/
MetricsServiceImpl.java
1031 lines (904 loc) · 46.9 KB
/
MetricsServiceImpl.java
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/*
* Copyright 2014-2016 Red Hat, Inc. and/or its affiliates
* and other contributors as indicated by the @author tags.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.hawkular.metrics.core.service;
import static org.hawkular.metrics.core.service.Functions.isValidTagMap;
import static org.hawkular.metrics.core.service.Functions.makeSafe;
import static org.hawkular.metrics.core.service.Order.ASC;
import static org.hawkular.metrics.model.MetricType.AVAILABILITY;
import static org.hawkular.metrics.model.MetricType.COUNTER;
import static org.hawkular.metrics.model.MetricType.COUNTER_RATE;
import static org.hawkular.metrics.model.MetricType.GAUGE;
import static org.hawkular.metrics.model.MetricType.GAUGE_RATE;
import static org.hawkular.metrics.model.MetricType.STRING;
import static org.hawkular.metrics.model.Utils.isValidTimeRange;
import static com.google.common.base.Preconditions.checkArgument;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.Callable;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.Executors;
import java.util.function.Predicate;
import java.util.regex.Pattern;
import org.hawkular.metrics.core.service.log.CoreLogger;
import org.hawkular.metrics.core.service.log.CoreLogging;
import org.hawkular.metrics.core.service.transformers.ItemsToSetTransformer;
import org.hawkular.metrics.core.service.transformers.MetricFromDataRowTransformer;
import org.hawkular.metrics.core.service.transformers.MetricFromFullDataRowTransformer;
import org.hawkular.metrics.core.service.transformers.MetricsIndexRowTransformer;
import org.hawkular.metrics.core.service.transformers.NumericBucketPointTransformer;
import org.hawkular.metrics.core.service.transformers.TaggedBucketPointTransformer;
import org.hawkular.metrics.core.service.transformers.TagsIndexRowTransformer;
import org.hawkular.metrics.model.AvailabilityBucketPoint;
import org.hawkular.metrics.model.AvailabilityType;
import org.hawkular.metrics.model.BucketPoint;
import org.hawkular.metrics.model.Buckets;
import org.hawkular.metrics.model.DataPoint;
import org.hawkular.metrics.model.Metric;
import org.hawkular.metrics.model.MetricId;
import org.hawkular.metrics.model.MetricType;
import org.hawkular.metrics.model.NamedDataPoint;
import org.hawkular.metrics.model.NumericBucketPoint;
import org.hawkular.metrics.model.Percentile;
import org.hawkular.metrics.model.Retention;
import org.hawkular.metrics.model.TaggedBucketPoint;
import org.hawkular.metrics.model.Tenant;
import org.hawkular.metrics.model.exception.MetricAlreadyExistsException;
import org.hawkular.metrics.model.exception.TenantAlreadyExistsException;
import org.hawkular.metrics.model.param.BucketConfig;
import org.hawkular.metrics.model.param.TimeRange;
import org.hawkular.metrics.sysconfig.ConfigurationService;
import org.joda.time.Duration;
import com.codahale.metrics.Meter;
import com.codahale.metrics.MetricRegistry;
import com.codahale.metrics.Timer;
import com.datastax.driver.core.ResultSet;
import com.datastax.driver.core.ResultSetFuture;
import com.datastax.driver.core.Row;
import com.datastax.driver.core.Session;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableMap;
import com.google.common.collect.Lists;
import com.google.common.util.concurrent.FutureCallback;
import com.google.common.util.concurrent.Futures;
import com.google.common.util.concurrent.ListenableFuture;
import com.google.common.util.concurrent.ListeningExecutorService;
import com.google.common.util.concurrent.MoreExecutors;
import rx.Observable;
import rx.functions.Func1;
import rx.functions.Func2;
import rx.functions.Func5;
import rx.observable.ListenableFutureObservable;
import rx.subjects.PublishSubject;
/**
* @author John Sanda
*/
public class MetricsServiceImpl implements MetricsService {
private static final CoreLogger log = CoreLogging.getCoreLogger(MetricsServiceImpl.class);
public static final String SYSTEM_TENANT_ID = makeSafe("sysconfig");
private static class DataRetentionKey {
private final MetricId<?> metricId;
public DataRetentionKey(String tenantId, MetricType<?> type) {
metricId = new MetricId<>(tenantId, type, makeSafe(type.getText()));
}
public DataRetentionKey(MetricId<?> metricId) {
this.metricId = metricId;
}
public DataRetentionKey(Metric<?> metric) {
this.metricId = metric.getMetricId();
}
@Override
public boolean equals(Object o) {
if (this == o) return true;
if (o == null || getClass() != o.getClass()) return false;
DataRetentionKey that = (DataRetentionKey) o;
return metricId.equals(that.metricId);
}
@Override
public int hashCode() {
return metricId.hashCode();
}
}
/**
* Note that while user specifies the durations in hours, we store them in seconds.
*/
private final Map<DataRetentionKey, Integer> dataRetentions = new ConcurrentHashMap<>();
private final PublishSubject<Metric<?>> insertedDataPointEvents = PublishSubject.create();
private ListeningExecutorService metricsTasks;
private DataAccess dataAccess;
private ConfigurationService configurationService;
private MetricRegistry metricRegistry;
/**
* Functions used to insert metric data points.
*/
private Map<MetricType<?>, Func2<? extends Metric<?>, Integer, Observable<Integer>>> dataPointInserters;
/**
* Measurements of the throughput of inserting data points.
*/
private Map<MetricType<?>, Meter> dataPointInsertMeters;
/**
* Measures the latency of queries for data points.
*/
private Map<MetricType<?>, Timer> dataPointReadTimers;
/**
* Functions used to find metric data points.
*/
private Map<MetricType<?>, Func5<? extends MetricId<?>, Long, Long,
Integer, Order, Observable<Row>>> dataPointFinders;
/**
* Functions used to transform a row into a data point object.
*/
private Map<MetricType<?>, Func1<Row, ? extends DataPoint<?>>> dataPointMappers;
private int defaultTTL = Duration.standardDays(7).toStandardSeconds().getSeconds();
private int maxStringSize;
public void startUp(Session session, String keyspace, boolean resetDb, MetricRegistry metricRegistry) {
startUp(session, keyspace, resetDb, true, metricRegistry);
}
public void startUp(Session session, String keyspace, boolean resetDb, boolean createSchema,
MetricRegistry metricRegistry) {
session.execute("USE " + keyspace);
log.infoKeyspaceUsed(keyspace);
metricsTasks = MoreExecutors.listeningDecorator(Executors.newFixedThreadPool(4, new MetricsThreadFactory()));
loadDataRetentions();
this.metricRegistry = metricRegistry;
initStringSize(session);
dataPointInserters = ImmutableMap
.<MetricType<?>, Func2<? extends Metric<?>, Integer,
Observable<Integer>>>builder()
.put(GAUGE, (metric, ttl) -> {
@SuppressWarnings("unchecked")
Metric<Double> gauge = (Metric<Double>) metric;
if (ttl == defaultTTL) {
return dataAccess.insertGaugeData(gauge);
}
return dataAccess.insertGaugeData(gauge, ttl);
})
.put(AVAILABILITY, (metric, ttl) -> {
@SuppressWarnings("unchecked")
Metric<AvailabilityType> avail = (Metric<AvailabilityType>) metric;
if (ttl == defaultTTL) {
return dataAccess.insertAvailabilityData(avail);
}
return dataAccess.insertAvailabilityData(avail, ttl);
})
.put(COUNTER, (metric, ttl) -> {
@SuppressWarnings("unchecked")
Metric<Long> counter = (Metric<Long>) metric;
if (ttl == defaultTTL) {
return dataAccess.insertCounterData(counter);
}
return dataAccess.insertCounterData(counter, ttl);
})
.put(STRING, (metric, ttl) -> {
@SuppressWarnings("unchecked")
Metric<String> string = (Metric<String>) metric;
if (ttl == defaultTTL) {
return dataAccess.insertStringData(string, maxStringSize);
}
return dataAccess.insertStringData(string, ttl, maxStringSize);
})
.build();
dataPointFinders = ImmutableMap
.<MetricType<?>, Func5<? extends MetricId<?>, Long, Long, Integer, Order,
Observable<Row>>>builder()
.put(GAUGE, (metricId, start, end, limit, order) -> {
@SuppressWarnings("unchecked")
MetricId<Double> gaugeId = (MetricId<Double>) metricId;
return dataAccess.findGaugeData(gaugeId, start, end, limit, order);
})
.put(AVAILABILITY, (metricId, start, end, limit, order) -> {
@SuppressWarnings("unchecked")
MetricId<AvailabilityType> availabilityId = (MetricId<AvailabilityType>) metricId;
return dataAccess.findAvailabilityData(availabilityId, start, end, limit, order);
})
.put(COUNTER, (metricId, start, end, limit, order) -> {
@SuppressWarnings("unchecked")
MetricId<Long> counterId = (MetricId<Long>) metricId;
return dataAccess.findCounterData(counterId, start, end, limit, order);
})
.put(STRING, (metricId, start, end, limit, order) -> {
@SuppressWarnings("unchecked")
MetricId<String> stringId = (MetricId<String>) metricId;
return dataAccess.findStringData(stringId, start, end, limit, order);
})
.build();
dataPointMappers = ImmutableMap.<MetricType<?>, Func1<Row, ? extends DataPoint<?>>> builder()
.put(GAUGE, Functions::getGaugeDataPoint)
.put(AVAILABILITY, Functions::getAvailabilityDataPoint)
.put(COUNTER, Functions::getCounterDataPoint)
.put(STRING, Functions::getStringDataPoint)
.build();
setDefaultTTL(session, keyspace);
initMetrics();
}
void loadDataRetentions() {
List<String> tenantIds = loadTenantIds();
CountDownLatch latch = new CountDownLatch(tenantIds.size() * 2);
for (String tenantId : tenantIds) {
DataRetentionsMapper gaugeMapper = new DataRetentionsMapper(tenantId, GAUGE);
DataRetentionsMapper availMapper = new DataRetentionsMapper(tenantId, AVAILABILITY);
ResultSetFuture gaugeFuture = dataAccess.findDataRetentions(tenantId, GAUGE);
ResultSetFuture availabilityFuture = dataAccess.findDataRetentions(tenantId, AVAILABILITY);
ListenableFuture<Set<Retention>> gaugeRetentions = Futures.transform(gaugeFuture, gaugeMapper,
metricsTasks);
ListenableFuture<Set<Retention>> availabilityRetentions = Futures.transform(availabilityFuture, availMapper,
metricsTasks);
Futures.addCallback(gaugeRetentions,
new DataRetentionsLoadedCallback(tenantId, GAUGE, latch));
Futures.addCallback(availabilityRetentions, new DataRetentionsLoadedCallback(tenantId, AVAILABILITY,
latch));
}
try {
latch.await();
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
}
void unloadDataRetentions() {
dataRetentions.clear();
}
private void initMetrics() {
dataPointInsertMeters = ImmutableMap.<MetricType<?>, Meter> builder()
.put(GAUGE, metricRegistry.meter("gauge-inserts"))
.put(AVAILABILITY, metricRegistry.meter("availability-inserts"))
.put(COUNTER, metricRegistry.meter("counter-inserts"))
.put(COUNTER_RATE, metricRegistry.meter("gauge-inserts"))
.put(STRING, metricRegistry.meter("string-inserts"))
.build();
dataPointReadTimers = ImmutableMap.<MetricType<?>, Timer> builder()
.put(GAUGE, metricRegistry.timer("gauge-read-latency"))
.put(AVAILABILITY, metricRegistry.timer("availability-read-latency"))
.put(COUNTER, metricRegistry.timer("counter-read-latency"))
.put(STRING, metricRegistry.timer("string-read-latency"))
.build();
}
private void initStringSize(Session session) {
String configMaxStringSize = configurationService.load("org.hawkular.metrics", "string-size").toBlocking()
.lastOrDefault(null);
if (configMaxStringSize == null) {
maxStringSize = -1; // no size limit
} else {
maxStringSize = Integer.parseInt(configMaxStringSize);
}
log.infoMaxSizeStringMetrics(this.maxStringSize);
}
private void setDefaultTTL(Session session, String keyspace) {
ResultSet resultSet = session.execute("select default_time_to_live from system_schema.tables where " +
"keyspace_name = '" + keyspace + "' and table_name = 'data'");
List<Row> rows = resultSet.all();
if (rows.isEmpty()) {
throw new IllegalStateException("Failed to find " + keyspace + ".data in system_schema.tables. Default " +
"data retention cannot be configured.");
}
int defaultTTL = rows.get(0).getInt(0);
if (defaultTTL != this.defaultTTL) {
session.execute("alter table " + keyspace + ".data with default_time_to_live = " + this.defaultTTL);
}
log.infoDefaultDataRetention(this.defaultTTL);
}
private class DataRetentionsLoadedCallback implements FutureCallback<Set<Retention>> {
private final String tenantId;
private final MetricType<?> type;
private final CountDownLatch latch;
public DataRetentionsLoadedCallback(String tenantId, MetricType<?> type, CountDownLatch latch) {
this.tenantId = tenantId;
this.type = type;
this.latch = latch;
}
@Override
public void onSuccess(Set<Retention> dataRetentionsSet) {
for (Retention r : dataRetentionsSet) {
dataRetentions.put(new DataRetentionKey(r.getId()), r.getValue());
}
latch.countDown();
}
@Override
public void onFailure(Throwable t) {
log.warnDataRetentionLoadingFailure(tenantId, type, t);
latch.countDown();
// TODO We probably should not let initialization proceed on this error (then change log level to FATAL)
}
}
/**
* This is a test hook.
*/
DataAccess getDataAccess() {
return dataAccess;
}
/**
* This is a test hook.
*/
public void setDataAccess(DataAccess dataAccess) {
this.dataAccess = dataAccess;
}
public void setConfigurationService(ConfigurationService configurationService) {
this.configurationService = configurationService;
}
public void setDefaultTTL(int defaultTTL) {
this.defaultTTL = Duration.standardDays(defaultTTL).toStandardSeconds().getSeconds();
}
@Override
public Observable<Void> createTenant(final Tenant tenant, boolean overwrite) {
return Observable.create(subscriber -> {
Observable<Void> updates = dataAccess.insertTenant(tenant, overwrite).flatMap(resultSet -> {
if (!resultSet.wasApplied()) {
throw new TenantAlreadyExistsException(tenant.getId());
}
Observable<Void> retentionUpdates = Observable.from(tenant.getRetentionSettings().entrySet())
.flatMap(entry -> dataAccess.updateRetentionsIndex(tenant.getId(), entry.getKey(),
ImmutableMap.of(makeSafe(entry.getKey().getText()), entry.getValue())))
.map(rs -> null);
return retentionUpdates;
});
updates.subscribe(resultSet -> {
}, subscriber::onError, subscriber::onCompleted);
});
}
@Override
public Observable<Tenant> getTenants() {
return dataAccess.findAllTenantIds()
.map(row -> row.getString(0))
.distinct()
.flatMap(id ->
dataAccess.findTenant(id)
.map(Functions::getTenant)
.switchIfEmpty(Observable.just(new Tenant(id)))
);
}
private List<String> loadTenantIds() {
Iterable<String> tenantIds = dataAccess.findAllTenantIds()
.map(row -> row.getString(0))
.distinct()
.toBlocking()
.toIterable();
return ImmutableList.copyOf(tenantIds);
}
@Override
public Observable<Void> createMetric(Metric<?> metric, boolean overwrite) {
MetricType<?> metricType = metric.getMetricId().getType();
if (!metricType.isUserType()) {
throw new IllegalArgumentException(metric + " cannot be created. " + metricType + " metrics are " +
"internally generated metrics and cannot be created by clients.");
}
ResultSetFuture future = dataAccess.insertMetricInMetricsIndex(metric, overwrite);
Observable<ResultSet> indexUpdated = ListenableFutureObservable.from(future, metricsTasks);
return Observable.create(subscriber -> indexUpdated.subscribe(resultSet -> {
if (!overwrite && !resultSet.wasApplied()) {
subscriber.onError(new MetricAlreadyExistsException(metric));
} else {
// TODO Need error handling if either of the following updates fail
// If adding tags/retention fails, then we want to report the error to the
// client. Updating the retentions_idx table could also fail. We need to
// report that failure as well.
//
// The error handling is the same as it was with Guava futures. That is, if any
// future fails, we treat the entire client request as a failure. We probably
// eventually want to implement more fine-grained error handling where we can
// notify the subscriber of what exactly fails.
List<Observable<ResultSet>> updates = new ArrayList<>();
updates.add(dataAccess.insertIntoMetricsTagsIndex(metric, metric.getTags()));
if (metric.getDataRetention() != null) {
updates.add(updateRetentionsIndex(metric));
}
Observable.merge(updates).subscribe(new VoidSubscriber<>(subscriber));
}
}));
}
private Observable<ResultSet> updateRetentionsIndex(Metric<?> metric) {
return ListenableFutureObservable.from(dataAccess.updateRetentionsIndex(metric), metricsTasks)
.doOnCompleted(() ->
dataRetentions.put(new DataRetentionKey(metric), metric.getDataRetention()));
}
@Override
public <T> Observable<Metric<T>> findMetric(final MetricId<T> id) {
return dataAccess.findMetricInMetricsIndex(id)
.compose(new MetricsIndexRowTransformer<>(id.getTenantId(), id.getType(), defaultTTL))
.switchIfEmpty(dataAccess.findMetricInData(id)
.compose(new MetricFromDataRowTransformer<>(id.getTenantId(), id.getType(), defaultTTL)));
}
@SuppressWarnings("unchecked")
@Override
public <T> Observable<Metric<T>> findMetrics(String tenantId, MetricType<T> metricType) {
Observable<Metric<T>> setFromMetricsIndex = null;
Observable<Metric<T>> setFromData = dataAccess.findAllMetricsInData()
.filter(row -> tenantId.equals(row.getString(0)))
.compose(new MetricFromFullDataRowTransformer(defaultTTL))
.map(m -> (Metric<T>) m);
if (metricType == null) {
setFromMetricsIndex = Observable.from(MetricType.userTypes())
.map(type -> (MetricType<T>) type)
.flatMap(type -> dataAccess.findMetricsInMetricsIndex(tenantId, type)
.compose(new MetricsIndexRowTransformer<>(tenantId, type, defaultTTL)));
} else {
setFromMetricsIndex = dataAccess.findMetricsInMetricsIndex(tenantId, metricType)
.compose(new MetricsIndexRowTransformer<>(tenantId, metricType, defaultTTL));
setFromData = setFromData.filter(m -> metricType.equals(m.getMetricId().getType()));
}
return setFromMetricsIndex.concatWith(setFromData).distinct(m -> m.getMetricId());
}
private <T> Observable<Metric<T>> findMetricsWithFilters(String tenantId, MetricType<T> metricType,
Map<String, String> tagsQueries) {
// Fetch everything from the tagsQueries
return Observable.from(tagsQueries.entrySet())
.flatMap(e -> dataAccess.findMetricsByTagName(tenantId, e.getKey())
.filter(tagValueFilter(e.getValue(), 2))
.compose(new TagsIndexRowTransformer<>(tenantId, metricType))
.compose(new ItemsToSetTransformer<>())
.reduce((s1, s2) -> {
s1.addAll(s2);
return s1;
}))
.reduce((s1, s2) -> {
s1.retainAll(s2);
return s1;
})
.flatMap(Observable::from)
.flatMap(this::findMetric);
}
@Override
public <T> Observable<Metric<T>> findMetricsWithFilters(String tenantId, MetricType<T> metricType, Map<String,
String> tagsQueries, Func1<Metric<T>, Boolean>... filters) {
Observable<Metric<T>> metricObservable = findMetricsWithFilters(tenantId, metricType, tagsQueries);
for (Func1<Metric<T>, Boolean> filter : filters) {
metricObservable = metricObservable.filter(filter);
}
return metricObservable;
}
private Func1<Row, Boolean> tagValueFilter(String regexp, int index) {
boolean positive = (!regexp.startsWith("!"));
Pattern p = PatternUtil.filterPattern(regexp);
return r -> positive == p.matcher(r.getString(index)).matches(); // XNOR
}
public <T> Func1<Metric<T>, Boolean> idFilter(String regexp) {
boolean positive = (!regexp.startsWith("!"));
Pattern p = PatternUtil.filterPattern(regexp);
return tMetric -> positive == p.matcher(tMetric.getId()).matches();
}
public Func1<Row, Boolean> typeFilter(MetricType<?> type) {
return row -> {
MetricType<?> metricType = MetricType.fromCode(row.getByte(0));
return (type == null && metricType.isUserType()) || metricType == type;
};
}
@Override
public Observable<Map<String, Set<String>>> getTagValues(String tenantId, MetricType<?> metricType,
Map<String, String> tagsQueries) {
// Row: 0 = type, 1 = metricName, 2 = tagValue, e.getKey = tagName, e.getValue = regExp
return Observable.from(tagsQueries.entrySet())
.flatMap(e -> dataAccess.findMetricsByTagName(tenantId, e.getKey())
.filter(typeFilter(metricType))
.filter(tagValueFilter(e.getValue(), 2))
.map(row -> {
Map<String, Map<String, String>> idMap = new HashMap<>();
Map<String, String> valueMap = new HashMap<>();
valueMap.put(e.getKey(), row.getString(2));
idMap.put(row.getString(1), valueMap);
return idMap;
})
.switchIfEmpty(Observable.just(new HashMap<>()))
.reduce((map1, map2) -> {
map1.putAll(map2);
return map1;
}))
.reduce((m1, m2) -> {
// Now try to emulate set operation of cut
Iterator<Map.Entry<String, Map<String, String>>> iterator = m1.entrySet().iterator();
while (iterator.hasNext()) {
Map.Entry<String, Map<String, String>> next = iterator.next();
if (!m2.containsKey(next.getKey())) {
iterator.remove();
} else {
// Combine the entries
Map<String, String> map2 = m2.get(next.getKey());
map2.forEach((k, v) -> next.getValue().put(k, v));
}
}
return m1;
})
.map(m -> {
Map<String, Set<String>> tagValueMap = new HashMap<>();
m.forEach((k, v) ->
v.forEach((subKey, subValue) -> {
if (tagValueMap.containsKey(subKey)) {
tagValueMap.get(subKey).add(subValue);
} else {
Set<String> values = new HashSet<>();
values.add(subValue);
tagValueMap.put(subKey, values);
}
}));
return tagValueMap;
});
}
@Override
public Observable<Map<String, String>> getMetricTags(MetricId<?> id) {
return dataAccess.getMetricTags(id)
.take(1)
.map(row -> row.getMap(0, String.class, String.class))
.defaultIfEmpty(new HashMap<>());
}
// Adding/deleting metric tags currently involves writing to three tables - data,
// metrics_idx, and metrics_tags_idx. It might make sense to refactor tag related
// functionality into a separate class.
@Override
public Observable<Void> addTags(Metric<?> metric, Map<String, String> tags) {
try {
checkArgument(tags != null, "Missing tags");
checkArgument(isValidTagMap(tags), "Invalid tags; tag key is required");
} catch (Exception e) {
return Observable.error(e);
}
return dataAccess.addTags(metric, tags).mergeWith(dataAccess.insertIntoMetricsTagsIndex(metric, tags))
.toList().map(l -> null);
}
@Override
public Observable<Void> deleteTags(Metric<?> metric, Set<String> tags) {
return getMetricTags(metric.getMetricId())
.map(loadedTags -> {
loadedTags.keySet().retainAll(tags);
return loadedTags;
})
.flatMap(tagsToDelete -> {
return dataAccess.deleteTags(metric, tagsToDelete.keySet()).mergeWith(
dataAccess.deleteFromMetricsTagsIndex(metric, tagsToDelete)).toList().map(r -> null);
});
}
@Override
public <T> Observable<Void> addDataPoints(MetricType<T> metricType, Observable<Metric<T>> metrics) {
checkArgument(metricType != null, "metricType is null");
// We write to both the data and the metrics_idx tables. Each metric can have one or more data points. We
// currently write a separate batch statement for each metric.
//
// TODO Is there additional overhead of using batch statement when there is only a single insert?
// If there is overhead, then we should avoid using batch statements when the metric has only a single
// data point which could be quite often.
//
// The metrics_idx table stores the metric id along with any tags, and data retention. The update we perform
// here though only inserts the metric id (i.e., name and interval). We need to revisit this logic. The original
// intent for updating metrics_idx here is that even if the client does not explicitly create the metric, we
// still have it in metrics_idx. In reality, I think clients will be explicitly creating metrics. This will
// certainly be the case with the full, integrated hawkular server.
//
// TODO Determine how much overhead is caused by updating metrics_idx on every write
// If there much overhead, then we might not want to update the index every time we insert data. Maybe
// we periodically update it in the background, so we will still be aware of metrics that have not been
// explicitly created, just not necessarily right away.
Meter meter = getInsertMeter(metricType);
Func2<Metric<T>, Integer, Observable<Integer>> inserter = getInserter(metricType);
Observable<Integer> updates = metrics
.filter(metric -> !metric.getDataPoints().isEmpty())
.flatMap(metric -> inserter.call(metric, getTTL(metric.getMetricId()))
.doOnNext(i -> insertedDataPointEvents.onNext(metric)))
.doOnNext(meter::mark);
return updates.map(i -> null);
}
private <T> Meter getInsertMeter(MetricType<T> metricType) {
Meter meter = dataPointInsertMeters.get(metricType);
if (meter == null) {
throw new UnsupportedOperationException(metricType.getText());
}
return meter;
}
@SuppressWarnings("unchecked")
private <T> Func2<Metric<T>, Integer, Observable<Integer>> getInserter(MetricType<T> metricType) {
Func2<Metric<T>, Integer, Observable<Integer>> inserter;
inserter = (Func2<Metric<T>, Integer, Observable<Integer>>) dataPointInserters.get(metricType);
if (inserter == null) {
throw new UnsupportedOperationException(metricType.getText());
}
return inserter;
}
@Override
public <T> Observable<DataPoint<T>> findDataPoints(MetricId<T> metricId, long start, long end, int limit,
Order order) {
checkArgument(isValidTimeRange(start, end), "Invalid time range");
MetricType<T> metricType = metricId.getType();
Timer timer = getDataPointFindTimer(metricType);
Func5<MetricId<T>, Long, Long, Integer, Order, Observable<Row>> finder = getDataPointFinder(metricType);
Func1<Row, DataPoint<T>> mapper = getDataPointMapper(metricType);
return time(timer, () -> finder.call(metricId, start, end, limit, order)
.map(mapper));
}
@Override
public <T> Observable<NamedDataPoint<T>> findDataPoints(List<MetricId<T>> metricIds, long start,
long end, int limit, Order order) {
return Observable.from(metricIds)
.concatMap(id -> findDataPoints(id, start, end, limit, order)
.map(dataPoint -> new NamedDataPoint<>(id.getName(), dataPoint)));
}
@Override
public <T> Observable<NamedDataPoint<T>> findDataPoints(String tenantId, MetricType<T> metricType,
Map<String, String> tagFilters, long start, long end, int limit, Order order) {
return findMetricsWithFilters(tenantId, metricType, tagFilters)
.map(Metric::getMetricId)
.concatMap(id -> findDataPoints(id, start, end, limit, order)
.map(dataPoint -> new NamedDataPoint<>(id.getName(), dataPoint)));
}
private <T> Timer getDataPointFindTimer(MetricType<T> metricType) {
Timer timer = dataPointReadTimers.get(metricType);
if (timer == null) {
throw new UnsupportedOperationException(metricType.getText());
}
return timer;
}
@SuppressWarnings("unchecked")
private <T> Func5<MetricId<T>, Long, Long, Integer, Order, Observable<Row>> getDataPointFinder(
MetricType<T> metricType) {
Func5<MetricId<T>, Long, Long, Integer, Order, Observable<Row>> finder;
finder = (Func5<MetricId<T>, Long, Long, Integer, Order, Observable<Row>>) dataPointFinders
.get(metricType);
if (finder == null) {
throw new UnsupportedOperationException(metricType.getText());
}
return finder;
}
@SuppressWarnings("unchecked")
private <T> Func1<Row, DataPoint<T>> getDataPointMapper(MetricType<T> metricType) {
Func1<Row, DataPoint<T>> mapper = (Func1<Row, DataPoint<T>>) dataPointMappers.get(metricType);
if (mapper == null) {
throw new UnsupportedOperationException(metricType.getText());
}
return mapper;
}
@Override
public Observable<DataPoint<Double>> findRateData(MetricId<? extends Number> id, long start, long end, int limit,
Order order) {
checkArgument(isValidTimeRange(start, end), "Invalid time range");
checkArgument(id.getType() == COUNTER || id.getType() == GAUGE, "Unsupported metric type: %s", id.getType());
// We can't set the limit here, because some pairs can be discarded (counter resets)
// But since the loading is reactive, we're not going to fetch more pages than needed (see #take at the end)
Observable<DataPoint<Double>> dataPoints = this.findDataPoints(id, start, end, 0, order)
.buffer(2, 1) // emit previous/next pairs
// adapt pair to the order of traversal
.map(l -> order == ASC ? l : Lists.reverse(l))
// Drop the last buffer
.filter(l -> l.size() == 2)
// Filter out counter resets
.filter(l -> id.getType() != COUNTER
|| l.get(1).getValue().longValue() >= l.get(0).getValue().longValue())
.map(l -> {
DataPoint<? extends Number> point1 = l.get(0);
DataPoint<? extends Number> point2 = l.get(1);
long timestamp = point2.getTimestamp();
double value_diff = point2.getValue().doubleValue() - point1.getValue().doubleValue();
double time_diff = point2.getTimestamp() - point1.getTimestamp();
double rate = 60_000D * value_diff / time_diff;
return new DataPoint<>(timestamp, rate);
});
return limit <= 0 ? dataPoints : dataPoints.take(limit);
}
@Override
public Observable<NamedDataPoint<Double>> findRateData(List<MetricId<? extends Number>> ids, long start,
long end, int limit, Order order) {
return Observable.from(ids).concatMap(id -> findRateData(id, start, end, limit, order)
.map(dataPoint -> new NamedDataPoint<>(id.getName(), dataPoint)));
}
@Override
public Observable<NamedDataPoint<Double>> findRateData(String tenantId, MetricType<? extends Number> metricType,
Map<String, String> tagFilters, long start, long end, int limit, Order order) {
return findMetricsWithFilters(tenantId, metricType, tagFilters)
.map(Metric::getMetricId)
.concatMap(id -> findRateData(id, start, end, limit, order)
.map(dataPoint -> new NamedDataPoint<>(id.getName(), dataPoint)));
}
@Override
public Observable<List<NumericBucketPoint>> findRateStats(MetricId<? extends Number> id, long start, long end,
Buckets buckets, List<Percentile> percentiles) {
checkArgument(isValidTimeRange(start, end), "Invalid time range");
return findRateData(id, start, end, 0, ASC)
.compose(new NumericBucketPointTransformer(buckets, percentiles));
}
@SuppressWarnings("unchecked")
@Override
public <T> Observable<T> findGaugeData(MetricId<Double> id, long start, long end,
Func1<Observable<DataPoint<Double>>, Observable<T>>... funcs) {
Observable<DataPoint<Double>> dataCache = this.findDataPoints(id, start, end, 0, Order.DESC).cache();
return Observable.from(funcs).flatMap(fn -> fn.call(dataCache));
}
@Override
public Observable<List<NumericBucketPoint>> findGaugeStats(MetricId<Double> metricId, BucketConfig bucketConfig,
List<Percentile> percentiles) {
TimeRange timeRange = bucketConfig.getTimeRange();
checkArgument(isValidTimeRange(timeRange.getStart(), timeRange.getEnd()), "Invalid time range");
return findDataPoints(metricId, timeRange.getStart(), timeRange.getEnd(), 0, Order.DESC)
.compose(new NumericBucketPointTransformer(bucketConfig.getBuckets(), percentiles));
}
@Override
public Observable<Map<String, TaggedBucketPoint>> findGaugeStats(MetricId<Double> metricId,
Map<String, String> tags, long start, long end, List<Percentile> percentiles) {
return findDataPoints(metricId, start, end, 0, Order.DESC)
.compose(new TaggedBucketPointTransformer(tags, percentiles));
}
@Override
public <T extends Number> Observable<List<NumericBucketPoint>> findNumericStats(String tenantId,
MetricType<T> metricType, Map<String, String> tagFilters, long start, long end, Buckets buckets,
List<Percentile> percentiles, boolean stacked) {
checkArgument(isValidTimeRange(start, end), "Invalid time range");
checkArgument(metricType == GAUGE || metricType == GAUGE_RATE
|| metricType == COUNTER || metricType == COUNTER_RATE, "Invalid metric type: %s", metricType);
final boolean isRate = (COUNTER != metricType && GAUGE != metricType);
final MetricType<? extends Number> mType = isRate ? (metricType == GAUGE_RATE ? GAUGE : COUNTER) : metricType;
final Observable<MetricId<? extends Number>> metricIds = findMetricsWithFilters(tenantId, mType, tagFilters)
.map(Metric::getMetricId);
return findNumericStats(metricIds, start, end, buckets, percentiles, stacked, isRate);
}
@Override
public <T extends Number> Observable<List<NumericBucketPoint>> findNumericStats(String tenantId,
MetricType<T> metricType, List<String> metrics, long start, long end, Buckets buckets,
List<Percentile> percentiles, boolean stacked) {
checkArgument(isValidTimeRange(start, end), "Invalid time range");
checkArgument(metricType == GAUGE || metricType == GAUGE_RATE
|| metricType == COUNTER || metricType == COUNTER_RATE, "Invalid metric type: %s", metricType);
final boolean isRate = (COUNTER != metricType && GAUGE != metricType);
final MetricType<? extends Number> mType = isRate ? (metricType == GAUGE_RATE ? GAUGE : COUNTER) : metricType;
final Observable<MetricId<? extends Number>> metricIds = Observable.from(metrics)
.map(name -> new MetricId<>(tenantId, mType, name));
return findNumericStats(metricIds, start, end, buckets, percentiles, stacked, isRate);
}
private Observable<List<NumericBucketPoint>> findNumericStats(
Observable<MetricId<? extends Number>> metrics, long start, long end, Buckets buckets, List<Percentile>
percentiles, boolean stacked, boolean isRate) {
if (!stacked) {
if (!isRate) {
return metrics
.flatMap(metricId -> findDataPoints(metricId, start, end, 0, Order.DESC))
.compose(new NumericBucketPointTransformer(buckets, percentiles));
} else {
return metrics
.flatMap(metricId -> findRateData(metricId, start, end, 0, ASC))
.compose(new NumericBucketPointTransformer(buckets, percentiles));
}
} else {
Observable<Observable<NumericBucketPoint>> individualStats;
if (!isRate) {
individualStats = metrics.map(metricId -> {
return findDataPoints(metricId, start, end, 0, Order.DESC)
.compose(new NumericBucketPointTransformer(buckets, percentiles))
.flatMap(Observable::from);
});
} else {
individualStats = metrics.map(metricId -> {
return findRateData(metricId, start, end, 0, ASC)
.compose(new NumericBucketPointTransformer(buckets, percentiles))
.flatMap(Observable::from);
});
}
return Observable.merge(individualStats)
.groupBy(BucketPoint::getStart)
.flatMap(group -> group.collect(SumNumericBucketPointCollector::new,
SumNumericBucketPointCollector::increment))
.map(SumNumericBucketPointCollector::toBucketPoint)
.toMap(NumericBucketPoint::getStart)
.map(pointMap -> NumericBucketPoint.toList(pointMap, buckets));
}
}
@Override
public Observable<DataPoint<AvailabilityType>> findAvailabilityData(MetricId<AvailabilityType> id, long start,
long end, boolean distinct, int limit, Order order) {
checkArgument(isValidTimeRange(start, end), "Invalid time range");
if (distinct) {
Observable<DataPoint<AvailabilityType>> availabilityData = findDataPoints(id, start, end, 0, order)
.distinctUntilChanged(DataPoint::getValue);
if (limit <= 0) {
return availabilityData;
} else {
return availabilityData.limit(limit);
}
} else {
return findDataPoints(id, start, end, limit, order);
}
}
@Override
public Observable<List<AvailabilityBucketPoint>> findAvailabilityStats(MetricId<AvailabilityType> metricId,
long start, long end, Buckets buckets) {
checkArgument(isValidTimeRange(start, end), "Invalid time range");
return this.findDataPoints(metricId, start, end, 0, ASC)
.groupBy(dataPoint -> buckets.getIndex(dataPoint.getTimestamp()))
.flatMap(group -> group.collect(() -> new AvailabilityDataPointCollector(buckets, group.getKey()),
AvailabilityDataPointCollector::increment))
.map(AvailabilityDataPointCollector::toBucketPoint)
.toMap(AvailabilityBucketPoint::getStart)
.map(pointMap -> AvailabilityBucketPoint.toList(pointMap, buckets));
}
@Override
public Observable<DataPoint<String>> findStringData(MetricId<String> id, long start, long end, boolean distinct,
int limit, Order order) {
checkArgument(isValidTimeRange(start, end));
if (distinct) {
return findDataPoints(id, start, end, limit, order).distinctUntilChanged(DataPoint::getValue);
} else {
return findDataPoints(id, start, end, limit, order);
}
}
@Override
public Observable<List<NumericBucketPoint>> findCounterStats(MetricId<Long> id, long start, long end,
Buckets buckets, List<Percentile> percentiles) {
checkArgument(isValidTimeRange(start, end), "Invalid time range");
return findDataPoints(id, start, end, 0, ASC)
.compose(new NumericBucketPointTransformer(buckets, percentiles));
}
@Override
public Observable<Map<String, TaggedBucketPoint>> findCounterStats(MetricId<Long> metricId,
Map<String, String> tags, long start, long end, List<Percentile> percentiles) {
return findDataPoints(metricId, start, end, 0, ASC)
.compose(new TaggedBucketPointTransformer(tags, percentiles));
}
@Override
public Observable<List<long[]>> getPeriods(MetricId<Double> id, Predicate<Double> predicate, long start,
long end) {
checkArgument(isValidTimeRange(start, end), "Invalid time range");
return dataAccess.findGaugeData(id, start, end, 0, ASC)
.map(Functions::getGaugeDataPoint)
.toList().map(data -> {
List<long[]> periods = new ArrayList<>(data.size());
long[] period = null;
DataPoint<Double> previous = null;
for (DataPoint<Double> d : data) {
if (predicate.test(d.getValue())) {
if (period == null) {
period = new long[2];
period[0] = d.getTimestamp();
}
previous = d;
} else if (period != null) {
period[1] = previous.getTimestamp();
periods.add(period);
period = null;
previous = null;
}
}
if (period != null) {
period[1] = previous.getTimestamp();
periods.add(period);
}
return periods;
});
}
@Override