CODEWITHSUNDEEP
pythongoogle-cloud-platformgoogle-bigquery
python_interest
python_interest

Reputation: 874

How to insert values into nested table in python?

I have created a nested table in bigQuery and I would like to insert values into this table.

I know normally we can perform as below:

INSERT INTO `tablename`(webformID,visitID,visitorID,loginID,mycat,country,webformData) VALUES ('1',2,'3','4','5','6',[STRUCT('key2','b'),('k3','c'),('k4','d')])

where webform data is a nested column.

However, in python, how can we do this?

I can create a list as follows: ["STRUCT('key2','b')",('k3','c')] but the 0th index is a problem while trying to insert.

Please advice Thank you

Upvotes: 3

Views: 2170

Answers (1)

hkanjih
hkanjih

Reputation: 1301

You can insert data in the same order than the table was created.

Follow an example:

from google.cloud import bigquery

client = bigquery.Client.from_service_account_json(JSON_FILE_NAME)
dataset_id = 'test'  # replace with your dataset ID
table_id = 'tablek1'  # replace with your table ID

schema = [
        bigquery.table.SchemaField('column1', 'STRING', mode='REQUIRED'),
        bigquery.table.SchemaField('parent', 'RECORD', mode='REQUIRED', fields = [
            bigquery.table.SchemaField('children1', 'STRING', mode='NULLABLE'),
            bigquery.table.SchemaField('children2', 'INTEGER', mode='NULLABLE')])
    ]

dataset_ref = bigquery.Dataset(client.dataset(dataset_id))
table_ref = dataset_ref.table(table_id)
table = bigquery.Table(table_ref, schema=schema)
table = client.create_table(table)  # API request

# IF YOU NEED GET THE TABLE
# table_ref = client.dataset(dataset_id).table(table_id) 
# table = client.get_table(table_ref)  # API request

rows_to_insert = [
    (
        "test 1", dict(children1 = 'test', children2 = 29 ),     
    )
]

errors = client.insert_rows(table, rows_to_insert)  # API request
print(errors)

Let me know if it helps!

Upvotes: 3

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