Name | n3_chennan_CS_dengju_gzlight_com |
---|---|
Data | 58.70M (+ 0B) |
Tables | 3 (+ 0) |
Columns | 24 (+ 0) |
Table Rows | 271,127 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
这个灯具数据库中有217个分类下的135,455个灯具产品信息。每个灯具中包含有品牌,型号,联系人,电话,传真,地址,邮编,邮箱和手机。该灯具产品数据库共有3个表。
This lamps and lanterns database contains 135,455 products with title, brand, model, contact, telephone number, fax number, address, zip code, email and mobile phone in each. All these lamps and lanterns are typed into 217 categories, such as crystal lamp, dining lamp, glass lamp, Chinese lamp/new Chinese lamp, resin lamp and etc. There are 3 tables in the whole lamps and lanterns data set.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
category_1_x_dengju | 135,455 | dengju_id |
100%
|
category_1_id |
100%
|
||
dengju | 135,455 | chanpin_pinpai |
82.53%
|
shouji |
77.29%
|
||
youxiang |
82.51%
|
||
youbian |
63.93%
|
||
dizhi |
82.51%
|
||
chuanzhen |
68.98%
|
||
dianhua |
82.51%
|
||
lianxiren |
82.53%
|
||
xinghao |
100%
|
||
title |
99.99%
|
||
category_1 | 217 | title |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 58.70M (+ 0B) | 3 (+ 0) | 24 (+ 0) | 271,127 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 58.70M (+ 0B) | 3 (+ 0) | 24 (+ 0) | 271,127 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 58.70M (+ 0B) | 3 (+ 0) | 24 (+ 0) | 271,127 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 58.70M (+ 0B) | 3 (+ 0) | 24 (+ 0) | 271,127 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 58.70M (+ 0B) | 3 (+ 0) | 24 (+ 0) | 271,127 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 58.70M (+ 0B) | 3 (+ 0) | 24 (+ 0) | 271,127 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 58.70M (+ 0B) | 3 (+ 0) | 24 (+ 0) | 271,127 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 58.70M (+ 0B) | 3 (+ 0) | 24 (+ 0) | 271,127 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 58.70M (+ 0B) | 3 (+ 0) | 24 (+ 0) | 271,127 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 58.70M (+ 0B) | 3 (+ 0) | 24 (+ 0) | 271,127 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 58.70M (+ 0B) | 3 (+ 0) | 24 (+ 0) | 271,127 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 58.70M (+ 0B) | 3 (+ 0) | 24 (+ 0) | 271,127 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 58.70M (+ 0B) | 3 (+ 0) | 24 (+ 0) | 271,127 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 58.70M (+ 0B) | 3 (+ 0) | 24 (+ 0) | 271,127 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 58.70M (+ 23.05M) | 3 (+ 0) | 24 (+ 0) | 271,127 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 | 35.66M | 3 | 24 | 271,127 | 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.