Github user jaceklaskowski commented on a diff in the pull request:
https://github.com/apache/spark/pull/22328#discussion_r215037968
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/source/image/ImageFileFormatSuite.scala
---
@@ -0,0 +1,119 @@
+/*
+ * 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.source.image
+
+import java.nio.file.Paths
+
+import org.apache.spark.SparkFunSuite
+import org.apache.spark.ml.image.ImageSchema._
+import org.apache.spark.mllib.util.MLlibTestSparkContext
+import org.apache.spark.sql.Row
+import org.apache.spark.sql.functions.{col, substring_index}
+
+class ImageFileFormatSuite extends SparkFunSuite with
MLlibTestSparkContext {
+
+ // Single column of images named "image"
+ private lazy val imagePath = "../data/mllib/images/imagesWithPartitions"
+
+ test("image datasource count test") {
+ val df1 = spark.read.format("image").load(imagePath)
+ assert(df1.count === 9)
+
+ val df2 = spark.read.format("image").option("dropImageFailures",
"true").load(imagePath)
--- End diff --
`true` as a boolean value, please.
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