lihaosky commented on code in PR #27041:
URL: https://github.com/apache/flink/pull/27041#discussion_r2431030319
##########
flink-table/flink-table-planner/src/main/java/org/apache/flink/table/planner/plan/nodes/exec/stream/StreamExecMLPredictTableFunction.java:
##########
@@ -206,25 +200,15 @@ private Transformation<RowData> createModelPredict(
resultRowType,
mlPredictSpec.getFeatures(),
predictFunction,
- "MLPredict",
+
modelSpec.getContextResolvedModel().getIdentifier().asSummaryString(),
Review Comment:
Sorry didn't get it. Which required interface? Is it to improve error
message?
##########
flink-table/flink-table-runtime/src/main/java/org/apache/flink/table/runtime/operators/ml/AsyncMLPredictRunner.java:
##########
@@ -0,0 +1,138 @@
+/*
+ * 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.runtime.operators.ml;
+
+import org.apache.flink.api.common.functions.OpenContext;
+import org.apache.flink.metrics.MetricGroup;
+import org.apache.flink.streaming.api.functions.async.AsyncFunction;
+import org.apache.flink.streaming.api.functions.async.CollectionSupplier;
+import org.apache.flink.streaming.api.functions.async.ResultFuture;
+import org.apache.flink.table.data.RowData;
+import org.apache.flink.table.data.utils.JoinedRowData;
+import org.apache.flink.table.functions.AsyncPredictFunction;
+import org.apache.flink.table.runtime.generated.GeneratedFunction;
+import org.apache.flink.table.runtime.operators.AbstractAsyncFunctionRunner;
+
+import java.util.ArrayList;
+import java.util.Collection;
+import java.util.List;
+import java.util.concurrent.ArrayBlockingQueue;
+import java.util.concurrent.BlockingQueue;
+
+/**
+ * Async function runner for {@link AsyncPredictFunction}, which takes the
generated function,
+ * instantiates it, and then calls its lifecycle methods.
+ */
+public class AsyncMLPredictRunner extends AbstractAsyncFunctionRunner<RowData>
{
+
+ private final int asyncBufferCapacity;
+
+ /**
+ * Buffers {@link ResultFuture} to avoid newInstance cost when processing
elements every time.
+ * We use {@link BlockingQueue} to make sure the head {@link
ResultFuture}s are available.
+ */
+ private transient BlockingQueue<JoinedRowResultFuture> resultFutureBuffer;
+
+ public AsyncMLPredictRunner(
+ GeneratedFunction<AsyncFunction<RowData, RowData>>
generatedFetcher,
+ int asyncBufferCapacity) {
+ super(generatedFetcher);
+ this.asyncBufferCapacity = asyncBufferCapacity;
+ }
+
+ @Override
+ public void open(OpenContext openContext) throws Exception {
+ super.open(openContext);
+ this.resultFutureBuffer = new ArrayBlockingQueue<>(asyncBufferCapacity
+ 1);
+ for (int i = 0; i < asyncBufferCapacity + 1; i++) {
+ JoinedRowResultFuture rf = new
JoinedRowResultFuture(resultFutureBuffer);
+ // add will throw exception immediately if the queue is full which
should never happen
+ resultFutureBuffer.add(rf);
+ }
+ registerMetric(getRuntimeContext().getMetricGroup());
+ }
+
+ @Override
+ public void asyncInvoke(RowData input, ResultFuture<RowData> resultFuture)
throws Exception {
+ try {
+ JoinedRowResultFuture buffer = resultFutureBuffer.take();
+ buffer.reset(input, resultFuture);
+ fetcher.asyncInvoke(input, buffer);
+ } catch (Throwable t) {
+ resultFuture.completeExceptionally(t);
+ }
+ }
+
+ private void registerMetric(MetricGroup metricGroup) {
+ metricGroup.gauge(
+ "ai_queue_length", () -> asyncBufferCapacity + 1 -
resultFutureBuffer.size());
Review Comment:
I mean `resultFutureBuffer.size()` is always equal to `asyncBufferCapacity +
1` from `open()`. So this is alway 0?
##########
flink-table/flink-table-planner/src/main/scala/org/apache/flink/table/planner/codegen/MLPredictCodeGenerator.scala:
##########
@@ -0,0 +1,144 @@
+/*
+ * 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.planner.codegen
+
+import org.apache.flink.api.common.functions.FlatMapFunction
+import org.apache.flink.configuration.ReadableConfig
+import org.apache.flink.streaming.api.functions.async.AsyncFunction
+import org.apache.flink.table.catalog.DataTypeFactory
+import org.apache.flink.table.data.RowData
+import org.apache.flink.table.functions.{AsyncTableFunction, TableFunction,
UserDefinedFunction}
+import
org.apache.flink.table.planner.codegen.FunctionCallCodeGenerator.GeneratedTableFunctionWithDataType
+import org.apache.flink.table.planner.codegen.calls.BridgingFunctionGenUtil
+import org.apache.flink.table.planner.functions.inference.FunctionCallContext
+import org.apache.flink.table.planner.plan.utils.FunctionCallUtil.FunctionParam
+import org.apache.flink.table.runtime.collector.ListenableCollector
+import org.apache.flink.table.runtime.generated.{GeneratedCollector,
GeneratedFunction}
+import org.apache.flink.table.types.inference.{TypeInference, TypeStrategies,
TypeTransformations}
+import org.apache.flink.table.types.logical.{LogicalType, RowType}
+import org.apache.flink.table.types.utils.DataTypeUtils.transform
+
+import java.util
+
+import scala.collection.JavaConverters._
+
+object MLPredictCodeGenerator {
+
+ /** Generates a predict function ([[TableFunction]]) */
+ def generateSyncPredictFunction(
+ tableConfig: ReadableConfig,
+ classLoader: ClassLoader,
+ dataTypeFactory: DataTypeFactory,
+ inputType: LogicalType,
+ predictFunctionOutputType: LogicalType,
+ collectorOutputType: LogicalType,
+ features: util.List[FunctionParam],
+ syncPredictFunction: TableFunction[_],
+ functionName: String,
+ fieldCopy: Boolean
+ ): GeneratedFunction[FlatMapFunction[RowData, RowData]] = {
+ FunctionCallCodeGenerator
+ .generateSyncFunctionCall(
+ tableConfig,
+ classLoader,
+ dataTypeFactory,
+ inputType,
+ predictFunctionOutputType,
+ collectorOutputType,
+ features,
+ syncPredictFunction,
+ generateCallWithDataType(functionName, predictFunctionOutputType),
+ functionName,
+ "PredictFunction",
+ fieldCopy
+ )
+ .tableFunc
+ }
+
+ /** Generates a async predict function ([[AsyncTableFunction]]) */
+ def generateAsyncPredictFunction(
+ tableConfig: ReadableConfig,
+ classLoader: ClassLoader,
+ dataTypeFactory: DataTypeFactory,
+ inputType: LogicalType,
+ predictFunctionOutputType: LogicalType,
+ collectorOutputType: LogicalType,
+ features: util.List[FunctionParam],
+ asyncPredictFunction: AsyncTableFunction[_],
+ functionName: String):
GeneratedTableFunctionWithDataType[AsyncFunction[RowData, AnyRef]] = {
+ FunctionCallCodeGenerator.generateAsyncFunctionCall(
+ tableConfig,
+ classLoader,
+ dataTypeFactory,
+ inputType,
+ predictFunctionOutputType,
+ collectorOutputType,
+ features,
+ asyncPredictFunction,
+ generateCallWithDataType(functionName, predictFunctionOutputType),
+ functionName,
+ "AsyncPredictFunction"
+ )
+ }
+
+ /** Generate a collector to collect to join the input row and predicted
results. */
+ def generateCollector(
+ ctx: CodeGeneratorContext,
+ inputRowType: RowType,
+ predictFunctionOutputType: RowType,
+ collectorOutputType: RowType
+ ): GeneratedCollector[ListenableCollector[RowData]] = {
+ FunctionCallCodeGenerator.generateCollector(
+ ctx,
+ inputRowType,
+ predictFunctionOutputType,
+ collectorOutputType,
+ Option.empty,
+ Option.empty
+ )
+ }
+
+ private def generateCallWithDataType(
+ functionName: String,
+ modelOutputType: LogicalType
+ ) = (
+ ctx: CodeGeneratorContext,
+ callContext: FunctionCallContext,
+ udf: UserDefinedFunction,
+ operands: Seq[GeneratedExpression]) => {
+ val inference = TypeInference
Review Comment:
ml_predict has type inference defined already?
https://github.com/apache/flink/blob/master/flink-table/flink-table-common/src/main/java/org/apache/flink/table/functions/BuiltInFunctionDefinitions.java#L740-L754
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