blocks|key|2602632|text|有几种方法可以“翻页”TSQL结果；请参阅：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2602633|2602634|How+to+return+a+page+of+results+from+SQL?|unordered-list-item|offset|length|2602635|2602636|and|2602637|SQL+performance:+WHERE+vs+WHERE(ROW_NUMBER)|2602638|2602639|这里我将使用CTE方法，如下所示：|2602640|2602641|它使用方便的行号来对结果进行分页，而不是试图跟踪不可预测的因素，例如据报道，creationdate.|style|CODE|2602642|It的执行速度比OFFSET方法更快。|2602643|2602644|因此，该问题的查询变成了this+SEDE+query|2602645|--+StartRow:+Starting+row+for+paging
--+EndRow:+Ending+row+for+paging+(Max+50K+rows+at+a+time)
WITH+allData+AS+(
++++SELECT
++++++++++++++++ROW_NUMBER()+OVER+(ORDER+BY+P.creationdate)+AS+row
++++++++++++++++,+P.id
++++++++++++++++,+P.creationdate
++++++++++++++++,+P.tags
++++++++++++++++,+P.owneruserid
++++++++++++++++,+P.answercount
++++FROM++++++++Posttags++++AS+PT
++++JOIN++++++++Posts+++++++AS+P++++ON+PT.postid+=+P.id
++++WHERE+++++++PT.tagid++++=+3143++--+tag+[scala]
)
SELECT++++++*
FROM++++++++allData
WHERE+++++++row++++>=+##StartRow:INT?1##
AND+++++++++row++++<=+##EndRow:INT?50000##
ORDER+BY++++row|code-block|syntax|javascript|2602646|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/questions/10190/how-to-return-a-page-of-results-from-sql|1|https://stackoverflow.com/questions/3212692/sql-performance-where-vs-whererow-number|2|https://data.stackexchange.com/stackoverflow/query/887590/paging-through-large-data-sets?StartRow=1&EndRow=50000^0|0|0|0|15|0|0|0|0|0|17|1|0|0|0|0|12|C|0|8|6|0|0|C|F|2|0|0^^$0|@$1|2|3|4|5|6|7|1G|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|1H|8|@]|9|@]|A|$]]|$1|C|3|D|5|E|7|1I|8|@]|9|@$F|1J|G|1K|1|1L]]|A|$]]|$1|H|3|-4|5|6|7|1M|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|1N|8|@]|9|@]|A|$]]|$1|K|3|L|5|E|7|1O|8|@]|9|@$F|1P|G|1Q|1|1R]]|A|$]]|$1|M|3|-4|5|6|7|1S|8|@]|9|@]|A|$]]|$1|N|3|O|5|6|7|1T|8|@]|9|@]|A|$]]|$1|P|3|-4|5|6|7|1U|8|@]|9|@]|A|$]]|$1|Q|3|R|5|E|7|1V|8|@$F|1W|G|1X|S|T]]|9|@]|A|$]]|$1|U|3|V|5|E|7|1Y|8|@$F|1Z|G|20|S|T]]|9|@]|A|$]]|$1|W|3|-4|5|6|7|21|8|@]|9|@]|A|$]]|$1|X|3|Y|5|6|7|22|8|@]|9|@$F|23|G|24|1|25]]|A|$]]|$1|Z|3|10|5|11|7|26|8|@]|9|@]|A|$12|13]]|$1|14|3|-4|5|6|7|27|8|@]|9|@]|A|$]]]|15|$16|$5|17|18|19|A|$1A|1B]]|1C|$5|17|18|19|A|$1A|1D]]|1E|$5|17|18|19|A|$1A|1F]]]]

There are a few ways to "page" through TSQL results; see:

<ul>
<li><a href="https://stackoverflow.com/questions/10190/how-to-return-a-page-of-results-from-sql">How to return a page of results from SQL?</a> 
and</li>
<li><a href="https://stackoverflow.com/questions/3212692/sql-performance-where-vs-whererow-number">SQL performance: WHERE vs WHERE(ROW_NUMBER)</a></li>
</ul>

Here I will use the CTE method as:

<ul>
<li>It uses convenient row numbers to page through results, rather than trying to track less predictable factors such as <code>creationdate</code>.</li>
<li>It reportedly performs faster than the <code>OFFSET</code> method.</li>
</ul>

So, that question's query becomes <a href="https://data.stackexchange.com/stackoverflow/query/887590/paging-through-large-data-sets?StartRow=1&amp;EndRow=50000" rel="nofollow noreferrer">this SEDE query</a>:

<pre><code>-- StartRow: Starting row for paging
-- EndRow: Ending row for paging (Max 50K rows at a time)
WITH allData AS (
 SELECT
 ROW_NUMBER() OVER (ORDER BY P.creationdate) AS row
 , P.id
 , P.creationdate
 , P.tags
 , P.owneruserid
 , P.answercount
 FROM Posttags AS PT
 JOIN Posts AS P ON PT.postid = P.id
 WHERE PT.tagid = 3143 -- tag [scala]
)
SELECT *
FROM allData
WHERE row &gt;= ##StartRow:INT?1##
AND row &lt;= ##EndRow:INT?50000##
ORDER BY row
</code></pre>

Using <a href="https://data.stackexchange.com/stackoverflow/query/875322" rel="nofollow noreferrer">data explorer</a> to create queries:

<pre><code>SELECT P.id, creationdate,tags,owneruserid,answercount
--SELECT DISTINCT TAGNAME ,TAGID
FROM TAGS AS T
JOIN POSTTAGS AS PT
ON T.ID = PT.TAGID
JOIN POSTS AS P
ON PT.POSTID = P.ID
--WHERE CAST(P.TAGS AS VARCHAR) IN('JAVA')
WHERE PT.TAGID = 3143
</code></pre>

How is it possible to add pagination in the query in order to take not only the first 50,000 results, but then run the query again to take the next remaining results?

How to paginate Stack Exchange Data Explorer (SEDE) results?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

文章

问答

视频

学习中心

腾讯云实验室

直播

竞赛

腾讯云代码分析专区

腾讯iOA零信任安全管理系统专区

腾讯云架构师技术同盟交流圈

腾讯云数据库专区

腾讯云顾问专区

腾讯云原生专区

腾讯混元专区

腾讯云TCE专区

腾讯云Lighthouse专区

腾讯云HAI专区

腾讯云Edgeone专区

腾讯云存储专区

腾讯云智能专区

腾讯轻联专区 

腾讯云开发专区

TAPD专区

腾讯轻量云游戏服专区

腾讯云最具价值专家

腾讯云架构师技术同盟

腾讯云创作之星

腾讯云开发者先锋

腾讯云代码助手

云原生构建

TAPD 敏捷项目管理

Cloud Studio

SDK中心

API中心

命令行工具

涵盖代码开发、场景应用、自动测试全流程，助你从零构建专属AI助手

一站式MCP教程库，解锁AI应用新玩法

使用创建查询：SELECT P.id, creationdate,tags,owneruserid,answercount--SELECT DISTINCT TAGNAME ,TAGIDFROM TAGS  AS TJOIN POSTTAGS AS PTON T.ID = PT.TAGIDJOIN POSTS AS P...

如何对Stack Exchange Data Explorer (SEDE)结果进行分页？-腾讯云开发者社区-腾讯云

问如何对Stack Exchange Data Explorer (SEDE)结果进行分页？
EN

社区

活动

圈层

关于

腾讯云开发者

热门产品

热门推荐

更多推荐

问如何对Stack Exchange Data Explorer (SEDE)结果进行分页？EN

社区

活动

圈层

关于

腾讯云开发者

热门产品

热门推荐

更多推荐

问如何对Stack Exchange Data Explorer (SEDE)结果进行分页？
EN