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JVM module to use CatBoost on Apache Spark
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package ai.catboost.spark.impl
import java.nio.file.{Files,Path}
import java.nio.charset.StandardCharsets
import java.util.concurrent.{ExecutorCompletionService,Future}
private[spark] object Helpers {
def writeToTempFile(
content: String,
tmpFilePrefix: String,
tmpFileSuffix: Option[String] = None
) : Path = {
val tempFile = Files.createTempFile(tmpFilePrefix, tmpFileSuffix.getOrElse(".tmp"))
tempFile.toFile.deleteOnExit
Files.write(tempFile, content.getBytes(StandardCharsets.UTF_8))
tempFile
}
def checkOneFutureAndWaitForOther(
future1: Future[Unit],
future1Description: String,
future2: Future[Unit],
future2Description: String
) = {
try {
future1.get
} catch {
case e : java.util.concurrent.ExecutionException => {
future2.cancel(true)
throw new java.util.concurrent.ExecutionException(
"Error while executing " + future1Description,
e.getCause
)
}
}
try {
future2.get
} catch {
case e : java.util.concurrent.ExecutionException => {
throw new java.util.concurrent.ExecutionException(
"Error while executing " + future2Description,
e.getCause
)
}
}
}
def waitForTwoFutures(
ecs: ExecutorCompletionService[Unit],
future1: Future[Unit],
future1Description: String,
future2: Future[Unit],
future2Description: String
) = {
val firstCompletedFuture = ecs.take()
if (firstCompletedFuture == future1) {
checkOneFutureAndWaitForOther(future1, future1Description, future2, future2Description)
} else {
checkOneFutureAndWaitForOther(future2, future2Description, future1, future1Description)
}
}
}
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