Minor: Fix Databricks & Unity Catalog, Table or View Not found (#23014)

(cherry picked from commit 29bf750bde252c5a30eec4c7966217de5ab02274)
This commit is contained in:
Ayush Shah 2025-08-29 07:46:23 +05:30 committed by OpenMetadata Release Bot
parent 0808d37efa
commit dd7682a3b5
7 changed files with 57 additions and 44 deletions

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@ -85,10 +85,28 @@ class DatabricksProfilerInterface(SQAProfilerInterface):
result += "`.`".join(splitted_result)
return result
def visit_table(self, *args, **kwargs):
result = super( # pylint: disable=bad-super-call
HiveCompiler, self
).visit_table(*args, **kwargs)
# Handle table references with hyphens in database/schema names
# Format: `database`.`schema`.`table` for Unity Catalog/Databricks
if "." in result and not result.startswith("`"):
parts = result.split(".")
quoted_parts = []
for part in parts:
if "-" in part and not (part.startswith("`") and part.endswith("`")):
quoted_parts.append(f"`{part}`")
else:
quoted_parts.append(part)
result = ".".join(quoted_parts)
return result
def __init__(self, service_connection_config, **kwargs):
super().__init__(service_connection_config=service_connection_config, **kwargs)
self.set_catalog(self.session)
HiveCompiler.visit_column = DatabricksProfilerInterface.visit_column
HiveCompiler.visit_table = DatabricksProfilerInterface.visit_table
def _get_struct_columns(self, columns: List[OMColumn], parent: str):
"""Get struct columns"""

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@ -14,6 +14,8 @@ Interfaces with database for all database engine
supporting sqlalchemy abstraction layer
"""
from sqlalchemy import event
from sqlalchemy.orm import scoped_session, sessionmaker
from metadata.ingestion.source.database.databricks.connection import (
get_connection as databricks_get_connection,
@ -26,5 +28,17 @@ from metadata.profiler.interface.sqlalchemy.databricks.profiler_interface import
class UnityCatalogProfilerInterface(DatabricksProfilerInterface):
def create_session(self):
self.connection = databricks_get_connection(self.service_connection_config)
super().create_session()
self.set_catalog(self.session)
# Create custom session factory with after_begin event to set catalog
session_maker = sessionmaker(bind=self.connection)
@event.listens_for(session_maker, "after_begin")
def set_catalog(session, transaction, connection):
# Safely quote the catalog name to prevent SQL injection
quoted_catalog = connection.dialect.identifier_preparer.quote(
self.service_connection_config.catalog
)
connection.execute(f"USE CATALOG {quoted_catalog};")
self.session_factory = scoped_session(session_maker)
self.session = self.session_factory()

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@ -24,7 +24,7 @@ SYSTEM_QUERY = textwrap.dedent(
'{database}' AS database,
'{schema}' AS schema,
'{table}' AS table
FROM (DESCRIBE HISTORY {database}.{schema}.{table})
FROM (DESCRIBE HISTORY `{database}`.`{schema}`.`{table}`)
WHERE operation IN ({operations}) AND timestamp > DATEADD(day, -1, CURRENT_TIMESTAMP())
"""
)

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@ -11,7 +11,8 @@
"""
Helper module to handle data sampling for the profiler
"""
from sqlalchemy import Column, text
from sqlalchemy import Column, event, text
from sqlalchemy.orm import scoped_session, sessionmaker
from metadata.ingestion.source.database.databricks.connection import (
get_connection as databricks_get_connection,
@ -25,6 +26,17 @@ class DatabricksSamplerInterface(SQASampler):
"""Initialize with a single Databricks connection"""
super().__init__(*args, **kwargs)
self.connection = databricks_get_connection(self.service_connection_config)
session_maker = sessionmaker(bind=self.connection)
@event.listens_for(session_maker, "after_begin")
def set_catalog(session, transaction, connection):
# Safely quote the catalog name to prevent SQL injection
quoted_catalog = connection.dialect.identifier_preparer.quote(
self.service_connection_config.catalog
)
connection.execute(f"USE CATALOG {quoted_catalog};")
self.session_factory = scoped_session(session_maker)
def get_client(self):
"""client is the session for SQA"""

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@ -14,47 +14,14 @@ Interfaces with database for all database engine
supporting sqlalchemy abstraction layer
"""
from sqlalchemy import Column, text
from metadata.ingestion.source.database.databricks.connection import (
get_connection as databricks_get_connection,
)
from metadata.profiler.orm.types.custom_array import CustomArray
from metadata.sampler.sqlalchemy.sampler import SQASampler
from metadata.sampler.sqlalchemy.databricks.sampler import DatabricksSamplerInterface
class UnityCatalogSamplerInterface(SQASampler):
class UnityCatalogSamplerInterface(DatabricksSamplerInterface):
"""
Unity Catalog Sampler Interface
"""
def __init__(self, *args, **kwargs):
"""Initialize with a single Databricks connection"""
super().__init__(*args, **kwargs)
self.connection = databricks_get_connection(self.service_connection_config)
def get_client(self):
"""client is the session for SQA"""
client = super().get_client()
self.set_catalog(client)
return client
def _handle_array_column(self, column: Column) -> bool:
"""Check if a column is an array type"""
return isinstance(column.type, CustomArray)
def _get_slice_expression(self, column: Column):
"""Generate SQL expression to slice array elements at query level
Args:
column_name: Name of the column
max_elements: Maximum number of elements to extract
Returns:
SQL expression string for array slicing
"""
max_elements = self._get_max_array_elements()
return text(
f"""
CASE
WHEN `{column.name}` IS NULL THEN NULL
ELSE slice(`{column.name}`, 1, {max_elements})
END AS `{column._label}`
"""
)

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@ -212,6 +212,8 @@ def get_log_name(record: Entity) -> Optional[str]:
try:
if hasattr(record, "name"):
return f"{type(record).__name__} [{getattr(record, 'name').root}]"
if hasattr(record, "table") and hasattr(record.table, "name"):
return f"{type(record).__name__} [{record.table.name.root}]"
return f"{type(record).__name__} [{record.entity.name.root}]"
except Exception:
return str(record)

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@ -73,7 +73,7 @@ class UnityCatalogSamplerTest(TestCase):
)
@patch(
"metadata.sampler.sqlalchemy.unitycatalog.sampler.SQASampler.build_table_orm"
"metadata.sampler.sqlalchemy.unitycatalog.sampler.UnityCatalogSamplerInterface.build_table_orm"
)
def test_handle_array_column(self, mock_build_table_orm):
"""Test array column detection"""