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Posted to issues@flink.apache.org by GitBox <gi...@apache.org> on 2020/05/27 03:50:20 UTC
[GitHub] [flink] dawidwys commented on a change in pull request #12331: [FLINK-17936][table] Introduce new type inference for AS
dawidwys commented on a change in pull request #12331:
URL: https://github.com/apache/flink/pull/12331#discussion_r430217975
##########
File path: flink-table/flink-table-common/src/main/java/org/apache/flink/table/types/inference/strategies/RootArgumentTypeStrategy.java
##########
@@ -0,0 +1,254 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.table.types.inference.strategies;
+
+import org.apache.flink.annotation.Internal;
+import org.apache.flink.table.api.DataTypes;
+import org.apache.flink.table.functions.FunctionDefinition;
+import org.apache.flink.table.types.DataType;
+import org.apache.flink.table.types.inference.ArgumentTypeStrategy;
+import org.apache.flink.table.types.inference.CallContext;
+import org.apache.flink.table.types.inference.Signature.Argument;
+import org.apache.flink.table.types.logical.BinaryType;
+import org.apache.flink.table.types.logical.CharType;
+import org.apache.flink.table.types.logical.DecimalType;
+import org.apache.flink.table.types.logical.LogicalType;
+import org.apache.flink.table.types.logical.LogicalTypeRoot;
+import org.apache.flink.table.types.logical.VarBinaryType;
+import org.apache.flink.table.types.logical.VarCharType;
+import org.apache.flink.table.types.logical.utils.LogicalTypeCasts;
+import org.apache.flink.util.Preconditions;
+
+import javax.annotation.Nullable;
+
+import java.util.Objects;
+import java.util.Optional;
+
+import static org.apache.flink.table.types.logical.LogicalTypeFamily.APPROXIMATE_NUMERIC;
+import static org.apache.flink.table.types.logical.LogicalTypeFamily.EXACT_NUMERIC;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.BINARY;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.CHAR;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.TIMESTAMP_WITHOUT_TIME_ZONE;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeCasts.supportsImplicitCast;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getLength;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getPrecision;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getScale;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.hasFamily;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.hasRoot;
+
+/**
+ * Strategy for an argument that corresponds to a given {@link LogicalTypeRoot} and nullability.
+ *
+ * <p>Implicit casts will be inserted if possible.
+ */
+@Internal
+public final class RootArgumentTypeStrategy implements ArgumentTypeStrategy {
+
+ private final LogicalTypeRoot expectedRoot;
+
+ private final boolean expectedNullability;
+
+ public RootArgumentTypeStrategy(LogicalTypeRoot expectedRoot, boolean expectedNullability) {
+ this.expectedRoot = Preconditions.checkNotNull(expectedRoot);
+ this.expectedNullability = expectedNullability;
+ }
+
+ @Override
+ public Optional<DataType> inferArgumentType(CallContext callContext, int argumentPos, boolean throwOnFailure) {
+ final DataType actualDataType = callContext.getArgumentDataTypes().get(argumentPos);
+ final LogicalType actualType = actualDataType.getLogicalType();
+
+ if (!expectedNullability && actualType.isNullable()) {
+ if (throwOnFailure) {
+ throw callContext.newValidationError(
+ "Unsupported argument type. Expected nullable type of root '%s' but actual type was '%s'.",
+ expectedRoot,
+ actualType);
+ }
+ return Optional.empty();
+ }
+
+ return findDataType(
+ callContext,
+ throwOnFailure,
+ actualDataType,
+ expectedRoot,
+ expectedNullability);
+ }
+
+ @Override
+ public Argument getExpectedArgument(FunctionDefinition functionDefinition, int argumentPos) {
+ // "< ... >" to indicate that this is not a type
+ if (!expectedNullability) {
+ return Argument.of("<" + expectedRoot + " NOT NULL>");
+ }
+ return Argument.of("<" + expectedRoot + ">");
+ }
+
+ @Override
+ public boolean equals(Object o) {
+ if (this == o) {
+ return true;
+ }
+ if (o == null || getClass() != o.getClass()) {
+ return false;
+ }
+ RootArgumentTypeStrategy that = (RootArgumentTypeStrategy) o;
+ return expectedNullability == that.expectedNullability &&
+ expectedRoot == that.expectedRoot;
+ }
+
+ @Override
+ public int hashCode() {
+ return Objects.hash(expectedRoot, expectedNullability);
+ }
+
+ // --------------------------------------------------------------------------------------------
+
+ /**
+ * Finds a data type that is close to the given data type in terms of nullability and conversion
+ * class but of the given logical root.
+ *
+ * <p>This method is shared with {@link FamilyArgumentTypeStrategy}.
+ */
+ static Optional<DataType> findDataType(
+ CallContext callContext,
+ boolean throwOnFailure,
+ DataType actualDataType,
+ LogicalTypeRoot expectedRoot,
+ boolean expectedNullability) {
+ final LogicalType actualType = actualDataType.getLogicalType();
+ return Optional.ofNullable(findDataTypeOfRoot(actualDataType, expectedRoot))
+ // set nullability
+ .map(newDataType -> {
+ if (expectedNullability) {
+ return newDataType.nullable();
+ } else {
+ return newDataType.notNull();
+ }
+ })
+ // preserve bridging class if possible
+ .map(newDataType -> {
+ final Class<?> clazz = actualDataType.getConversionClass();
+ final LogicalType newType = newDataType.getLogicalType();
+ if (newType.supportsInputConversion(clazz) || newType.supportsOutputConversion(clazz)) {
Review comment:
Shouldn't we check only the `supportsOutputConversion`? UDF arguments are kind of "outputs" not "inputs".
##########
File path: flink-table/flink-table-common/src/main/java/org/apache/flink/table/types/inference/strategies/RootArgumentTypeStrategy.java
##########
@@ -0,0 +1,254 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.table.types.inference.strategies;
+
+import org.apache.flink.annotation.Internal;
+import org.apache.flink.table.api.DataTypes;
+import org.apache.flink.table.functions.FunctionDefinition;
+import org.apache.flink.table.types.DataType;
+import org.apache.flink.table.types.inference.ArgumentTypeStrategy;
+import org.apache.flink.table.types.inference.CallContext;
+import org.apache.flink.table.types.inference.Signature.Argument;
+import org.apache.flink.table.types.logical.BinaryType;
+import org.apache.flink.table.types.logical.CharType;
+import org.apache.flink.table.types.logical.DecimalType;
+import org.apache.flink.table.types.logical.LogicalType;
+import org.apache.flink.table.types.logical.LogicalTypeRoot;
+import org.apache.flink.table.types.logical.VarBinaryType;
+import org.apache.flink.table.types.logical.VarCharType;
+import org.apache.flink.table.types.logical.utils.LogicalTypeCasts;
+import org.apache.flink.util.Preconditions;
+
+import javax.annotation.Nullable;
+
+import java.util.Objects;
+import java.util.Optional;
+
+import static org.apache.flink.table.types.logical.LogicalTypeFamily.APPROXIMATE_NUMERIC;
+import static org.apache.flink.table.types.logical.LogicalTypeFamily.EXACT_NUMERIC;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.BINARY;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.CHAR;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.TIMESTAMP_WITHOUT_TIME_ZONE;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeCasts.supportsImplicitCast;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getLength;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getPrecision;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getScale;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.hasFamily;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.hasRoot;
+
+/**
+ * Strategy for an argument that corresponds to a given {@link LogicalTypeRoot} and nullability.
+ *
+ * <p>Implicit casts will be inserted if possible.
+ */
+@Internal
+public final class RootArgumentTypeStrategy implements ArgumentTypeStrategy {
+
+ private final LogicalTypeRoot expectedRoot;
+
+ private final boolean expectedNullability;
+
+ public RootArgumentTypeStrategy(LogicalTypeRoot expectedRoot, boolean expectedNullability) {
+ this.expectedRoot = Preconditions.checkNotNull(expectedRoot);
+ this.expectedNullability = expectedNullability;
+ }
+
+ @Override
+ public Optional<DataType> inferArgumentType(CallContext callContext, int argumentPos, boolean throwOnFailure) {
+ final DataType actualDataType = callContext.getArgumentDataTypes().get(argumentPos);
+ final LogicalType actualType = actualDataType.getLogicalType();
+
+ if (!expectedNullability && actualType.isNullable()) {
+ if (throwOnFailure) {
+ throw callContext.newValidationError(
+ "Unsupported argument type. Expected nullable type of root '%s' but actual type was '%s'.",
+ expectedRoot,
+ actualType);
+ }
+ return Optional.empty();
+ }
+
+ return findDataType(
+ callContext,
+ throwOnFailure,
+ actualDataType,
+ expectedRoot,
+ expectedNullability);
+ }
+
+ @Override
+ public Argument getExpectedArgument(FunctionDefinition functionDefinition, int argumentPos) {
+ // "< ... >" to indicate that this is not a type
+ if (!expectedNullability) {
+ return Argument.of("<" + expectedRoot + " NOT NULL>");
+ }
+ return Argument.of("<" + expectedRoot + ">");
+ }
+
+ @Override
+ public boolean equals(Object o) {
+ if (this == o) {
+ return true;
+ }
+ if (o == null || getClass() != o.getClass()) {
+ return false;
+ }
+ RootArgumentTypeStrategy that = (RootArgumentTypeStrategy) o;
+ return expectedNullability == that.expectedNullability &&
+ expectedRoot == that.expectedRoot;
+ }
+
+ @Override
+ public int hashCode() {
+ return Objects.hash(expectedRoot, expectedNullability);
+ }
+
+ // --------------------------------------------------------------------------------------------
+
+ /**
+ * Finds a data type that is close to the given data type in terms of nullability and conversion
+ * class but of the given logical root.
+ *
+ * <p>This method is shared with {@link FamilyArgumentTypeStrategy}.
+ */
+ static Optional<DataType> findDataType(
Review comment:
nit: Could we moved that to a helper class in the `strategies` package? It looks a bit counter-intuitive that an unrelated(`FamilyArgumentTypeStrategy` does not extend from this class) class uses this method.
##########
File path: flink-table/flink-table-common/src/test/java/org/apache/flink/table/types/inference/InputTypeStrategiesTest.java
##########
@@ -481,7 +484,70 @@
"Map strategy fails for an odd number of arguments",
InputTypeStrategies.SPECIFIC_FOR_MAP)
.calledWithArgumentTypes(DataTypes.BIGINT(), DataTypes.BIGINT(), DataTypes.BIGINT())
- .expectErrorMessage("Invalid number of arguments. 3 arguments passed.")
+ .expectErrorMessage("Invalid number of arguments. 3 arguments passed."),
+
+ TestSpec
+ .forStrategy(
+ "Logical type roots instead of concrete data types",
+ sequence(
+ logical(LogicalTypeRoot.VARCHAR),
+ logical(LogicalTypeRoot.DECIMAL),
+ logical(LogicalTypeRoot.DECIMAL),
+ logical(LogicalTypeRoot.BOOLEAN),
+ logical(LogicalTypeRoot.INTEGER, false)))
+ .calledWithArgumentTypes(
+ DataTypes.NULL(),
+ DataTypes.INT(),
+ DataTypes.DOUBLE(),
+ DataTypes.BOOLEAN().notNull(),
+ DataTypes.INT().notNull())
+ .expectSignature(
+ "f(<VARCHAR>, <DECIMAL>, <DECIMAL>, <BOOLEAN>, <INTEGER NOT NULL>)")
+ .expectArgumentTypes(
+ DataTypes.VARCHAR(1),
+ DataTypes.DECIMAL(10, 0),
+ DataTypes.DECIMAL(30, 15),
+ DataTypes.BOOLEAN(),
Review comment:
How about we preserve the nullability? Right now there is no way to say that we accept both. Therefore e.g. we loose the nullability info in such case:
```
.inputTypeStrategy(logical(LogicalTypeRoot.BOOLEAN))
.outputTypeStrategy(TypeStrategies.argument(0))
```
I would suggest either:
* if the `expectedNullability` in `FamilyArgumentTypeStrategy`/`RootArgumentTypeStrategy` is false forward the nullability of the input argument
* introduce three state value -> expect nullable, not null, both
##########
File path: flink-table/flink-table-common/src/test/java/org/apache/flink/table/types/inference/InputTypeStrategiesTest.java
##########
@@ -481,7 +484,70 @@
"Map strategy fails for an odd number of arguments",
InputTypeStrategies.SPECIFIC_FOR_MAP)
.calledWithArgumentTypes(DataTypes.BIGINT(), DataTypes.BIGINT(), DataTypes.BIGINT())
- .expectErrorMessage("Invalid number of arguments. 3 arguments passed.")
+ .expectErrorMessage("Invalid number of arguments. 3 arguments passed."),
+
+ TestSpec
+ .forStrategy(
+ "Logical type roots instead of concrete data types",
+ sequence(
+ logical(LogicalTypeRoot.VARCHAR),
+ logical(LogicalTypeRoot.DECIMAL),
+ logical(LogicalTypeRoot.DECIMAL),
+ logical(LogicalTypeRoot.BOOLEAN),
+ logical(LogicalTypeRoot.INTEGER, false)))
+ .calledWithArgumentTypes(
+ DataTypes.NULL(),
+ DataTypes.INT(),
+ DataTypes.DOUBLE(),
+ DataTypes.BOOLEAN().notNull(),
+ DataTypes.INT().notNull())
+ .expectSignature(
+ "f(<VARCHAR>, <DECIMAL>, <DECIMAL>, <BOOLEAN>, <INTEGER NOT NULL>)")
+ .expectArgumentTypes(
+ DataTypes.VARCHAR(1),
+ DataTypes.DECIMAL(10, 0),
+ DataTypes.DECIMAL(30, 15),
+ DataTypes.BOOLEAN(),
+ DataTypes.INT().notNull()),
+
+ TestSpec
+ .forStrategy(
+ "Logical type roots with wrong implicit cast",
+ sequence(logical(LogicalTypeRoot.VARCHAR)))
+ .calledWithArgumentTypes(DataTypes.INT())
+ .expectSignature("f(<VARCHAR>)")
+ .expectErrorMessage(
+ "Unsupported argument type. Expected type root 'VARCHAR' but actual type was 'INT'."),
+
+ TestSpec
+ .forStrategy(
+ "Logical type roots with wrong nullability",
+ sequence(logical(LogicalTypeRoot.VARCHAR, false)))
+ .calledWithArgumentTypes(DataTypes.VARCHAR(5))
+ .expectSignature("f(<VARCHAR NOT NULL>)")
+ .expectErrorMessage(
+ "Unsupported argument type. Expected nullable type of root 'VARCHAR' but actual type was 'VARCHAR(5)'."),
+
+ TestSpec
+ .forStrategy(
+ "Logical type family instead of concrete data types",
+ sequence(
+ logical(LogicalTypeFamily.CHARACTER_STRING),
+ logical(LogicalTypeFamily.EXACT_NUMERIC),
+ logical(LogicalTypeFamily.APPROXIMATE_NUMERIC),
Review comment:
Can we add a case with e.g. `BIGINT` used with `APPROXIMATE_NUMERIC` family? This should work due to the implicit casts right?
##########
File path: flink-table/flink-table-common/src/main/java/org/apache/flink/table/types/inference/strategies/RootArgumentTypeStrategy.java
##########
@@ -0,0 +1,254 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.table.types.inference.strategies;
+
+import org.apache.flink.annotation.Internal;
+import org.apache.flink.table.api.DataTypes;
+import org.apache.flink.table.functions.FunctionDefinition;
+import org.apache.flink.table.types.DataType;
+import org.apache.flink.table.types.inference.ArgumentTypeStrategy;
+import org.apache.flink.table.types.inference.CallContext;
+import org.apache.flink.table.types.inference.Signature.Argument;
+import org.apache.flink.table.types.logical.BinaryType;
+import org.apache.flink.table.types.logical.CharType;
+import org.apache.flink.table.types.logical.DecimalType;
+import org.apache.flink.table.types.logical.LogicalType;
+import org.apache.flink.table.types.logical.LogicalTypeRoot;
+import org.apache.flink.table.types.logical.VarBinaryType;
+import org.apache.flink.table.types.logical.VarCharType;
+import org.apache.flink.table.types.logical.utils.LogicalTypeCasts;
+import org.apache.flink.util.Preconditions;
+
+import javax.annotation.Nullable;
+
+import java.util.Objects;
+import java.util.Optional;
+
+import static org.apache.flink.table.types.logical.LogicalTypeFamily.APPROXIMATE_NUMERIC;
+import static org.apache.flink.table.types.logical.LogicalTypeFamily.EXACT_NUMERIC;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.BINARY;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.CHAR;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.TIMESTAMP_WITHOUT_TIME_ZONE;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeCasts.supportsImplicitCast;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getLength;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getPrecision;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getScale;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.hasFamily;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.hasRoot;
+
+/**
+ * Strategy for an argument that corresponds to a given {@link LogicalTypeRoot} and nullability.
+ *
+ * <p>Implicit casts will be inserted if possible.
+ */
+@Internal
+public final class RootArgumentTypeStrategy implements ArgumentTypeStrategy {
+
+ private final LogicalTypeRoot expectedRoot;
+
+ private final boolean expectedNullability;
+
+ public RootArgumentTypeStrategy(LogicalTypeRoot expectedRoot, boolean expectedNullability) {
+ this.expectedRoot = Preconditions.checkNotNull(expectedRoot);
+ this.expectedNullability = expectedNullability;
+ }
+
+ @Override
+ public Optional<DataType> inferArgumentType(CallContext callContext, int argumentPos, boolean throwOnFailure) {
+ final DataType actualDataType = callContext.getArgumentDataTypes().get(argumentPos);
+ final LogicalType actualType = actualDataType.getLogicalType();
+
+ if (!expectedNullability && actualType.isNullable()) {
+ if (throwOnFailure) {
+ throw callContext.newValidationError(
+ "Unsupported argument type. Expected nullable type of root '%s' but actual type was '%s'.",
+ expectedRoot,
+ actualType);
+ }
+ return Optional.empty();
+ }
+
+ return findDataType(
+ callContext,
+ throwOnFailure,
+ actualDataType,
+ expectedRoot,
+ expectedNullability);
+ }
+
+ @Override
+ public Argument getExpectedArgument(FunctionDefinition functionDefinition, int argumentPos) {
+ // "< ... >" to indicate that this is not a type
+ if (!expectedNullability) {
+ return Argument.of("<" + expectedRoot + " NOT NULL>");
+ }
+ return Argument.of("<" + expectedRoot + ">");
+ }
+
+ @Override
+ public boolean equals(Object o) {
+ if (this == o) {
+ return true;
+ }
+ if (o == null || getClass() != o.getClass()) {
+ return false;
+ }
+ RootArgumentTypeStrategy that = (RootArgumentTypeStrategy) o;
+ return expectedNullability == that.expectedNullability &&
+ expectedRoot == that.expectedRoot;
+ }
+
+ @Override
+ public int hashCode() {
+ return Objects.hash(expectedRoot, expectedNullability);
+ }
+
+ // --------------------------------------------------------------------------------------------
+
+ /**
+ * Finds a data type that is close to the given data type in terms of nullability and conversion
+ * class but of the given logical root.
+ *
+ * <p>This method is shared with {@link FamilyArgumentTypeStrategy}.
+ */
+ static Optional<DataType> findDataType(
+ CallContext callContext,
+ boolean throwOnFailure,
+ DataType actualDataType,
+ LogicalTypeRoot expectedRoot,
+ boolean expectedNullability) {
+ final LogicalType actualType = actualDataType.getLogicalType();
+ return Optional.ofNullable(findDataTypeOfRoot(actualDataType, expectedRoot))
+ // set nullability
+ .map(newDataType -> {
+ if (expectedNullability) {
+ return newDataType.nullable();
+ } else {
+ return newDataType.notNull();
+ }
+ })
+ // preserve bridging class if possible
+ .map(newDataType -> {
+ final Class<?> clazz = actualDataType.getConversionClass();
+ final LogicalType newType = newDataType.getLogicalType();
+ if (newType.supportsInputConversion(clazz) || newType.supportsOutputConversion(clazz)) {
+ return newDataType.bridgedTo(clazz);
+ }
+ return newDataType;
+ })
+ // check if type can be implicitly casted
+ .filter(newDataType -> {
+ if (supportsImplicitCast(actualType, newDataType.getLogicalType())) {
+ return true;
+ }
+ if (throwOnFailure) {
+ throw callContext.newValidationError(
+ "Unsupported argument type. Expected type root '%s' but actual type was '%s'.",
+ expectedRoot,
+ actualType);
+ }
+ return false;
+ });
+ }
+
+ /**
+ * Returns a data type for the given data type and expected root.
+ *
+ * <p>This method is aligned with {@link LogicalTypeCasts#supportsImplicitCast(LogicalType, LogicalType)}.
+ *
+ * <p>The default output of this method represents the default data type for a NULL literal. Thus,
+ * the output of this method needs to be checked again if an implicit cast is supported.
+ */
+ private static @Nullable DataType findDataTypeOfRoot(
+ DataType actualDataType,
+ LogicalTypeRoot expectedRoot) {
+ final LogicalType actualType = actualDataType.getLogicalType();
+ if (hasRoot(actualType, expectedRoot)) {
+ return actualDataType;
+ }
+ switch (expectedRoot) {
+ case CHAR:
+ return DataTypes.CHAR(CharType.DEFAULT_LENGTH);
+ case VARCHAR:
+ if (hasRoot(actualType, CHAR)) {
+ return DataTypes.VARCHAR(getLength(actualType));
+ }
+ return DataTypes.VARCHAR(VarCharType.DEFAULT_LENGTH);
+ case BOOLEAN:
+ return DataTypes.BOOLEAN();
+ case BINARY:
+ return DataTypes.BINARY(BinaryType.DEFAULT_LENGTH);
+ case VARBINARY:
+ if (hasRoot(actualType, BINARY)) {
+ return DataTypes.VARBINARY(getLength(actualType));
+ }
+ return DataTypes.VARBINARY(VarBinaryType.DEFAULT_LENGTH);
+ case DECIMAL:
+ if (hasFamily(actualType, EXACT_NUMERIC)) {
+ return DataTypes.DECIMAL(getPrecision(actualType), getScale(actualType));
+ } else if (hasFamily(actualType, APPROXIMATE_NUMERIC)) {
+ final int precision = getPrecision(actualType);
+ // we don't know where the precision occurs (before or after the dot)
+ return DataTypes.DECIMAL(precision * 2, precision);
+ }
+ return DataTypes.DECIMAL(DecimalType.MIN_PRECISION, DecimalType.MIN_SCALE);
Review comment:
Why not default precision and scale?
##########
File path: flink-table/flink-table-common/src/test/java/org/apache/flink/table/types/inference/InputTypeStrategiesTest.java
##########
@@ -481,7 +484,70 @@
"Map strategy fails for an odd number of arguments",
InputTypeStrategies.SPECIFIC_FOR_MAP)
.calledWithArgumentTypes(DataTypes.BIGINT(), DataTypes.BIGINT(), DataTypes.BIGINT())
- .expectErrorMessage("Invalid number of arguments. 3 arguments passed.")
+ .expectErrorMessage("Invalid number of arguments. 3 arguments passed."),
+
+ TestSpec
+ .forStrategy(
+ "Logical type roots instead of concrete data types",
+ sequence(
+ logical(LogicalTypeRoot.VARCHAR),
+ logical(LogicalTypeRoot.DECIMAL),
+ logical(LogicalTypeRoot.DECIMAL),
+ logical(LogicalTypeRoot.BOOLEAN),
+ logical(LogicalTypeRoot.INTEGER, false)))
+ .calledWithArgumentTypes(
+ DataTypes.NULL(),
+ DataTypes.INT(),
+ DataTypes.DOUBLE(),
+ DataTypes.BOOLEAN().notNull(),
+ DataTypes.INT().notNull())
+ .expectSignature(
+ "f(<VARCHAR>, <DECIMAL>, <DECIMAL>, <BOOLEAN>, <INTEGER NOT NULL>)")
+ .expectArgumentTypes(
+ DataTypes.VARCHAR(1),
+ DataTypes.DECIMAL(10, 0),
+ DataTypes.DECIMAL(30, 15),
+ DataTypes.BOOLEAN(),
+ DataTypes.INT().notNull()),
+
+ TestSpec
+ .forStrategy(
+ "Logical type roots with wrong implicit cast",
+ sequence(logical(LogicalTypeRoot.VARCHAR)))
+ .calledWithArgumentTypes(DataTypes.INT())
+ .expectSignature("f(<VARCHAR>)")
+ .expectErrorMessage(
+ "Unsupported argument type. Expected type root 'VARCHAR' but actual type was 'INT'."),
+
+ TestSpec
+ .forStrategy(
+ "Logical type roots with wrong nullability",
+ sequence(logical(LogicalTypeRoot.VARCHAR, false)))
+ .calledWithArgumentTypes(DataTypes.VARCHAR(5))
+ .expectSignature("f(<VARCHAR NOT NULL>)")
+ .expectErrorMessage(
+ "Unsupported argument type. Expected nullable type of root 'VARCHAR' but actual type was 'VARCHAR(5)'."),
+
+ TestSpec
+ .forStrategy(
Review comment:
Can we add tests for invalid cases? E.g. Using `FLOAT` with `EXACT_NUMERIC`.
##########
File path: flink-table/flink-table-planner/src/test/scala/org/apache/flink/table/api/batch/table/validation/CalcValidationTest.scala
##########
@@ -102,14 +102,6 @@ class CalcValidationTest extends TableTestBase {
case _: ValidationException => //ignore
}
- try {
- util.addTable[(Int, Long, String)]("Table2")
- .select('_1 as '*, '_2 as 'b, '_1 as 'c)
Review comment:
Why did you remove this test? Is the field reference a problem here? Can we just change it to strings?
```
.select('_1 as "*", '_2 as "b", '_1 as "c")
```
##########
File path: flink-table/flink-table-common/src/main/java/org/apache/flink/table/types/logical/DoubleType.java
##########
@@ -33,6 +33,8 @@
@PublicEvolving
public final class DoubleType extends LogicalType {
+ public static final int PRECISION = 15;
Review comment:
Shouldn't it be 16? https://en.wikipedia.org/wiki/Double-precision_floating-point_format
> With the 52 bits of the fraction (F) significand appearing in the memory format, the total precision is therefore 53 bits (approximately 16 decimal digits, 53 log10(2) ≈ 15.955).
##########
File path: flink-table/flink-table-common/src/main/java/org/apache/flink/table/types/inference/strategies/FamilyArgumentTypeStrategy.java
##########
@@ -0,0 +1,132 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to you under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.table.types.inference.strategies;
+
+import org.apache.flink.annotation.Internal;
+import org.apache.flink.table.functions.FunctionDefinition;
+import org.apache.flink.table.types.DataType;
+import org.apache.flink.table.types.inference.ArgumentTypeStrategy;
+import org.apache.flink.table.types.inference.CallContext;
+import org.apache.flink.table.types.inference.Signature;
+import org.apache.flink.table.types.logical.LogicalType;
+import org.apache.flink.table.types.logical.LogicalTypeFamily;
+import org.apache.flink.table.types.logical.LogicalTypeRoot;
+import org.apache.flink.util.Preconditions;
+
+import java.util.HashMap;
+import java.util.Map;
+import java.util.Objects;
+import java.util.Optional;
+
+import static org.apache.flink.table.types.inference.strategies.RootArgumentTypeStrategy.findDataType;
+
+/**
+ * Strategy for an argument that corresponds to a given {@link LogicalTypeFamily} and nullability.
+ *
+ * <p>Implicit casts will be inserted if possible.
+ */
+@Internal
+public final class FamilyArgumentTypeStrategy implements ArgumentTypeStrategy {
+
+ private final LogicalTypeFamily expectedFamily;
+
+ private final boolean expectedNullability;
+
+ private static final Map<LogicalTypeFamily, LogicalTypeRoot> familyToRoot = new HashMap<>();
+ static {
+ // commonly used type roots for families
+ familyToRoot.put(LogicalTypeFamily.NUMERIC, LogicalTypeRoot.INTEGER);
+ familyToRoot.put(LogicalTypeFamily.EXACT_NUMERIC, LogicalTypeRoot.INTEGER);
Review comment:
Why did you decide for `INTEGER` for `NUMERIC`, `EXACT_NUMERIC` and `BINARY` for `BINARY_STRING`? Shouldn't we use the type with the highest precision? That's what Calcite does. Calcite uses:
* `DECIMAL(MAX_PRECISION, MAX_SCALE)` for `NUMERIC`, `EXACT_NUMERIC`
* `VARBINARY` for `BINARY_STRING`
See `org.apache.calcite.sql.type.SqlTypeFamily#getDefaultConcreteType`
##########
File path: flink-table/flink-table-common/src/main/java/org/apache/flink/table/types/inference/strategies/StrategyUtils.java
##########
@@ -0,0 +1,190 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.table.types.inference.strategies;
+
+import org.apache.flink.table.api.DataTypes;
+import org.apache.flink.table.types.DataType;
+import org.apache.flink.table.types.inference.CallContext;
+import org.apache.flink.table.types.logical.BinaryType;
+import org.apache.flink.table.types.logical.CharType;
+import org.apache.flink.table.types.logical.DecimalType;
+import org.apache.flink.table.types.logical.LogicalType;
+import org.apache.flink.table.types.logical.LogicalTypeRoot;
+import org.apache.flink.table.types.logical.VarBinaryType;
+import org.apache.flink.table.types.logical.VarCharType;
+import org.apache.flink.table.types.logical.utils.LogicalTypeCasts;
+
+import javax.annotation.Nullable;
+
+import java.util.Objects;
+import java.util.Optional;
+
+import static org.apache.flink.table.types.logical.LogicalTypeFamily.APPROXIMATE_NUMERIC;
+import static org.apache.flink.table.types.logical.LogicalTypeFamily.EXACT_NUMERIC;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.BINARY;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.CHAR;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.TIMESTAMP_WITHOUT_TIME_ZONE;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeCasts.supportsImplicitCast;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getLength;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getPrecision;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getScale;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.hasFamily;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.hasRoot;
+
+/**
+ * Utilities for shared logic in classes of this package.
+ */
+final class StrategyUtils {
+
+ /**
+ * Finds a data type that is close to the given data type in terms of nullability and conversion
+ * class but of the given logical root.
+ */
+ static Optional<DataType> findDataType(
+ CallContext callContext,
+ boolean throwOnFailure,
+ DataType actualDataType,
+ LogicalTypeRoot expectedRoot,
+ @Nullable Boolean expectedNullability) {
+ final LogicalType actualType = actualDataType.getLogicalType();
+ return Optional.ofNullable(findDataTypeOfRoot(actualDataType, expectedRoot))
+ // set nullability
+ .map(newDataType -> {
+ if (Objects.equals(expectedNullability, Boolean.TRUE)) {
+ return newDataType.nullable();
+ } else if (Objects.equals(expectedNullability, Boolean.FALSE)) {
+ return newDataType.notNull();
+ }
+ return newDataType;
+ })
+ // preserve bridging class if possible
+ .map(newDataType -> {
+ final Class<?> clazz = actualDataType.getConversionClass();
+ final LogicalType newType = newDataType.getLogicalType();
+ if (newType.supportsInputConversion(clazz)) {
Review comment:
Shouldn't it be `OutputConversionClass` ? Arguments of a UDF are "outputs` of the table ecosystem.
##########
File path: flink-table/flink-table-common/src/main/java/org/apache/flink/table/types/inference/strategies/StrategyUtils.java
##########
@@ -0,0 +1,190 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.table.types.inference.strategies;
+
+import org.apache.flink.table.api.DataTypes;
+import org.apache.flink.table.types.DataType;
+import org.apache.flink.table.types.inference.CallContext;
+import org.apache.flink.table.types.logical.BinaryType;
+import org.apache.flink.table.types.logical.CharType;
+import org.apache.flink.table.types.logical.DecimalType;
+import org.apache.flink.table.types.logical.LogicalType;
+import org.apache.flink.table.types.logical.LogicalTypeRoot;
+import org.apache.flink.table.types.logical.VarBinaryType;
+import org.apache.flink.table.types.logical.VarCharType;
+import org.apache.flink.table.types.logical.utils.LogicalTypeCasts;
+
+import javax.annotation.Nullable;
+
+import java.util.Objects;
+import java.util.Optional;
+
+import static org.apache.flink.table.types.logical.LogicalTypeFamily.APPROXIMATE_NUMERIC;
+import static org.apache.flink.table.types.logical.LogicalTypeFamily.EXACT_NUMERIC;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.BINARY;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.CHAR;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.TIMESTAMP_WITHOUT_TIME_ZONE;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeCasts.supportsImplicitCast;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getLength;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getPrecision;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getScale;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.hasFamily;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.hasRoot;
+
+/**
+ * Utilities for shared logic in classes of this package.
+ */
+final class StrategyUtils {
+
+ /**
+ * Finds a data type that is close to the given data type in terms of nullability and conversion
+ * class but of the given logical root.
+ */
+ static Optional<DataType> findDataType(
+ CallContext callContext,
+ boolean throwOnFailure,
+ DataType actualDataType,
+ LogicalTypeRoot expectedRoot,
+ @Nullable Boolean expectedNullability) {
+ final LogicalType actualType = actualDataType.getLogicalType();
+ return Optional.ofNullable(findDataTypeOfRoot(actualDataType, expectedRoot))
+ // set nullability
+ .map(newDataType -> {
+ if (Objects.equals(expectedNullability, Boolean.TRUE)) {
+ return newDataType.nullable();
+ } else if (Objects.equals(expectedNullability, Boolean.FALSE)) {
+ return newDataType.notNull();
+ }
+ return newDataType;
Review comment:
Use the nullability of the `actualDataType` here? Otherwise `expectedNullability = null` is equivalent to `expectedNullability = true`
##########
File path: flink-table/flink-table-common/src/main/java/org/apache/flink/table/types/inference/strategies/StrategyUtils.java
##########
@@ -0,0 +1,190 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.table.types.inference.strategies;
+
+import org.apache.flink.table.api.DataTypes;
+import org.apache.flink.table.types.DataType;
+import org.apache.flink.table.types.inference.CallContext;
+import org.apache.flink.table.types.logical.BinaryType;
+import org.apache.flink.table.types.logical.CharType;
+import org.apache.flink.table.types.logical.DecimalType;
+import org.apache.flink.table.types.logical.LogicalType;
+import org.apache.flink.table.types.logical.LogicalTypeRoot;
+import org.apache.flink.table.types.logical.VarBinaryType;
+import org.apache.flink.table.types.logical.VarCharType;
+import org.apache.flink.table.types.logical.utils.LogicalTypeCasts;
+
+import javax.annotation.Nullable;
+
+import java.util.Objects;
+import java.util.Optional;
+
+import static org.apache.flink.table.types.logical.LogicalTypeFamily.APPROXIMATE_NUMERIC;
+import static org.apache.flink.table.types.logical.LogicalTypeFamily.EXACT_NUMERIC;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.BINARY;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.CHAR;
+import static org.apache.flink.table.types.logical.LogicalTypeRoot.TIMESTAMP_WITHOUT_TIME_ZONE;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeCasts.supportsImplicitCast;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getLength;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getPrecision;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.getScale;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.hasFamily;
+import static org.apache.flink.table.types.logical.utils.LogicalTypeChecks.hasRoot;
+
+/**
+ * Utilities for shared logic in classes of this package.
+ */
+final class StrategyUtils {
+
+ /**
+ * Finds a data type that is close to the given data type in terms of nullability and conversion
+ * class but of the given logical root.
+ */
+ static Optional<DataType> findDataType(
+ CallContext callContext,
+ boolean throwOnFailure,
+ DataType actualDataType,
+ LogicalTypeRoot expectedRoot,
+ @Nullable Boolean expectedNullability) {
+ final LogicalType actualType = actualDataType.getLogicalType();
+ return Optional.ofNullable(findDataTypeOfRoot(actualDataType, expectedRoot))
+ // set nullability
+ .map(newDataType -> {
+ if (Objects.equals(expectedNullability, Boolean.TRUE)) {
+ return newDataType.nullable();
+ } else if (Objects.equals(expectedNullability, Boolean.FALSE)) {
+ return newDataType.notNull();
+ }
+ return newDataType;
Review comment:
You can see the problem with this test case:
```
TestSpec
.forStrategy(
"...",
logical(LogicalTypeFamily.APPROXIMATE_NUMERIC))
.calledWithArgumentTypes(
DataTypes.BIGINT().notNull())
.expectArgumentTypes(
DataTypes.DOUBLE() // should be NOT NULL, it is nullable for now
),
```
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