Name | n3zm_Zuozhe_shici_fzlol_com |
---|---|
Data | 248.45M (+ 0B) |
Tables | 4 (+ 0) |
Columns | 24 (+ 0) |
Table Rows | 386,462 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 19:57:45 (+ 169 d) |
这是一个古现代诗词和诗人信息数据库,共有来自17,820位诗人的354,851首古诗词。这些诗人来自13个朝代。每位诗人包含有简介和朝代,每首诗包含有内容,分类和作者。该中国古现代诗词及诗人信息数据库共有4个表。
This ancient and modern poems and poets database contains 354,851 poems by 17,820 poets from 13 dynasties in China. Each poet consists of introduction and dynasty, and each poem is comprised of content, author and category. The whole China ancient and modern poetry and poets database totally has 4 tables.
Tables | Rows | Columns | Non-empty |
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author | 17,820 | title |
100%
|
introduction |
100%
|
||
dynasty |
100%
|
||
chaodai | 13 | title |
100%
|
composition | 354,851 | title |
99.99%
|
content |
99.99%
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||
author_id |
100%
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||
category |
55.44%
|
||
composition_comment | 13,778 | title |
98.41%
|
content |
99.98%
|
||
composition_id |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 248.45M (+ 0B) | 4 (+ 0) | 24 (+ 0) | 386,462 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 248.45M (+ 0B) | 4 (+ 0) | 24 (+ 0) | 386,462 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 248.45M (+ 195.36M) | 4 (- 1) | 24 (- 8) | 386,462 (+ 236,136) | 0B (- 1.83M) | 0 (- 265) |
2021-12-30 (+ 115 d) | 53.09M (+ 0B) | 5 (+ 0) | 32 (+ 0) | 150,326 (+ 0) | 1.83M (+ 0B) | 265 (+ 0) |
2021-09-05 (+ 150 d) | 53.09M (+ 0B) | 5 (+ 0) | 32 (+ 0) | 150,326 (+ 0) | 1.83M (+ 0B) | 265 (+ 0) |
2021-04-08 (+ 68 d) | 53.09M (+ 0B) | 5 (+ 0) | 32 (+ 0) | 150,326 (+ 0) | 1.83M (+ 0B) | 265 (+ 0) |
2021-01-29 (+ 120 d) | 53.09M (+ 0B) | 5 (+ 0) | 32 (+ 0) | 150,326 (+ 0) | 1.83M (+ 0B) | 265 (+ 0) |
2020-10-01 (+ 38 d) | 53.09M (+ 0B) | 5 (+ 0) | 32 (+ 0) | 150,326 (+ 0) | 1.83M (+ 0B) | 265 (+ 0) |
2020-08-23 (+ 141 d) | 53.09M (+ 0B) | 5 (+ 0) | 32 (+ 0) | 150,326 (+ 0) | 1.83M (+ 0B) | 265 (+ 0) |
2020-04-04 (+ 196 d) | 53.09M (+ 0B) | 5 (+ 0) | 32 (+ 0) | 150,326 (+ 0) | 1.83M (+ 0B) | 265 (+ 0) |
2019-09-21 (+ 197 d) | 53.09M (+ 0B) | 5 (+ 0) | 32 (+ 0) | 150,326 (+ 0) | 1.83M (+ 0B) | 265 (+ 0) |
2019-03-07 (+ 43 d) | 53.09M (+ 0B) | 5 (+ 0) | 32 (+ 0) | 150,326 (+ 0) | 1.83M (+ 0B) | 265 (+ 0) |
2019-01-23 (+ 44 d) | 53.09M (+ 0B) | 5 (+ 0) | 32 (+ 0) | 150,326 (+ 0) | 1.83M (+ 0B) | 265 (+ 0) |
2018-12-09 (+ 29 d) | 53.09M (+ 0B) | 5 (+ 0) | 32 (+ 0) | 150,326 (+ 0) | 1.83M (+ 0B) | 265 (+ 0) |
2018-11-09 (+ 27 d) | 53.09M (+ 17.09M) | 5 (+ 0) | 32 (+ 0) | 150,326 (+ 0) | 1.83M (+ 0B) | 265 (+ 0) |
2018-10-13 (+ 30 d) | 36M (+ 0B) | 5 (+ 0) | 32 (+ 0) | 150,326 (+ 0) | 1.83M (+ 0B) | 265 (+ 0) |
2018-09-13 (+ 34 d) | 36M (+ 0B) | 5 (+ 0) | 32 (+ 0) | 150,326 (+ 0) | 1.83M (+ 0B) | 265 (+ 0) |
2018-08-09 (+ 27 d) | 36M (+ 0B) | 5 (+ 0) | 32 (+ 0) | 150,326 (+ 0) | 1.83M (+ 0B) | 265 (+ 0) |
2018-07-12 (+ 31 d) | 36M (+ 0B) | 5 (+ 0) | 32 (+ 0) | 150,326 (+ 0) | 1.83M (+ 0B) | 265 (+ 0) |
2018-06-10 | 36M | 5 | 32 | 150,326 | 1.83M | 265 |
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