---
description: >-
  OpenTofu must store state about your managed infrastructure and
  configuration. This state is used by OpenTofu to map real world resources to
  your configuration, keep track of metadata, and to improve performance for
  large infrastructures.
---

# Purpose of OpenTofu State

State is a necessary requirement for OpenTofu to function. It is often
asked if it is possible for OpenTofu to work without state, or for OpenTofu
to not use state and just inspect real world resources on every run. This page
will help explain why OpenTofu state is required.

As you'll see from the reasons below, state is required. And in the scenarios
where OpenTofu may be able to get away without state, doing so would require
shifting massive amounts of complexity from one place (state) to another place
(the replacement concept).

## Mapping to the Real World

OpenTofu requires some sort of database to map OpenTofu config to the real
world. For example, when you have a resource `resource "aws_instance" "foo"` in your
configuration, OpenTofu uses this mapping to know that the resource `resource "aws_instance" "foo"`
represents a real world object with the instance ID `i-abcd1234` on a remote system.

For some providers like AWS, OpenTofu could theoretically use something like
AWS tags. Early prototypes of OpenTofu actually had no state files and used
this method. However, we quickly ran into problems. The first major issue was
a simple one: not all resources support tags, and not all cloud providers
support tags.

Therefore, for mapping configuration to resources in the real world,
OpenTofu uses its own state structure.

OpenTofu expects that each remote object is bound to only one resource instance in the configuration.
If a remote object is bound to multiple resource instances, the mapping from configuration to the remote
object in the state becomes ambiguous, and OpenTofu may behave unexpectedly. OpenTofu can guarantee
a one-to-one mapping when it creates objects and records their identities in the state. 
When importing objects created outside of OpenTofu, you must make sure that each distinct object
is imported to only one resource instance.

## Metadata

Alongside the mappings between resources and remote objects, OpenTofu must
also track metadata such as resource dependencies.

OpenTofu typically uses the configuration to determine dependency order.
However, when you delete a resource from an OpenTofu configuration, OpenTofu
must know how to delete that resource from the remote system. OpenTofu can see that a mapping exists
in the state file for a resource not in your configuration and plan to destroy. However, since
the configuration no longer exists, the order cannot be determined from the
configuration alone.

To ensure correct operation, OpenTofu retains a copy of the most recent set
of dependencies within the state. Now OpenTofu can still determine the correct
order for destruction from the state when you delete one or more items from
the configuration.

One way to avoid this would be for OpenTofu to know a required ordering
between resource types. For example, OpenTofu could know that servers must be
deleted before the subnets they are a part of. The complexity for this approach
quickly explodes, however: in addition to OpenTofu having to understand the
ordering semantics of every resource for every _provider_, OpenTofu must also
understand the ordering _across providers_.

OpenTofu also stores other metadata for similar reasons, such as a pointer
to the provider configuration that was most recently used with the resource
in situations where multiple aliased providers are present.

## Performance

In addition to basic mapping, OpenTofu stores a cache of the attribute
values for all resources in the state. This is the most optional feature of
OpenTofu state and is done only as a performance improvement.

When running a `tofu plan`, OpenTofu must know the current state of
resources in order to effectively determine the changes that it needs to make
to reach your desired configuration.

For small infrastructures, OpenTofu can query your providers and sync the
latest attributes from all your resources. This is the default behavior
of OpenTofu: for every plan and apply, OpenTofu will sync all resources in
your state.

For larger infrastructures, querying every resource is too slow. Many cloud
providers do not provide APIs to query multiple resources at once, and the
round trip time for each resource is hundreds of milliseconds. On top of this,
cloud providers almost always have API rate limiting so OpenTofu can only
request a certain number of resources in a period of time. Larger users
of OpenTofu make heavy use of the `-refresh=false` flag as well as the
`-target` flag in order to work around this. In these scenarios, the cached
state is treated as the record of truth.

## Syncing

In the default configuration, OpenTofu stores the state in a file in the
current working directory where OpenTofu was run. This is okay for getting
started, but when using OpenTofu in a team it is important for everyone
to be working with the same state so that operations will be applied to the
same remote objects.

[Remote state](../../language/state/remote.mdx) is the recommended solution
to this problem. With a fully-featured state backend, OpenTofu can use
remote locking as a measure to avoid two or more different users accidentally
running OpenTofu at the same time, and thus ensure that each OpenTofu run
begins with the most recent updated state.
