I am trying to use the PubSub Subscription "Write to BigQuery" but am running into an issue with the "REPEATED" column type. the message I get when update the subscription is
Incompatible schema mode for field 'Values': field is REQUIRED in the topic schema, but REPEATED in the BigQuery table schema
My Avro Schema is:
{
"type": "record",
"name": "Avro",
"fields": [
{
"name": "ItemID",
"type": "string"
},
{
"name": "UserType",
"type": "string"
},
{
"name": "Values",
"type": [
{
"type": "record",
"name": "Values",
"fields": [
{
"name": "AttributeID",
"type": "string"
},
{
"name": "AttributeValue",
"type": "string"
}
]
}
]
}
]
}
Input JSON That "Matches" Schema:
{
"ItemID": "Item_1234",
"UserType": "Item",
"Values": {
"AttributeID": "TEST_ID_1",
"AttributeValue": "Value_1"
}
}
my Table looks like:
ItemID | STRING | NULLABLE
UserType | STRING | NULLABLE
Values | RECORD | REPEATED
AttributeID | STRING | NULLABLE
AttributeValue | STRING | NULLABLE
I am able to "Test" and "Validate Schema" and it comes back with a success. Question is, what am I missing on the Avro for the Values node to make it "REPEATED" vs "Required" for subscription to be created.
The issue is that Values is not an array type in your Avro schema, meaning it expects only one in the message, while it is a repeated type in your BigQuery schema, meaning it expects a list of them.
Per Kamal's comment above, this schema works:
{
"type": "record",
"name": "Avro",
"fields": [
{
"name": "ItemID",
"type": "string"
},
{
"name": "UserType",
"type": "string"
},
{
"name": "Values",
"type": {
"type": "array",
"items": {
"name": "NameDetails",
"type": "record",
"fields": [
{
"name": "ID",
"type": "string"
},
{
"name": "Value",
"type": "string"
}
]
}
}
}
]
}
the payload:
{
"ItemID": "Item_1234",
"UserType": "Item",
"Values": [
{ "AttributeID": "TEST_ID_1" },
{ "AttributeValue": "Value_1" }
]
}
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