vue使用a-table设置自定义合并字段实现某字段值相同则合并行

背景：

笔者前端使用ant-design-vue,二次开发了a-table,但a-table组件的属性方法都可以用；
业务需求：物资存放在不同的仓库，显示物资统计表格，以物资分组合并显示物资名称、总数量（物资A在所有库房总数量），同时显示库房名称、地址、数量（物资A在库房1的数量）。

后端返回数据结构：

[{"sumQuantity": 100,"id": "IMilokafkwdIAmWmrlAjLX","version": 1,"materialId": "1","quantity": 0,"warehouseId": "IQotvqjOcr3IknflrjDta4","updateTime": "2025-02-28 13:15:00","materialName": "沙袋","warehouseName": "库房1","warehouseAddress": "物流运输产业院1栋101"},{"sumQuantity": 100,"id": "D0TpUNP3oF6J8DGFVBDX1v","version": 0,"materialId": "1","quantity": 100,"warehouseId": "IBU9sfUgWhcG0RglQB8urC","updateTime": "2025-02-28 10:51:51","materialName": "沙袋","warehouseName": "产业园3号4栋","warehouseAddress": "产业园3号4栋"},{"sumQuantity": 100,"id": "BRmOAec1CbeKTnnnmwefxF","version": 0,"materialId": "3","quantity": 100,"warehouseId": "IBU9sfUgWhcG0RglQB8urC","updateTime": "2025-02-28 10:51:51","materialName": "铁锹","warehouseName": "产业园3号4栋","warehouseAddress": "产业园3号4栋"},{"sumQuantity": 101,"id": "JGGKndrPSaVIlvDL8tG3Ea","version": 0,"materialId": "BtjEnxJslGMG3Ns3ZMtcVi","quantity": 100,"warehouseId": "IBU9sfUgWhcG0RglQB8urC","updateTime": "2025-02-28 10:51:51","materialName": "C","warehouseName": "产业园3号4栋","warehouseAddress": "产业园3号4栋"},{"sumQuantity": 101,"id": "F7GtvxU2hY8HqPHF90AMpn","version": 3,"materialId": "BtjEnxJslGMG3Ns3ZMtcVi","quantity": 1,"warehouseId": "IQotvqjOcr3IknflrjDta4","updateTime": "2025-02-28 13:15:00","materialName": "C","warehouseName": "库房1","warehouseAddress": "物流运输产业院1栋101"},{"sumQuantity": 104,"id": "FNgj4RPi1tiGzKebbr4rar","version": 2,"materialId": "E6Sdqv1JjR4HOzExdR2pi1","quantity": 4,"warehouseId": "IQotvqjOcr3IknflrjDta4","updateTime": "2025-02-28 13:15:00","materialName": "物资B","warehouseName": "库房1","warehouseAddress": "物流运输产业院1栋101"},{"sumQuantity": 104,"id": "KzS27athAsOGPLGviZk4OF","version": 0,"materialId": "E6Sdqv1JjR4HOzExdR2pi1","quantity": 100,"warehouseId": "IBU9sfUgWhcG0RglQB8urC","updateTime": "2025-02-28 10:51:51","materialName": "物资B","warehouseName": "产业园3号4栋","warehouseAddress": "产业园3号4栋"},{"sumQuantity": 104,"id": "KQ6z4WBmWmQJPvVQE9Px2G","version": 0,"materialId": "Ki7FlrYpS9UGpQcSyeZYap","quantity": 100,"warehouseId": "IBU9sfUgWhcG0RglQB8urC","updateTime": "2025-02-28 10:51:51","materialName": "E","warehouseName": "产业园3号4栋","warehouseAddress": "产业园3号4栋"},{"sumQuantity": 104,"id": "JM3W9JYTNYSItMBLxDOUBf","version": 1,"materialId": "Ki7FlrYpS9UGpQcSyeZYap","quantity": 4,"warehouseId": "IQotvqjOcr3IknflrjDta4","updateTime": "2025-02-28 08:44:18","materialName": "E","warehouseName": "库房1","warehouseAddress": "物流运输产业院1栋101"}
]

执行this.convertData(xxxData)后的数据结构为

[{"sumQuantity": 100,"id": "IMilokafkwdIAmWmrlAjLX","version": 1,"materialId": "1","quantity": 0,"warehouseId": "IQotvqjOcr3IknflrjDta4","updateTime": "2025-02-28 13:15:00","materialName": "沙袋","warehouseName": "库房1","warehouseAddress": "物流运输产业院1栋101","warehouseNameRowSpan": 1,"sumQuantityRowSpan": 2,"materialNameRowSpan": 2},{"sumQuantity": 100,"id": "D0TpUNP3oF6J8DGFVBDX1v","version": 0,"materialId": "1","quantity": 100,"warehouseId": "IBU9sfUgWhcG0RglQB8urC","updateTime": "2025-02-28 10:51:51","materialName": "沙袋","warehouseName": "产业园3号4栋","warehouseAddress": "产业园3号4栋","warehouseNameRowSpan": 1,"sumQuantityRowSpan": 0,"materialNameRowSpan": 0},{"sumQuantity": 100,"id": "BRmOAec1CbeKTnnnmwefxF","version": 0,"materialId": "3","quantity": 100,"warehouseId": "IBU9sfUgWhcG0RglQB8urC","updateTime": "2025-02-28 10:51:51","materialName": "铁锹","warehouseName": "产业园3号4栋","warehouseAddress": "产业园3号4栋","warehouseNameRowSpan": 1,"sumQuantityRowSpan": 1,"materialNameRowSpan": 1},{"sumQuantity": 101,"id": "JGGKndrPSaVIlvDL8tG3Ea","version": 0,"materialId": "BtjEnxJslGMG3Ns3ZMtcVi","quantity": 100,"warehouseId": "IBU9sfUgWhcG0RglQB8urC","updateTime": "2025-02-28 10:51:51","materialName": "C","warehouseName": "产业园3号4栋","warehouseAddress": "产业园3号4栋","warehouseNameRowSpan": 1,"sumQuantityRowSpan": 2,"materialNameRowSpan": 2},{"sumQuantity": 101,"id": "F7GtvxU2hY8HqPHF90AMpn","version": 3,"materialId": "BtjEnxJslGMG3Ns3ZMtcVi","quantity": 1,"warehouseId": "IQotvqjOcr3IknflrjDta4","updateTime": "2025-02-28 13:15:00","materialName": "C","warehouseName": "库房1","warehouseAddress": "物流运输产业院1栋101","warehouseNameRowSpan": 1,"sumQuantityRowSpan": 0,"materialNameRowSpan": 0},{"sumQuantity": 104,"id": "FNgj4RPi1tiGzKebbr4rar","version": 2,"materialId": "E6Sdqv1JjR4HOzExdR2pi1","quantity": 4,"warehouseId": "IQotvqjOcr3IknflrjDta4","updateTime": "2025-02-28 13:15:00","materialName": "物资B","warehouseName": "库房1","warehouseAddress": "物流运输产业院1栋101","warehouseNameRowSpan": 1,"sumQuantityRowSpan": 2,"materialNameRowSpan": 2},{"sumQuantity": 104,"id": "KzS27athAsOGPLGviZk4OF","version": 0,"materialId": "E6Sdqv1JjR4HOzExdR2pi1","quantity": 100,"warehouseId": "IBU9sfUgWhcG0RglQB8urC","updateTime": "2025-02-28 10:51:51","materialName": "物资B","warehouseName": "产业园3号4栋","warehouseAddress": "产业园3号4栋","warehouseNameRowSpan": 1,"sumQuantityRowSpan": 0,"materialNameRowSpan": 0},{"sumQuantity": 104,"id": "KQ6z4WBmWmQJPvVQE9Px2G","version": 0,"materialId": "Ki7FlrYpS9UGpQcSyeZYap","quantity": 100,"warehouseId": "IBU9sfUgWhcG0RglQB8urC","updateTime": "2025-02-28 10:51:51","materialName": "E","warehouseName": "产业园3号4栋","warehouseAddress": "产业园3号4栋","warehouseNameRowSpan": 1,"sumQuantityRowSpan": 2,"materialNameRowSpan": 2},{"sumQuantity": 104,"id": "JM3W9JYTNYSItMBLxDOUBf","version": 1,"materialId": "Ki7FlrYpS9UGpQcSyeZYap","quantity": 4,"warehouseId": "IQotvqjOcr3IknflrjDta4","updateTime": "2025-02-28 08:44:18","materialName": "E","warehouseName": "库房1","warehouseAddress": "物流运输产业院1栋101","warehouseNameRowSpan": 1,"sumQuantityRowSpan": 0,"materialNameRowSpan": 0}
]

前端部分代码

描述：1、计算每个字段（materialName）rowSpan [使用递归计算出的materialNameRowSpan存入行记录]
2、设置组件的columns,使用customRender 参见ant-design-vue文档中Column对象 使用的 API
注意：自定义需要合并字段数组，根据顺序合并字段值相同的行

methods部分函数如下

// 获取需要合并数据的rowSpanconvertData(arr, levelIndex = 0) {const levelKey = this.sortLevelconst key = levelKey[levelIndex]// 根据不同维度重新整合数据let groupObj = this.groupBy(arr, key) || {}Object.keys(groupObj).forEach((groupKey) => {if (levelIndex < levelKey.length - 1) {groupObj[groupKey] = this.convertData(groupObj[groupKey], levelIndex + 1)}// 计算rowSpangroupObj[groupKey].forEach((item, index, arr) => {item[`${key}RowSpan`] = index === 0 ? arr.length : 0})})return Object.values(groupObj).flat()},// 根据属性分组groupBy(arr = [], key) {let obj = {}arr.forEach((item) => {const val = item[key]if (!obj[val]) {obj[val] = []}obj[val].push(item)})return obj},

a-table组件columns设置如下

const materialNameRender = (value, row, index) => {return {children: value,attrs: {rowSpan: row.materialNameRowSpan,},}
}
const sumQuantityRender = (value, row, index) => {return {children: value,attrs: {rowSpan: row.sumQuantityRowSpan,},}
}
data(){
const tableColumns = [{title: "物资名称",align: "center",dataIndex: "materialName",key: "materialName",customRender: materialNameRender,},{title: "物资数量",align: "center",dataIndex: "sumQuantity",key: "sumQuantity",customRender: sumQuantityRender,},{title: "库房库位",children: [{title: "名称",dataIndex: "warehouseName",key: "warehouseName",align: "center",},{title: "地址",dataIndex: "warehouseAddress",key: "warehouseAddress",align: "center",},{title: "数量",align: "center",dataIndex: "quantity",key: "quantity",},],},{title: "更新时间",align: "center",dataIndex: "updateTime",key: "updateTime",},]return {tableColumns,sortLevel: ["materialName", "sumQuantity", "warehouseName"],}
}

示例效果

总结

纯前端实现清洗数据+表格合并 ，关键点在于前端数据结构，获取合并列的rowSpan，配合customRender，设置变量存储合并列字段顺序数组（sortLevel），能自定义实现字段值相同的则被合并行