You are not logged in. Your edit will be placed in a queue until it is peer reviewed.
We welcome edits that make the post easier to understand and more valuable for readers. Because community members review edits, please try to make the post substantially better than how you found it, for example, by fixing grammar or adding additional resources and hyperlinks.
Required fields*
- 7I actually ran into this problem when building out extremely dynamic queries. I had left in an INNER JOIN that I was using and not pulling data from, and when I switched it to a LEFT JOIN (out of shear curiosity) the query actually ran faster.Erik Philips– Erik Philips2012-06-06 17:44:48 +00:00Commented Jun 6, 2012 at 17:44
- 1EDIT - Clarified the conditions that must exist for the optimizer to drop the outer joined table from the execution plan.dbenham– dbenham2012-12-04 20:43:33 +00:00Commented Dec 4, 2012 at 20:43
- 2One minor clarification to your answer: When the foreign key column is non-nullable, the INNER JOIN and the LEFT JOIN become semantically equivalent (i.e. your suggested WHERE clause is redundant); the only difference would be the execution plan.Douglas– Douglas2014-09-18 05:31:06 +00:00Commented Sep 18, 2014 at 5:31
- 3Although this shows a seemingly trivial example indeed, this is an extraordinarily insightful answer!pbalaga– pbalaga2015-05-05 08:30:09 +00:00Commented May 5, 2015 at 8:30
- 11+1: I seem to have run into this on a few queries where I was using inner joins with some very large tables. The inner join was causing a spill into tempdb in the query plan (I assume for the reason stated above -- and my server lacking the RAM to hold everything in memory). Switching to left joins eliminated the spill to tempdb, result being that some of my 20-30 second queries now run in fractions of a second. This is a very important gotcha seeing as most people seem to make the blanket assumption that inner joins are faster.phosplait– phosplait2016-09-13 03:16:03 +00:00Commented Sep 13, 2016 at 3:16
| Show 3 more comments
How to Edit
- Correct minor typos or mistakes
- Clarify meaning without changing it
- Add related resources or links
- Always respect the author’s intent
- Don’t use edits to reply to the author
How to Format
- create code fences with backticks ` or tildes ~ ```
like so
``` - add language identifier to highlight code ```python
def function(foo):
print(foo)
``` - put returns between paragraphs
- for linebreak add 2 spaces at end
- _italic_ or **bold**
- indent code by 4 spaces
- backtick escapes
`like _so_` - quote by placing > at start of line
- to make links (use https whenever possible) <https://example.com>[example](https://example.com)<a href="https://example.com">example</a>
How to Tag
A tag is a keyword or label that categorizes your question with other, similar questions. Choose one or more (up to 5) tags that will help answerers to find and interpret your question.
- complete the sentence: my question is about...
- use tags that describe things or concepts that are essential, not incidental to your question
- favor using existing popular tags
- read the descriptions that appear below the tag
If your question is primarily about a topic for which you can't find a tag:
- combine multiple words into single-words with hyphens (e.g. python-3.x), up to a maximum of 35 characters
- creating new tags is a privilege; if you can't yet create a tag you need, then post this question without it, then ask the community to create it for you
lang-sql