DataJob
Aspects
dataJobKey
Key for a Data Job
Schema
{
"type": "record",
"Aspect": {
"name": "dataJobKey"
},
"name": "DataJobKey",
"namespace": "com.linkedin.metadata.key",
"fields": [
{
"Relationship": {
"entityTypes": [
"dataFlow"
],
"name": "IsPartOf"
},
"Searchable": {
"fieldName": "dataFlow",
"fieldType": "URN_PARTIAL",
"queryByDefault": false
},
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": "string",
"name": "flow",
"doc": "Standardized data processing flow urn representing the flow for the job"
},
{
"Searchable": {
"enableAutocomplete": true,
"fieldType": "TEXT_PARTIAL"
},
"type": "string",
"name": "jobId",
"doc": "Unique Identifier of the data job"
}
],
"doc": "Key for a Data Job"
}
dataJobInfo
Information about a Data processing job
Schema
{
"type": "record",
"Aspect": {
"name": "dataJobInfo"
},
"name": "DataJobInfo",
"namespace": "com.linkedin.datajob",
"fields": [
{
"Searchable": {
"/*": {
"queryByDefault": true
}
},
"type": {
"type": "map",
"values": "string"
},
"name": "customProperties",
"default": {},
"doc": "Custom property bag."
},
{
"java": {
"class": "com.linkedin.common.url.Url",
"coercerClass": "com.linkedin.common.url.UrlCoercer"
},
"type": [
"null",
"string"
],
"name": "externalUrl",
"default": null,
"doc": "URL where the reference exist"
},
{
"Searchable": {
"boostScore": 10.0,
"enableAutocomplete": true,
"fieldType": "TEXT_PARTIAL"
},
"type": "string",
"name": "name",
"doc": "Job name"
},
{
"Searchable": {
"fieldType": "TEXT",
"hasValuesFieldName": "hasDescription"
},
"type": [
"null",
"string"
],
"name": "description",
"default": null,
"doc": "Job description"
},
{
"type": [
{
"type": "enum",
"symbolDocs": {
"COMMAND": "The command job type is one of the basic built-in types. It runs multiple UNIX commands using java processbuilder.\nUpon execution, Azkaban spawns off a process to run the command.",
"GLUE": "Glue type is for running AWS Glue job transforms.",
"HADOOP_JAVA": "Runs a java program with ability to access Hadoop cluster.\nhttps://azkaban.readthedocs.io/en/latest/jobTypes.html#java-job-type",
"HADOOP_SHELL": "In large part, this is the same Command type. The difference is its ability to talk to a Hadoop cluster\nsecurely, via Hadoop tokens.",
"HIVE": "Hive type is for running Hive jobs.",
"PIG": "Pig type is for running Pig jobs.",
"SQL": "SQL is for running Presto, mysql queries etc"
},
"name": "AzkabanJobType",
"namespace": "com.linkedin.datajob.azkaban",
"symbols": [
"COMMAND",
"HADOOP_JAVA",
"HADOOP_SHELL",
"HIVE",
"PIG",
"SQL",
"GLUE"
],
"doc": "The various types of support azkaban jobs"
},
"string"
],
"name": "type",
"doc": "Datajob type\n*NOTE**: AzkabanJobType is deprecated. Please use strings instead."
},
{
"java": {
"class": "com.linkedin.common.urn.DataFlowUrn"
},
"type": [
"null",
"string"
],
"name": "flowUrn",
"default": null,
"doc": "DataFlow urn that this job is part of"
},
{
"Searchable": {
"/time": {
"fieldName": "createdAt",
"fieldType": "DATETIME"
}
},
"type": [
"null",
{
"type": "record",
"name": "TimeStamp",
"namespace": "com.linkedin.common",
"fields": [
{
"type": "long",
"name": "time",
"doc": "When did the event occur"
},
{
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": [
"null",
"string"
],
"name": "actor",
"default": null,
"doc": "Optional: The actor urn involved in the event."
}
],
"doc": "A standard event timestamp"
}
],
"name": "created",
"default": null,
"doc": "A timestamp documenting when the asset was created in the source Data Platform (not on DataHub)"
},
{
"Searchable": {
"/time": {
"fieldName": "lastModifiedAt",
"fieldType": "DATETIME"
}
},
"type": [
"null",
"com.linkedin.common.TimeStamp"
],
"name": "lastModified",
"default": null,
"doc": "A timestamp documenting when the asset was last modified in the source Data Platform (not on DataHub)"
},
{
"deprecated": "Use Data Process Instance model, instead",
"type": [
"null",
{
"type": "enum",
"symbolDocs": {
"COMPLETED": "Jobs with successful completion.",
"FAILED": "Jobs that have failed.",
"IN_PROGRESS": "Jobs currently running.",
"SKIPPED": "Jobs that have been skipped.",
"STARTING": "Jobs being initialized.",
"STOPPED": "Jobs that have stopped.",
"STOPPING": "Jobs being stopped.",
"UNKNOWN": "Jobs with unknown status (either unmappable or unavailable)"
},
"name": "JobStatus",
"namespace": "com.linkedin.datajob",
"symbols": [
"STARTING",
"IN_PROGRESS",
"STOPPING",
"STOPPED",
"COMPLETED",
"FAILED",
"UNKNOWN",
"SKIPPED"
],
"doc": "Job statuses"
}
],
"name": "status",
"default": null,
"doc": "Status of the job - Deprecated for Data Process Instance model."
}
],
"doc": "Information about a Data processing job"
}
dataJobInputOutput
Information about the inputs and outputs of a Data processing job
Schema
{
"type": "record",
"Aspect": {
"name": "dataJobInputOutput"
},
"name": "DataJobInputOutput",
"namespace": "com.linkedin.datajob",
"fields": [
{
"Relationship": {
"/*": {
"entityTypes": [
"dataset"
],
"isLineage": true,
"name": "Consumes"
}
},
"Searchable": {
"/*": {
"fieldName": "inputs",
"fieldType": "URN",
"numValuesFieldName": "numInputDatasets",
"queryByDefault": false
}
},
"deprecated": true,
"type": {
"type": "array",
"items": "string"
},
"name": "inputDatasets",
"doc": "Input datasets consumed by the data job during processing\nDeprecated! Use inputDatasetEdges instead."
},
{
"Relationship": {
"/*/destinationUrn": {
"createdActor": "inputDatasetEdges/*/created/actor",
"createdOn": "inputDatasetEdges/*/created/time",
"entityTypes": [
"dataset"
],
"isLineage": true,
"name": "Consumes",
"properties": "inputDatasetEdges/*/properties",
"updatedActor": "inputDatasetEdges/*/lastModified/actor",
"updatedOn": "inputDatasetEdges/*/lastModified/time"
}
},
"Searchable": {
"/*/destinationUrn": {
"fieldName": "inputDatasetEdges",
"fieldType": "URN",
"numValuesFieldName": "numInputDatasets",
"queryByDefault": false
}
},
"type": [
"null",
{
"type": "array",
"items": {
"type": "record",
"name": "Edge",
"namespace": "com.linkedin.common",
"fields": [
{
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": "string",
"name": "sourceUrn",
"doc": "Urn of the source of this relationship edge."
},
{
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": "string",
"name": "destinationUrn",
"doc": "Urn of the destination of this relationship edge."
},
{
"type": {
"type": "record",
"name": "AuditStamp",
"namespace": "com.linkedin.common",
"fields": [
{
"type": "long",
"name": "time",
"doc": "When did the resource/association/sub-resource move into the specific lifecycle stage represented by this AuditEvent."
},
{
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": "string",
"name": "actor",
"doc": "The entity (e.g. a member URN) which will be credited for moving the resource/association/sub-resource into the specific lifecycle stage. It is also the one used to authorize the change."
},
{
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": [
"null",
"string"
],
"name": "impersonator",
"default": null,
"doc": "The entity (e.g. a service URN) which performs the change on behalf of the Actor and must be authorized to act as the Actor."
},
{
"type": [
"null",
"string"
],
"name": "message",
"default": null,
"doc": "Additional context around how DataHub was informed of the particular change. For example: was the change created by an automated process, or manually."
}
],
"doc": "Data captured on a resource/association/sub-resource level giving insight into when that resource/association/sub-resource moved into a particular lifecycle stage, and who acted to move it into that specific lifecycle stage."
},
"name": "created",
"doc": "Audit stamp containing who created this relationship edge and when"
},
{
"type": "com.linkedin.common.AuditStamp",
"name": "lastModified",
"doc": "Audit stamp containing who last modified this relationship edge and when"
},
{
"type": [
"null",
{
"type": "map",
"values": "string"
}
],
"name": "properties",
"default": null,
"doc": "A generic properties bag that allows us to store specific information on this graph edge."
}
],
"doc": "Information about a relatonship edge."
}
}
],
"name": "inputDatasetEdges",
"default": null,
"doc": "Input datasets consumed by the data job during processing"
},
{
"Relationship": {
"/*": {
"entityTypes": [
"dataset"
],
"isLineage": true,
"isUpstream": false,
"name": "Produces"
}
},
"Searchable": {
"/*": {
"fieldName": "outputs",
"fieldType": "URN",
"numValuesFieldName": "numOutputDatasets",
"queryByDefault": false
}
},
"deprecated": true,
"type": {
"type": "array",
"items": "string"
},
"name": "outputDatasets",
"doc": "Output datasets produced by the data job during processing\nDeprecated! Use outputDatasetEdges instead."
},
{
"Relationship": {
"/*/destinationUrn": {
"createdActor": "outputDatasetEdges/*/created/actor",
"createdOn": "outputDatasetEdges/*/created/time",
"entityTypes": [
"dataset"
],
"isLineage": true,
"isUpstream": false,
"name": "Produces",
"properties": "outputDatasetEdges/*/properties",
"updatedActor": "outputDatasetEdges/*/lastModified/actor",
"updatedOn": "outputDatasetEdges/*/lastModified/time"
}
},
"Searchable": {
"/*/destinationUrn": {
"fieldName": "outputDatasetEdges",
"fieldType": "URN",
"numValuesFieldName": "numOutputDatasets",
"queryByDefault": false
}
},
"type": [
"null",
{
"type": "array",
"items": "com.linkedin.common.Edge"
}
],
"name": "outputDatasetEdges",
"default": null,
"doc": "Output datasets produced by the data job during processing"
},
{
"Relationship": {
"/*": {
"entityTypes": [
"dataJob"
],
"isLineage": true,
"name": "DownstreamOf"
}
},
"deprecated": true,
"type": [
"null",
{
"type": "array",
"items": "string"
}
],
"name": "inputDatajobs",
"default": null,
"doc": "Input datajobs that this data job depends on\nDeprecated! Use inputDatajobEdges instead."
},
{
"Relationship": {
"/*/destinationUrn": {
"createdActor": "inputDatajobEdges/*/created/actor",
"createdOn": "inputDatajobEdges/*/created/time",
"entityTypes": [
"dataJob"
],
"isLineage": true,
"name": "DownstreamOf",
"properties": "inputDatajobEdges/*/properties",
"updatedActor": "inputDatajobEdges/*/lastModified/actor",
"updatedOn": "inputDatajobEdges/*/lastModified/time"
}
},
"type": [
"null",
{
"type": "array",
"items": "com.linkedin.common.Edge"
}
],
"name": "inputDatajobEdges",
"default": null,
"doc": "Input datajobs that this data job depends on"
},
{
"Relationship": {
"/*": {
"entityTypes": [
"schemaField"
],
"name": "Consumes"
}
},
"Searchable": {
"/*": {
"fieldName": "inputFields",
"fieldType": "URN",
"numValuesFieldName": "numInputFields",
"queryByDefault": false
}
},
"type": [
"null",
{
"type": "array",
"items": "string"
}
],
"name": "inputDatasetFields",
"default": null,
"doc": "Fields of the input datasets used by this job"
},
{
"Relationship": {
"/*": {
"entityTypes": [
"schemaField"
],
"name": "Produces"
}
},
"Searchable": {
"/*": {
"fieldName": "outputFields",
"fieldType": "URN",
"numValuesFieldName": "numOutputFields",
"queryByDefault": false
}
},
"type": [
"null",
{
"type": "array",
"items": "string"
}
],
"name": "outputDatasetFields",
"default": null,
"doc": "Fields of the output datasets this job writes to"
},
{
"type": [
"null",
{
"type": "array",
"items": {
"type": "record",
"name": "FineGrainedLineage",
"namespace": "com.linkedin.dataset",
"fields": [
{
"type": {
"type": "enum",
"symbolDocs": {
"DATASET": " Indicates that this lineage is originating from upstream dataset(s)",
"FIELD_SET": " Indicates that this lineage is originating from upstream field(s)",
"NONE": " Indicates that there is no upstream lineage i.e. the downstream field is not a derived field"
},
"name": "FineGrainedLineageUpstreamType",
"namespace": "com.linkedin.dataset",
"symbols": [
"FIELD_SET",
"DATASET",
"NONE"
],
"doc": "The type of upstream entity in a fine-grained lineage"
},
"name": "upstreamType",
"doc": "The type of upstream entity"
},
{
"type": [
"null",
{
"type": "array",
"items": "string"
}
],
"name": "upstreams",
"default": null,
"doc": "Upstream entities in the lineage"
},
{
"type": {
"type": "enum",
"symbolDocs": {
"FIELD": " Indicates that the lineage is for a single, specific, downstream field",
"FIELD_SET": " Indicates that the lineage is for a set of downstream fields"
},
"name": "FineGrainedLineageDownstreamType",
"namespace": "com.linkedin.dataset",
"symbols": [
"FIELD",
"FIELD_SET"
],
"doc": "The type of downstream field(s) in a fine-grained lineage"
},
"name": "downstreamType",
"doc": "The type of downstream field(s)"
},
{
"type": [
"null",
{
"type": "array",
"items": "string"
}
],
"name": "downstreams",
"default": null,
"doc": "Downstream fields in the lineage"
},
{
"type": [
"null",
"string"
],
"name": "transformOperation",
"default": null,
"doc": "The transform operation applied to the upstream entities to produce the downstream field(s)"
},
{
"type": "float",
"name": "confidenceScore",
"default": 1.0,
"doc": "The confidence in this lineage between 0 (low confidence) and 1 (high confidence)"
}
],
"doc": "A fine-grained lineage from upstream fields/datasets to downstream field(s)"
}
}
],
"name": "fineGrainedLineages",
"default": null,
"doc": "Fine-grained column-level lineages"
}
],
"doc": "Information about the inputs and outputs of a Data processing job"
}
editableDataJobProperties
Stores editable changes made to properties. This separates changes made from ingestion pipelines and edits in the UI to avoid accidental overwrites of user-provided data by ingestion pipelines
Schema
{
"type": "record",
"Aspect": {
"name": "editableDataJobProperties"
},
"name": "EditableDataJobProperties",
"namespace": "com.linkedin.datajob",
"fields": [
{
"type": {
"type": "record",
"name": "AuditStamp",
"namespace": "com.linkedin.common",
"fields": [
{
"type": "long",
"name": "time",
"doc": "When did the resource/association/sub-resource move into the specific lifecycle stage represented by this AuditEvent."
},
{
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": "string",
"name": "actor",
"doc": "The entity (e.g. a member URN) which will be credited for moving the resource/association/sub-resource into the specific lifecycle stage. It is also the one used to authorize the change."
},
{
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": [
"null",
"string"
],
"name": "impersonator",
"default": null,
"doc": "The entity (e.g. a service URN) which performs the change on behalf of the Actor and must be authorized to act as the Actor."
},
{
"type": [
"null",
"string"
],
"name": "message",
"default": null,
"doc": "Additional context around how DataHub was informed of the particular change. For example: was the change created by an automated process, or manually."
}
],
"doc": "Data captured on a resource/association/sub-resource level giving insight into when that resource/association/sub-resource moved into a particular lifecycle stage, and who acted to move it into that specific lifecycle stage."
},
"name": "created",
"default": {
"actor": "urn:li:corpuser:unknown",
"impersonator": null,
"time": 0,
"message": null
},
"doc": "An AuditStamp corresponding to the creation of this resource/association/sub-resource. A value of 0 for time indicates missing data."
},
{
"type": "com.linkedin.common.AuditStamp",
"name": "lastModified",
"default": {
"actor": "urn:li:corpuser:unknown",
"impersonator": null,
"time": 0,
"message": null
},
"doc": "An AuditStamp corresponding to the last modification of this resource/association/sub-resource. If no modification has happened since creation, lastModified should be the same as created. A value of 0 for time indicates missing data."
},
{
"type": [
"null",
"com.linkedin.common.AuditStamp"
],
"name": "deleted",
"default": null,
"doc": "An AuditStamp corresponding to the deletion of this resource/association/sub-resource. Logically, deleted MUST have a later timestamp than creation. It may or may not have the same time as lastModified depending upon the resource/association/sub-resource semantics."
},
{
"Searchable": {
"fieldName": "editedDescription",
"fieldType": "TEXT"
},
"type": [
"null",
"string"
],
"name": "description",
"default": null,
"doc": "Edited documentation of the data job "
}
],
"doc": "Stores editable changes made to properties. This separates changes made from\ningestion pipelines and edits in the UI to avoid accidental overwrites of user-provided data by ingestion pipelines"
}
ownership
Ownership information of an entity.
Schema
{
"type": "record",
"Aspect": {
"name": "ownership"
},
"name": "Ownership",
"namespace": "com.linkedin.common",
"fields": [
{
"type": {
"type": "array",
"items": {
"type": "record",
"name": "Owner",
"namespace": "com.linkedin.common",
"fields": [
{
"Relationship": {
"entityTypes": [
"corpuser",
"corpGroup"
],
"name": "OwnedBy"
},
"Searchable": {
"addToFilters": true,
"fieldName": "owners",
"fieldType": "URN",
"filterNameOverride": "Owned By",
"hasValuesFieldName": "hasOwners",
"queryByDefault": false
},
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": "string",
"name": "owner",
"doc": "Owner URN, e.g. urn:li:corpuser:ldap, urn:li:corpGroup:group_name, and urn:li:multiProduct:mp_name\n(Caveat: only corpuser is currently supported in the frontend.)"
},
{
"type": {
"type": "enum",
"symbolDocs": {
"BUSINESS_OWNER": "A person or group who is responsible for logical, or business related, aspects of the asset.",
"CONSUMER": "A person, group, or service that consumes the data\nDeprecated! Use TECHNICAL_OWNER or BUSINESS_OWNER instead.",
"DATAOWNER": "A person or group that is owning the data\nDeprecated! Use TECHNICAL_OWNER instead.",
"DATA_STEWARD": "A steward, expert, or delegate responsible for the asset.",
"DELEGATE": "A person or a group that overseas the operation, e.g. a DBA or SRE.\nDeprecated! Use TECHNICAL_OWNER instead.",
"DEVELOPER": "A person or group that is in charge of developing the code\nDeprecated! Use TECHNICAL_OWNER instead.",
"NONE": "No specific type associated to the owner.",
"PRODUCER": "A person, group, or service that produces/generates the data\nDeprecated! Use TECHNICAL_OWNER instead.",
"STAKEHOLDER": "A person or a group that has direct business interest\nDeprecated! Use TECHNICAL_OWNER, BUSINESS_OWNER, or STEWARD instead.",
"TECHNICAL_OWNER": "person or group who is responsible for technical aspects of the asset."
},
"deprecatedSymbols": {
"CONSUMER": true,
"DATAOWNER": true,
"DELEGATE": true,
"DEVELOPER": true,
"PRODUCER": true,
"STAKEHOLDER": true
},
"name": "OwnershipType",
"namespace": "com.linkedin.common",
"symbols": [
"TECHNICAL_OWNER",
"BUSINESS_OWNER",
"DATA_STEWARD",
"NONE",
"DEVELOPER",
"DATAOWNER",
"DELEGATE",
"PRODUCER",
"CONSUMER",
"STAKEHOLDER"
],
"doc": "Asset owner types"
},
"name": "type",
"doc": "The type of the ownership"
},
{
"type": [
"null",
{
"type": "record",
"name": "OwnershipSource",
"namespace": "com.linkedin.common",
"fields": [
{
"type": {
"type": "enum",
"symbolDocs": {
"AUDIT": "Auditing system or audit logs",
"DATABASE": "Database, e.g. GRANTS table",
"FILE_SYSTEM": "File system, e.g. file/directory owner",
"ISSUE_TRACKING_SYSTEM": "Issue tracking system, e.g. Jira",
"MANUAL": "Manually provided by a user",
"OTHER": "Other sources",
"SERVICE": "Other ownership-like service, e.g. Nuage, ACL service etc",
"SOURCE_CONTROL": "SCM system, e.g. GIT, SVN"
},
"name": "OwnershipSourceType",
"namespace": "com.linkedin.common",
"symbols": [
"AUDIT",
"DATABASE",
"FILE_SYSTEM",
"ISSUE_TRACKING_SYSTEM",
"MANUAL",
"SERVICE",
"SOURCE_CONTROL",
"OTHER"
]
},
"name": "type",
"doc": "The type of the source"
},
{
"type": [
"null",
"string"
],
"name": "url",
"default": null,
"doc": "A reference URL for the source"
}
],
"doc": "Source/provider of the ownership information"
}
],
"name": "source",
"default": null,
"doc": "Source information for the ownership"
}
],
"doc": "Ownership information"
}
},
"name": "owners",
"doc": "List of owners of the entity."
},
{
"type": {
"type": "record",
"name": "AuditStamp",
"namespace": "com.linkedin.common",
"fields": [
{
"type": "long",
"name": "time",
"doc": "When did the resource/association/sub-resource move into the specific lifecycle stage represented by this AuditEvent."
},
{
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": "string",
"name": "actor",
"doc": "The entity (e.g. a member URN) which will be credited for moving the resource/association/sub-resource into the specific lifecycle stage. It is also the one used to authorize the change."
},
{
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": [
"null",
"string"
],
"name": "impersonator",
"default": null,
"doc": "The entity (e.g. a service URN) which performs the change on behalf of the Actor and must be authorized to act as the Actor."
},
{
"type": [
"null",
"string"
],
"name": "message",
"default": null,
"doc": "Additional context around how DataHub was informed of the particular change. For example: was the change created by an automated process, or manually."
}
],
"doc": "Data captured on a resource/association/sub-resource level giving insight into when that resource/association/sub-resource moved into a particular lifecycle stage, and who acted to move it into that specific lifecycle stage."
},
"name": "lastModified",
"default": {
"actor": "urn:li:corpuser:unknown",
"impersonator": null,
"time": 0,
"message": null
},
"doc": "Audit stamp containing who last modified the record and when. A value of 0 in the time field indicates missing data."
}
],
"doc": "Ownership information of an entity."
}
status
The lifecycle status metadata of an entity, e.g. dataset, metric, feature, etc. This aspect is used to represent soft deletes conventionally.
Schema
{
"type": "record",
"Aspect": {
"name": "status"
},
"name": "Status",
"namespace": "com.linkedin.common",
"fields": [
{
"Searchable": {
"fieldType": "BOOLEAN"
},
"type": "boolean",
"name": "removed",
"default": false,
"doc": "Whether the entity has been removed (soft-deleted)."
}
],
"doc": "The lifecycle status metadata of an entity, e.g. dataset, metric, feature, etc.\nThis aspect is used to represent soft deletes conventionally."
}
globalTags
Tag aspect used for applying tags to an entity
Schema
{
"type": "record",
"Aspect": {
"name": "globalTags"
},
"name": "GlobalTags",
"namespace": "com.linkedin.common",
"fields": [
{
"Relationship": {
"/*/tag": {
"entityTypes": [
"tag"
],
"name": "TaggedWith"
}
},
"Searchable": {
"/*/tag": {
"addToFilters": true,
"boostScore": 0.5,
"fieldName": "tags",
"fieldType": "URN",
"filterNameOverride": "Tag",
"hasValuesFieldName": "hasTags",
"queryByDefault": true
}
},
"type": {
"type": "array",
"items": {
"type": "record",
"name": "TagAssociation",
"namespace": "com.linkedin.common",
"fields": [
{
"java": {
"class": "com.linkedin.common.urn.TagUrn"
},
"type": "string",
"name": "tag",
"doc": "Urn of the applied tag"
},
{
"type": [
"null",
"string"
],
"name": "context",
"default": null,
"doc": "Additional context about the association"
}
],
"doc": "Properties of an applied tag. For now, just an Urn. In the future we can extend this with other properties, e.g.\npropagation parameters."
}
},
"name": "tags",
"doc": "Tags associated with a given entity"
}
],
"doc": "Tag aspect used for applying tags to an entity"
}
browsePaths
Shared aspect containing Browse Paths to be indexed for an entity.
Schema
{
"type": "record",
"Aspect": {
"name": "browsePaths"
},
"name": "BrowsePaths",
"namespace": "com.linkedin.common",
"fields": [
{
"Searchable": {
"/*": {
"fieldName": "browsePaths",
"fieldType": "BROWSE_PATH"
}
},
"type": {
"type": "array",
"items": "string"
},
"name": "paths",
"doc": "A list of valid browse paths for the entity.\n\nBrowse paths are expected to be forward slash-separated strings. For example: 'prod/snowflake/datasetName'"
}
],
"doc": "Shared aspect containing Browse Paths to be indexed for an entity."
}
glossaryTerms
Related business terms information
Schema
{
"type": "record",
"Aspect": {
"name": "glossaryTerms"
},
"name": "GlossaryTerms",
"namespace": "com.linkedin.common",
"fields": [
{
"type": {
"type": "array",
"items": {
"type": "record",
"name": "GlossaryTermAssociation",
"namespace": "com.linkedin.common",
"fields": [
{
"Relationship": {
"entityTypes": [
"glossaryTerm"
],
"name": "TermedWith"
},
"Searchable": {
"addToFilters": true,
"fieldName": "glossaryTerms",
"fieldType": "URN",
"filterNameOverride": "Glossary Term",
"hasValuesFieldName": "hasGlossaryTerms"
},
"java": {
"class": "com.linkedin.common.urn.GlossaryTermUrn"
},
"type": "string",
"name": "urn",
"doc": "Urn of the applied glossary term"
},
{
"type": [
"null",
"string"
],
"name": "context",
"default": null,
"doc": "Additional context about the association"
}
],
"doc": "Properties of an applied glossary term."
}
},
"name": "terms",
"doc": "The related business terms"
},
{
"type": {
"type": "record",
"name": "AuditStamp",
"namespace": "com.linkedin.common",
"fields": [
{
"type": "long",
"name": "time",
"doc": "When did the resource/association/sub-resource move into the specific lifecycle stage represented by this AuditEvent."
},
{
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": "string",
"name": "actor",
"doc": "The entity (e.g. a member URN) which will be credited for moving the resource/association/sub-resource into the specific lifecycle stage. It is also the one used to authorize the change."
},
{
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": [
"null",
"string"
],
"name": "impersonator",
"default": null,
"doc": "The entity (e.g. a service URN) which performs the change on behalf of the Actor and must be authorized to act as the Actor."
},
{
"type": [
"null",
"string"
],
"name": "message",
"default": null,
"doc": "Additional context around how DataHub was informed of the particular change. For example: was the change created by an automated process, or manually."
}
],
"doc": "Data captured on a resource/association/sub-resource level giving insight into when that resource/association/sub-resource moved into a particular lifecycle stage, and who acted to move it into that specific lifecycle stage."
},
"name": "auditStamp",
"doc": "Audit stamp containing who reported the related business term"
}
],
"doc": "Related business terms information"
}
institutionalMemory
Institutional memory of an entity. This is a way to link to relevant documentation and provide description of the documentation. Institutional or tribal knowledge is very important for users to leverage the entity.
Schema
{
"type": "record",
"Aspect": {
"name": "institutionalMemory"
},
"name": "InstitutionalMemory",
"namespace": "com.linkedin.common",
"fields": [
{
"type": {
"type": "array",
"items": {
"type": "record",
"name": "InstitutionalMemoryMetadata",
"namespace": "com.linkedin.common",
"fields": [
{
"java": {
"class": "com.linkedin.common.url.Url",
"coercerClass": "com.linkedin.common.url.UrlCoercer"
},
"type": "string",
"name": "url",
"doc": "Link to an engineering design document or a wiki page."
},
{
"type": "string",
"name": "description",
"doc": "Description of the link."
},
{
"type": {
"type": "record",
"name": "AuditStamp",
"namespace": "com.linkedin.common",
"fields": [
{
"type": "long",
"name": "time",
"doc": "When did the resource/association/sub-resource move into the specific lifecycle stage represented by this AuditEvent."
},
{
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": "string",
"name": "actor",
"doc": "The entity (e.g. a member URN) which will be credited for moving the resource/association/sub-resource into the specific lifecycle stage. It is also the one used to authorize the change."
},
{
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": [
"null",
"string"
],
"name": "impersonator",
"default": null,
"doc": "The entity (e.g. a service URN) which performs the change on behalf of the Actor and must be authorized to act as the Actor."
},
{
"type": [
"null",
"string"
],
"name": "message",
"default": null,
"doc": "Additional context around how DataHub was informed of the particular change. For example: was the change created by an automated process, or manually."
}
],
"doc": "Data captured on a resource/association/sub-resource level giving insight into when that resource/association/sub-resource moved into a particular lifecycle stage, and who acted to move it into that specific lifecycle stage."
},
"name": "createStamp",
"doc": "Audit stamp associated with creation of this record"
}
],
"doc": "Metadata corresponding to a record of institutional memory."
}
},
"name": "elements",
"doc": "List of records that represent institutional memory of an entity. Each record consists of a link, description, creator and timestamps associated with that record."
}
],
"doc": "Institutional memory of an entity. This is a way to link to relevant documentation and provide description of the documentation. Institutional or tribal knowledge is very important for users to leverage the entity."
}
dataPlatformInstance
The specific instance of the data platform that this entity belongs to
Schema
{
"type": "record",
"Aspect": {
"name": "dataPlatformInstance"
},
"name": "DataPlatformInstance",
"namespace": "com.linkedin.common",
"fields": [
{
"Searchable": {
"addToFilters": true,
"fieldType": "URN",
"filterNameOverride": "Platform"
},
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": "string",
"name": "platform",
"doc": "Data Platform"
},
{
"Searchable": {
"addToFilters": true,
"fieldName": "platformInstance",
"fieldType": "URN",
"filterNameOverride": "Platform Instance"
},
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": [
"null",
"string"
],
"name": "instance",
"default": null,
"doc": "Instance of the data platform (e.g. db instance)"
}
],
"doc": "The specific instance of the data platform that this entity belongs to"
}
domains
Links from an Asset to its Domains
Schema
{
"type": "record",
"Aspect": {
"name": "domains"
},
"name": "Domains",
"namespace": "com.linkedin.domain",
"fields": [
{
"Relationship": {
"/*": {
"entityTypes": [
"domain"
],
"name": "AssociatedWith"
}
},
"Searchable": {
"/*": {
"addToFilters": true,
"fieldName": "domains",
"fieldType": "URN",
"filterNameOverride": "Domain",
"hasValuesFieldName": "hasDomain"
}
},
"type": {
"type": "array",
"items": "string"
},
"name": "domains",
"doc": "The Domains attached to an Asset"
}
],
"doc": "Links from an Asset to its Domains"
}
deprecation
Deprecation status of an entity
Schema
{
"type": "record",
"Aspect": {
"name": "deprecation"
},
"name": "Deprecation",
"namespace": "com.linkedin.common",
"fields": [
{
"Searchable": {
"fieldType": "BOOLEAN",
"weightsPerFieldValue": {
"true": 0.5
}
},
"type": "boolean",
"name": "deprecated",
"doc": "Whether the entity is deprecated."
},
{
"type": [
"null",
"long"
],
"name": "decommissionTime",
"default": null,
"doc": "The time user plan to decommission this entity."
},
{
"type": "string",
"name": "note",
"doc": "Additional information about the entity deprecation plan, such as the wiki, doc, RB."
},
{
"java": {
"class": "com.linkedin.common.urn.Urn"
},
"type": "string",
"name": "actor",
"doc": "The user URN which will be credited for modifying this deprecation content."
}
],
"doc": "Deprecation status of an entity"
}
versionInfo
Information about a Data processing job
Schema
{
"type": "record",
"Aspect": {
"name": "versionInfo"
},
"name": "VersionInfo",
"namespace": "com.linkedin.datajob",
"fields": [
{
"Searchable": {
"/*": {
"queryByDefault": true
}
},
"type": {
"type": "map",
"values": "string"
},
"name": "customProperties",
"default": {},
"doc": "Custom property bag."
},
{
"java": {
"class": "com.linkedin.common.url.Url",
"coercerClass": "com.linkedin.common.url.UrlCoercer"
},
"type": [
"null",
"string"
],
"name": "externalUrl",
"default": null,
"doc": "URL where the reference exist"
},
{
"type": "string",
"name": "version",
"doc": "The version which can indentify a job version like a commit hash or md5 hash"
},
{
"type": "string",
"name": "versionType",
"doc": "The type of the version like git hash or md5 hash"
}
],
"doc": "Information about a Data processing job"
}
datahubIngestionRunSummary (Timeseries)
Summary of a datahub ingestion run for a given platform.
Schema
{
"type": "record",
"Aspect": {
"name": "datahubIngestionRunSummary",
"type": "timeseries"
},
"name": "DatahubIngestionRunSummary",
"namespace": "com.linkedin.datajob.datahub",
"fields": [
{
"type": "long",
"name": "timestampMillis",
"doc": "The event timestamp field as epoch at UTC in milli seconds."
},
{
"type": [
"null",
{
"type": "record",
"name": "TimeWindowSize",
"namespace": "com.linkedin.timeseries",
"fields": [
{
"type": {
"type": "enum",
"name": "CalendarInterval",
"namespace": "com.linkedin.timeseries",
"symbols": [
"SECOND",
"MINUTE",
"HOUR",
"DAY",
"WEEK",
"MONTH",
"QUARTER",
"YEAR"
]
},
"name": "unit",
"doc": "Interval unit such as minute/hour/day etc."
},
{
"type": "int",
"name": "multiple",
"default": 1,
"doc": "How many units. Defaults to 1."
}
],
"doc": "Defines the size of a time window."
}
],
"name": "eventGranularity",
"default": null,
"doc": "Granularity of the event if applicable"
},
{
"type": [
{
"type": "record",
"name": "PartitionSpec",
"namespace": "com.linkedin.timeseries",
"fields": [
{
"type": {
"type": "enum",
"name": "PartitionType",
"namespace": "com.linkedin.timeseries",
"symbols": [
"FULL_TABLE",
"QUERY",
"PARTITION"
]
},
"name": "type",
"default": "PARTITION"
},
{
"TimeseriesField": {},
"type": "string",
"name": "partition",
"doc": "String representation of the partition"
},
{
"type": [
"null",
{
"type": "record",
"name": "TimeWindow",
"namespace": "com.linkedin.timeseries",
"fields": [
{
"type": "long",
"name": "startTimeMillis",
"doc": "Start time as epoch at UTC."
},
{
"type": "com.linkedin.timeseries.TimeWindowSize",
"name": "length",
"doc": "The length of the window."
}
]
}
],
"name": "timePartition",
"default": null,
"doc": "Time window of the partition if applicable"
}
],
"doc": "Defines how the data is partitioned"
},
"null"
],
"name": "partitionSpec",
"default": {
"partition": "FULL_TABLE_SNAPSHOT",
"type": "FULL_TABLE",
"timePartition": null
},
"doc": "The optional partition specification."
},
{
"type": [
"null",
"string"
],
"name": "messageId",
"default": null,
"doc": "The optional messageId, if provided serves as a custom user-defined unique identifier for an aspect value."
},
{
"TimeseriesField": {},
"type": "string",
"name": "pipelineName",
"doc": "The name of the pipeline that ran ingestion, a stable unique user provided identifier.\n e.g. my_snowflake1-to-datahub."
},
{
"TimeseriesField": {},
"type": "string",
"name": "platformInstanceId",
"doc": "The id of the instance against which the ingestion pipeline ran.\ne.g.: Bigquery project ids, MySQL hostnames etc."
},
{
"TimeseriesField": {},
"type": "string",
"name": "runId",
"doc": "The runId for this pipeline instance."
},
{
"TimeseriesField": {},
"type": {
"type": "enum",
"symbolDocs": {
"COMPLETED": "Jobs with successful completion.",
"FAILED": "Jobs that have failed.",
"IN_PROGRESS": "Jobs currently running.",
"SKIPPED": "Jobs that have been skipped.",
"STARTING": "Jobs being initialized.",
"STOPPED": "Jobs that have stopped.",
"STOPPING": "Jobs being stopped.",
"UNKNOWN": "Jobs with unknown status (either unmappable or unavailable)"
},
"name": "JobStatus",
"namespace": "com.linkedin.datajob",
"symbols": [
"STARTING",
"IN_PROGRESS",
"STOPPING",
"STOPPED",
"COMPLETED",
"FAILED",
"UNKNOWN",
"SKIPPED"
],
"doc": "Job statuses"
},
"name": "runStatus",
"doc": "Run Status - Succeeded/Skipped/Failed etc."
},
{
"type": [
"null",
"long"
],
"name": "numWorkUnitsCommitted",
"default": null,
"doc": "The number of workunits written to sink."
},
{
"type": [
"null",
"long"
],
"name": "numWorkUnitsCreated",
"default": null,
"doc": "The number of workunits that are produced."
},
{
"type": [
"null",
"long"
],
"name": "numEvents",
"default": null,
"doc": "The number of events produced (MCE + MCP)."
},
{
"type": [
"null",
"long"
],
"name": "numEntities",
"default": null,
"doc": "The total number of entities produced (unique entity urns)."
},
{
"type": [
"null",
"long"
],
"name": "numAspects",
"default": null,
"doc": "The total number of aspects produced across all entities."
},
{
"type": [
"null",
"long"
],
"name": "numSourceAPICalls",
"default": null,
"doc": "Total number of source API calls."
},
{
"type": [
"null",
"long"
],
"name": "totalLatencySourceAPICalls",
"default": null,
"doc": "Total latency across all source API calls."
},
{
"type": [
"null",
"long"
],
"name": "numSinkAPICalls",
"default": null,
"doc": "Total number of sink API calls."
},
{
"type": [
"null",
"long"
],
"name": "totalLatencySinkAPICalls",
"default": null,
"doc": "Total latency across all sink API calls."
},
{
"type": [
"null",
"long"
],
"name": "numWarnings",
"default": null,
"doc": "Number of warnings generated."
},
{
"type": [
"null",
"long"
],
"name": "numErrors",
"default": null,
"doc": "Number of errors generated."
},
{
"type": [
"null",
"long"
],
"name": "numEntitiesSkipped",
"default": null,
"doc": "Number of entities skipped."
},
{
"type": [
"null",
"string"
],
"name": "config",
"default": null,
"doc": "The non-sensitive key-value pairs of the yaml config used as json string."
},
{
"type": [
"null",
"string"
],
"name": "custom_summary",
"default": null,
"doc": "Custom value."
},
{
"TimeseriesField": {},
"type": [
"null",
"string"
],
"name": "softwareVersion",
"default": null,
"doc": "The software version of this ingestion."
},
{
"type": [
"null",
"string"
],
"name": "systemHostName",
"default": null,
"doc": "The hostname the ingestion pipeline ran on."
},
{
"TimeseriesField": {},
"type": [
"null",
"string"
],
"name": "operatingSystemName",
"default": null,
"doc": "The os the ingestion pipeline ran on."
},
{
"type": [
"null",
"int"
],
"name": "numProcessors",
"default": null,
"doc": "The number of processors on the host the ingestion pipeline ran on."
},
{
"type": [
"null",
"long"
],
"name": "totalMemory",
"default": null,
"doc": "The total amount of memory on the host the ingestion pipeline ran on."
},
{
"type": [
"null",
"long"
],
"name": "availableMemory",
"default": null,
"doc": "The available memory on the host the ingestion pipeline ran on."
}
],
"doc": "Summary of a datahub ingestion run for a given platform."
}
datahubIngestionCheckpoint (Timeseries)
Checkpoint of a datahub ingestion run for a given job.
Schema
{
"type": "record",
"Aspect": {
"name": "datahubIngestionCheckpoint",
"type": "timeseries"
},
"name": "DatahubIngestionCheckpoint",
"namespace": "com.linkedin.datajob.datahub",
"fields": [
{
"type": "long",
"name": "timestampMillis",
"doc": "The event timestamp field as epoch at UTC in milli seconds."
},
{
"type": [
"null",
{
"type": "record",
"name": "TimeWindowSize",
"namespace": "com.linkedin.timeseries",
"fields": [
{
"type": {
"type": "enum",
"name": "CalendarInterval",
"namespace": "com.linkedin.timeseries",
"symbols": [
"SECOND",
"MINUTE",
"HOUR",
"DAY",
"WEEK",
"MONTH",
"QUARTER",
"YEAR"
]
},
"name": "unit",
"doc": "Interval unit such as minute/hour/day etc."
},
{
"type": "int",
"name": "multiple",
"default": 1,
"doc": "How many units. Defaults to 1."
}
],
"doc": "Defines the size of a time window."
}
],
"name": "eventGranularity",
"default": null,
"doc": "Granularity of the event if applicable"
},
{
"type": [
{
"type": "record",
"name": "PartitionSpec",
"namespace": "com.linkedin.timeseries",
"fields": [
{
"type": {
"type": "enum",
"name": "PartitionType",
"namespace": "com.linkedin.timeseries",
"symbols": [
"FULL_TABLE",
"QUERY",
"PARTITION"
]
},
"name": "type",
"default": "PARTITION"
},
{
"TimeseriesField": {},
"type": "string",
"name": "partition",
"doc": "String representation of the partition"
},
{
"type": [
"null",
{
"type": "record",
"name": "TimeWindow",
"namespace": "com.linkedin.timeseries",
"fields": [
{
"type": "long",
"name": "startTimeMillis",
"doc": "Start time as epoch at UTC."
},
{
"type": "com.linkedin.timeseries.TimeWindowSize",
"name": "length",
"doc": "The length of the window."
}
]
}
],
"name": "timePartition",
"default": null,
"doc": "Time window of the partition if applicable"
}
],
"doc": "Defines how the data is partitioned"
},
"null"
],
"name": "partitionSpec",
"default": {
"partition": "FULL_TABLE_SNAPSHOT",
"type": "FULL_TABLE",
"timePartition": null
},
"doc": "The optional partition specification."
},
{
"type": [
"null",
"string"
],
"name": "messageId",
"default": null,
"doc": "The optional messageId, if provided serves as a custom user-defined unique identifier for an aspect value."
},
{
"TimeseriesField": {},
"type": "string",
"name": "pipelineName",
"doc": "The name of the pipeline that ran ingestion, a stable unique user provided identifier.\n e.g. my_snowflake1-to-datahub."
},
{
"TimeseriesField": {},
"type": "string",
"name": "platformInstanceId",
"doc": "The id of the instance against which the ingestion pipeline ran.\ne.g.: Bigquery project ids, MySQL hostnames etc."
},
{
"type": "string",
"name": "config",
"doc": "Json-encoded string representation of the non-secret members of the config ."
},
{
"type": {
"type": "record",
"name": "IngestionCheckpointState",
"namespace": "com.linkedin.datajob.datahub",
"fields": [
{
"type": "string",
"name": "formatVersion",
"doc": "The version of the state format."
},
{
"type": "string",
"name": "serde",
"doc": "The serialization/deserialization protocol."
},
{
"type": [
"null",
"bytes"
],
"name": "payload",
"default": null,
"doc": "Opaque blob of the state representation."
}
],
"doc": "The checkpoint state object of a datahub ingestion run for a given job."
},
"name": "state",
"doc": "Opaque blob of the state representation."
},
{
"TimeseriesField": {},
"type": "string",
"name": "runId",
"doc": "The run identifier of this job."
}
],
"doc": "Checkpoint of a datahub ingestion run for a given job."
}
Relationships
Self
These are the relationships to itself, stored in this entity's aspects
- DownstreamOf (via
dataJobInputOutput.inputDatajobs) - DownstreamOf (via
dataJobInputOutput.inputDatajobEdges)
Outgoing
These are the relationships stored in this entity's aspects
IsPartOf
- DataFlow via
dataJobKey.flow
- DataFlow via
Consumes
- Dataset via
dataJobInputOutput.inputDatasets - Dataset via
dataJobInputOutput.inputDatasetEdges - SchemaField via
dataJobInputOutput.inputDatasetFields
- Dataset via
Produces
- Dataset via
dataJobInputOutput.outputDatasets - Dataset via
dataJobInputOutput.outputDatasetEdges - SchemaField via
dataJobInputOutput.outputDatasetFields
- Dataset via
OwnedBy
- Corpuser via
ownership.owners.owner - CorpGroup via
ownership.owners.owner
- Corpuser via
TaggedWith
- Tag via
globalTags.tags
- Tag via
TermedWith
- GlossaryTerm via
glossaryTerms.terms.urn
- GlossaryTerm via
AssociatedWith
- Domain via
domains.domains
- Domain via
Incoming
These are the relationships stored in other entity's aspects
InstanceOf
- DataProcessInstance via
dataProcessInstanceRelationships.parentTemplate
- DataProcessInstance via
TrainedBy
- MlModel via
mlModelProperties.trainingJobs
- MlModel via
UsedBy
- MlModel via
mlModelProperties.downstreamJobs
- MlModel via
Global Metadata Model
