Select distinct slows query - sql

So when I add DISTINCT to my query it goes from 0.062s to 0.152s?
How can this be?
Project is a index in the table target, so I don't know how I can speed this process up?
SELECT DISTINCT
`Project` AS `Value`
FROM
`Testreportingdebug`.`Target`
LEFT JOIN
`TestJob` ON `Target`.`TestJobId` = `TestJob`.`Id`
WHERE
`TestJob`.`Engine` = 'SeqZap';
Here is my two tables

Why are you surprised? The database has to do work to remove duplicates.
Assuming that project is not duplicated in target, you can just use exists:
select t.project
from Testreportingdebug.Target t
where exists (select 1
from TestJob tj
where t.TestJobId = tj.id and tj.Engine = 'SeqZap'
);
However, if project is not unique in Target, then you still need distinct:
select distinct t.project
from Testreportingdebug.Target t
where exists (select 1
from TestJob tj
where t.TestJobId = tj.id and tj.Engine = 'SeqZap'
);
For this query, you can try an index on Target(project, TestJobId).

Related

How to get different data from two different tables in SQL query?

I have two table named Soft and Web, table containing multiple data in that which data is different that data I want. For Ex :
In soft table containing 5 data i.e.
Also in Web table containing 5 data i.e.
Now I want output i.e.
I have done query but unfortunately didnt succed, lets see my query i.e.
SELECT DISTINCT soft.GSTNo AS SoftGST
,web.GSTNo AS WebGST
,soft.InvoiceNumber AS SoftInvoice
,web.InvoiceNumber AS WebInvoice
,soft.Rate AS SoftRate
,web.Rate AS WebRate
FROM soft
LEFT OUTER JOIN web ON web.GstNo = soft.GSTNo
AND web.InvoiceNumber = soft.invoicenumber
AND web.rate = soft.rate
Also I apply inner join bt same thing didnt work.
You can achieve this by
;WITH cte_soft AS
(SELECT * FROM soft
EXCEPT
SELECT * FROM web)
,cte_web AS
(SELECT * FROM web
EXCEPT
SELECT * FROM soft)
SELECT *
FROM
(SELECT gst softgst, NULL webgst, invoice softinvoice, NULL webinvoice, rate softrate, NULL webrate
FROM cte_soft
UNION ALL
SELECT NULL, gst, NULL, invoice, NULL , rate
FROM cte_web) tbl
ORDER BY coalesce(softgst, webgst),coalesce(softinvoice,webinvoice)
Fiddle
You can use full join:
SELECT s.gst as softgst, w.gst as webgst,
s.invoice as softinvoice, w.invoice as webinvoice,
s.rate as softrate, w.rate as webrate
FROM soft s FULL JOIN
web w
ON s.gst = w.gst AND s.invoice = w.invoice AND s.rate = w.rate
WHERE s.gst IS NULL OR w.gst IS NULL
ORDER BY COALESCE(s.gst, w.gst), COALESCE(s.invoice, w.invoice);
No subqueries are CTEs are needed. This is really just a slight variant of your query.

Check if a combination of fields already exists in the table

My weakest area of SQL are self JOINS, currently struggling with an issue.
I need to find the latest entry in a table, I'm using a WHERE DATEFIELD IN (SELECT MAX(DATEFIELD) FROM TABLE) to do this. I then need to establish if 3 columns from that already exist in the same TABLE.
My latest attempt looks like this -
SELECT * FROM PART_TABLE
WHERE NOT EXISTS
(
SELECT
t1.DATEFIELD
t1.CODE1
t1.CODE2
t1.CODE3
FROM PART_TABLE t1
INNER JOIN PART_TABLE t2 ON t1.UNIQUE = t2.UNQIUE
)
WHERE t1.DATEFIELD IN
(
SELECT MAX(DATEFIELD)
FROM PARTTABLE
)
)
I think part of the issue is that I can't exclude the unique row from t1 when checking in t2 using this method.
Using MSSQL 2014.
The following query will return the latest record from your table and a bit flag whether a duplicate tuple {Code1, Code2, Code3} exists in it under a different identifier:
select top (1) p.*,
case when exists (
select 0 from dbo.Part_Table t where t.Unique != p.Unique
and t.Code1 = p.Code1 and t.Code2 = p.Code2 and t.Code3 = p.Code3
) then 1
else 0 end as [IsDuplicateExists]
from dbo.Part_Table p
order by p.DateField desc;
You can use this example as a template to address your specific needs, which unfortunately aren't immediately apparent from your explanation.

Improve update performance in oracle

I've generated two temporary tables, also assigned a primary key to the generated tables - to get an index on them.
Like this on both:
ALTER TABLE TEMP_MEASURINGS ADD PRIMARY KEY (MEASURINGID)
ALTER TABLE TEMP_VALUES ADD PRIMARY KEY (<some_other_col>)
The two temp-tables are related by a date and another id as you can see by the query. Now I need to update the "measuringid" in TEMP_VALUES based on the other table.
Can I make this query go faster in any way?
UPDATE TEMP_VALUES v
SET v.MEASURINGID =
(
SELECT MEASURINGID
FROM TEMP_MEASURINGS m
WHERE m.MEASURDATE = v.MEASUREDATE
AND m.ORDERID = v.ORDERID
)
The tables needs to be generated first, so I can't do an insert directly.
SELECT COUNT(*) FROM TEMP_VALUES ~6M
SELECT COUNT(*) FROM TEMP_MEASURINGS ~1.5M
Your query is going to be slow, because so many rows are being updated.
You can speed it with an index on TEMP_MEASURINGS(MEASUREDATE, ORDERID, MEASURINGID). This is a covering index for the subquery. The lookups should be fast.
You might find it faster just to create a new table:
create new_temp_values as
select v.*, m.measuringid
from temp_values v left join
temp_measurings m
on v.measuredate = m.measuredate and v.orderid = m.orderid;
The same index will work here (you can adjust the select columns to be what you really need).
Typically, creating a new table is much, much faster than updating all or even a significant number of rows in a given table.
Try with below merge for peformance:
MERGE TEMP_VALUES v
USING (SELECT MEASURINGID,
MEASURDATE,
ORDERID
FROM TEMP_MEASURINGS) m
ON
m.MEASURDATE = v.MEASUREDATE
AND m.ORDERID = v.ORDERID
WHEN MATCHED THEN
UPDATE
SET v.MEASURINGID = m.MEASURINGID;
Instead of updating all records you can update records that exists in temp table:
UPDATE TEMP_VALUES v
SET v.MEASURINGID =
(
SELECT MEASURINGID
FROM TEMP_MEASURINGS m
WHERE m.MEASURDATE = v.MEASUREDATE
AND m.ORDERID = v.ORDERID
)
where
exists (select 1 from TEMP_VALUES ttt, TEMP_MEASURINGS ttm WHERE ttm.MEASURDATE = ttt.MEASUREDATE
AND ttm.ORDERID = ttt.ORDERID and ttt.ID = v.ID)

Oracle SQL XOR condition with > 14 tables

I have a question on sql desgin.
Context:
I have a table called t_master and 13 other tables (lets call them a,b,c... for simplicity) where it needs to compared.
Logic:
t_master will be compared to table 'a' where t_master.gen_val =
a.value.
If record exist in t_master, retrieve t_master record, else retrieve 'a' record.
I do not need to retrieve the records if it exists in both tables (t_master and a) - XOR condition
Repeat this comparison with the remaining 12 tables.
I have some idea on doing this, using WITH to subquery the non-master tables (a,b,c...) first with their respective WHERE clause.
Then use XOR statement to retrieve the records.
Something like
WITH a AS (SELECT ...),
b AS (SELECT ...)
SELECT field1,field2...
FROM t_master FULL OUTER JOIN a FULL OUTER JOIN b FULL OUTER JOIN c...
ON t_master.gen_value = a.value
WHERE ((field1 = x OR field2 = y ) AND NOT (field1 = x AND field2 = y))
AND ....
.
.
.
.
Seeing that I have 13 tables that I need to full outer join, is there a better way/design to handle this?
Otherwise I would have at least 2*13 lines of WHERE clause which I'm not sure if that will have impact on the performance as t_master is sort of a log table.
**Assume I cant change any schema.
Currently I'm not sure if this SQL will working correctly yet, so I'm hoping someone can guide me in the right direction regarding this.
update from used_by_already's suggestion:
This is what I'm trying to do (comparison between 2 tables first, before I add more, but I am unable to get values from ATP_R.TBL_HI_HDR HI_HDR as it is in the NOT EXISTS subquery.
How do i overcome this?
SELECT LOG_REPO.UNIQ_ID,
LOG_REPO.REQUEST_PAYLOAD,
LOG_REPO.GEN_VAL,
LOG_REPO.CREATED_BY,
TO_CHAR(LOG_REPO.CREATED_DT,'DD/MM/YYYY') AS CREATED_DT,
HI_HDR.HI_NO R_VALUE,
HI_HDR.CREATED_BY R_CREATED_BY,
TO_CHAR(HI_HDR.CREATED_DT,'DD/MM/YYYY') AS R_CREATED_DT
FROM ATP_COMMON.VW_CMN_LOG_GEN_REPO LOG_REPO JOIN ATP_R.TBL_HI_HDR HI_HDR ON LOG_REPO.GEN_VAL = HI_HDR.HI_NO
WHERE NOT EXISTS
(SELECT NULL
FROM ATP_R.TBL_HI_HDR HI_HDR
WHERE LOG_REPO.GEN_VAL = HI_HDR.HI_NO
)
UNION ALL
SELECT LOG_REPO.UNIQ_ID,
LOG_REPO.REQUEST_PAYLOAD,
LOG_REPO.GEN_VAL,
LOG_REPO.CREATED_BY,
TO_CHAR(LOG_REPO.CREATED_DT,'DD/MM/YYYY') AS CREATED_DT,
HI_HDR.HI_NO R_VALUE,
HI_HDR.CREATED_BY R_CREATED_BY,
TO_CHAR(HI_HDR.CREATED_DT,'DD/MM/YYYY') AS R_CREATED_DT
FROM ATP_R.TBL_HI_HDR HI_HDR JOIN ATP_COMMON.VW_CMN_LOG_GEN_REPO LOG_REPO ON HI_HDR.HI_NO = LOG_REPO.GEN_VAL
WHERE NOT EXISTS
(SELECT NULL
FROM ATP_COMMON.VW_CMN_LOG_GEN_REPO LOG_REPO
WHERE HI_HDR.HI_NO = LOG_REPO.GEN_VAL
)
Full outer joins used to exclude all matching rows can be an expensive query. You don't supply much detail, but perhaps using NOT EXISTS would be simpler and maybe it will produce a better explain plan. Something along these lines.
select
cola,colb,colc
from t_master m
where not exists (
select null from a where m.keycol = a.fk_to_m
)
and not exists (
select null from b where m.keycol = b.fk_to_m
)
and not exists (
select null from c where m.keycol = c.fk_to_m
)
union all
select
cola,colb,colc from a
where not exists (
select null from t_master m where a.fk_to_m = m.keycol
)
union all
select
cola,colb,colc from b
where not exists (
select null from t_master m where b.fk_to_m = m.keycol
)
union all
select
cola,colb,colc from c
where not exists (
select null from t_master m where c.fk_to_m = m.keycol
)
You could union the 13 a,b,c ... tables to simplify the coding, but that may not perform so well.

Ms Access query to SQL Server - DistinctRow

What would the syntax be to convert this MS Access query to run in SQL Server as it doesn't have a DistinctRow keyword
UPDATE DISTINCTROW [MyTable]
INNER JOIN [AnotherTable] ON ([MyTable].J5BINB = [AnotherTable].GKBINB)
AND ([MyTable].J5BHNB = [AnotherTable].GKBHNB)
AND ([MyTable].J5BDCD = [AnotherTable].GKBDCD)
SET [AnotherTable].TessereCorso = [MyTable].[J5F7NR];
DISTINCTROW [MyTable] removes duplicate MyTable entries from the results. Example:
select distinctrow items
items.item_number, items.name
from items
join orders on orders.item_id = items.id;
In spite of the join getting you the same item_number and name multiple times when there is more than one order for it, DISTINCTROW reduces this to one row per item. So the whole join is merely for assuring that you only select items for which exist at least one order. You don't find DISTINCTROW in any other DBMS as far as I know. Probably because it is not needed. When checking for existence, we use EXISTS of course (or IN for that matter).
You are joining MyTable and AnotherTable and expect for some reason to get the same MyTable record multifold for one AnotherTable record, so you use DISTINCTROW to only get it once. Your query would (hopefully) fail if you got two different MyTable records for one AnotherTable record.
What the update does is:
update anothertable
set tesserecorso = (select top 1 j5f7nr from mytable where mytable.j5binb = anothertable.gkbinb and ...)
where exists (select * from mytable where mytable.j5binb = anothertable.gkbinb and ...)
But this uses about the same subquery twice. So we'd want to update from a query instead.
The easiest way to get one result record per <some columns> in a standard SQL query is to aggregate data:
select *
from anothertable a
join
(
select j5binb, j5bhnb, j5bdcd, max(j5f7nr) as j5f7nr
from mytable
group by j5binb, j5bhnb, j5bdcd
) m on m.j5binb = a.gkbinb and m.j5bhnb = a.gkbhnb and m.j5bdcd = a.gkbdcd;
How to write an updateble query is different from one DBMS to another. Here is the final update statement for SQL-Server:
update a
set a.tesserecorso = m.j5f7nr
from anothertable a
join
(
select j5binb, j5bhnb, j5bdcd, max(j5f7nr) as j5f7nr
from mytable
group by j5binb, j5bhnb, j5bdcd
) m on m.j5binb = a.gkbinb and m.j5bhnb = a.gkbhnb and m.j5bdcd = a.gkbdcd;
The DISTINCTROW predicate in MS Access SQL removes duplicates across all fields of a table in join statements and not just the selected fields of query (which DISTINCT in practically all SQL dialects do). So consider selecting all fields in a derived table with DISTINCT predicate:
UPDATE [AnotherTable]
SET [AnotherTable].TessereCorso = main.[J5F7NR]
FROM
(SELECT DISTINCT m.* FROM [MyTable] m) As main
INNER JOIN [AnotherTable]
ON (main.J5BINB = [AnotherTable].GKBINB)
AND (main.J5BHNB = [AnotherTable].GKBHNB)
AND (main.J5BDCD = [AnotherTable].GKBDCD)
Another variant of the query.. (Too lazy to get the original tables).
But like the query above updates 35 rows =, so does this one
UPDATE [Albi-Anagrafe-Associati]
SET
[Albi-Anagrafe-Associati].CRegDitte = [055- Registri ditte].[CRegDitte],
[Albi-Anagrafe-Associati].NIscrTribunale = [055- Registri ditte].[NIscrTribunale],
[Albi-Anagrafe-Associati].NRegImprese = [055- Registri ditte].[NRegImprese]
FROM [055- Registri ditte]
WHERE EXISTS(
SELECT *
FROM [055- Registri ditte]-- [Albi-Anagrafe-Associati]
WHERE ([055- Registri ditte].GIBINB = [Albi-Anagrafe-Associati].GKBINB)
AND ([055- Registri ditte].GIBHNB = [Albi-Anagrafe-Associati].GKBHNB)
AND ([055- Registri ditte].GIBDCD = [Albi-Anagrafe-Associati].GKBDCD))
Update [AnotherTable]
Set [AnotherTable].TessereCorso = MyTable.[J5F7NR]
From [AnotherTable]
Inner Join
(
Select Distinct [J5BINB],[5BHNB],[J5BDCD]
,(Select Top 1 [J5F7NR] From MyTable) as [J5F7NR]
,[J5BHNB]
From MyTable
)as MyTable
On (MyTable.J5BINB = [AnotherTable].GKBINB)
AND (MyTable.J5BHNB = [AnotherTable].GKBHNB)
AND (MyTable.J5BDCD = [AnotherTable].GKBDCD)