Name | n3a2_pjob_net |
---|---|
Data | 15.53M (+ 0B) |
Tables | 8 (+ 0) |
Columns | 43 (+ 0) |
Table Rows | 48,929 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 19:07:11 (+ 169 d) |
招聘数据库包含有来自中国35个省份1,313家企业提供的7,990个就业岗位。每个招聘信息包含有标题,职位描述,工作地区,学历要求,薪资,发布时间等重要字段。该中国招聘信息数据库共有8个表。
The recruitment database contains 7,990 jobs and 1,313 companies from 35 provinces in China. Each job is comprised of title, job description, job area, education requirements, salary, release time, etc. It has 8 tables in this China jobs database.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
company | 1,313 | title |
100%
|
gong_si_jie_shao |
0%
|
||
company_x_job | 7,990 | company_id |
100%
|
job_id |
100%
|
||
fu_li | 24 | title |
100%
|
job | 7,990 | title |
100%
|
zhi_wei_miao_shu |
99.76%
|
||
job_area |
100%
|
||
salary |
100%
|
||
salary_from |
38.29%
|
||
salary_to |
38.29%
|
||
salary_unit |
38.29%
|
||
gong_zuo_jing_yan |
97.08%
|
||
xue_li_yao_qiu |
100%
|
||
fa_bu_shi_jian |
100%
|
||
zhi_wei_lei_bie |
91.36%
|
||
lian_xi_ren |
3.62%
|
||
2.1%
|
|||
telephone |
2.93%
|
||
job_x_fu_li | 23,421 | job_id |
100%
|
fu_li_id |
100%
|
||
province | 35 | title |
100%
|
province_x_job | 8,156 | province_id |
100%
|
job_id |
100%
|
Size (Bytes) | Files |
---|---|
0P | 0 |
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 15.53M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 15.53M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 15.53M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 15.53M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 15.53M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 15.53M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 15.53M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 15.53M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 15.53M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 15.53M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 15.53M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 15.53M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 15.53M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 15.53M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 15.53M (- 3.22M) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 18.75M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 18.75M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 18.75M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 18.75M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 (+ 31 d) | 18.75M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-05-10 (+ 28 d) | 18.75M (+ 0B) | 8 (+ 0) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-04-11 (+ 38 d) | 18.75M (+ 32K) | 8 (+ 1) | 43 (+ 0) | 48,929 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-03-03 | 18.72M | 7 | 43 | 48,929 | 0B | 0 |
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