pyspark graphframes查找大图的连通组件

Question

我试图从pyspark中的graphframes中使用connectedComponents()来计算一个相当大的图形的连通分量，该图形具有大约1800K顶点和500k边缘。

edgeDF.printSchema()
root
 |-- src: string (nullable = true)
 |-- dst: string (nullable = true)


vertDF.printSchema()
root
 |-- id: string (nullable = true)

vertDF.count()
1879806

edgeDF.count()
452196

custGraph = gf.GraphFrame(vertDF,edgeDF)

comp = custGraph.connectedComponents()

即使在6小时后，任务还没有结束。我在一台带有windows的机器上运行pyspark

一个。在给定的设置中进行这样的计算是否可行？

湾我收到了警告信息，如下面的

[rdd_73_2, rdd_90_2]
[Stage 21:=========>        (2 + 2) / 4][Stage 22:>                 (0 + 2) / 4]16/10/13 01:28:42 WARN Executor: 2 block locks were not released by TID = 632:

[rdd_73_0, rdd_90_0]
[Stage 21:=============>    (3 + 1) / 4][Stage 22:>                 (0 + 3) / 4]16/10/13 01:28:43 WARN Executor: 2 block locks were not released by TID = 633:

[rdd_73_1, rdd_90_1]
[Stage 37:>                 (0 + 4) / 4][Stage 38:>                 (0 + 0) / 4]16/10/13 01:28:47 WARN Executor: 3 block locks were not released by TID = 844:

[rdd_90_0, rdd_104_0, rdd_107_0]

这是什么意思？

℃。我们如何指定图表在图表框架中是无向的？我们需要在两个方向上添加边缘吗？