The Eager Spool logical operator will consume the entire input, storing each row in a hidden temporary object stored in the tempdb database. If the operator is rewound (for example, by a Nested

For SQL Server 2005: 1 Clustered Index + 249 Nonclustered Index = 250 For SQL Server There are two types of spool operations, eager spool and lazy spool.

Eager Spools may be added for a variety of reasons, including for Halloween Protection, or to optimize I/O when maintaining nonclustered indexes. Without seeing (even a picture of) the execution plan, it is hard to be certain which of these scenarios might apply in your particular case. The whole purpose of the Eager Spool is to force retrieving all the rows from @oriopr that will be used to insert new rows in @oriopr and save them in a temporary space before any new rows are inserted. This temporary pseudo table is then used to do the inserts. Eager spools are also inferior to lazy spools. I don't have any solid tips for making your eagers turn into lazies, but the concept of working with only a small amount of data at once and putting it all the way through the pipeline suggests an alternate method: Batch your work into smaller pieces of 1000 or 10000 rows at once.

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It then 2012-06-21 · I will go into details of Eager spool, Lazy Spool and Row Count Spool and we will see an interesting problem- known as the Halloween Problem. In the next post I will talk about the remaining spool operators- Table spool, Non-Clustered Index Spool and Window Spool and few guidelines to avoid spools. 2016-08-19 · 2. Index Spool 3. Row Count Spool 4. Window Spool 5.

Eager index spools can occur on the inner side of Nested Loops joins to reduce the amount of work that needs to be done there, by creating a more opportune index for the loop to work off of. That all sounds very good, but there are some problems: The index gets created single-threaded The way data is loaded into the spool is very inefficient The Index Spool operator is one of the four spool operators that SQL Server supports.

pubs..authors" it does not cause an eager spool. Here is one example that I have encountered. The optimizer must seek on a predicate, the proper index does not exist or the statistics are out of date. The optimizer chooses to do a clustered index scan with an index\eager spool to a temporary index (i.e. worktable in tempdb). It then

Output List * Because this property specifies the list of columns to be returned, it is also used to define the columns to be stored in the worktable. Primary Node ID: For consumer mode only, this property references the Node ID property of a Table Spool or Index Spool operator. The Table Index Spool versus Table Spool. The number of estimated rewinds and rebinds for a lazy index spool is the same as for a lazy table spool without sorted apply outer input.

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Multiple threads cooperate to fully scan the test table once. Each thread writes to its own copy of the eager table spool. pubs..authors" it does not cause an eager spool. Here is one example that I have encountered.

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so the first date is 01 jan 2008 then it goes back to using an eager spool and takes 982 seconds, rather than I guess about 60 if it used a clustered index seek. 2012-07-08 · Spool Operators: Index spool and Window spool In my previous article I talked about a few spool operators (Eager Spool, Lazy Spool and Rowcount Spool), now its time to talk about the remaining spool operators that the query optimizer uses to make our queries run faster. Spool Operators: Index spool and Window spool In my previous article I talked about a few spool operators (Eager Spool, Lazy Spool and Rowcount Spool), now it’s time to talk about the remaining spool operators that the query optimizer uses to make our queries run faster. In the case of a normal spool (usually referred to as an 'eager spool' (ES)), when the parent of the spool asks for a row, then the ES asks for ALL of the rows from the operators underneath it. In the case of a lazy spool (LS), the spool only stores the individual rows that are requested by its parent, not all of them.

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In In our example, Eager Spool will read all data from IX_Price then move to tempdb and hence later on UPDATE doesn’t read non-clustered index IX_Price anymore and instead all reads are performed using Eager Spool operator.