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https://issues.apache.org/jira/browse/BEAM-9383?focusedWorklogId=429592&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-429592
]
ASF GitHub Bot logged work on BEAM-9383:
----------------------------------------
Author: ASF GitHub Bot
Created on: 01/May/20 18:16
Start Date: 01/May/20 18:16
Worklog Time Spent: 10m
Work Description: robertwb commented on a change in pull request #11039:
URL: https://github.com/apache/beam/pull/11039#discussion_r418651280
##########
File path: model/pipeline/src/main/proto/beam_runner_api.proto
##########
@@ -1271,6 +1271,11 @@ message DeferredArtifactPayload {
message ArtifactStagingToRolePayload {
// A generated staged name (relative path under staging directory).
string staged_name = 1;
+
+ // (Optional) An artifact name when a runner supports it.
+ // For example, DataflowRunner requires predefined names for some artifacts
+ // such as "dataflow-worker.jar", "windmill_main".
+ string alias_name = 2;
Review comment:
Why does this have to be distinct from staged_name? (Also, eventually we
hope that designated roles can remove the need for magic names.)
##########
File path:
runners/core-construction-java/src/main/java/org/apache/beam/runners/core/construction/Environments.java
##########
@@ -210,56 +209,55 @@ public static Environment createProcessEnvironment(
}
}
- private static List<ArtifactInformation> getArtifacts(List<String>
stagingFiles) {
- Set<String> pathsToStage = Sets.newHashSet(stagingFiles);
+ public static List<ArtifactInformation> getArtifacts(
+ List<String> stagingFiles, StagingFileNameGenerator generator) {
ImmutableList.Builder<ArtifactInformation> artifactsBuilder =
ImmutableList.builder();
- for (String path : pathsToStage) {
+ for (String path : ImmutableSet.copyOf(stagingFiles)) {
Review comment:
Isn't order important to preserve? (Also, why do we need to make a copy?)
##########
File path:
runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/DataflowRunner.java
##########
@@ -784,7 +877,25 @@ public DataflowPipelineJob run(Pipeline pipeline) {
"Executing pipeline on the Dataflow Service, which will have billing
implications "
+ "related to Google Compute Engine usage and other Google Cloud
Services.");
- List<DataflowPackage> packages = options.getStager().stageDefaultFiles();
+ // Capture the sdkComponents for look up during step translations
+ SdkComponents sdkComponents = SdkComponents.create();
+
+ DataflowPipelineOptions dataflowOptions =
options.as(DataflowPipelineOptions.class);
+ String workerHarnessContainerImageURL =
DataflowRunner.getContainerImageForJob(dataflowOptions);
+ RunnerApi.Environment defaultEnvironmentForDataflow =
+ Environments.createDockerEnvironment(workerHarnessContainerImageURL);
+
+ sdkComponents.registerEnvironment(
+ defaultEnvironmentForDataflow
+ .toBuilder()
+ .addAllDependencies(getDefaultArtifacts())
Review comment:
How does this get invoked for cross-language pipelines?
##########
File path:
runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/util/PackageUtil.java
##########
@@ -336,25 +323,26 @@ public DataflowPackage stageToFile(
final AtomicInteger numCached = new AtomicInteger(0);
List<CompletionStage<DataflowPackage>> destinationPackages = new
ArrayList<>();
- for (String classpathElement : classpathElements) {
- DataflowPackage sourcePackage = new DataflowPackage();
- if (classpathElement.contains("=")) {
- String[] components = classpathElement.split("=", 2);
- sourcePackage.setName(components[0]);
- sourcePackage.setLocation(components[1]);
- } else {
- sourcePackage.setName(null);
- sourcePackage.setLocation(classpathElement);
+ for (StagedFile classpathElement : classpathElements) {
+ DataflowPackage targetPackage = classpathElement.getStagedPackage();
+ String source = classpathElement.getSource();
+ if (source.contains("=")) {
Review comment:
Why do we have to handle this here and above?
##########
File path:
runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/DataflowRunner.java
##########
@@ -772,6 +783,88 @@ private Debuggee registerDebuggee(CloudDebugger
debuggerClient, String uniquifie
}
}
+ private List<DataflowPackage> stageArtifacts(RunnerApi.Pipeline pipeline) {
+ ImmutableList.Builder<StagedFile> filesToStageBuilder =
ImmutableList.builder();
+ for (Map.Entry<String, RunnerApi.Environment> entry :
+ pipeline.getComponents().getEnvironmentsMap().entrySet()) {
+ for (RunnerApi.ArtifactInformation info :
entry.getValue().getDependenciesList()) {
+ if
(!BeamUrns.getUrn(RunnerApi.StandardArtifacts.Types.FILE).equals(info.getTypeUrn()))
{
+ throw new RuntimeException(
+ String.format("unsupported artifact type %s",
info.getTypeUrn()));
+ }
+ RunnerApi.ArtifactFilePayload filePayload;
+ try {
+ filePayload =
RunnerApi.ArtifactFilePayload.parseFrom(info.getTypePayload());
+ } catch (InvalidProtocolBufferException e) {
+ throw new RuntimeException("Error parsing artifact file payload.",
e);
+ }
+ if (!BeamUrns.getUrn(RunnerApi.StandardArtifacts.Roles.STAGING_TO)
+ .equals(info.getRoleUrn())) {
+ throw new RuntimeException(
+ String.format("unsupported artifact role %s",
info.getRoleUrn()));
+ }
+ RunnerApi.ArtifactStagingToRolePayload stagingPayload;
+ try {
+ stagingPayload =
RunnerApi.ArtifactStagingToRolePayload.parseFrom(info.getRolePayload());
+ } catch (InvalidProtocolBufferException e) {
+ throw new RuntimeException("Error parsing artifact staging_to role
payload.", e);
+ }
+ DataflowPackage target = new DataflowPackage();
+ target.setLocation(stagingPayload.getStagedName());
+ if (!Strings.isNullOrEmpty(stagingPayload.getAliasName())) {
+ target.setName(stagingPayload.getAliasName());
+ }
+ filesToStageBuilder.add(StagedFile.of(filePayload.getPath(), target));
+ }
+ }
+ return options.getStager().stageFiles(filesToStageBuilder.build());
+ }
+
+ private List<RunnerApi.ArtifactInformation> getDefaultArtifacts() {
+ ImmutableList.Builder<String> pathsToStageBuilder =
ImmutableList.builder();
+ ImmutableMap.Builder<String, String> aliasMapBuilder =
ImmutableMap.builder();
+ String windmillBinary =
+
options.as(DataflowPipelineDebugOptions.class).getOverrideWindmillBinary();
+ String dataflowWorkerJar = options.getDataflowWorkerJar();
+ if (dataflowWorkerJar != null && !dataflowWorkerJar.isEmpty()) {
+ // Put the user specified worker jar at the start of the classpath, to
be consistent with the
+ // built in worker order.
+ pathsToStageBuilder.add(dataflowWorkerJar);
+ aliasMapBuilder.put(dataflowWorkerJar, "dataflow-worker.jar");
+ }
+ for (String path : options.getFilesToStage()) {
+ if (path.contains("=")) {
Review comment:
Is this = support a dataflow-only thing? Seems we don't support that in
`Environments.getArtifacts()` (but if we did nearly all of this code could go
away).
##########
File path:
runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/DataflowRunner.java
##########
@@ -784,7 +877,25 @@ public DataflowPipelineJob run(Pipeline pipeline) {
"Executing pipeline on the Dataflow Service, which will have billing
implications "
+ "related to Google Compute Engine usage and other Google Cloud
Services.");
- List<DataflowPackage> packages = options.getStager().stageDefaultFiles();
+ // Capture the sdkComponents for look up during step translations
+ SdkComponents sdkComponents = SdkComponents.create();
+
+ DataflowPipelineOptions dataflowOptions =
options.as(DataflowPipelineOptions.class);
+ String workerHarnessContainerImageURL =
DataflowRunner.getContainerImageForJob(dataflowOptions);
+ RunnerApi.Environment defaultEnvironmentForDataflow =
+ Environments.createDockerEnvironment(workerHarnessContainerImageURL);
+
+ sdkComponents.registerEnvironment(
+ defaultEnvironmentForDataflow
+ .toBuilder()
+ .addAllDependencies(getDefaultArtifacts())
+ .build());
+
+ RunnerApi.Pipeline pipelineProto = PipelineTranslation.toProto(pipeline,
sdkComponents, true);
+
+ LOG.debug("Portable pipeline proto:\n{}",
TextFormat.printToString(pipelineProto));
Review comment:
This is a really big log message, even for debug. (Even computing it
could be expensive, for pipelines with 1000s of stages.)
##########
File path: sdks/python/apache_beam/runners/dataflow/dataflow_runner.py
##########
@@ -462,7 +462,8 @@ def run_pipeline(self, pipeline, options):
use_fnapi = apiclient._use_fnapi(options)
from apache_beam.transforms import environments
default_environment = environments.DockerEnvironment.from_container_image(
- apiclient.get_container_image_from_options(options))
+ apiclient.get_container_image_from_options(options),
+ artifacts=environments.python_sdk_dependencies(options))
Review comment:
Should we push populating artifacts into from_container_image?
##########
File path: sdks/python/apache_beam/runners/dataflow/dataflow_runner_test.py
##########
@@ -102,7 +102,8 @@ def setUp(self):
'--staging_location=ignored',
'--temp_location=/dev/null',
'--no_auth',
- '--dry_run=True'
+ '--dry_run=True',
+ '--sdk_location=container'
Review comment:
Why this change?
##########
File path:
runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/util/PackageUtil.java
##########
@@ -442,45 +448,56 @@ public static StagingResult uploaded(PackageAttributes
attributes) {
/** Holds the metadata necessary to stage a file or confirm that a staged
file has not changed. */
@AutoValue
abstract static class PackageAttributes {
-
- public static PackageAttributes forFileToStage(File source, String
stagingPath)
+ public static PackageAttributes forFileToStage(File file, String
stagingPath)
throws IOException {
+ return forFileToStage(file.getPath(), null, stagingPath);
+ }
+ public static PackageAttributes forFileToStage(
Review comment:
This seems highly redundant with what we're already doing in
Environments.getArtifacts. Can't we ensure we have a set of (existing,
non-directory) files in the environment, and then have these utilities simply
do the uploading?
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Issue Time Tracking
-------------------
Worklog Id: (was: 429592)
Time Spent: 6h 50m (was: 6h 40m)
> Staging Dataflow artifacts from environment
> -------------------------------------------
>
> Key: BEAM-9383
> URL: https://issues.apache.org/jira/browse/BEAM-9383
> Project: Beam
> Issue Type: Sub-task
> Components: java-fn-execution
> Reporter: Heejong Lee
> Assignee: Heejong Lee
> Priority: Major
> Time Spent: 6h 50m
> Remaining Estimate: 0h
>
> Staging Dataflow artifacts from environment
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