I have a spreadsheet stored in google bigquery in the following format:
log_date: integer, SESSIONID: integer, computer: string, IP: string, event_id: integer, quantity: float
I am trying to create this table in a hierarchical nested format with two nested levels, as shown below:
[
{
"name": "log_date",
"type": "integer"
},
{
"name": "session",
"type": "record",
"mode": "repeated",
"fields": [
{
"name": "sessionid",
"type": "integer"
},
{
"name": "computer",
"type": "string"
},
{
"name": "ip",
"type": "string"
},
{
"name": "event",
"type": "record",
"mode": "repeated",
"fields": [
{
"name": "event_id",
"type": "integer"
},
{
"name": "amount",
"type": "float"
}]] } ]
What is the best way to create a formatted json file file from a bigquery table? Is there a different and faster approach than 1. Load the table into an external csv 2. Create a json record and write it to an external file 3. Load the external json file into a new bigquery table.
Do we have a direct process that generates json from existing tables?
Thanks, H