}
            ]
          }
        ]
      },
      "gridPos": {
        "h": 6,
        "w": 6,
        "x": 12,
        "y": 12
      },
      "id": 65,
      "options": {
        "legend": {
          "calcs": [],
          "displayMode": "list",
          "placement": "bottom",
          "showLegend": true
        },
        "tooltip": {

	VPROLD $65, Z21, K7, Z14                           // 62b10d4f72cd41
	VPROLD $65, Z8, K7, Z14                            // 62d10d4f72c841
	VPROLD $65, 7(SI)(DI*8), K7, Z14                   // 62f10d4f728cfe0700000041
	VPROLD $65, -15(R14), K7, Z14                      // 62d10d4f728ef1ffffff41
	VPROLD $65, Z21, K7, Z15                           // 62b1054f72cd41

    of our effort to remove the okhttp-tls module's dependency on Bouncy Castle. We think Bouncy
    Castle is great! But it's a large dependency (6.5 MiB) and its security provider feature
    impacts VM-wide behavior.

 *  New: Reduce contention for applications that make a very high number of concurrent requests.

///

### 用 `HeroPublic` 读取 Hero

我们可以像之前一样**读取** `Hero` 。同样，使用 `response_model=list[HeroPublic]` 确保正确地验证和序列化数据。

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[65:72] hl[65] *}

### 用 `HeroPublic` 读取单个 Hero

我们可以**读取**单个 `hero` 。

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[75:80] hl[77] *}

### 用 `HeroUpdate` 更新单个 Hero

pkg debug/dwarf, const TagSharedType = 64
pkg debug/dwarf, const TagSharedType Tag
pkg debug/dwarf, const TagTemplateAlias = 67
pkg debug/dwarf, const TagTemplateAlias Tag
pkg debug/dwarf, const TagTypeUnit = 65
pkg debug/dwarf, const TagTypeUnit Tag
pkg debug/dwarf, method (*Data) AddTypes(string, []uint8) error
pkg debug/macho, const CpuArm = 12
pkg debug/macho, const CpuArm Cpu
pkg debug/macho, const CpuPpc = 18

pkg debug/dwarf, const AttrEntrypc = 82
pkg debug/dwarf, const AttrExtension = 84
pkg debug/dwarf, const AttrExternal = 63
pkg debug/dwarf, const AttrFrameBase = 64
pkg debug/dwarf, const AttrFriend = 65
pkg debug/dwarf, const AttrHighpc = 18
pkg debug/dwarf, const AttrIdentifierCase = 66
pkg debug/dwarf, const AttrImport = 24
pkg debug/dwarf, const AttrInline = 32
pkg debug/dwarf, const AttrIsOptional = 33

              }
            ]
          }
        ]
      },
      "gridPos": {
        "h": 6,
        "w": 6,
        "x": 0,
        "y": 12
      },
      "id": 65,
      "options": {
        "legend": {
          "calcs": [],
          "displayMode": "list",
          "placement": "bottom",
          "showLegend": true
        },
        "tooltip": {

///

### `HeroPublic`으로 Heroes 조회하기

이전과 동일하게 `Hero`를 **조회**할 수 있습니다. 이번에도 `response_model=list[HeroPublic]`을 사용하여 데이터가 올바르게 검증되고 직렬화되도록 보장합니다.

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[65:72] hl[65] *}

### `HeroPublic`으로 단일 Hero 조회하기

단일 hero을 **조회**할 수도 있습니다:

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[75:80] hl[77] *}

### `HeroUpdate`로 Hero 수정하기

func biggestZipBytes() []byte {
	s := `
0000000 50 4b 03 04 14 00 08 00 08 00 00 00 00 00 00 00
0000010 00 00 00 00 00 00 00 00 00 00 0a 00 00 00 62 69
0000020 67 67 65 72 2e 7a 69 70 ec dc 6b 4c 53 67 18 07
0000030 f0 16 c5 ca 65 2e cb b8 94 20 61 1f 44 33 c7 cd
0000040 c0 86 4a b5 c0 62 8a 61 05 c6 cd 91 b2 54 8c 1b
0000050 63 8b 03 9c 1b 95 52 5a e3 a0 19 6c b2 05 59 44
0000060 64 9d 73 83 71 11 46 61 14 b9 1d 14 09 4a c3 60

          },
          "unit": "bytes"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 3,
        "w": 3,
        "x": 3,
        "y": 0
      },
      "id": 65,
      "maxDataPoints": 100,
      "options": {
        "colorMode": "value",
        "graphMode": "area",
        "justifyMode": "auto",
        "orientation": "auto",
        "reduceOptions": {