Index vs views in performance

HI,
Can creating a view will help to improve performance.I have to read from table RBKP but i don't have index fields , can i create view to get faster access.will it help over secondary index.
Regards,
Karthik.k

hi,
if u are comparing views vs secondary indexes, then secondary indexes are better , view will improve performance little bit and will be constant but if u r usingh secondary indexes then overall performance will be better.
Disadvantage of secondary indexes is that it will occupy space, it will slow down add , delete operation slow.
Jogdand M B

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Need to find total no fo tables/index/m.views in my database

Hello Everyone ;
How can i find total no fo tables/index/m.views in my database ?
when i google i have seen following command ;
SQL> Select count(1) from user_tables where table_name not like '%$%' /
COUNT(1)
but i dont understand what '%$%' indicates ?
Thanks all ;

Hello Everyone ;
How can i find total no fo tables/index/m.views in my database ?
when i google i have seen following command ;
SQL> Select count(1) from user_tables where table_name not like '%$%' /
COUNT(1)
but i dont understand what '%$%' indicates ?
Thanks all ;
consider to simply Read The Fine Manual YOURSELF!
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Hi
I am running a query in which there are several views involved in the join condition Can we put INDEXES on Views in ORACLE 9i if not Is there any way to make it Index based views beacuse the result that i am getting is very slow and is eating like 10gb of the temp tablespace.
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No, you cannot put indexes on a view. Think about what a view is, a stored sql statement. Oracle has no way of knowing what rows are in a view until it actually runs the view. So, even if you could, Oracle would need to run the view to get the rows, build the index, then run your query a second time using the index. Seems counter productive to me. A view can use indexes on the underlying tables if appropriate.
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I am closing this thread as opened at wrong place.
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Sharepoint 2013 Datasheet View Navigation performance Issues on large lists

I was recently upgraded to SharePoint 2013.
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How to view database performance in OEM back 8 hour

Hello All,
I have recently installed OEM 11g. Please can I know how to view the performance of the database back 8 hour as I can see the performance for an hour only on the performance page.
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Yes, you can.
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Oracle® Enterprise Manager Concepts
*11g Release 11.1.0.1*
http://download.oracle.com/docs/cd/E11857_01/em.111/e11982/database_management.htm#i1006971
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Indexes For Views

Hi gurus,
Is it possible to assign indexes to views ? If yes, how ? I can create indexes for views through database management software, but in SAP, in SE11 i found nothing for this.
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An index cannot be defined on a view. Because view is
virtual table, which consists of a subset of columns from
one more tables.
The Restrictions imposed on views are as follows:
<< Cut and paste without attribution from http://www.allinterview.com/showanswers/10530.html removed >>
Thanks
Rahul
Edited by: Rob Burbank on Jan 20, 2010 10:42 AM

Index to Improve SQL Performance

Please provide a link to information about how to use an Index to enhance SQL performance with Oracle 10g database.

user8973820 wrote:
I would like information regarding the use of clustered versus non-clustered indexes.The documentation is your friend :)
[Overview of Indexed Clusters|http://download.oracle.com/docs/cd/E11882_01/server.112/e10713/tablecls.htm#CFABHBAG]
[Indexes and Index-Organized Tables|http://download.oracle.com/docs/cd/E11882_01/server.112/e10713/indexiot.htm#BABHJAJF]
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INDEX on VIEW or TABLE when using CONTAINS function on the VIEW

Hi,
I'm querying a view with a contains function and I'm getting an error:
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ORA-20000: Oracle text error
DRG-10599 column is not indexed.
From what I gathered you can't create an index on the view, or is that possible afterall (using 10g).
Would it be sufficent to create an index on the column in the table that the view-query is pulling the data from? or can you use the contains funtion on views at all?
Or are there other ways of doing this better?
Thanks,

That particular CONTAINS clause will require a domain index on the column, NAME in your case.
You could also do: select * from view where name in ('Jack', 'Jill')
Depending on your need and number of records and other variables, it may be "fastest" to do the text index on the NAME column. If it is a rather small subset of data and performance is not critical then the IN clause should suffice.

Slow report viewer/rdlc performance in local mode with Single Sign On

Hi Team,
We have recently enabled Single Sign On to our application and after that our rdlc reports loading got extremely slow.
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3. System.IdentityModel.Services 4.0.0.0
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This problem is probably related to :
[http://blogs.oracle.com/stevenChan/2010/03/ebs_jre_issues_16018.html]
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How to create a Complex Organization Index Materialized View Example

Hi
I have a 11g database that I'm trying to create a complex Materialized View that I would like to make Organization Index? How do I specify what I want for a primary Key?
CREATE MATERIALIZED VIEW RCS_STG.MV_NEXT_HOP_iot
ORGANIZATION INDEX
AS
SELECT r2.resource_key, r1.resource_key resource_key2, r2.resource_full_path_name, device_name, device_model,
service_telephone_number, service_package_name, telephone_number.telephone_number_key, c1.created_on
FROM network_resource PARTITION (network_resource_subinterface) r1,
connection c1,
network_resource PARTITION (network_resource_subinterface) r2,
device d1,
tn_network_resource,
telephone_number
WHERE r1.resource_key = c1.resource1_key
AND c1.resource2_key = r2.resource_key
AND d1.device_key = r2.device_key
AND tn_network_resource.resource_key(+) = r2.resource_key
AND telephone_number.telephone_number_key(+) = tn_network_resource.telephone_number_key
UNION ALL
SELECT r1.resource_key, r2.resource_key resource_key2, r1.resource_full_path_name, device_name, device_model,
service_telephone_number, service_package_name, telephone_number.telephone_number_key, c1.created_on
FROM network_resource PARTITION (network_resource_subinterface) r1,
connection c1,
network_resource PARTITION (network_resource_subinterface) r2,
device d1,
tn_network_resource,
telephone_number
WHERE r1.resource_key = c1.resource1_key
AND c1.resource2_key = r2.resource_key
AND d1.device_key = r1.device_key
AND tn_network_resource.resource_key(+) = r1.resource_key
AND telephone_number.telephone_number_key(+) = tn_network_resource.telephone_number_key
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I would like to specify resource_key, resource_key2, and service_telephone_number as my primary key?

Ah,
I get it now. This is what I did.
CREATE TABLE mv_next_hop_iot
resource_key NUMBER (38),
resource_key2 NUMBER (38),
resource_full_path_name VARCHAR2 (256 BYTE),
device_name VARCHAR2 (64 BYTE),
device_model VARCHAR2 (64 BYTE),
service_telephone_number VARCHAR2 (20 BYTE),
service_package_name VARCHAR2 (64 BYTE),
telephone_number_key NUMBER (38),
created_on DATE,
CONSTRAINT mv_next_hop_pk PRIMARY KEY (resource_key, resource_key2, service_telephone_number)
ORGANIZATION INDEX
CREATE MATERIALIZED VIEW rcs_stg.mv_next_hop_iot
ON PREBUILT TABLE
AS
/* Formatted on 2010/06/10 1:39:04 PM (QP5 v5.149.1003.31008) */
SELECT resource_key, resource_key2, resource_full_path_name, device_name, device_model, service_telephone_number,
service_package_name, telephone_number_key, created_on
FROM (SELECT r2.resource_key, r1.resource_key resource_key2, r2.resource_full_path_name, device_name, device_model,
NVL (service_telephone_number, ' ') AS service_telephone_number, service_package_name,
telephone_number.telephone_number_key, c1.created_on
FROM network_resource PARTITION (network_resource_subinterface) r1,
connection c1,
network_resource PARTITION (network_resource_subinterface) r2,
device d1,
tn_network_resource,
telephone_number
WHERE r1.resource_key = c1.resource1_key
AND c1.resource2_key = r2.resource_key
AND d1.device_key = r2.device_key
AND tn_network_resource.resource_key(+) = r2.resource_key
AND telephone_number.telephone_number_key(+) = tn_network_resource.telephone_number_key
UNION ALL
SELECT r1.resource_key, r2.resource_key resource_key2, r1.resource_full_path_name, device_name, device_model,
NVL (service_telephone_number, ' ') AS service_telephone_number, service_package_name,
telephone_number.telephone_number_key, c1.created_on
FROM network_resource PARTITION (network_resource_subinterface) r1,
connection c1,
network_resource PARTITION (network_resource_subinterface) r2,
device d1,
tn_network_resource,
telephone_number
WHERE r1.resource_key = c1.resource1_key
AND c1.resource2_key = r2.resource_key
AND d1.device_key = r1.device_key
AND tn_network_resource.resource_key(+) = r1.resource_key
AND telephone_number.telephone_number_key(+) = tn_network_resource.telephone_number_key)
Many thanks. the PREBUILT TABLE is the secret.

When table with clustered columnstore indexe is partitioned the performance degrades if data is located in multiple partitions

Hello,
Below I provide a complete code to re-produce the behavior I am observing. You could run it in tempdb or any other database, which is not important. The test query provided at the top of the script is pretty silly, but I have observed the same
performance degradation with about a dozen of various queries of different complexity, so this is just the simplest one I am using as an example here. Note that I also included approximate run times in the script comments (this is obviously based on what I
observed on my machine). Here are the steps with numbers corresponding to the numbers in the script:
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2. Run test query (at the top of the script). Here are the execution statistics:
Table 'Main'. Scan count 5, logical reads 151435, physical reads 0, read-ahead reads 4, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Txns'. Scan count 5, logical reads 74155, physical reads 0, read-ahead reads 7, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Workfile'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
SQL Server Execution Times:
   CPU time = 5514 ms,
elapsed time = 1389 ms.
3. Run script from #8 to #9. This will replace regular clustered indexes with columnstore clustered indexes.
4. Run test query (at the top of the script). Here are the execution statistics:
Table 'Txns'. Scan count 4, logical reads 44563, physical reads 0, read-ahead reads 37186, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Main'. Scan count 4, logical reads 54850, physical reads 2, read-ahead reads 96862, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Workfile'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
SQL Server Execution Times:
   CPU time = 828 ms,
elapsed time = 392 ms.
As you can see the query is clearly faster. Yay for columnstore indexes!.. But let's continue.
5. Run script from #10 to #12 (note that this might take some time to execute). This will move about 80% of the data in both tables to a different partition. You should be able to see the fact that the data has been moved when running Step #
11.
6. Run test query (at the top of the script). Here are the execution statistics:
Table 'Txns'. Scan count 4, logical reads 44563, physical reads 0, read-ahead reads 37186, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Main'. Scan count 4, logical reads 54817, physical reads 2, read-ahead reads 96862, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Workfile'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
SQL Server Execution Times:
   CPU time = 8172 ms,
elapsed time = 3119 ms.
And now look, the I/O stats look the same as before, but the performance is the slowest of all our tries!
I am not going to paste here execution plans or the detailed properties for each of the operators. They show up as expected -- column store index scan, parallel/partitioned = true, both estimated and actual number of rows is less than during the second
run (when all of the data resided on the same partition).
So the question is: why is it slower?
Thank you for any help!
Here is the code to re-produce this:
--==> Test Query - begin --<===
DBCC DROPCLEANBUFFERS
DBCC FREEPROCCACHE
SET STATISTICS IO ON
SET STATISTICS TIME ON
SELECT COUNT(1)
FROM Txns AS z WITH(NOLOCK)
LEFT JOIN Main AS mmm WITH(NOLOCK) ON mmm.ColBatchID = 70 AND z.TxnID = mmm.TxnID AND mmm.RecordStatus = 1
WHERE z.RecordStatus = 1
--==> Test Query - end --<===
--===========================================================
--1. Clean-up
IF OBJECT_ID('Txns') IS NOT NULL DROP TABLE Txns
IF OBJECT_ID('Main') IS NOT NULL DROP TABLE Main
IF EXISTS (SELECT 1 FROM sys.partition_schemes WHERE name = 'PS_Scheme') DROP PARTITION SCHEME PS_Scheme
IF EXISTS (SELECT 1 FROM sys.partition_functions WHERE name = 'PF_Func') DROP PARTITION FUNCTION PF_Func
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CREATE PARTITION FUNCTION PF_Func(tinyint) AS RANGE LEFT FOR VALUES (1, 2, 3)
--3. Partition scheme
CREATE PARTITION SCHEME PS_Scheme AS PARTITION PF_Func ALL TO ([PRIMARY])
--4. Create Main table
CREATE TABLE dbo.Main(
SetID int NOT NULL,
SubSetID int NOT NULL,
TxnID int NOT NULL,
ColBatchID int NOT NULL,
ColMadeId int NOT NULL,
RecordStatus tinyint NOT NULL DEFAULT ((1))
) ON PS_Scheme(RecordStatus)
--5. Create Txns table
CREATE TABLE dbo.Txns(
TxnID int IDENTITY(1,1) NOT NULL,
GroupID int NULL,
SiteID int NULL,
Period datetime NULL,
Amount money NULL,
CreateDate datetime NULL,
Descr varchar(50) NULL,
RecordStatus tinyint NOT NULL DEFAULT ((1))
) ON PS_Scheme(RecordStatus)
--6. Populate data (credit to Jeff Moden: http://www.sqlservercentral.com/articles/Data+Generation/87901/)
-- 40 mln. rows - approx. 4 min
--6.1 Populate Main table
DECLARE @NumberOfRows INT = 40000000
INSERT INTO Main (
SetID,
SubSetID,
TxnID,
ColBatchID,
ColMadeID,
RecordStatus)
SELECT TOP (@NumberOfRows)
SetID = ABS(CHECKSUM(NEWID())) % 500 + 1, -- ABS(CHECKSUM(NEWID())) % @Range + @StartValue,
SubSetID = ABS(CHECKSUM(NEWID())) % 3 + 1,
TxnID = ABS(CHECKSUM(NEWID())) % 1000000 + 1,
ColBatchId = ABS(CHECKSUM(NEWID())) % 100 + 1,
ColMadeID = ABS(CHECKSUM(NEWID())) % 500000 + 1,
RecordStatus = 1
FROM sys.all_columns ac1
CROSS JOIN sys.all_columns ac2
--6.2 Populate Txns table
-- 10 mln. rows - approx. 1 min
SET @NumberOfRows = 10000000
INSERT INTO Txns (
GroupID,
SiteID,
Period,
Amount,
CreateDate,
Descr,
RecordStatus)
SELECT TOP (@NumberOfRows)
GroupID = ABS(CHECKSUM(NEWID())) % 5 + 1, -- ABS(CHECKSUM(NEWID())) % @Range + @StartValue,
SiteID = ABS(CHECKSUM(NEWID())) % 56 + 1,
Period = DATEADD(dd,ABS(CHECKSUM(NEWID())) % 365, '05-04-2012'), -- DATEADD(dd,ABS(CHECKSUM(NEWID())) % @Days, @StartDate)
Amount = CAST(RAND(CHECKSUM(NEWID())) * 250000 + 1 AS MONEY),
CreateDate = DATEADD(dd,ABS(CHECKSUM(NEWID())) % 365, '05-04-2012'),
Descr = REPLICATE(CHAR(65 + ABS(CHECKSUM(NEWID())) % 26), ABS(CHECKSUM(NEWID())) % 20),
RecordStatus = 1
FROM sys.all_columns ac1
CROSS JOIN sys.all_columns ac2
--7. Add PK's
-- 1 min
ALTER TABLE Txns ADD CONSTRAINT PK_Txns PRIMARY KEY CLUSTERED (RecordStatus ASC, TxnID ASC) ON PS_Scheme(RecordStatus)
CREATE CLUSTERED INDEX CDX_Main ON Main(RecordStatus ASC, SetID ASC, SubSetId ASC, TxnID ASC) ON PS_Scheme(RecordStatus)
--==> Run test Query --<===
--===========================================================
-- Replace regular indexes with clustered columnstore indexes
--===========================================================
--8. Drop existing indexes
ALTER TABLE Txns DROP CONSTRAINT PK_Txns
DROP INDEX Main.CDX_Main
--9. Create clustered columnstore indexes (on partition scheme!)
-- 1 min
CREATE CLUSTERED COLUMNSTORE INDEX PK_Txns ON Txns ON PS_Scheme(RecordStatus)
CREATE CLUSTERED COLUMNSTORE INDEX CDX_Main ON Main ON PS_Scheme(RecordStatus)
--==> Run test Query --<===
--===========================================================
-- Move about 80% the data into a different partition
--===========================================================
--10. Update "RecordStatus", so that data is moved to a different partition
-- 14 min (32002557 row(s) affected)
UPDATE Main
SET RecordStatus = 2
WHERE TxnID < 800000 -- range of values is from 1 to 1 mln.
-- 4.5 min (7999999 row(s) affected)
UPDATE Txns
SET RecordStatus = 2
WHERE TxnID < 8000000 -- range of values is from 1 to 10 mln.
--11. Check data distribution
SELECT
OBJECT_NAME(SI.object_id) AS PartitionedTable
, DS.name AS PartitionScheme
, SI.name AS IdxName
, SI.index_id
, SP.partition_number
, SP.rows
FROM sys.indexes AS SI WITH (NOLOCK)
JOIN sys.data_spaces AS DS WITH (NOLOCK)
ON DS.data_space_id = SI.data_space_id
JOIN sys.partitions AS SP WITH (NOLOCK)
ON SP.object_id = SI.object_id
AND SP.index_id = SI.index_id
WHERE DS.type = 'PS'
AND OBJECT_NAME(SI.object_id) IN ('Main', 'Txns')
ORDER BY 1, 2, 3, 4, 5;
PartitionedTable PartitionScheme IdxName index_id partition_number rows
Main PS_Scheme CDX_Main 1 1 7997443
Main PS_Scheme CDX_Main 1 2 32002557
Main PS_Scheme CDX_Main 1 3 0
Main PS_Scheme CDX_Main 1 4 0
Txns PS_Scheme PK_Txns 1 1 2000001
Txns PS_Scheme PK_Txns 1 2 7999999
Txns PS_Scheme PK_Txns 1 3 0
Txns PS_Scheme PK_Txns 1 4 0
--12. Update statistics
EXEC sys.sp_updatestats
--==> Run test Query --<===

Hello Michael,
I just simulated the situation and got the same results as in your description. However, I did one more test - I rebuilt the two columnstore indexes after the update (and test run). I got the following details:
Table 'Txns'. Scan count 8, logical reads 12922, physical reads 1, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Main'. Scan count 8, logical reads 57042, physical reads 1, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Workfile'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
SQL Server Execution Times:
CPU time = 251 ms, elapsed time = 128 ms.
As an explanation of the behavior - because of the UPDATE statement in CCI is executed as a DELETE and INSERT operation, you had all original row groups of the index with almost all data deleted and almost the same amount of new row groups with new data
(coming from the update). I suppose scanning the deleted bitmap caused the additional slowness at your end or something related with that "fragmentation".
Ivan Donev MCITP SQL Server 2008 DBA, DB Developer, BI Developer

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