Table Scan, Index Scan, Index Seek



table scan  is where the table is processed row by row from beginning to end.

An index scan  is where the index is processed row by row from beginning to end.

If the index is a clustered index then an index scan is really a table scan .

When you see an index scan on a clustered index that is actually a table scan; since the root of the clustered index is the table.

Scan means it has to run the entire object,  seeks  will make specific hits into the index/table .

 

What is the difference between a table and index scan in an execution plan?

Question

When I create a graphical query execution plan of a query, I notice that there are two types of scans: Table Scans and Index Scans. How are these different?

Answer 

When the Query Optimizer is asked to optimize a query and create an execution plan for it, it tries its best to use an Index Seek. An Index Seek means that the Query Optimizer was able to find a useful index in order to locate the appropriate records. As you probably know, indexes make data retrieval in SQL Server very fast.

But when the Query Optimizer is not able to perform an Index Seek, either because there is no indexes or no useful indexes available, then SQL Server has to scan all the records, looking for all the records that meet the requirements of the query.

There are two types of scans the SQL Server can perform. When a Table Scan is performed, all the records in a table are examined, one by one. For large tables, this can take a long time. But for very small tables, a table scan can actually be faster than an Index Seek . So if you see that SQL Server has performed a Table Scan, take a note of how many rows are in the table. If there aren't many, then in this case, a Table Scan is a good thing.

When an Index Scan is performed, all the rows in the leaf level of the index are scanned. What does this mean? Essentially, this means that all of the rows of the table or the index are examined instead of the table directly. Sometimes, the Query Optimizer determines that an Index Scan is more efficient than a Table Scan, so one is performed, although the performance difference between them is generally not much.

You might ask that if there is an index available, why can't an Index Seek be performed? In some cases, such as if a huge quantity of rows need to be returned, it is faster to do an Index Scan than an Index Seek . Or it may be because the index is not selective enough. In any case, the Query Optimizer doesn't think the available index is useful, other than for performing an Index Scan.

So what does all this mean from an analysis standpoint? Generally speaking, an Index Scan or an Index Seek is almost the same thing, from a performance perspective. If you see any one of these in a query execution plan, the first thing you need to do is to see if there are few rows in the table. If so, then a scan is OK. Or, if many rows are being returned, then a scan is often faster than an Index Seek, and the Query Optimizer made the correct choice of selecting a scan . The only way to speed up this particular situation would be to find a way to rewrite the query in order to return fewer rows, assuming this is possible.

If the above two reasons don't apply, then your next step would be to try to identify useable indexes to help speed the performance of the query, assuming that the current performance of the query is unacceptable, so that an Index Seek is performed instead of an Index or Table Scan.

   


 原文地址 http://www.cnblogs.com/rockniu/archive/2009/11/05/1596509.html
<think>好的,我需要帮助用户确定如何检查SQL执行计划是否使用了索引,并分析TABLE SCAN和SCALAR GROUP BY的行为。首先,我应该回忆一下数据库执行计划的基本知识,特别是关于索引的部分。 用户提到TABLE SCAN,这通常是指全表扫描,也就是没有使用索引的情况,对吧?这时候数据库会逐行扫描整个表,效率可能较低。而如果使用了索引,执行计划中可能会显示Index Seek或Clustered Index Seek之类的操作,这说明数据库通过索引定位数据,效率更高。记得引用中有提到Clustered Index SeekIndex Seek的区别,可能需要引用[2]和[4]。 接下来,用户还提到SCALAR GROUP BY,这可能是指没有GROUP BY子句但使用了聚合函数的情况,比如SELECT COUNT(*) FROM table。这时候优化器可能会采用不同的处理方式,比如引用[1]中的例子,优化器改写了关联子查询,使用了HASH RIGHT OUTER JOIN和MERGE GROUP BY。这说明即使没有显式的GROUP BY,优化器也可能进行分组操作,这时候需要看执行计划中的具体算子,比如MERGE GROUP BY或HASH GROUP BY。 那如何具体检查执行计划是否使用索引呢?不同的数据库系统有不同的方法。比如在SQL Server中可以使用SET SHOWPLAN_XML ON,或者图形化的执行计划。在MySQL中可能用EXPLAIN关键字。用户提到的引用中有提到强制使用索引的方法,引用[3]中的例子,这可能是在SQL Server中通过WITH (INDEX=IndexName)来强制使用特定索引。需要指出不同数据库的方法可能不同,但核心是查看执行计划中的运算符。 需要分步骤回答用户的问题:首先确定执行计划的获取方式,然后分析其中的运算符,如Table Scan表示全表扫描,而Index Seek表示使用索引。对于SCALAR GROUP BY,需要结合是否有聚合函数和GROUP BY子句来分析,可能涉及GROUP BY算子或优化器的改写,如引用[1]中的情况。 还要注意是否需要区分聚集索引和非聚集索引,引用[4]提到Clustered Index SeekIndex Seek的不同,这可能影响性能。同时,如果执行计划中出现Key Lookup,可能意味着书签查找,这会影响效率,可能需要覆盖索引来优化。 最后,生成相关问题时要围绕执行计划、索引使用、优化策略等方面展开,帮助用户进一步深入理解。</think>### 如何确定 SQL 执行计划中是否使用索引? #### 1. **获取 SQL 执行计划** 不同数据库获取执行计划的方法略有差异: - **SQL Server**:使用 `SET SHOWPLAN_TEXT ON` 或图形化界面直接查看执行计划。 - **MySQL**:使用 `EXPLAIN` 关键字,例如: ```sql EXPLAIN SELECT * FROM table WHERE column = 1; ``` - **Oracle**:使用 `EXPLAIN PLAN FOR` 结合 `SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY)`。 #### 2. **分析执行计划中的运算符** - **索引使用**: - **Table Scan**:表示全表扫描(未使用索引),效率较低[^4]。 - **Index Seek**:表示通过索引定位数据(非聚集索引),效率高[^2][^4]。 - **Clustered Index Seek**:表示通过聚集索引定位数据,适用于主键或聚集索引列的查询。 - **Key Lookup**:表示通过索引找到行后,需回表查询其他列(可能需优化为覆盖索引)[^2]。 - **未使用索引的典型表现**: - 执行计划中出现 `Table Scan` 或 `Clustered Index Scan`(全表或全索引扫描)。 - 性能较差,尤其是大表查询时响应时间明显增加。 #### 3. **强制使用索引(调试用)** 在 SQL 语句中可通过语法强制指定索引,例如 SQL Server 中: ```sql SELECT * FROM table WITH (INDEX(index_name)) WHERE column = 1; ``` 此方法用于验证索引是否有效,但需谨慎使用[^3]。 --- ### **TABLE SCAN 与 SCALAR GROUP BY 的行为分析** #### 1. **TABLE SCAN** - **行为**:逐行扫描整个表,不依赖索引。 - **触发条件**: - 查询条件未命中索引。 - 表数据量小,优化器认为全表扫描更快。 - 统计信息过期导致优化器误判。 - **性能影响**:数据量大时性能显著下降。 #### 2. **SCALAR GROUP BY** - **定义**:当查询包含聚合函数(如 `COUNT`、`SUM`)但无 `GROUP BY` 子句时,优化器可能隐式执行分组操作。 - **行为分析**: - 若聚合列有索引,优化器可能使用 `Index Scan` 或 `Index Seek` 加速计算。 - 若涉及子查询,可能被改写为 `HASH JOIN` 或 `MERGE GROUP BY`(如引用中的例子,子查询结果先分组统计)[^1]。 - **示例**: ```sql SELECT COUNT(*) FROM orders WHERE customer_id > 10; ``` 若 `customer_id` 有索引,可能触发 `Index Seek`;否则触发 `Table Scan`。 --- ### **优化建议** 1. **定期更新统计信息**,确保优化器选择正确执行计划。 2. **添加覆盖索引**:包含查询中所有需要的列,避免回表操作。 3. **检查索引碎片**,避免索引效率下降。 ---
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