[可视化]
用excel数据制作报表时只能加载5000行吗?
我建了一个Test数据,一共9999行。
导入数据时,总行数显示为9999行。
![](data:image/png;base64,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)
但是,在制作报告时行数只有5000行。
![](data:image/png;base64,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)
PS:已经对【管理系统-系统参数配置】做出如下调整:
max.export.control = false
max.load.rows = 100000
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cnroenp
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发表于 2021-12-3 23:48:32
已解决,在创建数据集时,选择【元数据】-【样本行数】。将样本行数设置为全量数据。这么个细节问题,只能自己摸索,好心累!!! |
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Yonghong-Club
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发表于 2021-12-3 21:02:01
您好 目前回答问题的同事不在营业期 您可以留言 周日下午14.00-18.00 会统一解决的~~ |
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15011411203
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发表于 2021-12-4 10:52:18
产品设计的初衷是为了在编辑的状态下速度更快,才控制了只能显示5000行数据,您在预览报表的时候,就会显示全部数据的,不影响最终的查看的。建议不更改参数,预览和查看报告的时候就是全部数据的。 |
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cnroenp
显示全部楼层
发表于 2021-12-4 12:10:54
谢谢反馈,在编辑报表时,需要测试自定义函数的准确性,所以需要全部数据;否则,函数的结果不正确,不知道是数据不全的原因,还是函数本身就弄错了 |
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