mirror of
https://github.com/open-metadata/OpenMetadata.git
synced 2025-08-30 03:46:10 +00:00
Pere Miquel Brull
GitHub
parent
b90d0e6365
commit
1492f79da1
@ -1,76 +0,0 @@
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# Copyright 2021 Collate
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Source connection handler
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"""
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from typing import Optional
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from sqlalchemy.engine import Engine
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from metadata.generated.schema.entity.automations.workflow import (
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Workflow as AutomationWorkflow,
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)
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from metadata.generated.schema.entity.services.connections.database.duckdbConnection import (
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DuckDbConnection,
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SslMode,
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)
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from metadata.ingestion.connections.builders import (
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create_generic_db_connection,
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get_connection_args_common,
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get_connection_url_common,
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init_empty_connection_arguments,
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)
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from metadata.ingestion.connections.test_connections import test_connection_db_common
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from metadata.ingestion.ometa.ometa_api import OpenMetadata
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from metadata.ingestion.source.database.duckdb.queries import DUCKDB_GET_DATABASE
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def get_connection(connection: DuckDbConnection) -> Engine:
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"""
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Create connection
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"""
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if connection.sslMode:
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if not connection.connectionArguments:
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connection.connectionArguments = init_empty_connection_arguments()
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connection.connectionArguments.__root__["sslmode"] = connection.sslMode.value
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if connection.sslMode in (SslMode.verify_ca, SslMode.verify_full):
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connection.connectionArguments.__root__[
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"sslrootcert"
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] = connection.sslConfig.__root__.certificatePath
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return create_generic_db_connection(
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connection=connection,
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get_connection_url_fn=get_connection_url_common,
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get_connection_args_fn=get_connection_args_common,
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)
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def test_connection(
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metadata: OpenMetadata,
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engine: Engine,
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service_connection: DuckDbConnection,
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automation_workflow: Optional[AutomationWorkflow] = None,
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) -> None:
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"""
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Test connection. This can be executed either as part
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of a metadata workflow or during an Automation Workflow
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"""
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queries = {
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"GetDatabases": DUCKDB_GET_DATABASE,
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}
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test_connection_db_common(
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metadata=metadata,
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engine=engine,
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service_connection=service_connection,
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automation_workflow=automation_workflow,
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queries=queries,
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)
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@ -1,204 +0,0 @@
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# Copyright 2021 Collate
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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DuckDb source module
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"""
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import traceback
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from collections import namedtuple
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from typing import Iterable, Optional, Tuple
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from sqlalchemy import sql
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from sqlalchemy.dialects.postgresql.base import PGDialect, ischema_names
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from sqlalchemy.engine.reflection import Inspector
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from metadata.generated.schema.entity.data.database import Database
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from metadata.generated.schema.entity.data.table import (
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IntervalType,
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TablePartition,
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TableType,
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)
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from metadata.generated.schema.entity.services.connections.database.duckdbConnection import (
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DuckDbConnection,
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)
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from metadata.generated.schema.entity.services.connections.metadata.openMetadataConnection import (
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OpenMetadataConnection,
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)
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from metadata.generated.schema.metadataIngestion.workflow import (
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Source as WorkflowSource,
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)
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from metadata.ingestion.api.steps import InvalidSourceException
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from metadata.ingestion.source.database.column_type_parser import create_sqlalchemy_type
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from metadata.ingestion.source.database.common_db_source import (
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CommonDbSourceService,
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TableNameAndType,
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)
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from metadata.ingestion.source.database.duckdb.queries import (
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DUCKDB_GET_DB_NAMES,
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DUCKDB_GET_TABLE_NAMES,
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DUCKDB_PARTITION_DETAILS,
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)
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from metadata.ingestion.source.database.duckdb.utils import (
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get_column_info,
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get_columns,
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get_table_comment,
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get_view_definition,
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)
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from metadata.ingestion.source.database.multi_db_source import MultiDBSource
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from metadata.utils import fqn
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from metadata.utils.filters import filter_by_database
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from metadata.utils.logger import ingestion_logger
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from metadata.utils.sqlalchemy_utils import (
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get_all_table_comments,
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get_all_view_definitions,
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)
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TableKey = namedtuple("TableKey", ["schema", "table_name"])
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logger = ingestion_logger()
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INTERVAL_TYPE_MAP = {
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"list": IntervalType.COLUMN_VALUE.value,
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"hash": IntervalType.COLUMN_VALUE.value,
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"range": IntervalType.TIME_UNIT.value,
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}
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RELKIND_MAP = {
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"r": TableType.Regular,
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"p": TableType.Partitioned,
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"f": TableType.Foreign,
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}
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GEOMETRY = create_sqlalchemy_type("GEOMETRY")
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POINT = create_sqlalchemy_type("POINT")
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POLYGON = create_sqlalchemy_type("POLYGON")
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ischema_names.update(
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{
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"geometry": GEOMETRY,
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"point": POINT,
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"polygon": POLYGON,
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"box": create_sqlalchemy_type("BOX"),
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"circle": create_sqlalchemy_type("CIRCLE"),
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"line": create_sqlalchemy_type("LINE"),
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"lseg": create_sqlalchemy_type("LSEG"),
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"path": create_sqlalchemy_type("PATH"),
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"pg_lsn": create_sqlalchemy_type("PG_LSN"),
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"pg_snapshot": create_sqlalchemy_type("PG_SNAPSHOT"),
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"tsquery": create_sqlalchemy_type("TSQUERY"),
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"txid_snapshot": create_sqlalchemy_type("TXID_SNAPSHOT"),
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"xml": create_sqlalchemy_type("XML"),
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}
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)
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PGDialect.get_all_table_comments = get_all_table_comments
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PGDialect.get_table_comment = get_table_comment
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PGDialect._get_column_info = get_column_info # pylint: disable=protected-access
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PGDialect.get_view_definition = get_view_definition
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PGDialect.get_columns = get_columns
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PGDialect.get_all_view_definitions = get_all_view_definitions
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PGDialect.ischema_names = ischema_names
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class DuckDbSource(CommonDbSourceService, MultiDBSource):
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"""
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Implements the necessary methods to extract
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Database metadata from DuckDb Source
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"""
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@classmethod
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def create(cls, config_dict, metadata: OpenMetadataConnection):
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config: WorkflowSource = WorkflowSource.parse_obj(config_dict)
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connection: DuckDbConnection = config.serviceConnection.__root__.config
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if not isinstance(connection, DuckDbConnection):
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raise InvalidSourceException(
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f"Expected DuckDbConnection, but got {connection}"
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)
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return cls(config, metadata)
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def query_table_names_and_types(
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self, schema_name: str
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) -> Iterable[TableNameAndType]:
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"""
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Overwrite the inspector implementation to handle partitioned
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and foreign types
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"""
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result = self.connection.execute(
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sql.text(DUCKDB_GET_TABLE_NAMES),
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{"schema": schema_name},
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)
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return [
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TableNameAndType(
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name=name, type_=RELKIND_MAP.get(relkind, TableType.Regular)
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)
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for name, relkind in result
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]
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def get_configured_database(self) -> Optional[str]:
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if not self.service_connection.ingestAllDatabases:
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return self.service_connection.database
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return None
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def get_database_names_raw(self) -> Iterable[str]:
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yield from self._execute_database_query(DUCKDB_GET_DB_NAMES)
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def get_database_names(self) -> Iterable[str]:
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if not self.config.serviceConnection.__root__.config.ingestAllDatabases:
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configured_db = self.config.serviceConnection.__root__.config.database
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self.set_inspector(database_name=configured_db)
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yield configured_db
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else:
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for new_database in self.get_database_names_raw():
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database_fqn = fqn.build(
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self.metadata,
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entity_type=Database,
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service_name=self.context.database_service,
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database_name=new_database,
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)
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if filter_by_database(
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self.source_config.databaseFilterPattern,
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database_fqn
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if self.source_config.useFqnForFiltering
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else new_database,
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):
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self.status.filter(database_fqn, "Database Filtered Out")
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continue
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try:
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self.set_inspector(database_name=new_database)
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yield new_database
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except Exception as exc:
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logger.debug(traceback.format_exc())
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logger.error(
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f"Error trying to connect to database {new_database}: {exc}"
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)
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def get_table_partition_details(
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self, table_name: str, schema_name: str, inspector: Inspector
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) -> Tuple[bool, TablePartition]:
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result = self.engine.execute(
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DUCKDB_PARTITION_DETAILS.format(
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table_name=table_name, schema_name=schema_name
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)
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).all()
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if result:
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partition_details = TablePartition(
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intervalType=INTERVAL_TYPE_MAP.get(
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result[0].partition_strategy, IntervalType.COLUMN_VALUE.value
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),
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columns=[row.column_name for row in result if row.column_name],
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)
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return True, partition_details
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return False, None
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@ -1,141 +0,0 @@
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# Copyright 2021 Collate
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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SQL Queries used during ingestion
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"""
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import textwrap
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# https://www.postgresql.org/docs/current/catalog-pg-class.html
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# r = ordinary table, v = view, m = materialized view, c = composite type, f = foreign table, p = partitioned table,
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DUCKDB_GET_TABLE_NAMES = """
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select c.relname, c.relkind
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from pg_catalog.pg_class c
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left outer join pg_catalog.pg_partition_rule pr on c.oid = pr.parchildrelid
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JOIN pg_namespace n ON n.oid = c.relnamespace
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where c.relkind in ('r', 'p', 'f')
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and pr.oid is null
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and n.nspname = :schema
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"""
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DUCKDB_PARTITION_DETAILS = textwrap.dedent(
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"""
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select
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ns.nspname as schema,
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par.relname as table_name,
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partition_strategy,
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col.column_name
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from
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(select
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parrelid,
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parnatts,
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case parkind
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when 'l' then 'list'
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when 'h' then 'hash'
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when 'r' then 'range' end as partition_strategy,
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unnest(paratts) column_index
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from
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pg_catalog.pg_partition) pt
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join
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pg_class par
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on
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par.oid = pt.parrelid
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left join
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pg_catalog.pg_namespace ns on par.relnamespace = ns.oid
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left join
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information_schema.columns col
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on
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col.table_schema = ns.nspname
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and col.table_name = par.relname
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and ordinal_position = pt.column_index
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where par.relname='{table_name}' and ns.nspname='{schema_name}'
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"""
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)
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DUCKDB_TABLE_COMMENTS = """
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SELECT n.nspname as schema,
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c.relname as table_name,
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pgd.description as table_comment
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FROM pg_catalog.pg_class c
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LEFT JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace
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LEFT JOIN pg_catalog.pg_description pgd ON pgd.objsubid = 0 AND pgd.objoid = c.oid
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WHERE c.relkind in ('r', 'v', 'm', 'f', 'p')
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AND pgd.description IS NOT NULL
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AND n.nspname <> 'pg_catalog'
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ORDER BY "schema", "table_name"
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"""
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# Postgres\DuckDb views definitions only contains the select query
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# hence we are appending "create view <schema>.<table> as " to select query
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# to generate the column level lineage
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DUCKDB_VIEW_DEFINITIONS = """
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SELECT
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n.nspname "schema",
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c.relname view_name,
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'create view ' || n.nspname || '.' || c.relname || ' as ' || pg_get_viewdef(c.oid,true) view_def
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FROM pg_class c
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JOIN pg_namespace n ON n.oid = c.relnamespace
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WHERE c.relkind IN ('v', 'm')
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AND n.nspname not in ('pg_catalog','information_schema')
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"""
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DUCKDB_GET_DATABASE = """
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select datname from pg_catalog.pg_database
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"""
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DUCKDB_GET_DB_NAMES = """
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select datname from pg_catalog.pg_database
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"""
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DUCKDB_COL_IDENTITY = """\
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(SELECT json_build_object(
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'always', a.attidentity = 'a',
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'start', s.seqstart,
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'increment', s.seqincrement,
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'minvalue', s.seqmin,
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'maxvalue', s.seqmax,
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'cache', s.seqcache,
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'cycle', s.seqcycle)
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FROM pg_catalog.pg_sequence s
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JOIN pg_catalog.pg_class c on s.seqrelid = c."oid"
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WHERE c.relkind = 'S'
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AND a.attidentity != ''
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AND s.seqrelid = pg_catalog.pg_get_serial_sequence(
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a.attrelid::regclass::text, a.attname
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)::regclass::oid
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) as identity_options\
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"""
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DUCKDB_SQL_COLUMNS = """
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SELECT a.attname,
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pg_catalog.format_type(a.atttypid, a.atttypmod),
|
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(
|
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SELECT pg_catalog.pg_get_expr(d.adbin, d.adrelid)
|
||||
FROM pg_catalog.pg_attrdef d
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WHERE d.adrelid = a.attrelid AND d.adnum = a.attnum
|
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AND a.atthasdef
|
||||
) AS DEFAULT,
|
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a.attnotnull,
|
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a.attrelid as table_oid,
|
||||
pgd.description as comment,
|
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{generated},
|
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{identity}
|
||||
FROM pg_catalog.pg_attribute a
|
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LEFT JOIN pg_catalog.pg_description pgd ON (
|
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pgd.objoid = a.attrelid AND pgd.objsubid = a.attnum)
|
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WHERE a.attrelid = :table_oid
|
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AND a.attnum > 0 AND NOT a.attisdropped
|
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ORDER BY a.attnum
|
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"""
|
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DUCKDB_GET_SERVER_VERSION = """
|
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show server_version
|
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"""
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@ -1,349 +0,0 @@
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# Copyright 2021 Collate
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
# pylint: disable=protected-access
|
||||
|
||||
"""
|
||||
DuckDb SQLAlchemy util methods
|
||||
"""
|
||||
import re
|
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from typing import Dict, Tuple
|
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|
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from sqlalchemy import sql, util
|
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from sqlalchemy.dialects.postgresql.base import ENUM
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from sqlalchemy.engine import reflection
|
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from sqlalchemy.sql import sqltypes
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|
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from metadata.ingestion.source.database.duckdb.queries import (
|
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DUCKDB_COL_IDENTITY,
|
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DUCKDB_SQL_COLUMNS,
|
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DUCKDB_TABLE_COMMENTS,
|
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DUCKDB_VIEW_DEFINITIONS,
|
||||
)
|
||||
from metadata.utils.sqlalchemy_utils import (
|
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get_table_comment_wrapper,
|
||||
get_view_definition_wrapper,
|
||||
)
|
||||
|
||||
|
||||
@reflection.cache
|
||||
def get_table_comment(
|
||||
self, connection, table_name, schema=None, **kw
|
||||
): # pylint: disable=unused-argument
|
||||
return get_table_comment_wrapper(
|
||||
self,
|
||||
connection,
|
||||
table_name=table_name,
|
||||
schema=schema,
|
||||
query=DUCKDB_TABLE_COMMENTS,
|
||||
)
|
||||
|
||||
|
||||
@reflection.cache
|
||||
def get_columns( # pylint: disable=too-many-locals
|
||||
self, connection, table_name, schema=None, **kw
|
||||
):
|
||||
"""
|
||||
Overriding the dialect method to add raw_data_type in response
|
||||
"""
|
||||
|
||||
table_oid = self.get_table_oid(
|
||||
connection, table_name, schema, info_cache=kw.get("info_cache")
|
||||
)
|
||||
|
||||
generated = (
|
||||
"a.attgenerated as generated"
|
||||
if self.server_version_info >= (12,)
|
||||
else "NULL as generated"
|
||||
)
|
||||
if self.server_version_info >= (10,):
|
||||
# a.attidentity != '' is required or it will reflect also
|
||||
# serial columns as identity.
|
||||
identity = DUCKDB_COL_IDENTITY
|
||||
else:
|
||||
identity = "NULL as identity_options"
|
||||
|
||||
sql_col_query = DUCKDB_SQL_COLUMNS.format(
|
||||
generated=generated,
|
||||
identity=identity,
|
||||
)
|
||||
sql_col_query = (
|
||||
sql.text(sql_col_query)
|
||||
.bindparams(sql.bindparam("table_oid", type_=sqltypes.Integer))
|
||||
.columns(attname=sqltypes.Unicode, default=sqltypes.Unicode)
|
||||
)
|
||||
conn = connection.execute(sql_col_query, {"table_oid": table_oid})
|
||||
rows = conn.fetchall()
|
||||
|
||||
# dictionary with (name, ) if default search path or (schema, name)
|
||||
# as keys
|
||||
domains = self._load_domains(connection)
|
||||
|
||||
# dictionary with (name, ) if default search path or (schema, name)
|
||||
# as keys
|
||||
enums = dict(
|
||||
((rec["name"],), rec) if rec["visible"] else ((rec["schema"], rec["name"]), rec)
|
||||
for rec in self._load_enums(connection, schema="*")
|
||||
)
|
||||
|
||||
# format columns
|
||||
columns = []
|
||||
|
||||
for (
|
||||
name,
|
||||
format_type,
|
||||
default_,
|
||||
notnull,
|
||||
table_oid,
|
||||
comment,
|
||||
generated,
|
||||
identity,
|
||||
) in rows:
|
||||
column_info = self._get_column_info(
|
||||
name,
|
||||
format_type,
|
||||
default_,
|
||||
notnull,
|
||||
domains,
|
||||
enums,
|
||||
schema,
|
||||
comment,
|
||||
generated,
|
||||
identity,
|
||||
)
|
||||
column_info["system_data_type"] = format_type
|
||||
columns.append(column_info)
|
||||
return columns
|
||||
|
||||
|
||||
def _get_numeric_args(charlen):
|
||||
if charlen:
|
||||
prec, scale = charlen.split(",")
|
||||
return (int(prec), int(scale))
|
||||
return ()
|
||||
|
||||
|
||||
def _get_interval_args(charlen, attype, kwargs: Dict):
|
||||
field_match = re.match(r"interval (.+)", attype, re.I)
|
||||
if charlen:
|
||||
kwargs["precision"] = int(charlen)
|
||||
if field_match:
|
||||
kwargs["fields"] = field_match.group(1)
|
||||
attype = "interval"
|
||||
return (), attype, kwargs
|
||||
|
||||
|
||||
def _get_bit_var_args(charlen, kwargs):
|
||||
kwargs["varying"] = True
|
||||
if charlen:
|
||||
return (int(charlen),), kwargs
|
||||
|
||||
return (), kwargs
|
||||
|
||||
|
||||
def get_column_args(
|
||||
charlen: str, args: Tuple, kwargs: Dict, attype: str
|
||||
) -> Tuple[Tuple, Dict]:
|
||||
"""
|
||||
Method to determine the args and kwargs
|
||||
"""
|
||||
if attype == "numeric":
|
||||
args = _get_numeric_args(charlen)
|
||||
elif attype == "double precision":
|
||||
args = (53,)
|
||||
elif attype == "integer":
|
||||
args = ()
|
||||
elif attype in ("timestamp with time zone", "time with time zone"):
|
||||
kwargs["timezone"] = True
|
||||
if charlen:
|
||||
kwargs["precision"] = int(charlen)
|
||||
args = ()
|
||||
elif attype in (
|
||||
"timestamp without time zone",
|
||||
"time without time zone",
|
||||
"time",
|
||||
):
|
||||
kwargs["timezone"] = False
|
||||
if charlen:
|
||||
kwargs["precision"] = int(charlen)
|
||||
args = ()
|
||||
elif attype == "bit varying":
|
||||
args, kwargs = _get_bit_var_args(charlen, kwargs)
|
||||
elif attype == "geometry":
|
||||
args = ()
|
||||
elif attype.startswith("interval"):
|
||||
args, attype, kwargs = _get_interval_args(charlen, attype, kwargs)
|
||||
elif charlen:
|
||||
args = (int(charlen),)
|
||||
|
||||
return args, kwargs, attype
|
||||
|
||||
|
||||
def get_column_default(coltype, schema, default, generated):
|
||||
"""
|
||||
Method to determine the default of column
|
||||
"""
|
||||
autoincrement = False
|
||||
# If a zero byte or blank string depending on driver (is also absent
|
||||
# for older PG versions), then not a generated column. Otherwise, s =
|
||||
# stored. (Other values might be added in the future.)
|
||||
if generated not in (None, "", b"\x00"):
|
||||
computed = {"sqltext": default, "persisted": generated in ("s", b"s")}
|
||||
default = None
|
||||
else:
|
||||
computed = None
|
||||
if default is not None:
|
||||
match = re.search(r"""(nextval\(')([^']+)('.*$)""", default)
|
||||
if match is not None:
|
||||
if issubclass(coltype._type_affinity, sqltypes.Integer):
|
||||
autoincrement = True
|
||||
# the default is related to a Sequence
|
||||
sch = schema
|
||||
if "." not in match.group(2) and sch is not None:
|
||||
# unconditionally quote the schema name. this could
|
||||
# later be enhanced to obey quoting rules /
|
||||
# "quote schema"
|
||||
default = (
|
||||
match.group(1)
|
||||
+ (f'"{sch}"')
|
||||
+ "."
|
||||
+ match.group(2)
|
||||
+ match.group(3)
|
||||
)
|
||||
return default, autoincrement, computed
|
||||
|
||||
|
||||
def _handle_array_type(attype):
|
||||
return (
|
||||
# strip '[]' from integer[], etc.
|
||||
re.sub(r"\[\]$", "", attype),
|
||||
attype.endswith("[]"),
|
||||
)
|
||||
|
||||
|
||||
# pylint: disable=too-many-statements,too-many-branches,too-many-locals,too-many-arguments
|
||||
def get_column_info(
|
||||
self,
|
||||
name,
|
||||
format_type,
|
||||
default,
|
||||
notnull,
|
||||
domains,
|
||||
enums,
|
||||
schema,
|
||||
comment,
|
||||
generated,
|
||||
identity,
|
||||
):
|
||||
"""
|
||||
Method to return column info
|
||||
"""
|
||||
|
||||
if format_type is None:
|
||||
no_format_type = True
|
||||
attype = format_type = "no format_type()"
|
||||
is_array = False
|
||||
else:
|
||||
no_format_type = False
|
||||
|
||||
# strip (*) from character varying(5), timestamp(5)
|
||||
# with time zone, geometry(POLYGON), etc.
|
||||
attype = re.sub(r"\(.*\)", "", format_type)
|
||||
|
||||
# strip '[]' from integer[], etc. and check if an array
|
||||
attype, is_array = _handle_array_type(attype)
|
||||
|
||||
# strip quotes from case sensitive enum or domain names
|
||||
enum_or_domain_key = tuple(util.quoted_token_parser(attype))
|
||||
|
||||
nullable = not notnull
|
||||
|
||||
charlen = re.search(r"\(([\d,]+)\)", format_type)
|
||||
if charlen:
|
||||
charlen = charlen.group(1)
|
||||
args = re.search(r"\((.*)\)", format_type)
|
||||
if args and args.group(1):
|
||||
args = tuple(re.split(r"\s*,\s*", args.group(1)))
|
||||
else:
|
||||
args = ()
|
||||
kwargs = {}
|
||||
|
||||
args, kwargs, attype = get_column_args(charlen, args, kwargs, attype)
|
||||
|
||||
while True:
|
||||
# looping here to suit nested domains
|
||||
if attype in self.ischema_names:
|
||||
coltype = self.ischema_names[attype]
|
||||
break
|
||||
if enum_or_domain_key in enums:
|
||||
enum = enums[enum_or_domain_key]
|
||||
coltype = ENUM
|
||||
kwargs["name"] = enum["name"]
|
||||
if not enum["visible"]:
|
||||
kwargs["schema"] = enum["schema"]
|
||||
args = tuple(enum["labels"])
|
||||
break
|
||||
if enum_or_domain_key in domains:
|
||||
domain = domains[enum_or_domain_key]
|
||||
attype = domain["attype"]
|
||||
attype, is_array = _handle_array_type(attype)
|
||||
# strip quotes from case sensitive enum or domain names
|
||||
enum_or_domain_key = tuple(util.quoted_token_parser(attype))
|
||||
# A table can't override a not null on the domain,
|
||||
# but can override nullable
|
||||
nullable = nullable and domain["nullable"]
|
||||
if domain["default"] and not default:
|
||||
# It can, however, override the default
|
||||
# value, but can't set it to null.
|
||||
default = domain["default"]
|
||||
continue
|
||||
coltype = None
|
||||
break
|
||||
|
||||
if coltype:
|
||||
coltype = coltype(*args, **kwargs)
|
||||
if is_array:
|
||||
coltype = self.ischema_names["_array"](coltype)
|
||||
elif no_format_type:
|
||||
util.warn(f"PostgreSQL format_type() returned NULL for column '{name}'")
|
||||
coltype = sqltypes.NULLTYPE
|
||||
else:
|
||||
util.warn(f"Did not recognize type '{attype}' of column '{name}'")
|
||||
coltype = sqltypes.NULLTYPE
|
||||
|
||||
default, autoincrement, computed = get_column_default(
|
||||
coltype=coltype, schema=schema, default=default, generated=generated
|
||||
)
|
||||
column_info = {
|
||||
"name": name,
|
||||
"type": coltype,
|
||||
"nullable": nullable,
|
||||
"default": default,
|
||||
"autoincrement": autoincrement or identity is not None,
|
||||
"comment": comment,
|
||||
}
|
||||
if computed is not None:
|
||||
column_info["computed"] = computed
|
||||
if identity is not None:
|
||||
column_info["identity"] = identity
|
||||
return column_info
|
||||
|
||||
|
||||
@reflection.cache
|
||||
def get_view_definition(
|
||||
self, connection, table_name, schema=None, **kw
|
||||
): # pylint: disable=unused-argument
|
||||
return get_view_definition_wrapper(
|
||||
self,
|
||||
connection,
|
||||
table_name=table_name,
|
||||
schema=schema,
|
||||
query=DUCKDB_VIEW_DEFINITIONS,
|
||||
)
|
||||
@ -1,39 +0,0 @@
|
||||
{
|
||||
"name": "DuckDb",
|
||||
"displayName": "DuckDb Test Connection",
|
||||
"description": "This Test Connection validates the access against the database and basic metadata extraction of schemas and tables.",
|
||||
"steps": [
|
||||
{
|
||||
"name": "CheckAccess",
|
||||
"description": "Validate that we can properly reach the database and authenticate with the given credentials.",
|
||||
"errorMessage": "Failed to connect to DuckDb, please validate the credentials",
|
||||
"mandatory": true
|
||||
},
|
||||
{
|
||||
"name": "GetDatabases",
|
||||
"description": "List all the databases available to the user.",
|
||||
"errorMessage": "Failed to fetch databases, please validate if the user has enough privilege to fetch databases.",
|
||||
"mandatory": true
|
||||
},
|
||||
{
|
||||
"name": "GetSchemas",
|
||||
"description": "List all the schemas available to the user.",
|
||||
"errorMessage": "Failed to fetch schemas, please validate if the user has enough privilege to fetch schemas.",
|
||||
"mandatory": true
|
||||
},
|
||||
{
|
||||
"name": "GetTables",
|
||||
"description": "From a given schema, list the tables belonging to that schema. If no schema is specified, we'll list the tables of a random schema.",
|
||||
"errorMessage": "Failed to fetch tables, please validate if the user has enough privilege to fetch tables.",
|
||||
"mandatory": true
|
||||
},
|
||||
{
|
||||
"name": "GetViews",
|
||||
"description": "From a given schema, list the views belonging to that schema. If no schema is specified, we'll list the tables of a random schema.",
|
||||
"errorMessage": "Failed to fetch views, please validate if the user has enough privilege to fetch views.",
|
||||
"mandatory": false
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
|
||||
@ -1,126 +0,0 @@
|
||||
{
|
||||
"$id": "https://open-metadata.org/schema/entity/services/connections/database/greenplumConnection.json",
|
||||
"$schema": "http://json-schema.org/draft-07/schema#",
|
||||
"title": "DuckDbConnection",
|
||||
"description": "DuckDb Database Connection Config",
|
||||
"type": "object",
|
||||
"javaType": "org.openmetadata.schema.services.connections.database.DuckDbConnection",
|
||||
"definitions": {
|
||||
"greenplumType": {
|
||||
"description": "Service type.",
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"DuckDb"
|
||||
],
|
||||
"default": "DuckDb"
|
||||
},
|
||||
"greenplumScheme": {
|
||||
"description": "SQLAlchemy driver scheme options.",
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"postgresql+psycopg2"
|
||||
],
|
||||
"default": "postgresql+psycopg2"
|
||||
}
|
||||
},
|
||||
"properties": {
|
||||
"type": {
|
||||
"title": "Service Type",
|
||||
"description": "Service Type",
|
||||
"$ref": "#/definitions/greenplumType",
|
||||
"default": "DuckDb"
|
||||
},
|
||||
"scheme": {
|
||||
"title": "Connection Scheme",
|
||||
"description": "SQLAlchemy driver scheme options.",
|
||||
"$ref": "#/definitions/greenplumScheme",
|
||||
"default": "postgresql+psycopg2"
|
||||
},
|
||||
"username": {
|
||||
"title": "Username",
|
||||
"description": "Username to connect to DuckDb. This user should have privileges to read all the metadata in DuckDb.",
|
||||
"type": "string"
|
||||
},
|
||||
"authType": {
|
||||
"title": "Auth Configuration Type",
|
||||
"description": "Choose Auth Config Type.",
|
||||
"oneOf": [
|
||||
{
|
||||
"$ref": "./common/basicAuth.json"
|
||||
},
|
||||
{
|
||||
"$ref": "./common/iamAuthConfig.json"
|
||||
}
|
||||
]
|
||||
},
|
||||
"hostPort": {
|
||||
"title": "Host and Port",
|
||||
"description": "Host and port of the source service.",
|
||||
"type": "string"
|
||||
},
|
||||
"database": {
|
||||
"title": "Database",
|
||||
"description": "Database of the data source. This is optional parameter, if you would like to restrict the metadata reading to a single database. When left blank, OpenMetadata Ingestion attempts to scan all the databases.",
|
||||
"type": "string"
|
||||
},
|
||||
"sslMode": {
|
||||
"title": "SSL Mode",
|
||||
"description": "SSL Mode to connect to DuckDb database.",
|
||||
"enum": [
|
||||
"disable",
|
||||
"allow",
|
||||
"prefer",
|
||||
"require",
|
||||
"verify-ca",
|
||||
"verify-full"
|
||||
],
|
||||
"default": "disable"
|
||||
},
|
||||
"sslConfig": {
|
||||
"$ref": "../../../../security/ssl/verifySSLConfig.json#/definitions/sslConfig"
|
||||
},
|
||||
"ingestAllDatabases": {
|
||||
"title": "Ingest All Databases",
|
||||
"description": "Ingest data from all databases in DuckDb. You can use databaseFilterPattern on top of this.",
|
||||
"type": "boolean",
|
||||
"default": false
|
||||
},
|
||||
"connectionOptions": {
|
||||
"title": "Connection Options",
|
||||
"$ref": "../connectionBasicType.json#/definitions/connectionOptions"
|
||||
},
|
||||
"connectionArguments": {
|
||||
"title": "Connection Arguments",
|
||||
"$ref": "../connectionBasicType.json#/definitions/connectionArguments"
|
||||
},
|
||||
"supportsMetadataExtraction": {
|
||||
"title": "Supports Metadata Extraction",
|
||||
"$ref": "../connectionBasicType.json#/definitions/supportsMetadataExtraction"
|
||||
},
|
||||
"supportsDBTExtraction": {
|
||||
"$ref": "../connectionBasicType.json#/definitions/supportsDBTExtraction"
|
||||
},
|
||||
"supportsProfiler": {
|
||||
"title": "Supports Profiler",
|
||||
"$ref": "../connectionBasicType.json#/definitions/supportsProfiler"
|
||||
},
|
||||
"supportsDatabase": {
|
||||
"title": "Supports Database",
|
||||
"$ref": "../connectionBasicType.json#/definitions/supportsDatabase"
|
||||
},
|
||||
"supportsQueryComment": {
|
||||
"title": "Supports Query Comment",
|
||||
"$ref": "../connectionBasicType.json#/definitions/supportsQueryComment"
|
||||
},
|
||||
"sampleDataStorageConfig": {
|
||||
"title": "Storage Config for Sample Data",
|
||||
"$ref": "../connectionBasicType.json#/definitions/sampleDataStorageConfig"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false,
|
||||
"required": [
|
||||
"hostPort",
|
||||
"username",
|
||||
"database"
|
||||
]
|
||||
}
|
||||
@ -52,7 +52,6 @@
|
||||
"Greenplum",
|
||||
"Doris",
|
||||
"UnityCatalog",
|
||||
"DuckDb",
|
||||
"SAS",
|
||||
"Iceberg"
|
||||
],
|
||||
@ -168,9 +167,6 @@
|
||||
{
|
||||
"name": "UnityCatalog"
|
||||
},
|
||||
{
|
||||
"name": "DuckDb"
|
||||
},
|
||||
{
|
||||
"name": "SAS"
|
||||
},
|
||||
@ -294,9 +290,6 @@
|
||||
{
|
||||
"$ref": "./connections/database/unityCatalogConnection.json"
|
||||
},
|
||||
{
|
||||
"$ref": "./connections/database/duckdbConnection.json"
|
||||
},
|
||||
{
|
||||
"$ref": "./connections/database/sasConnection.json"
|
||||
},
|
||||
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 2.2 KiB |
@ -32,7 +32,6 @@ import deltalake from '../assets/img/service-icon-delta-lake.png';
|
||||
import domo from '../assets/img/service-icon-domo.png';
|
||||
import doris from '../assets/img/service-icon-doris.png';
|
||||
import druid from '../assets/img/service-icon-druid.png';
|
||||
import duckdb from '../assets/img/service-icon-duckdb.png';
|
||||
import dynamodb from '../assets/img/service-icon-dynamodb.png';
|
||||
import fivetran from '../assets/img/service-icon-fivetran.png';
|
||||
import gcs from '../assets/img/service-icon-gcs.png';
|
||||
@ -195,7 +194,6 @@ export const COUCHBASE = couchbase;
|
||||
export const GREENPLUM = greenplum;
|
||||
export const ELASTIC_SEARCH = elasticSearch;
|
||||
export const OPEN_SEARCH = openSearch;
|
||||
export const DUCKDB = duckdb;
|
||||
export const PLUS = plus;
|
||||
export const NOSERVICE = noService;
|
||||
export const ICEBERGE = iceberge;
|
||||
|
||||
@ -27,7 +27,6 @@ import deltaLakeConnection from '../jsons/connectionSchemas/connections/database
|
||||
import domoDatabaseConnection from '../jsons/connectionSchemas/connections/database/domoDatabaseConnection.json';
|
||||
import dorisConnection from '../jsons/connectionSchemas/connections/database/dorisConnection.json';
|
||||
import druidConnection from '../jsons/connectionSchemas/connections/database/druidConnection.json';
|
||||
import duckdbConnection from '../jsons/connectionSchemas/connections/database/duckdbConnection.json';
|
||||
import dynamoDBConnection from '../jsons/connectionSchemas/connections/database/dynamoDBConnection.json';
|
||||
import glueConnection from '../jsons/connectionSchemas/connections/database/glueConnection.json';
|
||||
import greenplumConnection from '../jsons/connectionSchemas/connections/database/greenplumConnection.json';
|
||||
@ -233,11 +232,6 @@ export const getDatabaseConfig = (type: DatabaseServiceType) => {
|
||||
|
||||
break;
|
||||
}
|
||||
case DatabaseServiceType.DuckDB: {
|
||||
schema = duckdbConnection;
|
||||
|
||||
break;
|
||||
}
|
||||
case DatabaseServiceType.SAS: {
|
||||
schema = sasConnection;
|
||||
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user