【17.0.10】workBook.toJSON()得到的的数据体积太大

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本帖最后由 Universail 于 2024-6-17 15:47 编辑

执行 workBook.toJSON() 后，得到的json数据，体积特别大。

前提：数据必须保存到数据库中，所以不能接受本地导出为文件保存的方案

所有，基于上述前提的条件下，有啥办法减少数据体积？

Joestar.Xu · Joestar.Xu

您好，推荐您使用sjs来导入导出，参考链接：https://demo.grapecity.com.cn/sp ... %8C%87%E5%8D%97#sjs

Universail · Universail

Joestar.Xu 发表于 2024-6-17 17:57
您好，推荐您使用sjs来导入导出，参考链接：https://demo.grapecity.com.cn/spreadjs/help/docs/faqs/file- ...

保存到数据库是byte[]类型，返回给前端怎么重新使用呢？我这边客户不能接受文件导入导出，所以请不要给文件导入导出的建议

Universail · Universail

使用save()会得到一个blob对象，这个对象怎么发送给后端呢，后端是golang写的，接口定义是：
export interface ISaveSpreadStateReq {
  master: {
/** @format string */
id: string;
  };

  spread: {
/** @format string */
id: string;

/** @format binary */
state: any;//这个用来接收save结果

/** @format int */
updated_tick: number;
  };
}

Joestar.Xu · Joestar.Xu

本帖最后由 Joestar.Xu 于 2024-6-18 11:47 编辑

您好，我写了个简单的Demo，后端使用Nodejs，您可以参考一下。

go语言我这边没有接触过，无法为您提供参考。

表格结构如下：

image.png925677490.png

Universail · Universail

Joestar.Xu 发表于 2024-6-18 11:45
您好，我写了个简单的Demo，后端使用Nodejs，您可以参考一下。

go语言我这边没有接触过，无法为您提供参 ...

我想到另外一个方式，调用两次，第一次把Blob转为File，然后完成文件上传，返回临时文件的路径，第二次调用写入数据库的接口，读取文件存入数据库

Joestar.Xu · Joestar.Xu

这个方法也是可以的

Universail · Universail

本帖最后由 Universail 于 2024-6-18 16:23 编辑

Joestar.Xu 发表于 2024-6-18 14:44
这个方法也是可以的

遇到新问题了，上传成功，读取文件内容，直接以二进制保存文件到数据库，再读取出来发送到前端，前端识别不了
前端接收到的二进制字符串是这样：

image.png27976378.png

我通过这种方式载入，报错了：
const workBook = this.designer!.getWorkbook() as GC.Spread.Sheets.Workbook;

const blob = new Blob([二进制字符串, { type: "application/zip" });

workBook.open(
  blob,
  () => {
this.addCustomFunction(workBook);
workBook.resumeCalcService();
workBook.resumePaint();
  },
  (err) => {
printError(err);
  },
);

image.png930360412.png

Joestar.Xu · Joestar.Xu

您提供一下这个Base64字符串，我本地测试看看。

Universail · Universail

本帖最后由 Universail 于 2024-6-18 18:37 编辑

Joestar.Xu 发表于 2024-6-18 18:15
您提供一下这个Base64字符串，我本地测试看看。

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**IHUEmnQAH8q9OQJr81J2mwf/Hz/3zTuwx/0exCtrTZkGtZZCzJBGQkZmOU6aN05ZvmqBQKIUh7w16Hx7xFW1ixipHFx8MlgWZtraTsdshqRKvlSt1D4QFg0yO/hTgeg3inqmJu7mANTFTPZ6qEfDoREBBxNNhn9IaPS91qIMHWSjjUYy2ntfOHLiek4ug7FoU0Hq8VtvxFOjeKlsiSAAB31tlND8tVcbkQM4O81ohtw2EoAbdSj/j0GnkNFpWsb8kNOTYKc27Nu+zWvbpHDYm5fkg4mCHX1Xd/H0V10Vcb2HXkZTnhzBvX98F4Jav/PQz77v78BdNVDH6b9FE3r7STSjYtjZBPaiYG3l87LMKa+WPqEG7rU0R/4I/IlceNyp7UCUez5Lk/bF7BTO8dlg2N3ZRbEz5Mv6ccPxIOcZu4ycTN1xhjUsKfQrnlD9B13Wxef8vhKPNpS3IB4J7gLfTL0nFjuli+iypgNLp3GgbsTMyoUHAlet3s3QmfhmX36Bvujt0rDNlLqagvuGC7wM5/UyWX3s7AYWjZ7TBtBheWBuVPQTQcYR9IqOzJ5CzPdsXqzn+zUGP1ahBdWZ0aUGeCHgctmFYvlZGgK7xOgoYZkwcH+M42K/cWcv0Gbe9HpN2O+tM/Pfupc1xC/L3tyL2fMoY2oSpfPOIrjC0GRXLjG7OSbl8IpQMDM8cqpui8MiB5DBrxunS7VG5016vzVSDicaBvRP73QTypRuEAgk3RaEzhBi63z1ozIoVo++v+709tTyUsa3tTstOgGqZrtGVsUDTIU6hCTv0eqVcmGdDiXuIENI49Oge8Yv1bROmDeaLcHdpVDkMvlhD1eBb4d6qpi910Ai3jRuycVigQ5vhKoj7UdVjKjkW2mI+WCI5p7PqTpkWg1ZnzqmnHmMYtUn3A3J8qbaPAwAAHQgAAFBLAwQUAAgICADkktJYAAAAAAAAAAAAAAAADQAtAHdvcmtib29rLmpzb25VVAUAAQ1gcWYKACAAAAAAAAEAGADQOvaDacHaAdA69oNpwdoB0Dr2g2nB2gHtnEuP47iWoP9KQnfpqNTLDzmAXlCyJMuyZOttu1AI6EHJst4vS3IhgQYGs+jezHaAmVnMrv9Y3+mfMZAdUZWRVX0na25doLIgIRAWD8nDQx2RhyY/+EckfUGekTYrIyfLIuQJcV+Q5+9/fIgHkRnCtvpC/lZ8yEOekNp2VLsOM+R5hmGffvj09FqsOkNYf1n3LkSekPI59JBnpBQ8HHlCUjuByDOiDZlD+l5K8JBn/AmJs6qKYVUhzz8OTWkwhm4Nh8o48umz5lw7dvfl0Jwdu0Nd7AkJa1jaNbzreb1nsiatkWccw37OX8G4tpFn7COGf/rhfYtXWFZhlg63fhhDE5ZDwx8x5AnJy0x+2F1dqkf6NXvxEfuIY8inJ6SEQ9c8re5jWEl2jjz/OEhD92zacQNXdm2DsrR75Pn7H56Qyi2zOHbsUrI7EIdBijzXZQOfEDuOs3bVp3YSuq/lHxluU9VZsg2r+qHBg77dxPX9Qeq282j30ejdkL1d17BMX0WP2lyTunWY3YWI8dEEW4Mdbl+d8iZ5QpIwBWVQ3Z9mYnev98snpO5zKH9ZuoTFUOLnTsNiX2ZJWMFX0acnxPh4pN81daQ/bwf7vJ0vmjnSyF3BXnunYK/9ZwqwLxTcSwZx5tjxLq9ffZzAtLl/2lU9+PJHxM28ofzwnpd2WsX2W9Hb+YWRh5sw9WBav8qx4T2Aftjdc9wsfXk1jbFLJ0uN1IN+mEIPeXrkulmclQ/993QV3iDyjH0aXFm5Zfhq2ZBfNf4v9Q5O/5uKPj0hMH0xtG/C0ov9stl/A5Z+ekKcJozrMEWefTuu4KAph2U4FE+bOH5C7tOb9KLtmPtgyNqXtEmc4Z3CnhA7CMrQe8nt0k7uw67M2rsR3qM1z67tl9yuz6/GVC/VfdqznRi+Df1qGNuPN/Rh5V+w+4U8IY7tRkGZNanHvOX59wt5QvwsrbV7P5AqseP4VWTBMDjXyDOSZmViv0m1RxtvwnvH3RLaNfRenP5h61vaHmrjywX2HYZ/h+E6hj3f/z5iGHZCnpAm997Ve0t/bb06dKPHKP55HL5OfD8iERy0Pobk0P8KfhNv0ZvhjxH6DRr+GLDfjuE/DHEohnYFX36K7EOxKEyHoeeUL34We/CxjKhhkJVDL90sre0wvYvLrKlfA4J9D5svWf4aPYf2iwaW/UsJiwY+IshjNihhnpX1iwere1R/CKvaTj279F6SzIPxm9QOwhi+PCq8yaDvQ3cYJ/eFADIMw3sx9bXUrwSs14nn7wtaQpbKsK1yO7/3/d3D/QsOSW+BvX/GOPELb/31X/75r//zX/7jn//rX//Xf/k//+Nf//2//fd//9d/+4///W9f7cW/4HDhE180tPz/CGy/R2+02q5hAtP6Q+Z/YM52GsDqQ5h+YIsmrPvfoU+/MQT+oT30eZh8DVq/FiWB+mthEv/HhkmO+08D5fsoGaZnWIb13xcnjReteXjoXbgkMHzxHbb8Dpt/eAt7X0bKn2u+C5h/u+YjVuJjrPwjGf6niJXfe/D6YYhXzx+C7MMwur0P38WeH9tB9cPPgfRdEHsXS2No+8M3tyovoe0NVuV2CYev5J/NA/cBzr9QywVFUjixIGcYRhD4dPbLOeLrhhkx/Q6bf4dTH3DymaCe8a8fZn+r5k/D7Lc/p6q+70sgBlutaFoBDAgEIHglFgfgi0sDDAZc4nx2EzMySLW3rVnq9rPCJZaNaSocAOuGT7mECcBbZRrQAVAYWjCMFU0EHBDYs6pIaxsYINA4DrReRof4qV8FhOih9tYUMg6sb9tTismDAqYFAHD0FrSKAUAgMIBZ28vN8UvjmBbUYC1j0Ori38Om64ntHEoKWOGA9hQmbTn8KCzSAlvrLcbmHZ30vmO3KyGkNYO6oldlU6TsxRPTw+WaepPFZE4Fm0nUorOg17P9NFUTjEvq0o70cirrp7plN/vsuMiyOQmCbW/Mrotj54UgtDh3Kl1kXZ1hTnaYGFy3Ffr5mlfMttisC5NPFxxux3pi8JuAO7dHdeNW6wO8sknTNLUwM0AGYeuXNbgt5luAHelMWfmAt4DswcvkomhuHnmpQ0irA7qNNvvlTMc4vT6Zaj+J52jWFem5dXDPXh6MsNbOWhg6tqawy5TwozIvD8ayySGAzfV2csRqY8wZqXenzFS8yQXq+ZStb4UJajvobjv1ZzlxQOuNEclqIZ/sflu1/CITu82RI1Cg56Y3CfZAAaBtha/zdTD4Ws1OFh5vk/zmEDPTBAYAcGq71lEEzFtJFvCA/lX/fuZ/nYqW2x7rdqYigEslTk9KNlQWhn+/YVzEp4N625JydrJMTNL+/ncwN9WtM5EIdj8tO7UXt+7KjoJdaqG20ayBLshRtWDxuSgI3PaIVcJZXWu42EXYCr2ql+KoX+VS9cSUhugEOh19PS40OVQhKsTHANDEASroosOpuDvYWyxhWsHlwtVZyA/+KYqYEp7lrG5WXY6js1tVKCwTTAJ7W7H05Ri0CuVGMqbKzmHnBmzL0Y53yiTQHIOpjvlOn81LJtvuzulCkr3ccoN2j2ZgL9a+1fp6yza9aRT+2ggEyWNkza7sNeRgXPHRLqZiZiGgInkzhC2130eUPvHTapGAcs/TRcXaWH6mQCmgW+lsAGEjWQG7O8mZONlgJoVPF7vlupdnRCdG2ERenS/BJHTytJ2opNBeK+FERpS1nNf76w0sSWtfefJczEgdNVmu662QzKQjH22li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[已处理] 【17.0.10】workBook.toJSON()得到的的数据体积太大

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