Crates.io | charybdis-migrate |
lib.rs | charybdis-migrate |
version | 0.7.9 |
source | src |
created_at | 2023-11-24 14:15:44.676852 |
updated_at | 2024-11-25 14:02:53.820873 |
description | Automatic Migration Tool for Charybdis ORM |
homepage | |
repository | https://github.com/nodecosmos/charybdis |
max_upload_size | |
id | 1047039 |
size | 84,997 |
As of 0.4.13
UDT fields must be in the same order as they are in the database. This is due to
scylla driver limitation that does not support named bind values. Earlier versions would
automatically order fields by name, but this is no longer the case as ORM could not work with
exiting UDTs.
charybdis-migrate
tool that enables automatic migration to database without need to write
migrations by hand. It iterates over project files and generates migrations based on differences
between model definitions and database.
cargo install charybdis-migrate
migrate --hosts <host> --keyspace <your_keyspace> --drop-and-replace (optional)
charybdis-migrate
enables automatic migration to database without need to write migrations by
hand.
It expects src/models
files and generates migrations based on differences between model
definitions and database.
It supports following operations:
Create new tables
Create new columns
Drop columns
Change field types (drop and recreate column --drop-and-replace
flag)
Create secondary indexes
Drop secondary indexes
Create UDTs
Create materialized views
Table options
#[charybdis_model(
table_name = commits,
partition_keys = [object_id],
clustering_keys = [created_at, id],
table_options = r#"
CLUSTERING ORDER BY (created_at DESC)
AND gc_grace_seconds = 86400
"#
)]
#[derive(Serialize, Deserialize, Default)]
pub struct Commit {...}
⚠️ If table exists, table options will result in alter table query that without
CLUSTERING ORDER
and COMPACT STORAGE
options.
Model dropping is not added. If you removed model, you need to drop table manually.
⚠️ If you are working with existing datasets, before running migration you need to make sure
that your **model
**
definitions structure matches the database in respect to table names, column names, column types,
partition keys,
clustering keys and secondary indexes so you don't alter structure accidentally.
If structure is matched, it will not run any migrations. As mentioned above,
in case there is no model definition for table, it will not drop it. In future,
we will add modelize
command that will generate src/models
files from existing data source.
If we have model:
#[charybdis_model(
table_name = users,
partition_keys = [id],
clustering_keys = [],
global_secondary_indexes = [username]
)]
resulting query will be: CREATE INDEX ON users (username);
Indexes that are scoped to the partition key
#[charybdis_model(
table_name = menus,
partition_keys = [location],
clustering_keys = [name, price, dish_type],
global_secondary_indexes = [],
local_secondary_indexes = [dish_type]
)]
resulting query will be: CREATE INDEX ON menus((location), dish_type);
use charybdis::macros::charybdis_model;
use charybdis::types::{Text, Timestamp, Uuid};
#[charybdis_model(
table_name = users,
partition_keys = [id],
clustering_keys = [],
global_secondary_indexes = [username],
local_secondary_indexes = [],
)]
pub struct User {
pub id: Uuid,
pub username: Text,
pub email: Text,
pub created_at: Timestamp,
pub updated_at: Timestamp,
pub address: Address,
}
use charybdis::macros::charybdis_udt_model;
use charybdis::types::Text;
#[charybdis_udt_model(type_name = address)]
pub struct Address {
pub street: Text,
pub city: Text,
pub state: Option<Text>,
pub zip: Text,
pub country: Text,
}
use charybdis::macros::charybdis_view_model;
use charybdis::types::{Text, Timestamp, Uuid};
#[charybdis_view_model(
table_name=users_by_username,
base_table=users,
partition_keys=[username],
clustering_keys=[id]
)]
pub struct UsersByUsername {
pub username: Text,
pub id: Uuid,
pub email: Text,
pub created_at: Timestamp,
pub updated_at: Timestamp,
}
Resulting auto-generated migration query will be:
CREATE MATERIALIZED VIEW IF NOT EXISTS users_by_email
AS SELECT created_at, updated_at, username, email, id
FROM users
WHERE email IS NOT NULL AND id IS NOT NULL
PRIMARY KEY (email, id)