InputStream bin = new ByteArrayInputStream(big);
    InputStream lin = ByteStreams.limit(bin, 2);

    IOException expected = assertThrows(IOException.class, lin::reset);
    assertThat(expected).hasMessageThat().isEqualTo("Mark not set");
  }

  public void testLimit_markNotSupported() {
    InputStream lin = ByteStreams.limit(new UnmarkableInputStream(), 2);

    /** The key of the configuration. e.g. 60 */
    String RATE_LIMIT_RETRY_AFTER_SECONDS = "rate.limit.retry.after.seconds";

    /** The key of the configuration. e.g. 127.0.0.1,::1 */
    String RATE_LIMIT_WHITELIST_IPS = "rate.limit.whitelist.ips";

    /** The key of the configuration. e.g.  */
    String RATE_LIMIT_BLOCKED_IPS = "rate.limit.blocked.ips";

   *
   * <p>Note that the cache <b>may evict an entry before this limit is exceeded</b>. For example, in
   * the current implementation, when {@code concurrencyLevel} is greater than {@code 1}, each
   * resulting segment inside the cache <i>independently</i> limits its own size to approximately
   * {@code maximumSize / concurrencyLevel}.
   *

        "stopwords": "_english_"
      },
      "content_length_filter": {
        "type": "length",
        "max": 30
      },
      "limit_token_count_filter": {
        "type": "limit",
        "max_token_count": 2147483647
      },
      "stemmer_en_filter": {
        "type": "stemmer",
        "name": "english"
      },
      "arabic_stop": {
        "type":       "stop",

        "stopwords": "_english_"
      },
      "content_length_filter": {
        "type": "length",
        "max": 30
      },
      "limit_token_count_filter": {
        "type": "limit",
        "max_token_count": 2147483647
      },
      "stemmer_en_filter": {
        "type": "stemmer",
        "name": "english"
      },
      "arabic_stop": {
        "type":       "stop",

    InputStream bin = new ByteArrayInputStream(big);
    InputStream lin = ByteStreams.limit(bin, 2);

    IOException expected = assertThrows(IOException.class, lin::reset);
    assertThat(expected).hasMessageThat().isEqualTo("Mark not set");
  }

  public void testLimit_markNotSupported() {
    InputStream lin = ByteStreams.limit(new UnmarkableInputStream(), 2);

			case madmin.HealthCheckDurationUpdateType:
				tgt.HealthCheckDuration = target.HealthCheckDuration
			}
		}
		target = tgt
	}

	// enforce minimum bandwidth limit as 100MBps
	if target.BandwidthLimit > 0 && target.BandwidthLimit < 100*1000*1000 {
		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErrWithErr(ErrReplicationBandwidthLimitError, err), r.URL)
		return
	}

		HTTPStatusCode: http.StatusServiceUnavailable,
	},
	ErrMaxVersionsExceeded: {
		Code:           "MaxVersionsExceeded",
		Description:    "You've exceeded the limit on the number of versions you can create on this object",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrInvalidPrefixMarker: {
		Code:           "InvalidPrefixMarker",

這裡我們使用 `SessionDep` 依賴（即一個 `Session`），把新的 `Hero` 加入 `Session` 實例，提交變更到資料庫，刷新 `hero` 的資料，然後回傳它。

### 讀取多個 Hero { #read-heroes }

我們可以用 `select()` 從資料庫「讀取」多個 `Hero`。可以加入 `limit` 與 `offset` 來分頁。

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[48:55] hl[51:52,54] *}

### 讀取單一 Hero { #read-one-hero }

我們可以「讀取」單一的 `Hero`。

  The possibility of borrowing means that the old metric `apiserver_flowcontrol_request_concurrency_limit` can no longer mean both the configured concurrency limit and the enforced concurrency limit. Henceforth it means the configured concurrency limit.' ([#113485](https://github.com/kubernetes/kubernetes/pull/113485), [@MikeSpreitzer](https://github.com/MikeSpreitzer))