Работа с кластером на языке R
reysand - 3 июля, 2025 - 13:12
Пример программы на R (example.R):
library(SparkR)
# Initialize SparkSession
sparkR.session(appName = "SparkR-DataFrame-example")
# Create a simple local data.frame
localDF <- data.frame(name=c("John", "Smith", "Sarah"), age=c(19, 23, 18))
# Convert local data frame to a SparkDataFrame
df <- createDataFrame(localDF)
# Print its schema
printSchema(df)
# root
# |-- name: string (nullable = true)
# |-- age: double (nullable = true)
# Create a DataFrame from a JSON file
path <- file.path(Sys.getenv("SPARK_HOME"), "examples/src/main/resources/people.json")
peopleDF <- read.json(path)
printSchema(peopleDF)
# root
# |-- age: long (nullable = true)
# |-- name: string (nullable = true)
# Register this DataFrame as a table.
createOrReplaceTempView(peopleDF, "people")
# SQL statements can be run by using the sql methods
teenagers <- sql("SELECT name FROM people WHERE age >= 13 AND age <= 19")
# Call collect to get a local data.frame
teenagersLocalDF <- collect(teenagers)
# Print the teenagers in our dataset
print(teenagersLocalDF)
# Stop the SparkSession now
sparkR.session.stop()
Запуск программы на кластере:
spark-submit --jars /opt/spark-plugins/rapids-4-spark_2.12-25.06.0.jar example.R
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