Question

我的目标是在junit测试中启动localhost elasticsearch节点，这样我就可以索引一些文档，并通过高级别的rest客户端测试搜索查询（例如，对localhost ES节点进行http调用）。我使用的是Elasticsearch 6.2。

这是我试过的代码

    String clusterName = "test";
    Settings settings = Settings.builder()
            .put("path.home", ES_WORKING_DIR)
            .build();
    new Node(settings).start();

这是我收到的错误信息..

java.lang.IllegalStateException: Unsupported transport.type []

at __randomizedtesting.SeedInfo.seed([74752622FDACDD5:AB9FD863FD5A2A5F]:0)
at org.elasticsearch.common.network.NetworkModule.getTransportSupplier(NetworkModule.java:212)
at org.elasticsearch.node.Node.<init>(Node.java:427)
at org.elasticsearch.node.Node.<init>(Node.java:246)
at org.elasticsearch.node.Node.<init>(Node.java:242)

基本上，我不确定在“设置”中设置哪些参数。

提前致谢。

Answer 1

我有

#rm(list=ls())
gc()
#setwd('/******/Desktop/Applied/isds 574/R')
dat = read.csv('cleaned.csv', stringsAsFactors=T, head=T)

#dropping Longtitude and Latitude
dat$longitude = NULL 
dat$latitude = NULL
dat$X = NULL


#Factors 

dat$ocean_proxy_dummy = as.factor(dat$ocean_proxy_dummy)

# divide the data into 2 sets: training and validation
set.seed(1) 
id.train = sample(1:nrow(dat), nrow(dat)*.6) 
id.test = setdiff(1:nrow(dat), id.train) 

#KNN2
library(FNN)
Knn.reg.bestK = function(xtrain, xtest, ytrain, ytest, Kmax = 10) { 
  vec.rmse = rep(NA, Kmax) 
  for (K in 1:Kmax) { 
    yhat.test = Knn.reg(xtrain, xtest, ytrain, k)$pred 
    vec.rmse[K] = rmse(yhat.test, ytest) 
  }  
  list(K.opt = which.min(vec.rmse), rmse.min = min(vec.rmse), vec.rmse)
}

Elasticsearch 6.2在单元测试

1 个答案: