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

    https://github.com/apache/spark/pull/16386#discussion_r93732800
  
    --- Diff: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/json/JsonDataSource.scala
 ---
    @@ -0,0 +1,204 @@
    +/*
    + * 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.json
    +
    +import java.io.InputStream
    +
    +import scala.reflect.ClassTag
    +
    +import com.fasterxml.jackson.core.{JsonFactory, JsonParser}
    +import org.apache.hadoop.conf.Configuration
    +import org.apache.hadoop.fs.{FileStatus, Path}
    +import org.apache.hadoop.io.{LongWritable, Text}
    +import org.apache.hadoop.mapreduce.Job
    +import org.apache.hadoop.mapreduce.lib.input.{FileInputFormat, 
TextInputFormat}
    +
    +import org.apache.spark.TaskContext
    +import org.apache.spark.input.{PortableDataStream, StreamInputFormat}
    +import org.apache.spark.rdd.{BinaryFileRDD, RDD}
    +import org.apache.spark.sql.{AnalysisException, SparkSession}
    +import org.apache.spark.sql.catalyst.InternalRow
    +import org.apache.spark.sql.catalyst.json.{CreateJacksonParser, 
JacksonParser, JSONOptions}
    +import org.apache.spark.sql.execution.datasources.{CodecStreams, 
HadoopFileLinesReader, PartitionedFile}
    +import org.apache.spark.sql.types.StructType
    +
    +/**
    + * Common functions for parsing JSON files
    + * @tparam T A datatype containing the unparsed JSON, such as [[Text]] or 
[[String]]
    + */
    +abstract class JsonDataSource[T] extends Serializable {
    +  def isSplitable: Boolean
    +
    +  /**
    +   * Parse a [[PartitionedFile]] into 0 or more [[InternalRow]] instances
    +   */
    +  def readFile(
    +    conf: Configuration,
    +    file: PartitionedFile,
    +    parser: JacksonParser): Iterator[InternalRow]
    +
    +  /**
    +   * Create an [[RDD]] that handles the preliminary parsing of [[T]] 
records
    +   */
    +  protected def createBaseRdd(
    +    sparkSession: SparkSession,
    +    inputPaths: Seq[FileStatus]): RDD[T]
    +
    +  /**
    +   * A generic wrapper to invoke the correct [[JsonFactory]] method to 
allocate a [[JsonParser]]
    +   * for an instance of [[T]]
    +   */
    +  def createParser(jsonFactory: JsonFactory, value: T): JsonParser
    +
    +  final def infer(
    +      sparkSession: SparkSession,
    +      inputPaths: Seq[FileStatus],
    +      parsedOptions: JSONOptions): Option[StructType] = {
    +    val jsonSchema = InferSchema.infer(
    +      createBaseRdd(sparkSession, inputPaths),
    +      parsedOptions,
    +      createParser)
    +    checkConstraints(jsonSchema)
    +
    +    if (jsonSchema.fields.nonEmpty) {
    --- End diff --
    
    It seems this changes existing behaviour (not allowing empty schema).


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