dap=# select * from demo.f_get_rel(7,0,3); direct | cur_depth | up_node | down_node | trace ——–+———–+———+———–+———– 1 | 1 | 7 | 2 | {7,2} 1 | 1 | 7 | 4 | {7,4} 1 | 2 | 2 | 4 | {7,2,4} -1 | 1 | 3 | 7 | {3,7} -1 | 1 | 4 | 7 | {4,7} -1 | 1 | 5 | 7 | {5,7} -1 | 2 | 2 | 4 | {2,4,7} -1 | 2 | 6 | 5 | {6,5,7} -1 | 3 | 1 | 2 | {1,2,4,7} -1 | 3 | 5 | 2 | {5,2,4,7} (10 rows)
图形显示结果
ECharts模板
在没有集成图形界面之前,使用ECharts的示例代码(地址),可以直观的查看关系图谱。对官方样表进行微调之后,代码如下
注意 代码中的 data 和 links 部分需要进行替换
option = { title: { text: ‘数据图谱’ }, tooltip: {}, animationDurationUpdate: 1500, animationEasingUpdate: ‘quinticInOut’, series : [ { type: ‘graph’, layout: ‘force’, force: { repulsion: 1000 }, focusNodeAdjacency: true, symbolSize: 30, roam: true, label: { normal: { show: true } }, edgeSymbol: [‘circle’, ‘arrow’], edgeSymbolSize: [4, 10], edgeLabel: { normal: { textStyle: { fontSize: 20 } } }, data: [ { name:”2″, draggable: true, symbolSize:20}, ], links: [ { source:”2″, target:”4″}, ],
} ] };
造显示用数据
构造 data 部分
— 根据节点的关联点数量,设置图形大小 with rel as (select * from f_get_rel(7,0,2)), up_nodes as (select up_node, count(distinct down_node) as out_cnt from rel group by up_node), down_nodes as (select down_node, count(distinct up_node) as in_cnt from rel group by down_node), node_cnt as ( select up_node as node, out_cnt as cnt from up_nodes union all select * from down_nodes ) select ‘{ name:”‘ || n.node || ‘”, draggable: true, symbolSize:’ || sum(n.cnt) * 10 || ‘},’ as node from node_cnt n group by n.node order by 1;
构造 links 部分
select distinct r.up_node, r.down_node, ‘{ source:”‘|| r.up_node ||'”, target:”‘|| r.down_node ||'”},’ as links from f_get_rel(7,0,3) r order by r.up_node ;
图形显示
把构造的data和links替换到ECharts代码里面
查询节点7的所有2度关联节点信息,结果显示如下

查询节点7的所有关联节点信息(不限层级数),结果显示如下

本文来自脚本之家,原文链接:https://www.jb51.net/article/176407.htm
申请创业报道,分享创业好点子。点击此处,共同探讨创业新机遇!
本文素材来自互联网 (编辑:应用网_阳江站长网)
【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容!
|