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fix(ingestion/powerbi): handle special character #(tab) in native query parsing #10520

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Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@
create_lineage_sql_parsed_result,
)

SPECIAL_CHARACTERS = ["#(lf)", "(lf)"]
SPECIAL_CHARACTERS = ["#(lf)", "(lf)", "#(tab)"]

logger = logging.getLogger(__name__)

Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -1027,6 +1027,7 @@ def create_lineage(
self.current_data_platform = self.SUPPORTED_NATIVE_QUERY_DATA_PLATFORM[
data_access_tokens[0]
]

# First argument is the query
sql_query: str = tree_function.strip_char_from_list(
values=tree_function.remove_whitespaces_from_list(
Expand Down
41 changes: 41 additions & 0 deletions metadata-ingestion/tests/integration/powerbi/test_m_parser.py
Original file line number Diff line number Diff line change
Expand Up @@ -46,6 +46,7 @@
'let\n Source = Value.NativeQuery(AmazonRedshift.Database("redshift-url","dev"), "select * from dev.public.category", null, [EnableFolding=true]) \n in Source',
'let\n Source = Databricks.Catalogs("adb-123.azuredatabricks.net", "/sql/1.0/endpoints/12345dc91aa25844", [Catalog=null, Database=null]),\n hive_metastore_Database = Source{[Name="hive_metastore",Kind="Database"]}[Data],\n sandbox_revenue_Schema = hive_metastore_Database{[Name="sandbox_revenue",Kind="Schema"]}[Data],\n public_consumer_price_index_Table = sandbox_revenue_Schema{[Name="public_consumer_price_index",Kind="Table"]}[Data],\n #"Renamed Columns" = Table.RenameColumns(public_consumer_price_index_Table,{{"Country", "country"}, {"Metric", "metric"}}),\n #"Inserted Year" = Table.AddColumn(#"Renamed Columns", "ID", each Date.Year([date_id]) + Date.Month([date_id]), Text.Type),\n #"Added Custom" = Table.AddColumn(#"Inserted Year", "Custom", each Text.Combine({Number.ToText(Date.Year([date_id])), Number.ToText(Date.Month([date_id])), [country]})),\n #"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"ID"}),\n #"Renamed Columns1" = Table.RenameColumns(#"Removed Columns",{{"Custom", "ID"}}),\n #"Filtered Rows" = Table.SelectRows(#"Renamed Columns1", each ([metric] = "Consumer Price Index") and (not Number.IsNaN([value])))\nin\n #"Filtered Rows"',
"let\n Source = Value.NativeQuery(Snowflake.Databases(\"bu10758.ap-unknown-2.fakecomputing.com\",\"operations_analytics_warehouse_prod\",[Role=\"OPERATIONS_ANALYTICS_MEMBER\"]){[Name=\"OPERATIONS_ANALYTICS\"]}[Data], \"select #(lf)UPPER(REPLACE(AGENT_NAME,'-','')) AS CLIENT_DIRECTOR,#(lf)TIER,#(lf)UPPER(MANAGER),#(lf)TEAM_TYPE,#(lf)DATE_TARGET,#(lf)MONTHID,#(lf)TARGET_TEAM,#(lf)SELLER_EMAIL,#(lf)concat((UPPER(REPLACE(AGENT_NAME,'-',''))), MONTHID) as AGENT_KEY,#(lf)UNIT_TARGET AS SME_Quota,#(lf)AMV_TARGET AS Revenue_Quota,#(lf)SERVICE_QUOTA,#(lf)BL_TARGET,#(lf)SOFTWARE_QUOTA as Software_Quota#(lf)#(lf)from OPERATIONS_ANALYTICS.TRANSFORMED_PROD.V_SME_UNIT_TARGETS inner join OPERATIONS_ANALYTICS.TRANSFORMED_PROD.V_SME_UNIT #(lf)#(lf)where YEAR_TARGET >= 2022#(lf)and TEAM_TYPE = 'Accounting'#(lf)and TARGET_TEAM = 'Enterprise'#(lf)AND TIER = 'Client Director'\", null, [EnableFolding=true])\nin\n Source",
'let\n Source = Value.NativeQuery(Snowflake.Databases("0DD93C6BD5A6.snowflakecomputing.com","sales_analytics_warehouse_prod",[Role="sales_analytics_member_ad"]){[Name="ORDERING"]}[Data], "SELECT#(lf) DISTINCT#(lf) T5.PRESENTMENT_START_DATE#(lf),T5.PRESENTMENT_END_DATE#(lf),T5.DISPLAY_NAME#(lf),T5.NAME#(tab)#(lf),T5.PROMO_DISPLAY_NAME#(lf),T5.REGION#(lf),T5.ID#(lf),T5.WALKOUT#(lf),T6.DEAL_ID#(lf),T6.TYPE#(lf),T5.FREE_PERIOD#(lf),T6.PRICE_MODIFICATION#(lf)#(lf)FROM#(lf)#(lf)(#(lf) SELECT #(lf) T1.NAME#(lf),DATE(T1.CREATED_AT) as CREATED_AT#(lf),T1.PROMO_CODE#(lf),T1.STATUS#(lf),DATE(T1.UPDATED_AT) as UPDATED_AT#(lf),T1.ID#(lf),T1.DISPLAY_NAME as PROMO_DISPLAY_NAME#(lf),T4.*#(lf)FROM#(lf)(SELECT#(lf) DISTINCT#(lf) NAME#(lf),CREATED_AT#(lf),PROMO_CODE#(lf),STATUS#(lf),UPDATED_AT#(lf),ID#(lf),DISPLAY_NAME#(lf) FROM RAW.PROMOTIONS#(lf)#(lf)) T1#(lf)INNER JOIN#(lf)#(lf) (#(lf) SELECT #(lf) T3.PRODUCT_STATUS#(lf),T3.CODE#(lf),T3.REGION#(lf),T3.DISPLAY_ORDER_SEQUENCE#(lf),T3.PRODUCT_LINE_ID#(lf),T3.DISPLAY_NAME#(lf),T3.PRODUCT_TYPE#(lf),T3.ID as PROD_TBL_ID#(lf),T3.NAME as PROD_TBL_NAME#(lf),DATE(T2.PRESENTMENT_END_DATE) as PRESENTMENT_END_DATE#(lf),T2.PRICE_COMMITMENT_PERIOD#(lf),T2.NAME as SEAL_TBL_NAME#(lf),DATE(T2.CREATED_AT) as SEAL_TBL_CREATED_AT#(lf),T2.DESCRIPTION#(lf),T2.FREE_PERIOD#(lf),T2.WALKOUT#(lf),T2.PRODUCT_CAT_ID#(lf),T2.PROMOTION_ID#(lf),DATE(T2.PRESENTMENT_START_DATE) as PRESENTMENT_START_DATE#(lf),YEAR(T2.PRESENTMENT_START_DATE) as DEAL_YEAR_START#(lf),MONTH(T2.PRESENTMENT_START_DATE) as DEAL_MONTH_START#(lf),T2.DEAL_TYPE#(lf),DATE(T2.UPDATED_AT) as SEAL_TBL_UPDATED_AT#(lf),T2.ID as SEAL_TBL_ID#(lf),T2.STATUS as SEAL_TBL_STATUS#(lf)FROM#(lf)(SELECT#(lf) DISTINCT#(lf) PRODUCT_STATUS#(lf),CODE#(lf),REGION#(lf),DISPLAY_ORDER_SEQUENCE#(lf),PRODUCT_LINE_ID#(lf),DISPLAY_NAME#(lf),PRODUCT_TYPE#(lf),ID #(lf),NAME #(lf) FROM#(lf) RAW.PRODUCTS#(lf)#(lf)) T3#(lf)INNER JOIN#(lf)(#(lf) SELECT#(lf) DISTINCT#(lf) PRESENTMENT_END_DATE#(lf),PRICE_COMMITMENT_PERIOD#(lf),NAME#(lf),CREATED_AT#(lf),DESCRIPTION#(lf),FREE_PERIOD#(lf),WALKOUT#(lf),PRODUCT_CAT_ID#(lf),PROMOTION_ID#(lf),PRESENTMENT_START_DATE#(lf),DEAL_TYPE#(lf),UPDATED_AT#(lf),ID#(lf),STATUS#(lf) FROM#(lf) RAW.DEALS#(lf)#(lf)) T2#(lf)ON#(lf)T3.ID = T2.PRODUCT_CAT_ID #(lf)WHERE#(lf)T2.PRESENTMENT_START_DATE >= \'2015-01-01\'#(lf)AND#(lf)T2.STATUS = \'active\'#(lf)#(lf))T4#(lf)ON#(lf)T1.ID = T4.PROMOTION_ID#(lf))T5#(lf)INNER JOIN#(lf)RAW.PRICE_MODIFICATIONS T6#(lf)ON#(lf)T5.SEAL_TBL_ID = T6.DEAL_ID", null, [EnableFolding=true]) \n in \n Source',
]


Expand Down Expand Up @@ -763,3 +764,43 @@ def test_sqlglot_parser():
assert lineage[0].column_lineage[i].downstream.table is None
assert lineage[0].column_lineage[i].downstream.column == column
assert lineage[0].column_lineage[i].upstreams == []


def test_sqlglot_parser_2():
table: powerbi_data_classes.Table = powerbi_data_classes.Table(
expression=M_QUERIES[25],
name="SALES_TARGET",
full_name="dev.public.sales",
)
reporter = PowerBiDashboardSourceReport()

ctx, config, platform_instance_resolver = get_default_instances(
override_config={
"server_to_platform_instance": {
"0DD93C6BD5A6.snowflakecomputing.com": {
"platform_instance": "sales_deployment",
"env": "PROD",
}
},
"native_query_parsing": True,
"enable_advance_lineage_sql_construct": True,
}
)

lineage: List[resolver.Lineage] = parser.get_upstream_tables(
table,
reporter,
ctx=ctx,
config=config,
platform_instance_resolver=platform_instance_resolver,
)

data_platform_tables: List[DataPlatformTable] = lineage[0].upstreams

assert len(data_platform_tables) == 4
assert [dpt.urn for dpt in data_platform_tables] == [
"urn:li:dataset:(urn:li:dataPlatform:snowflake,sales_deployment.raw.deals,PROD)",
"urn:li:dataset:(urn:li:dataPlatform:snowflake,sales_deployment.raw.price_modifications,PROD)",
"urn:li:dataset:(urn:li:dataPlatform:snowflake,sales_deployment.raw.products,PROD)",
"urn:li:dataset:(urn:li:dataPlatform:snowflake,sales_deployment.raw.promotions,PROD)",
]
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