Github user jkbradley commented on a diff in the pull request: https://github.com/apache/spark/pull/19746#discussion_r155863630 --- Diff: mllib/src/test/scala/org/apache/spark/ml/feature/VectorSizeHintSuite.scala --- @@ -0,0 +1,173 @@ +/* + * 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.feature + +import org.apache.spark.{SparkException, SparkFunSuite} +import org.apache.spark.ml.attribute.AttributeGroup +import org.apache.spark.ml.linalg.{Vector, Vectors} +import org.apache.spark.ml.util.DefaultReadWriteTest +import org.apache.spark.mllib.util.MLlibTestSparkContext +import org.apache.spark.sql.Row +import org.apache.spark.sql.execution.streaming.MemoryStream +import org.apache.spark.sql.streaming.StreamTest + +class VectorSizeHintSuite + extends SparkFunSuite with MLlibTestSparkContext with DefaultReadWriteTest { + + import testImplicits._ + + test("Test Param Validators") { + intercept[IllegalArgumentException] (new VectorSizeHint().setHandleInvalid("invalidValue")) + intercept[IllegalArgumentException] (new VectorSizeHint().setSize(-3)) + } + + test("Adding size to column of vectors.") { + + val size = 3 + val vectorColName = "vector" + val denseVector = Vectors.dense(1, 2, 3) + val sparseVector = Vectors.sparse(size, Array(), Array()) + + val data = Seq(denseVector, denseVector, sparseVector).map(Tuple1.apply) + val dataFrame = data.toDF(vectorColName) + assert( + AttributeGroup.fromStructField(dataFrame.schema(vectorColName)).size == -1, + "Transformer did not add expected size data.") + + for (handleInvalid <- VectorSizeHint.supportedHandleInvalids) { + val transformer = new VectorSizeHint() + .setInputCol(vectorColName) + .setSize(size) + .setHandleInvalid(handleInvalid) + val withSize = transformer.transform(dataFrame) + assert( + AttributeGroup.fromStructField(withSize.schema(vectorColName)).size == size, + "Transformer did not add expected size data.") + withSize.collect + } + } + + test("Size hint preserves attributes.") { + + val size = 3 + val vectorColName = "vector" + val data = Seq((1, 2, 3), (2, 3, 3)) + val dataFrame = data.toDF("x", "y", "z") + + val assembler = new VectorAssembler() + .setInputCols(Array("x", "y", "z")) + .setOutputCol(vectorColName) + val dataFrameWithMetadata = assembler.transform(dataFrame) + val group = AttributeGroup.fromStructField(dataFrameWithMetadata.schema(vectorColName)) + + for (handleInvalid <- VectorSizeHint.supportedHandleInvalids) { + val transformer = new VectorSizeHint() + .setInputCol(vectorColName) + .setSize(size) + .setHandleInvalid(handleInvalid) + val withSize = transformer.transform(dataFrameWithMetadata) + + val newGroup = AttributeGroup.fromStructField(withSize.schema(vectorColName)) + assert(newGroup.size === size, "Transformer did not add expected size data.") + assert( + newGroup.attributes.get.deep === group.attributes.get.deep, + "SizeHintTransformer did not preserve attributes.") + withSize.collect + } + } + + test("Size miss-match between current and target size raises an error.") { + val size = 4 + val vectorColName = "vector" + val data = Seq((1, 2, 3), (2, 3, 3)) + val dataFrame = data.toDF("x", "y", "z") + + val assembler = new VectorAssembler() + .setInputCols(Array("x", "y", "z")) + .setOutputCol(vectorColName) + val dataFrameWithMetadata = assembler.transform(dataFrame) + + for (handleInvalid <- VectorSizeHint.supportedHandleInvalids) { + val transformer = new VectorSizeHint() + .setInputCol(vectorColName) + .setSize(size) + .setHandleInvalid(handleInvalid) + intercept[SparkException](transformer.transform(dataFrameWithMetadata)) + } + } + + test("Handle invalid does the right thing.") { + + val vector = Vectors.dense(1, 2, 3) + val short = Vectors.dense(2) + val dataWithNull = Seq(vector, null).map(Tuple1.apply).toDF("vector") + val dataWithShort = Seq(vector, short).map(Tuple1.apply).toDF("vector") + + val sizeHint = new VectorSizeHint() + .setInputCol("vector") + .setHandleInvalid("error") + .setSize(3) + + intercept[SparkException](sizeHint.transform(dataWithNull).collect) + intercept[SparkException](sizeHint.transform(dataWithShort).collect) + + sizeHint.setHandleInvalid("skip") + assert(sizeHint.transform(dataWithNull).count() === 1) + assert(sizeHint.transform(dataWithShort).count() === 1) + } + + test("read/write") { + val sizeHint = new VectorSizeHint() + .setInputCol("myInputCol") + .setSize(11) + .setHandleInvalid("skip") + testDefaultReadWrite(sizeHint) + } +} + +class VectorSizeHintStreamingSuite extends StreamTest { + + import testImplicits._ + + test("Test assemble vectors with size hint in steaming.") { --- End diff -- steaming streaming
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