Performance: optimize IDs read of ElasticSearch storage options(6 and 7) (#7307)
* Performance: optimize IDs read of ElasticSearch storage options(6 and 7). Use the physical index rather than template alias name.
This commit is contained in:
parent
2870b222b4
commit
c59ee90029
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@ -36,6 +36,7 @@ jobs:
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if: (github.event_name == 'schedule' && github.repository == 'apache/skywalking') || (github.event_name != 'schedule')
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name: Log
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runs-on: ubuntu-latest
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timeout-minutes: 90
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strategy:
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matrix:
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storage: ['h2', 'mysql', 'es6', 'es7', 'influxdb']
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@ -92,6 +92,8 @@ Release Notes.
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more chances including duplicate elements. Don't need this as indicate anymore.
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* Reduce the flush period of hour and day level metrics, only run in 4 times of regular persistent period. This means
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default flush period of hour and day level metrics are 25s * 4.
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* Performance: optimize IDs read of ElasticSearch storage options(6 and 7). Use the physical index rather than template
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alias name.
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#### UI
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@ -39,4 +39,11 @@ public @interface MetricsExtension {
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* @return true if this metrics data could be updated.
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*/
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boolean supportUpdate();
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/**
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* @return true means the ID of this metric entity would generate timestamp related ID, such as 20170128-serviceId.
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* If as false, then, ID would be like serviceId directly. This is typically used for metadata level metric, such as
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* {@link org.apache.skywalking.oap.server.core.analysis.manual.service.ServiceTraffic}
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*/
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boolean timeRelativeID() default false;
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}
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@ -77,7 +77,8 @@ public class ManagementStreamProcessor implements StreamProcessor<ManagementData
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}
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ModelCreator modelSetter = moduleDefineHolder.find(CoreModule.NAME).provider().getService(ModelCreator.class);
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Model model = modelSetter.add(streamClass, stream.scopeId(), new Storage(stream.name(), DownSampling.None), false);
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// Management stream doesn't read data from database during the persistent process. Keep the timeRelativeID == false always.
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Model model = modelSetter.add(streamClass, stream.scopeId(), new Storage(stream.name(), false, DownSampling.None), false);
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final ManagementPersistentWorker persistentWorker = new ManagementPersistentWorker(moduleDefineHolder, model, managementDAO);
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workers.put(streamClass, persistentWorker);
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@ -148,19 +148,21 @@ public class MetricsStreamProcessor implements StreamProcessor<Metrics> {
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*/
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boolean supportDownSampling = true;
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boolean supportUpdate = true;
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boolean timeRelativeID = true;
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if (metricsExtension != null) {
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supportDownSampling = metricsExtension.supportDownSampling();
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supportUpdate = metricsExtension.supportUpdate();
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timeRelativeID = metricsExtension.timeRelativeID();
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}
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if (supportDownSampling) {
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if (configService.shouldToHour()) {
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Model model = modelSetter.add(
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metricsClass, stream.getScopeId(), new Storage(stream.getName(), DownSampling.Hour), false);
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metricsClass, stream.getScopeId(), new Storage(stream.getName(), timeRelativeID, DownSampling.Hour), false);
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hourPersistentWorker = downSamplingWorker(moduleDefineHolder, metricsDAO, model, supportUpdate);
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}
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if (configService.shouldToDay()) {
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Model model = modelSetter.add(
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metricsClass, stream.getScopeId(), new Storage(stream.getName(), DownSampling.Day), false);
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metricsClass, stream.getScopeId(), new Storage(stream.getName(), timeRelativeID, DownSampling.Day), false);
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dayPersistentWorker = downSamplingWorker(moduleDefineHolder, metricsDAO, model, supportUpdate);
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}
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@ -169,7 +171,7 @@ public class MetricsStreamProcessor implements StreamProcessor<Metrics> {
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}
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Model model = modelSetter.add(
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metricsClass, stream.getScopeId(), new Storage(stream.getName(), DownSampling.Minute), false);
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metricsClass, stream.getScopeId(), new Storage(stream.getName(), timeRelativeID, DownSampling.Minute), false);
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MetricsPersistentWorker minutePersistentWorker = minutePersistentWorker(
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moduleDefineHolder, metricsDAO, model, transWorker, supportUpdate);
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@ -77,7 +77,8 @@ public class NoneStreamProcessor implements StreamProcessor<NoneStream> {
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}
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ModelCreator modelSetter = moduleDefineHolder.find(CoreModule.NAME).provider().getService(ModelCreator.class);
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Model model = modelSetter.add(streamClass, stream.scopeId(), new Storage(stream.name(), DownSampling.Second), true);
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// None stream doesn't read data from database during the persistent process. Keep the timeRelativeID == false always.
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Model model = modelSetter.add(streamClass, stream.scopeId(), new Storage(stream.name(), false, DownSampling.Second), true);
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final NoneStreamPersistentWorker persistentWorker = new NoneStreamPersistentWorker(moduleDefineHolder, model, noneStream);
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workers.put(streamClass, persistentWorker);
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@ -73,8 +73,9 @@ public class RecordStreamProcessor implements StreamProcessor<Record> {
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}
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ModelCreator modelSetter = moduleDefineHolder.find(CoreModule.NAME).provider().getService(ModelCreator.class);
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// Record stream doesn't read data from database during the persistent process. Keep the timeRelativeID == false always.
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Model model = modelSetter.add(
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recordClass, stream.scopeId(), new Storage(stream.name(), DownSampling.Second), true);
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recordClass, stream.scopeId(), new Storage(stream.name(), false, DownSampling.Second), true);
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RecordPersistentWorker persistentWorker = new RecordPersistentWorker(moduleDefineHolder, model, recordDAO);
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workers.put(recordClass, persistentWorker);
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@ -67,7 +67,9 @@ public class TopNStreamProcessor implements StreamProcessor<TopN> {
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@Override
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@SuppressWarnings("unchecked")
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public void create(ModuleDefineHolder moduleDefineHolder, Stream stream, Class<? extends TopN> topNClass) throws StorageException {
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public void create(ModuleDefineHolder moduleDefineHolder,
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Stream stream,
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Class<? extends TopN> topNClass) throws StorageException {
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final StorageBuilderFactory storageBuilderFactory = moduleDefineHolder.find(StorageModule.NAME)
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.provider()
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.getService(StorageBuilderFactory.class);
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@ -83,8 +85,9 @@ public class TopNStreamProcessor implements StreamProcessor<TopN> {
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}
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ModelCreator modelSetter = moduleDefineHolder.find(CoreModule.NAME).provider().getService(ModelCreator.class);
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// Top N metrics doesn't read data from database during the persistent process. Keep the timeRelativeID == false always.
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Model model = modelSetter.add(
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topNClass, stream.scopeId(), new Storage(stream.name(), DownSampling.Second), true);
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topNClass, stream.scopeId(), new Storage(stream.name(), false, DownSampling.Second), true);
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TopNWorker persistentWorker = new TopNWorker(
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moduleDefineHolder, model, topSize, topNWorkerReportCycle * 60 * 1000L, recordDAO);
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@ -19,6 +19,7 @@
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package org.apache.skywalking.oap.server.core.storage;
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import java.io.IOException;
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import java.util.List;
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import org.apache.skywalking.oap.server.core.analysis.metrics.Metrics;
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import org.apache.skywalking.oap.server.core.storage.model.Model;
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@ -31,8 +32,21 @@ public interface IHistoryDeleteDAO extends DAO {
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*
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* @param model data entity.
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* @param timeBucketColumnName column name represents the time. Right now, always {@link Metrics#TIME_BUCKET}
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* @param ttl the number of days should be kept
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* @param ttl the number of days should be kept
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* @throws IOException when error happens in the deletion process.
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*/
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void deleteHistory(Model model, String timeBucketColumnName, int ttl) throws IOException;
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/**
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* Inspection is also driven by the TTL timer. This method is optional to implement, typically, this could be used
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* to do routing inspection for timer series data, and get the latest status of existing data boundaries(oldest and
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* latest).
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*
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* @param models model list
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* @param timeBucketColumnName column name represents the time. Right now, always {@link Metrics#TIME_BUCKET}
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* @throws IOException when error happens in the deletion process.
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*/
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default void inspect(List<Model> models, String timeBucketColumnName) throws IOException {
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}
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}
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@ -25,5 +25,6 @@ import org.apache.skywalking.oap.server.core.analysis.DownSampling;
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@RequiredArgsConstructor
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public class Storage {
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private final String modelName;
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private final boolean timeRelativeID;
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private final DownSampling downsampling;
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}
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@ -38,6 +38,7 @@ public class Model {
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private final boolean superDataset;
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private final boolean isTimeSeries;
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private final String aggregationFunctionName;
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private final boolean timeRelativeID;
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public Model(final String name,
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final List<ModelColumn> columns,
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@ -46,7 +47,8 @@ public class Model {
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final DownSampling downsampling,
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final boolean record,
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final boolean superDataset,
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final String aggregationFunctionName) {
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final String aggregationFunctionName,
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boolean timeRelativeID) {
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this.name = name;
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this.columns = columns;
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this.extraQueryIndices = extraQueryIndices;
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@ -56,5 +58,6 @@ public class Model {
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this.record = record;
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this.superDataset = superDataset;
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this.aggregationFunctionName = aggregationFunctionName;
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this.timeRelativeID = timeRelativeID;
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}
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}
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@ -63,7 +63,8 @@ public class StorageModels implements IModelManager, ModelCreator, ModelManipula
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storage.getModelName(), modelColumns, extraQueryIndices, scopeId,
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storage.getDownsampling(), record,
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isSuperDatasetModel(aClass),
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FunctionCategory.uniqueFunctionName(aClass)
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FunctionCategory.uniqueFunctionName(aClass),
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storage.isTimeRelativeID()
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);
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this.followColumnNameRules(model);
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@ -72,16 +72,25 @@ public enum DataTTLKeeperTimer {
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* node list from {@link ClusterNodesQuery}.
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*/
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private void delete() {
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List<RemoteInstance> remoteInstances = clusterNodesQuery.queryRemoteNodes();
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if (CollectionUtils.isNotEmpty(remoteInstances) && !remoteInstances.get(0).getAddress().isSelf()) {
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log.info("The selected first getAddress is {}. Skip.", remoteInstances.get(0).toString());
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return;
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}
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log.info("Beginning to remove expired metrics from the storage.");
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IModelManager modelGetter = moduleManager.find(CoreModule.NAME).provider().getService(IModelManager.class);
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List<Model> models = modelGetter.allModels();
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models.forEach(this::execute);
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try {
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List<RemoteInstance> remoteInstances = clusterNodesQuery.queryRemoteNodes();
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if (CollectionUtils.isNotEmpty(remoteInstances) && !remoteInstances.get(0).getAddress().isSelf()) {
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log.info(
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"The selected first getAddress is {}. The remove stage is skipped.",
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remoteInstances.get(0).toString()
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);
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return;
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}
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log.info("Beginning to remove expired metrics from the storage.");
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models.forEach(this::execute);
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} finally {
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log.info("Beginning to inspect data boundaries.");
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this.inspect(models);
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}
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}
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private void execute(Model model) {
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@ -100,4 +109,15 @@ public enum DataTTLKeeperTimer {
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log.error(e.getMessage(), e);
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}
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}
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private void inspect(List<Model> models) {
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try {
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moduleManager.find(StorageModule.NAME)
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.provider()
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.getService(IHistoryDeleteDAO.class)
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.inspect(models, Metrics.TIME_BUCKET);
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} catch (IOException e) {
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log.error(e.getMessage(), e);
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}
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}
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}
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@ -53,7 +53,7 @@ public class StorageModelsTest {
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public void testStorageModels() throws StorageException {
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StorageModels models = new StorageModels();
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models.add(TestModel.class, -1,
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new Storage("StorageModelsTest", DownSampling.Hour),
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new Storage("StorageModelsTest", false, DownSampling.Hour),
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false
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);
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@ -0,0 +1,48 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*
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*/
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package org.apache.skywalking.oap.server.storage.plugin.elasticsearch;
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import java.util.HashSet;
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import java.util.List;
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import lombok.extern.slf4j.Slf4j;
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/**
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* IndicesMetadataCache hosts all pseudo real time metadata of indices.
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*/
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@Slf4j
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public class IndicesMetadataCache {
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public static IndicesMetadataCache INSTANCE = new IndicesMetadataCache();
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private volatile HashSet<String> existingIndices;
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private IndicesMetadataCache() {
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existingIndices = new HashSet<>();
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}
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public void update(List<String> indices) {
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existingIndices = new HashSet<>(indices);
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}
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/**
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* @return true if given index name exists currently.
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*/
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public boolean isExisting(String index) {
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return existingIndices.contains(index);
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}
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}
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@ -26,6 +26,7 @@ import org.apache.skywalking.oap.server.core.analysis.DownSampling;
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import org.apache.skywalking.oap.server.core.storage.IHistoryDeleteDAO;
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import org.apache.skywalking.oap.server.core.storage.model.Model;
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import org.apache.skywalking.oap.server.library.client.elasticsearch.ElasticSearchClient;
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import org.apache.skywalking.oap.server.storage.plugin.elasticsearch.IndicesMetadataCache;
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import org.joda.time.DateTime;
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@Slf4j
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@ -73,4 +74,37 @@ public class HistoryDeleteEsDAO extends EsDAO implements IHistoryDeleteDAO {
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client.createIndex(latestIndex);
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}
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}
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@Override
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public void inspect(List<Model> models, String timeBucketColumnName) {
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List<String> indices = new ArrayList<>();
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models.forEach(model -> {
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if (!model.isTimeSeries()) {
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return;
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}
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ElasticSearchClient client = getClient();
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if (!model.isRecord()) {
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if (!DownSampling.Minute.equals(model.getDownsampling())) {
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/*
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* As all metrics data in different down sampling rule of one day are in the same index, the inspection
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* operation is only required to run once.
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*/
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return;
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}
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}
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String tableName = IndexController.INSTANCE.getTableName(model);
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List<String> indexes;
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try {
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indexes = client.retrievalIndexByAliases(tableName);
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} catch (IOException e) {
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log.error(e.getMessage(), e);
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return;
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}
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indices.addAll(indexes);
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});
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IndicesMetadataCache.INSTANCE.update(indices);
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}
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}
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@ -20,7 +20,10 @@ package org.apache.skywalking.oap.server.storage.plugin.elasticsearch.base;
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.List;
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import java.util.Map;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.skywalking.oap.server.core.analysis.metrics.Metrics;
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import org.apache.skywalking.oap.server.core.storage.IMetricsDAO;
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import org.apache.skywalking.oap.server.core.storage.StorageHashMapBuilder;
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@ -28,9 +31,13 @@ import org.apache.skywalking.oap.server.core.storage.model.Model;
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import org.apache.skywalking.oap.server.library.client.elasticsearch.ElasticSearchClient;
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import org.apache.skywalking.oap.server.library.client.request.InsertRequest;
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import org.apache.skywalking.oap.server.library.client.request.UpdateRequest;
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import org.apache.skywalking.oap.server.storage.plugin.elasticsearch.IndicesMetadataCache;
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import org.elasticsearch.action.search.SearchResponse;
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import org.elasticsearch.common.xcontent.XContentBuilder;
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import static java.util.stream.Collectors.groupingBy;
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@Slf4j
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public class MetricsEsDAO extends EsDAO implements IMetricsDAO {
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protected final StorageHashMapBuilder<Metrics> storageBuilder;
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@ -42,16 +49,54 @@ public class MetricsEsDAO extends EsDAO implements IMetricsDAO {
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@Override
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public List<Metrics> multiGet(Model model, List<Metrics> metrics) throws IOException {
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String tableName = IndexController.INSTANCE.getTableName(model);
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String[] ids = metrics.stream()
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.map(item -> IndexController.INSTANCE.generateDocId(model, item.id()))
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.toArray(String[]::new);
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SearchResponse response = getClient().ids(tableName, ids);
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List<Metrics> result = new ArrayList<>(response.getHits().getHits().length);
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for (int i = 0; i < response.getHits().getHits().length; i++) {
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Metrics source = storageBuilder.storage2Entity(response.getHits().getAt(i).getSourceAsMap());
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result.add(source);
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}
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Map<String, List<Metrics>> groupIndices
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= metrics.stream()
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.collect(
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groupingBy(metric -> {
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if (model.isTimeRelativeID()) {
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// Try to use with timestamp index name(write index),
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// if latest cache shows this name doesn't exist,
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// then fail back to template alias name.
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// This should only happen in very rare case, such as this is the time to create new index
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// as a new day comes, and the index cache is pseudo real time.
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// This case doesn't affect the result, just has lower performance due to using the alias name.
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// Another case is that a removed index showing existing also due to latency,
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// which could cause multiGet fails
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// but this should not happen in the real runtime, TTL timer only removed the oldest indices,
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// which should not have an update/insert.
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String indexName = TimeSeriesUtils.writeIndexName(model, metric.getTimeBucket());
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// Format the name to follow the global physical index naming policy.
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if (!IndicesMetadataCache.INSTANCE.isExisting(
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getClient().formatIndexName(indexName))) {
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indexName = IndexController.INSTANCE.getTableName(model);
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}
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return indexName;
|
||||
} else {
|
||||
// Metadata level metrics, always use alias name, due to the physical index of the records
|
||||
// can't be located through timestamp.
|
||||
return IndexController.INSTANCE.getTableName(model);
|
||||
}
|
||||
})
|
||||
);
|
||||
|
||||
// The groupIndices mostly include one or two group,
|
||||
// the current day and the T-1 day(if at the edge between days)
|
||||
List<Metrics> result = new ArrayList<>(metrics.size());
|
||||
groupIndices.forEach((tableName, metricList) -> {
|
||||
String[] ids = metrics.stream()
|
||||
.map(item -> IndexController.INSTANCE.generateDocId(model, item.id()))
|
||||
.toArray(String[]::new);
|
||||
try {
|
||||
SearchResponse response = getClient().ids(tableName, ids);
|
||||
for (int i = 0; i < response.getHits().getHits().length; i++) {
|
||||
Metrics source = storageBuilder.storage2Entity(response.getHits().getAt(i).getSourceAsMap());
|
||||
result.add(source);
|
||||
}
|
||||
} catch (IOException e) {
|
||||
log.error("multiGet id=" + Arrays.toString(ids) + " from " + tableName + " fails.", e);
|
||||
}
|
||||
});
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -37,13 +37,13 @@ public class TimeSeriesUtilsTest {
|
|||
@Before
|
||||
public void prepare() {
|
||||
superDatasetModel = new Model("superDatasetModel", Lists.newArrayList(), Lists.newArrayList(),
|
||||
0, DownSampling.Minute, true, true, ""
|
||||
0, DownSampling.Minute, true, true, "", true
|
||||
);
|
||||
normalRecordModel = new Model("normalRecordModel", Lists.newArrayList(), Lists.newArrayList(),
|
||||
0, DownSampling.Minute, true, false, ""
|
||||
0, DownSampling.Minute, true, false, "", true
|
||||
);
|
||||
normalMetricsModel = new Model("normalMetricsModel", Lists.newArrayList(), Lists.newArrayList(),
|
||||
0, DownSampling.Minute, false, false, ""
|
||||
0, DownSampling.Minute, false, false, "", true
|
||||
);
|
||||
TimeSeriesUtils.setSUPER_DATASET_DAY_STEP(1);
|
||||
TimeSeriesUtils.setDAY_STEP(3);
|
||||
|
|
|
|||
Loading…
Reference in New Issue