BigQuery is a wrapper around the Google api ruby gem designed to make interacting with BigQuery easier.
gem install bigquery
Only service accounts are supported right now. https://developers.google.com/accounts/docs/OAuth2#serviceaccount
- query
- tables
- load
- tables_formatted
- job
- jobs
- insert_job
- refresh_auth
require 'big_query'
opts = {}
opts['client_id'] = '1234.apps.googleusercontent.com'
opts['service_email'] = '1234@developer.gserviceaccount.com'
opts['key'] = '/path/to/somekeyfile-privatekey.p12'
opts['project_id'] = '54321'
opts['dataset'] = 'yourdataset'
bq = BigQuery::Client.new(opts)
puts bq.tables
List tables in dataset
bq.tables
List table names
bq.tables_formatted
Fetch table data
bq.table_data('table_name')
Delete exiting table
bq.delete_table('test123')
Create table. First param is the table name second one is the table schema defined with the following format
{
field_name: {
type: 'TYPE_VALUE BETWEEN (STRING, INTEGER, FLOAT, BOOLEAN, RECORD, TIMESTAMP)',
mode: 'MODE_VALUE BETWEEN (NULLABLE, REQUIRED, REPEATED)'
},
other_field_name: { ... }
}
As this example defines
table_name = 'test123'
table_schema = { id: { type: 'INTEGER' },
name: { type: 'STRING' } }
bq.create_table(table_name, table_schema)
Describe table schema
bq.describe_table('table_name')
bq.query("SELECT * FROM [#{config['dataset']}.table_name] LIMIT 1")
Insert a single row
bq.insert('table_name', 'id' => 123, 'type' => 'Task')
Batch insert an array of rows. See bigquery docs for limitations.
data = [{'id' => 123, 'type' => 'Foo'}, {'id' => 321, 'type' => 'Bar'}]
bq.insert('table_name', data)
To get the keys you need to have a:
- google API project (link)[https://console.developers.google.com/project]
- bigquery activated (link)[https://bigquery.cloud.google.com]
- create a bigquery dataset in the project (link)[https://bigquery.cloud.google.com]
1- Goto your project google api access
https://code.google.com/apis/console/b/0/?noredirect&pli=1#project:YOUR_PROJECT_ID:access
2- Create a new client-ID for service_account 3- Download de key file
Now you have everything:
- client_id: API access client-ID
- service_email: API access Email address
- key: API access key file path
- project_id: your google API project id
- dataset: your big query dataset name
If you're getting an "invalid_grant" error it usually means your system clock is off.
If you're getting unauthorized requested but you've been able to successfully connect before, you need to refresh your auth by running the "refresh_auth" method.
Before run test, you must create file named .bigquery_settings.yml on root of this repository. .bigquery_settings.yml must include following infomation.
client_id: '1234.apps.googleusercontent.com'
service_email: '1234@developer.gserviceaccount.com'
key: '/path/to/somekeyfile-privatekey.p12'
project_id: '54321'
dataset: 'yourdataset'Then run tests via rake.
$ bundle install && bundle exec rake test
Fork and submit a pull request and make sure you add a test for any feature you add.
LICENSE:
(The MIT License)
Copyright © 2012 Adam Bronte
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the ‘Software’), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED ‘AS IS’, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.