I am trying to count my total number of tables, total number of rows, the last time the DB has been updated and last time a stored proc was executed. I have a total of 4 tables and 153 rows after manually counting. When I add the sEPS.last_execution_time to the end of my SELECT, it throws off the numbers. Is there a way I can successfully AGGR everything, then pull back the last execution date?
SELECT
COUNT(SCHEMA_NAME(sO.schema_id)) AS TableCount,
SUM(sPTN.Rows) AS [RowCount],
MAX(sO.modify_date) AS LastUpdated,
(sEPS.last_execution_time) AS 'LastExecuted'
FROM sys.objects AS sO
INNER JOIN sys.partitions AS sPTN ON sO.object_id = sPTN.object_id
INNER JOIN sys.dm_exec_procedure_stats AS sEPS ON sO.object_id = sEPS.object_id
WHERE sO.type = 'U'
GROUP BY sEPS.last_execution_time
When I run the above code, I'm getting 5 rows back(there should only be one) and I am get one table 3 times. Any help is appreciated. THANKS
The last time an sp was executed can't be joined to the rest of the tables, because the other are joined by the object_id of the table. You could do something like this:
SELECT COUNT(DISTINCT SO.object_id) AS TableCount,
SUM(sPTN.Rows) AS [RowCount],
MAX(sO.modify_date) AS LastUpdated,
MAX(LastExecuted) LastExecuted
FROM sys.objects AS sO
INNER JOIN sys.partitions AS sPTN
ON sO.object_id = sPTN.object_id
CROSS JOIN (SELECT MAX(last_execution_time) LastExecuted
FROM sys.dm_exec_procedure_stats) AS sEPS
WHERE sO.type = 'U';
Related
I am trying to return the price of the most recent record grouped by ItemNum and FeeSched, Customer can be eliminated. I am having trouble understanding how I can do that reasonably.
The issue is that I am joining about 5 tables containing hundreds of thousands of rows to end up with this result set. The initial query takes about a minute to run, and there has been some trouble with timeout errors in the past. Since this will run on a client's workstation, it may run even slower, and I have no access to modify server settings to increase memory / timeouts.
Here is my data:
Customer Price ItemNum FeeSched Date
5 70.75 01202 12 12-06-2017
5 70.80 01202 12 06-07-2016
5 70.80 01202 12 07-21-2017
5 70.80 01202 12 10-26-2016
5 82.63 02144 61 12-06-2017
5 84.46 02144 61 06-07-2016
5 84.46 02144 61 07-21-2017
5 84.46 02144 61 10-26-2016
I don't have access to create temporary tables, or views and there is no such thing as a #variable in C-tree, but in most ways it acts like MySql. I wanted to use something like GROUP BY ItemNum, FeeSched and select MAX(Date). The issue is that unless I put Price into the GROUP BY I get an error.
I could run the query again only selecting ItemNum, FeeSched, Date and then doing an INNER JOIN, but with the query taking a minute to run each time, it seems there is a better way that maybe I don't know.
Here is my query I am running, it isn't really that complicated of a query other than the amount of data it is processing. Final results are about 50,000 rows. I can't share much about the database structure as it is covered under an NDA.
SELECT DISTINCT
CustomerNum,
paid as Price,
ItemNum,
n.pdate as newest
from admin.fullproclog as f
INNER JOIN (
SELECT
id,
itemId,
MAX(TO_CHAR(pdate, 'MM-DD-YYYY')) as pdate
from admin.fullproclog
WHERE pdate > timestampadd(sql_tsi_year, -3, NOW())
group by id, itemId
) as n ON n.id = f.id AND n.itemId = f.itemId AND n.pdate = f.pdate
LEFT join (SELECT itemId AS linkid, ItemNum FROM admin.itemlist) AS codes ON codes.linkid = f.itemId AND ItemNum >0
INNER join (SELECT DISTINCT parent_id,
MAX(ins1.feesched) as CustomerNum
FROM admin.customers AS p
left join admin.feeschedule AS ins1
ON ins1.feescheduleid = p.primfeescheduleid
left join admin.group AS c1
ON c1.insid = ins1.feesched
WHERE status =1
GROUP BY parent_id)
AS ip ON ip.parent_id = f.parent_id
WHERE CustomerNum >0 AND ItemNum >0
UNION ALL
SELECT DISTINCT
CustomerNum,
secpaid as Price,
ItemNum,
n.pdate as newest
from admin.fullproclog as f
INNER JOIN (
SELECT
id,
itemId,
MAX(TO_CHAR(pdate, 'MM-DD-YYYY')) as pdate
from admin.fullproclog
WHERE pdate > timestampadd(sql_tsi_year, -3, NOW())
group by id, itemId
) as n ON n.id = f.id AND n.itemId = f.itemId AND n.pdate = f.pdate
LEFT join (SELECT itemId AS linkid, ItemNum FROM admin.itemlist) AS codes ON codes.linkid = f.itemId AND ItemNum >0
INNER join (SELECT DISTINCT parent_id,
MAX(ins1.feesched) as CustomerNum
FROM admin.customers AS p
left join admin.feeschedule AS ins1
ON ins1.feescheduleid = p.secfeescheduleid
left join admin.group AS c1
ON c1.insid = ins1.feesched
WHERE status =1
GROUP BY parent_id)
AS ip ON ip.parent_id = f.parent_id
WHERE CustomerNum >0 AND ItemNum >0
I feel it quite simple when I'd read the first three paragraphs, but I get a little confused when I've read the whole question.
Whatever you have done to get the data posted above, once you've got the data like that it's easy to retrive "the most recent record grouped by ItemNum and FeeSched".
How to:
Firstly, sort the whole result set by Date DESC.
Secondly, select fields you need from the sorted result set and group by ItemNum, FeeSched without any aggregation methods.
So, the query might be something like this:
SELECT t.Price, t.ItemNum, t.FeeSched, t.Date
FROM (SELECT * FROM table ORDER BY Date DESC) AS t
GROUP BY t.ItemNum, t.FeeSched;
How it works:
When your data is grouped and you select rows without aggregation methods, it will only return you the first row of each group. As you have sorted all rows before grouping, so the first row would exactly be "the most recent record".
Contact me if you got any problems or errors with this approach.
You can also try like this:
Select Price, ItemNum, FeeSched, Date from table where Date IN (Select MAX(Date) from table group by ItemNum, FeeSched,Customer);
Internal sql query return maximum date group by ItemNum and FeeSched and IN statement fetch only the records with maximum date.
I convert an old software (that use MS-ACCESS MDB) to mySQL.
I have a query that takes long time to run (actualy I break running after 5 minutes of waiting)
How can I write it?
SELECT pa_ID, pa_PRODUCT_ID, pr_ID,pr_NAME,Sum(pa_KILOS) as IN_KILOS,
(select sum(pl_KILOS) from POLHSH where POLHSH.pl_PRODUCT_ID = pa_PRODUCT_ID and POLHSH.pl_PARALABH_ID = pa_ID) as OUT_KILOS From PARALABH, PRODUCTS WHERE pa_company_id=1 GROUP BY pa_ID, pa_PRODUCT_ID,pr_ID, pr_NAME HAVING pa_ID=241 and pr_id=pa_PRODUCT_ID
Thanks in advance
Consider avoiding the correlated subquery which runs a SUM separately for each row and use a join of two aggregate queries each of which runs SUM once by grouping fields. Additionally, use explicit joins, the current SQL standard in joining tables/views.
Please adjust column aliases and names to actuals as assumptions were made below.
SELECT t1.*, t2.OUT_KILOS
FROM
(SELECT pa.pa_ID,
pa.pa_PRODUCT_ID,
pr.pr_ID,
pr.pr_NAME,
SUM(pa.pa_KILOS) AS IN_KILOS
FROM PARALABH pa
INNER JOIN PRODUCTS pr
ON pr.pr_id = pa.pa_PRODUCT_ID
WHERE pa.pa_company_id = 1
GROUP BY pa.pa_ID,
pa.pa_PRODUCT_ID,
pr.pr_ID,
pr.pr_NAME
HAVING pa.pa_ID = 241
) AS t1
INNER JOIN
(SELECT POLHSH.pl_PRODUCT_ID,
POLHSH.pl_PARALABH_ID
SUM(pl_KILOS) As OUT_KILOS
FROM POLHSH
GROUP BY POLHSH.pl_PRODUCT_ID,
POLHSH.pl_PARALABH_ID
) AS t2
ON t2.pl_PRODUCT_ID = t1.pa_PRODUCT_ID
AND t2.pl_PARALABH_ID = t1.pa_ID
Take the following:
SELECT
Count(a.record_id) AS newrecruits
,a.studyrecord_id
FROM
visits AS a
INNER JOIN
(
SELECT
record_id
, MAX(modtime) AS latest
FROM
visits
GROUP BY
record_id
) AS b
ON (a.record_id = b.record_id) AND (a.modtime = b.latest)
WHERE (((a.visit_type_id)=1))
GROUP BY a.studyrecord_id;
I want to amend the COUNT part to display a zero if there are no records since I assume COUNT will evaluate to Null.
I have tried the following but still get no results:
IIF(ISNULL(COUNT(a.record_id)),0,COUNT(a.record_id)) AS newrecruits
Is this an issue because the join is on record_id? I tried changing the INNER to LEFT but also received no results.
Q
How do I get the above to evaluate to zero if there are no records matching the criteria?
Edit:
To give a little detail to the reasoning.
The studies table contains a field called 'original_recruits' based on activity before use of the database.
The visits tables tracks new_recruits (Count of records for each study).
I combine these in another query (original_recruits + new_recruits)- If there have been no new recruits I still need to display the original_recruits so if there are no records I need it to evalulate to zero instead of null so the final sum still works.
It seems like you want to count records by StudyRecords.
If you need a count of zero when you have no records, you need to join to a table named StudyRecords.
Did you have one? Else this is a nonsense to ask for rows when you don't have rows!
Let's suppose the StudyRecords exists, then the query should look like something like this :
SELECT
Count(a.record_id) AS newrecruits -- a.record_id will be null if there is zero count for a studyrecord, else will contain the id
sr.Id
FROM
visits AS a
INNER JOIN
(
SELECT
record_id
, MAX(modtime) AS latest
FROM
visits
GROUP BY
record_id
) AS b
ON (a.record_id = b.record_id) AND (a.modtime = b.latest)
LEFT OUTER JOIN studyrecord sr
ON sr.Id = a.studyrecord_id
WHERE a.visit_type_id = 1
GROUP BY sr.Id
I solved the problem by amending the final query where I display the result of combining the original and new recruits to include the IIF there.
SELECT
a.*
, IIF(IsNull([totalrecruits]),consents,totalrecruits)/a.target AS prog
, IIf(IsNull([totalrecruits]),consents,totalrecruits) AS trecruits
FROM
q_latest_studies AS a
LEFT JOIN q_totalrecruitment AS b
ON a.studyrecord_id=b.studyrecord_id
;
I have a function that gets a SQL code and inserts a count field in it and executes the query to return the number of rows in it. The objective is to have a dynamic SQL code and be able to get its record count no matter what code it has, because I use it in a registry filter window and I never know what code may be generated, because the user can add as many filters as he/she wants.
But as I use the group by clause, the result is wrong because it is counting the number of times a main registry appears because of the use on many join connections.
The result of that code above should only one row with a columns with 10 as result, but I get a new table with the first columns with a 2 in the first row and a 1 on the other rows.
If I take off the group by clause I will receive a 11 as a count result, but the first row will be counted twice.
What should I do to get a single row and the correct number?
SELECT
COUNT(*) QUERYRECORDCOUNT, // this line appears only in the Count() function
ARTISTA.*,
CATEGORIA.NOME AS CATEGORIA,
ATIVIDADE.NOME AS ATIVIDADE,
LOCALIDADE.NOME AS CIDADE,
MATRICULA.NUMERO AS MAP
FROM
ARTISTA
LEFT JOIN PERFIL ON PERFIL.REGISTRO = ARTISTA.ARTISTA_ID
LEFT JOIN CATEGORIA ON CATEGORIA.CATEGORIA_ID = PERFIL.CATEGORIA
LEFT JOIN ATIVIDADE ON ATIVIDADE.ATIVIDADE_ID = PERFIL.ATIVIDADE
LEFT JOIN LOCALIDADE ON LOCALIDADE.LOCALIDADE_ID = ARTISTA.LOCAL_ATIV_CIDADE
LEFT JOIN MATRICULA ON MATRICULA.REGISTRO = ARTISTA.ARTISTA_ID
WHERE
((ARTISTA.SIT_PERFIL <> 'NORMAL') AND (ARTISTA.SIT_PERFIL <> 'PRIVADO'))
GROUP BY
ARTISTA.ARTISTA_ID
ORDER BY
ARTISTA.ARTISTA_ID;
This always gives you the number of rows for any query you have:
Select count(*) as rowcount from
(
Paste your query here
) as countquery
Since your are GROUPING BY ARTISTA.ARTISTA_ID, COUNT(*) QUERYRECORDCOUNT will return records count for each ARTISTA.ARTISTA_ID value.
If you want GLOBAL count, then you need to use a nested query:
SELECT COUNT(*) AS QUERYRECORDCOUNT
FROM (SELECT
ARTISTA.*,
CATEGORIA.NOME AS CATEGORIA,
ATIVIDADE.NOME AS ATIVIDADE,
LOCALIDADE.NOME AS CIDADE,
MATRICULA.NUMERO AS MAP
FROM
ARTISTA
LEFT JOIN PERFIL ON PERFIL.REGISTRO = ARTISTA.ARTISTA_ID
LEFT JOIN CATEGORIA ON CATEGORIA.CATEGORIA_ID = PERFIL.CATEGORIA
LEFT JOIN ATIVIDADE ON ATIVIDADE.ATIVIDADE_ID = PERFIL.ATIVIDADE
LEFT JOIN LOCALIDADE ON LOCALIDADE.LOCALIDADE_ID = ARTISTA.LOCAL_ATIV_CIDADE
LEFT JOIN MATRICULA ON MATRICULA.REGISTRO = ARTISTA.ARTISTA_ID
WHERE
((ARTISTA.SIT_PERFIL <> 'NORMAL') AND (ARTISTA.SIT_PERFIL <> 'PRIVADO'))
GROUP BY
ARTISTA.ARTISTA_ID
ORDER BY
ARTISTA.ARTISTA_ID);
In this case, you may not need to select those many columns.
If you need to retrieve the all records count with details, then better to use two separate queries.
hi I am doing A query to get some product info, but there is something strange going on, the first query returns resultset fast (.1272s) but the second (note that I just added 1 column) takes forever to complete (28-35s), anyone know what is happening?
query 1
SELECT
p.partnumberp,
p.model,
p.descriptionsmall,
p.brandname,
sum(remainderint) stockint
from
inventario_dbo.inventoryindetails ind
left join purchaseorders.product p on (p.partnumberp = ind.partnumberp)
left join inventario_dbo.inventoryin ins on (ins.inventoryinid= ind.inventoryinid)
group by partnumberp, projectid
query 2
SELECT
p.partnumberp,
p.model,
p.descriptionsmall,
p.brandname,
p.descriptiondetail,
sum(remainderint) stockint
from
inventario_dbo.inventoryindetails inda
left join purchaseorders.product p on (p.partnumberp = inda.partnumberp)
left join inventario_dbo.inventoryin ins on (ins.inventoryinid= inda.inventoryinid)
group by partnumberp, projectid
You shouldn't group by some columns and then select other columns unless you use aggregate functions. Only p.partnumberp and sum(remainderint) make sense here. You're doing a huge join and select and then the results for most rows just end up getting discarded.
You can make the query much faster by doing an inner select first and then joining that to the remaining tables to get your final result for the last few columns.
The inner select should look something like this:
select p.partnumberp, projectid, sum(remainderint) stockint
from inventario_dbo.inventoryindetails ind
left join purchaseorders.product p on (p.partnumberp = ind.partnumberp)
left join inventario_dbo.inventoryin ins on (ins.inventoryinid = ind.inventoryinid)
group by partnumberp, projectid
After the join:
select T1.partnumberp, T1.projectid, p2.model, p2.descriptionsmall, p2.brandname, T1.stockint
from
(select p.partnumberp, projectid, sum(remainderint) stockint
from inventario_dbo.inventoryindetails ind
left join purchaseorders.product p on (p.partnumberp = ind.partnumberp)
left join inventario_dbo.inventoryin ins on (ins.inventoryinid = ind.inventoryinid)
group by partnumberp, projectid) T1
left join purchaseorders.product p2 on (p2.partnumberp = T1.partnumberp)
Is descriptiondetail a really large column? Sounds like it could be a lot of text compared to the other fields based on its name, so maybe it just takes a lot more time to read from disk, but if you could post the schema detail for the purchaseorders.product table or maybe the average length of that column that would help.
Otherswise I would try running the query a few times and see you consistently get the same time results. Could just be load on the database server the time you got the slower result.