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https://issues.apache.org/jira/browse/BEAM-4432?focusedWorklogId=115943&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-115943
]
ASF GitHub Bot logged work on BEAM-4432:
----------------------------------------
Author: ASF GitHub Bot
Created on: 26/Jun/18 12:37
Start Date: 26/Jun/18 12:37
Worklog Time Spent: 10m
Work Description: iemejia commented on a change in pull request #5519:
[BEAM-4432] Adding Sources to produce Synthetic output for Batch pipelines
URL: https://github.com/apache/beam/pull/5519#discussion_r198084851
##########
File path:
sdks/java/io/common/src/main/java/org/apache/beam/sdk/io/common/synthetic/SyntheticBoundedInput.java
##########
@@ -0,0 +1,452 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you 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 org.apache.beam.sdk.io.common.synthetic;
+
+import static com.google.common.base.Preconditions.checkArgument;
+import static com.google.common.base.Preconditions.checkNotNull;
+import static org.apache.commons.math3.stat.StatUtils.sum;
+
+import com.fasterxml.jackson.annotation.JsonProperty;
+import com.fasterxml.jackson.databind.annotation.JsonDeserialize;
+import com.google.common.base.MoreObjects;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.NoSuchElementException;
+import java.util.Random;
+import org.apache.beam.sdk.coders.ByteArrayCoder;
+import org.apache.beam.sdk.coders.Coder;
+import org.apache.beam.sdk.coders.KvCoder;
+import org.apache.beam.sdk.io.OffsetBasedSource;
+import org.apache.beam.sdk.io.Read;
+import org.apache.beam.sdk.options.PipelineOptions;
+import org.apache.beam.sdk.values.KV;
+import org.apache.beam.sdk.values.PCollection;
+import org.apache.commons.math3.distribution.ConstantRealDistribution;
+import org.joda.time.Duration;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+/**
+ * This {@link SyntheticBoundedInput} class provides a parameterizable batch
custom source that is
+ * deterministic.
+ *
+ * <p>The {@link SyntheticBoundedSource} generates a {@link PCollection} of
+ * {@code KV<byte[], byte[]>}. A fraction of the generated records {@code
KV<byte[], byte[]>} are
+ * associated with "hot" keys, which are uniformly distributed over a fixed
number of hot keys.
+ * The remaining generated records are associated with "random" keys.
+ * Each record will be slowed down by a certain sleep time generated based on
the specified sleep
+ * time distribution when the {@link SyntheticSourceReader} reads each record.
+ * The record {@code KV<byte[], byte[]>} is generated deterministically based
on the record's
+ * position in the source, which enables repeatable execution for debugging.
+ * The SyntheticBoundedInput configurable parameters are defined in {@link
+ * SyntheticBoundedInput.SourceOptions}.
+ *
+ * <p>To read a {@link PCollection} of {@code KV<byte[], byte[]>} from {@link
+ * SyntheticBoundedInput}, use {@link SyntheticBoundedInput#readFrom} to
construct the synthetic
+ * source with synthetic source options.
+ * See {@link SyntheticBoundedInput.SourceOptions} for how to construct an
instance.
+ * An example is below:
+ * <pre> {@code
+ * Pipeline p = ...;
+ * SyntheticBoundedInput.SourceOptions sso = ...;
+ *
+ * // Construct the synthetic input with synthetic source options.
+ * PCollection<KV<byte[], byte[]>> input =
p.apply(SyntheticBoundedInput.readFrom(sso));
+ * } </pre>
+ */
+public class SyntheticBoundedInput {
+ /**
+ * Read from the synthetic source options.
+ */
+ public static Read.Bounded<KV<byte[], byte[]>> readFrom(SourceOptions
options) {
+ checkNotNull(options, "Input synthetic source options should not be
null.");
+ options.validate();
+ return Read.from(new SyntheticBoundedSource(options));
+ }
+
+ /**
+ * A {@link SyntheticBoundedSource} that reads {@code KV<byte[], byte[]>}.
+ */
+ public static class SyntheticBoundedSource extends
OffsetBasedSource<KV<byte[], byte[]>> {
+ private static final long serialVersionUID = 0;
+ private static final Logger LOG =
LoggerFactory.getLogger(SyntheticBoundedSource.class);
+
+ private final SourceOptions sourceOptions;
+
+ public SyntheticBoundedSource(SourceOptions sourceOptions) {
+ this(0, sourceOptions.numRecords, sourceOptions);
+ }
+
+ public SyntheticBoundedSource(long startOffset, long endOffset,
SourceOptions sourceOptions) {
+ super(startOffset, endOffset, 1);
+ this.sourceOptions = sourceOptions;
+ LOG.debug("Constructing {}", toString());
+ }
+
+ @Override
+ public Coder<KV<byte[], byte[]>> getDefaultOutputCoder() {
+ return KvCoder.of(ByteArrayCoder.of(), ByteArrayCoder.of());
+ }
+
+ @Override
+ // TODO: test cases where the source size could not be estimated (i.e.,
return 0).
+ // TODO: test cases where the key size and value size might differ from
record to record.
+ // The key size and value size might have their own distributions.
+ public long getBytesPerOffset() {
+ return sourceOptions.bytesPerRecord >= 0
+ ? sourceOptions.bytesPerRecord
+ : sourceOptions.keySizeBytes + sourceOptions.valueSizeBytes;
+ }
+
+ @Override
+ public void validate() {
+ super.validate();
+ sourceOptions.validate();
+ }
+
+ @Override
+ public String toString() {
+ return MoreObjects.toStringHelper(this)
+ .add("options", sourceOptions)
+ .add("indexRange", "[" + getStartOffset() + ", " + getEndOffset() +
")")
+ .toString();
+ }
+
+ @Override
+ public final SyntheticBoundedSource createSourceForSubrange(long start,
long end) {
+ checkArgument(
+ start >= getStartOffset(),
+ "Start offset value " + start
+ + " of the subrange cannot be smaller than the start offset
value " + getStartOffset()
+ + " of the parent source");
+ checkArgument(
+ end <= getEndOffset(),
+ "End offset value " + end + " of the subrange cannot be larger than
the end offset value "
+ + getEndOffset() + " of the parent source");
+
+ return new SyntheticBoundedSource(start, end, sourceOptions);
+ }
+
+ @Override
+ public long getMaxEndOffset(PipelineOptions options) {
+ return getEndOffset();
+ }
+
+ @Override
+ public SyntheticSourceReader createReader(PipelineOptions pipelineOptions)
throws IOException {
+ return new SyntheticSourceReader(this);
+ }
+
+ @Override
+ public List<SyntheticBoundedSource> split(
+ long desiredBundleSizeBytes, PipelineOptions options) throws Exception
{
+ List<SyntheticBoundedSource> res = new ArrayList<>();
+
+ // Choose number of bundles either based on explicit parameter,
+ // or based on size and hints.
+ int desiredNumBundles =
+ (sourceOptions.forceNumInitialBundles == null)
+ ? ((int) Math.ceil(1.0 * getEstimatedSizeBytes(options) /
desiredBundleSizeBytes))
+ : sourceOptions.forceNumInitialBundles;
+
+ // Generate relative bundle sizes using the given distribution.
+ double[] relativeSizes = new double[desiredNumBundles];
+ for (int i = 0; i < relativeSizes.length; ++i) {
+ relativeSizes[i] =
+ sourceOptions.bundleSizeDistribution.sample(
+ sourceOptions.hashFunction.hashInt(i).asLong());
+ }
+ double s = sum(relativeSizes);
+
+ // Generate offset ranges proportional to the relative sizes.
Review comment:
You will also gain the startOffset <= endOffset validation 'for free' if
building OffsetRanges.
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Issue Time Tracking
-------------------
Worklog Id: (was: 115943)
> Performance tests need a way to generate Synthetic data
> -------------------------------------------------------
>
> Key: BEAM-4432
> URL: https://issues.apache.org/jira/browse/BEAM-4432
> Project: Beam
> Issue Type: Improvement
> Components: testing
> Reporter: Pablo Estrada
> Assignee: Pablo Estrada
> Priority: Minor
> Time Spent: 3h 10m
> Remaining Estimate: 0h
>
> GenerateSequence fal.lls short in this regard, as we may want to generate
> data in custom distributions, or with specific repeatability requirements /
> and hardcoded delays for autoscaling.
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