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O modelo do Pub/Sub para Pub/Sub é um pipeline de streaming que lê
mensagens de uma assinatura do Pub/Sub e grava as mensagens em outro tópico
do Pub/Sub. O pipeline também aceita uma chave de atributo de mensagem opcional e um valor que pode ser usado
para filtrar as mensagens que precisam ser gravadas no tópico do Pub/Sub. Use esse modelo
para copiar mensagens de uma assinatura do Pub/Sub para outro tópico do Pub/Sub
com um filtro de mensagem opcional.
Requisitos de pipeline
A inscrição do Pub/Sub de origem precisa ser criada antes da execução.
o nome da versão, como 2023-09-12-00_RC00, para usar uma versão específica do
modelo, que pode ser aninhada na respectiva pasta mãe datada no bucket:
gs://dataflow-templates-REGION_NAME/
STAGING_LOCATION: o local para fase de testes de arquivos locais (por exemplo, gs://your-bucket/staging)
SUBSCRIPTION_NAME: o nome da assinatura
do Pub/Sub
TOPIC_NAME: o nome do tópico do Pub/Sub
FILTER_KEY: a chave de atributo que servirá para filtrar os eventos. Nenhum filtro será aplicado se nenhuma chave for especificada
FILTER_VALUE: valor do atributo de filtro a ser usado se uma chave de filtro de eventos for fornecida.
Aceita uma string Java Regex válida como um valor de filtro de eventos. Se uma regex for fornecida,
a expressão completa deverá corresponder para que a mensagem seja filtrada. Correspondências parciais
(como substrings) não são filtradas. Um valor de filtro de evento nulo é usado por padrão.
API
Para executar o modelo usando a API REST, envie uma solicitação HTTP POST. Para mais informações sobre a
API e os respectivos escopos de autorização, consulte
projects.templates.launch.
o nome da versão, como 2023-09-12-00_RC00, para usar uma versão específica do
modelo, que pode ser aninhada na respectiva pasta mãe datada no bucket:
gs://dataflow-templates-REGION_NAME/
STAGING_LOCATION: o local para fase de testes de arquivos locais (por exemplo, gs://your-bucket/staging)
SUBSCRIPTION_NAME: o nome da assinatura
do Pub/Sub
TOPIC_NAME: o nome do tópico do Pub/Sub
FILTER_KEY: a chave de atributo que servirá para filtrar os eventos. Nenhum filtro será aplicado se nenhuma chave for especificada
FILTER_VALUE: valor do atributo de filtro a ser usado se uma chave de filtro de eventos for fornecida.
Aceita uma string Java Regex válida como um valor de filtro de eventos. Se uma regex for fornecida,
a expressão completa deverá corresponder para que a mensagem seja filtrada. Correspondências parciais
(como substrings) não são filtradas. Um valor de filtro de evento nulo é usado por padrão.
Código-fonte do modelo
Java
/*
* Copyright (C) 2018 Google LLC
*
* Licensed 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 com.google.cloud.teleport.templates;
import static com.google.common.base.Preconditions.checkNotNull;
import static org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Preconditions.checkArgument;
import com.google.auto.value.AutoValue;
import com.google.cloud.teleport.metadata.Template;
import com.google.cloud.teleport.metadata.TemplateCategory;
import com.google.cloud.teleport.metadata.TemplateParameter;
import com.google.cloud.teleport.templates.PubsubToPubsub.Options;
import java.util.regex.Pattern;
import java.util.regex.PatternSyntaxException;
import javax.annotation.Nullable;
import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.PipelineResult;
import org.apache.beam.sdk.io.gcp.pubsub.PubsubIO;
import org.apache.beam.sdk.io.gcp.pubsub.PubsubMessage;
import org.apache.beam.sdk.metrics.Counter;
import org.apache.beam.sdk.metrics.Metrics;
import org.apache.beam.sdk.options.PipelineOptions;
import org.apache.beam.sdk.options.PipelineOptionsFactory;
import org.apache.beam.sdk.options.StreamingOptions;
import org.apache.beam.sdk.options.Validation;
import org.apache.beam.sdk.options.ValueProvider;
import org.apache.beam.sdk.transforms.DoFn;
import org.apache.beam.sdk.transforms.ParDo;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* A template that copies messages from one Pubsub subscription to another Pubsub topic. Allows
* filtering specific messages.
*
* <p>Check out <a
* href="https://github.com/GoogleCloudPlatform/DataflowTemplates/blob/main/v1/README_Cloud_PubSub_to_Cloud_PubSub.md">README</a>
* for instructions on how to use or modify this template.
*/
@Template(
name = "Cloud_PubSub_to_Cloud_PubSub",
category = TemplateCategory.STREAMING,
displayName = "Pub/Sub to Pub/Sub",
description =
"The Pub/Sub to Pub/Sub template is a streaming pipeline that reads messages from a Pub/Sub subscription and "
+ "writes the messages to another Pub/Sub topic. The pipeline also accepts an optional message attribute key and a value that can be used to filter the messages that should be written to the Pub/Sub topic. You can use this template to copy messages from a Pub/Sub subscription to another Pub/Sub topic with an optional message filter.",
optionsClass = Options.class,
documentation =
"https://cloud.google.com/dataflow/docs/guides/templates/provided/pubsub-to-pubsub",
contactInformation = "https://cloud.google.com/support",
requirements = {
"The source Pub/Sub subscription must exist prior to execution.",
"The source Pub/Sub subscription must be a <a href=\"https://cloud.google.com/pubsub/docs/pull\">pull subscription</a>.",
"The destination Pub/Sub topic must exist prior to execution."
},
streaming = true,
supportsAtLeastOnce = true,
supportsExactlyOnce = true)
public class PubsubToPubsub {
/**
* Main entry point for executing the pipeline.
*
* @param args The command-line arguments to the pipeline.
*/
public static void main(String[] args) {
// Parse the user options passed from the command-line
Options options = PipelineOptionsFactory.fromArgs(args).withValidation().as(Options.class);
options.setStreaming(true);
run(options);
}
/**
* Runs the pipeline with the supplied options.
*
* @param options The execution parameters to the pipeline.
* @return The result of the pipeline execution.
*/
public static PipelineResult run(Options options) {
// Create the pipeline
Pipeline pipeline = Pipeline.create(options);
/*
Steps:
<p>1) Read PubSubMessage with attributes from input PubSub subscription.
<p>2) Apply any filters if an attribute=value pair is provided.
<p>3) Write each PubSubMessage to output PubSub topic.
*/
pipeline
.apply(
"Read PubSub Events",
PubsubIO.readMessagesWithAttributes().fromSubscription(options.getInputSubscription()))
.apply(
"Filter Events If Enabled",
ParDo.of(
ExtractAndFilterEventsFn.newBuilder()
.withFilterKey(options.getFilterKey())
.withFilterValue(options.getFilterValue())
.build()))
.apply("Write PubSub Events", PubsubIO.writeMessages().to(options.getOutputTopic()));
// Execute the pipeline and return the result.
return pipeline.run();
}
/**
* Options supported by {@link PubsubToPubsub}.
*
* <p>Inherits standard configuration options.
*/
public interface Options extends PipelineOptions, StreamingOptions {
@TemplateParameter.PubsubSubscription(
order = 1,
description = "Pub/Sub input subscription",
helpText =
"Pub/Sub subscription to read the input from, in the format of 'projects/your-project-id/subscriptions/your-subscription-name'",
example = "projects/your-project-id/subscriptions/your-subscription-name")
@Validation.Required
ValueProvider<String> getInputSubscription();
void setInputSubscription(ValueProvider<String> inputSubscription);
@TemplateParameter.PubsubTopic(
order = 2,
description = "Output Pub/Sub topic",
helpText =
"The name of the topic to which data should published, in the format of 'projects/your-project-id/topics/your-topic-name'",
example = "projects/your-project-id/topics/your-topic-name")
@Validation.Required
ValueProvider<String> getOutputTopic();
void setOutputTopic(ValueProvider<String> outputTopic);
@TemplateParameter.Text(
order = 3,
optional = true,
description = "Event filter key",
helpText =
"Attribute key by which events are filtered. No filters are applied if no key is specified.")
ValueProvider<String> getFilterKey();
void setFilterKey(ValueProvider<String> filterKey);
@TemplateParameter.Text(
order = 4,
optional = true,
description = "Event filter value",
helpText =
"Filter attribute value to use if an event filter key is provided. Accepts a valid "
+ "Java Regex string as an event filter value. In case a regex is provided, the complete "
+ "expression should match in order for the message to be filtered. Partial matches (e.g. "
+ "substring) will not be filtered. A null event filter value is used by default.")
ValueProvider<String> getFilterValue();
void setFilterValue(ValueProvider<String> filterValue);
}
/**
* DoFn that will determine if events are to be filtered. If filtering is enabled, it will only
* publish events that pass the filter else, it will publish all input events.
*/
@AutoValue
public abstract static class ExtractAndFilterEventsFn extends DoFn<PubsubMessage, PubsubMessage> {
private static final Logger LOG = LoggerFactory.getLogger(ExtractAndFilterEventsFn.class);
// Counter tracking the number of incoming Pub/Sub messages.
private static final Counter INPUT_COUNTER =
Metrics.counter(ExtractAndFilterEventsFn.class, "inbound-messages");
// Counter tracking the number of output Pub/Sub messages after the user provided filter
// is applied.
private static final Counter OUTPUT_COUNTER =
Metrics.counter(ExtractAndFilterEventsFn.class, "filtered-outbound-messages");
private Boolean doFilter;
private String inputFilterKey;
private Pattern inputFilterValueRegex;
private Boolean isNullFilterValue;
public static Builder newBuilder() {
return new AutoValue_PubsubToPubsub_ExtractAndFilterEventsFn.Builder();
}
@Nullable
abstract ValueProvider<String> filterKey();
@Nullable
abstract ValueProvider<String> filterValue();
@Setup
public void setup() {
if (this.doFilter != null) {
return; // Filter has been evaluated already
}
inputFilterKey = (filterKey() == null ? null : filterKey().get());
if (inputFilterKey == null) {
// Disable input message filtering.
this.doFilter = false;
} else {
this.doFilter = true; // Enable filtering.
String inputFilterValue = (filterValue() == null ? null : filterValue().get());
if (inputFilterValue == null) {
LOG.warn(
"User provided a NULL for filterValue. Only messages with a value of NULL for the"
+ " filterKey: {} will be filtered forward",
inputFilterKey);
// For backward compatibility, we are allowing filtering by null filterValue.
this.isNullFilterValue = true;
this.inputFilterValueRegex = null;
} else {
this.isNullFilterValue = false;
try {
inputFilterValueRegex = getFilterPattern(inputFilterValue);
} catch (PatternSyntaxException e) {
LOG.error("Invalid regex pattern for supplied filterValue: {}", inputFilterValue);
throw new RuntimeException(e);
}
}
LOG.info(
"Enabling event filter [key: " + inputFilterKey + "][value: " + inputFilterValue + "]");
}
}
@ProcessElement
public void processElement(ProcessContext context) {
INPUT_COUNTER.inc();
if (!this.doFilter) {
// Filter is not enabled
writeOutput(context, context.element());
} else {
PubsubMessage message = context.element();
String extractedValue = message.getAttribute(this.inputFilterKey);
if (this.isNullFilterValue) {
if (extractedValue == null) {
// If we are filtering for null and the extracted value is null, we forward
// the message.
writeOutput(context, message);
}
} else {
if (extractedValue != null
&& this.inputFilterValueRegex.matcher(extractedValue).matches()) {
// If the extracted value is not null and it matches the filter,
// we forward the message.
writeOutput(context, message);
}
}
}
}
/**
* Write a {@link PubsubMessage} and increment the output counter.
*
* @param context {@link ProcessContext} to write {@link PubsubMessage} to.
* @param message {@link PubsubMessage} output.
*/
private void writeOutput(ProcessContext context, PubsubMessage message) {
OUTPUT_COUNTER.inc();
context.output(message);
}
/**
* Return a {@link Pattern} based on a user provided regex string.
*
* @param regex Regex string to compile.
* @return {@link Pattern}
* @throws PatternSyntaxException If the string is an invalid regex.
*/
private Pattern getFilterPattern(String regex) throws PatternSyntaxException {
checkNotNull(regex, "Filter regex cannot be null.");
return Pattern.compile(regex);
}
/** Builder class for {@link ExtractAndFilterEventsFn}. */
@AutoValue.Builder
abstract static class Builder {
abstract Builder setFilterKey(ValueProvider<String> filterKey);
abstract Builder setFilterValue(ValueProvider<String> filterValue);
abstract ExtractAndFilterEventsFn build();
/**
* Method to set the filterKey used for filtering messages.
*
* @param filterKey Lookup key for the {@link PubsubMessage} attribute map.
* @return {@link Builder}
*/
public Builder withFilterKey(ValueProvider<String> filterKey) {
checkArgument(filterKey != null, "withFilterKey(filterKey) called with null input.");
return setFilterKey(filterKey);
}
/**
* Method to set the filterValue used for filtering messages.
*
* @param filterValue Lookup value for the {@link PubsubMessage} attribute map.
* @return {@link Builder}
*/
public Builder withFilterValue(ValueProvider<String> filterValue) {
checkArgument(filterValue != null, "withFilterValue(filterValue) called with null input.");
return setFilterValue(filterValue);
}
}
}
}
