Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/20937#discussion_r178478647
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala
---
@@ -2127,4 +2127,243 @@ class JsonSuite extends QueryTest with
SharedSQLContext with TestJsonData {
assert(df.schema === expectedSchema)
}
}
+
+ def testFile(fileName: String): String = {
+
Thread.currentThread().getContextClassLoader.getResource(fileName).toString
+ }
+
+ test("SPARK-23723: json in UTF-16 with BOM") {
+ val fileName = "json-tests/utf16WithBOM.json"
+ val schema = new StructType().add("firstName",
StringType).add("lastName", StringType)
+ val jsonDF = spark.read.schema(schema)
+ .option("multiline", "true")
+ .option("encoding", "UTF-16")
+ .json(testFile(fileName))
+
+ checkAnswer(jsonDF, Seq(
+ Row("Chris", "Baird"), Row("Doug", "Rood")
+ ))
+ }
+
+ test("SPARK-23723: multi-line json in UTF-32BE with BOM") {
+ val fileName = "json-tests/utf32BEWithBOM.json"
+ val schema = new StructType().add("firstName",
StringType).add("lastName", StringType)
+ val jsonDF = spark.read.schema(schema)
+ .option("multiline", "true")
+ .json(testFile(fileName))
+
+ checkAnswer(jsonDF, Seq(Row("Chris", "Baird")))
+ }
+
+ test("SPARK-23723: Use user's encoding in reading of multi-line json in
UTF-16LE") {
+ val fileName = "json-tests/utf16LE.json"
+ val schema = new StructType().add("firstName",
StringType).add("lastName", StringType)
+ val jsonDF = spark.read.schema(schema)
+ .option("multiline", "true")
+ .options(Map("encoding" -> "UTF-16LE"))
+ .json(testFile(fileName))
+
+ checkAnswer(jsonDF, Seq(Row("Chris", "Baird")))
+ }
+
+ test("SPARK-23723: Unsupported encoding name") {
+ val invalidCharset = "UTF-128"
+ val exception = intercept[java.io.UnsupportedEncodingException] {
+ spark.read
+ .options(Map("encoding" -> invalidCharset, "lineSep" -> "\n"))
+ .json(testFile("json-tests/utf16LE.json"))
+ .count()
+ }
+
+ assert(exception.getMessage.contains(invalidCharset))
+ }
+
+ test("SPARK-23723: checking that the encoding option is case agnostic") {
+ val fileName = "json-tests/utf16LE.json"
+ val schema = new StructType().add("firstName",
StringType).add("lastName", StringType)
+ val jsonDF = spark.read.schema(schema)
+ .option("multiline", "true")
+ .options(Map("encoding" -> "uTf-16lE"))
+ .json(testFile(fileName))
+
+ checkAnswer(jsonDF, Seq(Row("Chris", "Baird")))
+ }
+
+
+ test("SPARK-23723: specified encoding is not matched to actual
encoding") {
+ val fileName = "json-tests/utf16LE.json"
+ val schema = new StructType().add("firstName",
StringType).add("lastName", StringType)
+ val exception = intercept[SparkException] {
+ spark.read.schema(schema)
+ .option("mode", "FAILFAST")
+ .option("multiline", "true")
+ .options(Map("encoding" -> "UTF-16BE"))
+ .json(testFile(fileName))
+ .count()
+ }
+ val errMsg = exception.getMessage
+
+ assert(errMsg.contains("Malformed records are detected in record
parsing"))
+ }
+
+ def checkCharset(
+ expectedCharset: String,
+ pathToJsonFiles: String,
+ expectedContent: String
+ ): Unit = {
--- End diff --
ditto for moving it up
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