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BigtableToAvro.java
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BigtableToAvro.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.bigtable;
import com.google.bigtable.v2.Cell;
import com.google.bigtable.v2.Column;
import com.google.bigtable.v2.Family;
import com.google.bigtable.v2.Row;
import com.google.protobuf.ByteOutput;
import com.google.protobuf.ByteString;
import com.google.protobuf.UnsafeByteOperations;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.util.ArrayList;
import java.util.List;
import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.PipelineResult;
import org.apache.beam.sdk.io.AvroIO;
import org.apache.beam.sdk.io.gcp.bigtable.BigtableIO;
import org.apache.beam.sdk.options.Default;
import org.apache.beam.sdk.options.Description;
import org.apache.beam.sdk.options.PipelineOptions;
import org.apache.beam.sdk.options.PipelineOptionsFactory;
import org.apache.beam.sdk.options.ValueProvider;
import org.apache.beam.sdk.transforms.MapElements;
import org.apache.beam.sdk.transforms.SimpleFunction;
/**
* Dataflow pipeline that exports data from a Cloud Bigtable table to Avro files in GCS. Currently,
* filtering on Cloud Bigtable table is not supported.
*/
public class BigtableToAvro {
/** Options for the export pipeline. */
public interface Options extends PipelineOptions {
@Description("The project that contains the table to export.")
ValueProvider<String> getBigtableProjectId();
@SuppressWarnings("unused")
void setBigtableProjectId(ValueProvider<String> projectId);
@Description("The Bigtable instance id that contains the table to export.")
ValueProvider<String> getBigtableInstanceId();
@SuppressWarnings("unused")
void setBigtableInstanceId(ValueProvider<String> instanceId);
@Description("The Bigtable table id to export.")
ValueProvider<String> getBigtableTableId();
@SuppressWarnings("unused")
void setBigtableTableId(ValueProvider<String> tableId);
@Description(
"The output location to write to (e.g. gs://mybucket/somefolder/table1, "
+ "where 'table1' is the prefix of the Avro files.)")
ValueProvider<String> getOutputDirectory();
@SuppressWarnings("unused")
void setOutputDirectory(ValueProvider<String> outputDirectory);
@Description("Wait for pipeline to finish.")
@Default.Boolean(true)
boolean getWaitUntilFinish();
@SuppressWarnings("unused")
void setWaitUntilFinish(boolean value);
@Description("Whether to validate input fields.")
@Default.Boolean(true)
boolean getValidateInput();
@SuppressWarnings("unused")
void setValidateInput(boolean value);
}
/**
* Runs a pipeline to export data from a Cloud Bigtable table to Avro files in GCS.
*
* @param args arguments to the pipeline
*/
public static void main(String[] args) {
Options options = PipelineOptionsFactory.fromArgs(args).withValidation().as(Options.class);
PipelineResult result = run(options);
if (options.getWaitUntilFinish()) {
result.waitUntilFinish();
}
}
public static PipelineResult run(Options options) {
Pipeline pipeline = Pipeline.create(options);
BigtableIO.Read read =
BigtableIO.read()
.withProjectId(options.getBigtableProjectId())
.withInstanceId(options.getBigtableInstanceId())
.withTableId(options.getBigtableTableId());
if (!options.getValidateInput()) {
read = read.withoutValidation();
}
pipeline
.apply("Read from Bigtable", read)
.apply("Transform to Avro", MapElements.via(new BigtableToAvroFn()))
.apply(
"Write to Avro in GCS",
AvroIO.write(BigtableRow.class).to(options.getOutputDirectory()).withSuffix(".avro"));
return pipeline.run();
}
/** Translates Bigtable {@link Row} to Avro {@link BigtableRow}. */
static class BigtableToAvroFn extends SimpleFunction<Row, BigtableRow> {
@Override
public BigtableRow apply(Row row) {
ByteBuffer key = ByteBuffer.wrap(toByteArray(row.getKey()));
List<BigtableCell> cells = new ArrayList<>();
for (Family family : row.getFamiliesList()) {
String familyName = family.getName();
for (Column column : family.getColumnsList()) {
ByteBuffer qualifier = ByteBuffer.wrap(toByteArray(column.getQualifier()));
for (Cell cell : column.getCellsList()) {
long timestamp = cell.getTimestampMicros();
ByteBuffer value = ByteBuffer.wrap(toByteArray(cell.getValue()));
cells.add(new BigtableCell(familyName, qualifier, timestamp, value));
}
}
}
return new BigtableRow(key, cells);
}
}
/**
* Extracts the byte array from the given {@link ByteString} without copy.
*
* @param byteString A {@link ByteString} from which to extract the array.
* @return an array of byte.
*/
private static byte[] toByteArray(final ByteString byteString) {
try {
ZeroCopyByteOutput byteOutput = new ZeroCopyByteOutput();
UnsafeByteOperations.unsafeWriteTo(byteString, byteOutput);
return byteOutput.bytes;
} catch (IOException e) {
return byteString.toByteArray();
}
}
private static final class ZeroCopyByteOutput extends ByteOutput {
private byte[] bytes;
@Override
public void writeLazy(byte[] value, int offset, int length) {
if (offset != 0 || length != value.length) {
throw new UnsupportedOperationException();
}
bytes = value;
}
@Override
public void write(byte value) {
throw new UnsupportedOperationException();
}
@Override
public void write(byte[] value, int offset, int length) {
throw new UnsupportedOperationException();
}
@Override
public void write(ByteBuffer value) {
throw new UnsupportedOperationException();
}
@Override
public void writeLazy(ByteBuffer value) {
throw new UnsupportedOperationException();
}
}
}