Github user imatiach-msft commented on a diff in the pull request:
https://github.com/apache/spark/pull/19439#discussion_r144191439
--- Diff: mllib/src/main/scala/org/apache/spark/ml/image/HadoopUtils.scala
---
@@ -0,0 +1,122 @@
+/*
+ * 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.ml.image
+
+import scala.language.existentials
+import scala.util.Random
+
+import org.apache.commons.io.FilenameUtils
+import org.apache.hadoop.conf.{Configuration, Configured}
+import org.apache.hadoop.fs.{Path, PathFilter}
+import org.apache.hadoop.mapreduce.lib.input.FileInputFormat
+
+import org.apache.spark.sql.SparkSession
+
+private object RecursiveFlag {
+
+ /**
+ * Sets a value of spark recursive flag
+ *
+ * @param value value to set
+ * @param spark existing spark session
+ * @return previous value of this flag
+ */
+ def setRecursiveFlag(value: Option[String], spark: SparkSession):
Option[String] = {
+ val flagName = FileInputFormat.INPUT_DIR_RECURSIVE
+ val hadoopConf = spark.sparkContext.hadoopConfiguration
+ val old = Option(hadoopConf.get(flagName))
+
+ value match {
+ case Some(v) => hadoopConf.set(flagName, v)
+ case None => hadoopConf.unset(flagName)
+ }
+
+ old
+ }
+}
+
+/**
+ * Filter that allows loading a fraction of HDFS files.
+ */
+private class SamplePathFilter extends Configured with PathFilter {
+ val random = {
+ val rd = new Random()
+ rd.setSeed(0)
+ rd
+ }
+
+ // Ratio of files to be read from disk
+ var sampleRatio: Double = 1
+
+ override def setConf(conf: Configuration): Unit = {
+ if (conf != null) {
+ sampleRatio = conf.getDouble(SamplePathFilter.ratioParam, 1)
+ }
+ }
+
+ override def accept(path: Path): Boolean = {
+ // Note: checking fileSystem.isDirectory is very slow here, so we use
basic rules instead
+ !SamplePathFilter.isFile(path) ||
+ random.nextDouble() < sampleRatio
+ }
+}
+
+private object SamplePathFilter {
+ val ratioParam = "sampleRatio"
+
+ def isFile(path: Path): Boolean =
FilenameUtils.getExtension(path.toString) != ""
+
+ /**
+ * Sets hdfs PathFilter
+ *
+ * @param value Filter class that is passed to HDFS
+ * @param sampleRatio Fraction of the files that the filter picks
+ * @param spark Existing Spark session
+ * @return Returns the previous hdfs path filter
+ */
+ def setPathFilter(value: Option[Class[_]], sampleRatio: Double,
+ spark: SparkSession) : Option[Class[_]] = {
+ val flagName = FileInputFormat.PATHFILTER_CLASS
+ val hadoopConf = spark.sparkContext.hadoopConfiguration
+ val old = Option(hadoopConf.getClass(flagName, null))
+ hadoopConf.setDouble(SamplePathFilter.ratioParam, sampleRatio)
+
+ value match {
+ case Some(v) => hadoopConf.setClass(flagName, v, classOf[PathFilter])
+ case None => hadoopConf.unset(flagName)
+ }
+ old
+ }
+
+ /**
+ * Unsets hdfs PathFilter
--- End diff --
done
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