Nebula-Algorithm is a Spark Application based on GraphX, which enables state of art Graph Algorithms to run on top of NebulaGraph and write back results to NebulaGraph.
Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.
0049004031 seems not to be a GitHub user. You need a GitHub account to be able to sign the CLA. If you have already a GitHub account, please add the email address used for this commit to your account. You have signed the CLA already but the status is still pending? Let us recheck it.
2.DFS算法中的全局变量使用完为重置为0,导致多次执行DFS后itemNum的值总是大于maxIter以致于DFS算法没有结果
What type of PR is this?
What problem(s) does this PR solve?
Issue(s) number:
Description:
1.ClusteringCoefficientAlgo参数为local时计算结果没有保留小数,所以总为0或1 2.DFS算法中的全局变量使用完为重置为0,导致多次执行DFS后itemNum的值总是大于maxIter以致于DFS算法没有结果
How do you solve it?
Special notes for your reviewer, ex. impact of this fix, design document, etc: