feat(ingest): bump acryl-sqlglot dep (datahub-project#10343)

sleeperdeep · Jun 25, 2024 · df9a2b6 · df9a2b6
1 parent 78cf276
commit df9a2b6
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Showing 3 changed files with 9 additions and 5 deletions.
diff --git a/metadata-ingestion/setup.py b/metadata-ingestion/setup.py
@@ -99,7 +99,7 @@
 sqlglot_lib = {
     # Using an Acryl fork of sqlglot.
     # https://github.com/tobymao/sqlglot/compare/main...hsheth2:sqlglot:hsheth?expand=1
-    "acryl-sqlglot==23.2.1.dev5",
+    "acryl-sqlglot==23.11.2.dev2",
 }
 
 classification_lib = {

diff --git a/metadata-ingestion/tests/unit/sql_parsing/goldens/test_select_max_with_schema.json b/metadata-ingestion/tests/unit/sql_parsing/goldens/test_select_max_with_schema.json
@@ -11,8 +11,12 @@
             "downstream": {
                 "table": null,
                 "column": "max_col",
-                "column_type": null,
-                "native_column_type": null
+                "column_type": {
+                    "type": {
+                        "com.linkedin.pegasus2avro.schema.NumberType": {}
+                    }
+                },
+                "native_column_type": "DECIMAL"
             },
             "upstreams": [
                 {

diff --git a/metadata-ingestion/tests/unit/sql_parsing/goldens/test_snowflake_default_normalization.json b/metadata-ingestion/tests/unit/sql_parsing/goldens/test_snowflake_default_normalization.json
@@ -3,7 +3,7 @@
     "query_type_props": {
         "kind": "TABLE"
     },
-    "query_fingerprint": "2aa655ab211e061dc8c1161e0b2a7073b38636f9ffcc4719d4e70743e3321cb2",
+    "query_fingerprint": "58a15c69c357905aec390867335699413678368f321bfde6f477c08a973ca3a9",
     "in_tables": [
         "urn:li:dataset:(urn:li:dataPlatform:snowflake,long_tail_companions.analytics.customer_last_purchase_date,PROD)",
         "urn:li:dataset:(urn:li:dataPlatform:snowflake,long_tail_companions.ecommerce.purchases,PROD)"
@@ -127,6 +127,6 @@
     ],
     "debug_info": {
         "confidence": 0.4,
-        "generalized_statement": "CREATE TABLE active_customer_ltv AS (WITH active_customers AS (SELECT * FROM customer_last_purchase_date WHERE last_purchase_date >= CURRENT_DATE - INTERVAL DAYS), purchases AS (SELECT * FROM ecommerce.purchases) SELECT active_customers.user_fk, active_customers.email, active_customers.last_purchase_date, SUM(purchases.purchase_amount) AS lifetime_purchase_amount, COUNT(DISTINCT (purchases.pk)) AS lifetime_purchase_count, SUM(purchases.purchase_amount) / COUNT(DISTINCT (purchases.pk)) AS average_purchase_amount FROM active_customers JOIN purchases ON active_customers.user_fk = purchases.user_fk GROUP BY ?, ?, ?)"
+        "generalized_statement": "CREATE TABLE active_customer_ltv AS (WITH active_customers AS (SELECT * FROM customer_last_purchase_date WHERE last_purchase_date >= CURRENT_DATE - INTERVAL '? DAYS'), purchases AS (SELECT * FROM ecommerce.purchases) SELECT active_customers.user_fk, active_customers.email, active_customers.last_purchase_date, SUM(purchases.purchase_amount) AS lifetime_purchase_amount, COUNT(DISTINCT (purchases.pk)) AS lifetime_purchase_count, SUM(purchases.purchase_amount) / COUNT(DISTINCT (purchases.pk)) AS average_purchase_amount FROM active_customers JOIN purchases ON active_customers.user_fk = purchases.user_fk GROUP BY ?, ?, ?)"
     }
 }