Thrashing occurs when the system must write a dirty page before it can read a requested page, which drastically slows down the system. For optimum performance, always allocate enough free memory to allow the page writers to keep up with the free space demand.
Buffer cache thrashing is similar to system thrashing, and occurs when there are not enough clean buffers available for reads. This causes the same kind of ‘write first then read’ delay in the cache, and can happen when the buffer cache is not large enough to accommodate all of the objects referenced in a query.
To eliminate buffer cache thrashing, you must allocate more memory for the buffer caches. Do not over allocate the buffer caches. Allocating too much memory can induce system thrashing by allocating memory for the database buffer cache. In extreme cases, allocating too much memory can introduce multiple levels of thrashing without solving the buffer cache thrashing problem.
Another more subtle form of buffer cache thrashing can occur in multiuser contexts or when skew or uncertainty caused by query complexity causes the optimizer to choose a HASH algorithm in a circumstance where the HASH object needed to be built with significantly larger number of values than fits in the cache available to the query.
When you set buffer sizes, keep in mind the following trade-off:
If the Sybase IQ buffer cache is too large, the operating system is forced to page as Sybase IQ tries to use all of that memory.
If the Sybase IQ buffer cache is too small, then Sybase IQ thrashes because it cannot fit enough of the query data into the cache.
If you are experiencing dramatic performance problems, you should monitor paging to determine if thrashing is a problem. If so, then reset your buffer sizes as described in “Managing buffer caches”.
If you monitor paging and determine that thrashing is a problem, you can also limit the amount of thrashing during the execution of a statement which includes a query that involves hash algorithms. Adjusting the HASH_THRASHING_PERCENT database option controls the percentage of hard disk I/Os allowed before the statement is rolled back and an error is returned.
The default value of HASH_THRASHING_PERCENT is 10%. Increasing HASH_THRASHING_PERCENT permits more paging to disk before a rollback and decreasing HASH_THRASHING_PERCENT permits less paging before a rollback.
Queries involving hash algorithms that executed in earlier
versions of Sybase IQ may now be rolled back when the default HASH_THRASHING_PERCENT limit
is reached. Sybase IQ reports the error Hash
insert thrashing detected or Hash
find thrashing detected. Take one or more of
the following actions to provide the query with the resources required
for execution:
Relax the paging restriction by increasing the value of HASH_THRASHING_PERCENT.
Increase the size of the temporary cache (DBA only). Keep in mind that increasing the size of the temporary cache requires an equal size reduction in main cache allocation to prevent the possibility of system thrashing.
Attempt to identify and alleviate why Sybase IQ is misestimating one or more hash sizes for this statement. For example, check that all columns that need an LF or HG index have one. Also consider if a multicolumn index is appropriate.
Decrease the value of the database option HASH_PINNABLE_CACHE_PERCENT.
For more information on these database options, see the sections“HASH_THRASHING_PERCENT option” and“HASH_PINNABLE_CACHE_PERCENT option” in Reference: Statements and Options.
To identify possible problems with a query, generate a query plan by running the query with the temporary database options QUERY_PLAN = 'ON' and QUERY_DETAIL = 'ON', then examine the estimates in the query plan. The generated query plan is in the message log file.
