mteb/BrightProStackoverflowRetrieval huggingface dataset:
* [ Data Boost overview  ](/spanner/docs/databoost/databoost-overview)
* [ Run federated queries with Data Boost  ](/spanner/docs/databoost/databoost-run-queries)
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* [ Use Data Boost in your applications  ](/spanner/docs/databoost/databoost-applications)
* [ Monitor Data Boost usage  ](/spanner/docs/databoost/databoost-monitor)
* [ Monitor and manage Data Boost quota usage  ](/spanner/docs/databoost/databoost-quotas)
* [ Introduction to row-level security  ](/bigquery/docs/row-level-security-intro)
* [ Work with row-level security  ](/bigquery/docs/managing-row-level-security)
* [ Use row-level security with other BigQuery features  ](/bigquery/docs/using-row-level-security-with-features)
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* [ View All Topics In this Discussion Space  ](/gc/Integration-Services/bd-p/cloud-integration-services/page/6 "Integration Services")
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* [ Introduction  ](/bigquery/docs/batch-loading-data)
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* [ Load externally partitioned data  ](/bigquery/docs/hive-partitioned-loads-gcs)
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* [ Load data using the Storage Write API  ](/bigquery/docs/write-api-batch-load)
* [ Load data into partitioned tables  ](/bigquery/docs/load-data-partitioned-tables)
* [ AI solutions, generative AI, and ML  ](/docs/ai-ml)
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* [ Introduction  ](/bigquery/docs/datasets-intro)
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* [ Legacy slot reservations  ](/bigquery/docs/reservations-workload-management-legacy)
* [ Legacy slot commitments  ](/bigquery/docs/reservations-details-legacy)
* [ Purchase and manage legacy slot commitments  ](/bigquery/docs/reservations-commitments-legacy)
* [ Work with legacy slot reservations  ](/bigquery/docs/reservations-tasks-legacy)
* [ Best Sellers table schema  ](/bigquery/docs/merchant-center-best-sellers-schema)
* [ Local Inventories table schema  ](/bigquery/docs/merchant-center-local-inventories-schema)
* [ Performance table schema  ](/bigquery/docs/merchant-center-performance-schema)
* [ Price Benchmarks table schema  ](/bigquery/docs/merchant-center-price-benchmarks-schema)
* [ Price Competitiveness table schema  ](/bigquery/docs/merchant-center-price-competitiveness-schema)
* [ Price Insights table schema  ](/bigquery/docs/merchant-center-price-insights-schema)
* [ Product Inventory table schema  ](/bigquery/docs/merchant-center-product-inventory-schema)
* [ Product Targeting table schema  ](/bigquery/docs/merchant-center-product-targeting-schema)
* [ Products table schema  ](/bigquery/docs/merchant-center-products-schema)
* [ Regional Inventories table schema  ](/bigquery/docs/merchant-center-regional-inventories-schema)
* [ Top Brands table schema  ](/bigquery/docs/merchant-center-top-brands-schema)
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* [ Introduction  ](/bigquery/docs/introduction-sql)
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* [ Table sampling  ](/bigquery/docs/table-sampling)
* [ Time series  ](/bigquery/docs/working-with-time-series)
* [ Transactions  ](/bigquery/docs/transactions)
* [ Vertex AI integration overview  ](/spanner/docs/ml)
* [ Get Vertex AI text embeddings  ](/spanner/docs/ml-tutorial-embeddings)
* [ Generate vector embeddings for textual data in bulk using partitioned DML  ](/spanner/docs/backfill-embeddings)
* [ Generate ML predictions using SQL  ](/spanner/docs/ml-tutorial)
* [ Generate ML predictions using the Spanner emulator  ](/spanner/docs/ml-emulator)
* [ Use Generative AI with a sample ecommerce application  ](/spanner/docs/ml-tutorial-generative-ai)
* [ Change streams overview  ](/spanner/docs/change-streams)
* [ Create and manage change streams  ](/spanner/docs/change-streams/manage)
* [ Build change streams connections using Dataflow  ](/spanner/docs/change-streams/use-dataflow)
* [ Build change streams connections to Kafka  ](/spanner/docs/change-streams/use-kafka)
* [ Change streams partitions, records, and queries  ](/spanner/docs/change-streams/details)
* [ Translate SQL queries interactively  ](/bigquery/docs/interactive-sql-translator)
* [ Translate SQL queries using the API  ](/bigquery/docs/api-sql-translator)
* [ Translate SQL queries in batch  ](/bigquery/docs/batch-sql-translator)
* [ Map SQL object names for batch translation  ](/bigquery/docs/output-name-mapping)
* [ Generate metadata for translation and assessment  ](/bigquery/docs/generate-metadata)
* [ Transform SQL translations with YAML  ](/bigquery/docs/config-yaml-translation)
* [ Manage BigQueryML models with Vertex AI  ](/bigquery/docs/managing-models-vertex)
* [ Register BigQueryML models to Vertex AI  ](/bigquery/docs/create_vertex)
* [ Update BigQueryML models in Vertex AI  ](/bigquery/docs/update_vertex)
* [ Remove BigQueryML models from Vertex AI  ](/bigquery/docs/delete_vertex)
* [ View BigQueryML model evaluations in Vertex AI  ](/bigquery/docs/model_eval)
* [ Prepare BigQueryML models for Explainable AI  ](/bigquery/docs/vertex-xai)
* [ Introduction  ](/bigquery/docs/sessions-intro)
* [ Create sessions  ](/bigquery/docs/sessions-create)
* [ Write queries in sessions  ](/bigquery/docs/sessions-write-queries)
* [ Run queries in sessions  ](/bigquery/docs/sessions-run-queries)
* [ Terminate sessions  ](/bigquery/docs/sessions-terminating)
* [ View query history in sessions  ](/bigquery/docs/sessions-view-history)
* [ Find sessions  ](/bigquery/docs/sessions-get-ids)
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* [ Generate text using a public dataset  ](/bigquery/docs/generate-text-tutorial)
* [ Generate text using your data  ](/bigquery/docs/generate-text)
* [ Try tuning and evaluation to improve LLM performance  ](/bigquery/docs/tune-evaluate)
* [ Tune a model using your data  ](/bigquery/docs/generate-text-tuning)
* [ Analyze images with a Gemini vision model  ](/bigquery/docs/image-analysis)
* [ Notebook: Generate code with BigQuery DataFrames ML  ](https://github.com/googleapis/python-bigquery-dataframes/blob/main/notebooks/getting_started/getting_started_bq_dataframes.ipynb)
* [ Introduction  ](/bigquery/docs/write-api)
* [ Stream data with the Storage Write API  ](/bigquery/docs/write-api-streaming)
* [ Batch load data with the Storage Write API  ](/bigquery/docs/write-api-batch)
* [ Best practices  ](/bigquery/docs/write-api-best-practices)
* [ Stream updates with change data capture  ](/bigquery/docs/change-data-capture)
* [ Use the legacy streaming API  ](/bigquery/docs/streaming-data-into-bigquery)
* [ Troubleshoot performance regressions  ](/spanner/docs/troubleshooting-performance-regressions)
* [ Troubleshoot with request tags and transaction tags  ](/spanner/docs/introspection/troubleshooting-with-tags)
* [ Troubleshoot deadline exceeded errors  ](/spanner/docs/deadline-exceeded)
* [ Troubleshoot Vertex AI integration errors  ](/spanner/docs/ml-troubleshoot)
* [ Error codes  ](/spanner/docs/error-codes)
* [ External table definition file  ](/bigquery/docs/external-table-definition)
* [ Externally partitioned data  ](/bigquery/docs/hive-partitioned-queries)
* [ Use metadata caching  ](/bigquery/docs/metadata-caching)
* [ Amazon S3 BigLake tables  ](/bigquery/docs/omni-aws-create-external-table)
* [ Apache Iceberg BigLake tables  ](/bigquery/docs/iceberg-tables)
* [ Azure Blob Storage BigLake tables  ](/bigquery/docs/omni-azure-create-external-table)
* [ Bigtable external table  ](/bigquery/docs/create-bigtable-external-table)
* [ Cloud Storage BigLake tables  ](/bigquery/docs/create-cloud-storage-table-biglake)
* [ Cloud Storage object tables  ](/bigquery/docs/object-tables)
* [ Cloud Storage external tables  ](/bigquery/docs/external-data-cloud-storage)
* [ Delta Lake BigLake tables  ](/bigquery/docs/create-delta-lake-table)
* [ Google Drive external tables  ](/bigquery/docs/external-data-drive)
* [ Make predictions with imported TensorFlow models  ](/bigquery/docs/making-predictions-with-imported-tensorflow-models)
* [ Make predictions with scikit-learn models in ONNX format  ](/bigquery/docs/making-predictions-with-sklearn-models-in-onnx-format)
* [ Make predictions with PyTorch models in ONNX format  ](/bigquery/docs/making-predictions-with-pytorch-models-in-onnx-format)
* [ Make predictions with remote models on Vertex AI  ](/bigquery/docs/bigquery-ml-remote-model-tutorial)
* [ Feature serving  ](/bigquery/docs/feature-serving)
* [ Hyperparameter tuning overview  ](/bigquery/docs/hp-tuning-overview)
* [ Model evaluation overview  ](/bigquery/docs/evaluate-overview)
* [ Model inference overview  ](/bigquery/docs/inference-overview)
* [ Explainable AI overview  ](/bigquery/docs/xai-overview)
* [ Model weights overview  ](/bigquery/docs/weights-overview)
* [ Model monitoring overview  ](/bigquery/docs/model-monitoring-overview)
* [ Get started  ](/bigquery/docs/reservations-get-started)
* [ Estimate slot capacity requirements  ](/bigquery/docs/slot-estimator)
* [ View slot recommendations and insights  ](/bigquery/docs/slot-recommender)
* [ Purchase and manage slot commitments  ](/bigquery/docs/reservations-commitments)
* [ Work with slot reservations  ](/bigquery/docs/reservations-tasks)
* [ Work with reservation assignments  ](/bigquery/docs/reservations-assignments)
* [ Create a regression model  ](/bigquery/docs/linear-regression-tutorial)
* [ Create a classification model  ](/bigquery/docs/logistic-regression-prediction)
* [ Notebook: Train a linear regression model with BigQuery DataFrames ML  ](https://github.com/googleapis/python-bigquery-dataframes/blob/main/notebooks/regression/bq_dataframes_ml_linear_regression.ipynb)
* [ Emulate Spanner locally  ](/spanner/docs/emulator)
* [ Use Spanner with Cloud Functions  ](/spanner/docs/use-cloud-functions)
* [ Use Terraform with Spanner  ](/spanner/docs/use-terraform)
* [ Configure custom timeouts and retries  ](/spanner/docs/custom-timeout-and-retry)
* [ Configure statement timeout  ](/spanner/docs/statement-timeout)
* [ Configure transaction timeout  ](/spanner/docs/transaction-timeout)
* [ Set up with client libraries  ](/spanner/docs/getting-started/set-up)
* [ C++ quickstart  ](/spanner/docs/getting-started/cpp)
* [ C# quickstart  ](/spanner/docs/getting-started/csharp)
* [ Go quickstart  ](/spanner/docs/getting-started/go)
* [ Java quickstart  ](/spanner/docs/getting-started/java)
* [ Node.js quickstart  ](/spanner/docs/getting-started/nodejs)
* [ PHP quickstart  ](/spanner/docs/getting-started/php)
* [ Python quickstart  ](/spanner/docs/getting-started/python)
* [ Ruby quickstart  ](/spanner/docs/getting-started/ruby)
* [ REST quickstart  ](/spanner/docs/getting-started/rest)
* [ Introspection tools overview  ](/spanner/docs/introspection)
* [ Query statistics  ](/spanner/docs/introspection/query-statistics)
* [ Oldest active queries statistics  ](/spanner/docs/introspection/oldest-active-queries)
* [ Active partitioned DMLs statistics  ](/spanner/docs/introspection/active-partitioned-dmls)
* [ Read statistics  ](/spanner/docs/introspection/read-statistics)
* [ Transaction statistics  ](/spanner/docs/introspection/transaction-statistics)
* [ Lock statistics  ](/spanner/docs/introspection/lock-statistics)
* [ Table sizes statistics  ](/spanner/docs/introspection/table-sizes-statistics)
* [ Table operations statistics  ](/spanner/docs/introspection/table-operations-statistics)
* [ Single time series forecasting  ](/bigquery/docs/arima-single-time-series-forecasting-tutorial)
* [ Multiple time series forecasting  ](/bigquery/docs/arima-multiple-time-series-forecasting-tutorial)
* [ Forecast millions of time series  ](/bigquery/docs/arima-speed-up-tutorial)
* [ Multivariate time series forecasting  ](/bigquery/docs/arima-plus-xreg-single-time-series-forecasting-tutorial)
* [ Use custom holidays in a time series forecasting model  ](/bigquery/docs/time-series-forecasting-holidays-tutorial)
* [ Limit forecasted values for a time series model  ](/bigquery/docs/arima-time-series-forecasting-with-limits-tutorial)
* [ Hierarchical time series forecasting  ](/bigquery/docs/arima-time-series-forecasting-with-hierarchical-time-series)
* [ Schemas overview  ](/spanner/docs/schema-and-data-model)
* [ Schema design best practices  ](/spanner/docs/schema-design)
* [ Make schema updates  ](/spanner/docs/schema-updates)
* [ Views overview  ](/spanner/docs/views)
* [ Create and manage views  ](/spanner/docs/create-manage-views)
* [ Secondary indexes  ](/spanner/docs/secondary-indexes)
* [ Foreign keys  ](/spanner/docs/foreign-keys/overview)
* [ Primary key default values management  ](/spanner/docs/primary-key-default-value)
* [ Create and manage foreign key relationships  ](/spanner/docs/foreign-keys/how-to)
* [ Create and manage check constraints  ](/spanner/docs/check-constraint/how-to)
* [ Create and manage generated columns  ](/spanner/docs/generated-column/how-to)
* [ Store arbitrary precision numeric data  ](/spanner/docs/storing-numeric-data)
* [ Create and manage sequences  ](/spanner/docs/sequence-tasks)
* [ Manage table names  ](/spanner/docs/table-name-synonym)
* [ Introduction  ](/bigquery/docs/best-practices-performance-overview)
* [ Use the query plan explanation  ](/bigquery/docs/query-plan-explanation)
* [ Get query performance insights  ](/bigquery/docs/query-insights)
* [ Optimize query computation  ](/bigquery/docs/best-practices-performance-compute)
* [ Use history-based optimizations  ](/bigquery/docs/history-based-optimizations)
* [ Optimize storage  ](/bigquery/docs/best-practices-storage)
* [ Use BI Engine  ](/bigquery/docs/bi-engine-query)
* [ Use nested and repeated data  ](/bigquery/docs/best-practices-performance-nested)
* [ Optimize functions  ](/bigquery/docs/best-practices-performance-functions)
* [ PGAdapter overview  ](/spanner/docs/pgadapter)
* [ Get PGAdapter  ](/spanner/docs/pgadapter-get)
* [ Start PGAdapter  ](/spanner/docs/pgadapter-start)
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* [ Connect PGAdapter to the emulator  ](/spanner/docs/pgadapter-emulator)
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* [ Introduction  ](/bigquery/docs/introduction-audit-workloads)
* [ Audit policy tags  ](/bigquery/docs/auditing-policy-tags)
* [ View Data Policy audit logs  ](/bigquery/docs/column-data-masking-audit-logging)
* [ Data Transfer Service audit logs  ](/bigquery/docs/audit-logging)
* [ Analytics Hub audit logging  ](/bigquery/docs/analytics-hub-audit-logging)
* [ BigQuery audit logs reference  ](/bigquery/docs/reference/auditlogs)
* [ Migrate audit logs  ](/bigquery/docs/reference/auditlogs/migration)
* [ BigLake API audit logs  ](/bigquery/docs/biglake-audit-logging)
* [ Backup and restore overview  ](/spanner/docs/backup)
* [ Choose between backup and restore or import and export  ](/spanner/docs/backup/choose-backup-import)
* [ Create a backup  ](/spanner/docs/backup/create-backup)
* [ Copy a backup  ](/spanner/docs/backup/copy-backup)
* [ Restore from a backup  ](/spanner/docs/backup/restore-backup)
* [ Backup and restore using the Google Cloud console  ](/spanner/docs/backup/gcp)
* [ Backup and restore using the gcloud CLI  ](/spanner/docs/backup/gcloud)
* [ Backup and restore using client libraries  ](/spanner/docs/backup/libraries)
* [ List models  ](/bigquery/docs/listing-models)
* [ Manage models  ](/bigquery/docs/managing-models)
* [ Get model metadata  ](/bigquery/docs/getting-model-metadata)
* [ Update model metadata  ](/bigquery/docs/updating-model-metadata)
* [ Export models  ](/bigquery/docs/exporting-models)
* [ Delete models  ](/bigquery/docs/deleting-models)
* [ Google Cloud ](/gc/Google-Cloud/ct-p/google-cloud)
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* [ ` STRING ` ](/bigquery/docs/reference/standard-sql/json_functions#string_for_json)
* [ ` BOOL ` ](/bigquery/docs/reference/standard-sql/json_functions#bool_for_json)
* [ ` INT64 ` ](/bigquery/docs/reference/standard-sql/json_functions#int64_for_json)
* [ ` FLOAT64 ` ](/bigquery/docs/reference/standard-sql/json_functions#double_for_json)
* [ Introduction  ](/bigquery/docs/monitoring)
* [ Monitor resource utilization and jobs  ](/bigquery/docs/admin-resource-charts)
* [ Monitor Analytics Hub listings  ](/bigquery/docs/analytics-hub-monitor-listings)
* [ Monitor BI Engine  ](/bigquery/docs/bi-engine-monitor)
* [ Monitor data quality  ](/bigquery/docs/data-quality-scan)
* [ Monitor Data Transfer Service  ](/bigquery/docs/dts-monitor)
* [ Monitor materialized views  ](/bigquery/docs/materialized-views-monitor)
* [ Monitor reservations  ](/bigquery/docs/reservations-monitoring)
* [ Dashboards, charts and alerts  ](/bigquery/docs/monitoring-dashboard)
* [ Monitor instance performance using insights  ](/spanner/docs/monitoring-console)
* [ Monitor instances using Cloud Monitoring  ](/spanner/docs/monitoring-cloud)
* [ CPU utilization metrics  ](/spanner/docs/cpu-utilization)
* [ Investigate high CPU utilization  ](/spanner/docs/introspection/investigate-cpu-utilization)
* [ Storage utilization metrics  ](/spanner/docs/storage-utilization)
* [ Generate text embeddings using an LLM  ](/bigquery/docs/generate-text-embedding)
* [ Generate image embeddings using an LLM  ](/bigquery/docs/generate-visual-content-embedding)
* [ Generate and search multimodal embeddings  ](/bigquery/docs/generate-multimodal-embeddings)
* [ Generate text embeddings using pretrained TensorFlow models  ](/bigquery/docs/generate-embedding-with-tensorflow-models)
* [ Introduction  ](/bigquery/docs/table-snapshots-intro)
* [ Create table snapshots  ](/bigquery/docs/table-snapshots-create)
* [ Restore table snapshots  ](/bigquery/docs/table-snapshots-restore)
* [ List table snapshots  ](/bigquery/docs/table-snapshots-list)
* [ View table snapshot metadata  ](/bigquery/docs/table-snapshots-metadata)
* [ Update table snapshot metadata  ](/bigquery/docs/table-snapshots-update)
* [ Delete table snapshots  ](/bigquery/docs/table-snapshots-delete)
* [ Create periodic table snapshots  ](/bigquery/docs/table-snapshots-scheduled)