Github user HyukjinKwon commented on a diff in the pull request: https://github.com/apache/spark/pull/11270#discussion_r53600012 --- Diff: sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/DataSourceDetectionSuite.scala --- @@ -0,0 +1,70 @@ +/* + * 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.execution.datasources + +import java.io.File + +import org.apache.spark.SparkException +import org.apache.spark.sql.{QueryTest, SQLConf} +import org.apache.spark.sql.test.SharedSQLContext + +class DataSourceDetectionSuite extends QueryTest with SharedSQLContext { --- End diff -- The test case I added below is the case for detection failure. Given data is Json but it tries to read magic number since `part` files and the given directory do not have extensions. ```scala test("detect datasource - fail to load json without extensions") { val data = (1 to 10).map(i => (i, i.toString)) withTempPath { file => val path = file.getCanonicalPath sqlContext.createDataFrame(data).write.json(path) val message = intercept[SparkException] { DataSourceDetection.detect(sqlContext, path) }.getMessage assert(message.contains("Detected data source was")) } } ```
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