Fix some mappings on the .ml indexes (elastic/elasticsearch#870)
Closes elastic/elasticsearch#814 Original commit: elastic/x-pack-elasticsearch@206efacc4c
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3f9741b85f
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@ -29,7 +29,6 @@ import org.elasticsearch.xpack.ml.job.results.Result;
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import java.io.IOException;
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import java.util.Collection;
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import java.util.Map;
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import static org.elasticsearch.common.xcontent.XContentFactory.jsonBuilder;
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@ -84,7 +83,6 @@ public class ElasticsearchMappings {
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static final String INTEGER = "integer";
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static final String KEYWORD = "keyword";
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static final String LONG = "long";
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static final String OBJECT = "object";
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static final String TEXT = "text";
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private ElasticsearchMappings() {
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@ -142,6 +140,9 @@ public class ElasticsearchMappings {
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.startObject(Bucket.ANOMALY_SCORE.getPreferredName())
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.field(TYPE, DOUBLE)
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.endObject()
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.startObject(BucketInfluencer.RAW_ANOMALY_SCORE.getPreferredName())
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.field(TYPE, DOUBLE)
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.endObject()
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.startObject(Bucket.INITIAL_ANOMALY_SCORE.getPreferredName())
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.field(TYPE, DOUBLE)
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.endObject()
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@ -187,12 +188,39 @@ public class ElasticsearchMappings {
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.startObject(Bucket.BUCKET_INFLUENCERS.getPreferredName())
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.field(TYPE, NESTED)
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.startObject(PROPERTIES)
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.startObject(Job.ID.getPreferredName())
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.field(TYPE, KEYWORD)
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.endObject()
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.startObject(Result.RESULT_TYPE.getPreferredName())
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.field(TYPE, KEYWORD)
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.endObject()
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.startObject(BucketInfluencer.INFLUENCER_FIELD_NAME.getPreferredName())
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.field(TYPE, KEYWORD)
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.endObject()
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.startObject(BucketInfluencer.INITIAL_ANOMALY_SCORE.getPreferredName())
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.field(TYPE, DOUBLE)
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.endObject()
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.startObject(BucketInfluencer.ANOMALY_SCORE.getPreferredName())
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.field(TYPE, DOUBLE)
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.endObject()
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.startObject(BucketInfluencer.RAW_ANOMALY_SCORE.getPreferredName())
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.field(TYPE, DOUBLE)
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.endObject()
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.startObject(BucketInfluencer.PROBABILITY.getPreferredName())
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.field(TYPE, DOUBLE)
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.endObject()
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.startObject(BucketInfluencer.TIMESTAMP.getPreferredName())
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.field(TYPE, DATE)
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.endObject()
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.startObject(BucketInfluencer.BUCKET_SPAN.getPreferredName())
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.field(TYPE, LONG)
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.endObject()
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.startObject(BucketInfluencer.SEQUENCE_NUM.getPreferredName())
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.field(TYPE, INTEGER)
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.endObject()
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.startObject(BucketInfluencer.IS_INTERIM.getPreferredName())
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.field(TYPE, BOOLEAN)
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.endObject()
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.endObject()
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.endObject()
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@ -486,7 +514,7 @@ public class ElasticsearchMappings {
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.field(TYPE, TEXT)
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.endObject()
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.startObject(CategoryDefinition.REGEX.getPreferredName())
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.field(TYPE, TEXT)
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.field(TYPE, KEYWORD)
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.endObject()
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.startObject(CategoryDefinition.MAX_MATCHING_LENGTH.getPreferredName())
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.field(TYPE, LONG)
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@ -530,9 +558,6 @@ public class ElasticsearchMappings {
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.startObject(ModelSnapshot.TIMESTAMP.getPreferredName())
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.field(TYPE, DATE)
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.endObject()
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// "description" is analyzed so that it has the same
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// mapping as a user field of the same name - this means
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// it doesn't have to be a reserved field name
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.startObject(ModelSnapshot.DESCRIPTION.getPreferredName())
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.field(TYPE, TEXT)
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.endObject()
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@ -549,24 +574,20 @@ public class ElasticsearchMappings {
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.startObject(PROPERTIES)
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.startObject(Job.ID.getPreferredName())
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.field(TYPE, KEYWORD)
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.endObject()
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.startObject(Result.RESULT_TYPE.getPreferredName())
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.field(TYPE, KEYWORD)
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.endObject()
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.startObject(ModelSizeStats.TIMESTAMP_FIELD.getPreferredName())
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.field(TYPE, DATE)
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.endObject();
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addModelSizeStatsFieldsToMapping(builder);
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builder.endObject()
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builder.endObject()
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.endObject()
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.startObject(Quantiles.TYPE.getPreferredName())
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.startObject(PROPERTIES)
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.startObject(Job.ID.getPreferredName())
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.field(TYPE, KEYWORD)
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.endObject()
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.startObject(Quantiles.TIMESTAMP.getPreferredName())
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.field(TYPE, DATE)
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.endObject()
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.startObject(Quantiles.QUANTILE_STATE.getPreferredName())
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.field(TYPE, TEXT)
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.endObject()
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.endObject()
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.field(ENABLED, false)
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.endObject()
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.startObject(ModelSnapshot.LATEST_RECORD_TIME.getPreferredName())
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.field(TYPE, DATE)
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@ -618,6 +639,15 @@ public class ElasticsearchMappings {
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.startObject()
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.startObject(AuditMessage.TYPE.getPreferredName())
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.startObject(PROPERTIES)
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.startObject(Job.ID.getPreferredName())
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.field(TYPE, KEYWORD)
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.endObject()
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.startObject(AuditMessage.LEVEL.getPreferredName())
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.field(TYPE, KEYWORD)
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.endObject()
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.startObject(AuditMessage.MESSAGE.getPreferredName())
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.field(TYPE, TEXT)
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.endObject()
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.startObject(AuditMessage.TIMESTAMP.getPreferredName())
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.field(TYPE, DATE)
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.endObject()
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@ -136,7 +136,7 @@ public final class ReservedFieldNames {
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ModelSizeStats.MEMORY_STATUS_FIELD.getPreferredName(),
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ModelSizeStats.LOG_TIME_FIELD.getPreferredName(),
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// ModelSnapshot.DESCRIPTION is not reserved because it is an analyzed string
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ModelSnapshot.DESCRIPTION.getPreferredName(),
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ModelSnapshot.RESTORE_PRIORITY.getPreferredName(),
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ModelSnapshot.SNAPSHOT_ID.getPreferredName(),
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ModelSnapshot.SNAPSHOT_DOC_COUNT.getPreferredName(),
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@ -145,8 +145,6 @@ public final class ReservedFieldNames {
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PerPartitionMaxProbabilities.PER_PARTITION_MAX_PROBABILITIES.getPreferredName(),
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Quantiles.QUANTILE_STATE.getPreferredName(),
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Result.RESULT_TYPE.getPreferredName()
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};
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@ -8,21 +8,14 @@ package org.elasticsearch.xpack.ml.job.persistence;
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import org.elasticsearch.common.xcontent.XContentBuilder;
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import org.elasticsearch.common.xcontent.XContentParser;
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import org.elasticsearch.test.ESTestCase;
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import org.elasticsearch.xpack.ml.job.process.autodetect.state.CategorizerState;
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import org.elasticsearch.xpack.ml.job.process.autodetect.state.DataCounts;
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import org.elasticsearch.xpack.ml.job.config.Job;
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import org.elasticsearch.xpack.ml.job.process.autodetect.state.ModelSizeStats;
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import org.elasticsearch.xpack.ml.job.process.autodetect.state.ModelSnapshot;
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import org.elasticsearch.xpack.ml.job.process.autodetect.state.ModelState;
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import org.elasticsearch.xpack.ml.job.results.AnomalyRecord;
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import org.elasticsearch.xpack.ml.notifications.AuditActivity;
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import org.elasticsearch.xpack.ml.notifications.AuditMessage;
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import org.elasticsearch.xpack.ml.job.metadata.Allocation;
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import org.elasticsearch.xpack.ml.job.process.autodetect.state.Quantiles;
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import org.elasticsearch.xpack.ml.job.results.AnomalyRecord;
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import org.elasticsearch.xpack.ml.job.results.CategoryDefinition;
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import org.elasticsearch.xpack.ml.job.results.ReservedFieldNames;
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import org.elasticsearch.xpack.ml.job.results.Result;
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import org.elasticsearch.xpack.ml.job.config.MlFilter;
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import com.fasterxml.jackson.core.JsonFactory;
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import com.fasterxml.jackson.core.JsonParseException;
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@ -81,52 +74,22 @@ public class ElasticsearchMappingsTests extends ESTestCase {
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// These are not reserved because they're data types, not field names
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overridden.add(Result.TYPE.getPreferredName());
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overridden.add(AuditActivity.TYPE.getPreferredName());
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overridden.add(AuditMessage.TYPE.getPreferredName());
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overridden.add(DataCounts.TYPE.getPreferredName());
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overridden.add(CategorizerState.TYPE);
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overridden.add(CategoryDefinition.TYPE.getPreferredName());
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overridden.add(Job.TYPE);
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overridden.add(MlFilter.TYPE.getPreferredName());
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overridden.add(ModelState.TYPE.getPreferredName());
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overridden.add(ModelSizeStats.RESULT_TYPE_FIELD.getPreferredName());
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overridden.add(ModelSnapshot.TYPE.getPreferredName());
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overridden.add(Quantiles.TYPE.getPreferredName());
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// These are not reserved because they're in the ml-int index
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// not the job indices
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overridden.add(MlFilter.ID.getPreferredName());
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overridden.add(MlFilter.ITEMS.getPreferredName());
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// These are not reserved because they're analyzed strings, i.e. the
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// same type as user-specified fields
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overridden.add(Job.DESCRIPTION.getPreferredName());
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overridden.add(Allocation.STATE.getPreferredName());
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overridden.add(ModelSnapshot.DESCRIPTION.getPreferredName());
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Set<String> expected = new HashSet<>();
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XContentBuilder builder = ElasticsearchMappings.auditActivityMapping();
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BufferedInputStream inputStream = new BufferedInputStream(
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new ByteArrayInputStream(builder.string().getBytes(StandardCharsets.UTF_8)));
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// Only the mappings for the results index should be added below. Do NOT add mappings for other indexes here.
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XContentBuilder builder = ElasticsearchMappings.resultsMapping(Collections.emptyList());
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BufferedInputStream inputStream =
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new BufferedInputStream(new ByteArrayInputStream(builder.string().getBytes(StandardCharsets.UTF_8)));
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JsonParser parser = new JsonFactory().createParser(inputStream);
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parseJson(parser, expected);
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builder = ElasticsearchMappings.auditMessageMapping();
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inputStream = new BufferedInputStream(new ByteArrayInputStream(builder.string().getBytes(StandardCharsets.UTF_8)));
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parser = new JsonFactory().createParser(inputStream);
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parseJson(parser, expected);
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builder = ElasticsearchMappings.resultsMapping(Collections.emptyList());
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inputStream = new BufferedInputStream(new ByteArrayInputStream(builder.string().getBytes(StandardCharsets.UTF_8)));
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parser = new JsonFactory().createParser(inputStream);
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parseJson(parser, expected);
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builder = ElasticsearchMappings.categorizerStateMapping();
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inputStream = new BufferedInputStream(new ByteArrayInputStream(builder.string().getBytes(StandardCharsets.UTF_8)));
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parser = new JsonFactory().createParser(inputStream);
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parseJson(parser, expected);
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builder = ElasticsearchMappings.categoryDefinitionMapping();
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inputStream = new BufferedInputStream(new ByteArrayInputStream(builder.string().getBytes(StandardCharsets.UTF_8)));
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parser = new JsonFactory().createParser(inputStream);
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@ -142,16 +105,6 @@ public class ElasticsearchMappingsTests extends ESTestCase {
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parser = new JsonFactory().createParser(inputStream);
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parseJson(parser, expected);
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builder = ElasticsearchMappings.modelStateMapping();
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inputStream = new BufferedInputStream(new ByteArrayInputStream(builder.string().getBytes(StandardCharsets.UTF_8)));
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parser = new JsonFactory().createParser(inputStream);
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parseJson(parser, expected);
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builder = ElasticsearchMappings.quantilesMapping();
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inputStream = new BufferedInputStream(new ByteArrayInputStream(builder.string().getBytes(StandardCharsets.UTF_8)));
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parser = new JsonFactory().createParser(inputStream);
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parseJson(parser, expected);
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expected.removeAll(overridden);
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if (ReservedFieldNames.RESERVED_FIELD_NAMES.size() != expected.size()) {
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