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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.repl
import java.io.File
import scala.tools.nsc.GenericRunnerSettings
import org.apache.spark._
import org.apache.spark.internal.config.CATALOG_IMPLEMENTATION
import org.apache.spark.internal.Logging
import org.apache.spark.sql.SparkSession
import org.apache.spark.util.Utils
object Main extends Logging {
initializeLogIfNecessary(true)
val conf = new SparkConf()
val rootDir = conf.getOption("spark.repl.classdir").getOrElse(Utils.getLocalDir(conf))
val outputDir = Utils.createTempDir(root = rootDir, namePrefix = "repl")
var sparkContext: SparkContext = _
var sparkSession: SparkSession = _
// this is a public var because tests reset it.
var interp: SparkILoop = _
private var hasErrors = false
private def scalaOptionError(msg: String): Unit = {
hasErrors = true
Console.err.println(msg)
}
def main(args: Array[String]) {
doMain(args, new SparkILoop)
}
// Visible for testing
private[repl] def doMain(args: Array[String], _interp: SparkILoop): Unit = {
interp = _interp
val jars = Utils.getUserJars(conf, isShell = true).mkString(File.pathSeparator)
val interpArguments = List(
"-Yrepl-class-based",
"-Yrepl-outdir", s"${outputDir.getAbsolutePath}",
"-classpath", jars
) ++ args.toList
val settings = new GenericRunnerSettings(scalaOptionError)
settings.processArguments(interpArguments, true)
if (!hasErrors) {
interp.process(settings) // Repl starts and goes in loop of R.E.P.L
Option(sparkContext).map(_.stop)
}
}
def createSparkSession(): SparkSession = {
val execUri = System.getenv("SPARK_EXECUTOR_URI")
conf.setIfMissing("spark.app.name", "Spark shell")
// SparkContext will detect this configuration and register it with the RpcEnv's
// file server, setting spark.repl.class.uri to the actual URI for executors to
// use. This is sort of ugly but since executors are started as part of SparkContext
// initialization in certain cases, there's an initialization order issue that prevents
// this from being set after SparkContext is instantiated.
conf.set("spark.repl.class.outputDir", outputDir.getAbsolutePath())
if (execUri != null) {
conf.set("spark.executor.uri", execUri)
}
if (System.getenv("SPARK_HOME") != null) {
conf.setSparkHome(System.getenv("SPARK_HOME"))
}
val builder = SparkSession.builder.config(conf)
if (conf.get(CATALOG_IMPLEMENTATION.key, "hive").toLowerCase == "hive") {
if (SparkSession.hiveClassesArePresent) {
// In the case that the property is not set at all, builder's config
// does not have this value set to 'hive' yet. The original default
// behavior is that when there are hive classes, we use hive catalog.
sparkSession = builder.enableHiveSupport().getOrCreate()
logInfo("Created Spark session with Hive support")
} else {
// Need to change it back to 'in-memory' if no hive classes are found
// in the case that the property is set to hive in spark-defaults.conf
builder.config(CATALOG_IMPLEMENTATION.key, "in-memory")
sparkSession = builder.getOrCreate()
logInfo("Created Spark session")
}
} else {
// In the case that the property is set but not to 'hive', the internal
// default is 'in-memory'. So the sparkSession will use in-memory catalog.
sparkSession = builder.getOrCreate()
logInfo("Created Spark session")
}
sparkContext = sparkSession.sparkContext
Signaling.cancelOnInterrupt(sparkContext)
sparkSession
}
}
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