For some reason I can't get view the source so I don't have exact line
numbers, but IntelliJ was kind enough to decompile this part
(SqlTypeUtil.class) for me. This appears to be the exception I'm hitting.
if (!isAtomic(type) && !isNull(type)) {
> if (isCollection(type)) {
> typeNameSpec = new
> SqlCollectionTypeNameSpec(convertTypeToSpec(type.getComponentType()).getTypeNameSpec(),
> typeName, SqlParserPos.ZERO);
> } else {
> if (!isRow(type)) {
> throw new UnsupportedOperationException("Unsupported type when
> convertTypeToSpec: " + typeName);
> }
It got there because isAtomic returns false for interval types:
public static boolean isAtomic(RelDataType type) {
> SqlTypeName typeName = type.getSqlTypeName();
> if (typeName == null) {
> return false;
> } else {
> return isDatetime(type) || isNumeric(type) || isString(type) ||
> isBoolean(type);
> }
> }
Seems like a bug?
On Wed, Feb 17, 2021 at 5:55 PM Patrick Angeles <[email protected]>
wrote:
> Wondering if anyone has seen this before, and has any suggestions. I have
> a UDTF with the following signature:
>
> public void eval(LocalDateTime startTime, LocalDateTime endTime, Duration
>> step) {
>
>
> According to the docs, this should be mapped from the following SQL
> snippet:
>
> ... LATERAL TABLE func(t1, t2, INTERVAL '5' MINUTES)
>
>
> However, when I run a query in sql-client I get:
>
> Caused by: java.lang.UnsupportedOperationException: Unsupported type when
>> convertTypeToSpec: INTERVAL_DAY_SECOND
>> at
>> org.apache.calcite.sql.type.SqlTypeUtil.convertTypeToSpec(SqlTypeUtil.java:1059)
>> ~[flink-table-blink_2.11-1.12.0.jar:1.12.0]
>> at
>> org.apache.calcite.sql.type.SqlTypeUtil.convertTypeToSpec(SqlTypeUtil.java:1081)
>> ~[flink-table-blink_2.11-1.12.0.jar:1.12.0]
>> at
>> org.apache.flink.table.planner.functions.inference.TypeInferenceOperandChecker.castTo(TypeInferenceOperandChecker.java:165)
>> ~[flink-table-blink_2.11-1.12.0.jar:1.12.0]
>
>
> I tried all sorts of DataTypeHints (including bridgedTo specification) to
> no avail. Any pointers?
>
> Thanks in advance.
>
> - P
>