Github user HyukjinKwon commented on a diff in the pull request:

    https://github.com/apache/spark/pull/18654#discussion_r127869754
  
    --- Diff: 
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileFormatWriterSuite.scala
 ---
    @@ -0,0 +1,52 @@
    +/*
    + * 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, FilenameFilter}
    +
    +import org.apache.spark.sql.QueryTest
    +import org.apache.spark.sql.test.SharedSQLContext
    +
    +class FileFormatWriterSuite extends QueryTest with SharedSQLContext {
    +
    +  test("empty file should be skipped while write to file") {
    +    withTempDir { dir =>
    +      dir.delete()
    +      spark.range(10000).repartition(10).write.parquet(dir.toString)
    +      val df = spark.read.parquet(dir.toString)
    +      val allFiles = dir.listFiles(new FilenameFilter {
    +        override def accept(dir: File, name: String): Boolean = {
    +          !name.startsWith(".") && !name.startsWith("_")
    +        }
    +      })
    +      assert(allFiles.length == 10)
    +
    +      withTempDir { dst_dir =>
    +        dst_dir.delete()
    +        df.where("id = 50").write.parquet(dst_dir.toString)
    --- End diff --
    
    I mean..  for example, if we happen to have a single partition in the `df` 
in any event, I guess this test will become invalid ...


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