> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://apidocs.polytomic.com/2023-04-25/configuring-your-connections/connections/biq-query/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://apidocs.polytomic.com/_mcp/server. # Google BigQuery Supports: * ✅ Models * ✅ Model sync destination * ✅ Bulk sync source * ✅ Bulk sync destination ## Connection ### Configuration
NameTypeDescriptionRequired
auth_method string Authentication method

Accepted values: `service_account_key` ↓, `workload_identity_federation` ↓, `application_default_credentials`
true
location string Location (optional)

Region or multi-region for query operations
false
structured_values_as_json boolean Write object and array values as JSON false
use_bulk_sync_staging_schema boolean Use custom bulk sync staging schema ↓ false
use_extract boolean Use extract for bulk sync from BigQuery ↓ false

`use_extract`

When `use_extract` is `true`
NameTypeDescriptionRequired
bucket string Google Cloud Storage bucket true

`use_bulk_sync_staging_schema`

When `use_bulk_sync_staging_schema` is `true`
NameTypeDescriptionRequired
bulk_sync_staging_schema string Staging schema name true

`auth_method`

When `auth_method` is `workload_identity_federation`
NameTypeDescriptionRequired
credential_config string Credential configuration JSON file downloaded from Google Cloud true
wif_project_id string Google Cloud project ID true
When `auth_method` is `service_account_key|application_default_credentials`
NameTypeDescriptionRequired
override_project_id string Override project ID (optional)

Override the default project ID for cross-project access
false
When `auth_method` is `service_account_key`
NameTypeDescriptionRequired
service_account string Service account key true
#### Example ```json { "name": "Google BigQuery connection", "type": "bigquery", "configuration": { "auth_method": "", "location": "us-east1", "structured_values_as_json": false, "use_bulk_sync_staging_schema": false, "use_extract": false } } ``` ### Read-only properties
NameTypeDescriptionRequired

`auth_method`

When `auth_method` is `service_account_key`
NameTypeDescriptionRequired
client_email string Service account identity false
project_id string Service account project ID false
## Model Sync ### Source #### Configuration
NameTypeDescriptionRequired
dataset string Dataset false
query string false
table string Table false
#### Example ```json { ... "configuration": { "dataset": "nyctaxi", "query": "SELECT * from sampledata.nyctaxi.taxis", "table": "taxis" } } ``` ### Target Google BigQuery connections may be used as the destination in a model sync. ### Target creation Google BigQuery connections may be used to create a new target for a model sync. The following parameters are required to create a new target:
NAME DESCRIPTION ENUM
dataset Dataset true
name Table name false
## Bulk Sync ### Source Google BigQuery connections may be used as a bulk sync source. No additional configuration options are required. ### Destination #### Configuration
NameTypeDescriptionRequired
advanced object false
dataset string Output dataset false
mirror_schemas boolean Mirror schemas false
#### Example ```json { ... "destination_configuration": { "advanced": { "empty_strings_null": false, "expire_tables_after_inactivity": false, "hard_deletes": false, "initial_execution": "", "table_expiry_days": 0, "table_prefix": "", "truncate_existing": false }, "dataset": "dataset", "mirror_schemas": false } } ``` ## Type handling ### Destination types | POLYTOMIC TYPE | GOOGLE BIGQUERY TYPE | |-----------------------------|-------------------------------| | `array<>` | `JSON` | | `bigint` | `INTEGER` | | `boolean` | `BOOLEAN` | | `date` | `DATE` | | `datetime` | `TIMESTAMP` | | `decimal(precision, scale)` | `BIGNUMERIC(precision,scale)` | | `double` | `FLOAT` | | `int` | `INTEGER` | | `json` | `JSON` | | `jsonarray` | `JSON` | | `number` | `BIGNUMERIC` | | `object{}` | `JSON` | | `single` | `FLOAT` | | `smallint` | `INTEGER` | | `string` | `STRING` | | `time` | `TIME` | ### Source types | GOOGLE BIGQUERY TYPE | POLYTOMIC TYPE | |--------------------------------|-----------------------------| | `ARRAY<>` | `array<>` | | `BIGNUMERIC` | `number` | | `BIGNUMERIC(precision, scale)` | `decimal(precision, scale)` | | `DATE` | `date` | | `FLOAT` | `double` | | `INTEGER` | `bigint` | | `NUMERIC` | `number` | | `NUMERIC(precision, scale)` | `decimal(precision, scale)` | | `RECORD` | `json` | | `RECORD<>` | `object{}` | | `TIME` | `time` | | `TIMESTAMP` | `datetime` |