|
17 | 17 | */ |
18 | 18 | package org.apache.beam.runners.core.metrics; |
19 | 19 |
|
20 | | -import java.io.IOException; |
21 | | -import java.io.ObjectInputStream; |
22 | | -import java.io.ObjectOutputStream; |
| 20 | +import com.google.auto.value.AutoValue; |
23 | 21 | import java.io.Serializable; |
24 | | -import java.util.Map; |
25 | | -import java.util.Objects; |
26 | | -import java.util.Optional; |
27 | | -import java.util.Set; |
28 | 22 | import org.apache.beam.sdk.metrics.DistributionResult; |
29 | | -import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.annotations.VisibleForTesting; |
30 | | -import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableMap; |
31 | | -import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableSet; |
32 | | -import org.apache.datasketches.memory.Memory; |
33 | | -import org.apache.datasketches.quantiles.DoublesSketchBuilder; |
34 | | -import org.apache.datasketches.quantiles.DoublesUnion; |
35 | | -import org.apache.datasketches.quantiles.DoublesUnionBuilder; |
36 | | -import org.apache.datasketches.quantiles.UpdateDoublesSketch; |
37 | 23 |
|
38 | 24 | /** |
39 | 25 | * Data describing the the distribution. This should retain enough detail that it can be combined |
40 | 26 | * with other {@link DistributionData}. |
41 | 27 | * |
42 | | - * <p>Datasketch library is used to compute percentiles. See {@linktourl |
43 | | - * https://datasketches.apache.org/}. |
44 | | - * |
45 | 28 | * <p>This is kept distinct from {@link DistributionResult} since this may be extended to include |
46 | 29 | * data necessary to approximate quantiles, etc. while {@link DistributionResult} would just include |
47 | 30 | * the approximate value of those quantiles. |
48 | 31 | */ |
49 | | -public class DistributionData implements Serializable { |
50 | | - // k = 256 should yield an approximate error ε of less than 1% |
51 | | - private static final int SKETCH_SUMMARY_SIZE = 256; |
52 | | - |
53 | | - private final Set<Double> percentiles; |
54 | | - private long sum; |
55 | | - private long count; |
56 | | - private long min; |
57 | | - private long max; |
58 | | - private transient Optional<UpdateDoublesSketch> sketch; |
59 | | - |
60 | | - /** Creates an instance of DistributionData with custom percentiles. */ |
61 | | - public static DistributionData withPercentiles(Set<Double> percentiles) { |
62 | | - return new DistributionData(0L, 0L, Long.MAX_VALUE, Long.MIN_VALUE, percentiles); |
63 | | - } |
64 | | - |
65 | | - /** Backward compatible static factory method. */ |
66 | | - public static DistributionData empty() { |
67 | | - return new DistributionData(0L, 0L, Long.MAX_VALUE, Long.MIN_VALUE, ImmutableSet.of()); |
68 | | - } |
69 | | - |
70 | | - /** Static factory method primary used for testing. */ |
71 | | - @VisibleForTesting |
72 | | - public static DistributionData create(long sum, long count, long min, long max) { |
73 | | - return new DistributionData(sum, count, min, max, ImmutableSet.of()); |
74 | | - } |
| 32 | +@AutoValue |
| 33 | +public abstract class DistributionData implements Serializable { |
75 | 34 |
|
76 | | - private DistributionData(long sum, long count, long min, long max, Set<Double> percentiles) { |
77 | | - this.sum = sum; |
78 | | - this.count = count; |
79 | | - this.min = min; |
80 | | - this.max = max; |
81 | | - this.percentiles = percentiles; |
82 | | - if (!percentiles.isEmpty()) { |
83 | | - final DoublesSketchBuilder doublesSketchBuilder = new DoublesSketchBuilder(); |
84 | | - this.sketch = Optional.of(doublesSketchBuilder.setK(SKETCH_SUMMARY_SIZE).build()); |
85 | | - } else { |
86 | | - this.sketch = Optional.empty(); |
87 | | - } |
88 | | - } |
| 35 | + public abstract long sum(); |
89 | 36 |
|
90 | | - public static DistributionData singleton(long value) { |
91 | | - final DistributionData distributionData = empty(); |
92 | | - distributionData.update(value); |
93 | | - return distributionData; |
94 | | - } |
| 37 | + public abstract long count(); |
95 | 38 |
|
96 | | - //////////////////////////////////////////////////////////////////////////////////////////////////////// |
97 | | - // Getters |
| 39 | + public abstract long min(); |
98 | 40 |
|
99 | | - public long sum() { |
100 | | - return sum; |
101 | | - } |
| 41 | + public abstract long max(); |
102 | 42 |
|
103 | | - public long count() { |
104 | | - return count; |
105 | | - } |
106 | | - |
107 | | - public long min() { |
108 | | - return min; |
109 | | - } |
110 | | - |
111 | | - public long max() { |
112 | | - return max; |
113 | | - } |
| 43 | + public static final DistributionData EMPTY = create(0, 0, Long.MAX_VALUE, Long.MIN_VALUE); |
114 | 44 |
|
115 | | - /** Gets the percentiles and the percentiles values as a map. */ |
116 | | - public Map<Double, Double> percentiles() { |
117 | | - if (!sketch.isPresent() || sketch.get().getN() == 0) { |
118 | | - // if the sketch is not present or is empty, do not compute the percentile |
119 | | - return ImmutableMap.of(); |
120 | | - } |
121 | | - |
122 | | - double[] quantiles = percentiles.stream().mapToDouble(i -> i / 100).toArray(); |
123 | | - double[] quantileResults = sketch.get().getQuantiles(quantiles); |
124 | | - |
125 | | - final ImmutableMap.Builder<Double, Double> resultBuilder = ImmutableMap.builder(); |
126 | | - for (int k = 0; k < quantiles.length; k++) { |
127 | | - resultBuilder.put(quantiles[k] * 100, quantileResults[k]); |
128 | | - } |
129 | | - return resultBuilder.build(); |
130 | | - } |
131 | | - |
132 | | - //////////////////////////////////////////////////////////////////////////////////////////////////////// |
133 | | - |
134 | | - /** |
135 | | - * Updates the distribution with a value. For percentiles, only add the value to the sketch. |
136 | | - * Percentile will be computed prior to calling {@link DistributionCell#getCumulative()} or in |
137 | | - * {@link #extractResult()}. |
138 | | - * |
139 | | - * @param value value to update the distribution with. |
140 | | - */ |
141 | | - public void update(long value) { |
142 | | - ++count; |
143 | | - min = Math.min(min, value); |
144 | | - max = Math.max(max, value); |
145 | | - sum += value; |
146 | | - sketch.ifPresent(currSketch -> currSketch.update(value)); |
| 45 | + public static DistributionData create(long sum, long count, long min, long max) { |
| 46 | + return new AutoValue_DistributionData(sum, count, min, max); |
147 | 47 | } |
148 | 48 |
|
149 | | - /** Merges two distributions. */ |
150 | | - public DistributionData combine(DistributionData other) { |
151 | | - if (sketch.isPresent() |
152 | | - && other.sketch.isPresent() |
153 | | - && sketch.get().getN() > 0 |
154 | | - && other.sketch.get().getN() > 0) { |
155 | | - final DoublesUnion union = new DoublesUnionBuilder().build(); |
156 | | - union.update(sketch.get()); |
157 | | - union.update(other.sketch.get()); |
158 | | - sketch = Optional.of(union.getResult()); |
159 | | - } else if (other.sketch.isPresent() && other.sketch.get().getN() > 0) { |
160 | | - sketch = other.sketch; |
161 | | - } |
162 | | - sum += other.sum; |
163 | | - count += other.count; |
164 | | - max = Math.max(max, other.max); |
165 | | - min = Math.min(min, other.min); |
166 | | - return this; |
| 49 | + public static DistributionData singleton(long value) { |
| 50 | + return create(value, 1, value, value); |
167 | 51 | } |
168 | 52 |
|
169 | | - public DistributionData reset() { |
170 | | - this.sum = 0L; |
171 | | - this.count = 0L; |
172 | | - this.min = Long.MAX_VALUE; |
173 | | - this.max = Long.MIN_VALUE; |
174 | | - if (!this.percentiles.isEmpty()) { |
175 | | - final DoublesSketchBuilder doublesSketchBuilder = new DoublesSketchBuilder(); |
176 | | - this.sketch = Optional.of(doublesSketchBuilder.setK(SKETCH_SUMMARY_SIZE).build()); |
177 | | - } else { |
178 | | - this.sketch = Optional.empty(); |
179 | | - } |
180 | | - return this; |
| 53 | + public DistributionData combine(DistributionData value) { |
| 54 | + return create( |
| 55 | + sum() + value.sum(), |
| 56 | + count() + value.count(), |
| 57 | + Math.min(value.min(), min()), |
| 58 | + Math.max(value.max(), max())); |
181 | 59 | } |
182 | 60 |
|
183 | | - /** Generates DistributionResult from DistributionData. */ |
184 | 61 | public DistributionResult extractResult() { |
185 | | - return DistributionResult.create(sum(), count(), min(), max(), percentiles()); |
186 | | - } |
187 | | - |
188 | | - @Override |
189 | | - public boolean equals(Object object) { |
190 | | - if (object instanceof DistributionData) { |
191 | | - DistributionData other = (DistributionData) object; |
192 | | - return Objects.equals(max, other.max()) |
193 | | - && Objects.equals(min, other.min()) |
194 | | - && Objects.equals(count, other.count()) |
195 | | - && Objects.equals(sum, other.sum()) |
196 | | - && Objects.equals(percentiles(), other.percentiles()); |
197 | | - } |
198 | | - return false; |
199 | | - } |
200 | | - |
201 | | - @Override |
202 | | - public int hashCode() { |
203 | | - return Objects.hash(min, max, sum, count, percentiles()); |
204 | | - } |
205 | | - |
206 | | - @Override |
207 | | - public String toString() { |
208 | | - return "DistributionData{" |
209 | | - + "sum=" |
210 | | - + sum |
211 | | - + ", " |
212 | | - + "count=" |
213 | | - + count |
214 | | - + ", " |
215 | | - + "min=" |
216 | | - + min |
217 | | - + ", " |
218 | | - + "max=" |
219 | | - + max |
220 | | - + ", " |
221 | | - + "percentiles=" |
222 | | - + percentiles() |
223 | | - + "}"; |
224 | | - } |
225 | | - |
226 | | - private void writeObject(ObjectOutputStream out) throws IOException { |
227 | | - out.defaultWriteObject(); |
228 | | - if (sketch.isPresent()) { |
229 | | - byte[] bytes = sketch.get().toByteArray(); |
230 | | - out.writeInt(bytes.length); |
231 | | - out.write(bytes); |
232 | | - } |
233 | | - } |
234 | | - |
235 | | - @SuppressWarnings("ResultOfMethodCallIgnored") |
236 | | - private void readObject(ObjectInputStream in) throws ClassNotFoundException, IOException { |
237 | | - in.defaultReadObject(); |
238 | | - if (!this.percentiles.isEmpty()) { |
239 | | - int len = in.readInt(); |
240 | | - byte[] bytes = new byte[len]; |
241 | | - in.read(bytes); |
242 | | - this.sketch = Optional.of(UpdateDoublesSketch.heapify(Memory.wrap(bytes))); |
243 | | - } else { |
244 | | - this.sketch = Optional.empty(); |
245 | | - } |
| 62 | + return DistributionResult.create(sum(), count(), min(), max()); |
246 | 63 | } |
247 | 64 | } |
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