To improve performance of sequential read operations on large tables, eliminate repeated sequential scans.
Sequential access to a table other than the first table in the plan is ominous because it threatens to read every row of the table once for every row selected from the preceding tables. You should be able to judge how many times that is: perhaps a few, but perhaps hundreds or even thousands.
If the table is small, it is harmless to read it repeatedly because the table resides completely in memory. Sequential search of an in-memory table can be faster than searching the same table through an index, especially if maintaining those index pages in memory pushes other useful pages out of the buffers.
When the table is larger than a few pages, however, repeated sequential access produces poor performance. One way to prevent this problem is to provide an index to the column that is used to join the table.
Any user with the Resource privilege can build additional indexes. Use the CREATE INDEX statement to make an index.
An index consumes disk space proportional to the width of the key values and the number of rows. (See Estimating Index Pages.) Also, the database server must update the index whenever rows are inserted, deleted, or updated; the index update slows these operations. If necessary, you can use the DROP INDEX statement to release the index after a series of queries, which frees space and makes table updates easier.
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