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16 changes: 8 additions & 8 deletions docs/bigquery-usage.rst
Original file line number Diff line number Diff line change
Expand Up @@ -220,8 +220,8 @@ Update all writable metadata for a table
>>> dataset = client.dataset('dataset_name')
>>> table = dataset.table(name='person_ages')
>>> table.schema = [
... SchemaField(name='full_name', type='string', mode='required'),
... SchemaField(name='age', type='int', mode='required)]
... SchemaField('full_name', 'STRING', mode='required'),
... SchemaField('age', 'INTEGER', mode='required)]
>>> table.update() # API request

Upload table data from a file:
Expand All @@ -233,8 +233,8 @@ Upload table data from a file:
>>> dataset = client.dataset('dataset_name')
>>> table = dataset.table(name='person_ages')
>>> table.schema = [
... SchemaField(name='full_name', type='string', mode='required'),
... SchemaField(name='age', type='int', mode='required)]
... SchemaField('full_name', 'STRING', mode='required'),
... SchemaField('age', 'INTEGER', mode='required)]
>>> with open('person_ages.csv', 'rb') as csv_file:
... table.upload_from_file(csv_file, CSV,
... create_disposition='CREATE_IF_NEEDED')
Expand Down Expand Up @@ -384,8 +384,8 @@ Load data synchronously from a local CSV file into a new table:
>>> client = bigquery.Client()
>>> table = dataset.table(name='person_ages')
>>> table.schema = [
... SchemaField(name='full_name', type='string', mode='required'),
... SchemaField(name='age', type='int', mode='required)]
... SchemaField('full_name', 'STRING', mode='required'),
... SchemaField('age', 'INTEGER', mode='required)]
>>> with open('/path/to/person_ages.csv', 'rb') as file_obj:
... reader = csv.reader(file_obj)
... rows = list(reader)
Expand All @@ -405,8 +405,8 @@ the job locally:
>>> client = bigquery.Client()
>>> table = dataset.table(name='person_ages')
>>> table.schema = [
... SchemaField(name='full_name', type='string', mode='required'),
... SchemaField(name='age', type='int', mode='required)]
... SchemaField('full_name', 'STRING', mode='required'),
... SchemaField('age', 'INTEGER', mode='required)]
>>> job = client.load_table_from_storage(
... 'load-from-storage-job', table, 'gs://bucket-name/object-prefix*')
>>> job.source_format = 'CSV'
Expand Down