hint style="info" %}
Instant fixes are hard to come by for this kind of problem. If you need help with your task code, [here's where to find assistance](/custom-help.md).
{% endhint %}

Memory efficiency is a dynamic problem. Here are some tips for task code when memory constraints become a factor.

## Look for loops.

Any time a data set is iterated upon, any memory inefficiencies within the loop have a chance to be multiplied in severity.

## Look for large assignments.

Remember that Liquid variable assignments (i.e. any use of the [assign tag](/platform/liquid/tags/assign.md)) are always by value, not by reference. This can lead to surprise memory exhaustion with large values. Check on your assignments, concatenations, captures, etc.

## Look for opportunities to split up the work.

A single task run has a limited amount of memory available to it, but you can generate as many task runs as you like. If you need to "fork" into multiple task runs, use [Event actions](/core/actions/event.md) to create events with just enough data to create multiple tightly-scoped task runs.

## Consider bulk operations.

Task runs responding to [mechanic/shopify/bulk\_operation](/core/shopify/bulk-operations.md) are allocated more memory than regular task runs. If you aren't already using one, consider whether your use case could be achieved using a bulk operation.


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