| Name | n3_chennan_CS_qipei_ec0724_com |
|---|---|
| Data | 250.45M (+ 0B) |
| Tables | 4 (+ 0) |
| Columns | 29 (+ 0) |
| Table Rows | 58,861 (+ 0) |
| Media | 4.14M (+ 0B) |
| Files | 300 (+ 0) |
| Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
在这个汽车配件信息数据库中共有4个表。在汽车配件表中包含有29,087个汽车配件记录，每个记录中有产品简介，发布时间，公司，品牌，型号，规格，单价，起订，供货总量，所在地，有效期，浏览次数，联系人和地址。 所有这些汽车配件被分为34个类别。
In the auto parts database, there are 29,087 records by 34 categories. Each auto part is comprised of product profile, release time, company, brand, model, specification, unit price, mini order, total supply volume, location, period of validity, views, contact and address. The whole auto parts and accessories data set has 4 tables in total.
| Tables | Rows | Columns | Non-empty |
|---|---|---|---|
| qiche_peijian | 29,087 | lianxiren |
67.99%
|
| chanpin_jianjie |
66.86%
|
||
| fabu_shijian |
100%
|
||
| gongsi |
100%
|
||
| pinpai |
62.72%
|
||
| xinghao |
57.96%
|
||
| guige |
57.42%
|
||
| danjia |
67.99%
|
||
| qiding |
16.39%
|
||
| gonghuo_zongliang |
56.11%
|
||
| suozaidi |
67.99%
|
||
| youxiaoqi |
67.99%
|
||
| liulan_cishu |
67.99%
|
||
| dizhi |
60.54%
|
||
| title |
99.99%
|
||
| category_1 | 34 | title |
100%
|
| category_1_x_qiche_peijian | 29,740 | category_1_id |
100%
|
| qiche_peijian_id |
100%
|
| Size (Bytes) | Files |
|---|---|
| 4.14M | 300 |
| Time | Data | Tables | Columns | Rows | Media | Files |
|---|---|---|---|---|---|---|
| 2023-06-19 (+ 169 d) | 250.45M (+ 0B) | 4 (+ 0) | 29 (+ 0) | 58,861 (+ 0) | 4.14M (+ 0B) | 300 (+ 0) |
| 2023-01-01 (+ 95 d) | 250.45M (+ 0B) | 4 (+ 0) | 29 (+ 0) | 58,861 (+ 0) | 4.14M (+ 0B) | 300 (+ 0) |
| 2022-09-27 (+ 271 d) | 250.45M (+ 0B) | 4 (+ 0) | 29 (+ 0) | 58,861 (+ 0) | 4.14M (+ 0B) | 300 (+ 0) |
| 2021-12-30 (+ 115 d) | 250.45M (+ 0B) | 4 (+ 0) | 29 (+ 0) | 58,861 (+ 0) | 4.14M (+ 0B) | 300 (+ 0) |
| 2021-09-05 (+ 150 d) | 250.45M (+ 0B) | 4 (+ 0) | 29 (+ 0) | 58,861 (+ 0) | 4.14M (+ 0B) | 300 (+ 0) |
| 2021-04-08 (+ 68 d) | 250.45M (+ 0B) | 4 (+ 0) | 29 (+ 0) | 58,861 (+ 0) | 4.14M (+ 0B) | 300 (+ 0) |
| 2021-01-29 (+ 120 d) | 250.45M (+ 0B) | 4 (+ 0) | 29 (+ 0) | 58,861 (+ 0) | 4.14M (+ 0B) | 300 (+ 0) |
| 2020-10-01 (+ 38 d) | 250.45M (+ 0B) | 4 (+ 0) | 29 (+ 0) | 58,861 (+ 0) | 4.14M (+ 0B) | 300 (+ 0) |
| 2020-08-23 (+ 141 d) | 250.45M (+ 0B) | 4 (+ 0) | 29 (+ 0) | 58,861 (+ 0) | 4.14M (+ 0B) | 300 (+ 0) |
| 2020-04-04 (+ 196 d) | 250.45M (+ 0B) | 4 (+ 0) | 29 (+ 0) | 58,861 (+ 0) | 4.14M (+ 0B) | 300 (+ 0) |
| 2019-09-21 (+ 197 d) | 250.45M (- 8.62M) | 4 (+ 0) | 29 (+ 0) | 58,861 (+ 0) | 4.14M (- 0.27G) | 300 (- 19,437) |
| 2019-03-07 (+ 43 d) | 259.08M (+ 0B) | 4 (+ 0) | 29 (+ 0) | 58,861 (+ 0) | 281.99M (+ 0B) | 19,737 (+ 0) |
| 2019-01-23 (+ 44 d) | 259.08M (+ 0B) | 4 (+ 0) | 29 (+ 0) | 58,861 (+ 0) | 281.99M (+ 0B) | 19,737 (+ 0) |
| 2018-12-09 (+ 29 d) | 259.08M (+ 0B) | 4 (+ 0) | 29 (+ 0) | 58,861 (+ 0) | 281.99M (+ 0B) | 19,737 (+ 0) |
| 2018-11-09 (+ 27 d) | 259.08M (+ 232.27M) | 4 (+ 0) | 29 (+ 0) | 58,861 (+ 0) | 281.99M (+ 0B) | 19,737 (+ 0) |
| 2018-10-13 (+ 29 d) | 26.81M (+ 9.64M) | 4 (+ 1) | 29 (+ 0) | 58,861 (+ 0) | 281.99M (+ 281.99M) | 19,737 (+ 19,737) |
| 2018-09-13 | 17.17M | 3 | 29 | 58,861 | 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.
