Name | n3_chennan_CS_dianying_v_256_cc |
---|---|
Data | 44.70M (+ 0B) |
Tables | 3 (+ 0) |
Columns | 21 (+ 0) |
Table Rows | 99,750 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
20个分类下的37,385部电影集合。每部电影包含评分,简介,主演,导演,地区和上映时间。这20个分类分别是喜剧,爱情,动作,恐怖,科幻,灾难,剧情,犯罪等。这个电影数据库总共有3个表。
From this movies database, there are 37,385 movies of 20 categories, such as comedy, love, action, terror, science fiction, plot, disaster, crime and etc. Each movie consists of score, brief introduction, main actor, regioin and release time. The whole movies database totally has 3 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
category_1 | 20 | title |
100%
|
category_1_x_dianying | 62,345 | category_1_id |
100%
|
dianying_id |
100%
|
||
dianying | 37,385 | title |
100%
|
pingfen |
63.78%
|
||
jianjie |
99.12%
|
||
zhuyan |
99.76%
|
||
daoyan |
99.77%
|
||
diqu |
100%
|
||
shangying_shijian |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 44.70M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 44.70M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 44.70M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 44.70M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 44.70M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 44.70M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 44.70M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 44.70M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 44.70M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 44.70M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 44.70M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 44.70M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 44.70M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 44.70M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 44.70M (+ 27.05M) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 17.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 17.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 17.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 99,750 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 | 17.66M | 3 | 21 | 99,750 | 0B | 0 |
Contact us for pricing to download the latest commit / release of this database.
In the same time, you can also access this data set via API.
Select a membership plan and sign up. Return to this page, click Online Query to access the API query maker. Create and open an API call to acquire the data.
The scanning and profiling of data size increments are done separately from those of the number of rows.
Subscribe to be notified of major data releases and updates.
STAY IN THE LOOP.