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JdbcToBigQuery.java
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JdbcToBigQuery.java
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/*
* Copyright (C) 2018 Google Inc.
*
* 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 com.google.api.services.bigquery.model.TableRow;
import com.google.cloud.teleport.io.DynamicJdbcIO;
import com.google.cloud.teleport.templates.common.JdbcConverters;
import com.google.cloud.teleport.util.KMSEncryptedNestedValueProvider;
import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.PipelineResult;
import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO;
import org.apache.beam.sdk.io.gcp.bigquery.TableRowJsonCoder;
import org.apache.beam.sdk.options.PipelineOptionsFactory;
import org.apache.beam.sdk.options.ValueProvider;
/**
* A template that copies data from a relational database using JDBC to an existing BigQuery table.
*/
public class JdbcToBigQuery {
private static ValueProvider<String> maybeDecrypt(
ValueProvider<String> unencryptedValue, ValueProvider<String> kmsKey) {
return new KMSEncryptedNestedValueProvider(unencryptedValue, kmsKey);
}
/**
* Main entry point for executing the pipeline. This will run the pipeline asynchronously. If
* blocking execution is required, use the {@link
* JdbcToBigQuery#run(JdbcConverters.JdbcToBigQueryOptions)} method to start the pipeline and
* invoke {@code result.waitUntilFinish()} on the {@link PipelineResult}
*
* @param args The command-line arguments to the pipeline.
*/
public static void main(String[] args) {
// Parse the user options passed from the command-line
JdbcConverters.JdbcToBigQueryOptions options =
PipelineOptionsFactory.fromArgs(args)
.withValidation()
.as(JdbcConverters.JdbcToBigQueryOptions.class);
run(options);
}
/**
* Runs the pipeline with the supplied options.
*
* @param options The execution parameters to the pipeline.
* @return The result of the pipeline execution.
*/
private static PipelineResult run(JdbcConverters.JdbcToBigQueryOptions options) {
// Create the pipeline
Pipeline pipeline = Pipeline.create(options);
/*
* Steps: 1) Read records via JDBC and convert to TableRow via RowMapper
* 2) Append TableRow to BigQuery via BigQueryIO
*/
pipeline
/*
* Step 1: Read records via JDBC and convert to TableRow
* via {@link org.apache.beam.sdk.io.jdbc.JdbcIO.RowMapper}
*/
.apply(
"Read from JdbcIO",
DynamicJdbcIO.<TableRow>read()
.withDataSourceConfiguration(
DynamicJdbcIO.DynamicDataSourceConfiguration.create(
options.getDriverClassName(),
maybeDecrypt(options.getConnectionURL(), options.getKMSEncryptionKey()))
.withUsername(
maybeDecrypt(options.getUsername(), options.getKMSEncryptionKey()))
.withPassword(
maybeDecrypt(options.getPassword(), options.getKMSEncryptionKey()))
.withDriverJars(options.getDriverJars())
.withConnectionProperties(options.getConnectionProperties()))
.withQuery(options.getQuery())
.withCoder(TableRowJsonCoder.of())
.withRowMapper(JdbcConverters.getResultSetToTableRow()))
/*
* Step 2: Append TableRow to an existing BigQuery table
*/
.apply(
"Write to BigQuery",
BigQueryIO.writeTableRows()
.withoutValidation()
.withCreateDisposition(BigQueryIO.Write.CreateDisposition.CREATE_NEVER)
.withWriteDisposition(BigQueryIO.Write.WriteDisposition.WRITE_APPEND)
.withCustomGcsTempLocation(options.getBigQueryLoadingTemporaryDirectory())
.to(options.getOutputTable()));
// Execute the pipeline and return the result.
return pipeline.run();
}
}