[ML] Prevent repeated cluster state changes when creating index templates (elastic/x-pack-elasticsearch#687)
Switched the order of the local atomic flag check and cluster state check, based on the observation that we used to sometimes get a storm of cluster state updates on initial startup, due to a race between checking for the presence of an index template and starting to create one. Original commit: elastic/x-pack-elasticsearch@7ae83648ce
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@ -40,7 +40,6 @@ import org.elasticsearch.xpack.ml.notifications.Auditor;
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import java.io.IOException;
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import java.util.Collections;
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import java.util.concurrent.CountDownLatch;
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import java.util.concurrent.atomic.AtomicBoolean;
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import java.util.function.BiConsumer;
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@ -114,8 +113,8 @@ public class MachineLearningTemplateRegistry extends AbstractComponent implemen
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}
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private void addMlNotificationsIndexTemplate(MetaData metaData) {
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if (templateIsPresentAndUpToDate(Auditor.NOTIFICATIONS_INDEX, metaData) == false) {
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if (putMlNotificationsIndexTemplateCheck.compareAndSet(false, true)) {
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if (putMlNotificationsIndexTemplateCheck.compareAndSet(false, true)) {
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if (templateIsPresentAndUpToDate(Auditor.NOTIFICATIONS_INDEX, metaData) == false) {
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threadPool.executor(ThreadPool.Names.GENERIC).execute(() -> {
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putNotificationMessageIndexTemplate((result, error) -> {
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putMlNotificationsIndexTemplateCheck.set(false);
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@ -127,13 +126,15 @@ public class MachineLearningTemplateRegistry extends AbstractComponent implemen
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}
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});
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});
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} else {
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putMlNotificationsIndexTemplateCheck.set(false);
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}
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}
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}
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private void addMlMetaIndexTemplate(MetaData metaData) {
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if (templateIsPresentAndUpToDate(AnomalyDetectorsIndex.ML_META_INDEX, metaData) == false) {
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if (putMlMetaIndexTemplateCheck.compareAndSet(false, true)) {
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if (putMlMetaIndexTemplateCheck.compareAndSet(false, true)) {
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if (templateIsPresentAndUpToDate(AnomalyDetectorsIndex.ML_META_INDEX, metaData) == false) {
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threadPool.executor(ThreadPool.Names.GENERIC).execute(() -> {
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putMetaIndexTemplate((result, error) -> {
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putMlMetaIndexTemplateCheck.set(false);
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@ -145,14 +146,16 @@ public class MachineLearningTemplateRegistry extends AbstractComponent implemen
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}
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});
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});
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} else {
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putMlMetaIndexTemplateCheck.set(false);
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}
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}
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}
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private void addStateIndexTemplate(MetaData metaData) {
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String stateIndexName = AnomalyDetectorsIndex.jobStateIndexName();
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if (templateIsPresentAndUpToDate(stateIndexName, metaData) == false) {
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if (putStateIndexTemplateCheck.compareAndSet(false, true)) {
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if (putStateIndexTemplateCheck.compareAndSet(false, true)) {
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if (templateIsPresentAndUpToDate(stateIndexName, metaData) == false) {
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threadPool.executor(ThreadPool.Names.GENERIC).execute(() -> {
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putJobStateIndexTemplate((result, error) -> {
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putStateIndexTemplateCheck.set(false);
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@ -163,13 +166,15 @@ public class MachineLearningTemplateRegistry extends AbstractComponent implemen
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}
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});
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});
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} else {
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putStateIndexTemplateCheck.set(false);
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}
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}
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}
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private void addResultsIndexTemplate(MetaData metaData) {
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if (templateIsPresentAndUpToDate(AnomalyDetectorsIndex.jobResultsIndexPrefix(), metaData) == false) {
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if (putResultsIndexTemplateCheck.compareAndSet(false, true)) {
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if (putResultsIndexTemplateCheck.compareAndSet(false, true)) {
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if (templateIsPresentAndUpToDate(AnomalyDetectorsIndex.jobResultsIndexPrefix(), metaData) == false) {
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threadPool.executor(ThreadPool.Names.GENERIC).execute(() -> {
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putJobResultsIndexTemplate((result, error) -> {
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putResultsIndexTemplateCheck.set(false);
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@ -182,6 +187,8 @@ public class MachineLearningTemplateRegistry extends AbstractComponent implemen
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}
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});
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});
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} else {
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putResultsIndexTemplateCheck.set(false);
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}
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}
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}
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@ -148,7 +148,7 @@ public class MachineLearningTemplateRegistryTests extends ESTestCase {
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verify(threadPool, times(0)).executor(anyString());
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assertFalse(templateRegistry.putMlNotificationsIndexTemplateCheck.get());
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assertFalse(templateRegistry.putMlMetaIndexTemplateCheck.get());
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assertFalse(templateRegistry.putMlNotificationsIndexTemplateCheck.get());
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assertFalse(templateRegistry.putStateIndexTemplateCheck.get());
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assertFalse(templateRegistry.putResultsIndexTemplateCheck.get());
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}
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