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fix(ingest/transformer): avoid duplicating terms (#10348)

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dushayntAW 2024-04-22 20:15:58 +05:30 committed by GitHub
parent 08731055ba
commit 3668a56df7
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1 changed files with 10 additions and 3 deletions
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13
metadata-ingestion/src/datahub/ingestion/transformer/add_dataset_schema_terms.py
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@ -71,6 +71,15 @@ class AddDatasetSchemaTerms(DatasetSchemaMetadataTransformer):
if len(terms_to_add) == 0:
terms_to_add = all_terms
new_glossary_terms = []
new_glossary_terms.extend(server_terms)
new_glossary_terms.extend(terms_to_add)
unique_gloseary_terms = []
for term in new_glossary_terms:
if term not in unique_gloseary_terms:
unique_gloseary_terms.append(term)
new_glossary_term = GlossaryTermsClass(
terms=[],
auditStamp=schema_field.glossaryTerms.auditStamp
@ -79,11 +88,9 @@ class AddDatasetSchemaTerms(DatasetSchemaMetadataTransformer):
time=builder.get_sys_time(), actor="urn:li:corpUser:restEmitter"
),
)
new_glossary_term.terms.extend(terms_to_add)
new_glossary_term.terms.extend(server_terms)
new_glossary_term.terms.extend(unique_gloseary_terms)
schema_field.glossaryTerms = new_glossary_term
return schema_field
def transform_aspect(