def get_datajob_wu(self, node: Dict[str, Any],
job: Dict[str, Any]) -> MetadataWorkUnit:
"""
Generate a DataJob workunit for a component (node) in a Glue job.
Parameters
----------
node:
Node from process_dataflow_graph()
job:
Job object from get_all_jobs()
"""
mce = MetadataChangeEventClass(proposedSnapshot=DataJobSnapshotClass(
urn=node["urn"],
aspects=[
DataJobInfoClass(
name=f"{job['Name']}:{node['NodeType']}-{node['Id']}",
type="GLUE",
customProperties={
**{x["Name"]: x["Value"]
for x in node["Args"]},
"transformType": node["NodeType"],
"nodeId": node["Id"],
},
),
DataJobInputOutputClass(
inputDatasets=node["inputDatasets"],
outputDatasets=node["outputDatasets"],
inputDatajobs=node["inputDatajobs"],
),
],
))
return MetadataWorkUnit(id=f'{job["Name"]}-{node["Id"]}', mce=mce)
def construct_job_workunits(
self,
job_urn: str,
job_name: str,
external_url: str,
job_type: str,
description: Optional[str],
job_properties: Optional[Dict[str, str]] = None,
inlets: List[str] = [],
outlets: List[str] = [],
inputJobs: List[str] = [],
status: Optional[str] = None,
) -> Iterable[MetadataWorkUnit]:
if job_properties:
job_properties = {k: v for k, v in job_properties.items() if v is not None}
mcp = MetadataChangeProposalWrapper(
entityType="dataJob",
entityUrn=job_urn,
changeType=ChangeTypeClass.UPSERT,
aspectName="dataJobInfo",
aspect=DataJobInfoClass(
name=job_name,
type=job_type,
description=description,
customProperties=job_properties,
externalUrl=external_url,
status=status,
),
)
wu = MetadataWorkUnit(
id=f"{NIFI}.{job_name}.{mcp.aspectName}",
mcp=mcp,
)
self.report.report_workunit(wu)
yield wu
inlets.sort()
outlets.sort()
inputJobs.sort()
mcp = MetadataChangeProposalWrapper(
entityType="dataJob",
entityUrn=job_urn,
changeType=ChangeTypeClass.UPSERT,
aspectName="dataJobInputOutput",
aspect=DataJobInputOutputClass(
inputDatasets=inlets, outputDatasets=outlets, inputDatajobs=inputJobs
),
)
wu = MetadataWorkUnit(
id=f"{NIFI}.{job_name}.{mcp.aspectName}",
mcp=mcp,
)
self.report.report_workunit(wu)
yield wu
def create_common_job_snapshot(
self,
job: Dict[str, Any],
job_type: JobType,
job_url: Optional[str] = None,
) -> Tuple[DataJobSnapshotClass, str, str]:
"""
General function for generating a job snapshot.
"""
job_type_info = job_type_to_info[job_type]
name = job[job_type_info.describe_name_key]
arn = job[job_type_info.describe_arn_key]
sagemaker_status = job[job_type_info.describe_status_key]
mapped_status = job_type_info.status_map.get(sagemaker_status)
if mapped_status is None:
mapped_status = JobStatusClass.UNKNOWN
self.report.report_warning(
name,
f"Unknown status for {name} ({arn}): {sagemaker_status}",
)
job_urn = make_sagemaker_job_urn(job_type.value, name, arn, self.env)
job_snapshot = DataJobSnapshotClass(
urn=job_urn,
aspects=[
DataJobInfoClass(
name=name,
type="SAGEMAKER",
status=mapped_status,
externalUrl=job_url,
customProperties={
**{key: str(value)
for key, value in job.items()},
"jobType": job_type.value,
},
),
BrowsePathsClass(paths=[f"/{job_type.value}/{name}"]),
],
)
return job_snapshot, name, arn
def get_datajob_wu(
self, node: Dict[str, Any], job: Dict[str, Any]
) -> MetadataWorkUnit:
"""
Generate a DataJob workunit for a component (node) in a Glue job.
Parameters
----------
node:
Node from process_dataflow_graph()
job:
Job object from get_all_jobs()
"""
region = self.source_config.aws_region
mce = MetadataChangeEventClass(
proposedSnapshot=DataJobSnapshotClass(
urn=node["urn"],
aspects=[
DataJobInfoClass(
name=f"{job['Name']}:{node['NodeType']}-{node['Id']}",
type="GLUE",
# there's no way to view an individual job node by link, so just show the graph
externalUrl=f"https://{region}.console.aws.amazon.com/gluestudio/home?region={region}#/editor/job/{job['Name']}/graph",
customProperties={
**{x["Name"]: x["Value"] for x in node["Args"]},
"transformType": node["NodeType"],
"nodeId": node["Id"],
},
),
DataJobInputOutputClass(
inputDatasets=node["inputDatasets"],
outputDatasets=node["outputDatasets"],
inputDatajobs=node["inputDatajobs"],
),
],
)
)
return MetadataWorkUnit(id=f'{job["Name"]}-{node["Id"]}', mce=mce)
def generate_mce(self) -> MetadataChangeEventClass:
job_mce = MetadataChangeEventClass(
proposedSnapshot=DataJobSnapshotClass(
urn=str(self.urn),
aspects=[
DataJobInfoClass(
name=self.name if self.name is not None else self.id,
type=AzkabanJobTypeClass.COMMAND,
description=self.description,
customProperties=self.properties,
externalUrl=self.url,
),
DataJobInputOutputClass(
inputDatasets=[str(urn) for urn in self.inlets],
outputDatasets=[str(urn) for urn in self.outlets],
inputDatajobs=[str(urn) for urn in self.upstream_urns],
),
*self.generate_ownership_aspect(),
*self.generate_tags_aspect(),
],
))
return job_mce
def generate_mcp(self) -> Iterable[MetadataChangeProposalWrapper]:
mcp = MetadataChangeProposalWrapper(
entityType="datajob",
entityUrn=str(self.urn),
aspectName="dataJobInfo",
aspect=DataJobInfoClass(
name=self.name if self.name is not None else self.id,
type=AzkabanJobTypeClass.COMMAND,
description=self.description,
customProperties=self.properties,
externalUrl=self.url,
),
changeType=ChangeTypeClass.UPSERT,
)
yield mcp
yield from self.generate_data_input_output_mcp()
for owner in self.generate_ownership_aspect():
mcp = MetadataChangeProposalWrapper(
entityType="datajob",
entityUrn=str(self.urn),
aspectName="ownership",
aspect=owner,
changeType=ChangeTypeClass.UPSERT,
)
yield mcp
for tag in self.generate_tags_aspect():
mcp = MetadataChangeProposalWrapper(
entityType="datajob",
entityUrn=str(self.urn),
aspectName="globalTags",
aspect=tag,
changeType=ChangeTypeClass.UPSERT,
)
yield mcp
