collectionDef.update()

We recommend you use FSL to create and update user-defined functions (UDFs). See FSL function schema.

Updates a collection definition.

Signature

update(data: { *:Any }) => CollectionDef

Description

The update() method updates a collection definition, represented as a Collection document.

Collection documents have the CollectionDef type and are an FQL version of the FSL collection schema.

Considerations

If a database has staged schema, this method interacts with the database’s staged schema, not the active schema.

You can’t rename a collection while a database has staged schema.

If the database has no staged schema, using this method is equivalent to making an unstaged schema change. Changes are applied immediately to the database’s active schema.

Unstaged schema changes that trigger an index build may result in downtime where the index is not queryable.

Avoid concurrent schema changes

Concurrent unstaged schema changes can cause contended transactions, even if the changes affect different resources. This includes unstaged changes made using:

A schema change triggers a transaction that validates the entire database schema. To avoid errors, do one of the following instead:

Parameters

Parameter Type Required Description

data

Object containing valid Collection document fields.

Yes

The replacement collection definition, represented as a Collection document.

During the update, fields from the object are copied to the document, creating new fields or updating existing fields. The operation is similar to a merge.

Only the fields included in the Object are updated, all other document fields aren’t updated. Fields with nested Objects in the Object are merged with the identically named nested Object in the document.

Return value

Type Description

CollectionDef

Definition for the updated collection, represented as a Collection document.

Examples

Collection.byName("Customer")!.update({
  ttl_days: 15
})
{
  name: "Customer",
  coll: Collection,
  ts: Time("2099-10-03T20:45:53.780Z"),
  history_days: 0,
  fields: {
    name: {
      signature: "String"
    },
    email: {
      signature: "String"
    },
    address: {
      signature: "{ street: String, city: String, state: String, postalCode: String, country: String }"
    }
  },
  wildcard: "Any",
  computed_fields: {
    cart: {
      body: "(customer) => Order.byCustomerAndStatus(customer, \"cart\").first()",
      signature: "Order?"
    },
    orders: {
      body: "(customer) => Order.byCustomer(customer)",
      signature: "Set<Order>"
    }
  },
  indexes: {
    byEmail: {
      terms: [
        {
          field: ".email",
          mva: false
        }
      ],
      values: [
        {
          field: ".email",
          order: "desc",
          mva: false
        },
        {
          field: ".name",
          order: "asc",
          mva: false
        }
      ],
      queryable: true,
      status: "complete"
    },
  },
  ttl_days: 15,
  constraints: [
    {
      unique: [
        {
          field: ".email",
          mva: false
        }
      ],
      status: "active"
    }
  ],
  document_ttls: true,
  migrations: [
    {
      add_wildcard: {}
    }
  ]
}

Is this article helpful? 

Tell Fauna how the article can be improved:
 Visit Fauna's forums or email docs@fauna.com

Thank you for your feedback!