})
        }
        .reduce { acc, next ->
            acc.zip(next) { left, right ->
                when {
                    !left.isPresent -> right
                    !right.isPresent -> left
                    else -> Optional.of(combiner(left.get(), right.get()))
                }
            }
        }
        .map { it.orElse(null) }

1. Click **Saved Objects**.
1. Click **Import** and select "fess\_log.ndjson" to import example settings.
1. Click **Dashboard**.
1. Select "fess\_log" dashboard.
1. (Change the period from upper right if you want to do.)
## FAQ

#### Q. Kibana can't connect Elasticsearch.

A. Please check `${KIBANA_HOME}/config/kibana.yml` and set correct Elasticsearch URL.

Example:
```

				<a href="#" class="nav-link <c:if test="${param.menuCategoryType=='system'}">active</c:if>">
					<i class='nav-icon fa fa-laptop' aria-hidden="true"></i>
					<p>
						<la:message key="labels.menu_system" />
						<i class="right fas fa-angle-left"></i>
					</p>
				</a>
				<ul class="nav nav-treeview">
					<c:if test="${fe:permission('admin-wizard-view')}">
					<li class="nav-item">

                            <la:message key="labels.dict_mapping_title"/>
                        </h1>
                    </div>
                    <div class="col-sm-6">
                        <ol class="breadcrumb float-sm-right">
                            <li class="breadcrumb-item"><la:link href="/admin/dict">
                                <la:message key="labels.dict_list_link"/>
                            </la:link></li>

package clause

import "gorm.io/gorm/utils"

type JoinType string

const (
	CrossJoin JoinType = "CROSS"
	InnerJoin JoinType = "INNER"
	LeftJoin  JoinType = "LEFT"
	RightJoin JoinType = "RIGHT"
)

type JoinTarget struct {
	Type        JoinType
	Association string
	Subquery    Expression
	Table       string
}

func Has(name string) JoinTarget {
	return JoinTarget{Type: InnerJoin, Association: name}
}

<%@page pageEncoding="UTF-8" contentType="text/html; charset=UTF-8"%>
<ol class="breadcrumb float-sm-right">
	<c:if test="${crudMode == null}">
		<li class="breadcrumb-item active"><la:message key="labels.crud_link_list" /></li>
	</c:if>
	<c:if test="${crudMode != null}">
		<li class="breadcrumb-item"><la:link href="../list">
				<la:message key="labels.crud_link_list" />
			</la:link></li>
	</c:if>
	<c:if test="${crudMode == 1}">

                            <la:message key="labels.dict_protwords_title"/>
                        </h1>
                    </div>
                    <div class="col-sm-6">
                        <ol class="breadcrumb float-sm-right">
                            <li class="breadcrumb-item"><la:link href="/admin/dict">
                                <la:message key="labels.dict_list_link"/>
                            </la:link></li>

    INSTANCE;

    @Override
    public int compare(float[] left, float[] right) {
      int minLength = Math.min(left.length, right.length);
      for (int i = 0; i < minLength; i++) {
        int result = Float.compare(left[i], right[i]);
        if (result != 0) {
          return result;
        }
      }
      return left.length - right.length;
    }

    @Override
    public String toString() {

redundancy or better drive space utilization.

To get an idea of how various combinations of data and parity drives affect the storage usage, let’s take an example of a 100 MiB file stored
on 16 drive MinIO deployment. If you use eight data and eight parity drives, the file space usage will be approximately twice, i.e. 100 MiB
file will take 200 MiB space. But, if you use ten data and six parity drives, same 100 MiB file takes around 160 MiB. If you use 14 data and

#### Backup Office 365 with VBO

- Create a new bucket for VBO backups

```
mc mb -l myminio/vbo
```

- Under Backup Infrastructure, right click on Object Storage Repositories and choose "Add object storage"

![Adding Object Storage to VBO Step 1](https://raw.githubusercontent.com/minio/minio/master/docs/integrations/veeam/screenshots/1_add_object_store.png)