mirror of
https://github.com/NationalSecurityAgency/timely.git
synced 2026-11-10 03:41:25 -10:00
Compare commits
8
Commits
TIMELY-164
...
1.0.0
| Author | SHA1 | Date | |
|---|---|---|---|
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c92ca2f09a | ||
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92b23a4c51 | ||
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8030ea59a5 | ||
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a4c8158003 | ||
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acba454ee3 | ||
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30790608ca | ||
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f2f3788f99 | ||
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326b9dc8f1 |
No files matched your search
@@ -6,4 +6,5 @@ target/
|
||||
*.iml
|
||||
logs/
|
||||
server/pki/
|
||||
client/src/main/python/setup.py
|
||||
|
||||
+1
-1
@@ -23,7 +23,7 @@ under the License.
|
||||
<parent>
|
||||
<groupId>timely</groupId>
|
||||
<artifactId>timely</artifactId>
|
||||
<version>0.0.6-SNAPSHOT</version>
|
||||
<version>1.0.0</version>
|
||||
</parent>
|
||||
<properties>
|
||||
<flink.version>1.1.4</flink.version>
|
||||
|
||||
+5
-3
@@ -5,11 +5,11 @@
|
||||
<parent>
|
||||
<groupId>timely</groupId>
|
||||
<artifactId>timely</artifactId>
|
||||
<version>0.0.6-SNAPSHOT</version>
|
||||
<version>1.0.0</version>
|
||||
</parent>
|
||||
<properties>
|
||||
<!-- PEP 440 compliant version gets supstituted into src/main/python/template/setup.py -->
|
||||
<python.client.version>0.0.6.dev0</python.client.version>
|
||||
<python.client.version>0.0.7.dev0</python.client.version>
|
||||
</properties>
|
||||
<dependencies>
|
||||
<dependency>
|
||||
@@ -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>
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||||
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@@ -0,0 +1,200 @@
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package timely.model;
|
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|
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import java.lang.reflect.Array;
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import java.lang.reflect.Field;
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import java.lang.reflect.Method;
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||||
import java.lang.reflect.Modifier;
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||||
import java.util.HashSet;
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||||
import java.util.Set;
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||||
import java.util.Stack;
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||||
import java.util.logging.Logger;
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|
||||
/**
|
||||
* A simple interface that objects can implement to return the object size.
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*/
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||||
public interface ObjectSizeOf {
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|
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/**
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* The (approximate) size of the object
|
||||
*/
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long sizeInBytes();
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||||
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||||
public static class ObjectInstance {
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|
||||
private Object o;
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||||
|
||||
public ObjectInstance(Object _o) {
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this.o = _o;
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||||
}
|
||||
|
||||
public Object getObject() {
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||||
return o;
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||||
}
|
||||
|
||||
@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());
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||||
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)
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||||
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;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
@@ -1,6 +1,5 @@
|
||||
package timely.model.parse;
|
||||
|
||||
import com.google.common.base.Splitter;
|
||||
import timely.model.Tag;
|
||||
|
||||
import java.util.ArrayList;
|
||||
@@ -15,13 +14,22 @@ import java.util.Map;
|
||||
*/
|
||||
public class TagListParser implements Parser<List<Tag>>, Combiner<Collection<Tag>> {
|
||||
|
||||
private static final Splitter commaSplitter = Splitter.on(",").omitEmptyStrings();
|
||||
private static final TagParser tagParser = new TagParser();
|
||||
|
||||
@Override
|
||||
public List<Tag> parse(String t) {
|
||||
ArrayList<Tag> tags = new ArrayList<>();
|
||||
commaSplitter.splitToList(t).forEach(p -> tags.add(tagParser.parse(p)));
|
||||
// only split on commas that are not preceded with a backslash
|
||||
String[] parts = t.split("(?<!\\\\),");
|
||||
for (String p : parts) {
|
||||
if (!p.isEmpty()) {
|
||||
Tag tag = tagParser.parse(p);
|
||||
// unescape commas in the key and value of the tag
|
||||
tag.setKey(tag.getKey().replaceAll("\\\\,", ","));
|
||||
tag.setValue(tag.getValue().replaceAll("\\\\,", ","));
|
||||
tags.add(tag);
|
||||
}
|
||||
}
|
||||
return tags;
|
||||
}
|
||||
|
||||
|
||||
@@ -12,7 +12,7 @@ import java.util.List;
|
||||
*/
|
||||
public class TagParser implements Parser<Tag>, Combiner<Tag> {
|
||||
|
||||
private static final Splitter equalSplitter = Splitter.on("=").trimResults();
|
||||
private static final Splitter equalSplitter = Splitter.on("=").limit(2).trimResults();
|
||||
private static final Joiner equalsJoiner = Joiner.on("=");
|
||||
|
||||
@Override
|
||||
|
||||
@@ -0,0 +1,40 @@
|
||||
package timely.model.parse;
|
||||
|
||||
import org.junit.Assert;
|
||||
import org.junit.Test;
|
||||
import timely.model.Metric;
|
||||
import timely.model.Tag;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
|
||||
public class MetricParserTest {
|
||||
|
||||
@Test
|
||||
public void testParseWithEscapedCharacters() {
|
||||
|
||||
MetricParser parser = new MetricParser();
|
||||
Metric m = parser.parse("put mymetric 12341234 5.0 tag1=value1,value1 tag2=value2=value2");
|
||||
|
||||
Assert.assertEquals("mymetric", m.getName());
|
||||
Assert.assertEquals(12341234, (long) m.getValue().getTimestamp());
|
||||
Assert.assertEquals(5.0, (double) m.getValue().getMeasure(), 0);
|
||||
List<Tag> expected = new ArrayList<>();
|
||||
expected.add(new Tag("tag1", "value1,value1"));
|
||||
expected.add(new Tag("tag2", "value2=value2"));
|
||||
Assert.assertEquals(expected, m.getTags());
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testParseMalformatted() {
|
||||
|
||||
MetricParser parser = new MetricParser();
|
||||
try {
|
||||
// parser should throw an exception
|
||||
parser.parse("put mymetric 12341234 5.0 tag1 tag2=value2");
|
||||
Assert.fail();
|
||||
} catch (IllegalArgumentException e) {
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
+13
-1
@@ -1,7 +1,8 @@
|
||||
package timely.model;
|
||||
package timely.model.parse;
|
||||
|
||||
import org.junit.Assert;
|
||||
import org.junit.Test;
|
||||
import timely.model.Tag;
|
||||
import timely.model.parse.TagListParser;
|
||||
|
||||
import java.util.ArrayList;
|
||||
@@ -37,4 +38,15 @@ public class TagListParserTest {
|
||||
String combined = new TagListParser().combine(map);
|
||||
Assert.assertEquals("tag1=value1,tag2=value2", combined);
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testParseTagsWithCommas() {
|
||||
|
||||
try {
|
||||
String s = "tag1=value1,tag2=3.4.3_(default\\,_Date\\,_Time)_";
|
||||
new TagListParser().parse(s);
|
||||
} catch (Exception e) {
|
||||
Assert.fail(e.getMessage());
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -4,7 +4,7 @@
|
||||
<parent>
|
||||
<groupId>timely</groupId>
|
||||
<artifactId>timely</artifactId>
|
||||
<version>0.0.6-SNAPSHOT</version>
|
||||
<version>1.0.0</version>
|
||||
</parent>
|
||||
<artifactId>collectd-nsq-plugin</artifactId>
|
||||
<dependencies>
|
||||
|
||||
@@ -4,7 +4,7 @@
|
||||
<parent>
|
||||
<groupId>timely</groupId>
|
||||
<artifactId>timely</artifactId>
|
||||
<version>0.0.6-SNAPSHOT</version>
|
||||
<version>1.0.0</version>
|
||||
</parent>
|
||||
<artifactId>collectd-plugin-parent</artifactId>
|
||||
<dependencies>
|
||||
|
||||
@@ -4,7 +4,7 @@
|
||||
<parent>
|
||||
<groupId>timely</groupId>
|
||||
<artifactId>timely</artifactId>
|
||||
<version>0.0.6-SNAPSHOT</version>
|
||||
<version>1.0.0</version>
|
||||
</parent>
|
||||
<artifactId>collectd-timely-plugin</artifactId>
|
||||
<dependencies>
|
||||
|
||||
+1
-1
@@ -3,7 +3,7 @@
|
||||
<parent>
|
||||
<groupId>timely</groupId>
|
||||
<artifactId>timely</artifactId>
|
||||
<version>0.0.6-SNAPSHOT</version>
|
||||
<version>1.0.0</version>
|
||||
</parent>
|
||||
<artifactId>timely-common</artifactId>
|
||||
<dependencies>
|
||||
|
||||
+1
-1
@@ -4,7 +4,7 @@
|
||||
<parent>
|
||||
<groupId>timely</groupId>
|
||||
<artifactId>timely</artifactId>
|
||||
<version>0.0.6-SNAPSHOT</version>
|
||||
<version>1.0.0</version>
|
||||
</parent>
|
||||
<build>
|
||||
<plugins>
|
||||
|
||||
@@ -3,7 +3,7 @@
|
||||
<modelVersion>4.0.0</modelVersion>
|
||||
<groupId>timely</groupId>
|
||||
<artifactId>timely</artifactId>
|
||||
<version>0.0.6-SNAPSHOT</version>
|
||||
<version>1.0.0</version>
|
||||
<packaging>pom</packaging>
|
||||
<name>Timely</name>
|
||||
<description>A secure and scalable time series database based on Apache Accumulo</description>
|
||||
|
||||
@@ -15,6 +15,7 @@ timely:
|
||||
bufferSize: 52428800
|
||||
scan:
|
||||
threads: 4
|
||||
max-downsample-memory: 10000000
|
||||
security:
|
||||
session-max-age: 86400
|
||||
allow-anonymous-access: true
|
||||
|
||||
@@ -15,6 +15,7 @@ timely:
|
||||
bufferSize: 52428800
|
||||
scan:
|
||||
threads: 4
|
||||
max-downsample-memory: 10000000
|
||||
security:
|
||||
session-max-age: 86400
|
||||
allow-anonymous-access: true
|
||||
|
||||
@@ -15,6 +15,7 @@ timely:
|
||||
bufferSize: 52428800
|
||||
scan:
|
||||
threads: 4
|
||||
max-downsample-memory: 10000000
|
||||
security:
|
||||
session-max-age: 86400
|
||||
allow-anonymous-access: false
|
||||
|
||||
+1
-1
@@ -5,7 +5,7 @@
|
||||
<parent>
|
||||
<groupId>timely</groupId>
|
||||
<artifactId>timely</artifactId>
|
||||
<version>0.0.6-SNAPSHOT</version>
|
||||
<version>1.0.0</version>
|
||||
</parent>
|
||||
<dependencies>
|
||||
<dependency>
|
||||
|
||||
@@ -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 {
|
||||
|
||||
@@ -9,12 +9,15 @@ import org.apache.accumulo.core.data.Value;
|
||||
import org.apache.accumulo.core.security.ColumnVisibility;
|
||||
import org.apache.accumulo.core.util.ComparablePair;
|
||||
import org.apache.accumulo.core.util.Pair;
|
||||
import org.apache.hadoop.io.Text;
|
||||
import timely.model.Metric;
|
||||
import timely.model.Tag;
|
||||
import timely.model.parse.TagListParser;
|
||||
import timely.model.parse.TagParser;
|
||||
|
||||
import java.nio.ByteBuffer;
|
||||
import java.nio.charset.Charset;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Collections;
|
||||
import java.util.List;
|
||||
import java.util.Optional;
|
||||
@@ -28,16 +31,43 @@ public class MetricAdapter {
|
||||
private static final PairLexicoder<String, Long> rowCoder = new PairLexicoder<>(new StringLexicoder(),
|
||||
new LongLexicoder());
|
||||
|
||||
private static final PairLexicoder<Long, String> colQualCoder = new PairLexicoder<>(new LongLexicoder(),
|
||||
new StringLexicoder());
|
||||
|
||||
private static final TagParser tagParser = new TagParser();
|
||||
private static final TagListParser tagListParser = new TagListParser();
|
||||
|
||||
public static final ColumnVisibility EMPTY_VISIBILITY = new ColumnVisibility();
|
||||
public static final String VISIBILITY_TAG = "viz";
|
||||
|
||||
public static long roundTimestampToLastHour(long timestamp) {
|
||||
return timestamp - (timestamp % 3600000);
|
||||
}
|
||||
|
||||
public static long roundTimestampToNextHour(long timestamp) {
|
||||
return timestamp - (timestamp % 3600000) + 3600000;
|
||||
}
|
||||
|
||||
private static List<Tag> escapeDelimiters(List<Tag> tags) {
|
||||
List<Tag> newTags = new ArrayList<>();
|
||||
for (Tag t : tags) {
|
||||
// escape all commas and equals in the tag key and value since they
|
||||
// are used as a delimiter
|
||||
String k = t.getKey();
|
||||
String v = t.getValue();
|
||||
k = k.replaceAll("=", "\\=");
|
||||
k = k.replaceAll(",", "\\,");
|
||||
v = v.replaceAll("=", "\\=");
|
||||
v = v.replaceAll(",", "\\,");
|
||||
newTags.add(new Tag(k, v));
|
||||
}
|
||||
return newTags;
|
||||
}
|
||||
|
||||
public static Mutation toMutation(Metric metric) {
|
||||
final Mutation mutation = new Mutation(encodeRowKey(metric));
|
||||
|
||||
List<Tag> tags = metric.getTags();
|
||||
tags = escapeDelimiters(tags);
|
||||
Collections.sort(tags);
|
||||
|
||||
for (final Tag entry : tags) {
|
||||
@@ -51,8 +81,9 @@ public class MetricAdapter {
|
||||
.map(Tag::join)
|
||||
.collect(Collectors.joining(","));
|
||||
// @formatter:on
|
||||
|
||||
mutation.put(cf, cq, extractVisibility(tags), metric.getValue().getTimestamp(), extractValue(metric));
|
||||
byte[] cqBytes = encodeColQual(metric.getValue().getTimestamp(), cq);
|
||||
mutation.put(new Text(cf.getBytes(Charset.forName("UTF-8"))), new Text(cqBytes), extractVisibility(tags),
|
||||
metric.getValue().getTimestamp(), extractValue(metric));
|
||||
}
|
||||
return mutation;
|
||||
}
|
||||
@@ -87,10 +118,11 @@ public class MetricAdapter {
|
||||
// @formatter:off
|
||||
Metric.Builder builder = Metric.newBuilder()
|
||||
.name(row.getFirst())
|
||||
.value(row.getSecond(), ByteBuffer.wrap(v.get()).getDouble())
|
||||
.value(k.getTimestamp(), ByteBuffer.wrap(v.get()).getDouble())
|
||||
.tag(tagParser.parse(k.getColumnFamily().toString()));
|
||||
// @formatter:on
|
||||
tagListParser.parse(k.getColumnQualifier().toString()).forEach(builder::tag);
|
||||
ComparablePair<Long, String> cq = colQualCoder.decode(k.getColumnQualifier().getBytes());
|
||||
tagListParser.parse(cq.getSecond()).forEach(builder::tag);
|
||||
if (includeVizTag && k.getColumnVisibility().getLength() > 0) {
|
||||
tagListParser.parse("viz=" + k.getColumnVisibility().toString()).forEach(builder::tag);
|
||||
}
|
||||
@@ -106,7 +138,16 @@ public class MetricAdapter {
|
||||
}
|
||||
|
||||
public static byte[] encodeRowKey(Metric metric) {
|
||||
return encodeRowKey(metric.getName(), metric.getValue().getTimestamp());
|
||||
// round timestamp to hour for scan efficiency and compression
|
||||
return encodeRowKey(metric.getName(), roundTimestampToLastHour(metric.getValue().getTimestamp()));
|
||||
}
|
||||
|
||||
public static byte[] encodeColQual(Long timestamp, String colQual) {
|
||||
return colQualCoder.encode(new ComparablePair<>(timestamp, colQual));
|
||||
}
|
||||
|
||||
public static Pair<Long, String> decodeColQual(byte[] colQual) {
|
||||
return colQualCoder.decode(colQual);
|
||||
}
|
||||
|
||||
public static Pair<String, Long> decodeRowKey(Key k) {
|
||||
|
||||
@@ -54,7 +54,12 @@ public class MetricRequest implements TcpRequest, HttpPostRequest, WebSocketRequ
|
||||
@Override
|
||||
public void parse(String line) {
|
||||
LOG.trace("Parsing Line: {}", line);
|
||||
metric = metricParser.parse(line);
|
||||
try {
|
||||
metric = metricParser.parse(line);
|
||||
} catch (Exception e) {
|
||||
LOG.error("Error parsing metric: {}", line);
|
||||
throw e;
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
|
||||
@@ -2,9 +2,9 @@ package timely.api.response.timeseries;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.HashMap;
|
||||
import java.util.LinkedHashMap;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.TreeMap;
|
||||
|
||||
import org.apache.commons.lang3.builder.ToStringBuilder;
|
||||
|
||||
@@ -13,7 +13,7 @@ public class QueryResponse {
|
||||
private String metric;
|
||||
private Map<String, String> tags = new HashMap<>();
|
||||
private List<String> aggregatedTags = new ArrayList<>();
|
||||
private Map<String, Object> dps = new TreeMap<>();
|
||||
private Map<String, Object> dps = new LinkedHashMap<>();
|
||||
|
||||
public String getMetric() {
|
||||
return metric;
|
||||
|
||||
@@ -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.slf4j.LoggerFactory;
|
||||
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;
|
||||
@@ -27,23 +26,36 @@ import timely.sample.DownsampleFactory;
|
||||
|
||||
public class DownsampleIterator extends WrappingIterator {
|
||||
|
||||
private static final org.slf4j.Logger LOG = LoggerFactory.getLogger(DownsampleIterator.class);
|
||||
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 DownsampleMemoryEstimator memoryEstimator = null;
|
||||
|
||||
@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 DownsampleMemoryEstimator(maxDownsampleMemory, start, period);
|
||||
|
||||
String aggClassname = options.get(AGGCLASS);
|
||||
Class<?> aggClass;
|
||||
try {
|
||||
@@ -56,26 +68,54 @@ 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()) {
|
||||
Key topKey = super.getTopKey();
|
||||
Value topValue = super.getTopValue();
|
||||
Metric metric = null;
|
||||
try {
|
||||
metric = MetricAdapter.parse(topKey, topValue);
|
||||
LOG.trace("entering hasTop() for metric=" + metric.toString());
|
||||
} catch (Exception e) {
|
||||
LOG.error("Error: {} parsing metric at key: {}", e.getMessage(), topKey.toString());
|
||||
}
|
||||
while (super.hasTop()) {
|
||||
topKey = super.getTopKey();
|
||||
topValue = super.getTopValue();
|
||||
try {
|
||||
value.put(tags, sample = factory.create());
|
||||
} catch (TimelyException e) {
|
||||
throw new RuntimeException(e);
|
||||
metric = MetricAdapter.parse(topKey, topValue);
|
||||
long timestamp = metric.getValue().getTimestamp();
|
||||
if (memoryEstimator.shouldReturnBasedOnMemoryUsage(timestamp, value)) {
|
||||
LOG.trace("returning current values - memory usage > " + memoryEstimator.maxDownsampleMemory
|
||||
+ " for metric=" + metric.toString());
|
||||
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());
|
||||
} catch (Exception e) {
|
||||
LOG.error("Error: {} parsing metric at key: {}", e.getMessage(), topKey.toString());
|
||||
}
|
||||
try {
|
||||
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);
|
||||
}
|
||||
LOG.trace("exiting hasTop() for metric=" + metric.toString());
|
||||
return last != null;
|
||||
} else {
|
||||
return false;
|
||||
}
|
||||
return last != null;
|
||||
}
|
||||
|
||||
@Override
|
||||
@@ -89,6 +129,9 @@ 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 +140,17 @@ 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);
|
||||
}
|
||||
|
||||
|
||||
@@ -0,0 +1,101 @@
|
||||
package timely.sample.iterators;
|
||||
|
||||
import timely.model.ObjectSizeOf;
|
||||
|
||||
import java.util.LinkedList;
|
||||
|
||||
public class DownsampleMemoryEstimator {
|
||||
|
||||
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.clear();
|
||||
percentageChecks.add(1l);
|
||||
percentageChecks.add(5l);
|
||||
percentageChecks.add(25l);
|
||||
percentageChecks.add(50l);
|
||||
percentageChecks.add(75l);
|
||||
percentageChecks.add(95l);
|
||||
}
|
||||
|
||||
public DownsampleMemoryEstimator(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 < 100 || bucketsCompleted == 10 || 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;
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -2,9 +2,12 @@ package timely.store;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Set;
|
||||
|
||||
import org.apache.accumulo.core.client.Scanner;
|
||||
|
||||
import org.apache.accumulo.core.client.TableNotFoundException;
|
||||
import org.apache.accumulo.core.data.Range;
|
||||
import timely.model.Metric;
|
||||
import timely.api.request.timeseries.QueryRequest;
|
||||
import timely.api.request.timeseries.SearchLookupRequest;
|
||||
@@ -13,6 +16,7 @@ import timely.api.response.TimelyException;
|
||||
import timely.api.response.timeseries.QueryResponse;
|
||||
import timely.api.response.timeseries.SearchLookupResponse;
|
||||
import timely.api.response.timeseries.SuggestResponse;
|
||||
import timely.model.Tag;
|
||||
|
||||
public interface DataStore {
|
||||
|
||||
@@ -26,6 +30,12 @@ public interface DataStore {
|
||||
|
||||
void flush() throws TimelyException;
|
||||
|
||||
long getAgeOffForMetric(String metricName);
|
||||
|
||||
List<Range> getQueryRanges(String metric, long start, long end, Set<Tag> colFamValues);
|
||||
|
||||
Set<Tag> getColumnFamilies(String metric, Map<String, String> tags) throws TableNotFoundException;
|
||||
|
||||
Scanner createScannerForMetric(String sessionId, String metric, Map<String, String> tags, long startTime,
|
||||
long endTime, int lag, int scannerBatchSize, int scannerReadAhead) throws TimelyException;
|
||||
|
||||
|
||||
@@ -5,6 +5,7 @@ import static org.apache.accumulo.core.conf.AccumuloConfiguration.getTimeInMilli
|
||||
import io.netty.handler.codec.http.HttpResponseStatus;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.nio.charset.Charset;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Arrays;
|
||||
import java.util.Collection;
|
||||
@@ -45,11 +46,7 @@ import org.apache.accumulo.core.client.TableExistsException;
|
||||
import org.apache.accumulo.core.client.TableNotFoundException;
|
||||
import org.apache.accumulo.core.client.ZooKeeperInstance;
|
||||
import org.apache.accumulo.core.client.security.tokens.PasswordToken;
|
||||
import org.apache.accumulo.core.data.Key;
|
||||
import org.apache.accumulo.core.data.Mutation;
|
||||
import org.apache.accumulo.core.data.PartialKey;
|
||||
import org.apache.accumulo.core.data.Range;
|
||||
import org.apache.accumulo.core.data.Value;
|
||||
import org.apache.accumulo.core.data.*;
|
||||
import org.apache.accumulo.core.iterators.IteratorUtil.IteratorScope;
|
||||
import org.apache.accumulo.core.iterators.user.RegExFilter;
|
||||
import org.apache.accumulo.core.security.Authorizations;
|
||||
@@ -125,6 +122,7 @@ 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 +147,7 @@ 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();
|
||||
@@ -312,7 +311,6 @@ public class DataStoreImpl implements DataStore {
|
||||
metaCache.addAll(toCache);
|
||||
}
|
||||
try {
|
||||
|
||||
batchWriter.get().addMutation(MetricAdapter.toMutation(metric));
|
||||
internalMetrics.incrementMetricKeysInserted(metric.getTags().size());
|
||||
} catch (MutationsRejectedException e) {
|
||||
@@ -464,13 +462,20 @@ public class DataStoreImpl implements DataStore {
|
||||
@Override
|
||||
public List<QueryResponse> query(QueryRequest msg) throws TimelyException {
|
||||
List<QueryResponse> result = new ArrayList<>();
|
||||
LOG.debug("Query request {}", msg);
|
||||
long startTs = msg.getStart();
|
||||
long endTs = msg.getEnd();
|
||||
StringBuilder metricList = new StringBuilder();
|
||||
try {
|
||||
long numResults = 0;
|
||||
long now = System.currentTimeMillis();
|
||||
for (SubQuery query : msg.getQueries()) {
|
||||
Map<Set<Tag>, List<Aggregation>> allSeries = new HashMap<>();
|
||||
String metric = query.getMetric();
|
||||
if (metricList.length() > 0) {
|
||||
metricList.append(",");
|
||||
}
|
||||
metricList.append(metric);
|
||||
BatchScanner scanner = connector.createBatchScanner(metricsTable, getSessionAuthorizations(msg),
|
||||
scannerThreads);
|
||||
try {
|
||||
@@ -484,10 +489,12 @@ public class DataStoreImpl implements DataStore {
|
||||
long endOfLastPeriod = (endDistanceFromDownSample > 0 ? endTs + downsample
|
||||
- endDistanceFromDownSample : endTs);
|
||||
|
||||
setQueryRange(scanner, metric, startOfFirstPeriod, endOfLastPeriod);
|
||||
List<String> tagOrder = prioritizeTags(query);
|
||||
List<String> tagOrder = prioritizeTags(query.getMetric(), query.getTags());
|
||||
Map<String, String> orderedTags = orderTags(tagOrder, query.getTags());
|
||||
setQueryColumns(scanner, metric, orderedTags);
|
||||
Set<Tag> colFamValues = getColumnFamilies(metric, orderedTags);
|
||||
List<Range> ranges = getQueryRanges(metric, startOfFirstPeriod, endOfLastPeriod, colFamValues);
|
||||
scanner.setRanges(ranges);
|
||||
setQueryColumns(scanner, metric, orderedTags, colFamValues);
|
||||
|
||||
if (query.isRate()) {
|
||||
LOG.trace("Adding rate iterator");
|
||||
@@ -506,7 +513,7 @@ 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);
|
||||
}
|
||||
|
||||
@@ -527,6 +534,7 @@ public class DataStoreImpl implements DataStore {
|
||||
// Aggregation
|
||||
Map<Set<Tag>, Aggregation> samples = AggregationIterator.decodeValue(encoded.getValue());
|
||||
for (Entry<Set<Tag>, Aggregation> entry : samples.entrySet()) {
|
||||
numResults++;
|
||||
Set<Tag> key = new HashSet<>();
|
||||
for (Tag tag : entry.getKey()) {
|
||||
if (query.getTags().keySet().contains(tag.getKey())) {
|
||||
@@ -546,10 +554,12 @@ public class DataStoreImpl implements DataStore {
|
||||
// TODO groupby here?
|
||||
long tsDivisor = msg.isMsResolution() ? 1 : 1000;
|
||||
for (Entry<Set<Tag>, List<Aggregation>> entry : allSeries.entrySet()) {
|
||||
numResults += entry.getValue().size();
|
||||
result.add(convertToQueryResponse(query, entry.getKey(), entry.getValue(), tsDivisor));
|
||||
}
|
||||
}
|
||||
LOG.debug("Query time: {}", (System.currentTimeMillis() - now));
|
||||
LOG.debug("Query time: {} duration: {} metrics: {} results: {}", (System.currentTimeMillis() - now),
|
||||
(endTs - startTs), metricList.toString(), numResults);
|
||||
internalMetrics.addQueryResponse(result.size(), (System.currentTimeMillis() - now));
|
||||
return result;
|
||||
} catch (ClassNotFoundException | IOException | TableNotFoundException ex) {
|
||||
@@ -577,10 +587,9 @@ public class DataStoreImpl implements DataStore {
|
||||
* @param query
|
||||
* @return ordered list of most specific to least specific tags in the query
|
||||
*/
|
||||
private List<String> prioritizeTags(SubQuery query) {
|
||||
private List<String> prioritizeTags(String metric, Map<String, String> tags) {
|
||||
// trivial cases
|
||||
Map<String, String> tags = query.getTags();
|
||||
if (tags.isEmpty()) {
|
||||
if (tags == null || tags.isEmpty()) {
|
||||
return Collections.emptyList();
|
||||
}
|
||||
if (tags.size() == 1) {
|
||||
@@ -588,7 +597,6 @@ public class DataStoreImpl implements DataStore {
|
||||
}
|
||||
// favor tags with fewer values
|
||||
Map<String, Integer> priority = new HashMap<>();
|
||||
String metric = query.getMetric();
|
||||
// Count matching tags
|
||||
updateMetricCounts();
|
||||
for (Entry<String, String> entry : tags.entrySet()) {
|
||||
@@ -644,8 +652,9 @@ public class DataStoreImpl implements DataStore {
|
||||
return !REGEX_TEST.matcher(value).matches();
|
||||
}
|
||||
|
||||
private void setQueryColumns(ScannerBase scanner, String metric, Map<String, String> tags)
|
||||
throws TableNotFoundException, TimelyException {
|
||||
public Set<Tag> getColumnFamilies(String metric, Map<String, String> requestedTags) throws TableNotFoundException {
|
||||
|
||||
Map<String, String> tags = (requestedTags == null) ? new LinkedHashMap<>() : requestedTags;
|
||||
LOG.trace("Looking for requested tags: {}", tags);
|
||||
Scanner meta = connector.createScanner(metaTable, Authorizations.EMPTY);
|
||||
Text start = new Text(Meta.VALUE_PREFIX + metric);
|
||||
@@ -708,24 +717,35 @@ public class DataStoreImpl implements DataStore {
|
||||
// matches
|
||||
// the pattern of the first tag in the query. The resulting set of tags
|
||||
// will be used to fetch specific columns from the metric table.
|
||||
Set<Tag> concrete = expandTagValues(first, knownKeyValues);
|
||||
if (concrete.size() == 0) {
|
||||
return expandTagValues(first, knownKeyValues);
|
||||
}
|
||||
|
||||
private void setQueryColumns(ScannerBase scanner, String metric, Map<String, String> tags, Set<Tag> colFamValues)
|
||||
throws TimelyException {
|
||||
|
||||
if (colFamValues.size() == 0) {
|
||||
throw new TimelyException(HttpResponseStatus.BAD_REQUEST.code(), "No matching tags", "No tags were found "
|
||||
+ " that matched the submitted tags. Please fix and retry");
|
||||
}
|
||||
LOG.trace("Found matching tags: {}", concrete);
|
||||
for (Tag tag : concrete) {
|
||||
LOG.trace("Found matching tags: {}", colFamValues);
|
||||
for (Tag tag : colFamValues) {
|
||||
Text colf = new Text(tag.getKey() + "=" + tag.getValue());
|
||||
scanner.fetchColumnFamily(colf);
|
||||
LOG.trace("Fetching metric table column family: {}", colf);
|
||||
}
|
||||
// Add the regular expression to filter the other tags
|
||||
int priority = 100;
|
||||
Iterator<Entry<String, String>> tagIter = tags.entrySet().iterator();
|
||||
// skip over first tag which was already expanded into colFamValues
|
||||
if (tagIter.hasNext()) {
|
||||
tagIter.next();
|
||||
}
|
||||
Entry<String, String> tag = null;
|
||||
while (tagIter.hasNext()) {
|
||||
Entry<String, String> tag = tagIter.next();
|
||||
tag = tagIter.next();
|
||||
LOG.trace("Adding regex filter for tag {}", tag);
|
||||
StringBuffer pattern = new StringBuffer();
|
||||
pattern.append("(^|.*,)");
|
||||
pattern.append("(^.*\\x00|.*,)");
|
||||
pattern.append(tag.getKey());
|
||||
pattern.append("=");
|
||||
pattern.append(tag.getValue());
|
||||
@@ -768,14 +788,55 @@ public class DataStoreImpl implements DataStore {
|
||||
return result;
|
||||
}
|
||||
|
||||
private void setQueryRange(BatchScanner scanner, String metric, long start, long end) {
|
||||
final byte[] start_row = MetricAdapter.encodeRowKey(metric, start);
|
||||
LOG.trace("Start key for metric {} and time {} is {}", metric, start, start_row);
|
||||
final byte[] end_row = MetricAdapter.encodeRowKey(metric, end);
|
||||
LOG.trace("End key for metric {} and time {} is {}", metric, end, end_row);
|
||||
Range range = new Range(new Text(start_row), new Text(end_row));
|
||||
LOG.trace("Set query range to {}", range);
|
||||
scanner.setRanges(Collections.singletonList(range));
|
||||
public List<Range> getQueryRanges(String metric, long start, long end, Set<Tag> colFamValues) {
|
||||
List<Range> ranges = new ArrayList<>();
|
||||
long beginRangeRounded = MetricAdapter.roundTimestampToLastHour(start);
|
||||
if (colFamValues.isEmpty()) {
|
||||
final byte[] start_row = MetricAdapter.encodeRowKey(metric, beginRangeRounded);
|
||||
Key startKey = new Key(new Text(start_row));
|
||||
LOG.trace("Start key for metric {} and time {} is {}", metric, beginRangeRounded, startKey.toStringNoTime());
|
||||
final byte[] end_row = MetricAdapter.encodeRowKey(metric, beginRangeRounded);
|
||||
Key endKey = new Key(new Text(end_row));
|
||||
LOG.trace("End key for metric {} and time {} is {}", metric, MetricAdapter.roundTimestampToNextHour(end),
|
||||
endKey.toStringNoTime());
|
||||
Range range = new Range(startKey, true, endKey, false);
|
||||
LOG.trace("Set query range to {}", range);
|
||||
ranges.add(range);
|
||||
} else {
|
||||
try {
|
||||
long lastBeginRangeRounded = MetricAdapter.roundTimestampToLastHour(end);
|
||||
while (beginRangeRounded <= lastBeginRangeRounded) {
|
||||
// use end timestamp of begin + 1 hour and one msec
|
||||
// except the last range where we use end + 1 msec
|
||||
long endRangeTimestamp = (beginRangeRounded == lastBeginRangeRounded) ? end + 1 : beginRangeRounded
|
||||
+ (1000 * 60 * 60) + 1;
|
||||
long beginRangeTimestamp = (beginRangeRounded == MetricAdapter.roundTimestampToLastHour(start)) ? start
|
||||
: beginRangeRounded;
|
||||
for (Tag t : colFamValues) {
|
||||
final byte[] start_row = MetricAdapter.encodeRowKey(metric, beginRangeRounded);
|
||||
Key startKey = new Key(new Text(start_row), new Text(t.join()
|
||||
.getBytes(Charset.forName("UTF-8"))), new Text(MetricAdapter.encodeColQual(
|
||||
beginRangeTimestamp, "")), new Text(new byte[0]), beginRangeTimestamp);
|
||||
LOG.trace("Start key for metric {} and time {} is {}", metric, beginRangeTimestamp,
|
||||
startKey.toStringNoTime());
|
||||
final byte[] end_row = MetricAdapter.encodeRowKey(metric, beginRangeRounded);
|
||||
Key endKey = new Key(new Text(end_row), new Text(t.join().getBytes(Charset.forName("UTF-8"))),
|
||||
new Text(MetricAdapter.encodeColQual(endRangeTimestamp, "")), new Text(new byte[0]),
|
||||
endRangeTimestamp);
|
||||
LOG.trace("End key for metric {} and time {} is {}", metric, beginRangeTimestamp,
|
||||
endKey.toStringNoTime());
|
||||
Range range = new Range(startKey, true, endKey, false);
|
||||
LOG.trace("Set query range to {}", range);
|
||||
ranges.add(range);
|
||||
}
|
||||
beginRangeRounded += (1000 * 60 * 60); // add an hour
|
||||
}
|
||||
} catch (Exception e) {
|
||||
LOG.error("Error creating query ranges", e);
|
||||
}
|
||||
}
|
||||
|
||||
return ranges;
|
||||
}
|
||||
|
||||
private Class<? extends Aggregator> getAggregator(SubQuery query) {
|
||||
@@ -836,7 +897,7 @@ public class DataStoreImpl implements DataStore {
|
||||
}
|
||||
}
|
||||
|
||||
private long getAgeOffForMetric(String metricName) {
|
||||
public long getAgeOffForMetric(String metricName) {
|
||||
String age = this.ageOff.get(MetricAgeOffIterator.AGE_OFF_PREFIX + metricName);
|
||||
if (null == age) {
|
||||
return this.defaultAgeOff;
|
||||
@@ -866,23 +927,13 @@ public class DataStoreImpl implements DataStore {
|
||||
if (null == metric) {
|
||||
throw new IllegalArgumentException("metric name must be specified");
|
||||
}
|
||||
if (0 == startTime) {
|
||||
startTime = (System.currentTimeMillis() - getAgeOffForMetric(metric) - 1000);
|
||||
LOG.debug("Overriding zero start time to {} due to age off configuration", startTime);
|
||||
if (tags == null) {
|
||||
tags = new LinkedHashMap<>();
|
||||
}
|
||||
byte[] start = MetricAdapter.encodeRowKey(metric, startTime);
|
||||
long endTimeStamp = (endTime == 0) ? (System.currentTimeMillis() - (lag * 1000)) : endTime;
|
||||
byte[] end = MetricAdapter.encodeRowKey(metric, endTimeStamp);
|
||||
s.setRange(new Range(new Text(start), true, new Text(end), false));
|
||||
SubQuery query = new SubQuery();
|
||||
query.setMetric(metric);
|
||||
if (null == tags) {
|
||||
tags = Collections.emptyMap();
|
||||
}
|
||||
query.setTags(tags);
|
||||
List<String> tagOrder = prioritizeTags(query);
|
||||
Map<String, String> orderedTags = orderTags(tagOrder, query.getTags());
|
||||
setQueryColumns(s, metric, orderedTags);
|
||||
List<String> tagOrder = prioritizeTags(metric, tags);
|
||||
Map<String, String> orderedTags = orderTags(tagOrder, tags);
|
||||
Set<Tag> colFamValues = getColumnFamilies(metric, orderedTags);
|
||||
setQueryColumns(s, metric, orderedTags, colFamValues);
|
||||
s.setBatchSize(scannerBatchSize);
|
||||
s.setReadaheadThreshold(scannerReadAhead);
|
||||
return s;
|
||||
|
||||
@@ -231,29 +231,33 @@ public class TimeSeriesGroupingIterator extends WrappingIterator {
|
||||
while (super.hasTop()) {
|
||||
Key k = super.getTopKey();
|
||||
|
||||
Long newTime = MetricAdapter.decodeRowKey(k).getSecond();
|
||||
Long newTime = k.getTimestamp();
|
||||
if (time == null) {
|
||||
time = newTime;
|
||||
}
|
||||
if (time.equals(newTime)) {
|
||||
|
||||
Metric m = MetricAdapter.parse(k, super.getTopValue());
|
||||
timely.model.Value v = m.getValue();
|
||||
m.setValue(null);
|
||||
try {
|
||||
Metric m = MetricAdapter.parse(k, super.getTopValue());
|
||||
timely.model.Value v = m.getValue();
|
||||
m.setValue(null);
|
||||
|
||||
TimeSeries values = series.get(m);
|
||||
if (null == values) {
|
||||
LOG.trace("Creating new time series {}", m);
|
||||
values = new TimeSeries(this, filters.length);
|
||||
TimeSeries values = series.get(m);
|
||||
if (null == values) {
|
||||
LOG.trace("Creating new time series {}", m);
|
||||
values = new TimeSeries(this, filters.length);
|
||||
}
|
||||
|
||||
LOG.trace("Adding value {} to series {}", v.getMeasure(), m);
|
||||
values.add(k, v.getMeasure());
|
||||
|
||||
// always re-put the metric back into the TimeSeriesGroup as
|
||||
// it
|
||||
// maintains a list of prepared answers
|
||||
series.put(m, values);
|
||||
} catch (Exception e) {
|
||||
LOG.error("Error: {} parsing metric at key: {}", e.getMessage(), k.toString());
|
||||
}
|
||||
|
||||
LOG.trace("Adding value {} to series {}", v.getMeasure(), m);
|
||||
values.add(k, v.getMeasure());
|
||||
|
||||
// always re-put the metric back into the TimeSeriesGroup as it
|
||||
// maintains a list of prepared answers
|
||||
series.put(m, values);
|
||||
|
||||
super.next();
|
||||
} else {
|
||||
break;
|
||||
|
||||
@@ -2,16 +2,20 @@ package timely.subscription;
|
||||
|
||||
import static com.google.common.util.concurrent.Uninterruptibles.sleepUninterruptibly;
|
||||
import io.netty.channel.ChannelHandlerContext;
|
||||
import io.netty.handler.codec.http.HttpResponseStatus;
|
||||
import io.netty.handler.codec.http.websocketx.TextWebSocketFrame;
|
||||
import io.netty.util.concurrent.ScheduledFuture;
|
||||
|
||||
import java.lang.Thread.UncaughtExceptionHandler;
|
||||
import java.util.Iterator;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Map.Entry;
|
||||
import java.util.Set;
|
||||
import java.util.concurrent.TimeUnit;
|
||||
|
||||
import org.apache.accumulo.core.client.Scanner;
|
||||
import org.apache.accumulo.core.client.TableNotFoundException;
|
||||
import org.apache.accumulo.core.data.Key;
|
||||
import org.apache.accumulo.core.data.Range;
|
||||
import org.apache.accumulo.core.data.Value;
|
||||
@@ -25,6 +29,7 @@ import timely.api.response.MetricResponse;
|
||||
import timely.api.response.MetricResponses;
|
||||
import timely.api.response.TimelyException;
|
||||
import timely.model.Metric;
|
||||
import timely.model.Tag;
|
||||
import timely.store.DataStore;
|
||||
import timely.util.JsonUtil;
|
||||
|
||||
@@ -45,11 +50,16 @@ public class MetricScanner extends Thread implements UncaughtExceptionHandler {
|
||||
private final int lag;
|
||||
private final String subscriptionId;
|
||||
private final String metric;
|
||||
private final long endTime;
|
||||
private long startTime;
|
||||
private long endTime;
|
||||
private final Subscription subscription;
|
||||
private MetricResponses responses = new MetricResponses();
|
||||
private final ScheduledFuture<?> flusher;
|
||||
private final int subscriptionBatchSize;
|
||||
private List<Range> ranges = null;
|
||||
private Iterator<Range> rangeItr = null;
|
||||
private DataStore store = null;
|
||||
private Set<Tag> colFamValues = null;
|
||||
|
||||
public MetricScanner(Subscription sub, String subscriptionId, String sessionId, DataStore store, String metric,
|
||||
Map<String, String> tags, long startTime, long endTime, long delay, int lag, ChannelHandlerContext ctx,
|
||||
@@ -57,13 +67,34 @@ public class MetricScanner extends Thread implements UncaughtExceptionHandler {
|
||||
throws TimelyException {
|
||||
this.setDaemon(true);
|
||||
this.setUncaughtExceptionHandler(this);
|
||||
this.store = store;
|
||||
this.subscription = sub;
|
||||
this.ctx = ctx;
|
||||
this.lag = lag;
|
||||
this.metric = metric;
|
||||
this.startTime = startTime;
|
||||
this.endTime = endTime;
|
||||
this.scanner = store.createScannerForMetric(sessionId, metric, tags, startTime, endTime, lag, scannerBatchSize,
|
||||
scannerReadAhead);
|
||||
this.scanner = this.store.createScannerForMetric(sessionId, metric, tags, startTime, endTime, lag,
|
||||
scannerBatchSize, scannerReadAhead);
|
||||
|
||||
if (0 == startTime) {
|
||||
this.startTime = (System.currentTimeMillis() - this.store.getAgeOffForMetric(metric) - 1000);
|
||||
LOG.debug("Overriding zero start time to {} due to age off configuration", startTime);
|
||||
}
|
||||
long endTimeStamp = (endTime == 0) ? (System.currentTimeMillis() - (lag * 1000)) : endTime;
|
||||
|
||||
try {
|
||||
this.colFamValues = this.store.getColumnFamilies(metric, tags);
|
||||
ranges = this.store.getQueryRanges(metric, this.startTime, endTimeStamp, colFamValues);
|
||||
rangeItr = ranges.iterator();
|
||||
if (rangeItr.hasNext()) {
|
||||
Range r = rangeItr.next();
|
||||
this.scanner.setRange(r);
|
||||
}
|
||||
} catch (TableNotFoundException e) {
|
||||
throw new TimelyException(HttpResponseStatus.INTERNAL_SERVER_ERROR.code(), "Error in MetricScanner",
|
||||
e.getMessage(), e);
|
||||
}
|
||||
this.iter = scanner.iterator();
|
||||
this.delay = delay;
|
||||
this.subscriptionId = subscriptionId;
|
||||
@@ -86,6 +117,7 @@ public class MetricScanner extends Thread implements UncaughtExceptionHandler {
|
||||
}
|
||||
|
||||
public synchronized void flush() {
|
||||
LOG.info("Flush called");
|
||||
synchronized (responses) {
|
||||
if (responses.size() > 0) {
|
||||
try {
|
||||
@@ -103,48 +135,69 @@ public class MetricScanner extends Thread implements UncaughtExceptionHandler {
|
||||
public void run() {
|
||||
Metric m = null;
|
||||
try {
|
||||
while (!closed) {
|
||||
boolean done = false;
|
||||
while (!done && !closed) {
|
||||
|
||||
if (this.iter.hasNext()) {
|
||||
Entry<Key, Value> e = this.iter.next();
|
||||
m = MetricAdapter.parse(e.getKey(), e.getValue(), true);
|
||||
if (responses.size() >= this.subscriptionBatchSize) {
|
||||
flush();
|
||||
try {
|
||||
m = MetricAdapter.parse(e.getKey(), e.getValue(), true);
|
||||
if (responses.size() >= this.subscriptionBatchSize) {
|
||||
flush();
|
||||
}
|
||||
this.responses.addResponse(MetricResponse.fromMetric(m, this.subscriptionId));
|
||||
} catch (Exception e1) {
|
||||
LOG.error("Error {} parsing metric at key: {}", e1.getMessage(), e.getKey().toString());
|
||||
}
|
||||
this.responses.addResponse(MetricResponse.fromMetric(m, this.subscriptionId));
|
||||
} else if (rangeItr.hasNext()) {
|
||||
// set next range on the scanner
|
||||
Range r = rangeItr.next();
|
||||
this.scanner.close();
|
||||
this.scanner.setRange(r);
|
||||
this.iter = scanner.iterator();
|
||||
} else if (this.endTime == 0) {
|
||||
flush();
|
||||
long endTimeStamp = (System.currentTimeMillis() - (lag * 1000));
|
||||
byte[] end = MetricAdapter.encodeRowKey(this.metric, endTimeStamp);
|
||||
Text endRow = new Text(end);
|
||||
this.scanner.close();
|
||||
Range prevRange = this.scanner.getRange();
|
||||
if (null == m) {
|
||||
LOG.debug("No results found, waiting {}ms to retry with new end time {}.", delay, endTimeStamp);
|
||||
sleepUninterruptibly(delay, TimeUnit.MILLISECONDS);
|
||||
this.scanner.setRange(new Range(prevRange.getStartKey().getRow(), prevRange
|
||||
.isStartKeyInclusive(), endRow, false));
|
||||
this.iter = this.scanner.iterator();
|
||||
ranges = this.store.getQueryRanges(metric, startTime, endTimeStamp, colFamValues);
|
||||
rangeItr = ranges.iterator();
|
||||
if (rangeItr.hasNext()) {
|
||||
Range r = rangeItr.next();
|
||||
this.scanner.setRange(r);
|
||||
this.iter = scanner.iterator();
|
||||
}
|
||||
} else {
|
||||
// Reset the starting range to the last key returned
|
||||
LOG.debug("Exhausted scanner, last metric returned was {}", m);
|
||||
LOG.debug("Waiting {}ms to retry with new end time {}.", delay, endTimeStamp);
|
||||
sleepUninterruptibly(delay, TimeUnit.MILLISECONDS);
|
||||
this.scanner.setRange(new Range(new Text(MetricAdapter.encodeRowKey(m)), false, endRow,
|
||||
prevRange.isEndKeyInclusive()));
|
||||
this.iter = this.scanner.iterator();
|
||||
ranges = this.store.getQueryRanges(metric, m.getValue().getTimestamp() + 1, endTimeStamp,
|
||||
colFamValues);
|
||||
rangeItr = ranges.iterator();
|
||||
if (rangeItr.hasNext()) {
|
||||
Range r = rangeItr.next();
|
||||
this.scanner.setRange(r);
|
||||
this.iter = this.scanner.iterator();
|
||||
} else {
|
||||
done = true;
|
||||
}
|
||||
}
|
||||
} else {
|
||||
done = true;
|
||||
}
|
||||
if (done) {
|
||||
LOG.debug("Exhausted scanner, sending completed message for subscription {}", this.subscriptionId);
|
||||
final MetricResponse last = new MetricResponse();
|
||||
last.setSubscriptionId(this.subscriptionId);
|
||||
last.setComplete(true);
|
||||
this.responses.addResponse(last);
|
||||
flush();
|
||||
break;
|
||||
}
|
||||
}
|
||||
} catch (Exception e) {
|
||||
} catch (Throwable e) {
|
||||
LOG.error("Error in metric scanner, closing.", e);
|
||||
} finally {
|
||||
close();
|
||||
|
||||
@@ -15,6 +15,8 @@ public class TimelyMetricsFormatter extends DefaultFormatter {
|
||||
|
||||
private static final PairLexicoder<String, Long> rowCoder = new PairLexicoder<>(new StringLexicoder(),
|
||||
new LongLexicoder());
|
||||
private static final PairLexicoder<Long, String> colQualCoder = new PairLexicoder<>(new LongLexicoder(),
|
||||
new StringLexicoder());
|
||||
|
||||
@Override
|
||||
public String next() {
|
||||
@@ -25,7 +27,8 @@ public class TimelyMetricsFormatter extends DefaultFormatter {
|
||||
b.append(" ");
|
||||
b.append(e.getKey().getColumnFamily().toString());
|
||||
b.append(":");
|
||||
b.append(e.getKey().getColumnQualifier().toString());
|
||||
ComparablePair<Long, String> cq = colQualCoder.decode(e.getKey().getColumnQualifier().copyBytes());
|
||||
b.append(cq.getFirst()).append("\\x00").append(cq.getSecond());
|
||||
b.append(" ");
|
||||
b.append(e.getKey().getColumnVisibility().toString());
|
||||
if (super.isDoTimestamps()) {
|
||||
|
||||
@@ -42,28 +42,33 @@ public class MetricAdapterTest {
|
||||
Mutation mut = MetricAdapter.toMutation(m);
|
||||
|
||||
PairLexicoder<String, Long> rowCoder = new PairLexicoder<>(new StringLexicoder(), new LongLexicoder());
|
||||
byte[] row = rowCoder.encode(new ComparablePair<>("sys.cpu.user", ts));
|
||||
byte[] row = rowCoder.encode(new ComparablePair<>("sys.cpu.user", MetricAdapter.roundTimestampToLastHour(ts)));
|
||||
byte[] value = new byte[Double.BYTES];
|
||||
ByteBuffer.wrap(value).putDouble(2.0D);
|
||||
Assert.assertEquals(rowCoder.decode(row), rowCoder.decode(mut.getRow()));
|
||||
Assert.assertEquals(3, mut.getUpdates().size());
|
||||
ColumnUpdate up = mut.getUpdates().get(0);
|
||||
Assert.assertTrue(new String(up.getColumnFamily()).equals("tag1=value1"));
|
||||
Assert.assertTrue(new String(up.getColumnQualifier()).equals("tag2=value2,tag3=value3"));
|
||||
Assert.assertEquals("tag1=value1", new String(up.getColumnFamily()));
|
||||
PairLexicoder<Long, String> colQualCoder = new PairLexicoder<>(new LongLexicoder(), new StringLexicoder());
|
||||
Assert.assertEquals(new String(colQualCoder.encode(new ComparablePair<>(ts, "tag2=value2,tag3=value3"))),
|
||||
new String(up.getColumnQualifier()));
|
||||
|
||||
Assert.assertEquals(ts, up.getTimestamp());
|
||||
Assert.assertTrue(new String(up.getColumnVisibility()).equals(""));
|
||||
Assert.assertEquals("", new String(new String(up.getColumnVisibility())));
|
||||
Assert.assertArrayEquals(value, up.getValue());
|
||||
ColumnUpdate up2 = mut.getUpdates().get(1);
|
||||
Assert.assertTrue(new String(up2.getColumnFamily()).equals("tag2=value2"));
|
||||
Assert.assertTrue(new String(up2.getColumnQualifier()).equals("tag1=value1,tag3=value3"));
|
||||
Assert.assertEquals("tag2=value2", new String(up2.getColumnFamily()));
|
||||
Assert.assertEquals(new String(colQualCoder.encode(new ComparablePair<>(ts, "tag1=value1,tag3=value3"))),
|
||||
new String(up2.getColumnQualifier()));
|
||||
Assert.assertEquals(ts, up2.getTimestamp());
|
||||
Assert.assertTrue(new String(up2.getColumnVisibility()).equals(""));
|
||||
Assert.assertEquals("", new String(up2.getColumnVisibility()));
|
||||
Assert.assertArrayEquals(value, up.getValue());
|
||||
ColumnUpdate up3 = mut.getUpdates().get(2);
|
||||
Assert.assertTrue(new String(up3.getColumnFamily()).equals("tag3=value3"));
|
||||
Assert.assertTrue(new String(up3.getColumnQualifier()).equals("tag1=value1,tag2=value2"));
|
||||
Assert.assertEquals("tag3=value3", new String(up3.getColumnFamily()));
|
||||
Assert.assertEquals(new String(colQualCoder.encode(new ComparablePair<>(ts, "tag1=value1,tag2=value2"))),
|
||||
new String(up3.getColumnQualifier()));
|
||||
Assert.assertEquals(ts, up3.getTimestamp());
|
||||
Assert.assertTrue(new String(up3.getColumnVisibility()).equals(""));
|
||||
Assert.assertEquals("", new String(up3.getColumnVisibility()));
|
||||
Assert.assertArrayEquals(value, up.getValue());
|
||||
}
|
||||
|
||||
@@ -78,14 +83,16 @@ public class MetricAdapterTest {
|
||||
Mutation mut = MetricAdapter.toMutation(m);
|
||||
|
||||
PairLexicoder<String, Long> rowCoder = new PairLexicoder<>(new StringLexicoder(), new LongLexicoder());
|
||||
byte[] row = rowCoder.encode(new ComparablePair<>("sys.cpu.user", ts));
|
||||
byte[] row = rowCoder.encode(new ComparablePair<>("sys.cpu.user", MetricAdapter.roundTimestampToLastHour(ts)));
|
||||
byte[] value = new byte[Double.BYTES];
|
||||
ByteBuffer.wrap(value).putDouble(2.0D);
|
||||
Assert.assertEquals(rowCoder.decode(row), rowCoder.decode(mut.getRow()));
|
||||
Assert.assertEquals(1, mut.getUpdates().size());
|
||||
ColumnUpdate up = mut.getUpdates().get(0);
|
||||
Assert.assertEquals("tag1=value1", new String(up.getColumnFamily()));
|
||||
Assert.assertEquals("", new String(up.getColumnQualifier()));
|
||||
PairLexicoder<Long, String> colQualCoder = new PairLexicoder<>(new LongLexicoder(), new StringLexicoder());
|
||||
Assert.assertEquals(new String(colQualCoder.encode(new ComparablePair<>(ts, ""))),
|
||||
new String(up.getColumnQualifier()));
|
||||
Assert.assertEquals(ts, up.getTimestamp());
|
||||
Assert.assertEquals("(a&b)|(c&d)", new String(up.getColumnVisibility()));
|
||||
Assert.assertArrayEquals(value, up.getValue());
|
||||
@@ -110,8 +117,9 @@ public class MetricAdapterTest {
|
||||
byte[] row = rowCoder.encode(new ComparablePair<>("sys.cpu.user", 1000L));
|
||||
byte[] value = new byte[Double.BYTES];
|
||||
ByteBuffer.wrap(value).putDouble(2.0D);
|
||||
Key k = new Key(row, "tag1=value1".getBytes(), "tag2=value2,tag3=value3".getBytes(), "(a&b)|(c&d)".getBytes(),
|
||||
1000);
|
||||
PairLexicoder<Long, String> colQualCoder = new PairLexicoder<>(new LongLexicoder(), new StringLexicoder());
|
||||
Key k = new Key(row, "tag1=value1".getBytes(), colQualCoder.encode(new ComparablePair<>(new Long(1000),
|
||||
"tag2=value2,tag3=value3")), "(a&b)|(c&d)".getBytes(), 1000);
|
||||
Value v = new Value(value);
|
||||
Metric m = MetricAdapter.parse(k, v);
|
||||
Assert.assertEquals("sys.cpu.user", m.getName());
|
||||
@@ -124,14 +132,36 @@ public class MetricAdapterTest {
|
||||
Assert.assertEquals(2.0D, m.getValue().getMeasure(), 0.0D);
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testParseWithEscapes() throws Exception {
|
||||
PairLexicoder<String, Long> rowCoder = new PairLexicoder<>(new StringLexicoder(), new LongLexicoder());
|
||||
byte[] row = rowCoder.encode(new ComparablePair<>("sys.cpu.user", 1000L));
|
||||
byte[] value = new byte[Double.BYTES];
|
||||
ByteBuffer.wrap(value).putDouble(2.0D);
|
||||
PairLexicoder<Long, String> colQualCoder = new PairLexicoder<>(new LongLexicoder(), new StringLexicoder());
|
||||
Key k = new Key(row, "tag1=value1".getBytes(), colQualCoder.encode(new ComparablePair<>(new Long(1000),
|
||||
"tag2=test\\,value2,tag3=val\\=ue3")), "(a&b)|(c&d)".getBytes(), 1000);
|
||||
Value v = new Value(value);
|
||||
Metric m = MetricAdapter.parse(k, v);
|
||||
Assert.assertEquals("sys.cpu.user", m.getName());
|
||||
List<Tag> tags = new ArrayList<>();
|
||||
tags.add(new Tag("tag1=value1"));
|
||||
tags.add(new Tag("tag2=test,value2"));
|
||||
tags.add(new Tag("tag3=val\\=ue3"));
|
||||
Assert.assertEquals(tags, m.getTags());
|
||||
Assert.assertEquals(new Long(1000), m.getValue().getTimestamp());
|
||||
Assert.assertEquals(2.0D, m.getValue().getMeasure(), 0.0D);
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testParseWithViz() throws Exception {
|
||||
PairLexicoder<String, Long> rowCoder = new PairLexicoder<>(new StringLexicoder(), new LongLexicoder());
|
||||
byte[] row = rowCoder.encode(new ComparablePair<>("sys.cpu.user", 1000L));
|
||||
byte[] value = new byte[Double.BYTES];
|
||||
ByteBuffer.wrap(value).putDouble(2.0D);
|
||||
Key k = new Key(row, "tag1=value1".getBytes(), "tag2=value2,tag3=value3".getBytes(), "(a&b)|(c&d)".getBytes(),
|
||||
1000);
|
||||
PairLexicoder<Long, String> colQualCoder = new PairLexicoder<>(new LongLexicoder(), new StringLexicoder());
|
||||
Key k = new Key(row, "tag1=value1".getBytes(), colQualCoder.encode(new ComparablePair<>(new Long(1000),
|
||||
"tag2=value2,tag3=value3")), "(a&b)|(c&d)".getBytes(), 1000);
|
||||
Value v = new Value(value);
|
||||
Metric m = MetricAdapter.parse(k, v, true);
|
||||
Assert.assertEquals("sys.cpu.user", m.getName());
|
||||
|
||||
@@ -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;
|
||||
@@ -57,6 +54,7 @@ public class DownsampleIteratorTest {
|
||||
for (ColumnUpdate cu : mutation.getUpdates()) {
|
||||
Key key = new Key(mutation.getRow(), cu.getColumnFamily(), cu.getColumnQualifier(),
|
||||
cu.getColumnVisibility(), cu.getTimestamp());
|
||||
System.out.println(key.toString());
|
||||
testData1.put(key, new Value(cu.getValue()));
|
||||
}
|
||||
}
|
||||
@@ -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 +147,142 @@ 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();
|
||||
DownsampleMemoryEstimator memoryEstimator = new DownsampleMemoryEstimator(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();
|
||||
DownsampleMemoryEstimator memoryEstimator = new DownsampleMemoryEstimator(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();
|
||||
System.out.println(key.toString());
|
||||
} while (iter.hasTop());
|
||||
|
||||
assertEquals(testData.lastKey(), key);
|
||||
Map<Set<Tag>, Downsample> samples = DownsampleIterator.decodeValue(iter.getTopValue());
|
||||
return samples;
|
||||
}
|
||||
|
||||
|
||||
@@ -22,6 +22,7 @@ import timely.adapter.accumulo.MetricAdapter;
|
||||
import timely.api.request.timeseries.QueryRequest;
|
||||
import timely.model.Metric;
|
||||
import timely.model.Tag;
|
||||
import timely.store.DataStoreImpl;
|
||||
|
||||
public class RateIteratorTest extends IteratorTestBase {
|
||||
|
||||
@@ -38,7 +39,8 @@ public class RateIteratorTest extends IteratorTestBase {
|
||||
ts += 1000;
|
||||
Metric m = new Metric("sys.cpu.user", ts, i * 1.0D, tags);
|
||||
byte[] row = MetricAdapter.encodeRowKey(m);
|
||||
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
|
||||
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), MetricAdapter.encodeColQual(ts,
|
||||
""), new byte[0], ts);
|
||||
Value v = new Value(MetricAdapter.encodeValue(m.getValue().getMeasure()));
|
||||
table.put(k, v);
|
||||
}
|
||||
@@ -68,7 +70,8 @@ public class RateIteratorTest extends IteratorTestBase {
|
||||
ts += 1000 + r.nextInt(100);
|
||||
Metric m = new Metric("sys.cpu.user", ts, i * 1.0D, tags);
|
||||
byte[] row = MetricAdapter.encodeRowKey(m);
|
||||
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
|
||||
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), MetricAdapter.encodeColQual(ts,
|
||||
""), new byte[0], ts);
|
||||
Value v = new Value(MetricAdapter.encodeValue(m.getValue().getMeasure()));
|
||||
table.put(k, v);
|
||||
}
|
||||
@@ -113,7 +116,8 @@ public class RateIteratorTest extends IteratorTestBase {
|
||||
ts += 1000;
|
||||
Metric m = new Metric("sys.cpu.user", ts, i * 1.0D, tags);
|
||||
byte[] row = MetricAdapter.encodeRowKey(m);
|
||||
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
|
||||
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), MetricAdapter.encodeColQual(
|
||||
ts, ""), new byte[0], ts);
|
||||
Value v = new Value(MetricAdapter.encodeValue(m.getValue().getMeasure()));
|
||||
table.put(k, v);
|
||||
}
|
||||
@@ -147,7 +151,8 @@ public class RateIteratorTest extends IteratorTestBase {
|
||||
ts += 1000;
|
||||
Metric m = new Metric("sys.cpu.user", ts, i * 1.0D, tags);
|
||||
byte[] row = MetricAdapter.encodeRowKey(m);
|
||||
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
|
||||
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), MetricAdapter.encodeColQual(
|
||||
ts, ""), new byte[0], ts);
|
||||
Value v = new Value(MetricAdapter.encodeValue(m.getValue().getMeasure()));
|
||||
table.put(k, v);
|
||||
}
|
||||
@@ -181,7 +186,8 @@ public class RateIteratorTest extends IteratorTestBase {
|
||||
ts += 1000;
|
||||
Metric m = new Metric("sys.cpu.user", ts, i * 1.0D, tags);
|
||||
byte[] row = MetricAdapter.encodeRowKey(m);
|
||||
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
|
||||
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), MetricAdapter.encodeColQual(
|
||||
ts, ""), new byte[0], ts);
|
||||
Value v = new Value(MetricAdapter.encodeValue(m.getValue().getMeasure()));
|
||||
table.put(k, v);
|
||||
}
|
||||
|
||||
@@ -6,10 +6,7 @@ import static org.junit.Assert.assertTrue;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.nio.charset.StandardCharsets;
|
||||
import java.util.ArrayList;
|
||||
import java.util.LinkedList;
|
||||
import java.util.List;
|
||||
import java.util.TreeMap;
|
||||
import java.util.*;
|
||||
|
||||
import org.apache.accumulo.core.client.IteratorSetting;
|
||||
import org.apache.accumulo.core.data.Key;
|
||||
@@ -43,7 +40,8 @@ public class TimeSeriesGroupingIteratorTest extends IteratorTestBase {
|
||||
ts += 1000;
|
||||
Metric m = new Metric("sys.cpu.user", ts, i * 1.0D, tags);
|
||||
byte[] row = MetricAdapter.encodeRowKey(m);
|
||||
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
|
||||
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), MetricAdapter.encodeColQual(ts,
|
||||
""), new byte[0], ts);
|
||||
Value v = new Value(MetricAdapter.encodeValue(m.getValue().getMeasure()));
|
||||
table.put(k, v);
|
||||
}
|
||||
@@ -92,12 +90,14 @@ public class TimeSeriesGroupingIteratorTest extends IteratorTestBase {
|
||||
ts += 1000;
|
||||
Metric m = new Metric("sys.cpu.user", ts, i * 1.0D, tags1);
|
||||
byte[] row = MetricAdapter.encodeRowKey(m);
|
||||
Key k = new Key(row, tags1.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
|
||||
Key k = new Key(row, tags1.get(0).join().getBytes(StandardCharsets.UTF_8), MetricAdapter.encodeColQual(ts,
|
||||
""), new byte[0], ts);
|
||||
Value v = new Value(MetricAdapter.encodeValue(m.getValue().getMeasure()));
|
||||
table.put(k, v);
|
||||
Metric m2 = new Metric("sys.cpu.user", ts, i * 2.0D, tags2);
|
||||
byte[] row2 = MetricAdapter.encodeRowKey(m2);
|
||||
Key k2 = new Key(row2, tags2.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
|
||||
Key k2 = new Key(row2, tags2.get(0).join().getBytes(StandardCharsets.UTF_8), MetricAdapter.encodeColQual(
|
||||
ts, ""), new byte[0], ts);
|
||||
Value v2 = new Value(MetricAdapter.encodeValue(m2.getValue().getMeasure()));
|
||||
table.put(k2, v2);
|
||||
}
|
||||
@@ -108,8 +108,12 @@ public class TimeSeriesGroupingIteratorTest extends IteratorTestBase {
|
||||
iter.init(source, settings.getOptions(), SCAN_IE);
|
||||
iter.seek(new Range(), EMPTY_COL_FAMS, true);
|
||||
|
||||
// this section changed when the key structure changed so that identical
|
||||
// colFam values sorted consecutively within an given time period
|
||||
for (int i = 4; i < 100; i++) {
|
||||
checkNextResult(iter, new double[] { i - 4, i - 3, i - 2, i - 1, i });
|
||||
}
|
||||
for (int i = 4; i < 100; i++) {
|
||||
checkNextResult(iter, new double[] { (i - 4) * 2, (i - 3) * 2, (i - 2) * 2, (i - 1) * 2, i * 2 });
|
||||
}
|
||||
assertFalse(iter.hasTop());
|
||||
@@ -128,19 +132,21 @@ public class TimeSeriesGroupingIteratorTest extends IteratorTestBase {
|
||||
ts += 1000;
|
||||
Metric m = new Metric("sys.cpu.user", ts, i * 1.0D, tags1);
|
||||
byte[] row = MetricAdapter.encodeRowKey(m);
|
||||
Key k = new Key(row, tags1.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
|
||||
Key k = new Key(row, tags1.get(0).join().getBytes(StandardCharsets.UTF_8), MetricAdapter.encodeColQual(ts,
|
||||
""), new byte[0], ts);
|
||||
Value v = new Value(MetricAdapter.encodeValue(m.getValue().getMeasure()));
|
||||
table.put(k, v);
|
||||
if (i < 50) {
|
||||
// only populate this series 50 times
|
||||
Metric m2 = new Metric("sys.cpu.user", ts, i * 2.0D, tags2);
|
||||
byte[] row2 = MetricAdapter.encodeRowKey(m2);
|
||||
Key k2 = new Key(row2, tags2.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0],
|
||||
ts);
|
||||
Key k2 = new Key(row2, tags2.get(0).join().getBytes(StandardCharsets.UTF_8),
|
||||
MetricAdapter.encodeColQual(ts, ""), new byte[0], ts);
|
||||
Value v2 = new Value(MetricAdapter.encodeValue(m2.getValue().getMeasure()));
|
||||
table.put(k2, v2);
|
||||
}
|
||||
}
|
||||
|
||||
SortedMapIterator source = new SortedMapIterator(table);
|
||||
TimeSeriesGroupingIterator iter = new TimeSeriesGroupingIterator();
|
||||
IteratorSetting settings = new IteratorSetting(100, TimeSeriesGroupingIterator.class);
|
||||
@@ -148,12 +154,15 @@ public class TimeSeriesGroupingIteratorTest extends IteratorTestBase {
|
||||
iter.init(source, settings.getOptions(), SCAN_IE);
|
||||
iter.seek(new Range(), EMPTY_COL_FAMS, true);
|
||||
|
||||
// this section changed when the key structure changed so that identical
|
||||
// colFam values sorted consecutively within an given time period
|
||||
for (int i = 4; i < 100; i++) {
|
||||
System.out.println(i);
|
||||
checkNextResult(iter, new double[] { i - 4, i - 3, i - 2, i - 1, i });
|
||||
if (i < 50) {
|
||||
checkNextResult(iter, new double[] { (i - 4) * 2, (i - 3) * 2, (i - 2) * 2, (i - 1) * 2, i * 2 });
|
||||
}
|
||||
}
|
||||
for (int i = 4; i < 50; i++) {
|
||||
System.out.println(i);
|
||||
checkNextResult(iter, new double[] { (i - 4) * 2, (i - 3) * 2, (i - 2) * 2, (i - 1) * 2, i * 2 });
|
||||
}
|
||||
assertFalse(iter.hasTop());
|
||||
}
|
||||
@@ -170,15 +179,16 @@ public class TimeSeriesGroupingIteratorTest extends IteratorTestBase {
|
||||
ts += 1000;
|
||||
Metric m = new Metric("sys.cpu.user", ts, i * 1.0D, tags1);
|
||||
byte[] row = MetricAdapter.encodeRowKey(m);
|
||||
Key k = new Key(row, tags1.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
|
||||
Key k = new Key(row, tags1.get(0).join().getBytes(StandardCharsets.UTF_8), MetricAdapter.encodeColQual(ts,
|
||||
""), new byte[0], ts);
|
||||
Value v = new Value(MetricAdapter.encodeValue(m.getValue().getMeasure()));
|
||||
table.put(k, v);
|
||||
if (i > 50) {
|
||||
// only populate this series 50 times
|
||||
Metric m2 = new Metric("sys.cpu.user", ts, i * 2.0D, tags2);
|
||||
byte[] row2 = MetricAdapter.encodeRowKey(m2);
|
||||
Key k2 = new Key(row2, tags2.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0],
|
||||
ts);
|
||||
Key k2 = new Key(row2, tags2.get(0).join().getBytes(StandardCharsets.UTF_8),
|
||||
MetricAdapter.encodeColQual(ts, ""), new byte[0], ts);
|
||||
Value v2 = new Value(MetricAdapter.encodeValue(m2.getValue().getMeasure()));
|
||||
table.put(k2, v2);
|
||||
}
|
||||
@@ -190,12 +200,15 @@ public class TimeSeriesGroupingIteratorTest extends IteratorTestBase {
|
||||
iter.init(source, settings.getOptions(), SCAN_IE);
|
||||
iter.seek(new Range(), EMPTY_COL_FAMS, true);
|
||||
|
||||
// this section changed when the key structure changed so that identical
|
||||
// colFam values sorted consecutively within an given time period
|
||||
for (int i = 4; i < 100; i++) {
|
||||
checkNextResult(iter, new double[] { i - 4, i - 3, i - 2, i - 1, i });
|
||||
if (i > 54) {
|
||||
checkNextResult(iter, new double[] { (i - 4) * 2, (i - 3) * 2, (i - 2) * 2, (i - 1) * 2, i * 2 });
|
||||
}
|
||||
}
|
||||
for (int i = 55; i < 100; i++) {
|
||||
checkNextResult(iter, new double[] { (i - 4) * 2, (i - 3) * 2, (i - 2) * 2, (i - 1) * 2, i * 2 });
|
||||
}
|
||||
|
||||
assertFalse(iter.hasTop());
|
||||
|
||||
}
|
||||
@@ -214,22 +227,25 @@ public class TimeSeriesGroupingIteratorTest extends IteratorTestBase {
|
||||
ts += 1000;
|
||||
Metric m = new Metric("sys.cpu.user", ts, i * 1.0D, tags1);
|
||||
byte[] row = MetricAdapter.encodeRowKey(m);
|
||||
Key k = new Key(row, tags1.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
|
||||
Key k = new Key(row, tags1.get(0).join().getBytes(StandardCharsets.UTF_8), MetricAdapter.encodeColQual(ts,
|
||||
""), new byte[0], ts);
|
||||
Value v = new Value(MetricAdapter.encodeValue(m.getValue().getMeasure()));
|
||||
table.put(k, v);
|
||||
// jitter the time on the second time series
|
||||
Metric m2 = new Metric("sys.cpu.user", ts + 50, i * 2.0D, tags2);
|
||||
byte[] row2 = MetricAdapter.encodeRowKey(m2);
|
||||
Key k2 = new Key(row2, tags2.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0],
|
||||
ts + 50);
|
||||
Key k2 = new Key(row2, tags2.get(0).join().getBytes(StandardCharsets.UTF_8), MetricAdapter.encodeColQual(
|
||||
ts, ""), new byte[0], ts + 50);
|
||||
Value v2 = new Value(MetricAdapter.encodeValue(m2.getValue().getMeasure()));
|
||||
table.put(k2, v2);
|
||||
Metric m3 = new Metric("sys.cpu.user", ts, i * 3.0D, tags3);
|
||||
byte[] row3 = MetricAdapter.encodeRowKey(m3);
|
||||
Key k3 = new Key(row3, tags3.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
|
||||
Key k3 = new Key(row3, tags3.get(0).join().getBytes(StandardCharsets.UTF_8), MetricAdapter.encodeColQual(
|
||||
ts, ""), new byte[0], ts);
|
||||
Value v3 = new Value(MetricAdapter.encodeValue(m3.getValue().getMeasure()));
|
||||
table.put(k3, v3);
|
||||
}
|
||||
|
||||
SortedMapIterator source = new SortedMapIterator(table);
|
||||
TimeSeriesGroupingIterator iter = new TimeSeriesGroupingIterator();
|
||||
IteratorSetting settings = new IteratorSetting(100, TimeSeriesGroupingIterator.class);
|
||||
@@ -256,23 +272,20 @@ public class TimeSeriesGroupingIteratorTest extends IteratorTestBase {
|
||||
third.add(9D);
|
||||
third.add(12D);
|
||||
|
||||
for (int i = 4; i < 196; i++) {
|
||||
// this section changed when the key structure changed so that identical
|
||||
// colFam values sorted consecutively within an given time period
|
||||
for (int i = 4; i < 100; i++) {
|
||||
checkNextResult(iter, first);
|
||||
shiftAndAdd(first, 1);
|
||||
}
|
||||
for (int i = 4; i < 100; i++) {
|
||||
System.out.println(i);
|
||||
if (i == 4) {
|
||||
checkNextResult(iter, first);
|
||||
checkNextResult(iter, third);
|
||||
} else if (i == 5) {
|
||||
checkNextResult(iter, second);
|
||||
} else if (i % 2 == 0) {
|
||||
shiftAndAdd(first, 1);
|
||||
checkNextResult(iter, first);
|
||||
|
||||
shiftAndAdd(third, 3);
|
||||
checkNextResult(iter, third);
|
||||
} else if (i % 2 != 0) {
|
||||
shiftAndAdd(second, 2);
|
||||
checkNextResult(iter, second);
|
||||
}
|
||||
checkNextResult(iter, second);
|
||||
shiftAndAdd(second, 2);
|
||||
}
|
||||
for (int i = 4; i < 100; i++) {
|
||||
checkNextResult(iter, third);
|
||||
shiftAndAdd(third, 3);
|
||||
}
|
||||
assertFalse(iter.hasTop());
|
||||
}
|
||||
|
||||
@@ -49,6 +49,7 @@ public class DataStoreIT extends OneWaySSLBase {
|
||||
subQuery.setDownsample(Optional.of("1s-max"));
|
||||
request.addQuery(subQuery);
|
||||
List<QueryResponse> response = query("https://127.0.0.1:54322/api/query", request);
|
||||
|
||||
assertEquals(1, response.size());
|
||||
Map<String, String> tags = response.get(0).getTags();
|
||||
assertEquals(1, tags.size());
|
||||
|
||||
@@ -572,6 +572,11 @@ public class HttpApiIT extends OneWaySSLBase {
|
||||
final Server s = new Server(conf);
|
||||
s.run();
|
||||
try {
|
||||
System.out.println("sys.cpu.user " + TEST_TIME + " 1.0 tag1=value1 tag2=value2 rack=r1");
|
||||
System.out.println("sys.cpu.user " + (TEST_TIME + 1) + " 1.0 tag3=value3 rack=r2");
|
||||
System.out.println("sys.cpu.idle " + (TEST_TIME + 2) + " 1.0 tag3=value3 tag4=value4 rack=r1");
|
||||
System.out.println("sys.cpu.idle " + (TEST_TIME + 1000) + " 3.0 tag3=value3 tag4=value4 rack=r2");
|
||||
|
||||
put("sys.cpu.user " + TEST_TIME + " 1.0 tag1=value1 tag2=value2 rack=r1", "sys.cpu.user " + (TEST_TIME + 1)
|
||||
+ " 1.0 tag3=value3 rack=r2", "sys.cpu.idle " + (TEST_TIME + 2)
|
||||
+ " 1.0 tag3=value3 tag4=value4 rack=r1", "sys.cpu.idle " + (TEST_TIME + 1000)
|
||||
@@ -590,6 +595,11 @@ public class HttpApiIT extends OneWaySSLBase {
|
||||
subQuery.setDownsample(Optional.of("1s-max"));
|
||||
request.addQuery(subQuery);
|
||||
List<QueryResponse> response = query("https://127.0.0.1:54322/api/query", request);
|
||||
|
||||
for (QueryResponse r : response) {
|
||||
System.out.println(r.toString());
|
||||
}
|
||||
|
||||
assertEquals(2, response.size());
|
||||
QueryResponse response1 = response.get(0);
|
||||
Map<String, String> tags = response1.getTags();
|
||||
|
||||
@@ -346,6 +346,15 @@ public class WebSocketIT extends OneWaySSLBase {
|
||||
second = Metric.newBuilder().name("sys.cpu.user").value(TEST_TIME + 500, 7.0D).tag(new Tag("rack", "r2"))
|
||||
.tag(new Tag("tag3", "value3")).build();
|
||||
|
||||
int x = 1;
|
||||
for (String r : response) {
|
||||
responses = JsonUtil.getObjectMapper().readValue(r, MetricResponses.class);
|
||||
for (MetricResponse r1 : responses.getResponses()) {
|
||||
System.out.println(x + " -- " + r1.toString());
|
||||
}
|
||||
x++;
|
||||
}
|
||||
|
||||
Assert.assertEquals(1, response.size());
|
||||
responses = JsonUtil.getObjectMapper().readValue(response.get(0), MetricResponses.class);
|
||||
Assert.assertEquals(2, responses.size());
|
||||
|
||||
Reference in new issue
Block a user