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[FLINK-13225][table-planner-blink] Fix type inference for hive udtf
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...nk/src/main/java/org/apache/flink/table/planner/functions/utils/HiveTableSqlFunction.java
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| /* | ||
| * 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. | ||
| */ | ||
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| package org.apache.flink.table.planner.functions.utils; | ||
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| import org.apache.flink.table.functions.TableFunction; | ||
| import org.apache.flink.table.planner.calcite.FlinkTypeFactory; | ||
| import org.apache.flink.table.planner.plan.schema.FlinkTableFunction; | ||
| import org.apache.flink.table.runtime.functions.SqlDateTimeUtils; | ||
| import org.apache.flink.table.types.DataType; | ||
| import org.apache.flink.table.types.logical.LogicalType; | ||
| import org.apache.flink.util.InstantiationUtil; | ||
| import org.apache.flink.util.Preconditions; | ||
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| import org.apache.calcite.rel.type.RelDataType; | ||
| import org.apache.calcite.rel.type.RelDataTypeFactory; | ||
| import org.apache.calcite.sql.SqlCall; | ||
| import org.apache.calcite.sql.SqlCallBinding; | ||
| import org.apache.calcite.sql.SqlKind; | ||
| import org.apache.calcite.sql.SqlLiteral; | ||
| import org.apache.calcite.sql.SqlNode; | ||
| import org.apache.calcite.sql.SqlUtil; | ||
| import org.apache.calcite.util.BitString; | ||
| import org.apache.calcite.util.DateString; | ||
| import org.apache.calcite.util.ImmutableNullableList; | ||
| import org.apache.calcite.util.NlsString; | ||
| import org.apache.calcite.util.Pair; | ||
| import org.apache.calcite.util.TimeString; | ||
| import org.apache.calcite.util.TimestampString; | ||
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| import java.io.IOException; | ||
| import java.lang.reflect.Method; | ||
| import java.math.BigDecimal; | ||
| import java.time.LocalDate; | ||
| import java.time.LocalTime; | ||
| import java.util.ArrayList; | ||
| import java.util.Arrays; | ||
| import java.util.HashMap; | ||
| import java.util.List; | ||
| import java.util.Map; | ||
| import java.util.stream.Collectors; | ||
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| import scala.Tuple3; | ||
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| import static org.apache.flink.table.planner.functions.utils.HiveFunctionUtils.invokeGetResultType; | ||
| import static org.apache.flink.table.planner.functions.utils.HiveFunctionUtils.invokeSetArgs; | ||
| import static org.apache.flink.table.planner.functions.utils.UserDefinedFunctionUtils.buildRelDataType; | ||
| import static org.apache.flink.table.runtime.types.LogicalTypeDataTypeConverter.fromDataTypeToLogicalType; | ||
| import static org.apache.flink.table.runtime.types.LogicalTypeDataTypeConverter.fromLogicalTypeToDataType; | ||
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| /** | ||
| * Hive {@link TableSqlFunction}. | ||
| * Override getFunction to clone function and invoke {@code HiveGenericUDTF#setArgumentTypesAndConstants}. | ||
| * Override SqlReturnTypeInference to invoke {@code HiveGenericUDTF#getHiveResultType} instead of | ||
| * {@code HiveGenericUDTF#getResultType(Object[], Class[])}. | ||
| * | ||
| * @deprecated TODO hack code, its logical should be integrated to TableSqlFunction | ||
| */ | ||
| @Deprecated | ||
| public class HiveTableSqlFunction extends TableSqlFunction { | ||
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| private final TableFunction hiveUdtf; | ||
| private final HiveOperandTypeChecker operandTypeChecker; | ||
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| public HiveTableSqlFunction(String name, String displayName, | ||
| TableFunction hiveUdtf, | ||
| DataType implicitResultType, | ||
| FlinkTypeFactory typeFactory, | ||
| FlinkTableFunction functionImpl, | ||
| HiveOperandTypeChecker operandTypeChecker) { | ||
| super(name, displayName, hiveUdtf, implicitResultType, typeFactory, functionImpl, scala.Option.apply(operandTypeChecker)); | ||
| this.hiveUdtf = hiveUdtf; | ||
| this.operandTypeChecker = operandTypeChecker; | ||
| } | ||
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| @Override | ||
| public TableFunction makeFunction(Object[] constantArguments, LogicalType[] argTypes) { | ||
| TableFunction clone; | ||
| try { | ||
| clone = InstantiationUtil.clone(hiveUdtf); | ||
| } catch (IOException | ClassNotFoundException e) { | ||
| throw new RuntimeException(e); | ||
| } | ||
| return (TableFunction) invokeSetArgs(clone, constantArguments, argTypes); | ||
| } | ||
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| @Override | ||
| public RelDataType getRowType(RelDataTypeFactory typeFactory, List<SqlNode> operandList) { | ||
| Preconditions.checkNotNull(operandTypeChecker.previousArgTypes); | ||
| FlinkTypeFactory factory = (FlinkTypeFactory) typeFactory; | ||
| Object[] arguments = convertArguments( | ||
| Arrays.stream(operandTypeChecker.previousArgTypes) | ||
| .map(factory::createFieldTypeFromLogicalType) | ||
| .collect(Collectors.toList()), | ||
| operandList); | ||
| DataType resultType = fromLogicalTypeToDataType(FlinkTypeFactory.toLogicalType( | ||
| invokeGetResultType(hiveUdtf, arguments, operandTypeChecker.previousArgTypes, (FlinkTypeFactory) typeFactory))); | ||
| Tuple3<String[], int[], LogicalType[]> fieldInfo = UserDefinedFunctionUtils.getFieldInfo(resultType); | ||
| return buildRelDataType(typeFactory, fromDataTypeToLogicalType(resultType), fieldInfo._1(), fieldInfo._2()); | ||
| } | ||
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| /** | ||
| * This method is copied from calcite, and modify it to not rely on Function. | ||
| * TODO FlinkTableFunction need implement getElementType. | ||
| */ | ||
| private static Object[] convertArguments( | ||
| List<RelDataType> operandTypes, | ||
| List<SqlNode> operandList) { | ||
| List<Object> arguments = new ArrayList<>(operandList.size()); | ||
| // Construct a list of arguments, if they are all constants. | ||
| for (Pair<RelDataType, SqlNode> pair | ||
| : Pair.zip(operandTypes, operandList)) { | ||
| try { | ||
| final Object o = getValue(pair.right); | ||
| final Object o2 = coerce(o, pair.left); | ||
| arguments.add(o2); | ||
| } catch (NonLiteralException e) { | ||
| arguments.add(null); | ||
| } | ||
| } | ||
| return arguments.toArray(); | ||
| } | ||
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| private static Object coerce(Object value, RelDataType type) { | ||
| if (value == null) { | ||
| return null; | ||
| } | ||
| switch (type.getSqlTypeName()) { | ||
| case CHAR: | ||
| return ((NlsString) value).getValue(); | ||
| case BINARY: | ||
| return ((BitString) value).getAsByteArray(); | ||
| case DECIMAL: | ||
| return value; | ||
| case BIGINT: | ||
| return ((BigDecimal) value).longValue(); | ||
| case INTEGER: | ||
| return ((BigDecimal) value).intValue(); | ||
| case SMALLINT: | ||
| return ((BigDecimal) value).shortValue(); | ||
| case TINYINT: | ||
| return ((BigDecimal) value).byteValue(); | ||
| case DOUBLE: | ||
| return ((BigDecimal) value).doubleValue(); | ||
| case REAL: | ||
| return ((BigDecimal) value).floatValue(); | ||
| case FLOAT: | ||
| return ((BigDecimal) value).floatValue(); | ||
| case DATE: | ||
| return LocalDate.ofEpochDay(((DateString) value).getDaysSinceEpoch()); | ||
| case TIME: | ||
| return LocalTime.ofNanoOfDay(((TimeString) value).getMillisOfDay() * 1000_000); | ||
| case TIMESTAMP: | ||
| return SqlDateTimeUtils.unixTimestampToLocalDateTime(((TimestampString) value).getMillisSinceEpoch()); | ||
| default: | ||
| throw new RuntimeException("Not support type: " + type); | ||
| } | ||
| } | ||
|
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| private static Object getValue(SqlNode right) throws NonLiteralException { | ||
| switch (right.getKind()) { | ||
| case ARRAY_VALUE_CONSTRUCTOR: | ||
| final List<Object> list = new ArrayList<>(); | ||
| for (SqlNode o : ((SqlCall) right).getOperandList()) { | ||
| list.add(getValue(o)); | ||
| } | ||
| return ImmutableNullableList.copyOf(list).toArray(); | ||
| case MAP_VALUE_CONSTRUCTOR: | ||
| final Map<Object, Object> map = new HashMap<>(); | ||
| final List<SqlNode> operands = ((SqlCall) right).getOperandList(); | ||
| for (int i = 0; i < operands.size(); i += 2) { | ||
| final SqlNode key = operands.get(i); | ||
| final SqlNode value = operands.get(i + 1); | ||
| map.put(getValue(key), getValue(value)); | ||
| } | ||
| return map; | ||
| default: | ||
| if (SqlUtil.isNullLiteral(right, true)) { | ||
| return null; | ||
| } | ||
| if (SqlUtil.isLiteral(right)) { | ||
| return ((SqlLiteral) right).getValue(); | ||
| } | ||
| if (right.getKind() == SqlKind.DEFAULT) { | ||
| return null; // currently NULL is the only default value | ||
| } | ||
| throw new NonLiteralException(); | ||
| } | ||
| } | ||
|
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| /** Thrown when a non-literal occurs in an argument to a user-defined | ||
| * table macro. */ | ||
| private static class NonLiteralException extends Exception { | ||
| } | ||
|
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| public static HiveOperandTypeChecker operandTypeChecker(String name, TableFunction udtf) { | ||
| return new HiveOperandTypeChecker(name, udtf, UserDefinedFunctionUtils.checkAndExtractMethods(udtf, "eval")); | ||
| } | ||
|
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| /** | ||
| * Checker for remember previousArgTypes. | ||
| * | ||
| * @deprecated TODO hack code, should modify calcite getRowType to pass operand types | ||
| */ | ||
| @Deprecated | ||
| public static class HiveOperandTypeChecker extends OperandTypeChecker { | ||
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| private LogicalType[] previousArgTypes; | ||
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| private HiveOperandTypeChecker(String name, TableFunction udtf, Method[] methods) { | ||
| super(name, udtf, methods); | ||
| } | ||
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| @Override | ||
| public boolean checkOperandTypes(SqlCallBinding callBinding, boolean throwOnFailure) { | ||
| previousArgTypes = UserDefinedFunctionUtils.getOperandTypeArray(callBinding); | ||
| return super.checkOperandTypes(callBinding, throwOnFailure); | ||
| } | ||
| } | ||
| } |
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