Skip to content
/ ddl Public

The DDL module enables you to describe data schema in a declarative YAML-based format.

License

Notifications You must be signed in to change notification settings

tarantool/ddl

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Coverage Status

DDL

DDL module for Tarantool 1.10+

The DDL module enables you to describe data schema in a declarative YAML-based format. It is a simpler alternative to describing data schema in Lua and doesn't require having a deep knowledge of Lua. DDL is a built-in Cartridge module. See more details about Tarantool's data mode in documementation.

Contents

API

Set spaces format

`ddl.set_schema(schema)`
- If no spaces existed before, create them.
- If a space exists, check the space's format and indexes.
- If the format/indexes are different from those in the database,
  return an error.
- The module doesn't drop or alter any indexes.
- Spaces omitted in the DDL are ignored, the module doesn't check them.

Return values: `true` if no error, otherwise return `nil, err`

Call of function ddl.set_schema(schema) creates a space _ddl_sharding_key with two fields: space_name with type string and sharding_key with type array.

Similarly for sharding_func: call of function ddl.set_schema(schema) creates a space _ddl_sharding_func with three fields: space_name, sharding_func_name and sharding_func_body with type string.

If you want to use sharding function from some module, you need to require and set to _G the module with sharding function first. For example: to use sharding functions like vshard.router.bucket_id_strcrc32 and vshard.router.bucket_id_mpcrc32 from vshard module you need to require vshard module.

Also, you can pass your own sharding function by defining the function name in _G or by specifying lua code directly in body field:

sharding_func = {
  body = 'function(key) return <...> end'
}

Your defined sharding function in _G should have type function or table | cdata | userdata with __call metamethod.

Defined function must have a prototype according to the following rules:

Parameters

key (number | table | string | boolean) – a sharding key.

Return value

bucket identifier (number)

Check compatibility

`ddl.check_schema(schema)`
- Check that a `set_schema()` call will raise no error.

Return values: `true` if no error, otherwise return `nil, err`

Get spaces format

`ddl.get_schema()`
- Scan spaces and return the database schema.

Return values: table with space's schemas (see "Schema example")

Get bucket id

`ddl.bucket_id(space_name, sharding_key)`
- Calculate bucket id for a specified space and sharding key.
Method uses sharding function specified in DDL schema.

Method is not transactional in the sense that it catches up
`_ddl_sharding_func` changes immediatelly: it may see changes that're
not committed yet and may see a state from another transaction,
which should not be visible in the current transaction.

Return values: bucket_id if no error, otherwise return `nil, err`

Input data format

format = {
    spaces = {
        [space_name] = {
            engine = 'vinyl' | 'memtx',
            is_local = true | false,
            temporary = true | false,
            format = {
                {
                    name = '...',
                    is_nullable = true | false,
                    type = 'unsigned' | 'string' | 'varbinary' |
                            'integer' | 'number' | 'boolean' |
                            'array' | 'scalar' | 'any' | 'map' |
                            'decimal' | 'double' | 'uuid' | 'datetime' |
                            'interval'
                },
                ...
            },
            indexes = {
                -- array of index parameters
                -- integer keys are used as index.id
                -- index parameters depend on the index type
                {
                    type = 'TREE'|'HASH',
                    name = '...',
                    unique = true|false, -- hash index is always unique
                    parts = {
                        -- array of part parameters
                        {
                            path = field_name.jsonpath,
                            -- may be multipath if '[*]' is used,
                            type = 'unsigned' | 'string' | 'varbinary' |
                                'integer' | 'number' | 'boolean' | 'scalar' |
                                'decimal' | 'double' | 'uuid' | 'datetime',
                            is_nullable = true | false,
                            collation = nil | 'none' |
                                'unicode' | 'unicode_ci' | '...',
                            -- collation must be set, if and only if
                            -- type == 'string'.
                            -- to see full list of collations
                            -- just run box.space._collation:select()
                        }
                    },
                    sequence = '...', -- sequence_name
                    function = '...', -- function_name
                }, {
                    type = 'RTREE',
                    name = '...',
                    unique = false, -- rtree can't be unique
                    parts = {
                        -- array with only one part parameter
                        {
                            path = field_name.jsonpath,
                            type = 'array',
                            -- rtree index must use array field
                            is_nullable = true|false,
                        }
                    },
                    dimension = number,
                    distance = 'euclid'|'manhattan',
                }, {
                    type = BITSET,
                    name = '...',
                    unique = false, -- bitset index can't be unique
                    parts = {
                        -- array with only one part parameter
                        {
                            path = field_name.jsonpath,
                            type = 'unsigned' | 'string',
                            -- bitset index doesn't support any other
                            -- field types
                            is_nullable = true|false,
                        }
                    },
                },
                ...
            },
            sharding_key = nil | {
                -- array of strings (field_names)
                --
                -- sharded space must have:
                -- field: {name = 'bucket_id', is_nullable = false, type = 'unsigned'}
                -- index: {
                --     name = 'bucket_id',
                --     type = 'TREE',
                --     unique = false,
                --     parts = {{path = 'bucket_id', is_nullable = false, type = 'unsigned'}}
                -- }
                --
                -- unsharded spaces must NOT have
                -- field and index named 'bucket_id'
            },
            sharding_func = 'dot.notation' | 'sharding_func_name_defined_in_G'
                            {body = 'function(key) return <...> end'},
        },
        ...
    },
    functions = { -- Not implemented yet
        [function_name] = {
            body = '...',
            is_deterministic = true|false,
            is_sandboxed = true|false,
            is_multikey = true|false,
        },
        ...
    },
    sequences = {
        [sequence_name] = {
            start = start,
            min = min,
            max = max,
            cycle = cycle,
            cache = cache,
            step = step,
        },
    },
}

Schema example

local schema = {
    spaces = {
        customer = {
            engine = 'memtx',
            is_local = false,
            temporary = false,
            format = {
                {name = 'customer_id', is_nullable = false, type = 'unsigned'},
                {name = 'bucket_id', is_nullable = false, type = 'unsigned'},
                {name = 'fullname', is_nullable = false, type = 'string'},
            },
            indexes = {{
                name = 'customer_id',
                type = 'TREE',
                unique = true,
                parts = {
                    {path = 'customer_id', is_nullable = false, type = 'unsigned'}
                }
            }, {
                name = 'bucket_id',
                type = 'TREE',
                unique = false,
                parts = {
                    {path = 'bucket_id', is_nullable = false, type = 'unsigned'}
                }
            }, {
                name = 'fullname',
                type = 'TREE',
                unique = true,
                parts = {
                    {path = 'fullname', is_nullable = false, type = 'string'}
                }
            }},
            sharding_key = {'customer_id'},
        },
        account = {
            engine = 'memtx',
            is_local = false,
            temporary = false,
            format = {
                {name = 'account_id', is_nullable = false, type = 'unsigned'},
                {name = 'customer_id', is_nullable = false, type = 'unsigned'},
                {name = 'bucket_id', is_nullable = false, type = 'unsigned'},
                {name = 'balance', is_nullable = false, type = 'string'},
                {name = 'name', is_nullable = false, type = 'string'},
            },
            indexes = {{
                name = 'account_id',
                type = 'TREE',
                unique = true,
                parts = {
                    {path = 'account_id', is_nullable = false, type = 'unsigned'}
                }
            }, {
                name = 'customer_id',
                type = 'TREE',
                unique = false,
                parts = {
                    {path = 'customer_id', is_nullable = false, type = 'unsigned'}
                }
            }, {
                name = 'bucket_id',
                type = 'TREE',
                unique = false,
                parts = {
                    {path = 'bucket_id', is_nullable = false, type = 'unsigned'}
                }
            }},
            sharding_key = {'customer_id'},
            sharding_func = 'vshard.router.bucket_id_mpcrc32',
        },
        tickets = {
            engine = 'memtx',
            is_local = false,
            temporary = false,
            format = {
                {name = 'ticket_id', is_nullable = false, type = 'unsigned'},
                {name = 'customer_id', is_nullable = false, type = 'unsigned'},
                {name = 'bucket_id', is_nullable = false, type = 'unsigned'},
                {name = 'contents', is_nullable = false, type = 'string'},
            },
            indexes = {{
                name = 'ticket_id',
                type = 'TREE',
                unique = true,
                parts = {
                    {path = 'ticket_id', is_nullable = false, type = 'unsigned'}
                },
                sequence = 'ticket_seq',
            }, {,
                name = 'customer_id',
                type = 'TREE',
                unique = false,
                parts = {
                    {path = 'customer_id', is_nullable = false, type = 'unsigned'}
                }
            }, {
                name = 'bucket_id',
                type = 'TREE',
                unique = false,
                parts = {
                    {path = 'bucket_id', is_nullable = false, type = 'unsigned'}
                }
            }},
            sharding_key = {'customer_id'},
            sharding_func = 'vshard.router.bucket_id_mpcrc32',
        },
    },
    sequences = {
        ticket_seq = {
            start = 1,
            min = 1,
            max = 10000,
            cycle = false,
        },
    },
}

Building and testing

tt rocks make
tt rocks install luatest 0.5.7
tt rocks install luacheck 0.25.0
make test -C build.luarocks ARGS="-V"