Github user HyukjinKwon commented on a diff in the pull request: https://github.com/apache/spark/pull/21977#discussion_r212499194 --- Diff: core/src/main/scala/org/apache/spark/api/python/PythonRunner.scala --- @@ -60,14 +61,20 @@ private[spark] object PythonEvalType { */ private[spark] abstract class BasePythonRunner[IN, OUT]( funcs: Seq[ChainedPythonFunctions], - bufferSize: Int, - reuseWorker: Boolean, evalType: Int, - argOffsets: Array[Array[Int]]) + argOffsets: Array[Array[Int]], + conf: SparkConf) extends Logging { require(funcs.length == argOffsets.length, "argOffsets should have the same length as funcs") + private val bufferSize = conf.getInt("spark.buffer.size", 65536) + private val reuseWorker = conf.getBoolean("spark.python.worker.reuse", true) + // each python worker gets an equal part of the allocation. the worker pool will grow to the + // number of concurrent tasks, which is determined by the number of cores in this executor. + private val memoryMb = conf.get(PYSPARK_EXECUTOR_MEMORY) + .map(_ / conf.getInt("spark.executor.cores", 1)) --- End diff -- > I don't think that the DataBricks style guide applies to Apache projects. I sent an email to dev mailing list - http://apache-spark-developers-list.1001551.n3.nabble.com/Porting-or-explicitly-linking-project-style-in-Apache-Spark-based-on-https-github-com-databricks-scae-td24790.html I was thinking 2 indents for continuation lines are more common in the codebase and thought better follow this.
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