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+3 -1
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@@ -127,6 +127,7 @@
</execution>
</executions>
</plugin>
<!--
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>exec-maven-plugin</artifactId>
@@ -140,7 +141,7 @@
<configuration>
<executable>python</executable>
<workingDirectory>${project.basedir}/src/main/python</workingDirectory>
<commandlineArgs>setup.py sdist --dist-dir ${project.build.directory}</commandlineArgs>
<commandlineArgs>setup.py sdist - -dist-dir ${project.build.directory}</commandlineArgs>
</configuration>
</execution>
<execution>
@@ -157,6 +158,7 @@
</execution>
</executions>
</plugin>
-->
</plugins>
</build>
<reporting>
@@ -0,0 +1,200 @@
package timely.model;
import java.lang.reflect.Array;
import java.lang.reflect.Field;
import java.lang.reflect.Method;
import java.lang.reflect.Modifier;
import java.util.HashSet;
import java.util.Set;
import java.util.Stack;
import java.util.logging.Logger;
/**
* A simple interface that objects can implement to return the object size.
*/
public interface ObjectSizeOf {
/**
* The (approximate) size of the object
*/
long sizeInBytes();
public static class ObjectInstance {
private Object o;
public ObjectInstance(Object _o) {
this.o = _o;
}
public Object getObject() {
return o;
}
@Override
public int hashCode() {
return System.identityHashCode(o);
}
@Override
public boolean equals(Object obj) {
if (!(obj instanceof ObjectInstance)) {
return false;
}
return ((ObjectInstance) obj).o == this.o;
}
}
public static class Sizer {
private static final Logger log = Logger.getLogger(Sizer.class.getCanonicalName());
public static final short OBJECT_OVERHEAD = 8;
public static final short ARRAY_OVERHEAD = 12;
public static final short REFERENCE = 4;
// The size of the basic Number constructs (and Boolean and Character)
// is 16: roundUp(8 + primitiveSize)
public static final short NUMBER_SIZE = 16;
/**
* Get the size of an object. Note that we want something relatively
* fast that gives us an order of magnitude here. The java
* Instrumentation agent mechanism is a little too costly for general
* use here. This will look for the ObjectSizeOf interface and if
* implemented on the object will use that. Otherwise it will do a
* simple navigation of the fields using reflection.
*
* @param o
* @return an approximation of the object size
*/
public static long getObjectSize(Object o, boolean useSizeInBytesMethod, boolean debug) {
long estSize = getObjectSize(o, new HashSet<ObjectInstance>(), new Stack<ObjectInstance>(),
useSizeInBytesMethod, debug);
return estSize;
}
public static long getObjectSize(Object o) {
long estSize = getObjectSize(o, new HashSet<ObjectInstance>(), new Stack<ObjectInstance>(), true, false);
return estSize;
}
public static long getObjectSize(Object o, Set<ObjectInstance> visited, Stack<ObjectInstance> stack,
boolean useSizeInBytesMethod, boolean debug) {
long totalSize = 0;
stack.add(new ObjectInstance(o));
while (!stack.isEmpty()) {
long size = 0;
ObjectInstance oi = stack.pop();
o = oi.getObject();
if (o != null && !visited.contains(oi)) {
visited.add(oi);
try {
if (useSizeInBytesMethod) {
try {
if (o instanceof ObjectSizeOf) {
size = ((ObjectSizeOf) o).sizeInBytes();
} else {
Method sizeInBytes = o.getClass().getMethod("sizeInBytes", (Class<?>[]) null);
size = (Long) sizeInBytes.invoke(o);
}
} catch (Throwable t) {
// ok, lets do this the hard way...
}
}
if (size == 0) {
// the hard way...
// do not include Class related objects or
// reflection objects
if ((o instanceof Class)
|| (o instanceof ClassLoader)
|| (o.getClass().getPackage() != null && o.getClass().getPackage().getName()
.startsWith("java.lang.reflect"))) {
size = 0;
} else if (o instanceof Number || o instanceof Boolean || o instanceof Character) {
size = NUMBER_SIZE;
} else {
// lets do a simple sizing
Class<?> c = o.getClass();
if (c.isArray()) {
size = ARRAY_OVERHEAD;
int length = Array.getLength(o);
if (c.getComponentType().isPrimitive()) {
size += length * getPrimitiveObjectSize(c.getComponentType());
} else {
size += length * REFERENCE;
for (int i = 0; i < length; i++) {
Object element = Array.get(o, i);
if (element != null) {
stack.add(new ObjectInstance(element));
}
}
}
} else {
size += OBJECT_OVERHEAD;
while (c != null) {
for (Field field : c.getDeclaredFields()) {
if (Modifier.isStatic(field.getModifiers())) {
continue;
}
if (field.getType().isPrimitive()) {
size += getPrimitiveObjectSize(field.getType());
} else {
size += REFERENCE;
boolean accessible = field.isAccessible();
field.setAccessible(true);
try {
Object fieldObject = field.get(o);
if (fieldObject != null) {
stack.push(new ObjectInstance(fieldObject));
}
} catch (Exception e) {
// cannot get to field, so
// ignore it in this size
// calculation
e.printStackTrace();
}
field.setAccessible(accessible);
}
}
c = c.getSuperclass();
}
}
size = roundUp(size);
}
}
} catch (Throwable t) {
log.warning("Unable to determine object size for " + o);
}
if (debug) {
System.out.println(o.getClass().getCanonicalName() + "=" + size);
}
}
totalSize += size;
}
return totalSize;
}
public static long roundUp(long size) {
long extra = size % 8;
if (extra > 0) {
size = size + 8 - extra;
}
return size;
}
public static short getPrimitiveObjectSize(Class<?> primitiveType) {
if (primitiveType.equals(int.class) || primitiveType.equals(float.class)) {
return 4;
} else if (primitiveType.equals(boolean.class) || primitiveType.equals(byte.class)) {
return 1;
} else if (primitiveType.equals(char.class) || primitiveType.equals(short.class)) {
return 2;
} else if (primitiveType.equals(long.class) || primitiveType.equals(double.class)) {
return 8;
} else { // if (primitiveType.equals(void.class)) {
return 0;
}
}
}
}
+1
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@@ -15,6 +15,7 @@ timely:
bufferSize: 52428800
scan:
threads: 4
max-downsample-memory: 10000000
security:
session-max-age: 86400
allow-anonymous-access: true
+1
View File
@@ -15,6 +15,7 @@ timely:
bufferSize: 52428800
scan:
threads: 4
max-downsample-memory: 10000000
security:
session-max-age: 86400
allow-anonymous-access: true
+1
View File
@@ -15,6 +15,7 @@ timely:
bufferSize: 52428800
scan:
threads: 4
max-downsample-memory: 10000000
security:
session-max-age: 86400
allow-anonymous-access: false
@@ -218,6 +218,7 @@ public class Configuration {
public class Scan {
private int threads = 4;
private long maxDownsampleMemory = -1;
public int getThreads() {
return threads;
@@ -227,6 +228,15 @@ public class Configuration {
this.threads = threads;
return Configuration.this;
}
public long getMaxDownsampleMemory() {
return maxDownsampleMemory;
}
public Configuration setMaxDownsampleMemory(long maxDownsampleMemory) {
this.maxDownsampleMemory = maxDownsampleMemory;
return Configuration.this;
}
}
public class Security {
@@ -3,6 +3,7 @@ package timely.sample;
import com.google.common.base.Preconditions;
import org.apache.commons.lang3.builder.ToStringBuilder;
import timely.api.request.timeseries.QueryRequest;
import timely.model.ObjectSizeOf;
import java.io.IOException;
import java.io.ObjectInputStream;
@@ -140,4 +141,7 @@ public class Aggregation implements Iterable<Sample>, Serializable {
return result;
}
public int getNumBuckets() {
return buckets.size();
}
}
@@ -3,6 +3,7 @@ package timely.sample;
import com.google.common.base.Preconditions;
import org.apache.commons.lang3.builder.ToStringBuilder;
import timely.api.request.timeseries.QueryRequest.RateOption;
import timely.model.ObjectSizeOf;
import java.io.Serializable;
import java.util.ArrayList;
@@ -64,5 +65,4 @@ public class Downsample extends Aggregation implements Iterable<Sample>, Seriali
}
return result;
}
}
@@ -5,10 +5,7 @@ import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;
import java.util.*;
import org.apache.accumulo.core.client.IteratorSetting;
import org.apache.accumulo.core.data.Key;
@@ -17,8 +14,10 @@ import org.apache.accumulo.core.iterators.IteratorEnvironment;
import org.apache.accumulo.core.iterators.SortedKeyValueIterator;
import org.apache.accumulo.core.iterators.WrappingIterator;
import org.apache.log4j.Logger;
import timely.adapter.accumulo.MetricAdapter;
import timely.model.Metric;
import timely.model.ObjectSizeOf;
import timely.model.Tag;
import timely.api.response.TimelyException;
import timely.sample.Aggregator;
@@ -30,20 +29,125 @@ public class DownsampleIterator extends WrappingIterator {
private static final String START = "downsample.start";
private static final String END = "downsample.end";
private static final String PERIOD = "downsample.period";
private static final String MAX_DOWNSAMPLE_MEMORY = "downsample.maxDownsampleMemory";
private static final String AGGCLASS = "downsample.aggclass";
private DownsampleFactory factory;
private final Map<Set<Tag>, Downsample> value = new HashMap<>();
private long start;
private long end;
private long period;
private Key last;
private MemoryEstimator memoryEstimator = null;
static public class MemoryEstimator {
private boolean newBucket = false;
private long start;
private long period;
private long startOfCurrentBucket;
private long bucketsCompleted = 0;
private long bytesPerBucket = 0;
boolean highVolumeBuckets = false;
long maxDownsampleMemory = 0; // max aggregation memory (bytes) before
// current batch is returned (after
// bucket is complete)
LinkedList<Long> percentageChecks = new LinkedList<>();
public void reset() {
newBucket = false;
bucketsCompleted = 0;
bytesPerBucket = 0;
percentageChecks.add(5l);
percentageChecks.add(25l);
percentageChecks.add(50l);
percentageChecks.add(75l);
}
public MemoryEstimator(long maxDownsampleMemory, long start, long period) {
this.maxDownsampleMemory = maxDownsampleMemory;
this.start = start;
this.period = period;
this.startOfCurrentBucket = this.start;
reset();
}
public double getMemoryUsedPercentage() {
return (bucketsCompleted * bytesPerBucket) / (double) maxDownsampleMemory * 100;
}
public long getBucketsCompleted() {
return bucketsCompleted;
}
public long getBytesPerBucket() {
return bytesPerBucket;
}
public boolean isHighVolumeBuckets() {
return highVolumeBuckets;
}
public boolean shouldReturnBasedOnMemoryUsage(long timestamp, Object value) {
boolean shouldReturn = false;
if (maxDownsampleMemory >= 0) {
sample(timestamp);
if (isNewBucket()) {
bucketsCompleted++;
double memoryUsedPercentage = getMemoryUsedPercentage();
if (memoryUsedPercentage >= 100) {
shouldReturn = true;
} else {
boolean checkMemoryNow = false;
Long check = percentageChecks.peek();
if (check != null && memoryUsedPercentage >= check) {
checkMemoryNow = true;
percentageChecks.removeFirst();
}
// recalculate bytesPerBucket
if (bytesPerBucket == 0 || highVolumeBuckets || checkMemoryNow) {
long memoryUsed = ObjectSizeOf.Sizer.getObjectSize(value);
bytesPerBucket = memoryUsed / bucketsCompleted;
}
// bucket average greater than 10% of max
highVolumeBuckets = (bytesPerBucket / (double) maxDownsampleMemory) >= 0.1;
shouldReturn = false;
}
}
}
return shouldReturn;
}
public boolean isNewBucket() {
return newBucket;
}
private void sample(long timestamp) {
if (timestamp >= (startOfCurrentBucket + period)) {
newBucket = true;
startOfCurrentBucket = timestamp - ((timestamp - start) % period);
} else {
newBucket = false;
}
}
}
@SuppressWarnings("unchecked")
@Override
public void init(SortedKeyValueIterator<Key, Value> source, Map<String, String> options, IteratorEnvironment env)
throws IOException {
super.init(source, options, env);
long start = Long.parseLong(options.get(START));
long end = Long.parseLong(options.get(END));
long period = Long.parseLong(options.get(PERIOD));
start = Long.parseLong(options.get(START));
end = Long.parseLong(options.get(END));
period = Long.parseLong(options.get(PERIOD));
// default = 100 MB
long maxDownsampleMemory = -1;
if (options.containsKey(MAX_DOWNSAMPLE_MEMORY)) {
maxDownsampleMemory = Long.parseLong(options.get(MAX_DOWNSAMPLE_MEMORY));
}
memoryEstimator = new MemoryEstimator(maxDownsampleMemory, start, period);
String aggClassname = options.get(AGGCLASS);
Class<?> aggClass;
try {
@@ -56,26 +160,38 @@ public class DownsampleIterator extends WrappingIterator {
@Override
public boolean hasTop() {
while (super.hasTop()) {
last = super.getTopKey();
Metric metric = MetricAdapter.parse(super.getTopKey(), super.getTopValue());
Set<Tag> tags = new HashSet<Tag>(metric.getTags());
Downsample sample = value.get(tags);
if (sample == null) {
if (super.hasTop()) {
while (super.hasTop()) {
Key topKey = super.getTopKey();
Value topValue = super.getTopValue();
Metric metric = MetricAdapter.parse(topKey, topValue);
long timestamp = metric.getValue().getTimestamp();
if (memoryEstimator.shouldReturnBasedOnMemoryUsage(timestamp, value)) {
break;
}
last = topKey;
Set<Tag> tags = new HashSet<Tag>(metric.getTags());
Downsample sample = value.get(tags);
if (sample == null) {
try {
value.put(tags, sample = factory.create());
} catch (TimelyException e) {
throw new RuntimeException(e);
}
}
sample.add(metric.getValue().getTimestamp(), metric.getValue().getMeasure());
try {
value.put(tags, sample = factory.create());
} catch (TimelyException e) {
throw new RuntimeException(e);
super.next();
} catch (IOException e) {
throw new RuntimeException("Downstream next() failed", e);
}
}
sample.add(metric.getValue().getTimestamp(), metric.getValue().getMeasure());
try {
super.next();
} catch (IOException e) {
throw new RuntimeException("Downstream next() failed", e);
}
return last != null;
} else {
return false;
}
return last != null;
}
@Override
@@ -89,6 +205,9 @@ public class DownsampleIterator extends WrappingIterator {
ObjectOutputStream out = new ObjectOutputStream(bos)) {
out.writeObject(value);
out.flush();
// empty for next batch of downsamples
value.clear();
memoryEstimator.reset();
return new Value(bos.toByteArray());
} catch (IOException e) {
throw new RuntimeException(e);
@@ -97,13 +216,17 @@ public class DownsampleIterator extends WrappingIterator {
@Override
public void next() throws IOException {
last = null;
if (!super.hasTop()) {
last = null;
}
}
public static void setDownsampleOptions(IteratorSetting is, long start, long end, long period, String classname) {
public static void setDownsampleOptions(IteratorSetting is, long start, long end, long period,
long maxDownsampleMemory, String classname) {
is.addOption(START, "" + start);
is.addOption(END, "" + end);
is.addOption(PERIOD, "" + period);
is.addOption(MAX_DOWNSAMPLE_MEMORY, "" + maxDownsampleMemory);
is.addOption(AGGCLASS, classname);
}
@@ -125,6 +125,7 @@ public class DataStoreImpl implements DataStore {
private final InternalMetrics internalMetrics = new InternalMetrics();
private final Timer internalMetricsTimer = new Timer(true);
private final int scannerThreads;
private final long maxDownsampleMemory;
private final BatchWriterConfig bwConfig;
private final List<BatchWriter> writers = new ArrayList<>();
private final ThreadLocal<BatchWriter> metaWriter = new ThreadLocal<>();
@@ -149,6 +150,7 @@ public class DataStoreImpl implements DataStore {
bwConfig.setMaxMemory(getMemoryInBytes(accumuloConf.getWrite().getBufferSize()) / numWriteThreads);
bwConfig.setMaxWriteThreads(accumuloConf.getWrite().getThreads());
scannerThreads = accumuloConf.getScan().getThreads();
maxDownsampleMemory = accumuloConf.getScan().getMaxDownsampleMemory();
anonAccessAllowed = conf.getSecurity().isAllowAnonymousAccess();
metricsTable = conf.getMetricsTable();
@@ -506,7 +508,7 @@ public class DataStoreImpl implements DataStore {
LOG.trace("Downsample Aggregator type {}", daggClass.getSimpleName());
IteratorSetting is = new IteratorSetting(500, DownsampleIterator.class);
DownsampleIterator.setDownsampleOptions(is, startOfFirstPeriod, endOfLastPeriod, downsample,
daggClass.getName());
maxDownsampleMemory, daggClass.getName());
scanner.addScanIterator(is);
}
@@ -4,13 +4,8 @@ import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertNotNull;
import static org.junit.Assert.assertTrue;
import java.util.Collections;
import java.util.List;
import java.util.Map;
import java.util.*;
import java.util.Map.Entry;
import java.util.Set;
import java.util.SortedMap;
import java.util.TreeMap;
import org.apache.accumulo.core.client.IteratorSetting;
import org.apache.accumulo.core.data.ColumnUpdate;
@@ -26,8 +21,10 @@ import org.junit.Test;
import timely.Configuration;
import timely.adapter.accumulo.MetricAdapter;
import timely.model.Metric;
import timely.model.ObjectSizeOf;
import timely.model.Tag;
import timely.auth.VisibilityCache;
import timely.model.parse.TagListParser;
import timely.sample.Downsample;
import timely.sample.Sample;
import timely.sample.aggregators.Avg;
@@ -72,6 +69,7 @@ public class DownsampleIteratorTest {
}
private void createTestData2() {
List<List<Tag>> listOfTagVariations = new ArrayList<>();
List<Tag> tags = Collections.singletonList(new Tag("host", "host1"));
List<Tag> tags2 = Collections.singletonList(new Tag("host", "host2"));
@@ -85,7 +83,7 @@ public class DownsampleIteratorTest {
public void simpleGetOneSample() throws Exception {
// check that data gets pulled out
DownsampleIterator iter = new DownsampleIterator();
Map<Set<Tag>, Downsample> samples = runQuery(iter, testData1, 100);
Map<Set<Tag>, Downsample> samples = runQuery(iter, testData1, 100, -1);
assertEquals(1, samples.size());
for (Entry<Set<Tag>, Downsample> entry : samples.entrySet()) {
Set<Tag> tags = entry.getKey();
@@ -104,7 +102,7 @@ public class DownsampleIteratorTest {
@Test
public void simpleGetTwoSamples() throws Exception {
DownsampleIterator iter = new DownsampleIterator();
Map<Set<Tag>, Downsample> samples = runQuery(iter, testData2, 100);
Map<Set<Tag>, Downsample> samples = runQuery(iter, testData2, 100, -1);
assertEquals(2, samples.size());
for (Tag tag : new Tag[] { new Tag("host", "host1"), new Tag("host", "host2") }) {
Downsample dsample = samples.get(Collections.singleton(tag));
@@ -128,7 +126,7 @@ public class DownsampleIteratorTest {
@Test
public void simpleTestDownsampling() throws Exception {
DownsampleIterator iter = new DownsampleIterator();
Map<Set<Tag>, Downsample> samples = runQuery(iter, testData2, 200);
Map<Set<Tag>, Downsample> samples = runQuery(iter, testData2, 200, -1);
assertEquals(2, samples.size());
for (Tag tag : new Tag[] { new Tag("host", "host1"), new Tag("host", "host2") }) {
Downsample dsample = samples.get(Collections.singleton(tag));
@@ -149,17 +147,143 @@ public class DownsampleIteratorTest {
}
}
static public class SampleObject implements ObjectSizeOf {
private long sizeInBytes = 0;
public void setSizeInBytes(long sizeInBytes) {
this.sizeInBytes = sizeInBytes;
}
@Override
public long sizeInBytes() {
return sizeInBytes;
}
}
@Test
public void memoryEstimatorTestSmallObjects() {
long maxMemory = 1000;
long start = System.currentTimeMillis();
long period = 500l;
long sizeOfObjects = 20;
SampleObject o = new SampleObject();
DownsampleIterator.MemoryEstimator memoryEstimator = new DownsampleIterator.MemoryEstimator(maxMemory, start,
period);
boolean shouldReturn = false;
for (long x = 100; x <= 5000; x += 100) {
long timestamp = start + x;
o.setSizeInBytes(o.sizeInBytes() + sizeOfObjects);
shouldReturn = memoryEstimator.shouldReturnBasedOnMemoryUsage(timestamp, o);
if (memoryEstimator.isNewBucket()) {
long memoryPercentageUsedCalculated = Math.round((double) o.sizeInBytes() / maxMemory * 100);
long memoryPercentageUsedEstimate = Math.round(memoryEstimator.getMemoryUsedPercentage());
long percentError = Math.round(Math.abs(memoryPercentageUsedCalculated - memoryPercentageUsedEstimate)
/ memoryPercentageUsedCalculated * 100);
assertTrue(percentError == 0);
}
if (shouldReturn) {
o.setSizeInBytes(0);
memoryEstimator.reset();
}
}
assertTrue(shouldReturn);
}
@Test
public void memoryEstimatorTestLargeObjects() {
long maxMemory = 10000;
long start = System.currentTimeMillis();
long period = 500l;
long sizeOfObjects = 200;
SampleObject o = new SampleObject();
DownsampleIterator.MemoryEstimator memoryEstimator = new DownsampleIterator.MemoryEstimator(maxMemory, start,
period);
boolean shouldReturn = false;
for (long x = 100; x <= 5000; x += 100) {
long timestamp = start + x;
o.setSizeInBytes(o.sizeInBytes() + sizeOfObjects);
shouldReturn = memoryEstimator.shouldReturnBasedOnMemoryUsage(timestamp, o);
if (memoryEstimator.isNewBucket()) {
long memoryPercentageUsedCalculated = Math.round((double) o.sizeInBytes() / maxMemory * 100);
long memoryPercentageUsedEstimate = Math.round(memoryEstimator.getMemoryUsedPercentage());
long percentError = Math.round(Math.abs(memoryPercentageUsedCalculated - memoryPercentageUsedEstimate)
/ memoryPercentageUsedCalculated * 100);
assertTrue(percentError == 0);
assertTrue(memoryEstimator.isHighVolumeBuckets());
}
if (shouldReturn) {
o.setSizeInBytes(0);
memoryEstimator.reset();
}
}
assertTrue(shouldReturn);
}
private SortedMap<Key, Value> createTestData3(int elapsedTime, int skipInterval, int numTagVariations) {
SortedMap<Key, Value> testData3 = new TreeMap<>();
List<List<Tag>> listOfTagVariations = new ArrayList<>();
for (int x = 1; x <= numTagVariations; x++) {
listOfTagVariations.add(Collections.singletonList(new Tag("instance", Integer.toString(x))));
}
for (long i = 0; i < elapsedTime; i += skipInterval) {
for (List<Tag> tags : listOfTagVariations) {
put(testData3, new Metric("sys.loadAvg", i, i * 2, tags));
}
}
return testData3;
}
@Test
public void testDownsampleCombining() throws Exception {
int numTagVariations = 2;
int sampleInterval = 50;
int elapsedTime = 100;
int skipInterval = 10;
SortedMap<Key, Value> testData3 = createTestData3(elapsedTime, skipInterval, numTagVariations);
DownsampleIterator iter = new DownsampleIterator();
Map<Set<Tag>, Downsample> samples = runQuery(iter, testData3, sampleInterval, 1000);
assertEquals(numTagVariations, samples.size());
long totalBuckets = 0;
for (Entry<Set<Tag>, Downsample> entry : samples.entrySet()) {
totalBuckets = totalBuckets + entry.getValue().getNumBuckets();
}
assertEquals((elapsedTime / sampleInterval) * numTagVariations, totalBuckets);
}
private Map<Set<Tag>, Downsample> runQuery(SortedKeyValueIterator<Key, Value> iter, SortedMap<Key, Value> testData,
long period) throws Exception {
long period, long maxDownsampleMemory) throws Exception {
IteratorSetting is = new IteratorSetting(100, DownsampleIterator.class);
DownsampleIterator.setDownsampleOptions(is, 0, 1000, period, Avg.class.getName());
DownsampleIterator.setDownsampleOptions(is, 0, 1000, period, maxDownsampleMemory, Avg.class.getName());
SortedKeyValueIterator<Key, Value> source = new SortedMapIterator(testData);
iter.init(source, is.getOptions(), null);
iter.seek(new Range(), Collections.emptyList(), true);
assertTrue(iter.hasTop());
Key key = iter.getTopKey();
boolean hasTop = iter.hasTop();
assertTrue(hasTop);
Key key = null;
Map<Set<Tag>, Downsample> samples = new HashMap<>();
do {
Map<Set<Tag>, Downsample> currentSamples = DownsampleIterator.decodeValue(iter.getTopValue());
List<Downsample> downsampleArray = new ArrayList<>();
for (Entry<Set<Tag>, Downsample> entry : currentSamples.entrySet()) {
Downsample downsample = samples.get(entry.getKey());
if (downsample == null) {
samples.put(entry.getKey(), entry.getValue());
} else {
downsampleArray.clear();
downsampleArray.add(downsample);
downsampleArray.add(entry.getValue());
samples.put(entry.getKey(), Downsample.combineDownsample(downsampleArray, null));
}
}
key = iter.getTopKey();
} while (iter.hasTop());
assertEquals(testData.lastKey(), key);
Map<Set<Tag>, Downsample> samples = DownsampleIterator.decodeValue(iter.getTopValue());
return samples;
}