Data schema description | Tarantool
Tarantool
Check out the new release policy
Concepts Data model Data schema description

Data schema description

In Tarantool, the use of a data schema is optional.

When creating a space, you do not have to define a data schema. In this case, the tuples store random data. This rule does not apply to indexed fields. Such fields must contain data of the same type.

You can define a data schema when creating a space. Read more in the description of the box.schema.space.create() function. If you have already created a space without specifying a data schema, you can do it later using space_object:format().

After the data schema is defined, all the data is validated by type. Before any insert or update, you will get an error if the data types do not match.

We recommend using a data schema because it helps avoid mistakes.

In Tarantool, you can define a data schema in two different ways.

The code file is usually called init.lua and contains the following schema description:

box.cfg()

users = box.schema.create_space('users', { if_not_exists = true })
users:format({{ name = 'user_id', type = 'number'}, { name = 'fullname', type = 'string'}})

users:create_index('pk', { parts = { { field = 'user_id', type = 'number'}}})

This is quite simple: when you run tarantool, it executes this code and creates a data schema. To run this file, use:

tarantool init.lua

However, it may seem complicated if you do not plan to dive deep into the Lua language and its syntax.

Possible difficulty: the snippet above has a function call with a colon: users:format. It is used to pass the users variable as the first argument of the format function. This is similar to self in object-based languages.

So it might be more convenient for you to describe the data schema with YAML.

The DDL module allows you to describe a data schema in the YAML format in a declarative way.

The schema would look something like this:

spaces:
  users:
    engine: memtx
    is_local: false
    temporary: false
    format:
    - {name: user_id, type: uuid, is_nullable: false}
    - {name: fullname, type: string,  is_nullable: false}
    - {name: bucket_id, type: unsigned, is_nullable: false}
    indexes:
    - name: user_id
      unique: true
      parts: [{path: user_id, type: uuid, is_nullable: false}]
      type: HASH
    - name: bucket_id
      unique: false
      parts: [{path: bucket_id, type: unsigned, is_nullable: false}]
      type: TREE
    sharding_key: [user_id]
    sharding_func: test_module.sharding_func

This alternative is simpler to use, and you do not have to dive deep into Lua.

DDL is a built-in Cartridge module. Cartridge is a cluster solution for Tarantool. In its WebUI, there is a separate tab called “Code”. On this tab, in the schema.yml file, you can define the schema, check its correctness, and apply it to the whole cluster.

If you do not use Cartridge, you can still use the DDL module: put the following Lua code into the file that you use to run Tarantool. This file is usually called init.lua.

local yaml = require('yaml')
local ddl = require('ddl')

box.cfg{}

local fh = io.open('ddl.yml', 'r')
local schema = yaml.decode(fh:read('*all'))
fh:close()
local ok, err = ddl.check_schema(schema)
if not ok then
    print(err)
end
local ok, err = ddl.set_schema(schema)
if not ok then
    print(err)
end

Warning

It is forbidden to modify the data schema in DDL after it has been applied. For migration, there are different scenarios described below.

Found what you were looking for?
Feedback