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Add Java BigTable Read with row filter pipeline example #54

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139 changes: 139 additions & 0 deletions Java/src/main/java/bigtable/ReadWithRowFilterBigTable.java
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/*
* Copyright 2024 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
*
* https://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 bigtable;

import java.nio.charset.StandardCharsets;
import java.util.Objects;

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.bigtable.v2.RowFilter;
import com.google.protobuf.ByteString;
import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.io.gcp.bigtable.BigtableIO;
import org.apache.beam.sdk.io.range.ByteKey;
import org.apache.beam.sdk.io.range.ByteKeyRange;
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.Validation;
import org.apache.beam.sdk.transforms.DoFn;
import org.apache.beam.sdk.transforms.ParDo;
import org.joda.time.Instant;
import org.joda.time.format.DateTimeFormat;
import org.joda.time.format.DateTimeFormatter;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
* Pipeline for reading data from Google Cloud Bigtable with row filtering and key range
* specification. The pipeline uses the {@code BigtableIO.read()} transform to read rows from a
* specified table in a Cloud Bigtable instance, applying a custom row filter based on a regular
* expression to selectively exclude rows. The {@code withKeyRange()} method is used to limit the
* scope of keys read from the Cloud Bigtable table, allowing for more targeted data retrieval.
*/
public class ReadWithRowFilterBigTable {

private static final Logger LOG = LoggerFactory.getLogger(ReadWithRowFilterBigTable.class);
private static final String DATE_TIME_PATTERN = "yyyy/MM/dd HH:mm:ss";
private static final String EXAMPLE_REGEX = ".*a.*";
private static final String START_KEY = "beam_key0000001";
private static final String END_KEY = "beam_key0000004";

/** Pipeline options for read from BigTable. */
public interface ReadBigTableOptions extends PipelineOptions {
@Description("Project ID")
@Validation.Required
String getProjectId();

void setProjectId(String projectId);

@Description("Cloud Bigtable instance ID")
@Validation.Required
String getInstanceId();

void setInstanceId(String instanceId);

@Description("Cloud Bigtable table ID")
@Validation.Required
String getTableId();

void setTableId(String tableId);
}

public static void main(String[] args) {
ReadBigTableOptions options =
PipelineOptionsFactory.fromArgs(args).withValidation().as(ReadBigTableOptions.class);

Pipeline p = Pipeline.create(options);

RowFilter rowFilter =
RowFilter.newBuilder().setValueRegexFilter(ByteString.copyFromUtf8(EXAMPLE_REGEX)).build();

ByteKey startKey = ByteKey.copyFrom(START_KEY.getBytes(StandardCharsets.UTF_8));
ByteKey endKey = ByteKey.copyFrom(END_KEY.getBytes(StandardCharsets.UTF_8));
final ByteKeyRange keyRange = ByteKeyRange.of(startKey, endKey);

p.apply(
"Read from BigTable",
BigtableIO.read()
.withProjectId(options.getProjectId())
.withInstanceId(options.getInstanceId())
.withTableId(options.getTableId())
.withRowFilter(rowFilter)
.withKeyRange(keyRange))
.apply("Log Data", ParDo.of(new FormatDoFn()));
p.run();
}

/**
* Custom {@link DoFn} designed to format a BigTable {@link Row} into a human-readable string
* representation for logging or output.
*/
private static class FormatDoFn extends DoFn<Row, String> {
@DoFn.ProcessElement
public void processElement(ProcessContext c) {
Row row = Objects.requireNonNull(c.element());
DateTimeFormatter format = DateTimeFormat.forPattern(DATE_TIME_PATTERN);
StringBuilder rowString = new StringBuilder("Row: " + row.getKey().toStringUtf8());

for (Family family : row.getFamiliesList()) {
StringBuilder familyString =
new StringBuilder("\t Family: ").append(family.getName());
for (Column column : family.getColumnsList()) {
StringBuilder columnString =
new StringBuilder("\t\t Column: ").append(column.getQualifier().toStringUtf8());
for (Cell cell : column.getCellsList()) {
String timestamp =
Instant.ofEpochMilli(cell.getTimestampMicros() / 1000).toString(format);
columnString
.append("\n")
.append("\t\t\t Cell: ")
.append(cell.getValue().toStringUtf8())
.append(" at ")
.append(timestamp);
}
familyString.append("\n").append(columnString);
}
rowString.append("\n").append(familyString);
}
LOG.info(rowString.toString());
c.output(rowString.toString());
}
}
}
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