suggester.indexer()
    .indexFromDocument(reader, 2, 100)  // threads=2, batch=100
    .getResponse();
```

### Index from Query Logs

```java
import org.codelibs.fess.suggest.index.contents.querylog.QueryLog;

// Add suggestions from search query logs
QueryLog queryLog = new QueryLog("user search query", "user123");
suggester.indexer().indexFromQueryLog(queryLog);
```

### Popular Words Analytics

```java

import org.opensearch.action.search.SearchRequestBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.sort.SortOrder;

import jakarta.annotation.PostConstruct;
import jakarta.annotation.PreDestroy;
import jakarta.annotation.Resource;

/**
 * IndexUpdater is responsible for updating the search index with crawled document data.

        private int maxEmptyListCount = 10;

        @Override
        public Integer getIndexerWebfsUpdateIntervalAsInteger() {
            return 100;
        }

        @Override
        public Integer getIndexerWebfsMaxEmptyListCountAsInteger() {
            return maxEmptyListCount;
        }

        @Override
        public Integer getIndexerWebfsMaxDocumentCacheSizeAsInteger() {
            return 100;
        }

# TODO(b/173549186): Move Google-internal TF code out of learning/brain
package_group(
    name = "internal",
    packages = [
        "//devtools/python/indexer/...",
        "//learning/brain/keras/...",
        "//learning/brain/mlir/...",
        "//learning/brain/tfrt/...",
        "//learning/lib/ami/simple_ml/...",
        "//learning/pathways/...",

    * Diese automatische Erkennung ist es, die in der OpenID Connect Spezifikation definiert ist.


/// tip | Tipp

Auch die Integration anderer Authentifizierungs-/Autorisierungsanbieter wie Google, Facebook, X (Twitter), GitHub, usw. ist möglich und relativ einfach.

)

// a bucketMetacache keeps track of all caches generated
// for a bucket.
type bucketMetacache struct {
	// Name of bucket
	bucket string

	// caches indexed by id.
	caches map[string]metacache
	// cache ids indexed by root paths
	cachesRoot map[string][]string `msg:"-"`

	// Internal state
	mu      sync.RWMutex `msg:"-"`
	updated bool         `msg:"-"`
}

type deleteAllStorager interface {

![Swagger UI](https://fastapi.tiangolo.com/img/index/index-03-swagger-02.png)

* 🖊 🔛 🔼 "🔄 ⚫️ 👅", ⚫️ ✔ 👆 🥧 🔢 & 🔗 🔗 ⏮️ 🛠️:

![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-04-swagger-03.png)

* ⤴️ 🖊 🔛 "🛠️" 🔼, 👩‍💻 🔢 🔜 🔗 ⏮️ 👆 🛠️, 📨 🔢, 🤚 🏁 & 🎦 👫 🔛 🖥:

![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-05-swagger-04.png)

### 🎛 🛠️ 🩺 ♻

-   התיעוד האוטומטי יתעדכן, כולל הגוף החדש:

![Swagger UI](https://fastapi.tiangolo.com/img/index/index-03-swagger-02.png)

-   לחצו על הכפתור "Try it out", הוא יאפשר לכם למלא את הפרמטרים ולעבוד ישירות מול ה - API.

![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-04-swagger-03.png)

![Swagger UI](https://fastapi.tiangolo.com/img/index/index-03-swagger-02.png)

- "Try it out" বাটনে চাপুন, এটি আপনাকে পেরামিটারগুলো পূরণ করতে এবং API এর সাথে সরাসরি ক্রিয়া-কলাপ করতে দিবে:

![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-04-swagger-03.png)

![Swagger UI](https://fastapi.tiangolo.com/img/index/index-03-swagger-02.png)

* Kattints rá a "Try it out" gombra, ennek segítségével kitöltheted a paramétereket és közvetlen használhatod az API-t:

![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-04-swagger-03.png)