Organize Data Into Buckets

To synchronize different sets of data to each user, data is organized into buckets.
Each user can sync a number of buckets (up to 1,000), and each bucket defines a set of tables and rows to sync.
This is defined using two queries:
  1. 1.
    Select bucket parameters from a user ID and/or other parameters (parameter queries)
  2. 2.
    Select data in the bucket using the bucket parameters (data queries)
An example:
# Select parameters for the bucket, using the current user_id
parameters: SELECT token_parameters.user_id as user_id
# Select data rows using the parameters above
- SELECT * FROM lists WHERE owner_id = bucket.user_id
Note: Table names within sync rules must match the names defined in the client-side schema.