}

  /**
   * Returns the number of times {@link Cache} lookup methods have returned an uncached (newly
   * loaded) value, or null. Multiple concurrent calls to {@link Cache} lookup methods on an absent
   * value can result in multiple misses, all returning the results of a single cache load
   * operation.
   */
  public long missCount() {
    return missCount;
  }

  /**

They tend to require more complex configurations, a message/job queue manager, like RabbitMQ or Redis, but they allow you to run background tasks in multiple processes, and especially, in multiple servers.

To see an example, check the [Project Generators](../project-generation.md){.internal-link target=_blank}, they all include Celery already configured.

MinIO in distributed mode lets you pool multiple drives (even on different machines) into a single object storage server. As drives are distributed across several nodes, distributed MinIO can withstand multiple node failures and yet ensure full data protection.

## Why distributed MinIO?

////

### Example in the docs UI

With any of the methods above it would look like this in the `/docs`:

<img src="/img/tutorial/body-fields/image01.png">

### `Body` with multiple `examples`

You can of course also pass multiple `examples`:

//// tab | Python 3.10+

```Python hl_lines="23-38"
{!> ../../docs_src/schema_extra_example/tutorial004_an_py310.py!}
```

////

//// tab | Python 3.9+

import java.util.Set;

/**
 * Filter to only retain objects in the given scope or better. This implementation allows the accumulation of multiple
 * scopes and their associated implied scopes, so that the user can filter apply a series of implication rules in a
 * single step. This should be a more efficient implementation of multiple standard {@link ScopeArtifactFilter}
 * instances ORed together.
 *
 */

                            "title": "Files",
                            "type": "array",
                            "items": {"type": "string", "format": "binary"},
                            "description": "Multiple files as bytes",
                        }
                    },
                },
                "Body_create_upload_files_uploadfiles__post": {

    validations:
      required: true

  - type: dropdown
    attributes:
      label: Packages
      description: If this issue is package-specific, then please select the relevant packages.
      multiple: true
      options:
        - com.google.common.annotations
        - com.google.common.base
        - com.google.common.cache
        - com.google.common.collect
        - com.google.common.escape

///

## Query parameter list / multiple values

When you define a query parameter explicitly with `Query` you can also declare it to receive a list of values, or said in another way, to receive multiple values.

For example, to declare a query parameter `q` that can appear multiple times in the URL, you can write:

//// tab | Python 3.10+

```Python hl_lines="9"

		},
		{ // Filter without And and multiple Tag tags
			inputXML: ` <Filter>
							<Prefix>key-prefix</Prefix>
							<Tag>
								<Key>key1</Key>
								<Value>value1</Value>
							</Tag>
							<Tag>
								<Key>key2</Key>
								<Value>value2</Value>
							</Tag>
						</Filter>`,
			expectedErr: errInvalidFilter,
		},
		{ // Filter with And, Prefix & multiple Tag tags
			inputXML: ` <Filter>

      Integer uid = uids.get(obj);
      if (uid == null) {
        // One or more integer values could be skipped in the event of a race
        // to generate a UID for the same object from multiple threads, but
        // that shouldn't be a problem.
        uid = counter.getAndIncrement();
        Integer alreadySet = uids.putIfAbsent(obj, uid);
        if (alreadySet != null) {
          uid = alreadySet;