[
https://issues.apache.org/jira/browse/BEAM-4791?focusedWorklogId=123844&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-123844
]
ASF GitHub Bot logged work on BEAM-4791:
----------------------------------------
Author: ASF GitHub Bot
Created on: 16/Jul/18 22:56
Start Date: 16/Jul/18 22:56
Worklog Time Spent: 10m
Work Description: tweise commented on a change in pull request #5957:
[BEAM-4791] Portable Flink runner integration test.
URL: https://github.com/apache/beam/pull/5957#discussion_r202850284
##########
File path:
runners/flink/src/test/java/org/apache/beam/runners/flink/PortableExecutionTest.java
##########
@@ -0,0 +1,234 @@
+/*
+ * 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.beam.runners.flink;
+
+import static org.hamcrest.Matchers.containsInAnyOrder;
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertThat;
+
+import com.google.common.net.HostAndPort;
+import com.google.common.util.concurrent.ListeningExecutorService;
+import com.google.common.util.concurrent.MoreExecutors;
+import com.google.common.util.concurrent.ThreadFactoryBuilder;
+import java.io.Serializable;
+import java.time.Duration;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.concurrent.ExecutionException;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.Executors;
+import java.util.concurrent.Future;
+import java.util.concurrent.ThreadFactory;
+import org.apache.beam.fn.harness.FnHarness;
+import org.apache.beam.fn.harness.stream.HarnessStreamObserverFactories;
+import org.apache.beam.model.jobmanagement.v1.JobApi.JobState.Enum;
+import org.apache.beam.model.pipeline.v1.RunnerApi;
+import org.apache.beam.runners.core.construction.PipelineTranslation;
+import org.apache.beam.runners.fnexecution.GrpcFnServer;
+import org.apache.beam.runners.fnexecution.ServerFactory;
+import org.apache.beam.runners.fnexecution.artifact.ArtifactRetrievalService;
+import org.apache.beam.runners.fnexecution.control.ControlClientPool.Source;
+import org.apache.beam.runners.fnexecution.control.DockerJobBundleFactory;
+import
org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService;
+import org.apache.beam.runners.fnexecution.control.InstructionRequestHandler;
+import org.apache.beam.runners.fnexecution.environment.EnvironmentFactory;
+import org.apache.beam.runners.fnexecution.environment.RemoteEnvironment;
+import org.apache.beam.runners.fnexecution.logging.GrpcLoggingService;
+import org.apache.beam.runners.fnexecution.provisioning.JobInfo;
+import
org.apache.beam.runners.fnexecution.provisioning.StaticGrpcProvisionService;
+import org.apache.beam.sdk.Pipeline;
+import org.apache.beam.sdk.coders.BigEndianLongCoder;
+import org.apache.beam.sdk.coders.KvCoder;
+import org.apache.beam.sdk.coders.StringUtf8Coder;
+import org.apache.beam.sdk.fn.IdGenerator;
+import org.apache.beam.sdk.fn.channel.ManagedChannelFactory;
+import org.apache.beam.sdk.options.PipelineOptionsFactory;
+import org.apache.beam.sdk.transforms.DoFn;
+import org.apache.beam.sdk.transforms.GroupByKey;
+import org.apache.beam.sdk.transforms.Impulse;
+import org.apache.beam.sdk.transforms.ParDo;
+import org.apache.beam.sdk.transforms.WithKeys;
+import org.apache.beam.sdk.values.KV;
+import org.junit.After;
+import org.junit.Before;
+import org.junit.Test;
+import org.junit.runner.RunWith;
+import org.junit.runners.Parameterized;
+import org.junit.runners.Parameterized.Parameter;
+import org.junit.runners.Parameterized.Parameters;
+
+/**
+ * Tests the execution of a pipeline from specification to execution on the
portable Flink runner.
+ * Exercises job invocation, executable stage translation and deployment with
embedded Flink for
+ * batch and streaming.
+ */
+@RunWith(Parameterized.class)
+public class PortableExecutionTest implements Serializable {
+
+ @Parameters
+ public static Object[] data() {
+ return new Object[] {true, false};
+ }
+
+ @Parameter public boolean isStreaming;
+
+ private transient ExecutorService sdkHarnessExecutor;
+ private transient Future<?> sdkHarnessExecutorFuture;
+
+ private DockerJobBundleFactory createJobBundleFactory(JobInfo jobInfo)
throws Exception {
+ return new DockerJobBundleFactory(jobInfo) {
+
+ @Override
+ protected ServerFactory getServerFactory() {
+ return ServerFactory.createWithUrlFactory(
+ (host, port) -> HostAndPort.fromParts("localhost",
port).toString());
+ //return InProcessServerFactory.create();
+ }
+
+ @Override
+ protected EnvironmentFactory getEnvironmentFactory(
+ GrpcFnServer<FnApiControlClientPoolService> controlServer,
+ GrpcFnServer<GrpcLoggingService> loggingServer,
+ GrpcFnServer<ArtifactRetrievalService> retrievalServer,
+ GrpcFnServer<StaticGrpcProvisionService> provisioningServiceServer,
+ Source clientSource,
+ IdGenerator idGenerator) {
+ String workerId = "fakeWorkerId";
+ ThreadFactory threadFactory = new
ThreadFactoryBuilder().setDaemon(true).build();
+ // Create the SDK harness, and wait until it connects
+ sdkHarnessExecutor = Executors.newSingleThreadExecutor(threadFactory);
+ sdkHarnessExecutorFuture =
+ sdkHarnessExecutor.submit(
+ () -> {
+ try {
+ FnHarness.main(
+ workerId,
+ PipelineOptionsFactory.create(),
+ loggingServer.getApiServiceDescriptor(),
+ controlServer.getApiServiceDescriptor(),
+ ManagedChannelFactory.createDefault(),
+ //InProcessManagedChannelFactory.create(),
+ HarnessStreamObserverFactories.fromOptions(
+ PipelineOptionsFactory.create()));
+ } catch (Exception e) {
+ throw new RuntimeException(e);
+ }
+ });
+ try {
+ InstructionRequestHandler controlClient =
+ clientSource.take(workerId, Duration.ofSeconds(2));
+ return (container) -> RemoteEnvironment.forHandler(container,
controlClient);
+ } catch (Exception ex) {
+ throw new RuntimeException(ex);
+ }
+ }
+ };
+ }
+
+ @Before
+ public void setup() {
+ DockerJobBundleFactory.factory = this::createJobBundleFactory;
+ }
+
+ @After
+ public void tearDown() throws Exception {
+ sdkHarnessExecutor.shutdownNow();
+ try {
+ sdkHarnessExecutorFuture.get();
+ } catch (ExecutionException e) {
+ if (e.getCause() instanceof RuntimeException
+ && e.getCause().getCause() instanceof InterruptedException) {
+ // expected
+ } else {
+ throw e;
+ }
+ }
+ }
+
+ private static ArrayList<KV<String, Iterable<Long>>> outputValues = new
ArrayList<>();
+
+ @Test
+ public void testExecution() throws Exception {
+ Pipeline p = Pipeline.create();
+ p.apply("impulse", Impulse.create())
+ .apply(
+ "create",
+ ParDo.of(
+ new DoFn<byte[], String>() {
+ @ProcessElement
+ public void process(ProcessContext ctxt) {
+ ctxt.output("zero");
+ ctxt.output("one");
+ ctxt.output("two");
+ }
+ }))
+ .apply(
+ "len",
+ ParDo.of(
+ new DoFn<String, Long>() {
+ @ProcessElement
+ public void process(ProcessContext ctxt) {
+ ctxt.output((long) ctxt.element().length());
+ }
+ }))
+ .apply("addKeys", WithKeys.of("foo"))
+ // Use some unknown coders
+ .setCoder(KvCoder.of(StringUtf8Coder.of(), BigEndianLongCoder.of()))
+ // Force the output to be materialized
+ .apply("gbk", GroupByKey.create())
+ .apply(
+ "collect",
+ ParDo.of(
+ new DoFn<KV<String, Iterable<Long>>, Void>() {
+ @ProcessElement
+ public void process(ProcessContext ctx) {
+ outputValues.add(ctx.element());
+ }
+ }));
+
+ RunnerApi.Pipeline pipelineProto = PipelineTranslation.toProto(p);
+
+ outputValues.clear();
+ // execute the pipeline
+ ListeningExecutorService executor =
+ MoreExecutors.listeningDecorator(Executors.newCachedThreadPool());
+ FlinkPipelineOptions options =
PipelineOptionsFactory.as(FlinkPipelineOptions.class);
+ options.setFlinkMaster("[local]");
+ options.setStreaming(isStreaming);
+ FlinkJobInvocation jobInvocation =
+ FlinkJobInvocation.create(
+ "fakeId",
+ "fakeRetrievalToken",
+ executor,
+ pipelineProto,
+ options,
+ Collections.EMPTY_LIST);
+ jobInvocation.start();
+ long timeout = System.currentTimeMillis() + 30 * 1000;
Review comment:
The test completes in ~9 seconds for both batch and streaming on my macbook.
It would only take 30s in the case of a failure..
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
Issue Time Tracking
-------------------
Worklog Id: (was: 123844)
Time Spent: 2h 20m (was: 2h 10m)
> Integration test for portable Flink runner basic batch/streaming execution
> --------------------------------------------------------------------------
>
> Key: BEAM-4791
> URL: https://issues.apache.org/jira/browse/BEAM-4791
> Project: Beam
> Issue Type: Task
> Components: runner-flink
> Reporter: Thomas Weise
> Assignee: Thomas Weise
> Priority: Major
> Labels: portability
> Time Spent: 2h 20m
> Remaining Estimate: 0h
>
> Run a simple pipeline in embedded mode to verify the basic workings of
> JobInvocation/translation/execution for both, batch and streaming. Although
> there will be some overlap with (future) ValidatesRunner, this test is meant
> to run as part of the unit tests.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
