org.apache.comet.fuzz.Main.scala Maven / Gradle / Ivy
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* 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
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* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.comet.fuzz
import scala.util.Random
import org.rogach.scallop.{ScallopConf, Subcommand}
import org.rogach.scallop.ScallopOption
import org.apache.spark.sql.SparkSession
class Conf(arguments: Seq[String]) extends ScallopConf(arguments) {
object generateData extends Subcommand("data") {
val numFiles: ScallopOption[Int] = opt[Int](required = true)
val numRows: ScallopOption[Int] = opt[Int](required = true)
val numColumns: ScallopOption[Int] = opt[Int](required = true)
val excludeNegativeZero: ScallopOption[Boolean] = opt[Boolean](required = false)
}
addSubcommand(generateData)
object generateQueries extends Subcommand("queries") {
val numFiles: ScallopOption[Int] = opt[Int](required = false)
val numQueries: ScallopOption[Int] = opt[Int](required = true)
}
addSubcommand(generateQueries)
object runQueries extends Subcommand("run") {
val filename: ScallopOption[String] = opt[String](required = true)
val numFiles: ScallopOption[Int] = opt[Int](required = false)
val showMatchingResults: ScallopOption[Boolean] = opt[Boolean](required = false)
}
addSubcommand(runQueries)
verify()
}
object Main {
lazy val spark: SparkSession = SparkSession
.builder()
.getOrCreate()
def main(args: Array[String]): Unit = {
val r = new Random(42)
val conf = new Conf(args.toIndexedSeq)
conf.subcommand match {
case Some(conf.generateData) =>
DataGen.generateRandomFiles(
r,
spark,
numFiles = conf.generateData.numFiles(),
numRows = conf.generateData.numRows(),
numColumns = conf.generateData.numColumns(),
generateNegativeZero = !conf.generateData.excludeNegativeZero())
case Some(conf.generateQueries) =>
QueryGen.generateRandomQueries(
r,
spark,
numFiles = conf.generateQueries.numFiles(),
conf.generateQueries.numQueries())
case Some(conf.runQueries) =>
QueryRunner.runQueries(
spark,
conf.runQueries.numFiles(),
conf.runQueries.filename(),
conf.runQueries.showMatchingResults())
case _ =>
// scalastyle:off println
println("Invalid subcommand")
// scalastyle:on println
sys.exit(-1)
}
}
}