在JSP2.1中#被用作了JSP EL(表达式语言)的特殊记好,所以对OGNL的使用可能导致问题,
一个简单的方法是禁用JSP2.1的EL特性,这需要修改web.xml文件:
Java代码
<jsp-property-group>
<url-pattern>*.jsp</url-pattern>
<el-ignored>true</el-ignored>
</jsp-property-group>
</jsp-config>
很长时间没写前端了,之前用过和自学了一次,对于没有系统学过struts2标签和OGNL的我,,时间长了再去用一些东西总是很混,之前一直用的是EL+JSTL,我想对比着学习和做下笔记,会用就行了,没必要深究
出现的原因是:
EL,我们用它取数据即方便又美观,但是一些逻辑性判断,如if、else,循环还是得用小脚本,页面还是不美观,所以又有了jstl(Java Standard Tag Library),jsp的标准
OGNL和struts2 tag框架自己实现的
EL:${expression}
OGNL:#expression,只不过它多了一个<s:property value="#expression"/>去显示内容,(还有经常看着外面加上%类似%{#expression},它是强制将expression字符串作为表达式去用,而不是字符串 ,%{#{'yes':'精确','no':'模糊'}} 计算成有两个值的map
<s:radio name="%{columnZhName}_querymodel" list="%{#{'yes':'精确','no':'模糊'}}" value="%{columnConditions[objectId].radioValue}" theme="simple" />
)
JSTL:标签里面的内容比如for标签的items的,用的还是EL,等于标签只是做了一些逻辑性判断等,取内容拿内容还是用的EL
<c:forEach var="student" items="${sessionScope.list}"
STRUTS2 Tag: 与JSTL对比学习,基本都一样的,一个是标签,一个是表达式,自己混的原因,主要还是取值拿值,
标签的话用的时候看下教程:http://struts.apache.org/release/2.3.x/docs/tag-reference.html ,还有百度绝对没问题。
取值拿值就是OGNL,用的时候,先在界面上最末打印个<s:debug><%--<s:debug></s:debug>--%> ,内容分为两个位置Stack Context和(Value Stack Contents
#:读取Stack Context里面的内容 (Value Stack Contents里面的内容直接访问变量名就可以了)
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Ydr8dz3GZGTmlFe+gWu4BuO7SZiUVs2zpN5cFj07GndXTh5e0CzQGgGiI4ooGV0JNwh7CPyxSipLzdclBzsRphkepiU/xXaC7ouDRCtIOvuDTD50R8rDCnC4W5zEhCRSeg4/EdOTVoDoADgG+AMyjNGU4y6/wpNBcUWHEDiiNyr4lwz47vrFZ10VyQzjwy7QtoDgDVoEloc7E6ma8aXTXXJWn11RyXFJ1ZE0mr57jNfP6cKJbJV/W5c6SSuE4ORz6boscdZ0lJa4RMyaXTBcMwzuXzTdt0243poDkAVMMg+Z2YCOuiOUPOBwOiPD0uT+3RYt4lCO+iAQ3Z6IHELnyFhG+kCxcBSxDeJQ4pEYbmABhmtjnY9ys7CNN6BJoDQDV20wh7RCGd9ibRuwY0B4Bq7KYR9gzn03A7/rzI1kBzACjGbkth+IDmAFCMsJ/Fqx7QHACKEbY01AOaA0AxwpaGekBzAChGj2M74Oe42rlEtFTz/5WuoF+tVh1oDgDF6HFsQ3MCaA4AxehxbG/jx1WhOQDAvqDHsQ3NCaA5AFRi9aoeZdF6o80HcL2YiyZybUtqFjwn5Zqr1Up8o5YtdTodV9Jaymr8v7wSqrl6MWfX158r9xvtRh2aA0AxiIyEs1qaI6OWxqL1RpuLj9ut3ajbcnQ0V8pq3G4CUXOrVrK12GnVSq5iagHNAaAerVqJR1hCQC07ZGMkoJOTVmE3akYnKuQIzYkobwgCOmgOAPUQqiplNR6X+QZcO9Tc0EzSQXMAqEfHmpJLRKVEldkzbu2Z7Ex7a811SllNZKaVYrEtJ60igms36jMqKw+aA0A9Op0O9xoNuMgShBWjbak5/pquWvguQSg9MdeB5gBQkbC9oR7QHACKEbY01AOaA0AxwpaGekBzAChG2NJQD2gOAMUI+1m86gHNAaAYYUtDPaA5ABQjbGmoBzQHgGLocwXx+807wP2T1UMMNAeAYkBz/QLNAaAY0Fy/QHMAKAY01y/QHACKQTXXXKxG7IclxdMFMbCr+YzYzE1WSMflYlRzzUws4q1kOCik49AcAIohNNdcrEZYpLpoGS8Ti2TyVcNyXJzGafpcwTaaHrd2cTRXSMdFWFdIx3klwwQ0B4BiCM1V8xkafNnb/bNRGvcV5nSiOT0uP0Jz+AI6aA4Axehfc81MLGLnueK/VHMiJBxOoDkAFKOXpFVM3lXzed3Q41YEZ+hzBU80ZxTScaHLan5yyJTXXKxCcwAoBl2C4Nri0Dk1seBAZut4QjrpieYMugQxdBNzzUwsAs0BoBhhi0M9oDkAFCNsaagHNAeAYoQtDfWA5gBQjLCloR7QHACKEfazeNUDmgNAMcKWhnpAcwAoRtjSUA9oDgDF2Bs1tGqlbf8QtfxL2OEDzQGgGHujhjA0184louTLtQMTJTQHgGIMaOwPmJ1o0aadS0RLNUtu7UY9ypj4c8vyXYDmAFCMHZlk1xi45jpbR4XQHABDCneKSO1yxTofzKWslisWNca4bkSZaCI3k9VEsXoxJ7a3HVnUNDlVFNoqZTWSSFrhlasS8Sdvj6ynlthfeJBXXrH3stvm1Rbd4tRTqrXon3abnZxXnCx3JTQHgGK0aiUmS4SLoJTVxPZ2ox5l0Xqjbb+2Rn67UZ9xO4XbwTEFL+mNzkq2K/0qkcoTzTnN4zVo2ZLQtDgQPborOhMHLWWzLv+6yteLM+R8nRgQmgNAPUokNOOBFXdHSQ7Z+EaXLFxhUa5Y98giJ0xENeeq0FOJv+ZclQRsb2mWkbtHczRm9NciCXItxUNzACjJTjRHIz5749aac9nKr5Jd0Zwo7wpIoz6aa2mM2acsKoTmAFCTLkmr0FyrVmI+SauTk7o2dtEczX9FhOWppO+kdUvN0ZVWespEsk552sh6MYdoDgC16chT/lQirijPuwThty7RXXOuz7KxXLEesLhhpbGuJQhuKyvVtAPMLpojh6JrrM6/ZopFUbl9jlqLLJXkikVEcwCoTadvev3gxbACzQGgGL0N7VaWhE4D/EaBikBzAChGj2Pbd9nxYALNAaAYYUtDPaA5ABQj7Gfxqgc0B4BihC0N9YDmAFCMsKWhHtAcAIqxkwFfSMeH7gentwaaA0AxdjLgd665QjrOl2/j6cJO6tlLoDkAFGMnA7675raUYCEdF3ar5ieri03DMPS5QiSWaQbvtWWBXUaH5gBQjJ2M+J1prpmJxbjaJIvsb83pcwVoDgDFqOYzIqRqLlYjLK4bhmE0M7FIYW7OSilZRPhInyvQL6UKkcnpZzMTizB5X1FASIpGc5xqPuOqmRwurnsKyMrT4/axXHsNkGo+A80BoBhdNCccoc8V+OvmYjXiKE+PExkV5nSXa2g0V81n6Gv7iDo3n72vdSxqrrTdNlEbLRCgOacNA6eQjkNzAChG12hO2MdKMGlhQxZZc7Eq4je+I/kvDe6kgI7s6ChVzkmdffmhe9CcFTlSew4KRHMAqEdvmrMMEqC5ZiYWsXXj7OjSXHfp+AZr1XxG5Lzi0L1oThyUDTqsg+YAUA+RkBpWEORojuqGv9bnCkIcPArL5Ks89+QW45NiHs05NRhOhqvHycSZr+bI5J0e94vmaBJNnKjne9Zr/2ClFQDVoFnhZD5Po7nJfN5ONR0fiUWASCwzabtJbIynJ4VZ7HUA9xKEHDwy10YxYZfJV0mBeN4zo8cPLarN5PNxSXmuagcGNAeAYgSM5d2Ig4YEaA4AxQgYy9BcINAcAIoRMJahuUCgOQAUI2xpqAc0B4BihP0sXvWA5gBQjLCloR7QHACKEbY01AOaA0AxtjHO6e9DH0CgOQAUYxvjfLua4791796x3ahHGcsV69toSRi0oTkAFKPHwd2qlaKJ3M5+n7WdS0QTiYTLaKWs5t24j4HmAFCNHgf3oDQ3UyzKkWBLY1qxmIPmAAC7RafTqRdz/BugVGSlrCY2VuwCjLFcsS4nrS3N/pfYnTtR7GUrrJ1LREu1S7lEtFSz9q4Xc7livU4016qVRH31RrtjZ7V0i7fBfqfAc2TGGKNuJbUxuxlOyR5sC80BoBrtRn1G0lCLO84Vu9FojmiupTmy6JSympYtCVVxZbRqJXs+zqqfVNXSWLTeaAvNtRv1hPsobarFjt/MYNAp8MbYyhYNpoK2ji5K9gA0B4Bq2AOekXDGGv90cPtqzpXJBmwXtQkHWXIUfhGaq5OwUYRvfCOJs3jw5Wpht1OgDZPrZ6Vai8d3Pafk0BwAqkEinU4pq+2J5jr1Yk7LztA/heaCAiueRJOwjntNa0nBmv8pBDXYdYKMsR7COmgOAMVYzSWiImEUH+ygGV+lWGz3n7R21xzfkc6skTYIPbWy2VKn0y4WK6J+PjNYcSqJ1hsNv1No5xLRgKTVmZKbyc60O516sdiyTddDTAfNAaAaIo+LJnIzVijUobPyVEzeJQg6oy+00oPmRNglaa4j5ZVaS94i6hTLI2T6z3sKThobsATh+FRzb4HmABgithrVw8AgPg0jgOYAUI3BjP39R704Y4dmbZHVDgJoDgDVGNDg34c4eXc/nxfZGmgOAMUY4Pg/IEBzAChG2M/iVQ9oDgDFCFsa6gHNAaAYYUtDPYZSc6vTybHKkrHbh6lMpabL+uDqM1JsTL+6OrgKB4lenmaMpaYqoRx99ao+xlK7fkdt9PL03pzp9g4kfsS+uViNkJ+dHhC6+IloStX5bWnPDnZ79i3Q3PbZn5pbvaqPMTZoJYWs4B1qrjKVYoyxnk9he/bhV76vjrc3mqvmMy4Ndd0RmlODPdLcoBmYSoylylhyuktFWxZwsXpVT/ZTfiAMNILrr0ts0z7l6WQyueWF3fm7Y29acWzVXKxGZHN1cVaQ5rodCZoLA2gOmnNXtvuaW51OJvWrjS1v4t5rjv9SdSZftf/V/Yerh1ZzRsr+Kpl9A5wtYjzwsVErT4v4384FvIH66nRyjFQodTLRh+QKGbn34uhj5fJZ0QCRjrkyMtEMe6O7T9NeW5lK0de8mG63QRyrMpWaLpdTjI0lp69e1cdYammp4jq06K+8fu/VMOxdxpLTZz2dm5wOHxhGio3VlmpjckvoCYq0iwyV1enkGHmd1K+uEov51ClOVlxz0U5RP6/h7FSK3wJRnp+a54L7dCF6s7x+IUd0RCaqHUtON5wCLDVVkZXn9C6xe3BfcnYR99r3ZtEG01Mjl4sfy0jJ58hrENecdjDPlamRlo/pV1dpzyTXxGl/ZSpF9rLujm/SWs1n+L6RWGZxsRqxq+Ilad4qZ6x63C5pe1CPs8i5uXMRsrshB4D6XEFUX11sUs25/rV3JgumuVg9RG8bvTHi9ovbxm+DGNiM3GAmv+t63gwDNcekkcYrcY3bMd57Vq/qY877pFPGWKrYNYtoyK05EowY6WRyzOmvKWNtbfWqfpYcjoxk66R4b+Ztps2gmhNXQy9PexvMa5Avsje+MFKO3ZxbQIeNuErGUkW0J5lMJu0j8hey5nzqpNEcjdSETfitoQpIknc7zwX37UKiS3ijVGPK81ZRmUq5AkyqNvKadg/nagf0JZ+r7Xuz5D6/Op0cE12UXnxyZ1MGeZukJyIf3XtlpGhOHgvSXqQfOv2NF/Zqzm+uzRWUOX9W8xnbaM1MLEYjvsKczsVna0uPM8bjPqE5fa7gUhhtT8xfpmHSXKwe8uYvri206495xoPrNdmFxiPdojm7jDUYXLWJMi51ehpDAwevQZwwZ7qs895Je7A3GKF90RtKiC5IozlXYVeDvakKH29yDOvowC7vcoQ4uuURvTxdWWrws9PL02Kk0WjOU6d09WhwJ0IGbx9IuruEc8F9u5BcZ7d4PzVV8U3YffuYp7NZO/r2JdfhaDTnOoTrFEQZEkfTgM677kwt6f92IvDVnKt7+G53xoJPNNfMxCIswGucQjqeyVc9c3YSrgJkL0dzYotAtEdElPsqoNstzYl67K6we5pzwj1yFJ+JGK6AylSaD4nUVEUvT3sDNxpc7LbmxHbbAn1pjocSjelk2pDPbq1/zXnnoYI153PBt+xCLvTytJN/WUffv5rzvWsuzXneKpiIMfdKcxyegfItbs3xvWokwQwIuHakueCVjdBwklbxRlS2hpZ/0tpdcyLw1stlQ74xJPMyUnb/COiaNM7fMmmV3jk90ZyU247ZyR0/VjKZFBkunWoZlOaMpQrzS1rtS7FaLtfkfu+vJN+kdc1KuJJpkrqKRvalOfnCWulksOZ8L3j3LrR6dursKmm8b2egp1krl1cD+liXpDWoL7ne+XxvlvxZEKmL0rmLs04/SRlyN6NvFeSSeq9M30lrL5prLlbPWUsKQlLelQQ9ziIxz1qE+LOQTnv96NWcPlewTWroc+fo3Jy8pKun94fyuOZoDiLNRpGcwjV4ttAcyQGlcc7rK3eN5uTC0hKE7xyteCNNTZ31RHN0SEizJHQmyHehYOeao21z1UynJpk0d+ajJN8Z9zX3yHRGmvy5uaA6rRvkWYLwitI6VpJEf54L3r0LOcsajDjF1RnoadKTYj5LEIHrY0Gao5+bC7pZ9CKQVrmXp1zLDsxa4XGHouIue6+MfSB3Y2hI6J3yW+uqOcMwCmlrLYFoK87IGoJhJZVe91kU3KK0KnFpziDJqRCf3xLEvpiYM4Tm9jN79nn0XUbRz7iA/UjY3lCP/ai5ytSUN3pXEGc90W/tD4BtErY01GM/as677qko3s+jAbBzwpaGeuxPzQEAAglbGuoBzQGgGGE/i1c9oDkAFCNsaagHNAeAYoQtDfWA5gBQjN3TQb2YG+xPau0ToDkAFGP3dDCMmmtpjEFzACjG7ilhGDXX6SCaA0A5dk8H0BwAYF/QqpWiiVylmOMfPSdi8v3VemcjY1qLb2rUo0yr1Up8azSRa3c6HVlzdbt+sZe6QHMAKEarVmKM5Yr1TqfDLcZfl7JaqWYZqZTVcsU6/W+n06kXc9xo7UY9SlRYymr8tdBcq1YS/+VWbe+llgYNNAeAYuLTUZgAACAASURBVLi8YyuppTEJLVviURuJxVoai9Ybbdf2dqOeSOTaRHOlrLsypQM6aA4AxXBpznaTpTA6vHvUnKiQak7EgEMANAeAYvCk1c5PW5r9WuSenU6nXpypN9rdk1Zv2kuTVjqRN6O48qA5ABSDB18zdl5Jwi5ntYFsdJJZEQPyaK7oWcTwXYJQfWKuA80BoBw7XxPwJLNDDjQHgGJAc/0CzQGgGNBcv0BzAChG2NJQD2gOAMUI+1m86gHNAaAYYUtDPaA5ABQjbGmoBzQHgGLsfNjTH5DeGc1MLGL/jnUI0B/k7gI0B4Bi7NwO29WcV2q9aq6az5BvyG4tpl4b1JPmmtAcAIoxIEVsg75iN6lwNZ+Jpwvi9YBiSWgOgCFlEH7YHoPRnGHo8QEFdNAcAMMJTznP2Wkg0UczE4vwjZl8lYjAKpi3XSOSVq6JublCl6om83lbJd2SVt2uhLG4buhxOUWlmqNuIsmsYyua4dqH4weas6uNVBebrqrImTJXI6E5ABSDC8UWWTMTi/DX1fykZ/DrcWfM63FbZLLmrI3NxWrE1kchHRdWKqTjbGvN6XF7X68BDVlzonJ9riA2iibRlJY0iWvXMpo+V+Cv5TMVonQ1BpoDQDVcCwguWTAS77hKVgOiOdsO/s4iZbpFc4V0XA6j3JpzojtJoJS47jlEIR3P5KueQzczsVh1sSnaRk7cG9BBcwCoRoC8nGBNeGovNSf+ZCT+CpibcymM0qPmrBZSzQUva0BzAKgGj1xoKlqY02nKWc1nmGOBLZNWr+aamVik36Q1T5JoUUl3zYnc0zCM5mJ10kq9A5NWsV2UCUjPm5PpSaI8aA4A1eCSmrQzPhEQFZwteRGO0ZWBoCUIj+Ysa/guQQTlmFXPkoi9xb0EQRF70ViMJLMiqGxmYpHJfD7iHFp40LsE4Z4lhOYAUIxtf4fBL0ncmsF9ZWIn7OTrFtAcAKrRj3ec9I1mtVsiFm3pSm6oQHMAHCT6Cq+CP022tVZcSWio7OjLs9AcAIoxWH8cBKA5ABQj7Gfxqgc0B4BihC0N9YDmAFCMsKWhHtAcAIqx82G/898Gs2nnEtFSbcC/EVbKauTntC26tHnLHyqD5gBQjJ17ZLua80qtJ821aiXm1lBLY9F6w78J0BwAB53uTtlN+ordaOGWxhjdsbtnfTXX7UjQHABDRu/jf9BsW3OdUlbTsiXxv+4ig+YAOOjwUKhSzPGP7xJ9tHOJKN8oNNFu1K1NTCsWc7ywCKa4IGq1UpeqZopFWyLdktaWXQljWqvT0pyvvmotd94qZaylrFVWxHelrJYrVuwGWCVpAEhOipVqLao517/4FmgOAMXgQrFF1s4lovx1vTjDjUCGPc0WW5otMllz1sZ2ox61nUKDr1JWY1trzjvX5iosCVFUXi/mhJHrtoVLWY15WuJqM22GfL5umUJzAKiHa2KLWoOEVNF6o+0qWQ+I5mwv+DuLlOkWzfGgzNdr8tHpdidmpAEdTVpFU8ULcRZezZHTl2I9aA4AxQiQlxOsCU/tpeaItvi+7sK8nkv+R5TYiea8KxvQHADqwWMW1yImTTnrxRyz87Xo1kmrVzrtXCLab9JaJEm0qMRbOJFIUEnVizkhplatJALDLpqjZ9pu1CvS3BxN0tsz2Zk2NAeAivABP2PP3AsjlJwtRY3M3IulgKAlCL/YyllDcC1BkIxQa5Fd6p4lEXuLswYqC9qJ3Vw7dtccPSnvWZAlCEeF0BwAirHt7zD0+0ENl2jUBZoDQDH68Y6VuHXkXG9LxKItXclVF2gOAMXoK7zyfo6sx/1Efuqa71cRaA4AxQhbGuoBzQGgGGE/i1c9oDkAFCNsaagHNAeAYoQtDfWA5gBQjKBf9trez7AeBKA5ABQDmusXaA4AxQgazNBcENAcAIoRNJihuSCgOQAUgyat+lyBPncImvPSXKxCcwAohtBcc7EaYZHqomW8ODTnBzQHgHoIzVXzmXi6IMYzklZfoDkA1AOa6wtoDgD1EJrT5wrMTlqbi9UIklY/oDkA1IMuQVTzGb74EIllJhHN+QHNAaAeYXtDPaA5ABQjbGmoBzQHgGKELQ31gOYAUIywpaEe0BwAihH2s3jVA5oDQDHCloZ6QHMAKEbY0lAPaA4AxdjGOJd/dvrAAc0BoBjbGOfb1ZzzM4biJ+4VpA3NAaAYPQ7uvn7ONUgQuUS0n1933Z9AcwCoRo+DG5qzgeYAUI1Op1Mv5ryJZCmriY0VuwBjLFesy0lrS/PkodyJYq9csc4F4dUcLzmT1RiL1huNXCI6UyxGGdOypY6VHVvwLby1WnYml4gyprVIO0WBXQaaA0A12o36jEdDpazmit1oNEc019IYE+YqZTXumlatJOzWqpWYVViam6Ml7RrauURUPkq03miLf/EK68Ucs7cPIsbsF2gOANXodDo0IssV651OS3P8YuGrOZdlAraL2gKjObukVKBezNEATZSUt/OW7+WyLzQHgGqUsprQRCmrqaY5cdw9W7qF5gBQjFWRDHJZ8Nci/ex0OpVisd1/0rpzzXVJWkXbWrUKL7CHH+WD5gBQDT47xhcQZqxorkPn0WzvWImtawnCd5Wgi+bID4d54z63B0XbyDqGK5rztnO3geYAUI09UcMwAc0BoBphW0M5oDkAVCNsa6gHNAeAYoQtDfWA5gBQjLCfxase0BwAihG2NNQDmgNAMcKWhnpAcwAohmcUNzOxSGFOD8EfigDNAaAYnlEMzW0BNAeAYnhGMTS3BdAcAIrhGcXQ3BZAcwAohmHocft7o4U53dbcnL0xLoSnzxXEN0wz+aphGC4nVvOZeLrQXKxGWKS62BR7RWKZpmE0F6sR6UCqAs0BoBiFdNx2FqeZiUVsuzUzsQj/rz5XIMrT45ITJc0ZhkHqFAX0uLS740G1aC5WoTkAFIPHaFxPfCBvZS663b9wc7EaYXGdvKCRoNIBXTWfgeYAUAwxeu1UdACaE9ur+YwIBnnqqjrQHADqcS6fb9oDuIu5ApJWo5CO22rT4yQq1OcK8XSaJKfOLobRnExPKqo8JK0AqAdZGXDm4/wCNCvic6WcdPc8KeyynlxS1Yk5DjQHgGLsmg0UXmfoDjQHgGLskguq+cxwTMZ5geYAUIxd8AD/IF5cyZXUHoDmAFCMsKWhHtAcAIoR9rN41QOaA0AxwpaGekBzAChG2NJQD2gOAMUIWxrqAc0BoBhhS0M9oDkAFCNsaagHNAeAYoQtDfWA5gBQjE6nUy/m7O+qaq1Oh2/RsjO5RJQxrdVp5xLRmWIxypiWLXU6nVatJL7cmivW+eAvZbVcsagxFk3k2p12LhF1FRgaoDkAFKNVK3F5dTqdVq0UTeTalvii9Ua70+l0Ou1cIsq3dyzHWTbsdFoaY6Vaq9PplLKabMnSHttnr2hDcwAoRimryc+71FpuT7VziSh3WceK2pwATZSk29uNetQK64aNUlaD5gBQDJe2ODvUHIfntkMX1iGaA0A1aBLabtRnivVOV811SVqF5urFYssuPHwxHTQHgGJ0yBKEUFIXzXWkJQsWEOW17ExYTPAND9AcAIoRtjTUA5oDQDHCloZ6QHMAKEbY0lAPaA4AxQhbGuoBzQGgGGE/i1c9oDkAFCNsaagHNAeAYoQtDfWA5gBQDMP5oeh4bbEaCf5FrmbAf6vSr1APP9AcAIphGEYhHc/kq0awyDg9aI7/dKHFsLoPmgNAMQyjmYnFqotb/3J0b5qL9FKV0kBzACgGNNcv0BwAamHESY5JRWZP2DHGWGFON2TN0f+S/NRHc4V0PJPPxxmLxDJNQ4+zSD4/yRjjaXI1n2HyUQyjmYlFJvP5iFWtkwjbBUIGmgNAMWg0R0Smx53AzZKX/F/JSr5zc1xkhXScSVU5c3bVfCYSy3ApNherEUuRzUwsIraLecN9QxOaA0AxfDWnzxXkZ22ywpxO/ys0ZGyVtMqeogWamViEBmh2SWk7b8n+Wc0opOPQHACKEaQ5KjJOKJoThxDhYdggmgNANYKTVictnUxPNsl/+cSc/V+ah/aluW5Jq9DcuXy+aRfeJzEdNAeAYgRoji4yRLz/JVltPB/wuTmusC6aM6yZO+koLs2RZgR+oG+PgeYAUIywpaEe0BwAihG2NNQDmgNAMcKWhnpAcwAoRtjSUA9oDgDFCPtZvOoBzQGgGGFLQz2gOQAUI2xpqAc0B4Bi7LYU2o16lGmtrQsqAzQHgGLsthSGS3MtjTFoDgDFGMTIj9Yb7QE4RBGgOQAUY8ejHpoDAOxvOp1Oq1ayv1hqCYtsYblinQ/vUlbLFSu5RFSUbDfqUbFnItfudHhaxynVWh0paW1pLFqpVaJSeatmuRJ+rKImF9snQHMAKEarVmJyONaqlZgzm9bSbGGVspooWcpqWrZkF3B2L2WzLbsSbihZc5INebX1Yk6YtF7M8WpLWY3t1xk9aA4AxShlNWEZjmsLVY/YLizmTVrrxZwdz2ktTzRHhMhra9vhoRQVelu1f4DmAFCMAWqO57C8jLBbL5rjYV2XNuwroDkAFIOmqK1apd5od0lau2uO7iiyzq0016kXc2ICrlUreY+134DmAFCMDkkz7ek2mngyEWoFaM5aQIgmcm2Sgc4Ui71Fc04NtAHQHABgYIQtDfWA5gBQjLCloR7QHACKEbY01AOaA0AxwpaGekBzAChG2M/iVQ9oDgDFCFsa6gHNAaAYYUtDPaA5wep0cqyyZITdjD7Qy9OpqcouH2R1OjnGGOvnyqh1JY0UG9Ovrrq3LlXGktPurfuDsKWhHtCcQK3BubYWoLnVq/qY/TFRz+lYzrJJbXm22xrtvlfSSDE302W9v4pJ/c457FT00NzwA80JhkNzRtoenKtX9TH3AJbOkQux+ynr5en+ZeQcxSuL7eqDyoiexep0cmy7uux6vH2tOT3OItXFZl9DvZCOZ/LVXfLIPgeaEwyH5iir08lkF82tWabrFtPte82tGUuV3cjcoblhgmvOSSjsPu1sETeb3/haeZpv1q+uVqZSAcmRlDqJXsiHpdiLjB93A/jwW1qquGow7C2MpYw1I0UObY9YPgaWUvaOoiXiRAKaIe1IEzrdOmV6pj6FjaWKay86/CpTKbsBq9PJsdTUWTJW6YkYKbsS0ULmjHAjxcbK5bO82eIQ/By9kV3KrTCvylddzaDXhDSA1+MU4LvQcyTGtOqk103ca68+SDHnKKQbsLPlsuhLY8npVfksRBsqU6npcjnl3Gh3H3aFt3p5eiw5vSoJVMqsac933Qh+FmenUswv4d1VVq/qEbs1kVimaRiGocftLVxk1XyGsbhuGIZhFNLxSOyHP4w5O1UXm83FaoT8GaaBdp/mYvUQ7VU2kj4qUynejfjN5iV51xTv2K5ZHrk/OWkF3YschQYdVg+m45bU5p5GocOsMpWaLuv2xI0zYKhctmqG2FEqPOaTBvoWdinDP2EU0YcIlIylSjKZFBdZDFpZ7s4Zud42XPdLYF8QaYx4I1Zy3dx3YU2O5ipTU4bdHn5NumtuzU9qri00FhP/ElVVplJ+19OtZv66MpUi/dC/D5NrIioRNUv5r3hbWr2qJ6UOIN7S+lqWGSRyNNfMxGLkdaQwpxt27NZcrMYsFdJozil2EGguVg9t2RHprR3z3G/Xa44rkPEdFWv2EKJxn3jnl+t0ujWPL0j3En1U6qy0f9OOK8zlbcaaf4zg9gKVqTegEGfqm/LYZ+pcNz5+KlNp/WojJQ1slyW9Y1IcdyrIcX6pXGA053sX1jxJqyvy2rnmSMBIAzrrQOQU3JoTO/je6y59mLk7s1WzqxvTTiu3cEy/uhpuSks1R+IyKaCzQzwnWKNJazWfISWHnJA1x/ul7/RQkObEnyJZ4JWQoKBvzXU1V3+aE2OGhCGuk2JMOq+kfrWRtmSXqiw1ppNpg9RDT9lXc4yNJT1z8AGO815J5zoHTdIJzfHG0ymFQWnOd+5vS811j16D+rDY1xsndtGc92LuM83F/QKzbpoTWxhjQx/WOUmruOXlst4lae2uOfFW2TVptba7EkBXZhSgOd48uoXHROm0vPS2peaCmuE1V5ek1U9za3p5Oj01JRpP8k1nxoom2slkUqSuY8mkyI+Ck1ZXNFeRL6DvyqOUmAestPrchTU5sxaCFumh78Z+k1Ya3p6VNBo0CbC15oL6sH1Dk6R30YRAmqj1m9EzpjxjYe/xJK0R4a9COi2m5DL5qj5XiPglrfn8OcO9cWjhmqPLBdRc9ibP1MnaVppbk2ZtnYk/vTzNp95d6YZ3bjsomhMZBHmDdXqkq/Bat2jO24xAc/ktBQQWplHPmnNN+LKDiPgYcYc0/00GKk3NvGPSdVx+AZ1FG7nBrvlHd4YYdBfWpKTV2fdsuUyDI9+NrmWNXpYgiFbotK8TtjO/JQiBKzD07cN+19m5pGSXsXL5rN8ShNO9Q9WcFYh5lyDExJz9r2YmFomnC4Zh6HMFZsd39mtRwzBjaW7P2J1P7ff9QZBd/fLAlh/RAGCHhO0N9VBec9513lCaIQieFwNgMIQtDfVQWnPSWkR4zbBbc1UfIx+2AmCXCFsa6oFvQQCgGGFLQz0OmQAAMNRAcwCAIQeaAwAMOQPU3K0JdmzlxvrgKgQAgAHANXdrwv544cXLt7ZbVS+aW58dP2YfamLbRwIAgN45xB1n2229UqhwUV0sTMzOr/RT1RaaW7+xcowxUef6jZVc4WK/zV2Zn53oc6/1GyvHoFQADjCH1m+sjI/PeuU0aM2tz44f67NCH6A5AEC/uKI5Dk0tubmcLURVTqo7O79CNXexMMFk5XV1jU8my8tfvnzR2lq4aFcrJdcr87Pyjrcm7Bby4LFQKIhd+vUjAGA4OGSa5i3LJpKGaDS3Ml/hziK2coRiY2luZX72mCc8DNacFOWJfbmkuJjWb6wcs6VJo7lbly/S12THiVumebEwwVWIaA6AA46z0sojIyEOV9Jqq9CK74RWCLcm2LFCIed1nBnsGs92y5Xy9vXZ8WMifKMtZBJWedeJQHMAHHBcHyiREk9bc7cmHGtYBQI0x8bHxwOWUB1VSVt3pjnfyT5oDgBAOURTP1/NuXJGe9KNzujdmidzc7cuX/Q1HY8HhensldYuSesWmqMHWr+xUnFaO3GL7ALNAXDAOWRKE/mOhuws9djKjXWRHs7OzwsP8ukzefqf2pB5Qy2yCyPBoLOUITYGaU7U4FqCoDN6/F+3Ll90rZ9gCQKAgwm+7AUAGHKgOQDAkAPNAQCGHGgOADDkQHMAgCEHmgMADDnQHABgyNlCc3c+XD4Wm/7bLhz43ue/iY+mb+9CzfsHcY6bGzefOZL48K/3fYs9+OpagqU+uf/YtX2lPvtc6a3NATXm8f3rp5/S2n/+x4DqM5fPn5l+/d2BVLV73WxQXL+ypE2cG9i1A3uLpbm7q+/TX2NnjDF2fOXze+++Pj2oruyivXAudeY1/3E/LIhzvPPhcnx89l5AsU/euZB64YJbcuaD8mlt4fLNQTXm9pWlp05MfrExKG3+bToWe/fjv21jz3ufr/xf55c3zYdvvPTSH9Yfmqa5e91sUCy9kp4sLw/q2oE9xhXN3Z15+vjyh3fsP+/NjsfJn7vCvc/bzyRf3t1jhE3XwGdzofBMWb/m2hoU4oXI9SuXnn3xvz4wTdM0732+Eo+e2dZduz93ZuoP6w8/u7xQqvPvyexFN3OxZa97fP/6VPLZj756sHdtAruGpDlX3733+Uo8+tztgb3/+7NSnz1zfnlXDxE23QKfoHw2IMQLEUnH20ioNzduPxf9jitlyJ1f/s896WYutux1Ny8vaKfLkNxwIGnuw0s/eaawILrbNb18Mv/awrkXR4+MHB49eunKdb795ke/zJ1MjDB2ePTo4uVPTdO895ffTf9L8jBjjI3wPOvh+s3XC7nRIyOMHc6dW3woH9XuQ3fO2P1+5MgzNzc2/fZ6UD6tvba4/OLJxAgbOXPu0q1Prjyb/N4IY0+fevWeaZrm5u/ev5h8KiIqoQd68ujvvP0jR0b/y8/e27Qr/Nc3FyZORE+9smSaD3956fVEdJQxdjSR+3Td1dLN679971TiKGPsaOL0R3+9/+Crawl2/Ir1xNDNX9dfyRQWHnqKkXOkbx4+xe58uBwfL/z7pcr3oqPkrB2nbG7cWyoXjo4eZmzk+5lX78oneO/zlRPOWYuwyH1NSBvunInGf7586VTiKGMj38+c56n05sa9i+emI6OHR46Mvnrx588c0a6RQObBV9cSYi5jfPaedFPY0cTk9fuPt2yqaZqm+fCNl6Z++9f7tz94q3DhfdHNeK9b++TK/3kisfD+7zZN895fflfInjzM2MiR0VcvXtk0H194ITVbv2LVsv7HU0+d/AO5WQ++uqYdObn83kIiOsrY4clXL/F3iHt/+V0h+8zokRHGRhInX76+/tD09Lpv7l4//+Kpw4wdHj36ZuMj03xQPu2c7srn94gTH/7y0uv8wh4ePfqa/ht+hsvnz8y89nNeyWj0++3Pg+YnQDhQzbkmgx6UTyeePnX20y+/3tz45rVc8vny26Zpfnp54fRLP/3i6wemufnxOz+Ljc+um18+/9TxZeOm6NQP1z/N/eB0+9MvnpjmN3c/PjkauyI9PH1zofDMTy59aFq90xqlvns9+Opagn3n1YuXv93Y/MM7F0bY4bMX3v760ZM7H70TYSfaf/7Hl9fePh6bvHn/W7+z23x/8c3fXl/bNM2Pl6vHx2fXrRF7+OyFxjcbG48e/T8LhdxPl9sPHj3Z3PjmZy+fFAPJugRf/Y83642vHz3Z3LjzYiyycPmWad46yY7+6rP/aZrm3c9+lXjq9PX7j/2KOecoAh+/Yuby+TPfPZH+8Prapml+8dE7Y+z4lRvrIsTb3Lh77tSpt41Pvt3YfPLozo9+cHRBfpiVcIRpmvf/+mHiyDM3Nza910S04c6Hy99h3/3ZOx9+u7F5c2XpO0z7/X/+782Nu69MxPOvv/31oydPHv39J6e1WPonrvCSTi/a1/Dtrx89+ebuR0k2+va1L7dsqmmad1ffnzm/vGnenzvz4h+tfPxB+bT25nur1975WfIHk7/7yz3TNO9+9utTpwqffHF30zTv/I/3jrKTt0xz6ZVTduL/8MILzyxc/tR1HQ6PPv228ekTc/ODX/x49KnnvzTNu5/9Oj4af9v49IlpPnm0Vhg/zu8v7XWm+eCtn7356Zdfm+bmO6+9eLKwwE/3TDS+Ytnq3ux4/K0Pbpvmw4XCs8+89NO1+9+a5uYf3vu377CTt6zC30n/6Gdr97998ujms9HvvLb8e7/eCELD0dzj+5+kyGTQ4/ufpFjMTqYeX3ghdeGdTzY3vsg9NUqTjvGX3nxsfvn8U9/9wbMvvX3l909M0zQ3l8/naJmRI+N/lOaYnD5EUjP/vT5550IyV+Xv2jcvLyTs4fe3j989Fj1zxzS/vPb2d49EXzpX/f3Nv3vO7smN3/3H/E/LZ/Mvxp+K8HH+yTsXxBj+4sNl6WTYyJvv/ZHu/+39tcv/funVc+ee+5fUqJVars+OH1+4fGtzY23m++O//uxuQDFxjs6bh1+xv03HYu98ZM0TbG78aZwlrn31QDjlt3p5RGrh2Purd0kDrfvC/7iml8dfevOxzzVx2vDu69MvvvYOH99iffO3enn8hQsiNFo+f2a27n66DF0loNdQdJvuTb39wVvufJWNLn/4Be9m+UJu8pWFe5Z37pdPa1JFT8/cNc0r9VnuoN9cPJcpLMhR9+MLL6Sqyx+L65B64cJj8/5P0okL7/xBFFooWG9jdEJgc+Pbj//j8k//9dX8C88djY7yd6a/ffxuzF75FU68/cFbx59+ec0OUddvXDnOTt6yCr94x9p+50z02PZWZsDu4Wjuk3cuJMhkBJ2bEF3ZtfC/uWHd2yeP/t669Mb3Rg+fW2h77rQoZUEqoaPUdy9pPogOPzq38vebq2+cmzrMTsiflnj4i1fOTL5y4cp//H5t7UZh/HsLl296K6QrAxsbG7Sddz+78sPExC/+vfXpzS8+arwZs2KZB+XTiYXLny298twr9V9vBhQT5yhWEnyLuSZD//DOheTp8n2nYQ/KpxPCYt4r+fj+JymWsLPLh9VcUhSm14SsZkiT/e++Pn3m/DI/yvz7f7KPcfs5n4FKpxela2grY4ummqa59vG7dig3JfLNm5cXEumXX56InX5lyYru5LUXUdGf3p9PvXDhi89+nTzxvGu9eHPjJsmyH194IVXWrz346lqCjf/JLrm5cefFWPz91bu0121u3P3xqR8WL/ziP3736Z0vPnpmNMbffanTbWmay+fPFN78lTjox8tV/qZCu6J49wX7CqE513qfk3OZRHm3ryyNsOPvf7Jmmptr140fv/bWpnm3fuHS14+ePHn09Vzu+68tf2Sat08dGSm88f4T0/z2/tobhR/fkjsl6UO3Tx05/qvP/ufGxobvXvL0/J0z0eN2gHD/J+nEwuWbd1d/fem9j5+Y5tdf/vfvH0nSdbF//Ll9gj390d3/98mjr99dOB89Mv7H+49d8/1Lr5w6Pl5Ye/Rkc+NbY/mNt65ISdbSK6cm//XfN83NtevXpn5wfMaeS1oonHzm9OnTP6o/DC4mzlEEDr7FVuqzI0div/xkzTSffGq8HR+N//qzu8Qp/zg3ceKZH/3bNxubTx59/faFOdekz/qNK8dZ7IO/3Nvc+KZx4exhlrj21QPvNRFtkNeUhPL+cW7ixPRrb3+7sfnt/bWf/Sgd8XyE7R9/bp9g43/a2NzY2JCvoeg2WzSVLLD+4vzF37i62b3PfxM78l2eh/7jz+0T7Dv/9t4fNk3z6y8/nTt3gVd058Pl2A+emzp1ikfQFBrmC+Xx6Q5ez7f313760qkf/ZRPzjq97vaVpcjxyb9uUPrtpwAACFVJREFUbH57f+3iuamnnp65a5r8XObf/9PmxsYmceLy+TO8t/CblTzxLx/99T5JaU3zQKynKYmluc2N2885kxGmPDex+VbpOR5GbW7cfc2arI1Mn7t4b2PTNB/+4pXnRhgbjSZev/RLPn3+G/21o6OHGTuc/JdpPttCoAHFly8njjJ2+NWltu9edD7Ik0eM//H+44frnz53IsrYSOJk7pcfSR8xe3z/5swPvsfYSOLki4tvnOPj3PX5tbuf/YYvCESeSl58/3eu8MNYrkaPjBwePXq+vpAlS6W/erMw+tSzYrHCr5izFCDePPyKPSif1ir1n38/OkrPmoZ41z/4b4noKGMj30s+2/rI/Rm6zY0vCz/4Hv/vwpv/yt+KPNfEaYPvRJ5pmp9eXjw6enjkyOizL55/48eT3oH64KuPTkZHR46MXrpyi15D2m26NzUAp5v9Vi8fOaL99q/3TfPhfyu/zFeNnn3x/E37Oq/fuHKcjfAI2gUN829/8JbdPNGj2NHEycX3rj2xiju97t7nxsSJKGOHT714/r8Ws/a774OfvnhyhI2cPndpg8SJD9evv3wyMcLYyJHRXOH163e/Md3TfNa7b2/nDvYOfNnroEPTy82NL3JPfU+e/tsviIwegH6B5g467YXzP39/lWeIZ089LebI9g1PHj36/67/9v9Onsh4Pu4DQE9AcwcdO3EbOXoiteBkdvuF//2fv9fYSOLky5/e/SbstgBVgeYAAEPOoTUAABhqoDkAwJADzQEAhhxoDgAw5EBzBwW9PM0Ymy7ra2tra2tGijHyJwDDDDR3UKCaq0yl4DhwcIDmDgpCc8ZShTE2lpxetf/Ft/CngehXV1ev6mOkAP8zNVUJrekA7Axo7qBga66cYoyxlGFvJ47jpIy11enkGFee2LGyZHSpHID9DDR3UOC2Yp4pOZ7Acovp5WluN5LhcuWlIDmgLtDcQUGO5kR0xi0mUVky+BpFaqqCjBUMAdDcQcE1N2cHaFJ+SqlMpRhLle34LoQWAzAgoLmDAl1p5a/5IoNrbk4EbsZShbGxZHKMLlYAoCLQ3EFB/tyclatyhdFpO5Kf4rN1YEiA5kAQgfksAGoBzQF/XJ+eA0BdoDngxUpX8XE5MBxAc8ALZuXAUHGoAwAAQw00BwAYcqA5AMCQA80J2rlEtFRrhd2MPqgXc1q2tPPdW7VSNJFrD65hfqh3eXuklNVyxXrYrRhy2o16lGnb7j3QnEC9ceiruXajHrXXSbufjmqaa2ksWm84zdxh1ycXSqq2X/rRXEsjXzjZyVvUQQOaGxTDobnWhC2sdqMe7TqAdxgMenBrSGZ3NSefS/eWiH1FmVZ2B9ehu+bktxDasJa21fvQwFE38ITmBsVwaI7SziUS0Jx/XbXSoM59u5oLQToHXHNOLG1fBWeLuEn8hlWKORHnl7JaUHJEUyfRn3hfFHuRK+5uAD+rWq3kqqFlb2FMa8nvh/aF4MOpptk7ipaIEwlohrQjI9e0bp0yPVOfwq1aybUXHUilrGY3oJ1LRLXsDBn29ERaml2JaCGTQoBosTjDmy0Owc/RG9lpnp5B74u4sGQotnOJKL0svdyyUq1Fq/VWpWVLvV1e58RzxaJGbpk4d1/NkQvFZopFuSWu41o1BIW63sbUizl+sxjTsllNlikr1VrUHa7dac/JFev0FFwN8B5X7gCi5YGi9NYgZ+UNcTt6SNLbpDCtTSsWc8zqq06ZmWLR6yDvnECPfcmzu+hgPkLwdDMJcaxD/Biy4yV9lOxbyxUjer9ok2t4e25hO5eIevciR6FBh/WeT8ctqc3d0alK7FvOT5u3p6XJo26rZogdpcJRnzTQt3BbNperM1n/FXFEvZjjh2jVSolEQlxk/qJERhS5wi3N87YRlP74vXXTkty2kua88V3AteqUstmW3Tb7+tBTdiqnp++9vDSqElWVshrzeeuWJrb8ZOQbzdHjSn2Vnxo1qW9j6sWcLEfNdeLiOvvu7onm7KHfw3HpG3N3zfnV4BM+9xbNOXenQ5rBh6TYTvun3/1qz2RnaFTR6acv8WPRxgcIoVPKatRU9OzolT/knX52bRG3lm6n99sbT7pGS9Ao4uPcFV9wk8p1OjeM65mcv7jr4oV0d+mZi9e+zXDtaJdx9xUqU0/hoM4t3Sr69piwxslEvXFJswOTUq3lsaQ4nLS9Xsxp2WyQ47xvbq5WeZvNW+hbRr5W1mvZNa5Qxd3vfa+YHLBYVQWMxu0lra476E7keQP44XwbI9fs85YmWuu7e0DSKsUWfju6mu3t550tD81vEL2SvWjOc++sI8rbpWYEZZSiVV2Gv3gdfM29h6DDQT5taS/+X60Vrub4Rfe9RkGaE38yovNcsU7ezfrWXFdz9ac5cfvpm4x8UoxJ55WoNy5N2EFBqXYpl5hwKUM+KbfmGIsmyHuvaKTvxNOWmhPFRI8JvmXS9MJONOcdeLupOZ9pO5r8eo/r25kb9ltUR3aNd/eguTkaV/rt2LfmgvxFI4M90xzvQiLb22r4u/tSP5rrZa3JTlpFJFm0ZhD8k9bumhN3rmvS6p2bkIJkHsEGnVVRmkdrdayYaGLC6RM9aS6oGd5x2CVp9dNcp17MTWSzNLWhmVqp1nIl2olEQuQd0USCDp6ApNUVzZXkCyhdTBvrhsq5gJP/ko5YdKUPvtfKNUT92iY1qVisdIl/aXg74xm0XaYsetcczf7EecmHcM+uisZ4hlxLk99aaObo3b37EkT3i+CXtDoXlgrCrwZ+2aUW7jhplYakN2kVN4uMGuf6996XqEDajXrFnpvzTe/I0JuxdcxrrogaDpkAADDUQHMAgCHn/wdMlxZr3UkrCgAAAABJRU5ErkJggg==" alt="" />
struts2常用标签:
<!-- listVehicle是action里面的一个成员变量,它是一个Vehicle对象的一个集合,numberType是Vehicle对象的一个属性,有get方法,也是Value Stack Contents里面的内容可以直接访问
注意如果是文本框里面的值传到action里面去
<input name="people.idCard" type="text" class="input-ryyj" />
如果只需要将idcard传到action,那么people只需要set方法,如果action跳到界面时还要展示之前idcard的值,就还需要get方法。
action里面的people不能手动实例化,struts会自动帮你注入值,不然就会得不到值
aaarticlea/png;base64,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" alt="" />
-->
<s:if test="listVehicle !=null && listVehicle.size>0">
<s:iterator value="listVehicle" status="iteratorStauts" var="vehicle">
<tr>
<input type="hidden" value="<s:property value="id"/>" id="cl_state_<s:property value='#iteratorStauts.index'/>_pk"/>
<td align="center"><s:property value="#iteratorStauts.index+1" /></td>
<s:property value="#vehicle.numberType"/>
<td align="center"><s:property value="numberType"/></td>
<td align="center"><s:property value="vehicleModels"/></td>
<td align="center">
<select id="cl_state_<s:property value='#iteratorStauts.index'/>" name='status'>
<option value ="0" <s:if test="%{state ==0 }"> selected="selected" </s:if> >未派发</option>
<option value ="1" <s:if test="%{state ==1 }"> selected="selected" </s:if> >派发待收</option>
<option value ="2" <s:if test="%{state ==2 }"> selected="selected" </s:if> >已接收</option>
<option value ="3" <s:if test="%{state ==3 }"> selected="selected" </s:if> >已处理</option>
<option value ="4" <s:if test="%{state ==4 }"> selected="selected" </s:if> >已抓获</option>
</select>
</td>
<td align="center">
<s:if test="status == 0" >
<select name="organization" id="cl_state_<s:property value='#iteratorStauts.index'/>_organization">
<option value=""></option>
<!-- 访问ConfigData的静态方法getInstance,再访问它的成员方法getOrganizationData-->
<s:iterator value="@com.sungoal.warning.arithmetic.ConfigData@getInstance().organizationData" >
<option value="<s:property value="key"/>"><s:property value="value"/></option>
</s:iterator>
</select>
</s:if>
</td>
</tr>
</s:iterator>
</s:if>
<s:elseif test="%{true}">
<div>Will Be Executed</div>
</s:elseif>
<s:else>
<div>Will Not Be Executed</div>
</s:else>
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