Changeset 1549dae for docs/P2-RelationalDesign/RelationalDesign.md
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docs/P2-RelationalDesign/RelationalDesign.md
r0cee8ec r1549dae 1 1 # Relational Design 2 2 3 This page transforms [ERModel](../P1-ConceptualModel/ERModel.md) **v05** into 4 relations. Every relation below corresponds to exactly one entity set of the 5 model, and every foreign key corresponds to exactly one relationship, so the 6 two diagrams can be compared box for box and line for line (see 7 [Relational diagram](#relational-diagram)). 8 3 9 ## Descriptive representation of the relational schema 4 10 5 Notation: **bold** = primary key, *italic* = foreign key. 6 7 - **Users**(<u>**id**</u>, username, email, full_name, password_hash, available_balance, invested_balance, created_at, updated_at) 8 - Candidate keys: `{id}`, `{username}`, `{email}`. `UNIQUE(username)`, `UNIQUE(email)`. 11 Notation: **bold** = primary key, *italic* = foreign key. After each foreign key 12 comes the ER relationship it implements. 13 14 - **Users**(<u>**id**</u>, username, email, full_name, password_hash, available_balance, invested_balance, reserved_balance, created_at, updated_at) 15 - Entity set `Users`. Candidate keys: `{id}`, `{username}`, `{email}`. `UNIQUE(username)`, `UNIQUE(email)`. 9 16 - **Crypto**(<u>**id**</u>, symbol, name, created_at) 10 - Candidate keys: `{id}`, `{symbol}`. `UNIQUE(symbol)`. 11 - **Markets**(<u>**id**</u>, *crypto_id*, quote_currency, is_active, created_at) 12 - Candidate keys: `{id}`, `{crypto_id, quote_currency}`. `UNIQUE(crypto_id, quote_currency)`. 13 - **Holdings**(<u>**id**</u>, *user_id*, *crypto_id*, quantity, reserved_quantity, avg_price, created_at, updated_at) 14 - Transformation of the M:N relationship `Holds`. Candidate keys: `{id}` and 15 `{user_id, crypto_id}` — the latter is the relationship's own key and is 16 enforced with `UNIQUE(user_id, crypto_id)`. `id` was chosen as PK for 17 consistency with the other relations. 17 - Entity set `Cryptos`. Candidate keys: `{id}`, `{symbol}`. `UNIQUE(symbol)`. 18 - **Markets**(<u>**id**</u>, *crypto_id* [`QuotedOn`], quote_currency, is_active, created_at) 19 - Entity set `Markets`. Candidate keys: `{id}`, `{crypto_id, quote_currency}` 20 (the model's rule "a crypto is quoted at most once per currency"), 21 enforced with `UNIQUE(crypto_id, quote_currency)`. 22 - **Holdings**(<u>**id**</u>, *user_id* [`Holds`], *crypto_id* [`PositionIn`], quantity, reserved_quantity, avg_price, created_at, updated_at) 23 - Entity set `Holdings`. Candidate keys: `{id}` and `{user_id, crypto_id}` 24 (the model's rule "one holding per user and crypto"), enforced with 25 `UNIQUE(user_id, crypto_id)`. 18 26 - `avg_price` is `NOT NULL DEFAULT 0 CHECK (avg_price >= 0)`. 19 27 - `reserved_quantity` is `NOT NULL DEFAULT 0 CHECK (reserved_quantity >= 0 … … 23 31 needed, in `v_portfolio` as `available_quantity` and in the sell path of 24 32 [UseCase0005](../P3-UseCaseModel/UseCase0005.md). See 25 [ERModel](../P1-ConceptualModel/ERModel.md#hold s--users-m--cryptos-n-partial-on-both-sides-with-attributes)33 [ERModel](../P1-ConceptualModel/ERModel.md#holdings) 26 34 for why this mirrors `available_balance`/`invested_balance` on `Users`. 27 - **Orders**(<u>**id**</u>, *user_id*, *market_id*, side, type, status, quantity, price, placed_at, executed_at) 28 - `side ∈ {buy, sell}`, `type ∈ {market, limit}`, `status ∈ {open, executed, cancelled}`. 29 - **Transactions**(<u>**id**</u>, *user_id*, type, amount, currency, *related_order*, created_at, description) 30 - `type ∈ {deposit, buy, sell, fee}`. 31 - **MarketTrades**(<u>**id**</u>, *market_id*, executed_at, price, quantity, side, source) 32 - **MarketCandles**(<u>**id**</u>, *market_id*, timeframe, open, high, low, close, volume, candle_time) 33 - `UNIQUE(market_id, timeframe, candle_time)`. 34 - **Watchlists**(<u>**id**</u>, *user_id*, name, created_at) 35 - **WatchlistItems**(<u>**id**</u>, *watchlist_id*, *crypto_id*, added_at) 36 - Transformation of the M:N relationship `Contains`. Candidate keys: `{id}` 37 and `{watchlist_id, crypto_id}`, the latter enforced with 38 `UNIQUE(watchlist_id, crypto_id)`. 35 - **Orders**(<u>**id**</u>, *user_id* [`Places`], *market_id* [`PlacedOn`], side, type, status, quantity, filled_quantity, price, placed_at, executed_at) 36 - Entity set `Orders`. `side ∈ {buy, sell}`, `type ∈ {market, limit}`, 37 `status ∈ {open, partially_filled, executed, cancelled}`, 38 `0 ≤ filled_quantity ≤ quantity`. 39 - **Transactions**(<u>**id**</u>, *user_id* [`Records`], type, amount, currency, *related_order* [`Settles`], created_at, description) 40 - Entity set `Transactions`. `type ∈ {deposit, buy, sell, fee}`. 41 `related_order` is nullable (see below). 42 - **MarketTrades**(<u>**id**</u>, *market_id* [`Fills`], executed_at, price, quantity, side, source, *buy_order_id* [`FillsBuy`], *sell_order_id* [`FillsSell`]) 43 - Entity set `MarketTrades`. `buy_order_id` and `sell_order_id` are both 44 nullable (see below). 45 - **OrderEvents**(<u>**id**</u>, *order_id* [`Logs`], event_type, quantity, price, status_after, created_at) 46 - Entity set `OrderEvents`. `event_type ∈ {placed, partially_filled, filled, cancelled}`. 47 - **MarketCandles**(<u>**id**</u>, *market_id* [`Aggregates`], timeframe, open, high, low, close, volume, candle_time) 48 - Entity set `MarketCandles`. Candidate keys: `{id}`, `{market_id, timeframe, 49 candle_time}` (the model's rule "one candle per market, timeframe and 50 bucket"), enforced with `UNIQUE(market_id, timeframe, candle_time)`. 51 - **Watchlists**(<u>**id**</u>, *user_id* [`Owns`], name, created_at) 52 - Entity set `Watchlists`. 53 - **WatchlistItems**(<u>**id**</u>, *watchlist_id* [`Contains`], *crypto_id* [`Lists`], added_at) 54 - Entity set `WatchlistItems`. Candidate keys: `{id}` and `{watchlist_id, 55 crypto_id}` (the model's rule "an asset at most once per list"), enforced 56 with `UNIQUE(watchlist_id, crypto_id)`. 39 57 40 58 ### Transformation method used 41 59 42 **Partial transformation.** Applied as follows: 43 44 - Each of the 8 entity sets in [ERModel](../P1-ConceptualModel/ERModel.md) becomes one table, keeping 45 its UUID (or serial) primary key. 46 - Each **1:N relationship without attributes** is transformed by adding the 47 parent's primary key as a foreign-key column on the child table — the "N" 48 side. This is where every foreign key in the schema comes from, and it is why 49 no foreign keys appear in the ER diagram itself: 50 `QuotedOn` → `markets.crypto_id`, `PlacedOn` → `orders.market_id`, 51 `Places` → `orders.user_id`, `Records` → `transactions.user_id`, 52 `Settles` → `transactions.related_order`, `Fills` → `market_trades.market_id`, 53 `Aggregates` → `market_candles.market_id`, `Owns` → `watchlists.user_id`. 54 - Each **M:N relationship** becomes its own table holding the two foreign keys 55 plus the relationship's own attributes: `Holds` → `holdings`, 56 `Contains` → `watchlist_items`. The pair of foreign keys is the relationship's 57 key and is enforced as a `UNIQUE` constraint in both tables. 58 - **Total participation** in the ER model becomes `NOT NULL` on the 59 corresponding foreign key; partial participation stays nullable. `Settles` is 60 partial on both sides, which is exactly why `transactions.related_order` is 61 the one nullable foreign key in the schema — a deposit has no originating 62 order. 60 **Partial transformation.** The model has 11 entity sets and 15 relationships. 61 Every relationship is binary and 1:N with no attributes of its own (the two M:N 62 relationships of earlier versions, `Holds` and `Contains`, were corrected into 63 the entity sets `Holdings` and `WatchlistItems` in v05). The rules: 64 65 - **Each entity set becomes one relation**, with its own attributes and its 66 own key `id` as primary key. 11 entity sets → 11 relations. 67 - **Each 1:N relationship becomes one foreign key** on the relation of the "N" 68 side, pointing to the primary key of the "1" side. No relationship gets its 69 own table, because none is M:N and none has attributes. 15 relationships → 70 15 foreign keys: 71 72 | ER relationship | 1 side → N side | Foreign key | Participation of the N side | `NULL`? | 73 |---|---|---|---|---| 74 | `QuotedOn` | Cryptos → Markets | `markets.crypto_id` | total | `NOT NULL` | 75 | `PlacedOn` | Markets → Orders | `orders.market_id` | total | `NOT NULL` | 76 | `Places` | Users → Orders | `orders.user_id` | total | `NOT NULL` | 77 | `Records` | Users → Transactions | `transactions.user_id` | total | `NOT NULL` | 78 | `Settles` | Orders → Transactions | `transactions.related_order` | partial | nullable | 79 | `Fills` | Markets → MarketTrades | `market_trades.market_id` | total | `NOT NULL` | 80 | `FillsBuy` | Orders → MarketTrades | `market_trades.buy_order_id` | partial | nullable | 81 | `FillsSell` | Orders → MarketTrades | `market_trades.sell_order_id` | partial | nullable | 82 | `Logs` | Orders → OrderEvents | `order_events.order_id` | total | `NOT NULL` | 83 | `Aggregates` | Markets → MarketCandles | `market_candles.market_id` | total | `NOT NULL` | 84 | `Owns` | Users → Watchlists | `watchlists.user_id` | total | `NOT NULL` | 85 | `Holds` | Users → Holdings | `holdings.user_id` | total | `NOT NULL` | 86 | `PositionIn` | Cryptos → Holdings | `holdings.crypto_id` | total | `NOT NULL` | 87 | `Contains` | Watchlists → WatchlistItems | `watchlist_items.watchlist_id` | total | `NOT NULL` | 88 | `Lists` | Cryptos → WatchlistItems | `watchlist_items.crypto_id` | total | `NOT NULL` | 89 90 - **Participation decides `NULL`.** Total participation of the N side means 91 every row must reference a parent, so the foreign key is `NOT NULL`. Partial 92 participation leaves it nullable. There are exactly three partial ones: 93 `Settles` (a deposit has no originating order), and `FillsBuy` / `FillsSell` 94 (a trade against the simulated market has no user order on that side). 95 Partial participation of the **1** side (for example, a user with no orders) 96 needs no column at all. It simply means no row points at that parent. 97 - **Uniqueness rules of the model become `UNIQUE` constraints.** The four 98 rules the model states in words ("a crypto quoted once per currency", "one 99 candle per market, timeframe and bucket", "one holding per user and crypto", 100 "an asset once per list") involve a relationship, so Chen notation cannot 101 draw them as keys. After transformation, the relationship is a foreign-key 102 column, and each rule becomes an ordinary composite `UNIQUE` constraint, i.e. a 103 second candidate key. 104 105 Nothing in the schema comes from anywhere else. Every column is either an ER 106 attribute or the foreign key of one listed relationship. 63 107 64 108 ### Normalisation 65 109 66 > ** Validated in P5.** [Normalization](../P5-Normalization/Normalization.md) derives this67 > exact schema independently — starting only from a single de-normalized relation of every68 > model attribute and its functional dependencies, with no reference to the ER-to-relational69 > transformation below — and shows it decomposes to **BCNF**, one normal form stronger than70 > the 3NF claimed here. The two designs agree relation for relation and key for key, so71 > nothing here changed as a result; see that page's72 > [discussion](../P5-Normalization/Normalization.md#discussion) for what the one real73 > difference is (`avg_price`, a stored derived value, not a normalisation issue) and why this 74 > design is still the one used from P5 onward. 75 76 All relations are in **3NF**:110 > **Checked in P5.** [Normalization](../P5-Normalization/Normalization.md) 111 > starts from a single de-normalized relation containing only the attributes 112 > of the ER model and the functional dependencies that follow from its rules. 113 > It decomposes that relation step by step to BCNF and arrives at these same 11 114 > relations, with one deliberate difference: `transactions.user_id` (see the last 115 > bullet below). The comparison is in the *Discussion* section at the end of that 116 > page. 117 118 All relations except `transactions` are in **BCNF**, as P5 shows. `transactions` 119 is in 2NF but not in 3NF, because of the deliberately kept `user_id` (last 120 bullet): 77 121 78 122 - Every attribute is atomic (no repeating groups, no composite fields). 79 - No partial dependency exists because every primary key is a single UUID column. 80 - No transitive dependency exists: every non-key attribute depends directly on the row identifier. For example, `holdings.quantity` depends on `holdings.id`, not on `user_id` via some intermediate. 123 - No partial dependency exists: every candidate key is either the single 124 column `id` or a composite key (`{user_id, crypto_id}`, …) on which no 125 non-key attribute depends only partially. 126 - No transitive dependency exists, except `transactions.user_id` (last bullet): 127 every other non-key attribute depends directly on the row's own entity, never 128 on another entity reached through a foreign key. 129 For example, `holdings.quantity` depends on `holdings.id`, and nothing about 130 the user or the crypto is copied into `holdings`. 81 131 - `avg_price` in `Holdings` is a **derived value** cached for performance (it is 82 132 the weighted-average entry price across all `buy` transactions for that … … 95 145 ("available") is the derived value here, and it is never stored, only 96 146 computed where it is needed. 147 - `transactions.user_id` is kept **deliberately**, although for an entry that 148 settles an order it repeats that order's user (`related_order → user_id`, a 149 transitive dependency). A deposit has no order (`Settles` is partial), so 150 `user_id` is the only way to record whose deposit it is. For entries with an 151 order, the only code that sets `related_order` (the buy and sell inserts in 152 `advanced_db.sql`) writes both from the same order row. No database 153 constraint enforces this. 97 154 98 155 ### Reservation and the order lifecycle … … 109 166 `SELECT … FOR UPDATE` locking that already protected `users.available_balance` 110 167 on the buy path is what makes two concurrent sell orders against the same 111 holding serialize correctly instead of racing. 168 holding serialize correctly instead of racing. The cash side of a buy order 169 (`users.reserved_balance`), `orders.filled_quantity` and `order_events` were 170 added in P7; see 171 [AdvancedDatabaseDevelopment](../P7-AdvancedDatabaseDevelopment/AdvancedDatabaseDevelopment.md). 112 172 113 173 ## DDL script 114 174 115 The script that creates the entireschema is [`../server/db/schema_creation.sql`](../../server/db/schema_creation.sql). It is idempotent: it drops and recreates the `project` schema every run, so it works on an empty database and on a database that already has the schema.175 The script that creates the schema is [`../server/db/schema_creation.sql`](../../server/db/schema_creation.sql). It is idempotent: it drops and recreates the `project` schema every run, so it works on an empty database and on a database that already has the schema. 116 176 117 177 The script creates: 118 - 10 tableswith check constraints, primary keys, foreign keys and unique constraints.119 - 5performance indexes.178 - 10 of the 11 tables, with check constraints, primary keys, foreign keys and unique constraints. 179 - 8 performance indexes. 120 180 - 2 views: `v_latest_prices` (latest trade price per market) and `v_portfolio` (per-user holdings valuation with unrealised P/L, plus `reserved_quantity` and the derived `available_quantity`). 181 182 The 11th table, `order_events`, is created by 183 [`../server/db/advanced_db.sql`](../../server/db/advanced_db.sql) together with 184 the P7 triggers that fill it. `./eduberza -init` runs both scripts in that 185 order, so a freshly initialised database always has all 11 tables and all 15 186 foreign keys. 121 187 122 188 ## DML script (sample data) … … 132 198 ## Relational diagram 133 199 134  135 136 Generated in **Pgadmin** from the **live** `project` schema, in crow's-foot 137 notation — not drawn by hand, so it is evidence that the deployed database 138 actually matches the design described above. Each box is a table with its 139 columns and declared types; key icons mark primary keys and the arrowed lines 140 are the 12 declared foreign keys. 200  201 202 Generated in **DBeaver** from the **live** `project` schema (after 203 `./eduberza -init`), not drawn by hand, so it shows what the deployed database 204 actually contains. Each box is a table with its columns; the key icon marks the 205 primary key, and the lines are the 15 declared foreign keys. The two foreign keys from 206 `market_trades` to `orders` (`buy_order_id`, `sell_order_id`) connect the same 207 two boxes, so DBeaver draws them on top of each other as one line. 208 209 The tables are arranged in the **same positions** as the entity sets in 210 `ERModel_v05.png`, so the two can be compared directly: 211 212 - every rectangle of the ER diagram is one table in the same place; 213 - every diamond of the ER diagram is one foreign-key line between the same two 214 boxes. The dot is on the referencing ("N") table, next to the foreign-key 215 column; 216 - a double (total) line in the ER diagram is a `NOT NULL` foreign key, drawn by 217 DBeaver as a solid line. The three single lines on the N side (`Settles`, 218 `FillsBuy`, `FillsSell`) are the three nullable foreign keys, which DBeaver 219 draws dashed, with a hollow diamond on the `orders` side. The table under 220 [Transformation method used](#transformation-method-used) lists all 15. 221 222 Earlier images (`relational_schema.jpg`, `relational_schema_v2.png`, 223 `relational_schema_v3.png`) were exported from pgAdmin, with a different layout 224 and from an older schema. They are kept only as history. 141 225 142 226 ### How to regenerate it 143 227 144 **With pgAdmin 4**, if DBeaver is unavailable — it reads the live schema the same 145 way, so the result is equivalent in substance: 146 147 1. Connect to the project database. 148 2. Right-click the database → **ERD For Database** (or open a blank ERD and drag 149 the `project` tables in). 150 3. Arrange the tables to mirror `ERModel_v03.png`. 151 4. **Download image** → PNG, then convert: 152 `convert relational_schema.png relational_schema.jpg` 153 228 1. Initialise the database: `./eduberza -init` (runs `schema_creation.sql` and 229 `advanced_db.sql`, so `order_events` is included). 230 2. In DBeaver, connect to the project database and expand 231 *Schemas → project → Tables*. 232 3. Select all 11 tables → right-click → **View Diagram** (or create a new ER 233 diagram and drag the tables in). 234 4. Drag each table to the position of its entity set in `ERModel_v05.png`: 235 236 ``` 237 column 1 column 2 column 3 column 4 238 row 1 watchlist_items crypto markets market_candles 239 row 2 watchlists holdings . market_trades 240 row 3 users . orders . 241 row 4 . transactions order_events . 242 ``` 243 244 Leave the empty cells (`.`) empty. They are where the relationship 245 diamonds are in the ER diagram, so the foreign-key lines will run through 246 the same gaps. 247 248 5. Right-click the canvas → **Export diagram** → PNG, saved as 249 `relational_diagram_v4.png` in this folder.
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