cloud-fan commented on code in PR #55661:
URL: https://github.com/apache/spark/pull/55661#discussion_r3196652186
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala:
##########
@@ -6050,6 +6050,19 @@ object SQLConf {
.booleanConf
.createWithDefault(false)
+ val VARIANT_VALIDATE_UNICODE_IN_JSON_PARSING =
+ buildConf("spark.sql.variant.validateUnicodeInJsonParsing")
+ .internal()
+ .doc("When true, parsing variant from JSON rejects strings that contain
unpaired UTF-16 " +
+ "surrogate code units (such as a lone high surrogate like \\uD835),
which are invalid " +
+ "per RFC 8259 section 7. When false, restores the legacy permissive
behavior in which " +
+ "the unpaired surrogate is silently replaced by the Unicode
replacement character " +
+ "during UTF-8 encoding, causing data corruption that diverges from
strict JSON parsers.")
+ .version("4.2.0")
Review Comment:
test
##########
common/variant/src/main/java/org/apache/spark/types/variant/VariantBuilder.java:
##########
@@ -557,6 +593,30 @@ private void parseFloatingPoint(JsonParser parser) throws
IOException {
}
}
+ // Reject JSON strings that contain unpaired UTF-16 surrogate code units.
Java strings can
+ // hold lone surrogates, but RFC 8259 section 7 requires JSON string
contents to be well-formed
+ // Unicode. Stricter parsers such as simdjson reject these inputs, while
Jackson's
+ // `ReaderBasedJsonParser` accepts them and silently drops the invalid
character to U+FFFD
Review Comment:
test
##########
sql/core/src/test/scala/org/apache/spark/sql/VariantEndToEndSuite.scala:
##########
@@ -185,6 +185,28 @@ class VariantEndToEndSuite extends SharedSparkSession {
checkAnswer(variantDF, Seq(Row(expected)))
}
+ test("SPARK-56654: parse_json/from_json reject unpaired UTF-16 surrogates by
default") {
+ val invalidJson = "\"\\uD835\""
+ val df = Seq(invalidJson).toDF("j")
+ checkAnswer(df.selectExpr("try_parse_json(j)"), Seq(Row(null)))
+ checkAnswer(df.selectExpr("from_json(j, 'variant')"), Seq(Row(null)))
+
+ val parseJsonError = intercept[SparkException] {
+ df.selectExpr("parse_json(j)").collect()
+ }
+ val cause = Option(parseJsonError.getCause).getOrElse(parseJsonError)
+ assert(cause.getMessage.contains("MALFORMED_RECORD_IN_PARSING"),
+ s"Unexpected error message: ${cause.getMessage}")
Review Comment:
test
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