[GitHub] [spark] surnaik commented on a diff in pull request #41856: [SPARK-44301][SQL] Add Benchmark Suite for TPCH

["surnaik (via GitHub)" <gi...@apache.org>]

surnaik commented on code in PR #41856:
URL: https://github.com/apache/spark/pull/41856#discussion_r1255671079


##########
sql/core/src/test/scala/org/apache/spark/sql/GenTPCData.scala:
##########
@@ -0,0 +1,445 @@
+/*
+ * 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.sql
+
+import java.util.concurrent.LinkedBlockingQueue
+
+import scala.sys.process._
+import scala.util.Try
+
+import org.apache.spark.SparkContext
+import org.apache.spark.internal.Logging
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.functions.{col, rpad}
+import org.apache.spark.sql.types.{CharType, StringType, StructField, StructType, VarcharType}
+
+// The classes in this file are basically moved from https://github.com/databricks/spark-sql-perf
+
+/**
+ * Using ProcessBuilder.lineStream produces a stream, that uses
+ * a LinkedBlockingQueue with a default capacity of Integer.MAX_VALUE.
+ *
+ * This causes OOM if the consumer cannot keep up with the producer.
+ *
+ * See scala.sys.process.ProcessBuilderImpl.lineStream
+ */
+object BlockingLineStream {
+
+  // See scala.sys.process.Streamed
+  private final class BlockingStreamed[T](
+      val process: T => Unit,
+      val done: Int => Unit,
+      val stream: () => Stream[T])
+
+  // See scala.sys.process.Streamed
+  private object BlockingStreamed {
+    // scala.process.sys.Streamed uses default of Integer.MAX_VALUE,
+    // which causes OOMs if the consumer cannot keep up with producer.
+    val maxQueueSize = 65536
+
+    def apply[T](nonzeroException: Boolean): BlockingStreamed[T] = {
+      val q = new LinkedBlockingQueue[Either[Int, T]](maxQueueSize)
+
+      def next(): Stream[T] = q.take match {
+        case Left(0) => Stream.empty
+        case Left(code) =>
+          if (nonzeroException) scala.sys.error("Nonzero exit code: " + code) else Stream.empty
+        case Right(s) => Stream.cons(s, next())
+      }
+
+      new BlockingStreamed((s: T) => q put Right(s), code => q put Left(code), () => next())
+    }
+  }
+
+  // See scala.sys.process.ProcessImpl.Spawn
+  private object Spawn {
+    def apply(f: => Unit): Thread = apply(f, daemon = false)
+    def apply(f: => Unit, daemon: Boolean): Thread = {
+      val thread = new Thread() { override def run() = { f } }
+      thread.setDaemon(daemon)
+      thread.start()
+      thread
+    }
+  }
+
+  def apply(command: Seq[String]): Stream[String] = {
+    val streamed = BlockingStreamed[String](true)
+    val process = command.run(BasicIO(false, streamed.process, None))
+    Spawn(streamed.done(process.exitValue()))
+    streamed.stream()
+  }
+}
+
+trait DataGenerator extends Serializable {
+  protected val toolsDir: String
+
+  protected def generateData(
+      sparkContext: SparkContext,
+      tableName: String,
+      partitions: Int,
+      scaleFactor: Int,
+      command: String): RDD[String] = {
+    val generatedData = {
+      sparkContext.parallelize(1 to partitions, partitions).flatMap { i =>
+        val localToolsDir = if (new java.io.File(toolsDir).exists) {
+          toolsDir
+        } else if (new java.io.File(s"/$toolsDir").exists) {
+          s"/$toolsDir"
+        } else {
+          throw new IllegalStateException(
+            s"Could not find tools at $toolsDir or /$toolsDir. Run install")
+        }
+
+        val parallel = if (partitions > 1) s"-parallel $partitions -child $i" else ""
+        val commands = Seq("bash", "-c", s"cd $localToolsDir && $command $parallel")
+        BlockingLineStream(commands)
+      }
+    }
+
+    generatedData.setName(s"$tableName, sf=$scaleFactor, strings")
+    generatedData
+  }
+
+  def generate(
+      sparkContext: SparkContext,
+      tableName: String,
+      partitions: Int,
+      scaleFactor: Int): RDD[String]
+}
+
+class Dsdgen(dsdgenDir: String) extends DataGenerator with Serializable {
+  override protected val toolsDir: String = s"$dsdgenDir"
+
+  override def generate(
+      sparkContext: SparkContext,
+      tableName: String,
+      partitions: Int,
+      scaleFactor: Int): RDD[String] = {
+    val command = s"./dsdgen -table $tableName -filter Y -scale $scaleFactor -RNGSEED 100"
+    generateData(sparkContext, tableName, partitions, scaleFactor, command)
+  }
+}
+
+class Dbgen(dbgenDir: String, params: Seq[String])
+  extends DataGenerator with Serializable {
+  override protected val toolsDir: String = s"$dbgenDir"
+  override def generate(
+      sparkContext: SparkContext,
+      tableName: String,
+      partitions: Int,
+      scaleFactor: Int): RDD[String] = {
+    val shortTableNames = Map(
+      "customer" -> "c",
+      "lineitem" -> "L",
+      "nation" -> "n",
+      "orders" -> "O",
+      "part" -> "P",
+      "region" -> "r",
+      "supplier" -> "s",
+      "partsupp" -> "S"
+    )
+    val paramsString = params.mkString(" ")
+    val command = s"./dbgen -q $paramsString -T ${shortTableNames(tableName)} -s $scaleFactor"
+    generateData(sparkContext, tableName, partitions, scaleFactor, command)
+  }
+}
+
+trait TableGenerator extends Serializable with Logging {
+  protected val dataGenerator: DataGenerator
+  protected val sparkSQLContext: SQLContext

Review Comment:
   Thanks, didn't know this.



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