spark graphx中图查询方法代码
时间: 2023-07-23 12:43:56 浏览: 162
sparkgraphx图计算
在 Spark GraphX 中,可以使用 `Graph` 类提供的方法进行图查询。以下是几个常用的方法及示例代码:
1. 获取所有顶点:
```scala
val graph: Graph[Int, Double] = ...
val vertices = graph.vertices.collect()
```
2. 获取所有边:
```scala
val graph: Graph[Int, Double] = ...
val edges = graph.edges.collect()
```
3. 获取所有入度为 0 的顶点:
```scala
val graph: Graph[Int, Double] = ...
val zeroInDegreeVertices = graph.inDegrees.filter(_._2 == 0).map(_._1).collect()
```
4. 获取所有出度为 0 的顶点:
```scala
val graph: Graph[Int, Double] = ...
val zeroOutDegreeVertices = graph.outDegrees.filter(_._2 == 0).map(_._1).collect()
```
5. 获取指定顶点的所有出边:
```scala
val graph: Graph[Int, Double] = ...
val vertexId = 1L
val outEdges = graph.edges.filter(_.srcId == vertexId).collect()
```
6. 获取指定顶点的所有入边:
```scala
val graph: Graph[Int, Double] = ...
val vertexId = 1L
val inEdges = graph.edges.filter(_.dstId == vertexId).collect()
```
7. 获取指定顶点的所有邻居:
```scala
val graph: Graph[Int, Double] = ...
val vertexId = 1L
val neighbors = graph.collectNeighborIds(EdgeDirection.Either).lookup(vertexId).head
```
以上是常用的几个图查询方法,你可以根据自己的需求来选择合适的方法。
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