/*
* Copyright (C) 2019 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.v2.mongodb.templates;
import static com.google.cloud.teleport.v2.utils.KMSUtils.maybeDecrypt;
import com.google.api.services.bigquery.model.TableRow;
import com.google.api.services.bigquery.model.TableSchema;
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.v2.common.UncaughtExceptionLogger;
import com.google.cloud.teleport.v2.mongodb.options.MongoDbToBigQueryOptions.BigQueryWriteOptions;
import com.google.cloud.teleport.v2.mongodb.options.MongoDbToBigQueryOptions.JavascriptDocumentTransformerOptions;
import com.google.cloud.teleport.v2.mongodb.options.MongoDbToBigQueryOptions.MongoDbOptions;
import com.google.cloud.teleport.v2.mongodb.options.MongoDbToBigQueryOptions.PubSubOptions;
import com.google.cloud.teleport.v2.mongodb.templates.MongoDbToBigQueryCdc.Options;
import com.google.cloud.teleport.v2.options.BigQueryStorageApiStreamingOptions;
import com.google.cloud.teleport.v2.transforms.JavascriptDocumentTransformer.TransformDocumentViaJavascript;
import com.google.cloud.teleport.v2.utils.BigQueryIOUtils;
import java.io.IOException;
import javax.script.ScriptException;
import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO;
import org.apache.beam.sdk.io.gcp.pubsub.PubsubIO;
import org.apache.beam.sdk.options.Default;
import org.apache.beam.sdk.options.PipelineOptions;
import org.apache.beam.sdk.options.PipelineOptionsFactory;
import org.apache.beam.sdk.transforms.DoFn;
import org.apache.beam.sdk.transforms.ParDo;
import org.bson.Document;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* The {@link MongoDbToBigQueryCdc} pipeline is a streaming pipeline which reads data pushed to
* PubSub from MongoDB Changestream and outputs the resulting records to BigQuery.
*
* <p>Check out <a
* href="https://github.com/GoogleCloudPlatform/DataflowTemplates/blob/main/v2/mongodb-to-googlecloud/README_MongoDB_to_BigQuery_CDC.md">README</a>
* for instructions on how to use or modify this template.
*/
@Template(
name = "MongoDB_to_BigQuery_CDC",
category = TemplateCategory.STREAMING,
displayName = "MongoDB to BigQuery (CDC)",
description =
"The MongoDB to BigQuery CDC (Change Data Capture) template is a streaming pipeline that works together with MongoDB change streams. "
+ "The pipeline reads the JSON records pushed to Pub/Sub via a MongoDB change stream and writes them to BigQuery as specified by the <code>userOption</code> parameter.",
optionsClass = Options.class,
flexContainerName = "mongodb-to-bigquery-cdc",
documentation =
"https://cloud.google.com/dataflow/docs/guides/templates/provided/mongodb-change-stream-to-bigquery",
contactInformation = "https://cloud.google.com/support",
preview = true,
requirements = {
"The target BigQuery dataset must exist.",
"The source MongoDB instance must be accessible from the Dataflow worker machines.",
"The change stream pushing changes from MongoDB to Pub/Sub should be running."
},
streaming = true,
supportsAtLeastOnce = true)
public class MongoDbToBigQueryCdc {
private static final Logger LOG = LoggerFactory.getLogger(MongoDbToBigQuery.class);
/** Options interface. */
public interface Options
extends PipelineOptions,
MongoDbOptions,
PubSubOptions,
BigQueryWriteOptions,
JavascriptDocumentTransformerOptions,
BigQueryStorageApiStreamingOptions {
// Hide the UseStorageWriteApiAtLeastOnce in the UI, because it will automatically be turned
// on when pipeline is running on ALO mode and using the Storage Write API
@TemplateParameter.Boolean(
order = 1,
optional = true,
description = "Use at at-least-once semantics in BigQuery Storage Write API",
helpText =
"This parameter takes effect only if \"Use BigQuery Storage Write API\" is enabled. If"
+ " enabled the at-least-once semantics will be used for Storage Write API, otherwise"
+ " exactly-once semantics will be used.",
hiddenUi = true)
@Default.Boolean(false)
@Override
Boolean getUseStorageWriteApiAtLeastOnce();
void setUseStorageWriteApiAtLeastOnce(Boolean value);
}
/** class ParseAsDocumentsFn. */
private static class ParseAsDocumentsFn extends DoFn<String, Document> {
@ProcessElement
public void processElement(ProcessContext context) {
context.output(Document.parse(context.element()));
}
}
/**
* Main entry point for pipeline execution.
*
* @param args Command line arguments to the pipeline.
*/
public static void main(String[] args)
throws ScriptException, IOException, NoSuchMethodException {
UncaughtExceptionLogger.register();
Options options = PipelineOptionsFactory.fromArgs(args).withValidation().as(Options.class);
BigQueryIOUtils.validateBQStorageApiOptionsStreaming(options);
run(options);
}
/** Pipeline to read data from PubSub and write to MongoDB. */
public static boolean run(Options options)
throws ScriptException, IOException, NoSuchMethodException {
options.setStreaming(true);
Pipeline pipeline = Pipeline.create(options);
String userOption = options.getUserOption();
String inputOption = options.getInputTopic();
TableSchema bigquerySchema;
// Get MongoDbUri
String mongoDbUri = maybeDecrypt(options.getMongoDbUri(), options.getKMSEncryptionKey()).get();
if (options.getJavascriptDocumentTransformFunctionName() != null
&& options.getJavascriptDocumentTransformGcsPath() != null) {
bigquerySchema =
MongoDbUtils.getTableFieldSchemaForUDF(
mongoDbUri,
options.getDatabase(),
options.getCollection(),
options.getJavascriptDocumentTransformGcsPath(),
options.getJavascriptDocumentTransformFunctionName(),
options.getUserOption());
} else {
bigquerySchema =
MongoDbUtils.getTableFieldSchema(
mongoDbUri, options.getDatabase(), options.getCollection(), options.getUserOption());
}
pipeline
.apply("Read PubSub Messages", PubsubIO.readStrings().fromTopic(inputOption))
.apply(
"RTransform string to document",
ParDo.of(
new DoFn<String, Document>() {
@ProcessElement
public void process(ProcessContext c) {
Document document = Document.parse(c.element());
c.output(document);
}
}))
.apply(
"UDF",
TransformDocumentViaJavascript.newBuilder()
.setFileSystemPath(options.getJavascriptDocumentTransformGcsPath())
.setFunctionName(options.getJavascriptDocumentTransformFunctionName())
.build())
.apply(
"Read and transform data",
ParDo.of(
new DoFn<Document, TableRow>() {
@ProcessElement
public void process(ProcessContext c) {
Document document = c.element();
TableRow row = MongoDbUtils.getTableSchema(document, userOption);
c.output(row);
}
}))
.apply(
BigQueryIO.writeTableRows()
.to(options.getOutputTableSpec())
.withSchema(bigquerySchema)
.withCreateDisposition(BigQueryIO.Write.CreateDisposition.CREATE_IF_NEEDED)
.withWriteDisposition(BigQueryIO.Write.WriteDisposition.WRITE_APPEND));
pipeline.run();
return true;
}
}
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2024-03-29。"],[],[]]
