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[ML] deprecate estimated_heap_memory_usage_bytes and replace with model_size_bytes (#80545)
This deprecates estimated_heap_memory_usage_bytes on model put and replaces it with model_size_bytes. On GET, both fields are returned (unless storing in the index) and are populated with the same field. For the ml/info API, both fields are returned as well.
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7c8a37e3d2
commit
4724553d91
22 changed files with 150 additions and 81 deletions
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@ -42,7 +42,9 @@ public class TrainedModelConfig implements ToXContentObject {
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public static final ParseField TAGS = new ParseField("tags");
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public static final ParseField METADATA = new ParseField("metadata");
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public static final ParseField INPUT = new ParseField("input");
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@Deprecated
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public static final ParseField ESTIMATED_HEAP_MEMORY_USAGE_BYTES = new ParseField("estimated_heap_memory_usage_bytes");
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public static final ParseField MODEL_SIZE_BYTES = new ParseField("model_size_bytes", "estimated_heap_memory_usage_bytes");
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public static final ParseField ESTIMATED_OPERATIONS = new ParseField("estimated_operations");
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public static final ParseField LICENSE_LEVEL = new ParseField("license_level");
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public static final ParseField DEFAULT_FIELD_MAP = new ParseField("default_field_map");
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@ -65,7 +67,7 @@ public class TrainedModelConfig implements ToXContentObject {
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PARSER.declareStringArray(TrainedModelConfig.Builder::setTags, TAGS);
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PARSER.declareObject(TrainedModelConfig.Builder::setMetadata, (p, c) -> p.map(), METADATA);
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PARSER.declareObject(TrainedModelConfig.Builder::setInput, (p, c) -> TrainedModelInput.fromXContent(p), INPUT);
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PARSER.declareLong(TrainedModelConfig.Builder::setEstimatedHeapMemory, ESTIMATED_HEAP_MEMORY_USAGE_BYTES);
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PARSER.declareLong(TrainedModelConfig.Builder::setModelSize, MODEL_SIZE_BYTES);
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PARSER.declareLong(TrainedModelConfig.Builder::setEstimatedOperations, ESTIMATED_OPERATIONS);
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PARSER.declareString(TrainedModelConfig.Builder::setLicenseLevel, LICENSE_LEVEL);
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PARSER.declareObject(TrainedModelConfig.Builder::setDefaultFieldMap, (p, c) -> p.mapStrings(), DEFAULT_FIELD_MAP);
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@ -90,7 +92,7 @@ public class TrainedModelConfig implements ToXContentObject {
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private final List<String> tags;
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private final Map<String, Object> metadata;
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private final TrainedModelInput input;
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private final Long estimatedHeapMemory;
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private final Long modelSize;
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private final Long estimatedOperations;
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private final String licenseLevel;
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private final Map<String, String> defaultFieldMap;
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@ -107,7 +109,7 @@ public class TrainedModelConfig implements ToXContentObject {
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List<String> tags,
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Map<String, Object> metadata,
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TrainedModelInput input,
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Long estimatedHeapMemory,
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Long modelSize,
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Long estimatedOperations,
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String licenseLevel,
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Map<String, String> defaultFieldMap,
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@ -123,7 +125,7 @@ public class TrainedModelConfig implements ToXContentObject {
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this.tags = tags == null ? null : Collections.unmodifiableList(tags);
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this.metadata = metadata == null ? null : Collections.unmodifiableMap(metadata);
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this.input = input;
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this.estimatedHeapMemory = estimatedHeapMemory;
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this.modelSize = modelSize;
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this.estimatedOperations = estimatedOperations;
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this.licenseLevel = licenseLevel;
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this.defaultFieldMap = defaultFieldMap == null ? null : Collections.unmodifiableMap(defaultFieldMap);
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@ -170,16 +172,36 @@ public class TrainedModelConfig implements ToXContentObject {
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return input;
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}
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/**
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* @deprecated use {@link TrainedModelConfig#getModelSize()} instead
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* @return the {@link ByteSizeValue} of the model size if available.
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*/
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@Deprecated
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public ByteSizeValue getEstimatedHeapMemory() {
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return estimatedHeapMemory == null ? null : new ByteSizeValue(estimatedHeapMemory);
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return modelSize == null ? null : new ByteSizeValue(modelSize);
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}
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/**
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* @deprecated use {@link TrainedModelConfig#getModelSizeBytes()} instead
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* @return the model size in bytes if available.
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*/
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@Deprecated
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public Long getEstimatedHeapMemoryBytes() {
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return estimatedHeapMemory;
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return modelSize;
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}
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public Long getEstimatedOperations() {
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return estimatedOperations;
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/**
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* @return the {@link ByteSizeValue} of the model size if available.
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*/
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public ByteSizeValue getModelSize() {
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return modelSize == null ? null : new ByteSizeValue(modelSize);
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}
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/**
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* @return the model size in bytes if available.
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*/
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public Long getModelSizeBytes() {
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return modelSize;
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}
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public String getLicenseLevel() {
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@ -228,8 +250,8 @@ public class TrainedModelConfig implements ToXContentObject {
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if (input != null) {
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builder.field(INPUT.getPreferredName(), input);
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}
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if (estimatedHeapMemory != null) {
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builder.field(ESTIMATED_HEAP_MEMORY_USAGE_BYTES.getPreferredName(), estimatedHeapMemory);
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if (modelSize != null) {
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builder.field(MODEL_SIZE_BYTES.getPreferredName(), modelSize);
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}
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if (estimatedOperations != null) {
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builder.field(ESTIMATED_OPERATIONS.getPreferredName(), estimatedOperations);
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@ -269,7 +291,7 @@ public class TrainedModelConfig implements ToXContentObject {
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&& Objects.equals(compressedDefinition, that.compressedDefinition)
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&& Objects.equals(tags, that.tags)
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&& Objects.equals(input, that.input)
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&& Objects.equals(estimatedHeapMemory, that.estimatedHeapMemory)
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&& Objects.equals(modelSize, that.modelSize)
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&& Objects.equals(estimatedOperations, that.estimatedOperations)
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&& Objects.equals(licenseLevel, that.licenseLevel)
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&& Objects.equals(defaultFieldMap, that.defaultFieldMap)
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@ -288,7 +310,7 @@ public class TrainedModelConfig implements ToXContentObject {
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compressedDefinition,
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description,
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tags,
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estimatedHeapMemory,
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modelSize,
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estimatedOperations,
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metadata,
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licenseLevel,
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@ -310,7 +332,7 @@ public class TrainedModelConfig implements ToXContentObject {
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private TrainedModelDefinition definition;
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private String compressedDefinition;
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private TrainedModelInput input;
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private Long estimatedHeapMemory;
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private Long modelSize;
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private Long estimatedOperations;
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private String licenseLevel;
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private Map<String, String> defaultFieldMap;
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@ -379,8 +401,8 @@ public class TrainedModelConfig implements ToXContentObject {
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return this;
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}
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private Builder setEstimatedHeapMemory(Long estimatedHeapMemory) {
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this.estimatedHeapMemory = estimatedHeapMemory;
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private Builder setModelSize(Long modelSize) {
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this.modelSize = modelSize;
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return this;
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}
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@ -416,7 +438,7 @@ public class TrainedModelConfig implements ToXContentObject {
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tags,
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metadata,
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input,
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estimatedHeapMemory,
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modelSize,
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estimatedOperations,
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licenseLevel,
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defaultFieldMap,
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