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/*-
* -\-\-
* DBeam Core
* --
* Copyright (C) 2016 - 2018 Spotify AB
* --
* 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.spotify.dbeam.jobs;
import com.google.common.base.Preconditions;
import com.spotify.dbeam.args.JdbcExportArgs;
import com.spotify.dbeam.avro.BeamJdbcAvroSchema;
import com.spotify.dbeam.avro.JdbcAvroIO;
import com.spotify.dbeam.beam.BeamHelper;
import com.spotify.dbeam.beam.MetricsHelper;
import com.spotify.dbeam.options.DBeamPipelineOptions;
import com.spotify.dbeam.options.JdbcExportArgsFactory;
import com.spotify.dbeam.options.JdbcExportPipelineOptions;
import com.spotify.dbeam.options.JobNameConfiguration;
import com.spotify.dbeam.options.OutputOptions;
import java.io.IOException;
import java.sql.Connection;
import java.util.List;
import org.apache.avro.Schema;
import org.apache.beam.runners.direct.DirectOptions;
import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.PipelineResult;
import org.apache.beam.sdk.options.PipelineOptions;
import org.apache.beam.sdk.options.PipelineOptionsFactory;
import org.apache.beam.sdk.transforms.Create;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
public class JdbcAvroJob {
private static Logger LOGGER = LoggerFactory.getLogger(JdbcAvroJob.class);
private final PipelineOptions pipelineOptions;
private final Pipeline pipeline;
private final JdbcExportArgs jdbcExportArgs;
private final String output;
private final boolean dataOnly;
public JdbcAvroJob(
final PipelineOptions pipelineOptions,
final Pipeline pipeline,
final JdbcExportArgs jdbcExportArgs,
final String output,
final boolean dataOnly) {
this.pipelineOptions = pipelineOptions;
this.pipeline = pipeline;
this.jdbcExportArgs = jdbcExportArgs;
this.output = output;
this.dataOnly = dataOnly;
Preconditions.checkArgument(
this.output != null && this.output.length() > 0, "'output' must be defined");
}
public static JdbcAvroJob create(final PipelineOptions pipelineOptions, final String output)
throws IOException, ClassNotFoundException {
// make sure pipeline.run() does not call waitUntilFinish
// instead we call with an explicit duration/exportTimeout configuration
pipelineOptions.as(DirectOptions.class).setBlockOnRun(false);
return new JdbcAvroJob(
pipelineOptions,
Pipeline.create(pipelineOptions),
JdbcExportArgsFactory.fromPipelineOptions(pipelineOptions),
output,
pipelineOptions.as(OutputOptions.class).getDataOnly());
}
public static JdbcAvroJob create(final PipelineOptions pipelineOptions)
throws IOException, ClassNotFoundException {
return create(pipelineOptions, pipelineOptions.as(OutputOptions.class).getOutput());
}
public static JdbcAvroJob create(final String[] cmdLineArgs)
throws IOException, ClassNotFoundException {
return create(buildPipelineOptions(cmdLineArgs));
}
public static PipelineOptions buildPipelineOptions(final String[] cmdLineArgs) {
PipelineOptionsFactory.register(JdbcExportPipelineOptions.class);
PipelineOptionsFactory.register(OutputOptions.class);
return PipelineOptionsFactory.fromArgs(cmdLineArgs).withValidation().create();
}
public void prepareExport() throws Exception {
LOGGER.info(
"{} {} version {}",
this.getClass().getPackage().getImplementationTitle(),
this.getClass().getSimpleName(),
this.getClass().getPackage().getImplementationVersion());
final List queries;
final Schema generatedSchema;
try (Connection connection = jdbcExportArgs.createConnection()) {
generatedSchema = createSchema(connection);
queries = jdbcExportArgs.queryBuilderArgs().buildQueries(connection);
final String tableName = pipelineOptions.as(DBeamPipelineOptions.class).getTable();
JobNameConfiguration.configureJobName(
pipeline.getOptions(), connection.getCatalog(), tableName);
}
if (!this.dataOnly) {
BeamHelper.saveStringOnSubPath(output, "/_AVRO_SCHEMA.avsc", generatedSchema.toString(true));
for (int i = 0; i < queries.size(); i++) {
BeamHelper.saveStringOnSubPath(
this.output, String.format("/_queries/query_%d.sql", i), queries.get(i));
}
}
LOGGER.info("Running queries: {}", queries.toString());
pipeline
.apply("JdbcQueries", Create.of(queries))
.apply(
"JdbcAvroSave",
JdbcAvroIO.createWrite(
output, ".avro", generatedSchema, jdbcExportArgs.jdbcAvroOptions()));
}
private Schema createSchema(final Connection connection) throws Exception {
if (this.jdbcExportArgs.inputAvroSchema().isPresent()) {
return this.jdbcExportArgs.inputAvroSchema().get();
} else {
return BeamJdbcAvroSchema.createSchema(this.pipeline, jdbcExportArgs, connection);
}
}
public Pipeline getPipeline() {
return pipeline;
}
public JdbcExportArgs getJdbcExportArgs() {
return jdbcExportArgs;
}
public String getOutput() {
return output;
}
public PipelineOptions getPipelineOptions() {
return pipelineOptions;
}
public PipelineResult runAndWait() {
return BeamHelper.waitUntilDone(this.pipeline.run(), jdbcExportArgs.exportTimeout());
}
public PipelineResult runExport() throws Exception {
prepareExport();
final PipelineResult pipelineResult = runAndWait();
if (!this.dataOnly) {
BeamHelper.saveMetrics(MetricsHelper.getMetrics(pipelineResult), output);
}
return pipelineResult;
}
public static void main(String[] cmdLineArgs) {
try {
JdbcAvroJob.create(cmdLineArgs).runExport();
} catch (Exception e) {
ExceptionHandling.handleException(e);
}
}
}
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