이러한 문제를 해결하기 위해 몇 가지 **추가 모델**을 추가할 것입니다. 바로 여기서 SQLModel이 빛을 발하게 됩니다. ✨

### 여러 모델 생성하기

**SQLModel**에서 `table=True`가 설정된 모델 클래스는 **테이블 모델**입니다.

`table=True`가 없는 모델 클래스는 **데이터 모델**로, 이는 실제로 몇 가지 추가 기능이 포함된 Pydantic 모델에 불과합니다. 🤓

SQLModel을 사용하면 **상속**을 통해 모든 경우에 필드를 **중복 선언하지 않아도** 됩니다.

#### `HeroBase` - 기본 클래스

    val response1 = responses.take()
    assertThat(response1).isEqualTo("")
    assertThat(server.takeRequest().exchangeIndex).isEqualTo(0)

    // Now make the second request which will restrict the first HTTP/2 connection from creating new
    // streams.
    client.newCall(request).enqueue(callback)
    val response2 = responses.take()
    assertThat(response2).isEqualTo("DEF")

        return doFindEpg(_epgMap, prop);
    }

    // ===================================================================================
    //                                                                          Table Info
    //                                                                          ==========
    protected final String _tableDbName = "related_content";
    protected final String _tableDispName = "related_content";

        out.println("<b><a class=\"plain\" href=\".\">normal</a> | <a class=\"plain\" href=\"?fmt=detail\">detailed</a></b>");
        out.println("<p><table border='0' cellspacing='0' cellpadding='0'><tr><td>");

        out.print("<A style=\"width: " + maxLen);
        out.print("; height: 18;\" HREF=\"");
        out.print(path);
        out.println("\"><b>&uarr;</b></a>");

    throw new NoSuchMethodError(methodName);
  }

  @Override
  public void run() {
    assertSame(this, Thread.currentThread());
    try {
      while (true) {
        Request request = requestQueue.take();
        Object result;
        try {
          result = invokeMethod(request.methodName, request.arguments);
        } catch (ThreadDeath death) {
          return;

The same models are shared among requests, so, it's not one model per request, or one per user or something similar.

Let's imagine that loading the model can **take quite some time**, because it has to read a lot of **data from disk**. So you don't want to do it for every request.

            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "max(minio_node_drive_total{job=~\"$scrape_jobs\",server=\"$server\"})",
          "format": "table",
          "hide": false,
          "instant": true,
          "interval": "",
          "intervalFactor": 1,
          "legendFormat": "",
          "metric": "process_start_time_seconds",

- This PR will leverage subtests on the existing table tests for the scheduler units. ([#63665](https://github.com/kubernetes/kubernetes/pull/63665), [@xchapter7x](https://github.com/xchapter7x))
- This PR will leverage subtests on the existing table tests for the scheduler units. ([#63666](https://github.com/kubernetes/kubernetes/pull/63666), [@xchapter7x](https://github.com/xchapter7x))

import com.google.common.collect.SetMultimap;
import com.google.common.collect.SortedMapDifference;
import com.google.common.collect.SortedMultiset;
import com.google.common.collect.SortedSetMultimap;
import com.google.common.collect.Table;
import com.google.common.io.ByteSink;
import com.google.common.io.ByteSource;
import com.google.common.io.CharSink;
import com.google.common.io.CharSource;
import com.google.common.primitives.UnsignedInteger;

        out.println("<b><a class=\"plain\" href=\".\">normal</a> | <a class=\"plain\" href=\"?fmt=detail\">detailed</a></b>");
        out.println("<p><table border='0' cellspacing='0' cellpadding='0'><tr><td>");

        out.print("<A style=\"width: " + maxLen);
        out.print("; height: 18;\" HREF=\"");
        out.print(path);
        out.println("\"><b>&uarr;</b></a>");