## wiring.get_table_schema()


Return the schema as the `dg.TableSchema` that Dagster's Columns tab shows.


Usage

``` python
wiring.get_table_schema(schema)
```


Each column has its dtype, description, nullability, uniqueness and column constraints. Its tags come from `dy.Column(metadata=...)`, with each value converted to a string, except the `dagster_dataframely` key, whose severities the checks show. The primary key is a table constraint, so only `unique=True` marks a key column unique.


## Parameters


`schema: type[dy.Schema]`  
The schema to render.


## Returns


`dg.TableSchema`  
A table schema with the columns in the schema's order.


## Raises


`ReservedColumnError`  
A column name is in the reserved `dy_` namespace.

`InvalidColumnNameError`  
A column name has a character Dagster does not allow in an asset check name.

`CheckNameCollisionError`  
Two rules produce the same asset check name.

`InvalidSeverityError`  
The schema declares a severity this package cannot read.


## Examples


``` python
import dagster_dataframely as dd
from dagster_dataframely.data import OrdersSchema

dd.wiring.get_table_schema(OrdersSchema).columns[0]
```


    TableColumn(name='order_id', type='String', description='Order identifier, unique together with `line_no`.', constraints=TableColumnConstraints(nullable=False, unique=False, other=['matches ^ORD-\\d{4}$']), tags={})