test case to reproduce "Wrong Transports: 1" message

[jmzhoulab]

input graph:
1 3
1 4
1 5
1 6
2 3
2 4
2 5
2 6

spark version: 2.1.0
the parms as flow:
{
w2vIter: 10,
w2vLr: 0.025,
w2vPartitions: 1,
w2vDim: 128,
w2vWindow: 10,
walkLength: 20,
numWalks: 10,
p: 1.0,
q: 1.0,
weighted: true,
directed: false,
input: /user/kgalg/node2vec/graph/karate.edgelist,
output: /user/kgalg/node2vec/randomwalk,
rddPartitions: 200,
singleOutput: true,
partitioned: true,
cmd: randomwalk
}

running log:
randomwalk.log

Q1: why does "Wrong Transports: 1" often appear in log file?
Q2: what triggers the "ERROR org.apache.spark.internal.Logging$class.logError" message in the output?
Q3: Are these two issues related to spark version? spark2.1.0 does work?

[HongHuangNeu]

@shps We notice the same thing: If we run the program in local mode, the result is correct. However, when you run the application in standalone mode, the following line:

https://github.com/data61/stellar-random-walk/blob/master/randomwalk/src/main/scala/au/csiro/data61/randomwalk/algorithm/VCutRandomWalk.scala#L112

results in empty GraphMap object outside the mapPartitionWithIndex method. Besides, manipulating an object inside each partition seems very strange. Is it correct?