anchovYu commented on code in PR #43612:
URL: https://github.com/apache/spark/pull/43612#discussion_r1379437089
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/literals.scala:
##########
@@ -247,6 +251,67 @@ object Literal {
s"Literal must have a corresponding value to ${dataType.catalogString},
" +
s"but class ${Utils.getSimpleName(value.getClass)} found.")
}
+
+ /**
+ * Parse and analyze the .sql string of a Literal, construct the Literal
given the data type json.
+ * Example usage:
+ * val serializedValue = lit.sql
+ * val dataTypeJson = lit.dataType.json
+ * val deserializedLit: Literal = Literal.fromSQL(serializedValue,
dataTypeJson)
+ *
+ * @param valueSqlStr the .sql string of the Literal
+ * @param dataTypeJson the json format data type of the Literal
+ * @throws AnalysisException
INVALID_LITERAL_VALUE_SQL_STRING_FOR_DESERIALIZATION
+ */
+ private[sql] def fromSQL(valueSqlStr: String, dataTypeJson: String): Literal
= {
Review Comment:
DDL does not preserves those `containsNull` fields while json does.
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