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[FLINK-14016][python][flink-table-planner] Introduce DataStreamPython…
…Calc for Python function execution
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...e/flink-table-common/src/main/java/org/apache/flink/table/functions/FunctionLanguage.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.functions; | ||
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| import org.apache.flink.annotation.PublicEvolving; | ||
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| /** | ||
| * Categorizes the language of a {@link FunctionDefinition}. | ||
| */ | ||
| @PublicEvolving | ||
| public enum FunctionLanguage { | ||
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| JVM, | ||
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| PYTHON | ||
| } |
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...le-common/src/main/java/org/apache/flink/table/functions/python/SimplePythonFunction.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.functions.python; | ||
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| import org.apache.flink.annotation.Internal; | ||
| import org.apache.flink.util.Preconditions; | ||
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| /** | ||
| * A simple implementation of {@link PythonFunction}. | ||
| */ | ||
| @Internal | ||
| public final class SimplePythonFunction implements PythonFunction { | ||
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| private static final long serialVersionUID = 1L; | ||
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| /** | ||
| * Serialized representation of the user-defined python function. | ||
| */ | ||
| private final byte[] serializedPythonFunction; | ||
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| /** | ||
| * Python execution environment. | ||
| */ | ||
| private final PythonEnv pythonEnv; | ||
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| public SimplePythonFunction(byte[] serializedPythonFunction, PythonEnv pythonEnv) { | ||
| this.serializedPythonFunction = Preconditions.checkNotNull(serializedPythonFunction); | ||
| this.pythonEnv = Preconditions.checkNotNull(pythonEnv); | ||
| } | ||
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| @Override | ||
| public byte[] getSerializedPythonFunction() { | ||
| return serializedPythonFunction; | ||
| } | ||
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| @Override | ||
| public PythonEnv getPythonEnv() { | ||
| return pythonEnv; | ||
| } | ||
| } |
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72 changes: 72 additions & 0 deletions
72
...ink-table-planner/src/main/scala/org/apache/flink/table/plan/nodes/CommonPythonCalc.scala
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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. | ||
| */ | ||
| package org.apache.flink.table.plan.nodes | ||
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| import org.apache.calcite.rex.{RexCall, RexInputRef, RexNode} | ||
| import org.apache.flink.table.functions.FunctionLanguage | ||
| import org.apache.flink.table.functions.python.{PythonFunction, PythonFunctionInfo, SimplePythonFunction} | ||
| import org.apache.flink.table.functions.utils.ScalarSqlFunction | ||
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| import scala.collection.JavaConversions._ | ||
| import scala.collection.mutable | ||
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| trait CommonPythonCalc { | ||
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| private[flink] def extractPythonScalarFunctionInfos( | ||
| rexCalls: Array[RexCall]): (Array[Int], Array[PythonFunctionInfo]) = { | ||
| // using LinkedHashMap to keep the insert order | ||
| val inputNodes = new mutable.LinkedHashMap[RexNode, Integer]() | ||
| val pythonFunctionInfos = rexCalls.map(createPythonScalarFunctionInfo(_, inputNodes)) | ||
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| val udfInputOffsets = inputNodes.toArray.sortBy(_._2).map(_._1).map { | ||
| case inputRef: RexInputRef => inputRef.getIndex | ||
| } | ||
| (udfInputOffsets, pythonFunctionInfos) | ||
| } | ||
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| private[flink] def createPythonScalarFunctionInfo( | ||
| rexCall: RexCall, | ||
| inputNodes: mutable.Map[RexNode, Integer]): PythonFunctionInfo = rexCall.getOperator match { | ||
| case sfc: ScalarSqlFunction if sfc.getScalarFunction.getLanguage == FunctionLanguage.PYTHON => | ||
| val inputs = new mutable.ArrayBuffer[AnyRef]() | ||
| rexCall.getOperands.foreach { | ||
| case pythonRexCall: RexCall if pythonRexCall.getOperator.asInstanceOf[ScalarSqlFunction] | ||
| .getScalarFunction.getLanguage == FunctionLanguage.PYTHON => | ||
| // Continuous Python UDFs can be chained together | ||
| val argPythonInfo = createPythonScalarFunctionInfo(pythonRexCall, inputNodes) | ||
| inputs.append(argPythonInfo) | ||
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| case argNode: RexNode => | ||
| // For input arguments of RexInputRef, it's replaced with an offset into the input row; | ||
| inputNodes.get(argNode) match { | ||
| case Some(existing) => inputs.append(existing) | ||
| case None => | ||
| val inputOffset = Integer.valueOf(inputNodes.size) | ||
| inputs.append(inputOffset) | ||
| inputNodes.put(argNode, inputOffset) | ||
| } | ||
| } | ||
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| // Extracts the necessary information for Python function execution, such as | ||
| // the serialized Python function, the Python env, etc | ||
| val pythonFunction = new SimplePythonFunction( | ||
| sfc.getScalarFunction.asInstanceOf[PythonFunction].getSerializedPythonFunction, | ||
| sfc.getScalarFunction.asInstanceOf[PythonFunction].getPythonEnv) | ||
| new PythonFunctionInfo(pythonFunction, inputs.toArray) | ||
| } | ||
| } |
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