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README.md

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View the [BigQuery Node.js samples][bigquery_samples].
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[bigquery_docs]: https://cloud.google.com/bigquery/docs/
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[bigquery_samples]: bigquery
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[bigquery_samples]: https://github.com/googleapis/nodejs-bigquery/tree/master/samples
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#### Google Cloud Pub/Sub
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View the [Cloud Vision API Node.js samples][vision_samples].
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[vision_docs]: https://cloud.google.com/vision/docs/
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[vision_samples]: vision
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[vision_samples]: https://github.com/googleapis/nodejs-vision/tree/master/samples
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### Management Tools
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appengine/cloudtasks/createTask.js

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createTask(opts.project, opts.location, opts.queue, opts);
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}
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exports.authorize = authorize;
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exports.createTask = createTask;

bigquery/README.md

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<img src="https://avatars2.githubusercontent.com/u/2810941?v=3&s=96" alt="Google Cloud Platform logo" title="Google Cloud Platform" align="right" height="96" width="96"/>
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Samples for the [BigQuery API Node.js Client][client] have moved to
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[github.com/googleapis/nodejs-bigquery/tree/master/samples/][samples].
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# Google BigQuery Node.js Samples
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[![Build](https://storage.googleapis.com/cloud-docs-samples-badges/GoogleCloudPlatform/nodejs-docs-samples/nodejs-docs-samples-bigquery.svg)]()
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[BigQuery](https://cloud.google.com/bigquery/docs) is Google&#x27;s fully managed, petabyte scale, low cost analytics data warehouse. BigQuery is NoOps—there is no infrastructure to manage and you don&#x27;t need a database administrator—so you can focus on analyzing data to find meaningful insights, use familiar SQL, and take advantage of our pay-as-you-go model.
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## Table of Contents
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* [Setup](#setup)
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* [Samples](#samples)
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* [Datasets](#datasets)
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* [Tables](#tables)
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* [Queries](#queries)
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* [Running the tests](#running-the-tests)
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## Setup
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1. Read [Prerequisites][prereq] and [How to run a sample][run] first.
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1. Install dependencies:
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With **npm**:
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npm install
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With **yarn**:
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yarn install
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[prereq]: ../README.md#prerequisites
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[run]: ../README.md#how-to-run-a-sample
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## Samples
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### Datasets
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View the [documentation][datasets_0_docs] or the [source code][datasets_0_code].
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__Usage:__ `node datasets.js --help`
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```
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Commands:
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create <datasetId> Creates a new dataset.
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delete <datasetId> Deletes a dataset.
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list Lists datasets.
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Options:
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--projectId, -p The Project ID to use. Defaults to the value of the GCLOUD_PROJECT or GOOGLE_CLOUD_PROJECT
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environment variables. [string]
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--help Show help [boolean]
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Examples:
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node datasets.js create my_dataset Creates a new dataset named "my_dataset".
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node datasets.js delete my_dataset Deletes a dataset named "my_dataset".
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node datasets.js list Lists all datasets in the project specified by the
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GCLOUD_PROJECT or GOOGLE_CLOUD_PROJECT environments variables.
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node datasets.js list --projectId=bigquery-public-data Lists all datasets in the "bigquery-public-data" project.
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For more information, see https://cloud.google.com/bigquery/docs
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```
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[datasets_0_docs]: https://cloud.google.com/bigquery/docs
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[datasets_0_code]: datasets.js
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### Tables
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View the [documentation][tables_1_docs] or the [source code][tables_1_code].
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__Usage:__ `node tables.js --help`
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```
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Commands:
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create <datasetId> <tableId> <schema> Creates a new table.
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list <datasetId> Lists all tables in a dataset.
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delete <datasetId> <tableId> Deletes a table.
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copy <srcDatasetId> <srcTableId> <destDatasetId> Makes a copy of a table.
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<destTableId>
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browse <datasetId> <tableId> Lists rows in a table.
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import <datasetId> <tableId> <fileName> Imports data from a local file into a table.
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import-gcs <datasetId> <tableId> <bucketName> <fileName> Imports data from a Google Cloud Storage file into a
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table.
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export <datasetId> <tableId> <bucketName> <fileName> Export a table from BigQuery to Google Cloud Storage.
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insert <datasetId> <tableId> <json_or_file> Insert a JSON array (as a string or newline-delimited
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file) into a BigQuery table.
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Options:
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--projectId, -p The Project ID to use. Defaults to the value of the GCLOUD_PROJECT or GOOGLE_CLOUD_PROJECT
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environment variables. [string]
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--help Show help [boolean]
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Examples:
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node tables.js create my_dataset my_table "Name:string, Creates a new table named "my_table" in "my_dataset".
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Age:integer, Weight:float, IsMagic:boolean"
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node tables.js list my_dataset Lists tables in "my_dataset".
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node tables.js browse my_dataset my_table Displays rows from "my_table" in "my_dataset".
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node tables.js delete my_dataset my_table Deletes "my_table" from "my_dataset".
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node tables.js import my_dataset my_table ./data.csv Imports a local file into a table.
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node tables.js import-gcs my_dataset my_table my-bucket Imports a GCS file into a table.
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data.csv
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node tables.js export my_dataset my_table my-bucket my-file Exports my_dataset:my_table to gcs://my-bucket/my-file
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as raw CSV.
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node tables.js export my_dataset my_table my-bucket my-file Exports my_dataset:my_table to gcs://my-bucket/my-file
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-f JSON --gzip as gzipped JSON.
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node tables.js insert my_dataset my_table json_string Inserts the JSON array represented by json_string into
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my_dataset:my_table.
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node tables.js insert my_dataset my_table json_file Inserts the JSON objects contained in json_file (one per
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line) into my_dataset:my_table.
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node tables.js copy src_dataset src_table dest_dataset Copies src_dataset:src_table to dest_dataset:dest_table.
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dest_table
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For more information, see https://cloud.google.com/bigquery/docs
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```
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[tables_1_docs]: https://cloud.google.com/bigquery/docs
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[tables_1_code]: tables.js
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### Queries
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View the [documentation][queries_2_docs] or the [source code][queries_2_code].
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__Usage:__ `node queries.js --help`
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```
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Commands:
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sync <sqlQuery> Run the specified synchronous query.
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async <sqlQuery> Start the specified asynchronous query.
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shakespeare Queries a public Shakespeare dataset.
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Options:
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--projectId, -p The Project ID to use. Defaults to the value of the GCLOUD_PROJECT or GOOGLE_CLOUD_PROJECT
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environment variables. [string]
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--help Show help [boolean]
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Examples:
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node queries.js sync "SELECT * FROM Synchronously queries the natality dataset.
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publicdata.samples.natality LIMIT 5;"
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node queries.js async "SELECT * FROM Queries the natality dataset as a job.
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publicdata.samples.natality LIMIT 5;"
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node queries.js shakespeare Queries a public Shakespeare dataset.
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For more information, see https://cloud.google.com/bigquery/docs
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```
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[queries_2_docs]: https://cloud.google.com/bigquery/docs
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[queries_2_code]: queries.js
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## Running the tests
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1. Set the **GCLOUD_PROJECT** and **GOOGLE_APPLICATION_CREDENTIALS** environment variables.
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1. Run the tests:
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With **npm**:
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npm test
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With **yarn**:
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yarn test
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[client]: https://github.com/googleapis/nodejs-bigquery
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[samples]: https://github.com/googleapis/nodejs-bigquery/tree/master/samples

bigquery/datasets.js

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bigquery/package.json

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