I have a bigquery table with the following schema:
{
"fields": [
{
"name": "products",
"type": "RECORD",
"mode": "REPEATED",
"fields": [
{
"name": "name",
"type": "STRING",
"mode": "REQUIRED"
},
{
"name": "qty",
"type": "INTEGER",
"mode": "REQUIRED"
},
{
"name": "variant_name",
"type": "STRING",
"mode": "REQUIRED"
},
{
"name": "order_id",
"type": "INTEGER",
"mode": "REQUIRED"
},
{
"name": "test_mode",
"type": "BOOLEAN",
"mode": "REQUIRED"
},
{
"name": "amount",
"type": "FLOAT",
"mode": "REQUIRED"
},
{
"name": "transaction_reference",
"type": "STRING",
"mode": "REQUIRED"
},
{
"name": "id",
"type": "INTEGER",
"mode": "REQUIRED"
},
{
"name": "source",
"type": "STRING",
"mode": "REQUIRED"
},
{
"name": "currency",
"type": "STRING",
"mode": "REQUIRED"
}
]
},
{
"name": "processed_at",
"type": "TIMESTAMP",
"mode": "REQUIRED",
"description": "bq-datetime"
},
{
"name": "inserted_at",
"type": "TIMESTAMP",
"mode": "REQUIRED",
"description": "bq-datetime"
}
]
}
As you can see the products field is a nested one. What I would like to achieve is an update condition like the following:
UPDATE `dataset.table`
SET processed_at = '2021-04-17T16:07:30.993806'
WHERE processed_at = '1970-01-01T00:00:00' AND products.order_id = 9366054;
And whenever I try to do so, I get the following error
Cannot access field order_id on a value with type ARRAY<STRUCT<name STRING, qty INT64, variant_name STRING, ...>>
I know that to SELECT stuff with the same logic, I can use the UNNEST statement, I am not able to apply this to UPDATE.