1)是否有一种类似于数据表的类星体表列过滤方法? https://datatables.net/extensions/fixedheader/examples/options/columnFiltering.html
理想情况下,它将是一个自动填充的文本字段,它将过滤表中的所有行。我有一个包含25列的表格,所以想要一些健壮的东西。
2)关于数据过滤后端部分的任何建议?我应该使用过滤器调用数据库还是在客户端和过滤器客户端存储主列表?
答案 0 :(得分:2)
检查新的准扩展QGrid,它允许使用列过滤器。
答案 1 :(得分:0)
可以用 Lodash 来完成。
以下代码使用选择或文本输入实现过滤器。
当心,这只是客户端。
<template>
<q-page padding>
<div class="row q-my-lg">
<div class="col-3">
<q-select style="width:250px" filled v-model="dessert" :options="desserts" :label="dessert" stack-label dense @input="filterLocation"></q-select>
</div>
<div class="col-2">
<q-input dense @input="searchByDessert" hint="search by dessert" v-model="dessertName" maxlength="25" ></q-input>
</div>
</div>
<div class="row">
<div class="col">
<q-table
title="Treats"
:data="data"
:columns="columns"
row-key="name"
:filter="filter"
:filter-method="filterData"
></q-table>
</div>
</div>
</q-page>
</template>
<script>
const lodash = require('lodash')
export default {
name: 'PageIndex',
data () {
return {
dessert: '',
desserts: [],
dessertName: '',
filter: { value: '' },
calorie: '',
columns: [
{
name: 'name',
required: true,
label: 'Dessert (100g serving)',
align: 'left',
field: row => row.name,
format: val => `${val}`,
sortable: true
},
{ name: 'calories', align: 'center', label: 'Calories', field: 'calories', sortable: true },
{ name: 'fat', label: 'Fat (g)', field: 'fat', sortable: true },
{ name: 'carbs', label: 'Carbs (g)', field: 'carbs' },
{ name: 'protein', label: 'Protein (g)', field: 'protein' },
{ name: 'sodium', label: 'Sodium (mg)', field: 'sodium' },
{ name: 'calcium', label: 'Calcium (%)', field: 'calcium', sortable: true, sort: (a, b) => parseInt(a, 10) - parseInt(b, 10) },
{ name: 'iron', label: 'Iron (%)', field: 'iron', sortable: true, sort: (a, b) => parseInt(a, 10) - parseInt(b, 10) }
],
data: [
{
name: 'Frozen Yogurt',
calories: 159,
fat: 6.0,
carbs: 24,
protein: 4.0,
sodium: 87,
calcium: '14%',
iron: '1%'
},
{
name: 'Ice cream sandwich',
calories: 237,
fat: 9.0,
carbs: 37,
protein: 4.3,
sodium: 129,
calcium: '8%',
iron: '1%'
},
{
name: 'Eclair',
calories: 262,
fat: 16.0,
carbs: 23,
protein: 6.0,
sodium: 337,
calcium: '6%',
iron: '7%'
},
{
name: 'Cupcake',
calories: 305,
fat: 3.7,
carbs: 67,
protein: 4.3,
sodium: 413,
calcium: '3%',
iron: '8%'
},
{
name: 'Gingerbread',
calories: 356,
fat: 16.0,
carbs: 49,
protein: 3.9,
sodium: 327,
calcium: '7%',
iron: '16%'
},
{
name: 'Jelly bean',
calories: 375,
fat: 0.0,
carbs: 94,
protein: 0.0,
sodium: 50,
calcium: '0%',
iron: '0%'
},
{
name: 'Lollipop',
calories: 392,
fat: 0.2,
carbs: 98,
protein: 0,
sodium: 38,
calcium: '0%',
iron: '2%'
},
{
name: 'Honeycomb',
calories: 408,
fat: 3.2,
carbs: 87,
protein: 6.5,
sodium: 562,
calcium: '0%',
iron: '45%'
},
{
name: 'Donut',
calories: 452,
fat: 25.0,
carbs: 51,
protein: 4.9,
sodium: 326,
calcium: '2%',
iron: '22%'
},
{
name: 'KitKat',
calories: 518,
fat: 26.0,
carbs: 65,
protein: 7,
sodium: 54,
calcium: '12%',
iron: '6%'
}
],
database: null
}
},
mounted () {
this.database = this.data
const desserts = {}
this.data.forEach(function (element) {
desserts[element.name] = 1
})
this.desserts = Object.keys(desserts)
},
methods: {
searchByDessert (val) {
if (val === '') {
this.data = this.this.database
return this.data
}
const needle = val.toLowerCase()
this.data = lodash.filter(this.database, function (object) {
return object.name.toLowerCase().indexOf(needle) > -1
})
},
filterLocation (value) {
this.data = this.database
this.filter = { value: value }
},
filterData () {
if (this.data.length > 2 && this.filter.value) {
return lodash.filter(this.data, function (o) {
return o.name === this.filter.value
}.bind(this)
)
} else {
return this.data
}
}
}
}
</script>