diff --git a/python/pyspark/sql/readwriter.py b/python/pyspark/sql/readwriter.py
index e5288636c596..ce428b228338 100644
--- a/python/pyspark/sql/readwriter.py
+++ b/python/pyspark/sql/readwriter.py
@@ -176,7 +176,7 @@ def json(self, path, schema=None, primitivesAsString=None, prefersDecimal=None,
              allowComments=None, allowUnquotedFieldNames=None, allowSingleQuotes=None,
              allowNumericLeadingZero=None, allowBackslashEscapingAnyCharacter=None,
              mode=None, columnNameOfCorruptRecord=None, dateFormat=None, timestampFormat=None,
-             multiLine=None, allowUnquotedControlChars=None):
+             multiLine=None, allowUnquotedControlChars=None, lineSep=None):
         """
         Loads JSON files and returns the results as a :class:`DataFrame`.
 
@@ -237,6 +237,8 @@ def json(self, path, schema=None, primitivesAsString=None, prefersDecimal=None,
         :param allowUnquotedControlChars: allows JSON Strings to contain unquoted control
                                           characters (ASCII characters with value less than 32,
                                           including tab and line feed characters) or not.
+        :param lineSep: defines the line separator that should be used for parsing. If None is
+                        set, it covers all ``\\r``, ``\\r\\n`` and ``\\n``.
 
         >>> df1 = spark.read.json('python/test_support/sql/people.json')
         >>> df1.dtypes
@@ -254,7 +256,7 @@ def json(self, path, schema=None, primitivesAsString=None, prefersDecimal=None,
             allowBackslashEscapingAnyCharacter=allowBackslashEscapingAnyCharacter,
             mode=mode, columnNameOfCorruptRecord=columnNameOfCorruptRecord, dateFormat=dateFormat,
             timestampFormat=timestampFormat, multiLine=multiLine,
-            allowUnquotedControlChars=allowUnquotedControlChars)
+            allowUnquotedControlChars=allowUnquotedControlChars, lineSep=lineSep)
         if isinstance(path, basestring):
             path = [path]
         if type(path) == list:
@@ -746,7 +748,8 @@ def saveAsTable(self, name, format=None, mode=None, partitionBy=None, **options)
         self._jwrite.saveAsTable(name)
 
     @since(1.4)
-    def json(self, path, mode=None, compression=None, dateFormat=None, timestampFormat=None):
+    def json(self, path, mode=None, compression=None, dateFormat=None, timestampFormat=None,
+             lineSep=None):
         """Saves the content of the :class:`DataFrame` in JSON format
         (`JSON Lines text format or newline-delimited JSON <http://jsonlines.org/>`_) at the
         specified path.
@@ -770,12 +773,15 @@ def json(self, path, mode=None, compression=None, dateFormat=None, timestampForm
                                 formats follow the formats at ``java.text.SimpleDateFormat``.
                                 This applies to timestamp type. If None is set, it uses the
                                 default value, ``yyyy-MM-dd'T'HH:mm:ss.SSSXXX``.
+        :param lineSep: defines the line separator that should be used for writing. If None is
+                        set, it uses the default value, ``\\n``.
 
         >>> df.write.json(os.path.join(tempfile.mkdtemp(), 'data'))
         """
         self.mode(mode)
         self._set_opts(
-            compression=compression, dateFormat=dateFormat, timestampFormat=timestampFormat)
+            compression=compression, dateFormat=dateFormat, timestampFormat=timestampFormat,
+            lineSep=lineSep)
         self._jwrite.json(path)
 
     @since(1.4)
diff --git a/python/pyspark/sql/streaming.py b/python/pyspark/sql/streaming.py
index 07f9ac1b5aa9..490df4accf87 100644
--- a/python/pyspark/sql/streaming.py
+++ b/python/pyspark/sql/streaming.py
@@ -407,7 +407,7 @@ def json(self, path, schema=None, primitivesAsString=None, prefersDecimal=None,
              allowComments=None, allowUnquotedFieldNames=None, allowSingleQuotes=None,
              allowNumericLeadingZero=None, allowBackslashEscapingAnyCharacter=None,
              mode=None, columnNameOfCorruptRecord=None, dateFormat=None, timestampFormat=None,
-             multiLine=None,  allowUnquotedControlChars=None):
+             multiLine=None,  allowUnquotedControlChars=None, lineSep=None):
         """
         Loads a JSON file stream and returns the results as a :class:`DataFrame`.
 
@@ -470,6 +470,8 @@ def json(self, path, schema=None, primitivesAsString=None, prefersDecimal=None,
         :param allowUnquotedControlChars: allows JSON Strings to contain unquoted control
                                           characters (ASCII characters with value less than 32,
                                           including tab and line feed characters) or not.
+        :param lineSep: defines the line separator that should be used for parsing. If None is
+                        set, it covers all ``\\r``, ``\\r\\n`` and ``\\n``.
 
         >>> json_sdf = spark.readStream.json(tempfile.mkdtemp(), schema = sdf_schema)
         >>> json_sdf.isStreaming
@@ -484,7 +486,7 @@ def json(self, path, schema=None, primitivesAsString=None, prefersDecimal=None,
             allowBackslashEscapingAnyCharacter=allowBackslashEscapingAnyCharacter,
             mode=mode, columnNameOfCorruptRecord=columnNameOfCorruptRecord, dateFormat=dateFormat,
             timestampFormat=timestampFormat, multiLine=multiLine,
-            allowUnquotedControlChars=allowUnquotedControlChars)
+            allowUnquotedControlChars=allowUnquotedControlChars, lineSep=lineSep)
         if isinstance(path, basestring):
             return self._df(self._jreader.json(path))
         else:
diff --git a/python/pyspark/sql/tests.py b/python/pyspark/sql/tests.py
index 967cc83166f3..505fc056369f 100644
--- a/python/pyspark/sql/tests.py
+++ b/python/pyspark/sql/tests.py
@@ -676,6 +676,23 @@ def test_multiline_json(self):
                                             multiLine=True)
         self.assertEqual(people1.collect(), people_array.collect())
 
+    def test_linesep_json(self):
+        df = self.spark.read.json("python/test_support/sql/people.json", lineSep=",")
+        expected = [Row(_corrupt_record=None, name=u'Michael'),
+                    Row(_corrupt_record=u' "age":30}\n{"name":"Justin"', name=None),
+                    Row(_corrupt_record=u' "age":19}\n', name=None)]
+        self.assertEqual(df.collect(), expected)
+
+        tpath = tempfile.mkdtemp()
+        shutil.rmtree(tpath)
+        try:
+            df = self.spark.read.json("python/test_support/sql/people.json")
+            df.write.json(tpath, lineSep="!!")
+            readback = self.spark.read.json(tpath, lineSep="!!")
+            self.assertEqual(readback.collect(), df.collect())
+        finally:
+            shutil.rmtree(tpath)
+
     def test_multiline_csv(self):
         ages_newlines = self.spark.read.csv(
             "python/test_support/sql/ages_newlines.csv", multiLine=True)
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/CreateJacksonParser.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/CreateJacksonParser.scala
index 025a388aacaa..a27b73a5e827 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/CreateJacksonParser.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/CreateJacksonParser.scala
@@ -22,6 +22,7 @@ import java.io.{ByteArrayInputStream, InputStream, InputStreamReader}
 import com.fasterxml.jackson.core.{JsonFactory, JsonParser}
 import org.apache.hadoop.io.Text
 
+import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.unsafe.types.UTF8String
 
 private[sql] object CreateJacksonParser extends Serializable {
@@ -46,4 +47,15 @@ private[sql] object CreateJacksonParser extends Serializable {
   def inputStream(jsonFactory: JsonFactory, record: InputStream): JsonParser = {
     jsonFactory.createParser(record)
   }
+
+  def internalRow(
+    jsonFactory: JsonFactory,
+    row: InternalRow,
+    charset: Option[String] = None
+  ): JsonParser = {
+    require(charset == Some("UTF-8"))
+    val is = new ByteArrayInputStream(row.getBinary(0))
+
+    inputStream(jsonFactory, is)
+  }
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JSONOptions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JSONOptions.scala
index 652412b34478..c908c7254b0f 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JSONOptions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JSONOptions.scala
@@ -85,6 +85,38 @@ private[sql] class JSONOptions(
 
   val multiLine = parameters.get("multiLine").map(_.toBoolean).getOrElse(false)
 
+  val charset: Option[String] = Some("UTF-8")
+
+  /**
+   * A sequence of bytes between two consecutive json records. Format of the option is:
+   *   selector (1 char) + delimiter body (any length) | sequence of chars
+   * The following selectors are supported:
+   * - 'x' + sequence of bytes in hexadecimal format. For example: "x0a 0d".
+   *   Hex pairs can be separated by any chars different from 0-9,A-F,a-f
+   * - '\' - reserved for a sequence of control chars like "\r\n"
+   *         and unicode escape like "\u000D\u000A"
+   * - 'r' and '/' - reserved for future use
+   *
+   * Note: the option defines a delimiter for the json reader only, the json writer
+   * uses '\n' as the delimiter of output records (it is converted to sequence of
+   * bytes according to charset)
+   */
+  val lineSeparator: Option[Array[Byte]] = parameters.get("lineSep").collect {
+    case hexs if hexs.startsWith("x") =>
+      hexs.replaceAll("[^0-9A-Fa-f]", "").sliding(2, 2).toArray
+        .map(Integer.parseInt(_, 16).toByte)
+    case reserved if reserved.startsWith("r") || reserved.startsWith("/") =>
+      throw new NotImplementedError(s"the $reserved selector has not supported yet")
+    case delim => delim.getBytes(charset.getOrElse(
+      throw new IllegalArgumentException("Please, set the charset option for the delimiter")))
+  }
+  val lineSeparatorInRead: Option[Array[Byte]] = lineSeparator
+
+  // Note that JSON uses writer with UTF-8 charset. This string will be written out as UTF-8.
+  val lineSeparatorInWrite: String = {
+    lineSeparator.map(new String(_, charset.getOrElse("UTF-8"))).getOrElse("\n")
+  }
+
   /** Sets config options on a Jackson [[JsonFactory]]. */
   def setJacksonOptions(factory: JsonFactory): Unit = {
     factory.configure(JsonParser.Feature.ALLOW_COMMENTS, allowComments)
@@ -96,4 +128,10 @@ private[sql] class JSONOptions(
       allowBackslashEscapingAnyCharacter)
     factory.configure(JsonParser.Feature.ALLOW_UNQUOTED_CONTROL_CHARS, allowUnquotedControlChars)
   }
+
+  def getTextOptions: Map[String, String] = {
+    lineSeparatorInRead.map{ bytes =>
+      "lineSep" -> bytes.map("x%02x".format(_)).mkString
+    }.toMap
+  }
 }
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonGenerator.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonGenerator.scala
index eb06e4f304f0..a94a2fe7881d 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonGenerator.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonGenerator.scala
@@ -74,6 +74,8 @@ private[sql] class JacksonGenerator(
 
   private val gen = new JsonFactory().createGenerator(writer).setRootValueSeparator(null)
 
+  private val lineSeparator: String = options.lineSeparatorInWrite
+
   private def makeWriter(dataType: DataType): ValueWriter = dataType match {
     case NullType =>
       (row: SpecializedGetters, ordinal: Int) =>
@@ -251,5 +253,8 @@ private[sql] class JacksonGenerator(
       mapType = dataType.asInstanceOf[MapType]))
   }
 
-  def writeLineEnding(): Unit = gen.writeRaw('\n')
+  def writeLineEnding(): Unit = {
+    // Note that JSON uses writer with UTF-8 charset. This string will be written out as UTF-8.
+    gen.writeRaw(lineSeparator)
+  }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala
index 1a5e47508c07..ae3ba1690f69 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala
@@ -366,6 +366,8 @@ class DataFrameReader private[sql](sparkSession: SparkSession) extends Logging {
    * `java.text.SimpleDateFormat`. This applies to timestamp type.</li>
    * <li>`multiLine` (default `false`): parse one record, which may span multiple lines,
    * per file</li>
+   * <li>`lineSep` (default covers all `\r`, `\r\n` and `\n`): defines the line separator
+   * that should be used for parsing.</li>
    * </ul>
    *
    * @since 2.0.0
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
index bb93889dc55e..bbc063148a72 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
@@ -518,6 +518,8 @@ final class DataFrameWriter[T] private[sql](ds: Dataset[T]) {
    * <li>`timestampFormat` (default `yyyy-MM-dd'T'HH:mm:ss.SSSXXX`): sets the string that
    * indicates a timestamp format. Custom date formats follow the formats at
    * `java.text.SimpleDateFormat`. This applies to timestamp type.</li>
+   * <li>`lineSep` (default `\n`): defines the line separator that should
+   * be used for writing.</li>
    * </ul>
    *
    * @since 1.4.0
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/json/JsonDataSource.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/json/JsonDataSource.scala
index 77e7edc8e7a2..c09a1617690b 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/json/JsonDataSource.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/json/JsonDataSource.scala
@@ -33,6 +33,7 @@ import org.apache.spark.input.{PortableDataStream, StreamInputFormat}
 import org.apache.spark.rdd.{BinaryFileRDD, RDD}
 import org.apache.spark.sql.{AnalysisException, Dataset, Encoders, SparkSession}
 import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.expressions.UnsafeRow
 import org.apache.spark.sql.catalyst.json.{CreateJacksonParser, JacksonParser, JSONOptions}
 import org.apache.spark.sql.execution.datasources._
 import org.apache.spark.sql.execution.datasources.text.TextFileFormat
@@ -92,25 +93,33 @@ object TextInputJsonDataSource extends JsonDataSource {
       sparkSession: SparkSession,
       inputPaths: Seq[FileStatus],
       parsedOptions: JSONOptions): StructType = {
-    val json: Dataset[String] = createBaseDataset(sparkSession, inputPaths)
+    val json: Dataset[String] = createBaseDataset(sparkSession, inputPaths, parsedOptions)
     inferFromDataset(json, parsedOptions)
   }
 
   def inferFromDataset(json: Dataset[String], parsedOptions: JSONOptions): StructType = {
     val sampled: Dataset[String] = JsonUtils.sample(json, parsedOptions)
-    val rdd: RDD[UTF8String] = sampled.queryExecution.toRdd.map(_.getUTF8String(0))
-    JsonInferSchema.infer(rdd, parsedOptions, CreateJacksonParser.utf8String)
+    val rdd: RDD[InternalRow] = sampled.queryExecution.toRdd
+
+    JsonInferSchema.infer[InternalRow](
+      rdd,
+      parsedOptions,
+      CreateJacksonParser.internalRow(_, _, parsedOptions.charset)
+    )
   }
 
   private def createBaseDataset(
       sparkSession: SparkSession,
-      inputPaths: Seq[FileStatus]): Dataset[String] = {
+      inputPaths: Seq[FileStatus],
+      parsedOptions: JSONOptions
+  ): Dataset[String] = {
     val paths = inputPaths.map(_.getPath.toString)
     sparkSession.baseRelationToDataFrame(
       DataSource.apply(
         sparkSession,
         paths = paths,
-        className = classOf[TextFileFormat].getName
+        className = classOf[TextFileFormat].getName,
+        options = parsedOptions.getTextOptions
       ).resolveRelation(checkFilesExist = false))
       .select("value").as(Encoders.STRING)
   }
@@ -120,7 +129,7 @@ object TextInputJsonDataSource extends JsonDataSource {
       file: PartitionedFile,
       parser: JacksonParser,
       schema: StructType): Iterator[InternalRow] = {
-    val linesReader = new HadoopFileLinesReader(file, conf)
+    val linesReader = new HadoopFileLinesReader(file, parser.options.lineSeparatorInRead, conf)
     Option(TaskContext.get()).foreach(_.addTaskCompletionListener(_ => linesReader.close()))
     val safeParser = new FailureSafeParser[Text](
       input => parser.parse(input, CreateJacksonParser.text, textToUTF8String),
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/text/TextOptions.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/text/TextOptions.scala
index 18698df9fd8e..386512c612ec 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/text/TextOptions.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/text/TextOptions.scala
@@ -41,13 +41,20 @@ private[text] class TextOptions(@transient private val parameters: CaseInsensiti
    */
   val wholeText = parameters.getOrElse(WHOLETEXT, "false").toBoolean
 
-  private val lineSeparator: Option[String] = parameters.get(LINE_SEPARATOR).map { sep =>
-    require(sep.nonEmpty, s"'$LINE_SEPARATOR' cannot be an empty string.")
-    sep
+  val charset: Option[String] = Some("UTF-8")
+
+  val lineSeparator: Option[Array[Byte]] = parameters.get("lineSep").collect {
+    case hexs if hexs.startsWith("x") =>
+      hexs.replaceAll("[^0-9A-Fa-f]", "").sliding(2, 2).toArray
+        .map(Integer.parseInt(_, 16).toByte)
+    case reserved if reserved.startsWith("r") || reserved.startsWith("/") =>
+      throw new NotImplementedError(s"the $reserved selector has not supported yet")
+    case delim => delim.getBytes(charset.getOrElse(
+      throw new IllegalArgumentException("Please, set the charset option for the delimiter")))
   }
+
   // Note that the option 'lineSep' uses a different default value in read and write.
-  val lineSeparatorInRead: Option[Array[Byte]] =
-    lineSeparator.map(_.getBytes(StandardCharsets.UTF_8))
+  val lineSeparatorInRead: Option[Array[Byte]] = lineSeparator
   val lineSeparatorInWrite: Array[Byte] =
     lineSeparatorInRead.getOrElse("\n".getBytes(StandardCharsets.UTF_8))
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/streaming/DataStreamReader.scala b/sql/core/src/main/scala/org/apache/spark/sql/streaming/DataStreamReader.scala
index 9b17406a816b..ae93965bc50e 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/streaming/DataStreamReader.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/streaming/DataStreamReader.scala
@@ -268,6 +268,8 @@ final class DataStreamReader private[sql](sparkSession: SparkSession) extends Lo
    * `java.text.SimpleDateFormat`. This applies to timestamp type.</li>
    * <li>`multiLine` (default `false`): parse one record, which may span multiple lines,
    * per file</li>
+   * <li>`lineSep` (default covers all `\r`, `\r\n` and `\n`): defines the line separator
+   * that should be used for parsing.</li>
    * </ul>
    *
    * @since 2.0.0
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala
index 8c8d41ebf115..8ad31231d51c 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala
@@ -17,8 +17,9 @@
 
 package org.apache.spark.sql.execution.datasources.json
 
-import java.io.{File, StringWriter}
+import java.io.{File, FileOutputStream, StringWriter}
 import java.nio.charset.StandardCharsets
+import java.nio.file.Files
 import java.sql.{Date, Timestamp}
 import java.util.Locale
 
@@ -27,7 +28,7 @@ import org.apache.hadoop.fs.{Path, PathFilter}
 import org.apache.hadoop.io.SequenceFile.CompressionType
 import org.apache.hadoop.io.compress.GzipCodec
 
-import org.apache.spark.SparkException
+import org.apache.spark.{SparkException, TestUtils}
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.{functions => F, _}
 import org.apache.spark.sql.catalyst.json.{CreateJacksonParser, JacksonParser, JSONOptions}
@@ -2063,4 +2064,93 @@ class JsonSuite extends QueryTest with SharedSQLContext with TestJsonData {
       )
     }
   }
+
+  def checkReadJson(
+    charset: String,
+    lineSep: String,
+    inferSchema: Boolean,
+    runId: Int
+  ): Unit = {
+    test(s"checks reading json in ${charset} #${runId}") {
+      val delimInBytes = {
+        if (lineSep.startsWith("x")) {
+          lineSep.replaceAll("[^0-9A-Fa-f]", "")
+            .sliding(2, 2).toArray.map(Integer.parseInt(_, 16).toByte)
+        } else {
+          lineSep.getBytes(charset)
+        }
+      }
+      case class Rec(f1: String, f2: Int) {
+        def json = s"""{"f1":"${f1}", "f2":$f2}"""
+        def bytes = json.getBytes(charset)
+        def row = Row(f1, f2)
+      }
+      val schema = new StructType().add("f1", StringType).add("f2", IntegerType)
+      withTempPath { path =>
+        val records = List(Rec("a", 1), Rec("b", 2))
+        val data = records.map(_.bytes).reduce((a1, a2) => a1 ++ delimInBytes ++ a2)
+        val os = new FileOutputStream(path)
+        os.write(data)
+        os.close()
+        val reader = if (inferSchema) {
+          spark.read
+        } else {
+          spark.read.schema(schema)
+        }
+        val savedDf = reader
+          .option("lineSep", lineSep)
+          .json(path.getCanonicalPath)
+        checkAnswer(savedDf, records.map(_.row))
+      }
+    }
+  }
+
+  // scalastyle:off nonascii
+  List(
+    ("|", "UTF-8", false),
+    ("^", "UTF-8", true),
+    ("::", "UTF-8", true),
+    ("!!!@3", "UTF-8", false),
+    (0x1E.toChar.toString, "UTF-8", true),
+    ("아", "UTF-8", false),
+    ("куку", "UTF-8", true),
+    ("sep", "UTF-8", false),
+    ("x0a 0d", "UTF-8", true),
+    ("x54.45", "UTF-8", false),
+    ("\r\n", "UTF-8", false),
+    ("\r\n", "UTF-8", true),
+    ("\u000d\u000a", "UTF-8", false),
+    ("\u000a\u000d", "UTF-8", true),
+    ("===", "UTF-8", false),
+    ("$^+", "UTF-8", true)
+  ).zipWithIndex.foreach{case ((d, c, s), i) => checkReadJson(c, d, s, i)}
+  // scalastyle:on nonascii
+
+  def testLineSeparator(lineSep: String): Unit = {
+    test(s"SPARK-21289: Support line separator - lineSep: '$lineSep'") {
+      // Write
+      withTempPath { path =>
+        Seq("a", "b", "c").toDF("value").coalesce(1)
+          .write.option("lineSep", lineSep).json(path.getAbsolutePath)
+        val partFile = TestUtils.recursiveList(path).filter(f => f.getName.startsWith("part-")).head
+        val readBack = new String(Files.readAllBytes(partFile.toPath), StandardCharsets.UTF_8)
+        assert(
+          readBack === s"""{"value":"a"}$lineSep{"value":"b"}$lineSep{"value":"c"}$lineSep""")
+      }
+
+      // Roundtrip
+      withTempPath { path =>
+        val df = Seq("a", "b", "c").toDF()
+        df.write.option("lineSep", lineSep).json(path.getAbsolutePath)
+        val readBack = spark.read.option("lineSep", lineSep).json(path.getAbsolutePath)
+        checkAnswer(df, readBack)
+      }
+    }
+  }
+
+  // scalastyle:off nonascii
+  Seq("|", "^", "::", "!!!@3", 0x1E.toChar.toString, "아").foreach { lineSep =>
+    testLineSeparator(lineSep)
+  }
+  // scalastyle:on nonascii
 }