// time when fresh disks were supplied, it is a two dimensional
		// array second dimension represents list of disks used per set.
		Sets [][]string `json:"sets"`
		// Distribution algorithm represents the hashing algorithm
		// to pick the right set index for an object.
		DistributionAlgo string `json:"distributionAlgo"`
	} `json:"xl"`
}

import org.opensearch.search.SearchHit;
import org.opensearch.search.SearchHits;
import org.opensearch.search.sort.SortBuilder;

import com.google.common.hash.HashFunction;
import com.google.common.hash.Hashing;

import jakarta.annotation.Resource;

/**
 * Abstract base class for crawler services that interact with OpenSearch.
 *
 * @author shinsuke
 *
 */
public abstract class AbstractCrawlerService {

> **NOTE:** **Each pool you add must have the same erasure coding parity configuration as the original pool, so the same data redundancy SLA is maintained.**

## 3. Test your setup

书接上文，多个关联模型这种情况很常见。

特别是用户模型，因为：

* **输入模型**应该含密码
* **输出模型**不应含密码
* **数据库模型**需要加密的密码

/// danger | 危险

千万不要存储用户的明文密码。始终存储可以进行验证的**安全哈希值**。

如果不了解这方面的知识，请参阅[安全性中的章节](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}，了解什么是**密码哈希**。

///

## 多个模型

下面的代码展示了不同模型处理密码字段的方式，及使用位置的大致思路：

{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}

Wenn Sie nicht wissen, was das ist, werden Sie in den [Sicherheitskapiteln](security/simple-oauth2.md#password-hashing){.internal-link target=_blank} lernen, was ein „Passworthash“ ist.

///

## Mehrere Modelle { #multiple-models }

Никогда не храните пароли пользователей в чистом виде. Всегда храните "безопасный хэш", который вы затем сможете проверить.

Если вам это не знакомо, вы можете узнать про "хэш пароля" в [главах о безопасности](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.

///

## Множественные модели { #multiple-models }

Ниже изложена основная идея того, как могут выглядеть эти модели с полями для паролей, а также описаны места, где они используются:

      LinkedHashMultimap<String, Integer>.ValueSet valueSet =
          (LinkedHashMultimap.ValueSet) multimap.backingMap().get("a");
      assertEquals(z, valueSet.size());
      assertFalse(
          Hashing.needsResizing(
              valueSet.size(),
              valueSet.hashTable.length,
              LinkedHashMultimap.VALUE_SET_LOAD_FACTOR));
    }
  }

Nunca armazene senhas em texto simples dos usuários. Sempre armazene uma "hash segura" que você pode verificar depois.

Se não souber, você aprenderá o que é uma "senha hash" nos [capítulos de segurança](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.

///

## Múltiplos modelos { #multiple-models }

Aqui está uma ideia geral de como os modelos poderiam parecer com seus campos de senha e os lugares onde são usados:

* **데이터베이스 모델** 은 해시처리된 비밀번호를 가질 것입니다.

/// danger | 위험

절대 사용자의 비밀번호를 평문으로 저장하지 마세요. 항상 이후에 검증 가능한 "안전한 해시(secure hash)"로 저장하세요.

만약 이게 무엇인지 모르겠다면, [security chapters](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.에서 비밀번호 해시에 대해 배울 수 있습니다.

///

## 다중 모델

아래는 비밀번호 필드와 해당 필드가 사용되는 위치를 포함하여, 각 모델들이 어떤 형태를 가질 수 있는지 전반적인 예시입니다:

For OAuth2 they are just strings.

///

## Global view { #global-view }

First, let's quickly see the parts that change from the examples in the main **Tutorial - User Guide** for [OAuth2 with Password (and hashing), Bearer with JWT tokens](../../tutorial/security/oauth2-jwt.md){.internal-link target=_blank}. Now using OAuth2 scopes:

{* ../../docs_src/security/tutorial005_an_py310.py hl[5,9,13,47,65,106,108:116,122:126,130:136,141,157] *}