I would like to add a UNION to this query , Where exactly Should I put any UNION (doesn't matter the code of the UNION , I just want to know where can I put it) in the following Flexible Search Query (I'm not familiar with the Syntax)
SELECT DISTINCT {o:pk} FROM
(
{{
SELECT
MAX({h.startTime}) AS startTime
FROM {CronJobHistory AS h JOIN CronJobResult AS r ON {h.result} = {r.pk} }
WHERE {h.cronJobCode} = 'ordersCronJob' AND {r.code} = 'SUCCESS'
}}
) LAST,
(
{{
SELECT
MAX({h.startTime}) AS startTime
FROM {CronJobHistory as h}
WHERE {h.cronJobCode} = 'ordersCronJob'
}}
) CURRENT, {Order AS o
JOIN PaymentMode AS pm ON {pm.pk} = {o:paymentMode}
JOIN BaseStore AS b ON {o.store} = {b.PK}
JOIN OrderProcess AS op ON {o.pk} = {op.order}
}
WHERE (({pm:code} != 'asm' AND {op:creationtime} > LAST.startTime AND {op:creationtime} <= CURRENT.startTime)
OR ({pm:code} = 'asm' AND {o:asmActivationTime} > LAST.startTime AND {o:asmActivationTime} <= CURRENT.startTime) )
AND {o:originalVersion} IS NULL
AND 'rows-eu,rows-es' LIKE CONCAT( '%', CONCAT( {b.uid} , '%' ) )
AND {op.processDefinitionName} LIKE 'order-process%'
I've tried putting it in the last line , but it doesn't compile.
Any hint?
For UNION queries or INNER queries, you will need to wrap the respective queries between double curly braces.
{{..query1..}} UNION {{..query2..}}
Check below example for flexible query union sample.
SELECT uniontable.PK, uniontable.CODE FROM
(
{{
SELECT {c:PK} as PK, {c:code} AS CODE FROM {Chapter AS c}
WHERE {c:PUBLICATION} LIKE ?pk
}}
UNION ALL
{{
SELECT {p:PK} as PK, {p:code} AS CODE FROM {Page AS p}
WHERE {p:PUBLICATION} LIKE ?pk
}}
) uniontable
You can find FlexibleSearch Tips and Tricks at
https://help.sap.com/viewer/d0224eca81e249cb821f2cdf45a82ace/1905/en-US/8bc36ba986691014b48be171221d1f4f.html
Hope it helps!
Fixed the first half of your query...
SELECT tbl.startTime FROM
(
{{
SELECT
MAX({h.startTime}) AS startTime
FROM {CronJobHistory AS h JOIN CronJobResult AS r ON {h.result} = {r.pk} }
WHERE {h.cronJobCode} = 'ordersCronJob' AND {r.code} = 'SUCCESS'
}}
UNION
{{
SELECT
MAX({h.startTime}) AS startTime
FROM {CronJobHistory as h}
WHERE {h.cronJobCode} = 'ordersCronJob'
}}
) tbl
Related
How can I convert below SQL to lambda or LINQ?
with cte
as (select * from test1
union all
select * from test2)
select * from cte
union all
select sum(columnA),sum(columnB),sum(columnC) from cte
In Linq UNION ALL is .Concat(), so:
var cte = test1.Concat(test2);
var sums = new MyModel
{
columnA = cte.Sum(c => c.columnA),
columnB = cte.Sum(c => c.columnB),
columnC = cte.Sum(c => c.columnC),
}
return cte.Concat(IEnumerable.Repeat(sums, 1));
You must remember that test1 and test2 must be type MyModel and MyModel contains only columnA, columnB and columnC.
I put two tables together in one datagridvie but in the last row of datagridview I need the total for both tables in the country, I can do one row in total for one table and another row for the other table I also don't need it, like I can only have one line with the total of both tables.
DataContex db = new DataContex();
var query = (
from v1 in db.View1
where shf.Date >= dpDate.Value && shf.Date <= dpDate1.Value
select new
{
v1.Name,
v1.Date,
v1.Quality,
v1.Rat,
v1.Total
}
).Concat
(
from v2 in db.View2
where f.Date >= dpDate.Value && f.Date <= dpDate1.Value
select new
{
v2.Name,
v2.Date,
v2.Quality,
v2.Rat,
v2.Total
}
).Concat
(from View2 in
(from v2 in db.View2
where v2.Date >= dpDate.Value && sh.Date <= dpDate1.Value
select new
{
v2.Name,
v2.Date,
v2.Quality,
v2.Rate,
v2.Total
})
group v2 by new { v2.NRFA } into g
select new
{
Name = "Total:",
Date = dpDate1.Value,
Quality = (decimal?)g.Sum(p => p.Quality),
Rate = (decimal?)g.Sum(p => p.Rate),
Total = (decimal?)g.Sum(p => p.Total)
}
);
Blockquote
I have a SQL statement like this:
(ROW_NUMBER() OVER (PARTITION BY a.[market], [MEASURE_TYPE]
ORDER BY AM, REP, ORDER_KEY)) AS ORDER_KEY
I want to write a DAX to implement the above SQL statement.
This is not as simple in DAX as in SQL. Here is an example:
Order Key Within Partition =
VAR CurrentMarket = [Market]
VAR CurrentMeasureType = [MeasureType]
VAR CurrentAM = [AM]
VAR CurrentREP = [REP]
VAR CurrentOrderKey = [OrderKey]
VAR CurrentPartition = FILTER (
a, -- the table name
[Market] = CurrentMarket
&& [MeasureType] = CurrentMeasureType
)
RETURN SUMX (
CurrentPartition,
IF (
ISONORAFTER (
CurrentAM, [AM], ASC,
CurrentREP, [REP], ASC,
CurrentOrderKey, [OrderKey], ASC
),
1
)
)
EDIT: Power Query would be better to achieve this.
let
/* Steps so far */
Source = ...,
...
a = ...,
/* End of steps so far */
/* Add steps below to add Order Key Within Partition column */
Partitions = Table.Group(
a,
{"Market", "MeasureType"}, {"Partition", each _}
)[Partition],
AddedOrderKeys = List.Transform(
Partitions,
each Table.AddIndexColumn(
Table.Sort(_, {"AM", "REP", "OrderKey"}),
"Order Key Within Partition",
1
)
),
Result = Table.Combine(AddedOrderKeys)
in
Result
I contribute with an alternative solution to the RANKX. The answer containing the Power Query is the correct one because avoid using calculated columns.
Sales[Sequence by Customer] =
VAR CurrentDate = Sales[Date]
VAR CurrentTime = Sales[Time]
RETURN COUNTROWS (
FILTER (
CALCULATETABLE (
Sales,
ALLEXCEPT ( Sales, Sales[Customer] )
),
Sales[Date] < CurrentDate
|| ( Sales[Date] = CurrentDate
&& Sales[Time] <= CurrentTime )
)
)
Source
I have three table below:
TABLE_PRODUCT (IdProduct, ProductName, ProductUnit)
TABLE_STORE_HOUSE (IdContain, IdProduct, ProductNumber, TimeInput)
TABLE_SELL (IdSell, IdContain, ProductNumberSell, TimeSell)
Current, How to using LinQ query get TABLE_STORE_HOUSE.IdProduct witch condition TABLE_STORE_HOUSE.ProductNumber - Sum(TABLE_SELL.ProductNumberSell) > 0 and TABLE_STORE_HOUSE.TimeInput is smallest
Help me convert Sql to Linq..............
select top 1 IdContain
from
TABLE_STORE_HOUSE
where IdProduct = '6'
and
ProductNumber - (select sum(ProductNumber)
from TABLE_SELL
Where TABLE_SELL.IdContain = IdContain)> 0
order by TimeInput desc;
Can you try this?
from t in TABLE_STORE_HOUSEs
let TSell = (
from s in TABLE_SELLs
where s.IdContain == t.IdContain
orderby s.ProductNumber
select new {
s.ProductNumber
}
)
where t.IdProduct == 6 && (t.ProductNumber - TSell.Sum(si => si.ProductNumber)) > 0
select new { t.IdContain }
for top 1 you can use Take() function.
There is a filed in my table that represents pathways like below:
Item1->Item1->Item2-> Item3->Item3->Item3->Item1
In most cases this is quite looong sequence with many instances of same consecutive Items.
How I can shorted above path to something like below? in BigQuery!
Item1(x2)->Item2->Item3(x3)->Item1
I wanted to convince myself that this was possible just through array manipulation (using standard SQL), and I came up with a solution. An alternate way to solve the problem would be to use analytic functions, where you could detect changes in item along the path.
CREATE TEMPORARY FUNCTION PartsToString(
parts_and_offsets ARRAY<STRUCT<part STRING, off INT64>>) AS ((
SELECT
STRING_AGG(
CONCAT(part_and_offset.part,
IF(parts_and_offsets[OFFSET(off + 1)].off - part_and_offset.off = 1,
"",
CONCAT("(x", CAST(parts_and_offsets[OFFSET(off + 1)].off - part_and_offset.off AS STRING), ")"))))
FROM UNNEST(parts_and_offsets) AS part_and_offset WITH OFFSET off
WHERE off + 1 < ARRAY_LENGTH(parts_and_offsets)
));
CREATE TEMPORARY FUNCTION PathwayToParts(pathway STRING) AS ((
SELECT
ARRAY_CONCAT(
ARRAY_AGG(
STRUCT(part, off)),
[STRUCT("" AS part, ARRAY_LENGTH(ANY_VALUE(parts)) AS off)]) AS parts_and_offsets
FROM (SELECT SPLIT(pathway, "->") AS parts),
UNNEST(parts) AS part WITH OFFSET off
WHERE off = 0 OR part != parts[OFFSET(off - 1)]
));
WITH YourTable AS (
SELECT "Item1->Item2->Item2->Item2->Item3->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item2->Item3->Item3->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item4" AS pathway
UNION ALL SELECT "Item1->Item2->Item2->Item3->Item1->Item1->Item1->Item2->Item3->Item3->Item2->Item2->Item2->Item1->Item4" AS pathway
UNION ALL SELECT "Item1->Item1->Item1" AS pathway
UNION ALL SELECT "Item1->Item2->Item2" AS pathway
UNION ALL SELECT "Item1->Item1->Item2" AS pathway
UNION ALL SELECT "Item1->Item2->Item3" AS pathway
)
SELECT PartsToString(PathwayToParts(pathway)) AS parts_string
FROM YourTable;
Using Scalar JS UDF (Standard SQL) <-- would be my choice
CREATE TEMPORARY FUNCTION collapse_repeated(pathway STRING)
RETURNS STRING LANGUAGE js AS """
var items = pathway.split('->');
short = ''; elem = items[0]; count = 0;
for (var i = 0; i < items.length; i++) {
if (items[i] !== elem) {
if (short.length > 0) {short += '->'}
short += elem; if (count > 1) {short += '(x' + count.toString() + ')';}
elem = items[i]; count = 1;
} else {
count++;
}
}
if (short.length > 0) {short += '->'}
short += elem; if (count > 1) {short += '(x' + count.toString() + ')';}
return short;
""";
WITH YourTable AS (
SELECT "Item1->Item2->Item2->Item2->Item3->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item2->Item3->Item3->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item4" AS pathway
UNION ALL SELECT "Item1->Item2->Item2->Item3->Item1->Item1->Item1->Item2->Item3->Item3->Item2->Item2->Item2->Item1->Item4" AS pathway
UNION ALL SELECT "Item1->Item1->Item1" AS pathway
UNION ALL SELECT "Item1->Item2->Item2" AS pathway
)
SELECT collapse_repeated(pathway) AS shorten_pathway, pathway
FROM YourTable
Note: Same JS can be easily “translated” to JS UDF in Legacy SQL
Using Window Functions (Legacy SQL)
SELECT GROUP_CONCAT_UNQUOTED(IF(repeats=1, item, CONCAT(item, "(x", STRING(repeats), ")")), "->"), pathway
FROM (
SELECT MIN(pos) AS ord, MIN(item) AS item, COUNT(1) AS repeats, pathway
FROM (
SELECT item, pos, IFNULL(grp, 0)AS grp, pathway FROM (
SELECT item, pos, SUM(change) OVER(PARTITION BY pathway ORDER BY pos ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING) AS grp, pathway
FROM (
SELECT item, pos, IF(item=next_item, 0, 1) AS change, pathway FROM (
SELECT item, pos, LEAD(item) OVER(PARTITION BY pathway ORDER BY pos) AS next_item, pathway
FROM (
SELECT item, POSITION(item) AS pos, pathway FROM (
SELECT SPLIT(pathway, "->") AS item, pathway FROM
(SELECT "Item1->Item2->Item2->Item2->Item3->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item2->Item3->Item3->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item2->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item1->Item4" AS pathway),
(SELECT "Item1->Item2->Item2->Item3->Item1->Item1->Item1->Item2->Item3->Item3->Item2->Item2->Item2->Item1->Item4" AS pathway),
(SELECT "Item1->Item1->Item1" AS pathway),
(SELECT "Item1->Item2->Item2" AS pathway)
)
)
)
)
)
)
GROUP BY grp, pathway
ORDER BY ord
)
GROUP BY pathway
How to convert INNER JOIN and LEFT JOIN in the following SQL query to LINQ to SQL? Thanks!
SELECT transactions.postdate,
transactions.clientkey AS TransClientKey,
transactions.type AS TransType,
clients.clientno,
Isnull(clients.nostmt, 0) AS CliNoStmt,
Isnull(aging.nostmt, 0) AS AgeNoStmt,
pmtchecks.*
FROM ((pmtchecks
INNER JOIN transactions
ON pmtchecks.transkey = transactions.transkey)
INNER JOIN clients
ON transactions.clientkey = clients.clientkey)
LEFT JOIN aging
ON ( transactions.clientkey = aging.clientkey )
AND ( pmtchecks.debtorkey = aging.debtorkey )
WHERE ( pmtchecks.debtorkey = 36927 )
AND ( transactions.status = 0 )
AND ( transactions.postdate <= '31-May-2012' )
AND ( ( transactions.postdate >= '01-May-2012' )
OR ( clients.clientno = 'UNKNOWN' ) )
ORDER BY pmtchecks.checkdate,
pmtchecks.checkno
Hi this is kind of dummy code i cnt say its exactly right but the idea will be exactly same to get the result
var anonymousType= (from pm in pmtchecks
join tr in transactions
on pm.transkey equals tr.transkey //INNERJOIN
join cl in clients
on tr.clientKey equals cl.clientKey
join ag in aging
on pm.debtorkey equals ag.debtorKey into ljoin //Left Join
from lj in ljoin.DefaultOrEmpty()
where pm.debortkey==36927 && tr.status==0 && tr.postdate<="31-May-2012" && tr.postdate>="01-May-2012" //u will have to change this to date format first
Select new {PostDate=tr.postdate, TransClientKey=tr.clientkey,TransType=tr.type,ClientNo=cl.clientno,CliNoStmt=cl.nomst ?? 0,AgeNoStmt=ag.nomst ??0,Pmtchecks=pm } //Anonymous type from this you can extract the values and fill to your custom type
).OrderBy(o=>o.Pmtchecks.checkdate).OrderBy(o=>o.Pmtchecks.checkno).ToList();
Hope this will help.
LINQ Query Samples
EDITED
var pmtchecks = from p in urcontext.pmtchecks
join t in urcontext.transactions on p.transkey equals t.transkey
join a in urcontext.aging on t.clientkey equals a.clientkey into details
from d in details.Where( a => ( a.debtorkey == p.debtorkey)).DefaultIfEmpty()
where (p.debtorkey == 36927 && t.status == 0 && t.postdate <= '31-May-2012'
&& (t.postdate >= '01-May-2012' || c.clientno == 'UNKNOWN' ))
orderby p.checkdate, p.checkno
select new
{
t.postdate,
t.clientkey,
// TransClientKey = t.clientkey, //only works if TransClientKey is property
t.type ,
//TransTypet = t.type ,//property
c.clientno,
c.nostmt,
//CliNoStmt = c.nostmt ?? 0,//property
a.nostmt//,
//AgeNoStmt = nostmt ?? 0,//property
//p. ... //follow above for p columns
};