fix(ingest): bigquery-beta - Additional fixes for Bigquery beta

metadata-ingestion/setup.py

@@ -150,7 +150,7 @@ def get_long_description():
     "sqlalchemy-redshift",
     "psycopg2-binary",
     "GeoAlchemy2",
-    "sqllineage==1.3.5",
+    "sqllineage==1.3.6",
     *path_spec_common,
 }
 
@@ -216,18 +216,18 @@ def get_long_description():
         "gql>=3.3.0",
         "gql[requests]>=3.3.0",
     },
-    "great-expectations": sql_common | {"sqllineage==1.3.5"},
+    "great-expectations": sql_common | {"sqllineage==1.3.6"},
     # Source plugins
     # PyAthena is pinned with exact version because we use private method in PyAthena
     "athena": sql_common | {"PyAthena[SQLAlchemy]==2.4.1"},
     "azure-ad": set(),
     "bigquery": sql_common
     | bigquery_common
-    | {"sqlalchemy-bigquery>=1.4.1", "sqllineage==1.3.5", "sqlparse"},
+    | {"sqlalchemy-bigquery>=1.4.1", "sqllineage==1.3.6", "sqlparse"},
     "bigquery-usage": bigquery_common | usage_common | {"cachetools"},
     "bigquery-beta": sql_common
     | bigquery_common
-    | {"sqllineage==1.3.5", "sql_metadata"},
+    | {"sqllineage==1.3.6", "sql_metadata"},
     "clickhouse": sql_common | {"clickhouse-sqlalchemy==0.1.8"},
     "clickhouse-usage": sql_common
     | usage_common
@@ -269,9 +269,9 @@ def get_long_description():
     "looker": looker_common,
     # lkml>=1.1.2 is required to support the sql_preamble expression in LookML
     "lookml": looker_common
-    | {"lkml>=1.1.2", "sql-metadata==2.2.2", "sqllineage==1.3.5", "GitPython>2"},
-    "metabase": {"requests", "sqllineage==1.3.5"},
-    "mode": {"requests", "sqllineage==1.3.5", "tenacity>=8.0.1"},
+    | {"lkml>=1.1.2", "sql-metadata==2.2.2", "sqllineage==1.3.6", "GitPython>2"},
+    "metabase": {"requests", "sqllineage==1.3.6"},
+    "mode": {"requests", "sqllineage==1.3.6", "tenacity>=8.0.1"},
     "mongodb": {"pymongo[srv]>=3.11", "packaging"},
     "mssql": sql_common | {"sqlalchemy-pytds>=0.3"},
     "mssql-odbc": sql_common | {"pyodbc"},
@@ -284,7 +284,7 @@ def get_long_description():
     "presto-on-hive": sql_common
     | {"psycopg2-binary", "acryl-pyhive[hive]>=0.6.12", "pymysql>=1.0.2"},
     "pulsar": {"requests"},
-    "redash": {"redash-toolbelt", "sql-metadata", "sqllineage==1.3.5"},
+    "redash": {"redash-toolbelt", "sql-metadata", "sqllineage==1.3.6"},
     "redshift": sql_common | redshift_common,
     "redshift-usage": sql_common | usage_common | redshift_common,
     "s3": {*s3_base, *data_lake_profiling},

metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery.py

@@ -571,9 +571,10 @@ def _process_view(
         view.columns = self.get_columns_for_table(conn, table_identifier)
 
         lineage_info: Optional[Tuple[UpstreamLineage, Dict[str, str]]] = None
-        lineage_info = self.lineage_extractor.get_upstream_lineage_info(
-            table_identifier, self.platform
-        )
+        if self.config.include_table_lineage:
+            lineage_info = self.lineage_extractor.get_upstream_lineage_info(
+                table_identifier, self.platform
+            )
 
         view_workunits = self.gen_view_dataset_workunits(
             view, project_id, dataset_name, lineage_info

metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_report.py

@@ -15,7 +15,7 @@ class BigQueryV2Report(SQLSourceReport):
     num_total_lineage_entries: Optional[int] = None
     num_skipped_lineage_entries_missing_data: Optional[int] = None
     num_skipped_lineage_entries_not_allowed: Optional[int] = None
-    num_skipped_lineage_entries_sql_parser_failure: Optional[int] = None
+    num_lineage_entries_sql_parser_failure: Optional[int] = None
     num_skipped_lineage_entries_other: Optional[int] = None
     num_total_log_entries: Optional[int] = None
     num_parsed_log_entires: Optional[int] = None

metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/lineage.py

@@ -362,7 +362,7 @@ def _create_lineage_map(self, entries: Iterable[QueryEvent]) -> Dict[str, Set[st
         self.report.num_skipped_lineage_entries_missing_data = 0
         self.report.num_skipped_lineage_entries_not_allowed = 0
         self.report.num_skipped_lineage_entries_other = 0
-        self.report.num_skipped_lineage_entries_sql_parser_failure = 0
+        self.report.num_lineage_entries_sql_parser_failure = 0
         for e in entries:
             self.report.num_total_lineage_entries += 1
             if e.destinationTable is None or not (
@@ -400,10 +400,10 @@ def _create_lineage_map(self, entries: Iterable[QueryEvent]) -> Dict[str, Set[st
                         map(lambda x: x.split(".")[-1], parser.get_tables())
                     )
                 except Exception as ex:
-                    logger.warning(
-                        f"Sql Parser failed on query: {e.query}. It will be skipped from lineage. The error was {ex}"
+                    logger.debug(
+                        f"Sql Parser failed on query: {e.query}. It won't cause any issue except table/view lineage can't be detected reliably. The error was {ex}."
                     )
-                    self.report.num_skipped_lineage_entries_sql_parser_failure += 1
+                    self.report.num_lineage_entries_sql_parser_failure += 1
                     continue
                 curr_lineage_str = lineage_map[destination_table_str]
                 new_lineage_str = set()

metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/profiler.py

@@ -13,7 +13,10 @@
 from datahub.ingestion.source.bigquery_v2.bigquery_audit import BigqueryTableIdentifier
 from datahub.ingestion.source.bigquery_v2.bigquery_config import BigQueryV2Config
 from datahub.ingestion.source.bigquery_v2.bigquery_report import BigQueryV2Report
-from datahub.ingestion.source.bigquery_v2.bigquery_schema import BigqueryTable
+from datahub.ingestion.source.bigquery_v2.bigquery_schema import (
+    BigqueryColumn,
+    BigqueryTable,
+)
 from datahub.ingestion.source.ge_data_profiler import (
     DatahubGEProfiler,
     GEProfilerRequest,
@@ -78,39 +81,57 @@ def generate_partition_profiler_query(
         partition = table.max_partition_id
         if partition:
             partition_where_clause: str
-            logger.debug(f"{table} is partitioned and partition column is {partition}")
-            try:
-                (
-                    partition_datetime,
-                    upper_bound_partition_datetime,
-                ) = self.get_partition_range_from_partition_id(
-                    partition, partition_datetime
-                )
-            except ValueError as e:
-                logger.error(
-                    f"Unable to get partition range for partition id: {partition} it failed with exception {e}"
-                )
-                self.report.invalid_partition_ids[f"{schema}.{table}"] = partition
-                return None, None
-
-            if table.time_partitioning.type_ in ("DAY", "MONTH", "YEAR"):
-                partition_where_clause = "{column_name} BETWEEN DATE('{partition_id}') AND DATE('{upper_bound_partition_id}')".format(
-                    column_name=table.time_partitioning.field,
-                    partition_id=partition_datetime,
-                    upper_bound_partition_id=upper_bound_partition_datetime,
-                )
-            elif table.time_partitioning.type_ in ("HOUR"):
-                partition_where_clause = "{column_name} BETWEEN '{partition_id}' AND '{upper_bound_partition_id}'".format(
-                    column_name=table.time_partitioning.field,
-                    partition_id=partition_datetime,
-                    upper_bound_partition_id=upper_bound_partition_datetime,
-                )
+
+            if not table.time_partitioning:
+                partition_column: Optional[BigqueryColumn] = None
+                for column in table.columns:
+                    if column.is_partition_column:
+                        partition_column = column
+                        break
+                if partition_column:
+                    partition_where_clause = f"{partition_column.name} >= {partition}"
+                else:
+                    logger.warning(
+                        f"Partitioned table {table.name} without partiton column"
+                    )
+                    return None, None
             else:
-                logger.warning(
-                    f"Not supported partition type {table.time_partitioning.type_}"
+                logger.debug(
+                    f"{table.name} is partitioned and partition column is {partition}"
                 )
-                return None, None
-
+                try:
+                    (
+                        partition_datetime,
+                        upper_bound_partition_datetime,
+                    ) = self.get_partition_range_from_partition_id(
+                        partition, partition_datetime
+                    )
+                except ValueError as e:
+                    logger.error(
+                        f"Unable to get partition range for partition id: {partition} it failed with exception {e}"
+                    )
+                    self.report.invalid_partition_ids[
+                        f"{schema}.{table.name}"
+                    ] = partition
+                    return None, None
+
+                if table.time_partitioning.type_ in ("DAY", "MONTH", "YEAR"):
+                    partition_where_clause = "{column_name} BETWEEN DATE('{partition_id}') AND DATE('{upper_bound_partition_id}')".format(
+                        column_name=table.time_partitioning.field,
+                        partition_id=partition_datetime,
+                        upper_bound_partition_id=upper_bound_partition_datetime,
+                    )
+                elif table.time_partitioning.type_ in ("HOUR"):
+                    partition_where_clause = "{column_name} BETWEEN '{partition_id}' AND '{upper_bound_partition_id}'".format(
+                        column_name=table.time_partitioning.field,
+                        partition_id=partition_datetime,
+                        upper_bound_partition_id=upper_bound_partition_datetime,
+                    )
+                else:
+                    logger.warning(
+                        f"Not supported partition type {table.time_partitioning.type_}"
+                    )
+                    return None, None
             custom_sql = """
 SELECT
     *

metadata-ingestion/src/datahub/ingestion/source/looker/lookml_source.py

@@ -546,10 +546,25 @@ def _import_sql_parser_cls(cls, sql_parser_path: str) -> Type[SQLParser]:
     def _get_sql_info(cls, sql: str, sql_parser_path: str) -> SQLInfo:
         parser_cls = cls._import_sql_parser_cls(sql_parser_path)
 
-        parser_instance: SQLParser = parser_cls(sql)
+        try:
+            parser_instance: SQLParser = parser_cls(sql)
+        except Exception as e:
+            logger.warning(f"Sql parser failed on {sql} with {e}")
+            return SQLInfo(table_names=[], column_names=[])
+
+        sql_table_names: List[str]
+        try:
+            sql_table_names = parser_instance.get_tables()
+        except Exception as e:
+            logger.warning(f"Sql parser failed on {sql} with {e}")
+            sql_table_names = []
+
+        try:
+            column_names: List[str] = parser_instance.get_columns()
+        except Exception as e:
+            logger.warning(f"Sql parser failed on {sql} with {e}")
+            column_names = []
 
-        sql_table_names: List[str] = parser_instance.get_tables()
-        column_names: List[str] = parser_instance.get_columns()
         logger.debug(f"Column names parsed = {column_names}")
         # Drop table names with # in them
         sql_table_names = [t for t in sql_table_names if "#" not in t]

metadata-ingestion/src/datahub/ingestion/source/redash.py

@@ -390,7 +390,11 @@ def _import_sql_parser_cls(cls, sql_parser_path: str) -> Type[SQLParser]:
     def _get_sql_table_names(cls, sql: str, sql_parser_path: str) -> List[str]:
         parser_cls = cls._import_sql_parser_cls(sql_parser_path)
 
-        sql_table_names: List[str] = parser_cls(sql).get_tables()
+        try:
+            sql_table_names: List[str] = parser_cls(sql).get_tables()
+        except Exception as e:
+            logger.warning(f"Sql parser failed on {sql} with {e}")
+            return []
 
         # Remove quotes from table names
         sql_table_names = [t.replace('"', "") for t in sql_table_names]

metadata-ingestion/src/datahub/integrations/great_expectations/action.py

@@ -642,7 +642,12 @@ def get_dataset_partitions(self, batch_identifier, data_asset):
                     query=query,
                     customProperties=batchSpecProperties,
                 )
-                tables = DefaultSQLParser(query).get_tables()
+                try:
+                    tables = DefaultSQLParser(query).get_tables()
+                except Exception as e:
+                    logger.warning(f"Sql parser failed on {query} with {e}")
+                    tables = []
+
                 if len(set(tables)) != 1:
                     warn(
                         "DataHubValidationAction does not support cross dataset assertions."

metadata-ingestion/src/datahub/utilities/sql_lineage_parser_impl.py

@@ -8,6 +8,8 @@
 from sqllineage.core.holders import Column, SQLLineageHolder
 from sqllineage.exceptions import SQLLineageException
 
+from datahub.utilities.sql_parser_base import SQLParser, SqlParserException
+
 with contextlib.suppress(ImportError):
     import sqlparse
     from networkx import DiGraph
@@ -17,7 +19,7 @@
 logger = logging.getLogger(__name__)
 
 
-class SqlLineageSQLParserImpl:
+class SqlLineageSQLParserImpl(SQLParser):
     _DATE_SWAP_TOKEN = "__d_a_t_e"
     _HOUR_SWAP_TOKEN = "__h_o_u_r"
     _TIMESTAMP_SWAP_TOKEN = "__t_i_m_e_s_t_a_m_p"
@@ -27,6 +29,7 @@ class SqlLineageSQLParserImpl:
     _MYVIEW_LOOKER_TOKEN = "my_view.SQL_TABLE_NAME"
 
     def __init__(self, sql_query: str) -> None:
+        super().__init__(sql_query)
         original_sql_query = sql_query
 
         # SqlLineageParser makes mistakes on lateral flatten queries, use the prefix
@@ -97,7 +100,9 @@ def __init__(self, sql_query: str) -> None:
                     ]
                     self._sql_holder = SQLLineageHolder.of(*self._stmt_holders)
         except SQLLineageException as e:
-            logger.error(f"SQL lineage analyzer error '{e}' for query: '{self._sql}")
+            raise SqlParserException(
+                f"SQL lineage analyzer error '{e}' for query: '{self._sql}"
+            ) from e
 
     def get_tables(self) -> List[str]:
         result: List[str] = []
@@ -123,8 +128,7 @@ def get_tables(self) -> List[str]:
 
     def get_columns(self) -> List[str]:
         if self._sql_holder is None:
-            logger.error("sql holder not present so cannot get columns")
-            return []
+            raise SqlParserException("sql holder not present so cannot get columns")
         graph: DiGraph = self._sql_holder.graph  # For mypy attribute checking
         column_nodes = [n for n in graph.nodes if isinstance(n, Column)]
         column_graph = graph.subgraph(column_nodes)

metadata-ingestion/src/datahub/utilities/sql_parser.py

@@ -4,30 +4,17 @@
 import re
 import sys
 import traceback
-from abc import ABCMeta, abstractmethod
 from multiprocessing import Process, Queue
 from typing import List, Optional, Tuple, Type
 
 from datahub.utilities.sql_lineage_parser_impl import SqlLineageSQLParserImpl
+from datahub.utilities.sql_parser_base import SQLParser
 
 with contextlib.suppress(ImportError):
     from sql_metadata import Parser as MetadataSQLParser
 logger = logging.getLogger(__name__)
 
 
-class SQLParser(metaclass=ABCMeta):
-    def __init__(self, sql_query: str) -> None:
-        self._sql_query = sql_query
-
-    @abstractmethod
-    def get_tables(self) -> List[str]:
-        pass
-
-    @abstractmethod
-    def get_columns(self) -> List[str]:
-        pass
-
-
 class MetadataSQLSQLParser(SQLParser):
     _DATE_SWAP_TOKEN = "__d_a_t_e"
 
@@ -104,7 +91,7 @@ def sql_lineage_parser_impl_func_wrapper(
         exc_info = sys.exc_info()
         exc_msg: str = str(exc_info[1]) + "".join(traceback.format_tb(exc_info[2]))
         exception_details = (exc_info[0], exc_msg)
-        logger.error(exc_msg)
+        logger.debug(exc_msg)
     finally:
         queue.put((tables, columns, exception_details))
 

metadata-ingestion/src/datahub/utilities/sql_parser_base.py

@@ -0,0 +1,21 @@
+from abc import ABCMeta, abstractmethod
+from typing import List
+
+
+class SqlParserException(Exception):
+    """Raised when sql parser fails"""
+
+    pass
+
+
+class SQLParser(metaclass=ABCMeta):
+    def __init__(self, sql_query: str) -> None:
+        self._sql_query = sql_query
+
+    @abstractmethod
+    def get_tables(self) -> List[str]:
+        pass
+
+    @abstractmethod
+    def get_columns(self) -> List[str]:
+        pass