suibianwanwank commented on code in PR #3911:
URL: https://github.com/apache/calcite/pull/3911#discussion_r1713012699
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core/src/main/java/org/apache/calcite/sql2rel/StandardConvertletTable.java:
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@@ -2135,11 +2137,34 @@ private static class TimestampAddConvertlet implements
SqlRexConvertlet {
final RexNode op2;
switch (call.operandCount()) {
case 2:
- // BigQuery-style 'TIMESTAMP_ADD(timestamp, interval)'
- final SqlBasicCall operandCall = call.operand(1);
- qualifier = operandCall.operand(1);
- op1 = cx.convertExpression(operandCall.operand(0));
- op2 = cx.convertExpression(call.operand(0));
+ // Oracle-style 'ADD_MONTHS(date, integer months)'
+ if (call.getOperator() == SqlLibraryOperators.ADD_MONTHS) {
+ qualifier = new SqlIntervalQualifier(TimeUnit.MONTH, null,
SqlParserPos.ZERO);
+ RexNode op = cx.convertExpression(call.operand(1));
+ RelDataTypeFactory typeFactory = cx.getTypeFactory();
+
+ // In Calcite, cast('1.2' as integer) is invalid.
+ // For details, see
https://issues.apache.org/jira/browse/CALCITE-1439
+ // When trying to cast a string value to an integer type, Calcite may
+ // encounter errors if the string value cannot be successfully
converted.
+ // To handle this, the string needs to be first converted to a
double type,
+ // and then the double value can be converted to an integer type.
+ // Since the final target type is integer, converting the string to
double first
+ // will not lose precision for the add_months operation.
+ if (op.getType().getSqlTypeName() == SqlTypeName.CHAR) {
Review Comment:
The Oracle Functions documentation describes it as: "The date argument can
be a datetime value or any value that can be implicitly converted to DATE".
Although the Spark documentation doesn't explicitly mention this, such implicit
conversions exist. I assume we can use makeCast to let the user determine
compatibility between types? WDYT
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