spena commented on code in PR #25054:
URL: https://github.com/apache/flink/pull/25054#discussion_r1669360054
##########
flink-table/flink-table-planner/src/main/java/org/apache/flink/table/planner/operations/MergeTableLikeUtil.java:
##########
@@ -312,113 +302,36 @@ private void appendDerivedPrimaryKey(@Nullable
SqlTableConstraint derivedPrimary
"The base table already has a primary key. You might "
+ "want to specify EXCLUDING CONSTRAINTS.");
} else if (derivedPrimaryKey != null) {
- List<String> primaryKeyColumns = new ArrayList<>();
- for (SqlNode primaryKeyNode : derivedPrimaryKey.getColumns()) {
- String primaryKey = ((SqlIdentifier)
primaryKeyNode).getSimple();
- if (!columns.containsKey(primaryKey)) {
- throw new ValidationException(
- String.format(
- "Primary key column '%s' is not
defined in the schema at %s",
- primaryKey,
primaryKeyNode.getParserPosition()));
- }
- if (!(columns.get(primaryKey) instanceof
UnresolvedPhysicalColumn)) {
- throw new ValidationException(
- String.format(
- "Could not create a PRIMARY KEY with
column '%s' at %s.\n"
- + "A PRIMARY KEY constraint
must be declared on physical columns.",
- primaryKey,
primaryKeyNode.getParserPosition()));
- }
- primaryKeyColumns.add(primaryKey);
- }
- primaryKey =
- new UnresolvedPrimaryKey(
- derivedPrimaryKey
- .getConstraintName()
- .orElseGet(
- () ->
-
primaryKeyColumns.stream()
- .collect(
-
Collectors.joining(
-
"_", "PK_", ""))),
- primaryKeyColumns);
+ setPrimaryKey(derivedPrimaryKey);
}
}
private void appendDerivedWatermarks(
Map<FeatureOption, MergingStrategy> mergingStrategies,
List<SqlWatermark> derivedWatermarkSpecs) {
- for (SqlWatermark derivedWatermarkSpec : derivedWatermarkSpecs) {
- SqlIdentifier eventTimeColumnName =
derivedWatermarkSpec.getEventTimeColumnName();
-
- HashMap<String, RelDataType> nameToTypeMap = new
LinkedHashMap<>();
- nameToTypeMap.putAll(physicalFieldNamesToTypes);
- nameToTypeMap.putAll(metadataFieldNamesToTypes);
- nameToTypeMap.putAll(computedFieldNamesToTypes);
-
- verifyRowtimeAttribute(mergingStrategies, eventTimeColumnName,
nameToTypeMap);
- String rowtimeAttribute = eventTimeColumnName.toString();
-
- SqlNode expression =
derivedWatermarkSpec.getWatermarkStrategy();
-
- // this will validate and expand function identifiers.
- SqlNode validated =
-
sqlValidator.validateParameterizedExpression(expression, nameToTypeMap);
-
- watermarkSpecs.put(
- rowtimeAttribute,
- new UnresolvedWatermarkSpec(
- rowtimeAttribute,
- new
SqlCallExpression(escapeExpressions.apply(validated))));
- }
- }
-
- private void verifyRowtimeAttribute(
- Map<FeatureOption, MergingStrategy> mergingStrategies,
- SqlIdentifier eventTimeColumnName,
- Map<String, RelDataType> allFieldsTypes) {
- String fullRowtimeExpression = eventTimeColumnName.toString();
- boolean specAlreadyExists =
watermarkSpecs.containsKey(fullRowtimeExpression);
-
- if (specAlreadyExists
- && mergingStrategies.get(FeatureOption.WATERMARKS)
- != MergingStrategy.OVERWRITING) {
- throw new ValidationException(
- String.format(
- "There already exists a watermark spec for
column '%s' in the base table. You "
- + "might want to specify EXCLUDING
WATERMARKS or OVERWRITING WATERMARKS.",
- fullRowtimeExpression));
- }
-
- List<String> components = eventTimeColumnName.names;
- if (!allFieldsTypes.containsKey(components.get(0))) {
- throw new ValidationException(
- String.format(
- "The rowtime attribute field '%s' is not
defined in the table schema, at %s\n"
- + "Available fields: [%s]",
- fullRowtimeExpression,
- eventTimeColumnName.getParserPosition(),
- allFieldsTypes.keySet().stream()
- .collect(Collectors.joining("', '",
"'", "'"))));
- }
-
- if (components.size() > 1) {
- RelDataType componentType =
allFieldsTypes.get(components.get(0));
- for (int i = 1; i < components.size(); i++) {
- RelDataTypeField field =
componentType.getField(components.get(i), true, false);
- if (field == null) {
+ if (mergingStrategies.get(SqlTableLike.FeatureOption.WATERMARKS)
+ != SqlTableLike.MergingStrategy.OVERWRITING) {
+ for (SqlWatermark derivedWatermarkSpec :
derivedWatermarkSpecs) {
+ SqlIdentifier eventTimeColumnName =
+ derivedWatermarkSpec.getEventTimeColumnName();
+ String rowtimeAttribute = eventTimeColumnName.toString();
+
+ if (watermarkSpecs.containsKey(rowtimeAttribute)) {
throw new ValidationException(
String.format(
- "The rowtime attribute field '%s' is
not defined in the table schema, at %s\n"
- + "Nested field '%s' was not
found in a composite type: %s.",
- fullRowtimeExpression,
-
eventTimeColumnName.getComponent(i).getParserPosition(),
- components.get(i),
- FlinkTypeFactory.toLogicalType(
-
allFieldsTypes.get(components.get(0)))));
+ "There already exists a watermark spec
for column '%s' in the base table. You "
+ + "might want to specify
EXCLUDING WATERMARKS or OVERWRITING WATERMARKS.",
+ rowtimeAttribute));
}
- componentType = field.getType();
}
}
+
+ HashMap<String, RelDataType> nameToTypeMap = new LinkedHashMap<>();
+ nameToTypeMap.putAll(physicalFieldNamesToTypes);
+ nameToTypeMap.putAll(metadataFieldNamesToTypes);
+ nameToTypeMap.putAll(computedFieldNamesToTypes);
Review Comment:
I left this like before without adding them to a global Map. I noticed the
LIKE table option does not use the compute fields when evaluating other compute
columns. But metadata do evaluate the expressions from compute pools. I don't
know if that's allowed, or if we can use other compute columns to evaluate
compute expressions?
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