我正在尝试使用以下参数创建Spark连接：

library(sparklyr)

conf <- spark_config()
conf$`sparklyr.cores.local` <- 6
conf$`sparklyr.shell.driver-memory` <- "16G"
conf$`spark.executor.cores` <- 2
conf$`spark.executor.memory` <- "2G"
conf$`sparklyr.verbose` <- TRUE
conf$`sparklyr.log.console` <- TRUE
conf$`spark.executor.instances` <- 4
conf$`spark.dynamicAllocation.enabled` <- FALSE

sc <- spark_connect(master = "local", config = conf, log = "console", version = "3.0.0")

它确实连接并正确地显示 spark_session_config(sc) :

$spark.executor.instances
[1] "4"

$spark.executor.cores
[1] "2"

$spark.driver.memory
[1] "16G"

$spark.master
[1] "local[16]"

$spark.sql.shuffle.partitions
[1] "16"

$spark.sql.legacy.utcTimestampFunc.enabled
[1] "true"

$spark.dynamicAllocation.enabled
[1] "false"

$spark.driver.port
[1] "65404"

$spark.submit.deployMode
[1] "client"

$spark.executor.id
[1] "driver"

$spark.jars
[1] "file:/C:/Users/B2623385/Documents/R/win-library/3.6/sparklyr/java/sparklyr-3.0-2.12.jar"

$spark.submit.pyFiles
[1] ""

$spark.app.id
[1] "local-1600432415127"

$spark.env.SPARK_LOCAL_IP
[1] "127.0.0.1"

$spark.sql.catalogImplementation
[1] "hive"

$spark.executor.memory
[1] "2G"

$spark.spark.port.maxRetries
[1] "128"

$spark.app.name
[1] "sparklyr"

$spark.home
[1] "C:\\Users\\B2623385\\AppData\\Local\\spark\\spark-3.0.0-bin-hadoop2.7"

$spark.driver.host
[1] "127.0.0.1"

然而，当我去 http://127.0.0.1:4040/executors/ ，这表明我只运行了驱动程序执行器：

我已经尝试过切换spark的版本，并且还声明了一个最简陋的环境，但是，我不断遇到同样的问题。我错过了什么？
我的最终目标是 copy_to() 一个data.frame进入spark连接，r继续运行，而 http://127.0.0.1:4040/executors/ 看来什么都没发生。