yujunjun/datahub
2
0
Fork 0
mirror of https://github.com/datahub-project/datahub.git synced 2025-11-04 04:39:10 +00:00
Code Issues Packages Projects Releases Wiki Activity

fix(ingest/fivetran): Add way to not add schema to the destination/source urn. (#12314)

Browse Source
This commit is contained in:
Tamas Nemeth 2025-01-20 13:38:12 +01:00 committed by GitHub
parent ef36837ba0
commit 7eab2eb8d9
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
5 changed files with 725 additions and 14 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
metadata-ingestion/src/datahub/ingestion/source/fivetran/config.py
View File

@ -167,6 +167,10 @@ class PlatformDetail(ConfigModel):
description="The database that all assets produced by this connector belong to. "
"For destinations, this defaults to the fivetran log config's database.",
)
include_schema_in_urn: bool = pydantic.Field(
default=True,
description="Include schema in the dataset URN. In some cases, the schema is not relevant to the dataset URN and Fivetran sets it to the source and destination table names in the connector.",
)
class FivetranSourceConfig(StatefulIngestionConfigBase, DatasetSourceConfigMixin):

20
metadata-ingestion/src/datahub/ingestion/source/fivetran/fivetran.py
View File

@ -119,21 +119,31 @@ class FivetranSource(StatefulIngestionSourceBase):
)
for lineage in connector.lineage:
source_table = (
lineage.source_table
if source_details.include_schema_in_urn
else lineage.source_table.split(".", 1)[1]
)
input_dataset_urn = DatasetUrn.create_from_ids(
platform_id=source_details.platform,
table_name=(
f"{source_details.database.lower()}.{lineage.source_table}"
f"{source_details.database.lower()}.{source_table}"
if source_details.database
else lineage.source_table
else source_table
),
env=source_details.env,
platform_instance=source_details.platform_instance,
)
input_dataset_urn_list.append(input_dataset_urn)
destination_table = (
lineage.destination_table
if destination_details.include_schema_in_urn
else lineage.destination_table.split(".", 1)[1]
)
output_dataset_urn = DatasetUrn.create_from_ids(
platform_id=destination_details.platform,
table_name=f"{destination_details.database.lower()}.{lineage.destination_table}",
table_name=f"{destination_details.database.lower()}.{destination_table}",
env=destination_details.env,
platform_instance=destination_details.platform_instance,
)
@ -176,12 +186,12 @@ class FivetranSource(StatefulIngestionSourceBase):
**{
f"source.{k}": str(v)
for k, v in source_details.dict().items()
if v is not None
if v is not None and not isinstance(v, bool)
},
**{
f"destination.{k}": str(v)
for k, v in destination_details.dict().items()
if v is not None
if v is not None and not isinstance(v, bool)
},
)

317
metadata-ingestion/tests/integration/fivetran/fivetran_snowflake_empty_connection_user_golden.json
View File

@ -595,6 +595,323 @@
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataFlow",
"entityUrn": "urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD)",
"changeType": "UPSERT",
"aspectName": "dataFlowInfo",
"aspect": {
"json": {
"customProperties": {},
"name": "confluent_cloud",
"env": "PROD"
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataFlow",
"entityUrn": "urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD)",
"changeType": "UPSERT",
"aspectName": "status",
"aspect": {
"json": {
"removed": false
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataFlow",
"entityUrn": "urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD)",
"changeType": "UPSERT",
"aspectName": "ownership",
"aspect": {
"json": {
"owners": [],
"ownerTypes": {},
"lastModified": {
"time": 0,
"actor": "urn:li:corpuser:fivetran"
}
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataFlow",
"entityUrn": "urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD)",
"changeType": "UPSERT",
"aspectName": "globalTags",
"aspect": {
"json": {
"tags": []
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataJob",
"entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD),my_confluent_cloud_connector_id)",
"changeType": "UPSERT",
"aspectName": "dataJobInfo",
"aspect": {
"json": {
"customProperties": {
"connector_id": "my_confluent_cloud_connector_id",
"connector_type": "confluent_cloud",
"paused": "False",
"sync_frequency": "1440",
"destination_id": "interval_unconstitutional",
"source.platform": "kafka",
"source.env": "PROD",
"source.database": "kafka_prod",
"destination.platform": "snowflake",
"destination.env": "PROD",
"destination.database": "test_database"
},
"name": "confluent_cloud",
"type": {
"string": "COMMAND"
},
"env": "PROD"
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataJob",
"entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD),my_confluent_cloud_connector_id)",
"changeType": "UPSERT",
"aspectName": "status",
"aspect": {
"json": {
"removed": false
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataJob",
"entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD),my_confluent_cloud_connector_id)",
"changeType": "UPSERT",
"aspectName": "dataJobInputOutput",
"aspect": {
"json": {
"inputDatasets": [
"urn:li:dataset:(urn:li:dataPlatform:kafka,kafka_prod.my-source-topic,PROD)"
],
"outputDatasets": [
"urn:li:dataset:(urn:li:dataPlatform:snowflake,test_database.confluent_cloud.my-destination-topic,PROD)"
],
"inputDatajobs": [],
"fineGrainedLineages": []
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataJob",
"entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD),my_confluent_cloud_connector_id)",
"changeType": "UPSERT",
"aspectName": "ownership",
"aspect": {
"json": {
"owners": [],
"ownerTypes": {},
"lastModified": {
"time": 0,
"actor": "urn:li:corpuser:fivetran"
}
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataJob",
"entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD),my_confluent_cloud_connector_id)",
"changeType": "UPSERT",
"aspectName": "globalTags",
"aspect": {
"json": {
"tags": []
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataProcessInstance",
"entityUrn": "urn:li:dataProcessInstance:08bddbc8007d76bfbbb8e231d1c65290",
"changeType": "UPSERT",
"aspectName": "dataProcessInstanceProperties",
"aspect": {
"json": {
"customProperties": {},
"name": "d9a03d6-eded-4422-a46a-163266e58244",
"type": "BATCH_SCHEDULED",
"created": {
"time": 1695191853000,
"actor": "urn:li:corpuser:datahub"
}
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataProcessInstance",
"entityUrn": "urn:li:dataProcessInstance:08bddbc8007d76bfbbb8e231d1c65290",
"changeType": "UPSERT",
"aspectName": "dataProcessInstanceRelationships",
"aspect": {
"json": {
"parentTemplate": "urn:li:dataJob:(urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD),my_confluent_cloud_connector_id)",
"upstreamInstances": []
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataProcessInstance",
"entityUrn": "urn:li:dataProcessInstance:08bddbc8007d76bfbbb8e231d1c65290",
"changeType": "UPSERT",
"aspectName": "dataProcessInstanceInput",
"aspect": {
"json": {
"inputs": [
"urn:li:dataset:(urn:li:dataPlatform:kafka,kafka_prod.my-source-topic,PROD)"
]
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataProcessInstance",
"entityUrn": "urn:li:dataProcessInstance:08bddbc8007d76bfbbb8e231d1c65290",
"changeType": "UPSERT",
"aspectName": "dataProcessInstanceOutput",
"aspect": {
"json": {
"outputs": [
"urn:li:dataset:(urn:li:dataPlatform:snowflake,test_database.confluent_cloud.my-destination-topic,PROD)"
]
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataProcessInstance",
"entityUrn": "urn:li:dataProcessInstance:08bddbc8007d76bfbbb8e231d1c65290",
"changeType": "UPSERT",
"aspectName": "dataProcessInstanceRunEvent",
"aspect": {
"json": {
"timestampMillis": 1695191853000,
"partitionSpec": {
"partition": "FULL_TABLE_SNAPSHOT",
"type": "FULL_TABLE"
},
"status": "STARTED"
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataProcessInstance",
"entityUrn": "urn:li:dataProcessInstance:08bddbc8007d76bfbbb8e231d1c65290",
"changeType": "UPSERT",
"aspectName": "dataProcessInstanceRunEvent",
"aspect": {
"json": {
"timestampMillis": 1695191885000,
"partitionSpec": {
"partition": "FULL_TABLE_SNAPSHOT",
"type": "FULL_TABLE"
},
"status": "COMPLETE",
"result": {
"type": "SUCCESS",
"nativeResultType": "fivetran"
}
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataProcessInstance",
"entityUrn": "urn:li:dataProcessInstance:08bddbc8007d76bfbbb8e231d1c65290",
"changeType": "UPSERT",
"aspectName": "status",
"aspect": {
"json": {
"removed": false
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataProcessInstance",
"entityUrn": "urn:li:dataProcessInstance:be36f55c13ec4e313c7510770e50784a",

325
metadata-ingestion/tests/integration/fivetran/fivetran_snowflake_golden.json
View File

@ -603,6 +603,331 @@
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataFlow",
"entityUrn": "urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD)",
"changeType": "UPSERT",
"aspectName": "dataFlowInfo",
"aspect": {
"json": {
"customProperties": {},
"name": "confluent_cloud",
"env": "PROD"
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataFlow",
"entityUrn": "urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD)",
"changeType": "UPSERT",
"aspectName": "status",
"aspect": {
"json": {
"removed": false
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataFlow",
"entityUrn": "urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD)",
"changeType": "UPSERT",
"aspectName": "ownership",
"aspect": {
"json": {
"owners": [],
"ownerTypes": {},
"lastModified": {
"time": 0,
"actor": "urn:li:corpuser:fivetran"
}
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataFlow",
"entityUrn": "urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD)",
"changeType": "UPSERT",
"aspectName": "globalTags",
"aspect": {
"json": {
"tags": []
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataJob",
"entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD),my_confluent_cloud_connector_id)",
"changeType": "UPSERT",
"aspectName": "dataJobInfo",
"aspect": {
"json": {
"customProperties": {
"connector_id": "my_confluent_cloud_connector_id",
"connector_type": "confluent_cloud",
"paused": "False",
"sync_frequency": "1440",
"destination_id": "my_confluent_cloud_connector_id",
"source.platform": "kafka",
"source.env": "PROD",
"source.database": "kafka_prod",
"destination.platform": "kafka",
"destination.env": "PROD",
"destination.database": "kafka_prod"
},
"name": "confluent_cloud",
"type": {
"string": "COMMAND"
},
"env": "PROD"
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataJob",
"entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD),my_confluent_cloud_connector_id)",
"changeType": "UPSERT",
"aspectName": "status",
"aspect": {
"json": {
"removed": false
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataJob",
"entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD),my_confluent_cloud_connector_id)",
"changeType": "UPSERT",
"aspectName": "dataJobInputOutput",
"aspect": {
"json": {
"inputDatasets": [
"urn:li:dataset:(urn:li:dataPlatform:kafka,kafka_prod.my-source-topic,PROD)"
],
"outputDatasets": [
"urn:li:dataset:(urn:li:dataPlatform:kafka,kafka_prod.my-destination-topic,PROD)"
],
"inputDatajobs": [],
"fineGrainedLineages": []
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataJob",
"entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD),my_confluent_cloud_connector_id)",
"changeType": "UPSERT",
"aspectName": "ownership",
"aspect": {
"json": {
"owners": [
{
"owner": "urn:li:corpuser:abc.xyz@email.com",
"type": "DEVELOPER",
"source": {
"type": "SERVICE"
}
}
],
"ownerTypes": {},
"lastModified": {
"time": 0,
"actor": "urn:li:corpuser:fivetran"
}
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataJob",
"entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD),my_confluent_cloud_connector_id)",
"changeType": "UPSERT",
"aspectName": "globalTags",
"aspect": {
"json": {
"tags": []
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataProcessInstance",
"entityUrn": "urn:li:dataProcessInstance:08bddbc8007d76bfbbb8e231d1c65290",
"changeType": "UPSERT",
"aspectName": "dataProcessInstanceProperties",
"aspect": {
"json": {
"customProperties": {},
"name": "d9a03d6-eded-4422-a46a-163266e58244",
"type": "BATCH_SCHEDULED",
"created": {
"time": 1695191853000,
"actor": "urn:li:corpuser:datahub"
}
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataProcessInstance",
"entityUrn": "urn:li:dataProcessInstance:08bddbc8007d76bfbbb8e231d1c65290",
"changeType": "UPSERT",
"aspectName": "dataProcessInstanceRelationships",
"aspect": {
"json": {
"parentTemplate": "urn:li:dataJob:(urn:li:dataFlow:(fivetran,my_confluent_cloud_connector_id,PROD),my_confluent_cloud_connector_id)",
"upstreamInstances": []
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataProcessInstance",
"entityUrn": "urn:li:dataProcessInstance:08bddbc8007d76bfbbb8e231d1c65290",
"changeType": "UPSERT",
"aspectName": "dataProcessInstanceInput",
"aspect": {
"json": {
"inputs": [
"urn:li:dataset:(urn:li:dataPlatform:kafka,kafka_prod.my-source-topic,PROD)"
]
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataProcessInstance",
"entityUrn": "urn:li:dataProcessInstance:08bddbc8007d76bfbbb8e231d1c65290",
"changeType": "UPSERT",
"aspectName": "dataProcessInstanceOutput",
"aspect": {
"json": {
"outputs": [
"urn:li:dataset:(urn:li:dataPlatform:kafka,kafka_prod.my-destination-topic,PROD)"
]
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataProcessInstance",
"entityUrn": "urn:li:dataProcessInstance:08bddbc8007d76bfbbb8e231d1c65290",
"changeType": "UPSERT",
"aspectName": "dataProcessInstanceRunEvent",
"aspect": {
"json": {
"timestampMillis": 1695191853000,
"partitionSpec": {
"partition": "FULL_TABLE_SNAPSHOT",
"type": "FULL_TABLE"
},
"status": "STARTED"
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataProcessInstance",
"entityUrn": "urn:li:dataProcessInstance:08bddbc8007d76bfbbb8e231d1c65290",
"changeType": "UPSERT",
"aspectName": "dataProcessInstanceRunEvent",
"aspect": {
"json": {
"timestampMillis": 1695191885000,
"partitionSpec": {
"partition": "FULL_TABLE_SNAPSHOT",
"type": "FULL_TABLE"
},
"status": "COMPLETE",
"result": {
"type": "SUCCESS",
"nativeResultType": "fivetran"
}
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataProcessInstance",
"entityUrn": "urn:li:dataProcessInstance:08bddbc8007d76bfbbb8e231d1c65290",
"changeType": "UPSERT",
"aspectName": "status",
"aspect": {
"json": {
"removed": false
}
},
"systemMetadata": {
"lastObserved": 1654621200000,
"runId": "powerbi-test",
"lastRunId": "no-run-id-provided"
}
},
{
"entityType": "dataProcessInstance",
"entityUrn": "urn:li:dataProcessInstance:be36f55c13ec4e313c7510770e50784a",

73
metadata-ingestion/tests/integration/fivetran/test_fivetran.py
View File

@ -32,6 +32,15 @@ default_connector_query_results = [
"sync_frequency": 1440,
"destination_id": "interval_unconstitutional",
},
{
"connector_id": "my_confluent_cloud_connector_id",
"connecting_user_id": "reapply_phone",
"connector_type_id": "confluent_cloud",
"connector_name": "confluent_cloud",
"paused": False,
"sync_frequency": 1440,
"destination_id": "my_confluent_cloud_connector_id",
},
]
@ -45,7 +54,7 @@ def default_query_results(
elif query == fivetran_log_query.get_connectors_query():
return connector_query_results
elif query == fivetran_log_query.get_table_lineage_query(
connector_ids=["calendar_elected"]
connector_ids=["calendar_elected", "my_confluent_cloud_connector_id"]
):
return [
{
@ -66,9 +75,18 @@ def default_query_results(
"destination_table_name": "company",
"destination_schema_name": "postgres_public",
},
{
"connector_id": "my_confluent_cloud_connector_id",
"source_table_id": "10042",
"source_table_name": "my-source-topic",
"source_schema_name": "confluent_cloud",
"destination_table_id": "7781",
"destination_table_name": "my-destination-topic",
"destination_schema_name": "confluent_cloud",
},
]
elif query == fivetran_log_query.get_column_lineage_query(
connector_ids=["calendar_elected"]
connector_ids=["calendar_elected", "my_confluent_cloud_connector_id"]
):
return [
{
@ -107,7 +125,7 @@ def default_query_results(
]
elif query == fivetran_log_query.get_sync_logs_query(
syncs_interval=7,
connector_ids=["calendar_elected"],
connector_ids=["calendar_elected", "my_confluent_cloud_connector_id"],
):
return [
{
@ -131,6 +149,13 @@ def default_query_results(
"end_time": datetime.datetime(2023, 10, 3, 14, 36, 29, 678000),
"end_message_data": '"{\\"reason\\":\\"java.lang.RuntimeException: FATAL: too many connections for role \\\\\\"hxwraqld\\\\\\"\\",\\"taskType\\":\\"reconnect\\",\\"status\\":\\"FAILURE_WITH_TASK\\"}"',
},
{
"connector_id": "my_confluent_cloud_connector_id",
"sync_id": "d9a03d6-eded-4422-a46a-163266e58244",
"start_time": datetime.datetime(2023, 9, 20, 6, 37, 32, 606000),
"end_time": datetime.datetime(2023, 9, 20, 6, 38, 5, 56000),
"end_message_data": '"{\\"status\\":\\"SUCCESSFUL\\"}"',
},
]
# Unreachable code
raise Exception(f"Unknown query {query}")
@ -172,19 +197,30 @@ def test_fivetran_with_snowflake_dest(pytestconfig, tmp_path):
},
},
"connector_patterns": {
"allow": [
"postgres",
]
"allow": ["postgres", "confluent_cloud"]
},
"destination_patterns": {
"allow": [
"interval_unconstitutional",
"my_confluent_cloud_connector_id",
]
},
"sources_to_platform_instance": {
"calendar_elected": {
"database": "postgres_db",
"env": "DEV",
},
"my_confluent_cloud_connector_id": {
"platform": "kafka",
"include_schema_in_urn": False,
"database": "kafka_prod",
},
},
"destination_to_platform_instance": {
"my_confluent_cloud_connector_id": {
"platform": "kafka",
"include_schema_in_urn": False,
"database": "kafka_prod",
}
},
},
@ -234,6 +270,15 @@ def test_fivetran_with_snowflake_dest_and_null_connector_user(pytestconfig, tmp_
"sync_frequency": 1440,
"destination_id": "interval_unconstitutional",
},
{
"connector_id": "my_confluent_cloud_connector_id",
"connecting_user_id": None,
"connector_type_id": "confluent_cloud",
"connector_name": "confluent_cloud",
"paused": False,
"sync_frequency": 1440,
"destination_id": "interval_unconstitutional",
},
]
connection_magic_mock.execute.side_effect = partial(
@ -261,9 +306,7 @@ def test_fivetran_with_snowflake_dest_and_null_connector_user(pytestconfig, tmp_
},
},
"connector_patterns": {
"allow": [
"postgres",
]
"allow": ["postgres", "confluent_cloud"]
},
"destination_patterns": {
"allow": [
@ -275,6 +318,18 @@ def test_fivetran_with_snowflake_dest_and_null_connector_user(pytestconfig, tmp_
"platform": "postgres",
"env": "DEV",
"database": "postgres_db",
},
"my_confluent_cloud_connector_id": {
"platform": "kafka",
"database": "kafka_prod",
"include_schema_in_urn": False,
},
},
"destination_to_platform_instance": {
"my_confluent_cloud_connector_id": {
"platform": "kafka",
"database": "kafka_prod",
"include_schema_in_urn": False,
}
},
},