Name | n3zm_ChengYuDaQuan_chengyu_911cha_com |
---|---|
Data | 4.28M (+ 0B) |
Tables | 3 (+ 0) |
Columns | 32 (+ 0) |
Table Rows | 6,685 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 19:57:45 (+ 169 d) |
这是一个包含有3,331个成语数据库。每个成语记录中有成语解释,出处,用法,例子,成语故事,英语翻译,拼音,成语繁体,成语简拼,成语拼音,常用程度,近义词,反义词等。整个成语信息数据库共有3个表。
This is an idoms database having 3,331 records with explanation, origin, usage, example, idiom story, English translation, pinyin, idiom traditional style, idiom simplified pinyin, idiom pinyin, common level, synonyms, antonyms and etc. in each. The whole idoms database totally has 3 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
category_1 | 23 | title |
100%
|
category_1_x_chengyu | 3,331 | category_1_id |
100%
|
chengyu_id |
100%
|
||
chengyu | 3,331 | title |
100%
|
chengyujieshi |
99.88%
|
||
chengyuchuchu |
97.63%
|
||
chengyuyongfa |
98.86%
|
||
chengyulizi |
90.03%
|
||
chengyugushi |
100%
|
||
yingyufanyi |
80.67%
|
||
pinyin |
100%
|
||
chengyufanti |
76.58%
|
||
chengyujianpin |
100%
|
||
chengyupinyin |
100%
|
||
changyongchengdu |
100%
|
||
chengyuzishu |
100%
|
||
ganqingsecai |
99.07%
|
||
chengyujiegou |
100%
|
||
chengyuniandai |
99.07%
|
||
jinyici |
84.42%
|
||
fanyici |
51.61%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 4.28M (+ 0B) | 3 (+ 0) | 32 (+ 0) | 6,685 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 4.28M (+ 0B) | 3 (+ 0) | 32 (+ 0) | 6,685 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 4.28M (+ 0B) | 3 (+ 0) | 32 (+ 0) | 6,685 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 4.28M (+ 0B) | 3 (+ 0) | 32 (+ 0) | 6,685 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 4.28M (+ 0B) | 3 (+ 0) | 32 (+ 0) | 6,685 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 4.28M (+ 0B) | 3 (+ 0) | 32 (+ 0) | 6,685 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 4.28M (+ 0B) | 3 (+ 0) | 32 (+ 0) | 6,685 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 4.28M (+ 0B) | 3 (+ 0) | 32 (+ 0) | 6,685 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 4.28M (+ 0B) | 3 (+ 0) | 32 (+ 0) | 6,685 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 4.28M (+ 0B) | 3 (+ 0) | 32 (+ 0) | 6,685 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 4.28M (+ 0B) | 3 (+ 0) | 32 (+ 0) | 6,685 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 4.28M (+ 0B) | 3 (+ 0) | 32 (+ 0) | 6,685 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 4.28M (+ 0B) | 3 (+ 0) | 32 (+ 0) | 6,685 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 4.28M (+ 0B) | 3 (+ 0) | 32 (+ 0) | 6,685 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 | 4.28M | 3 | 32 | 6,685 | 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.