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-1
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@@ -6,5 +6,4 @@ target/
*.iml
logs/
server/pki/
client/src/main/python/setup.py
+1 -1
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@@ -23,7 +23,7 @@ under the License.
<parent>
<groupId>timely</groupId>
<artifactId>timely</artifactId>
<version>0.0.7-SNAPSHOT</version>
<version>0.0.6-SNAPSHOT</version>
</parent>
<properties>
<flink.version>1.1.4</flink.version>
+2 -2
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@@ -5,11 +5,11 @@
<parent>
<groupId>timely</groupId>
<artifactId>timely</artifactId>
<version>0.0.7-SNAPSHOT</version>
<version>0.0.6-SNAPSHOT</version>
</parent>
<properties>
<!-- PEP 440 compliant version gets supstituted into src/main/python/template/setup.py -->
<python.client.version>0.0.7.dev0</python.client.version>
<python.client.version>0.0.6.dev0</python.client.version>
</properties>
<dependencies>
<dependency>
+1 -1
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@@ -4,7 +4,7 @@
<parent>
<groupId>timely</groupId>
<artifactId>timely</artifactId>
<version>0.0.7-SNAPSHOT</version>
<version>0.0.6-SNAPSHOT</version>
</parent>
<artifactId>collectd-nsq-plugin</artifactId>
<dependencies>
+1 -1
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@@ -4,7 +4,7 @@
<parent>
<groupId>timely</groupId>
<artifactId>timely</artifactId>
<version>0.0.7-SNAPSHOT</version>
<version>0.0.6-SNAPSHOT</version>
</parent>
<artifactId>collectd-plugin-parent</artifactId>
<dependencies>
+1 -1
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@@ -4,7 +4,7 @@
<parent>
<groupId>timely</groupId>
<artifactId>timely</artifactId>
<version>0.0.7-SNAPSHOT</version>
<version>0.0.6-SNAPSHOT</version>
</parent>
<artifactId>collectd-timely-plugin</artifactId>
<dependencies>
+1 -1
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@@ -3,7 +3,7 @@
<parent>
<groupId>timely</groupId>
<artifactId>timely</artifactId>
<version>0.0.7-SNAPSHOT</version>
<version>0.0.6-SNAPSHOT</version>
</parent>
<artifactId>timely-common</artifactId>
<dependencies>
+1 -1
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@@ -4,7 +4,7 @@
<parent>
<groupId>timely</groupId>
<artifactId>timely</artifactId>
<version>0.0.7-SNAPSHOT</version>
<version>0.0.6-SNAPSHOT</version>
</parent>
<build>
<plugins>
+1 -1
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@@ -3,7 +3,7 @@
<modelVersion>4.0.0</modelVersion>
<groupId>timely</groupId>
<artifactId>timely</artifactId>
<version>0.0.7-SNAPSHOT</version>
<version>0.0.6-SNAPSHOT</version>
<packaging>pom</packaging>
<name>Timely</name>
<description>A secure and scalable time series database based on Apache Accumulo</description>
+1 -1
View File
@@ -5,7 +5,7 @@
<parent>
<groupId>timely</groupId>
<artifactId>timely</artifactId>
<version>0.0.7-SNAPSHOT</version>
<version>0.0.6-SNAPSHOT</version>
</parent>
<dependencies>
<dependency>
@@ -9,14 +9,12 @@ 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.Collections;
import java.util.List;
import java.util.Optional;
@@ -30,23 +28,12 @@ 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;
}
public static Mutation toMutation(Metric metric) {
final Mutation mutation = new Mutation(encodeRowKey(metric));
@@ -64,9 +51,8 @@ public class MetricAdapter {
.map(Tag::join)
.collect(Collectors.joining(","));
// @formatter:on
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));
mutation.put(cf, cq, extractVisibility(tags), metric.getValue().getTimestamp(), extractValue(metric));
}
return mutation;
}
@@ -101,11 +87,10 @@ public class MetricAdapter {
// @formatter:off
Metric.Builder builder = Metric.newBuilder()
.name(row.getFirst())
.value(k.getTimestamp(), ByteBuffer.wrap(v.get()).getDouble())
.value(row.getSecond(), ByteBuffer.wrap(v.get()).getDouble())
.tag(tagParser.parse(k.getColumnFamily().toString()));
// @formatter:on
ComparablePair<Long, String> cq = colQualCoder.decode(k.getColumnQualifier().getBytes());
tagListParser.parse(cq.getSecond()).forEach(builder::tag);
tagListParser.parse(k.getColumnQualifier().toString()).forEach(builder::tag);
if (includeVizTag && k.getColumnVisibility().getLength() > 0) {
tagListParser.parse("viz=" + k.getColumnVisibility().toString()).forEach(builder::tag);
}
@@ -121,16 +106,7 @@ public class MetricAdapter {
}
public static byte[] encodeRowKey(Metric metric) {
// 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);
return encodeRowKey(metric.getName(), metric.getValue().getTimestamp());
}
public static Pair<String, Long> decodeRowKey(Key k) {
@@ -54,11 +54,7 @@ public class MetricRequest implements TcpRequest, HttpPostRequest, WebSocketRequ
@Override
public void parse(String line) {
LOG.trace("Parsing Line: {}", line);
try {
metric = metricParser.parse(line);
} catch (Exception e) {
LOG.error("Error parsing metric: {}", line);
}
metric = metricParser.parse(line);
}
@Override
@@ -14,7 +14,7 @@ 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 org.apache.log4j.Logger;
import timely.adapter.accumulo.MetricAdapter;
import timely.model.Metric;
import timely.model.ObjectSizeOf;
@@ -26,7 +26,6 @@ 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";
@@ -39,7 +38,100 @@ public class DownsampleIterator extends WrappingIterator {
private long end;
private long period;
private Key last;
private DownsampleMemoryEstimator memoryEstimator = null;
private MemoryEstimator memoryEstimator = null;
static public class MemoryEstimator {
private boolean newBucket = false;
private long start;
private long period;
private long startOfCurrentBucket;
private long bucketsCompleted = 0;
private long bytesPerBucket = 0;
boolean highVolumeBuckets = false;
long maxDownsampleMemory = 0; // max aggregation memory (bytes) before
// current batch is returned (after
// bucket is complete)
LinkedList<Long> percentageChecks = new LinkedList<>();
public void reset() {
newBucket = false;
bucketsCompleted = 0;
bytesPerBucket = 0;
percentageChecks.add(5l);
percentageChecks.add(25l);
percentageChecks.add(50l);
percentageChecks.add(75l);
}
public MemoryEstimator(long maxDownsampleMemory, long start, long period) {
this.maxDownsampleMemory = maxDownsampleMemory;
this.start = start;
this.period = period;
this.startOfCurrentBucket = this.start;
reset();
}
public double getMemoryUsedPercentage() {
return (bucketsCompleted * bytesPerBucket) / (double) maxDownsampleMemory * 100;
}
public long getBucketsCompleted() {
return bucketsCompleted;
}
public long getBytesPerBucket() {
return bytesPerBucket;
}
public boolean isHighVolumeBuckets() {
return highVolumeBuckets;
}
public boolean shouldReturnBasedOnMemoryUsage(long timestamp, Object value) {
boolean shouldReturn = false;
if (maxDownsampleMemory >= 0) {
sample(timestamp);
if (isNewBucket()) {
bucketsCompleted++;
double memoryUsedPercentage = getMemoryUsedPercentage();
if (memoryUsedPercentage >= 100) {
shouldReturn = true;
} else {
boolean checkMemoryNow = false;
Long check = percentageChecks.peek();
if (check != null && memoryUsedPercentage >= check) {
checkMemoryNow = true;
percentageChecks.removeFirst();
}
// recalculate bytesPerBucket
if (bytesPerBucket == 0 || highVolumeBuckets || checkMemoryNow) {
long memoryUsed = ObjectSizeOf.Sizer.getObjectSize(value);
bytesPerBucket = memoryUsed / bucketsCompleted;
}
// bucket average greater than 10% of max
highVolumeBuckets = (bytesPerBucket / (double) maxDownsampleMemory) >= 0.1;
shouldReturn = false;
}
}
}
return shouldReturn;
}
public boolean isNewBucket() {
return newBucket;
}
private void sample(long timestamp) {
if (timestamp >= (startOfCurrentBucket + period)) {
newBucket = true;
startOfCurrentBucket = timestamp - ((timestamp - start) % period);
} else {
newBucket = false;
}
}
}
@SuppressWarnings("unchecked")
@Override
@@ -54,7 +146,7 @@ public class DownsampleIterator extends WrappingIterator {
if (options.containsKey(MAX_DOWNSAMPLE_MEMORY)) {
maxDownsampleMemory = Long.parseLong(options.get(MAX_DOWNSAMPLE_MEMORY));
}
memoryEstimator = new DownsampleMemoryEstimator(maxDownsampleMemory, start, period);
memoryEstimator = new MemoryEstimator(maxDownsampleMemory, start, period);
String aggClassname = options.get(AGGCLASS);
Class<?> aggClass;
@@ -70,18 +162,12 @@ public class DownsampleIterator extends WrappingIterator {
public boolean hasTop() {
if (super.hasTop()) {
Key topKey = super.getTopKey();
Value topValue = super.getTopValue();
Metric metric = MetricAdapter.parse(topKey, topValue);
LOG.trace("entering hasTop() for metric=" + metric.toString());
while (super.hasTop()) {
topKey = super.getTopKey();
topValue = super.getTopValue();
metric = MetricAdapter.parse(topKey, topValue);
Key topKey = super.getTopKey();
Value topValue = super.getTopValue();
Metric 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;
@@ -102,7 +188,6 @@ public class DownsampleIterator extends WrappingIterator {
throw new RuntimeException("Downstream next() failed", e);
}
}
LOG.trace("exiting hasTop() for metric=" + metric.toString());
return last != null;
} else {
return false;
@@ -1,101 +0,0 @@
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;
}
}
}
@@ -2,12 +2,9 @@ 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;
@@ -16,7 +13,6 @@ 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 {
@@ -30,12 +26,6 @@ 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;
@@ -5,9 +5,25 @@ 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.*;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.Comparator;
import java.util.EnumSet;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Iterator;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;
import java.util.SortedMap;
import java.util.Timer;
import java.util.TimerTask;
import java.util.TreeMap;
import java.util.TreeSet;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicLong;
import java.util.concurrent.atomic.AtomicReference;
@@ -29,7 +45,11 @@ 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.*;
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.iterators.IteratorUtil.IteratorScope;
import org.apache.accumulo.core.iterators.user.RegExFilter;
import org.apache.accumulo.core.security.Authorizations;
@@ -294,6 +314,7 @@ public class DataStoreImpl implements DataStore {
metaCache.addAll(toCache);
}
try {
batchWriter.get().addMutation(MetricAdapter.toMutation(metric));
internalMetrics.incrementMetricKeysInserted(metric.getTags().size());
} catch (MutationsRejectedException e) {
@@ -445,20 +466,13 @@ 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 {
@@ -472,12 +486,10 @@ public class DataStoreImpl implements DataStore {
long endOfLastPeriod = (endDistanceFromDownSample > 0 ? endTs + downsample
- endDistanceFromDownSample : endTs);
List<String> tagOrder = prioritizeTags(query.getMetric(), query.getTags());
setQueryRange(scanner, metric, startOfFirstPeriod, endOfLastPeriod);
List<String> tagOrder = prioritizeTags(query);
Map<String, String> orderedTags = orderTags(tagOrder, query.getTags());
Set<Tag> colFamValues = getColumnFamilies(metric, orderedTags);
List<Range> ranges = getQueryRanges(metric, startOfFirstPeriod, endOfLastPeriod, colFamValues);
scanner.setRanges(ranges);
setQueryColumns(scanner, metric, orderedTags, colFamValues);
setQueryColumns(scanner, metric, orderedTags);
if (query.isRate()) {
LOG.trace("Adding rate iterator");
@@ -517,7 +529,6 @@ 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())) {
@@ -537,12 +548,10 @@ 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: {} duration: {} metrics: {} results: {}", (System.currentTimeMillis() - now),
(endTs - startTs), metricList.toString(), numResults);
LOG.debug("Query time: {}", (System.currentTimeMillis() - now));
internalMetrics.addQueryResponse(result.size(), (System.currentTimeMillis() - now));
return result;
} catch (ClassNotFoundException | IOException | TableNotFoundException ex) {
@@ -570,9 +579,10 @@ public class DataStoreImpl implements DataStore {
* @param query
* @return ordered list of most specific to least specific tags in the query
*/
private List<String> prioritizeTags(String metric, Map<String, String> tags) {
private List<String> prioritizeTags(SubQuery query) {
// trivial cases
if (tags == null || tags.isEmpty()) {
Map<String, String> tags = query.getTags();
if (tags.isEmpty()) {
return Collections.emptyList();
}
if (tags.size() == 1) {
@@ -580,6 +590,7 @@ 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()) {
@@ -635,9 +646,8 @@ public class DataStoreImpl implements DataStore {
return !REGEX_TEST.matcher(value).matches();
}
public Set<Tag> getColumnFamilies(String metric, Map<String, String> requestedTags) throws TableNotFoundException {
Map<String, String> tags = (requestedTags == null) ? new LinkedHashMap<>() : requestedTags;
private void setQueryColumns(ScannerBase scanner, String metric, Map<String, String> tags)
throws TableNotFoundException, TimelyException {
LOG.trace("Looking for requested tags: {}", tags);
Scanner meta = connector.createScanner(metaTable, Authorizations.EMPTY);
Text start = new Text(Meta.VALUE_PREFIX + metric);
@@ -700,35 +710,24 @@ 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.
return expandTagValues(first, knownKeyValues);
}
private void setQueryColumns(ScannerBase scanner, String metric, Map<String, String> tags, Set<Tag> colFamValues)
throws TimelyException {
if (colFamValues.size() == 0) {
Set<Tag> concrete = expandTagValues(first, knownKeyValues);
if (concrete.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: {}", colFamValues);
for (Tag tag : colFamValues) {
LOG.trace("Found matching tags: {}", concrete);
for (Tag tag : concrete) {
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()) {
tag = tagIter.next();
Entry<String, String> tag = tagIter.next();
LOG.trace("Adding regex filter for tag {}", tag);
StringBuffer pattern = new StringBuffer();
pattern.append("(^.*\\x00|.*,)");
pattern.append("(^|.*,)");
pattern.append(tag.getKey());
pattern.append("=");
pattern.append(tag.getValue());
@@ -771,55 +770,14 @@ public class DataStoreImpl implements DataStore {
return result;
}
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 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));
}
private Class<? extends Aggregator> getAggregator(SubQuery query) {
@@ -880,7 +838,7 @@ public class DataStoreImpl implements DataStore {
}
}
public long getAgeOffForMetric(String metricName) {
private long getAgeOffForMetric(String metricName) {
String age = this.ageOff.get(MetricAgeOffIterator.AGE_OFF_PREFIX + metricName);
if (null == age) {
return this.defaultAgeOff;
@@ -910,13 +868,23 @@ public class DataStoreImpl implements DataStore {
if (null == metric) {
throw new IllegalArgumentException("metric name must be specified");
}
if (tags == null) {
tags = new LinkedHashMap<>();
if (0 == startTime) {
startTime = (System.currentTimeMillis() - getAgeOffForMetric(metric) - 1000);
LOG.debug("Overriding zero start time to {} due to age off configuration", startTime);
}
List<String> tagOrder = prioritizeTags(metric, tags);
Map<String, String> orderedTags = orderTags(tagOrder, tags);
Set<Tag> colFamValues = getColumnFamilies(metric, orderedTags);
setQueryColumns(s, metric, orderedTags, colFamValues);
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);
s.setBatchSize(scannerBatchSize);
s.setReadaheadThreshold(scannerReadAhead);
return s;
@@ -231,7 +231,7 @@ public class TimeSeriesGroupingIterator extends WrappingIterator {
while (super.hasTop()) {
Key k = super.getTopKey();
Long newTime = k.getTimestamp();
Long newTime = MetricAdapter.decodeRowKey(k).getSecond();
if (time == null) {
time = newTime;
}
@@ -2,20 +2,16 @@ 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;
@@ -29,7 +25,6 @@ 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;
@@ -50,16 +45,11 @@ public class MetricScanner extends Thread implements UncaughtExceptionHandler {
private final int lag;
private final String subscriptionId;
private final String metric;
private long startTime;
private long endTime;
private final 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,
@@ -67,34 +57,13 @@ 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 = 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.scanner = store.createScannerForMetric(sessionId, metric, tags, startTime, endTime, lag, scannerBatchSize,
scannerReadAhead);
this.iter = scanner.iterator();
this.delay = delay;
this.subscriptionId = subscriptionId;
@@ -117,7 +86,6 @@ public class MetricScanner extends Thread implements UncaughtExceptionHandler {
}
public synchronized void flush() {
LOG.info("Flush called");
synchronized (responses) {
if (responses.size() > 0) {
try {
@@ -135,8 +103,7 @@ public class MetricScanner extends Thread implements UncaughtExceptionHandler {
public void run() {
Metric m = null;
try {
boolean done = false;
while (!done && !closed) {
while (!closed) {
if (this.iter.hasNext()) {
Entry<Key, Value> e = this.iter.next();
@@ -145,55 +112,39 @@ public class MetricScanner extends Thread implements UncaughtExceptionHandler {
flush();
}
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);
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();
}
this.scanner.setRange(new Range(prevRange.getStartKey().getRow(), prevRange
.isStartKeyInclusive(), endRow, false));
this.iter = this.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);
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;
}
this.scanner.setRange(new Range(new Text(MetricAdapter.encodeRowKey(m)), false, endRow,
prevRange.isEndKeyInclusive()));
this.iter = this.scanner.iterator();
}
} 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 (Throwable e) {
} catch (Exception e) {
LOG.error("Error in metric scanner, closing.", e);
} finally {
close();
@@ -15,8 +15,6 @@ 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() {
@@ -27,8 +25,7 @@ public class TimelyMetricsFormatter extends DefaultFormatter {
b.append(" ");
b.append(e.getKey().getColumnFamily().toString());
b.append(":");
ComparablePair<Long, String> cq = colQualCoder.decode(e.getKey().getColumnQualifier().copyBytes());
b.append(cq.getFirst()).append("\\x00").append(cq.getSecond());
b.append(e.getKey().getColumnQualifier().toString());
b.append(" ");
b.append(e.getKey().getColumnVisibility().toString());
if (super.isDoTimestamps()) {
@@ -42,33 +42,28 @@ 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", MetricAdapter.roundTimestampToLastHour(ts)));
byte[] row = rowCoder.encode(new ComparablePair<>("sys.cpu.user", 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.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.assertTrue(new String(up.getColumnFamily()).equals("tag1=value1"));
Assert.assertTrue(new String(up.getColumnQualifier()).equals("tag2=value2,tag3=value3"));
Assert.assertEquals(ts, up.getTimestamp());
Assert.assertEquals("", new String(new String(up.getColumnVisibility())));
Assert.assertTrue(new String(up.getColumnVisibility()).equals(""));
Assert.assertArrayEquals(value, up.getValue());
ColumnUpdate up2 = mut.getUpdates().get(1);
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.assertTrue(new String(up2.getColumnFamily()).equals("tag2=value2"));
Assert.assertTrue(new String(up2.getColumnQualifier()).equals("tag1=value1,tag3=value3"));
Assert.assertEquals(ts, up2.getTimestamp());
Assert.assertEquals("", new String(up2.getColumnVisibility()));
Assert.assertTrue(new String(up2.getColumnVisibility()).equals(""));
Assert.assertArrayEquals(value, up.getValue());
ColumnUpdate up3 = mut.getUpdates().get(2);
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.assertTrue(new String(up3.getColumnFamily()).equals("tag3=value3"));
Assert.assertTrue(new String(up3.getColumnQualifier()).equals("tag1=value1,tag2=value2"));
Assert.assertEquals(ts, up3.getTimestamp());
Assert.assertEquals("", new String(up3.getColumnVisibility()));
Assert.assertTrue(new String(up3.getColumnVisibility()).equals(""));
Assert.assertArrayEquals(value, up.getValue());
}
@@ -83,16 +78,14 @@ 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", MetricAdapter.roundTimestampToLastHour(ts)));
byte[] row = rowCoder.encode(new ComparablePair<>("sys.cpu.user", 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()));
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("", new String(up.getColumnQualifier()));
Assert.assertEquals(ts, up.getTimestamp());
Assert.assertEquals("(a&b)|(c&d)", new String(up.getColumnVisibility()));
Assert.assertArrayEquals(value, up.getValue());
@@ -117,9 +110,8 @@ 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);
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);
Key k = new Key(row, "tag1=value1".getBytes(), "tag2=value2,tag3=value3".getBytes(), "(a&b)|(c&d)".getBytes(),
1000);
Value v = new Value(value);
Metric m = MetricAdapter.parse(k, v);
Assert.assertEquals("sys.cpu.user", m.getName());
@@ -138,9 +130,8 @@ 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);
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);
Key k = new Key(row, "tag1=value1".getBytes(), "tag2=value2,tag3=value3".getBytes(), "(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());
@@ -54,7 +54,6 @@ 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()));
}
}
@@ -70,6 +69,7 @@ public class DownsampleIteratorTest {
}
private void createTestData2() {
List<List<Tag>> listOfTagVariations = new ArrayList<>();
List<Tag> tags = Collections.singletonList(new Tag("host", "host1"));
List<Tag> tags2 = Collections.singletonList(new Tag("host", "host2"));
@@ -168,7 +168,8 @@ public class DownsampleIteratorTest {
long period = 500l;
long sizeOfObjects = 20;
SampleObject o = new SampleObject();
DownsampleMemoryEstimator memoryEstimator = new DownsampleMemoryEstimator(maxMemory, start, period);
DownsampleIterator.MemoryEstimator memoryEstimator = new DownsampleIterator.MemoryEstimator(maxMemory, start,
period);
boolean shouldReturn = false;
for (long x = 100; x <= 5000; x += 100) {
long timestamp = start + x;
@@ -197,7 +198,8 @@ public class DownsampleIteratorTest {
long period = 500l;
long sizeOfObjects = 200;
SampleObject o = new SampleObject();
DownsampleMemoryEstimator memoryEstimator = new DownsampleMemoryEstimator(maxMemory, start, period);
DownsampleIterator.MemoryEstimator memoryEstimator = new DownsampleIterator.MemoryEstimator(maxMemory, start,
period);
boolean shouldReturn = false;
for (long x = 100; x <= 5000; x += 100) {
long timestamp = start + x;
@@ -279,7 +281,6 @@ public class DownsampleIteratorTest {
}
}
key = iter.getTopKey();
System.out.println(key.toString());
} while (iter.hasTop());
assertEquals(testData.lastKey(), key);
@@ -22,7 +22,6 @@ 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 {
@@ -39,8 +38,7 @@ 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), MetricAdapter.encodeColQual(ts,
""), new byte[0], ts);
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
Value v = new Value(MetricAdapter.encodeValue(m.getValue().getMeasure()));
table.put(k, v);
}
@@ -70,8 +68,7 @@ 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), MetricAdapter.encodeColQual(ts,
""), new byte[0], ts);
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
Value v = new Value(MetricAdapter.encodeValue(m.getValue().getMeasure()));
table.put(k, v);
}
@@ -116,8 +113,7 @@ 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), MetricAdapter.encodeColQual(
ts, ""), new byte[0], ts);
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
Value v = new Value(MetricAdapter.encodeValue(m.getValue().getMeasure()));
table.put(k, v);
}
@@ -151,8 +147,7 @@ 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), MetricAdapter.encodeColQual(
ts, ""), new byte[0], ts);
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
Value v = new Value(MetricAdapter.encodeValue(m.getValue().getMeasure()));
table.put(k, v);
}
@@ -186,8 +181,7 @@ 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), MetricAdapter.encodeColQual(
ts, ""), new byte[0], ts);
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
Value v = new Value(MetricAdapter.encodeValue(m.getValue().getMeasure()));
table.put(k, v);
}
@@ -6,7 +6,10 @@ import static org.junit.Assert.assertTrue;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.util.*;
import java.util.ArrayList;
import java.util.LinkedList;
import java.util.List;
import java.util.TreeMap;
import org.apache.accumulo.core.client.IteratorSetting;
import org.apache.accumulo.core.data.Key;
@@ -40,8 +43,7 @@ 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), MetricAdapter.encodeColQual(ts,
""), new byte[0], ts);
Key k = new Key(row, tags.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
Value v = new Value(MetricAdapter.encodeValue(m.getValue().getMeasure()));
table.put(k, v);
}
@@ -90,14 +92,12 @@ 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), MetricAdapter.encodeColQual(ts,
""), new byte[0], ts);
Key k = new Key(row, tags1.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], 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), MetricAdapter.encodeColQual(
ts, ""), new byte[0], ts);
Key k2 = new Key(row2, tags2.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0], ts);
Value v2 = new Value(MetricAdapter.encodeValue(m2.getValue().getMeasure()));
table.put(k2, v2);
}
@@ -108,12 +108,8 @@ 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());
@@ -132,21 +128,19 @@ 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), MetricAdapter.encodeColQual(ts,
""), new byte[0], ts);
Key k = new Key(row, tags1.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], 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),
MetricAdapter.encodeColQual(ts, ""), new byte[0], ts);
Key k2 = new Key(row2, tags2.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], 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);
@@ -154,15 +148,12 @@ 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++) {
System.out.println(i);
checkNextResult(iter, new double[] { i - 4, i - 3, i - 2, i - 1, i });
}
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 });
if (i < 50) {
checkNextResult(iter, new double[] { (i - 4) * 2, (i - 3) * 2, (i - 2) * 2, (i - 1) * 2, i * 2 });
}
}
assertFalse(iter.hasTop());
}
@@ -179,16 +170,15 @@ 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), MetricAdapter.encodeColQual(ts,
""), new byte[0], ts);
Key k = new Key(row, tags1.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], 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),
MetricAdapter.encodeColQual(ts, ""), new byte[0], ts);
Key k2 = new Key(row2, tags2.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], new byte[0],
ts);
Value v2 = new Value(MetricAdapter.encodeValue(m2.getValue().getMeasure()));
table.put(k2, v2);
}
@@ -200,15 +190,12 @@ 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 });
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());
}
@@ -227,25 +214,22 @@ 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), MetricAdapter.encodeColQual(ts,
""), new byte[0], ts);
Key k = new Key(row, tags1.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], 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), MetricAdapter.encodeColQual(
ts, ""), new byte[0], ts + 50);
Key k2 = new Key(row2, tags2.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], 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), MetricAdapter.encodeColQual(
ts, ""), new byte[0], ts);
Key k3 = new Key(row3, tags3.get(0).join().getBytes(StandardCharsets.UTF_8), new byte[0], 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);
@@ -272,20 +256,23 @@ public class TimeSeriesGroupingIteratorTest extends IteratorTestBase {
third.add(9D);
third.add(12D);
// 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++) {
for (int i = 4; i < 196; i++) {
System.out.println(i);
checkNextResult(iter, second);
shiftAndAdd(second, 2);
}
for (int i = 4; i < 100; i++) {
checkNextResult(iter, third);
shiftAndAdd(third, 3);
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);
}
}
assertFalse(iter.hasTop());
}
@@ -49,7 +49,6 @@ 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());
@@ -572,11 +572,6 @@ 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)
@@ -595,11 +590,6 @@ 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();
@@ -346,15 +346,6 @@ 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());