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final class atoti_directquery_synapse.ConnectionConfig

Config to connect to a Synapse database.

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Example

>>> import os
>>> from atoti_directquery_synapse import ConnectionConfig
>>> connection_config = ConnectionConfig(
...     url="jdbc:sqlserver://"
...     + account_identifier
...     + ".sql.azuresynapse.net;authentication="
...     + os.environ["SYNAPSE_AUTHENTICATION_METHOD"]
...     + ";user="
...     + os.environ["SYNAPSE_USERNAME"],
...     password=os.environ["SYNAPSE_PASSWORD"],
... )
>>> external_database = session.connect_to_external_database(connection_config)

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auto_multi_column_array_conversion : AutoMultiColumnArrayConversion | None = None

When not None, multi-column array conversion will be performed automatically.

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column_clustered_queries : ‘all’ | ‘feeding’ = ‘feeding’

Control which queries will use clustering columns.

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feeding_query_timeout : Duration = datetime.timedelta(seconds=3600)

Timeout for queries performed on the external database during feeding phases. The feeding phases are:

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lookup_mode : ‘allow’ | ‘warn’ | ‘deny’ = ‘warn’

Whether lookup queries on the external database are allowed. Lookup can be very slow and expensive as the database may not enforce primary keys.

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max_sub_queries : Annotated[int, Field(gt=0)] = 500

Maximum number of sub queries performed when splitting a query into multi-step queries.

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password : str | None = None

The password to connect to the database. Passing it in this separate attribute prevents it from being logged alongside the connection string. If None, a password is expected to be present in url.

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query_timeout : Duration = datetime.timedelta(seconds=300)

Timeout for queries performed on the external database outside feeding phases.

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url : str

The JDBC connection string. See https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/connection-strings#sample-jdbc-connection-string for more information.