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Version: 2.1.0

tabsdatak.conn.bigquery

BigQueryColumnSpec
BigQueryDestBigQuery destination for @subscriber -- one output slot per table.
BigQueryDestConnBigQuery connection.
BigQueryTableNameSpec
BigQueryTableNamesSpec
CloudLocationAbstract base for a BigQuery staging location.
CredentialsSpecThe credential type for BigQuery connections: GCPJson (service-account JSON key).
DatasetSpec
DestCfgKey
DestCfgSpec
GCSLocationGCS staging area for BigQueryDest.
IfTableExistsSpec
MergeCfgHow if_table_exists="merge" matches incoming rows onto a target table.
MergeCfgSpecOne MergeCfg per entry in BigQueryDest.tables, in the same order.
MergeColumnSpec
MergeColumnsSpec
ProjectSpec
SchemaEvolutionEngineSpecWhich machinery evolves the target's schema.
SchemaEvolutionSpec

BigQueryColumnSpec

type_alias
BigQueryColumnSpec: str

BigQueryTableNameSpec

type_alias
BigQueryTableNameSpec: str

BigQueryTableNamesSpec

type_alias
BigQueryTableNamesSpec: list[BigQueryTableNameSpec]

Resolved type:

list[str]

CredentialsSpec

type_alias
CredentialsSpec: GCPJson

The credential type for BigQuery connections: GCPJson (service-account JSON key).


DatasetSpec

type_alias
DatasetSpec: StrOrSecretSpec

Resolved type:

str | Secret

DestCfgKey

type_alias
DestCfgKey: Literal['bigquery.logging_level', 'bigquery.schema_evolution_engine']

DestCfgSpec

type_alias
DestCfgSpec: Mapping[DestCfgKey, Any]

Resolved type:

Mapping[Literal['bigquery.logging_level', 'bigquery.schema_evolution_engine'], Any]

IfTableExistsSpec

type_alias
IfTableExistsSpec: Literal['append', 'replace', 'merge']

MergeCfgSpec

type_alias
MergeCfgSpec: list[MergeCfg]

One MergeCfg per entry in BigQueryDest.tables, in the same order.

A list even for a single table, so that reading a merge config off a destination never depends on how many tables it happens to write.


MergeColumnSpec

type_alias
MergeColumnSpec: BigQueryColumnSpec

Resolved type:

str

MergeColumnsSpec

type_alias
MergeColumnsSpec: list[BigQueryColumnSpec]

Resolved type:

list[str]

ProjectSpec

type_alias
ProjectSpec: StrOrSecretSpec

Resolved type:

str | Secret

SchemaEvolutionEngineSpec

type_alias
SchemaEvolutionEngineSpec: Literal['native', 'iceberg']

Which machinery evolves the target's schema. "native" leans on BigQuery's own schema_update_options on the load job; "iceberg" has the connector diff the target against the incoming batch and emit the ALTER statements itself.


SchemaEvolutionSpec

type_alias
SchemaEvolutionSpec: Literal['update', 'strict']