blocks|key|3295291|text|它们是相同的：BETWEEN是问题中包含两个值(EventDate+>=+'10/15/2009'+and+EventDate+<=+'10/19/2009')的较长语法的简写。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|3295292|在BETWEEN不起作用的地方使用另一种更长的语法，因为不应该包含其中的一个或两个值，例如|3295293|Select+EventId,EventName+from+EventMaster
where+EventDate+>=+'10/15/2009'+and+EventDate+<+'10/19/2009'|code-block|syntax|javascript|3295294|(请注意第二种情况下的<而不是<=。)|3295295|entityMap^0|7|7|O|1J|0|1|7|0|0|B|1|F|2|0^^$0|@$1|2|3|4|5|6|7|Q|8|@$9|R|A|S|B|C]|$9|T|A|U|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|V|8|@$9|W|A|X|B|C]]|D|@]|E|$]]|$1|H|3|I|5|J|7|Y|8|@]|D|@]|E|$K|L]]|$1|M|3|N|5|6|7|Z|8|@$9|10|A|11|B|C]|$9|12|A|13|B|C]]|D|@]|E|$]]|$1|O|3|-4|5|6|7|14|8|@]|D|@]|E|$]]]|P|$]]

They are identical: <code>BETWEEN</code> is a shorthand for the longer syntax in the question that includes both values (<code>EventDate &gt;= '10/15/2009' and EventDate &lt;= '10/19/2009'</code>).
Use an alternative longer syntax where <code>BETWEEN</code> doesn't work because one or both of the values should not be included e.g.
<pre><code>Select EventId,EventName from EventMaster
where EventDate &gt;= '10/15/2009' and EventDate &lt; '10/19/2009'
</code></pre>
(Note <code>&lt;</code> rather than <code>&lt;=</code> in second condition.)

blocks|key|324942|text|它们是一样的。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|324943|需要注意的一件事是，如果您针对日期时间使用此日期，则结束日期的匹配将是一天的开始：|324944|<=+20/10/2009|code-block|syntax|javascript|324945|与以下内容不同：|324946|<=+20/10/2009+23:59:59|324947|(它将与<=+20/10/2009+00:00:00.000相匹配)|offset|length|style|CODE|324948|entityMap^0|0|0|0|0|0|4|Q|0^^$0|@$1|2|3|4|5|6|7|U|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|V|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|W|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|X|8|@]|9|@]|A|$]]|$1|K|3|L|5|F|7|Y|8|@]|9|@]|A|$G|H]]|$1|M|3|N|5|6|7|Z|8|@$O|10|P|11|Q|R]]|9|@]|A|$]]|$1|S|3|-4|5|6|7|12|8|@]|9|@]|A|$]]]|T|$]]

They are the same.

One thing to be careful of, is if you are using this against a DATETIME, the match for the end date will be the beginning of the day:

<pre><code>&lt;= 20/10/2009
</code></pre>

is not the same as:

<pre><code>&lt;= 20/10/2009 23:59:59
</code></pre>

(it would match against <code>&lt;= 20/10/2009 00:00:00.000</code>)

blocks|key|3082279|text|尽管BETWEEN很容易阅读和维护，但我很少推荐使用它，因为它是一个封闭的时间间隔，而且正如前面提到的，这可能是日期的问题-即使没有时间部分。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|3082280|例如，在处理月度数据时，通常比较日期BETWEEN+first+AND+last，但在实践中，这通常更容易编写dt+>=+first+AND+dt+<+next-first+(这也解决了时间部分问题)-因为确定last通常比确定next-first+(减去一天)要长一个步骤。|3082281|此外，另一个问题是需要在正确顺序(即BETWEEN+low+AND+high)中指定下限和上界。|BOLD|3082282|entityMap^0|2|7|0|I|M|1J|V|2X|4|36|A|0|C|4|I|K|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|P|8|@$9|Q|A|R|B|C]|$9|S|A|T|B|C]|$9|U|A|V|B|C]|$9|W|A|X|B|C]]|D|@]|E|$]]|$1|H|3|I|5|6|7|Y|8|@$9|Z|A|10|B|J]|$9|11|A|12|B|C]]|D|@]|E|$]]|$1|K|3|-4|5|6|7|13|8|@]|D|@]|E|$]]]|L|$]]

Although <code>BETWEEN</code> is easy to read and maintain, I rarely recommend its use because it is a closed interval and as mentioned previously this can be a problem with dates - even without time components.

For example, when dealing with monthly data it is often common to compare dates <code>BETWEEN first AND last</code>, but in practice this is usually easier to write <code>dt &gt;= first AND dt &lt; next-first</code> (which also solves the time part issue) - since determining <code>last</code> usually is one step longer than determining <code>next-first</code> (by subtracting a day).

In addition, another gotcha is that lower and upper bounds do need to be specified in the correct order (i.e. <code>BETWEEN low AND high</code>).

blocks|key|3295351|text|通常，这是没有区别的--并不是所有的关系型数据库平台都支持BETWEEN关键字，但是如果是的话，这两个查询应该是相同的。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|3295352|因为它们是相同的，所以在速度或其他方面没有区别-使用对你来说更自然的那个。|3295353|entityMap^0|T|7|0|0^^$0|@$1|2|3|4|5|6|7|J|8|@$9|K|A|L|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|M|8|@]|D|@]|E|$]]|$1|H|3|-4|5|6|7|N|8|@]|D|@]|E|$]]]|I|$]]

Typically, there is no difference - the <code>BETWEEN</code> keyword is not supported on all RDBMS platforms, but if it is, the two queries should be identical.

Since they're identical, there's really no distinction in terms of speed or anything else - use the one that seems more natural to you.

blocks|key|326594|text|正如@marc_s所提到的，@Cloud等人。在封闭的范围内，它们基本上是相同的。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|326595|但任何小数时间值都可能导致闭合范围(大于或等于和less-or-equal)，而不是半开放范围(大于或等于且小于)在最后一个可能的瞬间之后具有终结值的问题。|offset|length|style|BOLD|326596|因此，为了避免查询被重写为：|326597|SELECT+EventId,+EventName
++FROM+EventMaster
+WHERE+(EventDate+>=+'2009-10-15'+AND
++++++++EventDate+<++'2009-10-19')++++/*+<<<==+19th,+not+18th+*/|code-block|syntax|javascript|326598|因为BETWEEN在半开时间间隔内不工作，所以我总是仔细检查使用它的任何日期/时间查询，因为它可能是一个错误。|CODE|326599|entityMap^0|0|O|D|1I|2|0|0|0|2|7|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|U|8|@$D|V|E|W|F|G]|$D|X|E|Y|F|G]]|9|@]|A|$]]|$1|H|3|I|5|6|7|Z|8|@]|9|@]|A|$]]|$1|J|3|K|5|L|7|10|8|@]|9|@]|A|$M|N]]|$1|O|3|P|5|6|7|11|8|@$D|12|E|13|F|Q]]|9|@]|A|$]]|$1|R|3|-4|5|6|7|14|8|@]|9|@]|A|$]]]|S|$]]

As mentioned by @marc_s, @Cloud, et al. they're basically the same for a closed range.

But any fractional time values may cause issues with a closed range (greater-or-equal and less-or-equal) as opposed to a half-open range (greater-or-equal and less-than) with an end value after the last possible instant.

So to avoid that the query should be rewritten as:

<pre><code>SELECT EventId, EventName
 FROM EventMaster
 WHERE (EventDate &gt;= '2009-10-15' AND
 EventDate &lt; '2009-10-19') /* &lt;&lt;&lt;== 19th, not 18th */
</code></pre>

Since <code>BETWEEN</code> doesn't work for half-open intervals I always take a hard look at any date/time query that uses it, since its probably an error.

blocks|key|329971|text|我对BETWEEN有一点偏爱，因为它可以让读者立刻明白，你正在检查一个字段的范围。如果您的表中有类似的字段名称，这一点尤其正确。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|329972|假设我们的表既有transactiondate又有transitiondate，如果我读到|329973|transactiondate+between+...|code-block|syntax|javascript|329974|我立刻知道测试的两端都是反对这一领域的。|329975|如果我读到|329976|transactiondate>='2009-04-17'+and+transactiondate<='2009-04-22'|329977|我必须多花一点时间来确保这两个字段是相同的。|329978|此外，随着查询随着时间的推移而进行编辑，草率的程序员可能会将这两个字段分开。我见过很多这样的查询|329979|where+transactiondate>='2009-04-17'
++and+salestype='A'
++and+customernumber=customer.idnumber
++and+transactiondate<='2009-04-22'|329980|如果他们尝试使用BETWEEN，当然，这将是一个语法错误，并立即修复。|329981|entityMap^0|2|7|0|8|F|P|E|0|0|0|0|0|0|0|0|8|7|0^^$0|@$1|2|3|4|5|6|7|12|8|@$9|13|A|14|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|15|8|@$9|16|A|17|B|C]|$9|18|A|19|B|C]]|D|@]|E|$]]|$1|H|3|I|5|J|7|1A|8|@]|D|@]|E|$K|L]]|$1|M|3|N|5|6|7|1B|8|@]|D|@]|E|$]]|$1|O|3|P|5|6|7|1C|8|@]|D|@]|E|$]]|$1|Q|3|R|5|J|7|1D|8|@]|D|@]|E|$K|L]]|$1|S|3|T|5|6|7|1E|8|@]|D|@]|E|$]]|$1|U|3|V|5|6|7|1F|8|@]|D|@]|E|$]]|$1|W|3|X|5|J|7|1G|8|@]|D|@]|E|$K|L]]|$1|Y|3|Z|5|6|7|1H|8|@$9|1I|A|1J|B|C]]|D|@]|E|$]]|$1|10|3|-4|5|6|7|1K|8|@]|D|@]|E|$]]]|11|$]]

I have a slight preference for <code>BETWEEN</code> because it makes it instantly clear to the reader that you are checking one field for a range. This is especially true if you have similar field names in your table.

If, say, our table has both a <code>transactiondate</code> and a <code>transitiondate</code>, if I read

<pre><code>transactiondate between ...
</code></pre>

I know immediately that both ends of the test are against this one field.

If I read

<pre><code>transactiondate&gt;='2009-04-17' and transactiondate&lt;='2009-04-22'
</code></pre>

I have to take an extra moment to make sure the two fields are the same.

Also, as a query gets edited over time, a sloppy programmer might separate the two fields. I've seen plenty of queries that say something like

<pre><code>where transactiondate&gt;='2009-04-17'
 and salestype='A'
 and customernumber=customer.idnumber
 and transactiondate&lt;='2009-04-22'
</code></pre>

If they try this with a <code>BETWEEN</code>, of course, it will be a syntax error and promptly fixed.

blocks|key|3295385|text|我认为唯一的区别是每个查询的语法糖的数量不同。BETWEEN只是一种巧妙的表达方式，与第二个查询完全相同。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3295386|可能有一些我没有意识到的RDBMS特定的区别，但我真的不这么认为。|3295387|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|F|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|G|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|H|8|@]|9|@]|A|$]]]|E|$]]

I think the only difference is the amount of syntactical sugar on each query. BETWEEN is just a slick way of saying exactly the same as the second query.

There might be some RDBMS specific difference that I'm not aware of, but I don't really think so.

blocks|key|329920|text|从逻辑上讲，根本没有区别。在性能方面，大多数DBMSes上都有-typically+-没有任何区别。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|329921|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

Logically there are no difference at all.
Performance-wise there are -typically, on most DBMSes- no difference at all.

blocks|key|3295594|text|免责声明:下面的一切都只是轶事，直接来自于我的个人经验。我也知道SQL是一种声明式的语言，你不应该在写代码的时候去考虑代码是如何处理的，但是，因为我珍视我的时间，所以我会去考虑。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3295595|有无限个逻辑上等价的语句，但我将考虑三个(Ish)。|3295596|案例1:按标准顺序进行两次比较(评估顺序固定)|3295597|3295598|+A+>=+MinBound和A+<=+MaxBound+|blockquote|3295599|3295600|案例2:语法糖(评估顺序不是由作者选择的)|3295601|MinBound和MaxBound之间的|3295602|+A|3295603|3295604|3295605|案例3:两个按教育顺序的比较(在写入时选择评估顺序)|3295606|3295607|+A+>=+MinBound和A+<=+MaxBound|3295608|3295609|3295610|或|3295611|3295612|+A+<=+MaxBound和A+>=+MinBound|3295613|3295614|3295615|在我的经验中，情况1和情况2在性能上没有任何一致或显著的差异，因为它们是数据集未知的。|3295616|但是，Case+3可以极大地缩短执行时间。具体地说，如果您正在处理一个大型数据集，并且碰巧有一些启发式知识，了解A是否更有可能大于MaxBound或小于MinBound，则可以通过使用Case+3并相应地对比较进行排序来显著缩短执行时间。|offset|length|style|BOLD|3295617|我的一个用例是查询一个大型历史数据集，其中包含特定间隔内的记录的非索引日期。在编写查询时，我将很好地了解在指定间隔之前或之后是否存在更多数据，并可以相应地对比较进行排序。根据数据集的大小、查询的复杂性和第一次比较过滤的记录量，我已经将执行时间缩短了一半。|3295618|entityMap^0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|1K|1|1T|8|24|8|0|0^^$0|@$1|2|3|4|5|6|7|1I|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|1J|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|1K|8|@]|9|@]|A|$]]|$1|F|3|-4|5|6|7|1L|8|@]|9|@]|A|$]]|$1|G|3|H|5|I|7|1M|8|@]|9|@]|A|$]]|$1|J|3|-4|5|6|7|1N|8|@]|9|@]|A|$]]|$1|K|3|L|5|6|7|1O|8|@]|9|@]|A|$]]|$1|M|3|N|5|6|7|1P|8|@]|9|@]|A|$]]|$1|O|3|P|5|I|7|1Q|8|@]|9|@]|A|$]]|$1|Q|3|-4|5|6|7|1R|8|@]|9|@]|A|$]]|$1|R|3|-4|5|6|7|1S|8|@]|9|@]|A|$]]|$1|S|3|T|5|6|7|1T|8|@]|9|@]|A|$]]|$1|U|3|-4|5|6|7|1U|8|@]|9|@]|A|$]]|$1|V|3|W|5|I|7|1V|8|@]|9|@]|A|$]]|$1|X|3|-4|5|6|7|1W|8|@]|9|@]|A|$]]|$1|Y|3|-4|5|6|7|1X|8|@]|9|@]|A|$]]|$1|Z|3|10|5|6|7|1Y|8|@]|9|@]|A|$]]|$1|11|3|-4|5|6|7|1Z|8|@]|9|@]|A|$]]|$1|12|3|13|5|I|7|20|8|@]|9|@]|A|$]]|$1|14|3|-4|5|6|7|21|8|@]|9|@]|A|$]]|$1|15|3|-4|5|6|7|22|8|@]|9|@]|A|$]]|$1|16|3|17|5|6|7|23|8|@]|9|@]|A|$]]|$1|18|3|19|5|6|7|24|8|@$1A|25|1B|26|1C|1D]|$1A|27|1B|28|1C|1D]|$1A|29|1B|2A|1C|1D]]|9|@]|A|$]]|$1|1E|3|1F|5|6|7|2B|8|@]|9|@]|A|$]]|$1|1G|3|-4|5|6|7|2C|8|@]|9|@]|A|$]]]|1H|$]]

Disclaimer: Everything below is only anecdotal and drawn directly from my personal experience. Anyone that feels up to conducting a more empirically rigorous analysis is welcome to carry it out and down vote if I'm. I am also aware that SQL is a declarative language and you're not supposed to have to consider HOW your code is processed when you write it, but, because I value my time, I do.

There are infinite logically equivalent statements, but I'll consider three(ish).

Case 1: Two Comparisons in a standard order (Evaluation order fixed)

<blockquote>
 A >= MinBound AND A &lt;= MaxBound 
</blockquote>

Case 2: Syntactic sugar (Evaluation order is not chosen by author)

<blockquote>
 A BETWEEN MinBound AND MaxBound
</blockquote>

Case 3: Two Comparisons in an educated order (Evaluation order chosen at write time)

<blockquote>
 A >= MinBound AND A &lt;= MaxBound
</blockquote>

Or

<blockquote>
 A &lt;= MaxBound AND A >= MinBound
</blockquote>

In my experience, Case 1 and Case 2 do not have any consistent or notable differences in performance as they are dataset ignorant. 

However, Case 3 can greatly improve execution times. Specifically, if you're working with a large data set and happen to have some heuristic knowledge about whether A is more likely to be greater than the MaxBound or lesser than the MinBound you can improve execution times noticeably by using Case 3 and ordering the comparisons accordingly.

One use case I have is querying a large historical dataset with non-indexed dates for records within a specific interval. When writing the query, I will have a good idea of whether or not more data exists BEFORE the specified interval or AFTER the specified interval and can order my comparisons accordingly. I've had execution times cut by as much as half depending on the size of the dataset, the complexity of the query, and the amount of records filtered by the first comparison.

blocks|key|3295629|text|在这个场景中，col+BETWEEN+...+AND+...和col+<=+...+and+col+>=+...是等效的。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|3295630|3295631|SQL标准还定义了T461+Symmetric+BETWEEN+predicate|3295632|3295633|++::=+NOT+BETWEEN+%7C+SYMMETRIC和|blockquote|3295634|3295635|SQL不支持此功能。|BOLD|3295636|3295637|BETWEEN要求对值进行排序。例如：|3295638|SELECT+1+WHERE+3+BETWEEN+10+AND+1
--+no+rows

<=>

SELECT+1+WHERE+3+>=+10+AND+3+<=+1
--+no+rows|code-block|syntax|javascript|3295639|另一方面：|3295640|SELECT+1+WHERE+3+BETWEEN+SYMMETRIC+1+AND+10;
--+1

SELECT+1+WHERE+3+BETWEEN+SYMMETRIC+10+AND+1
--+1|3295641|它的工作原理与普通的BETWEEN完全相同，但在对比较值进行排序之后。|3295642|3295643|entityMap|0|LINK|mutability|MUTABLE|url|https://docs.microsoft.com/en-us/openspecs/sql_standards/ms-tsqliso02/bd6bdf23-f126-433a-8d36-d8cada8695c1^0|7|N|V|P|0|0|9|W|0|0|0|0|0|3|7|0|0|0|7|0|0|0|0|A|7|0|0^^$0|@$1|2|3|4|5|6|7|1D|8|@$9|1E|A|1F|B|C]|$9|1G|A|1H|B|C]]|D|@]|E|$]]|$1|F|3|-4|5|6|7|1I|8|@]|D|@]|E|$]]|$1|G|3|H|5|6|7|1J|8|@]|D|@$9|1K|A|1L|1|1M]]|E|$]]|$1|I|3|-4|5|6|7|1N|8|@]|D|@]|E|$]]|$1|J|3|K|5|L|7|1O|8|@]|D|@]|E|$]]|$1|M|3|-4|5|6|7|1P|8|@]|D|@]|E|$]]|$1|N|3|O|5|6|7|1Q|8|@$9|1R|A|1S|B|P]]|D|@]|E|$]]|$1|Q|3|-4|5|6|7|1T|8|@]|D|@]|E|$]]|$1|R|3|S|5|6|7|1U|8|@$9|1V|A|1W|B|C]]|D|@]|E|$]]|$1|T|3|U|5|V|7|1X|8|@]|D|@]|E|$W|X]]|$1|Y|3|Z|5|6|7|1Y|8|@]|D|@]|E|$]]|$1|10|3|11|5|V|7|1Z|8|@]|D|@]|E|$W|X]]|$1|12|3|13|5|6|7|20|8|@$9|21|A|22|B|C]]|D|@]|E|$]]|$1|14|3|-4|5|6|7|23|8|@]|D|@]|E|$]]|$1|15|3|-4|5|6|7|24|8|@]|D|@]|E|$]]]|16|$17|$5|18|19|1A|E|$1B|1C]]]]

In this scenario <code>col BETWEEN ... AND ...</code> and <code>col &lt;= ... and col &gt;= ...</code> are equivalent.
<hr />
SQL Standard defines also <a href="https://docs.microsoft.com/en-us/openspecs/sql_standards/ms-tsqliso02/bd6bdf23-f126-433a-8d36-d8cada8695c1" rel="nofollow noreferrer">T461 Symmetric BETWEEN predicate</a>:
<blockquote>
<pre><code> &lt;between predicate part 2&gt; ::=
 [ NOT ] BETWEEN [ ASYMMETRIC | SYMMETRIC ]
 &lt;row value predicand&gt; AND &lt;row value predicand&gt;
</code></pre>
Transact-SQL does not support this feature.
</blockquote>
<code>BETWEEN</code> requires that values are sorted. For instance:
<pre><code>SELECT 1 WHERE 3 BETWEEN 10 AND 1
-- no rows

&lt;=&gt;

SELECT 1 WHERE 3 &gt;= 10 AND 3 &lt;= 1
-- no rows
</code></pre>
On the other hand:
<pre><code>SELECT 1 WHERE 3 BETWEEN SYMMETRIC 1 AND 10;
-- 1

SELECT 1 WHERE 3 BETWEEN SYMMETRIC 10 AND 1
-- 1
</code></pre>
It works exactly as the normal <code>BETWEEN</code> but after sorting the comparison values.
<a href="https://dbfiddle.uk/?rdbms=postgres_12&amp;fiddle=b7106e6e1a0efb5a7086be425d614608" rel="nofollow noreferrer">db&lt;&gt;fiddle demo</a>

In SQL Server 2000 and 2005:

<ul>
<li>what is the difference between these two <code>WHERE</code> clauses?</li>
<li>which one I should use on which scenarios?</li>
</ul>

Query 1:

<pre><code>SELECT EventId, EventName
FROM EventMaster
WHERE EventDate BETWEEN '10/15/2009' AND '10/18/2009'
</code></pre>

Query 2:

<pre><code>SELECT EventId, EventName
FROM EventMaster
WHERE EventDate &gt;='10/15/2009'
 AND EventDate &lt;='10/18/2009'
</code></pre>

(Edit: the second Eventdate was originally missing, so the query was syntactically wrong)

SQL : BETWEEN vs <= and >=

关系型数据库

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在SQL Server 2000和2005中：这两个WHERE子句有什么区别？我应该在哪些场景下使用哪一个？查询1:SELECT EventId, EventNameFROM EventMasterWHERE EventDate BETWEEN '10/15/2009' AND '10/18/2009'查询2:SELECT EventId, EventNameFROM EventMasterWHE

问SQL :在vs <=和>=之间
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回答 10

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