两种Data Table参数化设置的区别
首先介绍Data Table的语法:
1.DataTable.value(ParameterID, SheetID)
2.DataTable(ParameterID, SheetID)
以上2种方法的效果是一样的。
使用例子:
WebEdit("关键字输入框").Set DataTable.Value("列名",“表名”)
然后比较Global Sheet和Local Sheet
1.Global Sheet:是一个全局变量,有几行数据,程序就要回放几次。
它受Data Table iterations的设置限制,具体设置如下:菜单栏-->File-->Settings-->Run
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" 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默认选中Run on all rows,也就是Data Table里有几行数据就运行几行。
2.Local Sheet:是一个局部变量,不受Data Table iterations的设置控制,如果Global Sheet没有数据或者只有一行数据,那么Local Sheet只运行一次。
要想摆脱Global Sheet,运行所有Local Sheet下的所有数据,右键正在编辑的action,选择action call properties
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lLUvFlzUTCMBIkf5AQ21LaYM4kognnjDVC6NfEY8UHgAjEZ1mW+Bmfay7xRHD31MdbntPoW9jbNVWeKD736DNv47TFtOFRJ/VgwBm+AGiP4uILs9UVVny8W/J5xZ/MzfbKqjZAfP7nQzpH/ybMtJnIp7K0XVocKz4ARBQUn7XIlxuWJYjJlkoZxcecTxu84gs4GDdtJEzTsFd5jv3YDir/ahqAWkFZ8bGHiFPrhX2rS5dT1B22qYJcJtvqBolP1rKvTMWtrl2TOA5ktufeg8Gx4gNARE3xWc5R4jkGO0de2sdi7n40kVjE7jVgmSaUDbXVFRtnBmlZHpFKCgIAvCgrPtoLxa+M2msitWcHQGEoLr4awl6mRT0KALQA4lN8TaT27AAoDIjPsqL+zqhy/wsA4ID4AADaAfEBALQD4gMAaAfEBwDQDogPAKAdEB8AQDsgPgCAdkB8AADtgPi0YDwiIvw1aThlEJ5iflPjEF+tMO49abMy+H77IaYMogbi0wK/X1VZqQbxVbhTiK9WUFx87B6ksL7UQEMLaDhlEB5lxWfLjt2G6Kw/DS2g4ZRBeNQUH1Ue+0WkNEdSgT9lrZDjKuwTI6vznAvZr+rCaM/ohXJ2Wn3iU3zKIDwqi29BIOxhQ4Uc7F3xM8gXg/dX9cHrP+zp6enpqaAFKn9QeuRTBtWMguLzs16Q+wIOAwpJIa6sHJEvf6IWnw1WfCAPxGdZls+Kz+fESNMQt8NpNy9rJhKGkXDSbFn3EkmYae4AXMtTQKibNpwOqZSZMypD3LFoLeA5g0n6cUKp5x75lEE1A/FZliV+xkc9JYiPPq8BZ+Ayjzh/4CShp347Ca4Rv7rsQeJEOO88xB2rjhWf9JxMy/m5lHOPfMqgmoH4LMviHiT+cXMLhDlQPOAU8OAywXXds36dw8PTRvjtY+QWCDoZnfuxRHOPfMqgmlFQfJa/+8K+3LCfsyoTn5U2EqZpJMwsY4Dwd6ymxVfA3COfMqhmlBUfe4g4tV5Y8dEVBt2M2Z8pLe65lW11Q4pPviVMG84HZXTPF/6OVYX4gre6JZ175FMG1Yya4rOco8RzDHaOvDQvPuZDOZtEYtErPov56NDPdwF/RsPVZUZlWYt+7Ry5BQz2k1N+XpZllX7ukU8ZVDPKio/2QimsLzXQ8H9j0HDKIDyKi6/moO+VS9ushhbQcMogPBCfFmhoAQ2nDMID8WmBhhbQcMogPBCfFtDX3BUmWvHpNmUQHohPC2R/yl0hMGVQhUB8AADtgPgAANoB8QEAtAPiAwBoB8QHANAOiA8AoB0QHwBAOyA+AIB2QHwAAO2A+AAA2gHxAQC0o1bFBwAAxVB74ivB/0cOANCewvwTmfgAACAqID4AgHZAfAAA7YD4AADaAfEBALQD4gMAaAfEBwDQDogPAKAdYcT3X1T8yx8MYuzXAAAAAElFTkSuQmCC" 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注意比较2种方式的结果图:
aaarticlea/png;base64,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" alt="" /> 这是Globle Table的结果
aaarticlea/png;base64,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" alt="" />这是Local Table的结果
对比可以看出Globle Table是执行了3次脚本,但是Local Table迭代了3次自身。
如果还不明白,再来看个例子:
Browser("360导航_新一代安全上网导航").Page("360导航_新一代安全上网导航").WebEdit("q").Set DataTable("A","Login_Action")
Browser("360导航_新一代安全上网导航").Page("360导航_新一代安全上网导航").WebEdit("q").Set ""
设置setting和action call properties都是Run on all rows。然后在Globle Sheet表设置3行数据,在Login_Action表设置2行数据:
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alt="" /> 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执行后的结果如下:
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" alt="" />可以看出脚本执行了3次,每次迭代Login_Action里的2行数据。
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