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5a5a0e70fc
The previous import-path fixer only matched two-level relative paths (`../../src/` and `../../data/`), missing files at deeper nesting in the section tree. After the 6.1.0 cut for developer_docs, ~50 component MDX files at depth 3 still referenced `../../../src/components/StorybookWrapper` (should have been `../../../../src/...`), and the components Button page referenced `../../../superset-frontend/...` (should have been `../../../../superset-frontend/...`). The Docusaurus production build failed with module-not-found errors as a result. Replace the pattern-specific regex with a depth-aware walker that - counts the file's nesting depth within the snapshot, - bumps any relative import whose `../` count exceeds that depth (i.e. the import escapes the section root and so must compensate for the extra `version-X.X.X/` directory the snapshot lives under), - skips fenced code blocks so documented sample imports (e.g. Playwright page-object examples in developer_docs/testing/e2e-testing.md) are not rewritten. Re-cut all four sections under the new fixer. yarn build now passes locally.
32 lines
4.1 KiB
Plaintext
32 lines
4.1 KiB
Plaintext
---
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title: Google BigQuery
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sidebar_label: Google BigQuery
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description: "Google BigQuery is a serverless, highly scalable data warehouse."
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hide_title: true
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---
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{/*
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Licensed to the Apache Software Foundation (ASF) under one
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or more contributor license agreements. See the NOTICE file
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distributed with this work for additional information
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regarding copyright ownership. The ASF licenses this file
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to you under the Apache License, Version 2.0 (the
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"License"); you may not use this file except in compliance
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with the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing,
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software distributed under the License is distributed on an
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"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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KIND, either express or implied. See the License for the
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specific language governing permissions and limitations
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under the License.
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*/}
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import { DatabasePage } from '@site/src/components/databases';
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export const databaseInfo = {"engine":"google_bigquery","engine_name":"Google BigQuery","module":"bigquery","documentation":{"description":"Google BigQuery is a serverless, highly scalable data warehouse.","logo":"google-big-query.svg","homepage_url":"https://cloud.google.com/bigquery/","categories":["CLOUD_GCP","ANALYTICAL_DATABASES","PROPRIETARY"],"pypi_packages":["sqlalchemy-bigquery"],"connection_string":"bigquery://{project_id}","install_instructions":"echo \"sqlalchemy-bigquery\" >> ./docker/requirements-local.txt","authentication_methods":[{"name":"Service Account JSON","description":"Upload service account credentials JSON or paste in Secure Extra","secure_extra":{"credentials_info":{"type":"service_account","project_id":"...","private_key_id":"...","private_key":"...","client_email":"...","client_id":"...","auth_uri":"...","token_uri":"..."}}}],"notes":"Create a Service Account via GCP console with access to BigQuery datasets. For CSV/Excel uploads, also install pandas_gbq.","warnings":["Google BigQuery Python SDK is not compatible with gevent. Use a worker type other than gevent when deploying with gunicorn."],"docs_url":"https://github.com/googleapis/python-bigquery-sqlalchemy","custom_errors":[{"regex_name":"CONNECTION_DATABASE_PERMISSIONS_REGEX","message_template":"Unable to connect. Verify that the following roles are set on the service account: \"BigQuery Data Viewer\", \"BigQuery Metadata Viewer\", \"BigQuery Job User\" and the following permissions are set \"bigquery.readsessions.create\", \"bigquery.readsessions.getData\"","error_type":"CONNECTION_DATABASE_PERMISSIONS_ERROR","category":"Permissions","description":"Insufficient permissions","issue_codes":[1017]},{"regex_name":"TABLE_DOES_NOT_EXIST_REGEX","message_template":"The table \"%(table)s\" does not exist. A valid table must be used to run this query.","error_type":"TABLE_DOES_NOT_EXIST_ERROR","category":"Query","description":"Table not found","issue_codes":[1003,1005]},{"regex_name":"COLUMN_DOES_NOT_EXIST_REGEX","message_template":"We can't seem to resolve column \"%(column)s\" at line %(location)s.","error_type":"COLUMN_DOES_NOT_EXIST_ERROR","category":"Query","description":"Column not found","issue_codes":[1003,1004]},{"regex_name":"SCHEMA_DOES_NOT_EXIST_REGEX","message_template":"The schema \"%(schema)s\" does not exist. A valid schema must be used to run this query.","error_type":"SCHEMA_DOES_NOT_EXIST_ERROR","category":"Query","description":"Schema not found","issue_codes":[1003,1016]},{"regex_name":"SYNTAX_ERROR_REGEX","message_template":"Please check your query for syntax errors at or near \"%(syntax_error)s\". Then, try running your query again.","error_type":"SYNTAX_ERROR","category":"Query","description":"SQL syntax error","issue_codes":[1030]}]},"time_grains":{},"score":0,"max_score":0,"joins":true,"subqueries":true,"supports_dynamic_schema":false,"supports_catalog":false,"supports_dynamic_catalog":false,"ssh_tunneling":false,"query_cancelation":false,"supports_file_upload":false,"user_impersonation":false,"query_cost_estimation":false,"sql_validation":false};
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<DatabasePage name="Google BigQuery" database={databaseInfo} />
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