Large Table Hogging Cache

Dec 5, 2006

Using SQL Server 2000, SP1 with 4Gb max memory allocated to the instance. The problem is that one large table is hogging cache and it's dragging down overall query performance. I realise it's in cache because it's getting queried regulary. However, I need to know what options exist to get around this problem - to free up some cache for other tables and indexes? Of course, there is the option of archiving off some the data in the table to reduce its size and we will look at doing this although it will not be as easy as it sounds.

I can imagine that there must be many databases that have at least one large table that is getting hit regularly and is left in cache more-or-less permanently. Therefore, I can't believe I have an usual problem.

Thanks in advance,
Zarty

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SQL Server Admin 2014 :: How To Analyze Large Procedure Cache

Jun 15, 2015

I want to analyze procedure cache, to find inefficient plans and parameter issues.

I do it trow DMV But my requests to DMV are very slow and demand resources because procedure cache is about several GB Actually I dont need on-line analysis.

Is it possible to have fast snapshot of procedure cache?

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, is there anything that I should be checking

Thanks

Richard

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Sep 14, 2007

Hi:

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I'm a kind of a newbie to Windows Server administration and SQL Server administration although I've written lots of SQL queries, stored procedures, etc.

I have 2GB of RAM on this PC. When I looked in Task Manager, I saw that SQL Server was using somewhere over 1GB of RAM. So, I opened up SQL Management Studio, right clicked on the server node, clicked to get to the memory configuration page and saw that SQL Server was set to use all 2GB of RAM on the PC. I changed that to 500MB(500000000, or 476MB) and decided to reboot the server. When the server came back up, I forgot to check SQL Server's new RAM usage. The server ran without interruption for over 24 hours. Now, when I checked SQL Server's memory usage in Task Manager, I can see it's using over 750MB of RAM.

How do I fix this?

I have Exchange Server 2003 running on this PC as well.

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Feb 25, 2005

I have a test database for the end users to test their select queries for reports.
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I know that the best way to clear of these processes is by restarting SQL Server. If that is not an option is there is any other way we can clean these processes?

Also the user running these queries has a read only and create view access to the database. From my experience processes that go into Kill/Rollback state after you kill them are processes associated with some update transaction. Since the user as far as i know is running Select commands would an infinite loop cause this ?


thanks
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Hi,

We have recently tested upgrading our web service from sql 2000 to 2005 sp1. The upgrade went smoothly enough, however we now have the problem of the sqlserver.exe process taking 90-100 % of the processors time, but using only 100 MB of memory.

We have 6GB available and we are running the enterprise editions of Windows 2003 and SQL 2005.

Machine specs,

DL380 G2, 2 X 2.8 Ghz Zeon, 6GB ram, Raid 5, database partition of 140 GB, Log partition of 35 GB.

Db is 25 GB, Log is 12 GB. Largest table has 32 million rows.

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Hi guys,

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For the first one I am using

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a slight change from a query in
http://blogs.msdn.com/sqlprogrammability/

For the second just perfmon.

The first one gives me a count of about 670,000 pages only for the object and query cache and the second one gives me a total of about 100,000 pages for five type of caches including object and query.

If I am using the query from http://blogs.msdn.com/sqlprogrammability/ to determin the plan cache size

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Does anyone have any idea what is going on?

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Hello,

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I've found the best approach to make a question is writing it in code, so how can I do the following:
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Hi, all experts here,



I am wondering if tempdb stores all results tempararily whenever I query a large fact table with over 4 million records which joins another dimension table? Since each time when I run the query, the tempdb grows to nearly 1GB which nearly runs out all the space on my local system drive, as a result the performance totally down. Is there any way to fix this problem? Thanks a lot in advance and I am looking forward to hearing from you shortly for your kind advices.



With best regards,



Yours sincerely,



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So my possibilites are:
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I am leaning toward option 4, because I do not see the need for a PK, but I understand that it is quite out of the normal.. So I would like to hear from other people ( I do not have much experience with DB).

I also like option 3. I already have a index on one of the other fields (time).

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I'd like to do this with minimal interuption to the website.

Possible techniques:

1) I could set up a DTS package to copy the table object overwriting the destination table

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3) I could run a process to update smaller chunks of data at a time running delete queries and insert queries.

Anybody have a thought on the best way to do this so that the web users would be virtually unaware that anything was happening ?

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Hi,

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Thanks

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OK, I imported 680 million records into an unindexed table. That went well.

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SQL Server 2000 Enterprise Edition (8.00.818 - sp3 + hotfixes)
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Windows 2000 SP4
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SCSI boot drive
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Nov 14, 2007

Hi folks! I'm looking for advice on partitioning a large table. In the DDL below I've changed names to protect the guilty.

My table has this schema:


CREATE TABLE [dbo].[BigTable]
(
[TimeKey] [int] NOT NULL,
[SegmentID] [int] NOT NULL,
[MyVal] [tinyint] NOT NULL
) ON [BigTablePS1] (TimeKey) -- see below for partition scheme

alter table [dbo].[BigTable] add constraint [PK_BigTable]
primary key (timekey asc, SegmentID asc)

-- will evaluate whether this one is needed, my thinking is yes
-- based on the expected select queries.
create index NCI_SegmentID on BigTable(SegmentID asc)


The TimeKey column is sort of like a unix time. It's the number of minutes since 2001/01/01, but always floored to a 5 minute boundary. so only multiples of 5 are allowed.

Now, this table will be rather big. There are about 20k possible SegmentIDs. For every TimeKey from 2008/01/01 to 2009/01/01 (12 months), I'll have on the order of 20000 rows, one for each SegmentID.

For the 12 month period, there are 365*24*60/5=105120 possible TimeKey values. So the total rowcount is over 2 billion. (20k * 105120)

Select queries are expected to be something like this:


-- fetch just one particular row...
select MyVal from BigTable
where TimeKey=5555 and SegmentID=234234

--fetch for a certain set of SegmentID and a particular time...
select
b.SegmentID
,b.MyVal
from BigTable b
join OtherTable t on t.SegmentID=b.SegmentID
where b.TimeKey=5555
and t.SomeColumn='SomeValue'


Besides selects, also I need to be able to efficiently issue update statements against the table with new values in the MyVal column based on a range of TimeKey values (a contiguous span of a few days) and sets of about 1000 SegmentID. updates would always look like this:


update t
set t.MyVal=p.MyVal
from BigTable t
join #myTempTable p on t.TimeKey=p.TimeKey
and t.SegmentId=p.SegmentId


where #myTempTable would have order of 1000*24*60 rows in it, all with contiguous TimeKey values, and about 1000 different SegmentID values. #myTempTable also has a clustered pk on (timekey asc, SegmentId asc).

After the table is loaded, it would never get any inserts or deletes. only selects and updates.

Given the size, and the nature of the select and update queries, this table seems like a good candidate for partitioning. I'm thinking it makes sense to partition on TimeKey.

So my question is, is it stupid to create a separate partition for each day in the year long span of TimeKeys this table covers? That would mean 365 partitions in the partition function and partition scheme. Something like this:


CREATE PARTITION FUNCTION [BigTableRangePF1] (int)
AS RANGE LEFT FOR VALUES
(
3680640 + 0*1440, -- 3680640 is the number of minutes between 2001/01/01 and 2008/01/01
3680640 + 1*1440,
3680640 + 2*1440,
3680640 + 3*1440,
...snip...
3680640 + 363*1440,
3680640 + 364*1440,
3680640 + 365*1440
);
GO

CREATE PARTITION SCHEME [BigTablePS1]
AS PARTITION [BigTableRangePF1]
TO
(
[PRIMARY],[PRIMARY],[PRIMARY],
...snip...
[PRIMARY],[PRIMARY],[PRIMARY]
);
GO


does anyone have any experience with partitioned tables with so many partitions? Is a few hundred partitions too many? From my understanding of partitions, seems like having so many will be ok. Is it somehow worse than having hundreds of tables in a database?

Even with one partition for each day, I'll still have 24*60*20000/5 ~ 5m rows in each one.

5m seems like a manageable number. 2b does not.



elsasoft.org

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Jul 23, 2005

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Apr 29, 2008



I have query that takes 12 minutes to execute. The query uses around 9 tables but I have narrowed down the problem to one table that has over 65 million rows. The problem table has only 3 fields

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FieldThree Varchar(3000)

The query uses the primary key of this table to perform the join. FieldTwo and FieldThree are only used as output parameters.

I noticed if I remove FieldTwo and FieldThree from the output (but still leave the table in the query), the query executes in 1 second. However if I include FieldTwo and FieldThree in the output, the query takes over 12 minutes to execute.

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Are there any suggestions on settings or the best way to do this?

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May 10, 2008

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3) 2021
4) 355

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Hello:

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Thew vnedor has made a change to this largest table in recommending changing a data type -- char to varchar. To make this change easier to do,
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Any information you can provide will be greatly appreciated. Thanks.


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I need to add a column to this table. It's just a small char(7) column, NULLS allowed, of course. We bill for several clients, and reports from different clients become available at different times, so there's really no down time overnight. Altering the table during the day is out of the question. So how can I add a column while the table is active?

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Hi,

What's the most efficient way to store the following information:

* Table contains 1 million listings
* Each listing can be geo-targeted to any of the 200+ countries
* Searches return listings based on geo-location

Storage options:

Option #1 (normalized)
* ListingsTable (PK listingID int) [1 million rows]
* ListingGeoLocations (listingID, geoLocationID) [could be up to 200 million rows]

Option #2 (denormalized)
* ListingsTable (PK listingID int, binary(32) with bit-mask consisting of 200 bits one for each location)

Did anyone have experience with similar structures? Which option is more efficient?

Thanks,
Av

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In the past i just used a standard insert into statement but not the best way of doing it.

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