Streaming insert into GEOGRAPHY column with WKT data.

## Explore further


For detailed documentation that includes this code sample, see the following:

- [Work with geospatial data](https://docs.cloud.google.com/bigquery/docs/geospatial-data.md.txt)

## Code sample

### Python


Before trying this sample, follow the Python setup instructions in the
[BigQuery quickstart using
client libraries](https://docs.cloud.google.com/bigquery/docs/quickstarts/quickstart-client-libraries).


For more information, see the
[BigQuery Python API
reference documentation](https://docs.cloud.google.com/python/docs/reference/bigquery/latest).


To authenticate to BigQuery, set up Application Default Credentials.
For more information, see

[Set up authentication for client libraries](https://docs.cloud.google.com/bigquery/docs/authentication.md.txt#client-libs).

```python
from google.cloud import bigquery
import shapely.geometry
import shapely.wkt

bigquery_client = bigquery.Client()

# This example uses a table containing a column named "geo" with the
# GEOGRAPHY data type.
table_id = "my-project.my_dataset.my_table"

# Use the Shapely library to generate WKT of a line from LAX to
# JFK airports. Alternatively, you may define WKT data directly.
my_geography = shapely.geometry.LineString(
    [(-118.4085, 33.9416), (-73.7781, 40.6413)]
)
rows = [
    # Convert data into a WKT string.
    {"geo": shapely.wkt.dumps(my_geography)},
]

#  table already exists and has a column
# named "geo" with data type GEOGRAPHY.
errors = bigquery_client.insert_rows_json(table_id, rows)
if errors:
    raise RuntimeError(f"row insert failed: {errors}")
else:
    print(f"wrote 1 row to {table_id}")
```

### Ruby


Before trying this sample, follow the Ruby setup instructions in the
[BigQuery quickstart using
client libraries](https://docs.cloud.google.com/bigquery/docs/quickstarts/quickstart-client-libraries).


For more information, see the
[BigQuery Ruby API
reference documentation](https://googleapis.dev/ruby/google-cloud-bigquery/latest/Google/Cloud/Bigquery.html).


To authenticate to BigQuery, set up Application Default Credentials.
For more information, see

[Set up authentication for client libraries](https://docs.cloud.google.com/bigquery/docs/authentication.md.txt#client-libs).

```ruby
require "google/cloud/bigquery"
require "rgeo"

def insert_geography_wkt dataset_id = "your_dataset_id", table_id = "your_table_id"
  bigquery = Google::Cloud::Bigquery.new
  dataset  = bigquery.dataset dataset_id
  table    = dataset.table table_id

  # Use the RGeo library to generate WKT of a line from LAX to
  # JFK airports. Alternatively, you may define WKT data directly.
  factory = RGeo::Geographic.spherical_factory
  my_line = factory.line_string([factory.point(-118.4085, 33.9416), factory.point(-73.7781, 40.6413)])
  row_data = [
    # Convert data into a WKT string: "LINESTRING (-118.4085 33.9416, -73.7781 40.6413)"
    { geo: my_line.as_text }
  ]

  # Table already exists and has a column named "geo" with data type GEOGRAPHY.
  response = table.insert row_data

  if response.success?
    puts "Inserted GEOGRAPHY WKT row successfully"
  else
    puts "GEOGRAPHY WKT row insert failed: #{response.error_rows.first&.errors}"
  end
end
```

## What's next


To search and filter code samples for other Google Cloud products, see the
[Google Cloud sample browser](https://docs.cloud.google.com/docs/samples.md.txt?product=bigquery).