[ML] Use default number_of_shards for results and state indices (elastic/x-pack-elasticsearch#849)
Like other x-pack features, these indices are best created with default number_of_shards. Users can adjust the setting by editing the respective templates. relates elastic/x-pack-elasticsearch#723 Original commit: elastic/x-pack-elasticsearch@1d688993be
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@ -274,9 +274,6 @@ public class MachineLearningTemplateRegistry extends AbstractComponent implemen
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*/
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Settings.Builder mlResultsIndexSettings() {
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return Settings.builder()
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// Our indexes are small and one shard puts the
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// least possible burden on Elasticsearch
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.put(IndexMetaData.SETTING_NUMBER_OF_SHARDS, 1)
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.put(IndexMetaData.SETTING_AUTO_EXPAND_REPLICAS, "0-2")
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.put(UnassignedInfo.INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), delayedNodeTimeOutSetting)
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// Sacrifice durability for performance: in the event of power
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@ -315,9 +312,6 @@ public class MachineLearningTemplateRegistry extends AbstractComponent implemen
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Settings.Builder mlStateIndexSettings() {
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// TODO review these settings
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return Settings.builder()
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// Our indexes are small and one shard puts the
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// least possible burden on Elasticsearch
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.put(IndexMetaData.SETTING_NUMBER_OF_SHARDS, 1)
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.put(IndexMetaData.SETTING_AUTO_EXPAND_REPLICAS, "0-2")
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.put(UnassignedInfo.INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), delayedNodeTimeOutSetting)
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// Sacrifice durability for performance: in the event of power
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@ -39,14 +39,14 @@ import org.junit.Before;
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import org.mockito.ArgumentCaptor;
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import java.net.InetAddress;
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import java.util.Arrays;
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import java.util.Collections;
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import java.util.List;
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import java.util.concurrent.ExecutorService;
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import static org.elasticsearch.mock.orig.Mockito.doAnswer;
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import static org.elasticsearch.mock.orig.Mockito.times;
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import static org.elasticsearch.xpack.ml.job.persistence.AnomalyDetectorsIndex.ML_META_INDEX;
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import static org.hamcrest.Matchers.is;
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import static org.hamcrest.Matchers.nullValue;
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import static org.mockito.Matchers.any;
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import static org.mockito.Matchers.anyString;
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import static org.mockito.Mockito.mock;
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@ -156,7 +156,7 @@ public class MachineLearningTemplateRegistryTests extends ESTestCase {
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new MachineLearningTemplateRegistry(createSettings(), clusterService, client, threadPool);
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Settings settings = templateRegistry.mlResultsIndexSettings().build();
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assertEquals("1", settings.get("index.number_of_shards"));
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assertThat(settings.get("index.number_of_shards"), is(nullValue()));
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assertEquals("0-2", settings.get("index.auto_expand_replicas"));
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assertEquals("async", settings.get("index.translog.durability"));
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assertEquals("true", settings.get("index.mapper.dynamic"));
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@ -167,11 +167,11 @@ public class MachineLearningTemplateRegistryTests extends ESTestCase {
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public void testMlAuditIndexSettings() {
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MachineLearningTemplateRegistry templateRegistry =
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new MachineLearningTemplateRegistry(createSettings(), clusterService, client, threadPool);
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Settings settings = templateRegistry.mlResultsIndexSettings().build();
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Settings settings = templateRegistry.mlNotificationIndexSettings().build();
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assertEquals(4, settings.size());
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assertEquals("1", settings.get("index.number_of_shards"));
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assertEquals("0-2", settings.get("index.auto_expand_replicas"));
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assertEquals("async", settings.get("index.translog.durability"));
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assertEquals("true", settings.get("index.mapper.dynamic"));
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assertEquals("2s", settings.get("index.unassigned.node_left.delayed_timeout"));
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}
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@ -181,7 +181,7 @@ public class MachineLearningTemplateRegistryTests extends ESTestCase {
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new MachineLearningTemplateRegistry(createSettings(), clusterService, client, threadPool);
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Settings settings = templateRegistry.mlResultsIndexSettings().build();
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assertEquals("1", settings.get("index.number_of_shards"));
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assertThat(settings.get("index.number_of_shards"), is(nullValue()));
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assertEquals("0-2", settings.get("index.auto_expand_replicas"));
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assertEquals("async", settings.get("index.translog.durability"));
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assertEquals("2s", settings.get("index.unassigned.node_left.delayed_timeout"));
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