我对弹性搜索和kibana非常新。我在kibana可视化中使用vega插件。 但是无法使用弹性搜索aggs创建条形图。 当我使用kibana dev工具时,我得到了正确的结果。
我在运行此示例代码后附加了以下详细信息我得到一个空白页
{
"$schema": "https://vega.github.io/schema/vega/v3.0.json",
"autosize": "fit",
"padding": 6,
"data": [
{
"name": "traffic-revenue",
"url": {
"index": "brnl_tms_plaza",
"body": {
"size": "0",
"aggs": {
"group_by_vehicle_subcat": {
"terms": {
"field": "VehicleSubCatCode.keyword"
}
}
}
},
"format": {
"property": "aggregations.group_by_vehicle_subcat.buckets"
}
}
}
],
"scales": [
{
"name": "xscale",
"type": "band",
"domain": {
"data": "traffic-revenue",
"field": "key"
},
"range": "width",
"padding": 0.05,
"round": true
},
{
"name": "yscale",
"domain": {
"data": "traffic-revenue",
"field": "doc_count"
},
"nice": true,
"range": "height"
}
],
"axes": [
{
"orient": "bottom",
"scale": "xscale"
},
{"orient": "left", "scale": "yscale"}
],
"marks": [
{
"type": "rect",
"from": {
"data": "traffic-revenue"
},
"encode": {
"enter": {
"x": {
"scale": "xscale",
"field": "key",
"axis": {"title": "Vehicle category"}
},
"width": {
"scale": "xscale",
"band": 1
},
"y": {
"scale": "yscale",
"field": "doc_count",
"axis": {"title": "Vehicle Rate Count"}
},
"y2": {
"scale": "yscale",
"value": 0
}
},
"update": {
"fill": {"value": "steelblue"}
},
"hover": {"fill": {"value": "red"}}
}
}
]
}
{
"took": 7,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 48,
"max_score": 0,
"hits": []
},
"aggregations": {
"group_by_vehicle_subcat": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "LMV",
"doc_count": 35
},
{
"key": "BUS",
"doc_count": 3
},
{
"key": "LCV",
"doc_count": 3
},
{
"key": "MAV-5",
"doc_count": 3
},
{
"key": "MAV-4 with trailer",
"doc_count": 2
},
{
"key": "MAV-3 without trailer",
"doc_count": 1
},
{
"key": "MINI-BUS",
"doc_count": 1
}
]
}
}
}
答案 0 :(得分:0)
我建议使用静态数据调试你的vega代码,以确保它被正确定义。
我不确定原因,但是当我将autosize属性设置为none并显式设置高度和宽度时,我能够绘制可视化。
这是一个基于您提供的vega规范,应该在在线vega编辑器中运行。
{
"$schema": "https://vega.github.io/schema/vega/v3.0.json",
"autosize": "none",
"width": 400,
"height": 500,
"padding": 20,
"data": [
{
"name": "traffic-revenue",
"values": [
{"key": "a", "doc_count": 5},
{"key": "b", "doc_count": 22},
{"key": "c", "doc_count": 1},
{"key": "d", "doc_count": 7},
{"key": "e", "doc_count": 12},
{"key": "f", "doc_count": 2}
]
}
],
"scales": [
{
"name": "xscale",
"type": "band",
"domain": {
"data": "traffic-revenue",
"field": "key"
},
"range": "width",
"padding": 0.05,
"round": true
},
{
"name": "yscale",
"domain": {
"data": "traffic-revenue",
"field": "doc_count"
},
"nice": true,
"range": "height"
}
],
"axes": [
{
"orient": "bottom",
"scale": "xscale"
},
{"orient": "left", "scale": "yscale"}
],
"marks": [
{
"type": "rect",
"from": {
"data": "traffic-revenue"
},
"encode": {
"enter": {
"x": {
"scale": "xscale",
"field": "key",
"axis": {"title": "Vehicle category"}
},
"width": {
"scale": "xscale",
"band": 1
},
"y": {
"scale": "yscale",
"field": "doc_count",
"axis": {"title": "Vehicle Rate Count"}
},
"y2": {
"scale": "yscale",
"value": 0
}
},
"update": {
"fill": {"value": "steelblue"}
},
"hover": {"fill": {"value": "red"}}
}
}
]
}
您可能已经知道这一点,因为您的elasticsearch数据上有格式标记,但如果您的可视化使用静态定义的数据,而不是从elasticsearch查询中提取数据,请尝试直接使用这里描述的vega调试功能https://vega.github.io/vega/docs/api/debugging/。
在浏览器控制台中运行以下内容可让您查看vega正在接收它的格式的数据。 VEGA_DEBUG.view.data("&#34)