PostgreSQL · Pagila
rental
- Source rows
- 16,044
- Synthetic rows
- 16,044
- Broken foreign keys
- 0
- Rows equal to a source row
- 0%
References: customer_id → customerinventory_id → inventorystaff_id → staff
Rows
Both databases, first rows by primary key, in one table: scrolling sideways moves them together. Rows at the same position are unrelated, unless the table holds kept reference data. Long values are cut at 60 characters.
| rental_id key | rental_date | inventory_id | customer_id | return_date | staff_id | last_update |
|---|---|---|---|---|---|---|
| Source database · 12 of 16,044 rows | ||||||
| 1 | 2022-05-24 21:53:30+00:00 | 367 | 130 | 2022-05-26 21:04:30+00:00 | 1 | 2022-02-15 21:30:53+00:00 |
| 2 | 2022-05-24 21:54:33+00:00 | 1525 | 459 | 2022-05-28 18:40:33+00:00 | 1 | 2022-02-16 02:30:53+00:00 |
| 3 | 2022-05-24 22:03:39+00:00 | 1711 | 408 | 2022-06-01 21:12:39+00:00 | 1 | 2022-02-16 02:30:53+00:00 |
| 4 | 2022-05-24 22:04:41+00:00 | 2452 | 333 | 2022-06-03 00:43:41+00:00 | 2 | 2022-02-16 02:30:53+00:00 |
| 5 | 2022-05-24 22:05:21+00:00 | 2079 | 222 | 2022-06-02 03:33:21+00:00 | 1 | 2022-02-16 02:30:53+00:00 |
| 6 | 2022-05-24 22:08:07+00:00 | 2792 | 549 | 2022-05-27 00:32:07+00:00 | 1 | 2022-02-16 02:30:53+00:00 |
| 7 | 2022-05-24 22:11:53+00:00 | 3995 | 269 | 2022-05-29 19:34:53+00:00 | 2 | 2022-02-16 02:30:53+00:00 |
| 8 | 2022-05-24 22:31:46+00:00 | 2346 | 239 | 2022-05-27 22:33:46+00:00 | 2 | 2022-02-16 02:30:53+00:00 |
| 9 | 2022-05-24 23:00:40+00:00 | 2580 | 126 | 2022-05-27 23:22:40+00:00 | 1 | 2022-02-16 02:30:53+00:00 |
| 10 | 2022-05-24 23:02:21+00:00 | 1824 | 399 | 2022-05-31 21:44:21+00:00 | 2 | 2022-02-16 02:30:53+00:00 |
| 11 | 2022-05-24 23:09:02+00:00 | 4443 | 142 | 2022-06-02 19:56:02+00:00 | 2 | 2022-02-16 02:30:53+00:00 |
| 12 | 2022-05-24 23:19:27+00:00 | 1584 | 261 | 2022-05-30 04:44:27+00:00 | 2 | 2022-02-16 02:30:53+00:00 |
| Synthetic database · 12 of 16,044 rows | ||||||
| 1 | 2022-04-15 18:26:27+00:00 | 4391 | 303 | 2022-05-25 22:55:21+00:00 | 1 | 2022-02-16 02:30:53+00:00 |
| 2 | 2022-07-13 08:14:43+00:00 | 70 | 595 | 2022-07-14 05:12:43+00:00 | 1 | 2022-02-16 02:30:53+00:00 |
| 3 | 2022-03-23 00:21:53+00:00 | 2289 | 243 | 2022-05-25 22:55:21+00:00 | 1 | 2022-02-16 02:30:53+00:00 |
| 4 | 2022-03-22 06:57:57+00:00 | 953 | 245 | 2022-05-25 22:55:21+00:00 | 2 | 2022-02-16 02:30:53+00:00 |
| 5 | 2022-06-13 12:20:51+00:00 | 3883 | 586 | 2022-06-16 20:09:11+00:00 | 2 | 2022-02-16 02:30:53+00:00 |
| 6 | 2022-04-09 10:56:08+00:00 | 1218 | 212 | 2022-05-25 22:55:21+00:00 | 1 | 2022-02-16 02:30:53+00:00 |
| 7 | 2022-06-20 00:47:54+00:00 | 3845 | 277 | 2022-06-27 21:39:34+00:00 | 1 | 2022-02-16 02:30:53+00:00 |
| 8 | 2022-04-05 10:15:32+00:00 | 54 | 303 | 2022-05-25 22:55:21+00:00 | 2 | 2022-02-16 02:30:53+00:00 |
| 9 | 2022-05-12 20:55:00+00:00 | 3374 | 485 | 2022-05-25 22:55:21+00:00 | 2 | 2022-02-16 02:30:53+00:00 |
| 10 | 2022-04-27 03:46:27+00:00 | 1076 | 477 | 2022-05-25 22:55:21+00:00 | 1 | 2022-02-16 02:30:53+00:00 |
| 11 | 2022-04-13 09:43:06+00:00 | 900 | 475 | 2022-05-25 22:55:21+00:00 | 1 | 2022-02-16 02:30:53+00:00 |
| 12 | 2022-05-20 00:22:52+00:00 | 1462 | 568 | 2022-05-25 22:55:21+00:00 | 1 | 2022-02-16 02:30:53+00:00 |
Column by column
Each figure is computed from all rows of both databases in the same way. S is the source, Y the synthetic copy. Difference runs from 0 (same distribution) to 1 (no overlap): Kolmogorov-Smirnov for numbers and times, total variation for columns with few values. Personal columns are meant to differ, so they show how many values also appear in the source instead. Lyrebird draws names from built-in lists, not from the source, so common names can match.
| Column | Model read it as | How it was generated | Empty | Distinct | Range or length | Most common | Difference |
|---|---|---|---|---|---|---|---|
| rental_idinteger | record key | New key values | S 0% Y 0% | S 16,044 Y 16,044 | S 1 → 16049 Y 1 → 16044 | S — Y — | — |
| rental_datetimestamp with time zone | lifecycle timestamp | Times from the measured distribution | S 0% Y 0% | S 15,815 Y 16,044 | S 2022-02-14 15:16:03+00:00 → 2022-08-23 21:50:12+00:00 Y 2022-02-14 15:16:03+00:00 → 2022-08-03 13:52:51+00:00 | S — Y — | 0.824 KS |
| inventory_idinteger | record key | Foreign key, from the measured relationship | S 0% Y 0% | S 4,580 Y 4,580 | S 1 → 4581 Y 1 → 4581 | S — Y — | 0.004 KS |
| customer_idinteger | record key | Foreign key, from the measured relationship | S 0% Y 0% | S 599 Y 599 | S 1 → 599 Y 1 → 599 | S — Y — | 0.01 KS |
| return_datetimestamp with time zone | lifecycle timestamp | Generated together with related columns | S 1.14% Y 1.14% | S 15,836 Y 4,636 | S 2022-05-25 22:55:21+00:00 → 2022-09-02 01:35:22+00:00 Y 2022-05-25 22:55:21+00:00 → 2022-08-10 11:30:18+00:00 | S — Y — | 0.819 KS |
| staff_idinteger | record key | Foreign key, from the measured relationship | S 0% Y 0% | S 2 Y 2 | S 1 → 2 Y 1 → 2 | S 1 50.1% · 2 49.9% Y 2 50.1% · 1 49.9% | 0.002 KS |
| last_updatetimestamp with time zone | lifecycle timestamp | Times from the measured distribution | S 0% Y 0% | S 3 Y 2 | S 2022-02-15 21:30:53+00:00 → 2022-02-23 09:12:08+00:00 Y 2022-02-16 02:30:53+00:00 → 2022-02-23 09:12:08+00:00 | S 2022-02-16 02:30:53+00:00 100% · 2022-02-15 21:30:53+00:00 0% · 2022-02-23 09:12:08+00:00 0% Y 2022-02-16 02:30:53+00:00 100% · 2022-02-23 09:12:08+00:00 0% | 0 KS |