```java
DocumentReader reader = new ESSourceReader(
    client,
    suggester.settings(),
    "contentIndexName",
    "contentTypeName");
suggester.indexer().indexFromDocument(reader, 2, 100).getResponse();
```

### Add suggest document from queryLog

```java
QueryLog queryLog = new QueryLog("field1:value1", null);
suggester.indexer().indexFromQueryLog(queryLog);

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
two parity drives, 100 MiB file takes only approximately 114 MiB.

		},
		ExpectedVars: []interface{}{100},
		Result:       "SUM(`id`) = ?",
	}, {
		Expressions: []clause.Expression{
			clause.Gte{Column: clause.Expr{SQL: "SUM(?)", Vars: []interface{}{clause.Column{Table: "users", Name: "id"}}}, Value: 100},
		},
		ExpectedVars: []interface{}{100},
		Result:       "SUM(`users`.`id`) >= ?",
	}}

## Sobre Pydantic

Pydantic incluí os testes para **FastAPI** em seus próprios testes, então as novas versões de Pydantic (acima da `1.0.0`) sempre serão compatíveis com FastAPI.

Você pode fixar qualquer versão de Pydantic que desejar, desde que seja acima da `1.0.0` e abaixo da `2.0.0`.

Por exemplo:

```txt
pydantic>=1.2.0,<2.0.0

	// update with map
	if res := DB.Model(users[0]).Updates(map[string]interface{}{"name": "updates_01_newname", "age": 100}); res.Error != nil || res.RowsAffected != 1 {
		t.Errorf("Failed to update users")
	}

	if users[0].Name != "updates_01_newname" || users[0].Age != 100 {
		t.Errorf("Record should be updated also with map")
	}

	if users[0].UpdatedAt.UnixNano() == lastUpdatedAt.UnixNano() {

	defer a.Free()

	tt := arena.New[T1](a)
	tt.n = 1

	ts := arena.MakeSlice[T1](a, 99, 100)
	if len(ts) != 99 {
		t.Errorf("Slice() len = %d, want 99", len(ts))
	}
	if cap(ts) != 100 {
		t.Errorf("Slice() cap = %d, want 100", cap(ts))
	}
	ts[1].n = 42
}

func TestSmokeLarge(t *testing.T) {
	a := arena.NewArena()
	defer a.Free()
	for i := 0; i < 10*64; i++ {
		_ = arena.New[T2](a)
	}

	})
	assertEqualSQL(t, `UPDATE "users" SET "name"='Foo',"age"=100 WHERE id = 100 AND "users"."deleted_at" IS NULL`, sql)

	// after model changed
	if DB.Statement.DryRun || DB.DryRun {
		t.Fatal("Failed expect DB.DryRun and DB.Statement.ToSQL to be false")
	}

	// UpdateColumns
	sql = DB.ToSQL(func(tx *gorm.DB) *gorm.DB {

      description: Include the output of `istioctl version`, `kubectl version --short`, and `helm version --short` (if you used Helm)
      placeholder: |
        $ istioctl version
        client version: 1.0.0
        control plane version: 1.0.0
        data plane version: 1.0.0 (100 proxies)
        $ kubectl version
        Client Version: v1.0.0
        Kustomize Version: v1.0.0
        Server Version: v1.0.0
      render: Text

        assertOrder(X_EQ_Y, "1.0-ga", "1.0.0-ga");
        assertOrder(X_EQ_Y, "1.0.ga", "1.0.0.ga");
        assertOrder(X_EQ_Y, "1.0ga", "1.0.0ga");

        assertOrder(X_EQ_Y, "1.0-alpha", "1.0.0-alpha");
        assertOrder(X_EQ_Y, "1.0.alpha", "1.0.0.alpha");
        assertOrder(X_EQ_Y, "1.0alpha", "1.0.0alpha");
        assertOrder(X_EQ_Y, "1.0-alpha-snapshot", "1.0.0-alpha-snapshot");

    return db_hero


@app.get("/heroes/", response_model=List[HeroPublic])
def read_heroes(
    session: Session = Depends(get_session),
    offset: int = 0,
    limit: int = Query(default=100, le=100),
):
    heroes = session.exec(select(Hero).offset(offset).limit(limit)).all()
    return heroes


@app.get("/heroes/{hero_id}", response_model=HeroPublic)