I'm stuck on an SQL query so I thought maybe an SQL MVP/GOD could find this here with small luck.
I'm using SQL Server 2008 and here's a description of my tables:
Tables - columns
NodesCustomProperties - NodeID / NodeZone
Application - NodeID / ID
Component - ApplicationID / Name
CurrentComponentStatus: ApplicationID / Data
I'd like to fetch the SUM of CurrentComponentStatus.Data when Component.Name is like 'HTTP%: Bytes Transferred Between Proxy and Servers' for the same ApplicatioID and filter these results when NodesCustomProperties.NodeZone = 'one particular zone'
Research and testing have lead me here so far:
SELECT
SUM(
CASE
WHEN [dbo].[APM_CurrentComponentStatus].StatisticData IS NOT NULL
THEN [dbo].[APM_CurrentComponentStatus].StatisticData
ELSE 0
END) AS 'Data'
FROM
[dbo].[APM_CurrentComponentStatus]
LEFT JOIN [dbo].[APM_Application]
ON [dbo].[APM_Application].ID = [dbo].[APM_CurrentComponentStatus].ApplicationID
WHERE
[dbo].[APM_Application].NodeID IN (
SELECT [dbo].[NodesCustomProperties].NodeID
FROM [dbo].[NodesCustomProperties]
WHERE [dbo].[NodesCustomProperties].NodeZone = 'one particular zone')
GROUP BY [dbo].[APM_CurrentComponentStatus].ApplicationID
HAVING [dbo].[APM_CurrentComponentStatus].ApplicationID
IN (
SELECT [dbo].[APM_Component].ApplicationID
FROM [dbo].[APM_Component]
WHERE [dbo].[APM_Component].Name LIKE 'HTTP%: Bytes Transferred Between Proxy and Servers')
This query actually works (Hooray !) but there's too few results so that's still not it. (Awwww !)
Related
Is there a way to get the amount of 'selects' from a mssql table?
I mean without rewriting application to log every request or without parsing sql profile logs...
Is there any build-in tool (sql request)?
SQL Server maintains index usage statistics since last restart. You can use user_reads column from query bellow to get wanted statistics:
SELECT OBJECT_NAME(ddius.[object_id], ddius.database_id) AS [object_name] ,
ddius.index_id ,
ddius.user_seeks ,
ddius.user_scans ,
ddius.user_lookups ,
ddius.user_seeks + ddius.user_scans + ddius.user_lookups
AS user_reads ,
ddius.user_updates AS user_writes ,
ddius.last_user_scan ,
ddius.last_user_update
FROM sys.dm_db_index_usage_stats ddius
WHERE ddius.database_id > 4 -- filter out system tables
AND OBJECTPROPERTY(ddius.OBJECT_ID, 'IsUserTable') = 1
AND ddius.index_id > 0 -- filter out heaps
AND database_id = DB_ID()
ORDER BY user_reads DESC
I am working on to get the record count of every entity available in the CRM. I have seen so many solutions are available on the internet But I have searched in the database(As we have on-prem) and found one table called 'RecordCountSnapshot' has the count(and answer to my question). I am wondering can we query that table somehow and get the count.
I have tried using OData Query builder, I am able to prepare a query but unable to get the result.
Query:
Result:
We are using CRM 2015 on-prem version.
Go to Settings -> Customizations -> Developer Resources -> Service Endpoints -> Organization Data Service
Open by clicking /XRMServices/2011/OrganizationData.svc/, it is missing the definition for RecordCountSnapshot. That means this entity is not serviceable by OData. Even if you modify the other OData query url to use RecordCountSnapshotSet you will get 'Not found' error. (I tried in CRM REST builder)
1) As you are in Onpremise, You can use this query:
SELECT TOP 1000 [Count]
,[RecordCountSnapshotId]
,entityview.ObjectTypeCode, Name
FROM [YOURCRM_MSCRM].[dbo].[RecordCountSnapshot] , EntityView
where entityview.ObjectTypeCode = RecordCountSnapshot.ObjectTypeCode
and count > 0 order by count desc
2) In Odata Query Designer, you have statistics tab. Use it to get the records count.
One option to get the counts of all entities is to run this SQL query against the MSCRM database:
SELECT SO.Name, SI.rows
FROM sysindexes SI, SysObjects SO
WHERE SI.id = SO.ID AND SO.Type = 'U' AND SI.indid < 2
order by rows DESC
I have also built a command line app that's in beta testing that runs a count of all entities. If you're interested, let's chat.
Hey guys the code below is taking a really long time. I've been looking at it for quite a while. Is there anything that stands out as the obvious cause of delay?
[SQLSRV-3-JB] is a linked server BTW
Select count(cast (Unique_ID as bigint)) as [Count],
T.[Region_Code],
T.[Region_Name],
U.[Region_Code],
Y.[Examination_Year],
case when [Subject] = 'MUSIC THEORY' THEN 'Theory'
else 'Practical'
end
from [SQLSRV-3-JB].[X].[dbo].[Exam_and_Candidate_Details] Y
left join [SQLSRV-3-JB].[X].[dbo].[UK_Exam_Centre_Info] T
on Y.Centre_Code = T.Centre_Code
left join [SQLSRV-3-JB].[X].[dbo].[UK_Exam_Centres] U
on Y.Centre_Code = U.Centre_Code
where Y.[Examination_Year] between 2010 and 2016
group by Y.[Examination_Year],
T.[Region_Code],
T.[Region_Name],
U.[Region_Code],
case when [Subject] = 'MUSIC THEORY' THEN 'Theory'
else 'Practical'
end
Yes, there is one very obvious problem - the remote server. When you use a linked server like this, SQL Server has a disturbing habit of pulling all of the data in the remote tables to the local server before performing JOINs or filtration.
The correct way to handle this is to make this query a view on the remote server, and query the view with your WHERE clause on your end. So, your remote code would look like this:
-- Remote Server
USE X
GO
CREATE VIEW dbo.ExamCenterInfo
AS
Select count(cast (Unique_ID as bigint)) as [Count],
T.[Region_Code],
T.[Region_Name],
U.[Region_Code],
Y.[Examination_Year],
case when [Subject] = 'MUSIC THEORY' THEN 'Theory'
else 'Practical'
end
from dbo.[Exam_and_Candidate_Details] Y
left join dbo.[UK_Exam_Centre_Info] T
on Y.Centre_Code = T.Centre_Code
left join dbo.[UK_Exam_Centres] U
on Y.Centre_Code = U.Centre_Code
group by Y.[Examination_Year],
T.[Region_Code],
T.[Region_Name],
U.[Region_Code],
case when [Subject] = 'MUSIC THEORY' THEN 'Theory'
else 'Practical'
end
Then your local code:
-- Local Server
SELECT *
FROM [SQLSRV-3-JB].[X].[dbo].ExamCenterInfo ECI
where ECI.[Examination_Year] between 2010 and 2016
NOTE: There is some possibility that this will pull all of the view output before filtering by year. If this is still a problem, you will have to create a more complex mechanism to execute the view with filtration on the remote server.
I am very new to Microsoft SQL Server and am using 2012 Management Studio. I get the error above when I try to export query results to an excel file using the wizard. I have seen solutions posted elsewhere for this error but do not know enough to figure out how to implement the solutions recommended. Can somebody please walk me through one of these solutions step by step?
I believe my problem is that the SQL Server Import and Export Wizard Does Not Recognise Varchar and NVarchar which I believe is the data type for the columns that I am receiving errors for.
Source Type 200 in SQL Server Import and Export Wizard?
http://connect.microsoft.com/SQLServer/feedback/details/775897/sql-server-import-and-export-wizard-does-not-recognise-varchar-and-nvarchar#
Query:
SELECT licenseEntitlement.entID, licenseEntitlement.entStartDate, entEndDate, quote.quoteId, quote.accountId, quote.clientId, quote.clientName, quote.contactName,
quote.contactEmail, quote.extReference, quote.purchaseOrderNumber, quote.linkedTicket
FROM licenseEntitlement INNER JOIN
quote ON quote.quoteId = SUBSTRING(licenseEntitlement.entComments, 12, PATINDEX('% Created%', licenseEntitlement.entComments) - 12)
inner join sophos521.dbo.computersanddeletedcomputers on computersanddeletedcomputers.name = entid and IsNumeric(computersanddeletedcomputers.name) = 1
WHERE (licenseEntitlement.entType = 'AVS') AND (licenseEntitlement.entComments LIKE 'OV Order + %') and entenddate < '4/1/2014'
ORDER BY licenseEntitlement.entEndDate
Error:
TITLE: SQL Server Import and Export Wizard
------------------------------
Column information for the source and the destination data could not be retrieved, or the data types of source columns were not mapped correctly to those available on the destination provider.
[Query] -> `Query`:
- Column "accountId": Source data type "200" was not found in the data type mapping file.
- Column "clientId": Source data type "200" was not found in the data type mapping file.
- Column "clientName": Source data type "200" was not found in the data type mapping file.
- Column "contactName": Source data type "200" was not found in the data type mapping file.
- Column "contactEmail": Source data type "200" was not found in the data type mapping file.
- Column "extReference": Source data type "200" was not found in the data type mapping file.
- Column "purchaseOrderNumber": Source data type "200" was not found in the data type mapping file.
- Column "linkedTicket": Source data type "200" was not found in the data type mapping file.
If any more details are needed please let me know
So, implementing the suggestion at the StackOverflow link you gave, of turning the query into a View, here's an example of what that could look like (with some code formatting ;) --
CREATE VIEW [dbo].[test__View_1]
AS
SELECT LIC.entID, LIC.entStartDate, entEndDate,
quote.quoteId, quote.accountId, quote.clientId, quote.clientName,
quote.contactName, quote.contactEmail, quote.extReference,
quote.purchaseOrderNumber, quote.linkedTicket
FROM [dbo].licenseEntitlement LIC WITH(NOLOCK)
INNER JOIN [dbo].quote WITH(NOLOCK)
ON quote.quoteId = SUBSTRING(LIC.entComments, 12,
PATINDEX('% Created%', LIC.entComments) - 12)
INNER JOIN sophos521.dbo.computersanddeletedcomputers COMPS WITH(NOLOCK)
ON COMPS.name = entid and IsNumeric(COMPS.name) = 1
WHERE (LIC.entType = 'AVS')
AND (LIC.entComments LIKE 'OV Order + %')
and (entenddate < '4/1/2014')
ORDER BY LIC.entEndDate
GO
Then, you would export from test__View_1 (or whatever real name you choose for it), as if test__View_1 was the table name.
FYI, after the first time you've executed the above -- after you've "created" the view -- then from then on, the view's first line (during modifications) changes, from CREATE VIEW, to ALTER VIEW.
((And, aside from the bug question... in your WHERE clause, did you intend entComments LIKE 'OV Order + %', or was that really intended to be entComments LIKE 'OV Order%'? I've made that change, in the alternative example code, below.))
Note: if you're going to be exporting repeatedly (or re-using) the output from one run, and especially if your query is slow or hogs the machine... then instead of a VIEW, you might prefer a SELECT INTO, to create a table once, which can be quickly re-used. (I would also choose SELECT INTO rather than CREATE VIEW, when developing a one-time-only query for export.)
IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLES
WHERE TABLE_NAME = 'zz_LIC_ENT_DETAIL')
DROP TABLE [dbo].zz_LIC_ENT_DETAIL
SELECT LIC.entID, LIC.entStartDate, LIC.entEndDate,
quote.quoteId, quote.accountId, quote.clientId, quote.clientName,
quote.contactName, quote.contactEmail, quote.extReference,
quote.purchaseOrderNumber, quote.linkedTicket
INTO [dbo].zz_LIC_ENT_DETAIL
FROM [dbo].licenseEntitlement LIC WITH(NOLOCK)
INNER JOIN [dbo].quote WITH(NOLOCK)
ON quote.quoteId = SUBSTRING(LIC.entComments, 12,
PATINDEX('% Created%', LIC.entComments) - 12)
INNER JOIN sophos521.dbo.computersanddeletedcomputers COMPS WITH(NOLOCK)
ON COMPS.name = LIC.entid and IsNumeric(COMPS.name) = 1
WHERE (LIC.entType = 'AVS')
AND (LIC.entComments LIKE 'OV Order%')
and (LIC.entenddate < '4/1/2014')
ORDER BY LIC.entEndDate
Then, you would of course export from table zz_LIC_ENT_DETAIL (or whatever table name you chose).
Hope that helps...
It might be easier to right click query results window and choosing Save Results As (CSV)..
To append the column names in the first row you'd also need to modify your query in this way (note the cast for int or datetime columns):
select 'col1', 'col2', 'col3'
union all
select cast(id as varchar(10)), name, cast(someinfo as varchar(28))
from Question1355876
I have this sql:
UPDATE JOBMAKE SET WIP_STATUS='10sched1'
WHERE JBT_TYPE IN (SELECT JBT_TYPE FROM JOBVISIT WHERE JVST_ID = 21)
AND JOB_NUMBER IN (SELECT JOB_NUMBER FROM JOBVISIT WHERE JVST_ID = 21)
It works until I turn it into a parameterised query:
UPDATE JOBMAKE SET WIP_STATUS='10sched1'
WHERE JBT_TYPE IN (SELECT JBT_TYPE FROM JOBVISIT WHERE JVST_ID = #jvst_id)
AND JOB_NUMBER IN (SELECT JOB_NUMBER FROM JOBVISIT WHERE JVST_ID = #jvst_id)
Duplicated parameter names are not allowed. [ Parameter name = #jvst_id ]
I tried this (which i think would work in SQL SERVER 2005 - although I haven't tried it):
UPDATE JOBMAKE
SET WIP_STATUS='10sched1'
FROM JOBMAKE JM,JOBVISIT JV
WHERE JM.JOB_NUMBER = JV.JOB_NUMBER
AND JM.JBT_TYPE = JV.JBT_TYPE
AND JV.JVST_ID = 21
There was an error parsing the query. [ Token line number = 3,Token line offset = 1,Token in error = FROM ]
So, I can write dynamic sql instead of using parameters, or I can pass in 2 parameters with the same value, but does someone know how to do this a better way?
Colin
Your second attempt doesn't work because, based on the Books On-Line entry for UPDATE, SQL CE does't allow a FROM clause in an update statement.
I don't have SQL Compact Edition to test it on, but this might work:
UPDATE JOBMAKE
SET WIP_STATUS = '10sched1'
WHERE EXISTS (SELECT 1
FROM JOBVISIT AS JV
WHERE JV.JBT_TYPE = JOBMAKE.JBT_TYPE
AND JV.JOB_NUMBER = JOBMAKE.JOB_NUMBER
AND JV.JVST_ID = #jvst_id
)
It may be that you can alias JOBMAKE as JM to make the query slightly shorter.
EDIT
I'm not 100% sure of the limitations of SQL CE as they relate to the question raised in the comments (how to update a value in JOBMAKE using a value from JOBVISIT). Attempting to refer to the contents of the EXISTS clause in the outer query is unsupported in any SQL dialect I've come across, but there is another method you can try. This is untested but may work, since it looks like SQL CE supports correlated subqueries:
UPDATE JOBMAKE
SET WIP_STATUS = (SELECT JV.RES_CODE
FROM JOBVISIT AS JV
WHERE JV.JBT_TYPE = JOBMAKE.JBT_TYPE
AND JV.JOB_NUMBER = JOBMAKE.JOB_NUMBER
AND JV.JVST_ID = 20
)
There is a limitation, however. This query will fail if more than one row in JOBVISIT is retuned for each row in JOBMAKE.
If this doesn't work (or you cannot straightforwardly limit the inner query to a single row per outer row), it would be possible to carry out a row-by-row update using a cursor.