google-big-queryHow do I insert data into Google BigQuery?
To insert data into Google BigQuery, you can use the INSERT
statement. The following example shows how to insert a record into a table:
INSERT INTO mydataset.mytable (name, age)
VALUES ('John', 32)
This statement inserts the values John
and 32
into the columns name
and age
of the table mytable
in the dataset mydataset
.
The INSERT
statement can also be used to insert multiple records at once. The following example shows how to insert multiple records into a table:
INSERT INTO mydataset.mytable (name, age)
VALUES
('John', 32),
('Mary', 30),
('Bob', 27)
This statement inserts three records into the table mytable
in the dataset mydataset
.
You can also use the LOAD
statement to insert data into BigQuery from a file. The following example shows how to load data from a CSV file into BigQuery:
LOAD DATA INPATH 'gs://mybucket/data.csv'
INTO mydataset.mytable
This statement loads the data from the file data.csv
in the bucket mybucket
into the table mytable
in the dataset mydataset
.
You can also use the BigQuery API to insert data into BigQuery. The following example shows how to insert data into BigQuery using the API:
# Imports the Google Cloud client library
from google.cloud import bigquery
# Instantiates a client
client = bigquery.Client()
# The name for the new dataset
dataset_id = 'mydataset'
# Prepares a reference to the new dataset
dataset_ref = client.dataset(dataset_id)
# Configures the dataset
dataset = bigquery.Dataset(dataset_ref)
# Creates the new dataset
dataset = client.create_dataset(dataset)
# The name for the new table
table_id = 'mytable'
# Prepares a reference to the new table
table_ref = dataset_ref.table(table_id)
# Configures the table schema
schema = [
bigquery.SchemaField('name', 'STRING'),
bigquery.SchemaField('age', 'INTEGER')
]
# Configures the table
table = bigquery.Table(table_ref, schema=schema)
# Creates the new table
table = client.create_table(table)
# The data to be inserted
rows = [
('John', 32),
('Mary', 30),
('Bob', 27)
]
# Inserts the data into the table
errors = client.insert_rows(table, rows)
# Prints the errors (if any)
print(errors)
This code snippet creates a new dataset and a new table with the specified schema. It then inserts the specified data into the table.
Helpful links
More of Google Big Query
- How do I start using Google Big Query?
- ¿Cuáles son las ventajas y desventajas de usar Google BigQuery?
- How can I use the CASE WHEN statement in Google Big Query?
- How do I use Google Big Query with Excel?
- How can I compare Google BigQuery and Amazon Redshift for software development?
- How do I rename a column in Google BigQuery?
- How do I use Google Big Query to encrypt data?
- How can I use Google Big Query with Udemy?
- How can I create a Google BigQuery table?
- How can I use Google BigQuery to wait for a query to complete?
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