Friday 17 October 2008

Memory check which tables are loaded into memory

Great tip here for analysing whether you are over stretching your memory in SQL. The root of the issue is that clustered indexes are loaded into memory (the whole table is loaded) in order to query. Should your table be of a significant size, then all of your memory (or more) may be required to load a primary index in for querying. The solution to this is to remove the clustered index - this may equate to higher disk i/o however since the size of the index is smaller it may be able to load into memory anyhow.

A check for table memory usage is as follows:

SELECT sys.tables.name TableName,
sum(a.page_id)*8 AS MemorySpaceKB,
SUM(sys.allocation_units.data_pages)*8 AS StorageSpaceKB,
CASE WHEN SUM(sys.allocation_units.data_pages) <> 0 THEN
SUM(a.page_id)/CAST(SUM(sys.allocation_units.data_pages) AS NUMERIC(18,2))
END AS 'Percentage Of Object In Memory'
FROM (SELECT database_id, allocation_unit_id, COUNT(page_id) page_id FROM
sys.dm_os_buffer_descriptors GROUP BY database_id, allocation_unit_id) a
JOIN sys.allocation_units ON a.allocation_unit_id =
sys.allocation_units.allocation_unit_id
JOIN sys.partitions ON (sys.allocation_units.type IN (1,3)
AND sys.allocation_units.container_id = sys.partitions.hobt_id)
OR (sys.allocation_units.type = 2 AND sys.allocation_units.container_id
= sys.partitions.partition_id)
JOIN sys.tables ON sys.partitions.object_id = sys.tables.object_id
AND sys.tables.is_ms_shipped = 0
WHERE a.database_id = DB_ID()
GROUP BY sys.tables.name

For further information on this and perfmon settings, look here

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