该招聘数据库共有17个表，其中工作岗位记录有2,231,020条数据记录，所有这些岗位是由中国来自360个城市的711,046个企业提供的。这些企业来自46大行业。在工作岗位记录表中每条数据包含有岗位名称，薪资，工作地点，工作经验，受教育程度，招聘数量，工作时间，岗位描述，职位，年龄，地址及联系人。在公司注册表中共有232,319个公司注册记录，每条记录中包含有注册代码，建立时间，公司代码，注册机构，条款，状态，注册地，注册资本，产权登记，范围等字段。该岗位招聘数据库按照职位有两个分类，其中一级分类中有48个记录，二级分类中有824记录。该招聘数据库数据量大，结构严谨，字段多。
请注意：该数据库动态性较强，所以可以根据用户需求提供更新。
In this recruitment database, there are 2,231,020 records with title, salary, location, experience, education, quantity, time, description, position, age, contact & address in each. All these jobs are offered by 711,046 companies from 46 industries and 232,319 companies are registered. In this jobs database, all jobs records are grouped by 48 positions and further classified with 824 sub-categories.
In table company register, there are code, establishment, company code, term, register organization, status, register location, register capital, register property, range and company id in each. It also comes with 19 welfare in this jobs database. All jobs are from 360 popular cities in China.
The whole China jobs database has 17 tables.
Please NOTE: These data are more dynamic so it can be updated as your needs.
| Name | n3_lyz_ganji.com |
|---|---|
| Data | 6.22G (- 44.14M) |
| Tables | 17 (+ 0) |
| Columns | 97 (+ 0) |
| Table Rows | 19,759,762 (+ 0) |
| Media | 1.40G (+ 0B) |
| Files | 1,914,789 (+ 0) |
Data Samples
- By Table / Main (Desktop) / JSON / XML / Excel / CSV (Download)
- By Table / Main (Desktop) / JSON / XML / Excel / CSV (Download)
Database APIs
- http://n3.datasn.io/data/api/v1/n3_lyz/china_employ_information_of_company_1/ (By Table)
- http://n3.datasn.io/data/api/v1/n3_lyz/china_employ_information_29/ (By Table)
Media Files
- telephone_image Bytes: 1.40G / Files: 1,914,789
Tables & Columns
| Tables | Rows | Columns | Non-empty |
|---|---|---|---|
| category_position_1 | 48 | title |
100%
|
| category_position_2 | 824 | title |
100%
|
| category_position_1_id |
100%
|
||
| city | 360 | city |
100%
|
| city_x_category_position_2 | 295,816 | city_id |
100%
|
| category_position_2_id |
100%
|
||
| city_x_category_position_2_x_job | 2,235,029 | city_x_category_position_2_id |
100%
|
| job_id |
100%
|
||
| company | 711,046 | title |
100%
|
| description |
39.03%
|
||
| type |
91.48%
|
||
| szie |
87.06%
|
||
| web |
12.76%
|
||
| size |
4.43%
|
||
| address |
0%
|
||
| company_b | 711,046 | title |
100%
|
| description |
39.03%
|
||
| type |
91.48%
|
||
| szie |
87.06%
|
||
| web |
12.76%
|
||
| size |
4.43%
|
||
| address |
0%
|
||
| company_register | 232,319 | code |
81.53%
|
| establishment |
99.83%
|
||
| company_code |
81.98%
|
||
| term |
43.7%
|
||
| register_organization |
98.86%
|
||
| status |
99.9%
|
||
| registre_location |
98.69%
|
||
| registre_capital |
75.41%
|
||
| registre_property |
98.61%
|
||
| range |
98.78%
|
||
| company_id |
100%
|
||
| company_x_industry_city | 869,971 | company_id |
100%
|
| industry_city_id |
100%
|
||
| industry | 46 | industry |
97.83%
|
| industry_city | 662 | city |
99.85%
|
| industry_city_x_industry | 13,711 | industry_city_id |
100%
|
| industry_id |
100%
|
||
| job | 2,231,020 | title |
100%
|
| salary |
100%
|
||
| location |
100%
|
||
| experience |
100%
|
||
| education |
100%
|
||
| quanlity |
100%
|
||
| time |
100%
|
||
| description |
88.04%
|
||
| position |
87.55%
|
||
| age |
88.04%
|
||
| address |
88.02%
|
||
| contactor |
84.68%
|
||
| job_x_company | 2,230,905 | job_id |
100%
|
| company_id |
100%
|
||
| job_x_welfare | 10,226,940 | job_id |
100%
|
| welfare_id |
100%
|
||
| welfare | 19 | title |
100%
|
Notes:
- Meta columns id and ts are not shown here, but included in columns total.
- Some statistical or memo columns are not shown here, but included in columns total.
- Non-empty percentage indicates the percent of values that are non-empty for that particular column.
Media Sets
TELEPHONE_IMAGE
| Size (Bytes) | Files |
|---|---|
| 1.40G | 1,914,789 |
