CREATE TABLE payment
(`serial` int, `startdat` varchar(50),
`enddat` varchar(50), `periode` varchar(50), `money` varchar(50))
;
INSERT INTO payment
(`serial`, `startdat`, `enddat` , `periode` , `money` )
VALUES
(1, '20180102','20200101','24','100'),
(2, '20170102','20200101','36','100'),
(3,'20180102','20190101','12','100');
SELECT
(
IF (
PERIODE = 24,
(
IF (
(
'2018' BETWEEN (YEAR(STARTDAT))
AND (YEAR(ENDDATE))
),
0,
(
((money* 0.3) / 12) * (
IF (
(
'2018' BETWEEN (YEAR(STARTDAT))
AND (YEAR(ENDDATE))
),
`12`,
(
IF (
(`2018` = YEAR(STARTDAT)),
(`12` - MONTH(STARTDAT) + 1),
(
IF (
('2018' = YEAR(ENDDATE)),
(MONTH(ENDDATE) - 1),
''
)
)
)
)
)
)
)
)
),
(
IF (
PERIODE = 36,
(
IF (
(
'2018' BETWEEN (YEAR(STARTDAT))
AND (YEAR(ENDDATE))
),
0,
(
((money* 0.2) / `12`) * (
IF (
(
'2018' BETWEEN (YEAR(STARTDAT))
AND (YEAR(ENDDATE))
),
`12`,
(
IF (
`2018` = YEAR (STARTDAT),
(`12` - MONTH(STARTDAT) + 1),
(
IF ((`2018` = YEAR (ENDDATE)),(MONTH(ENDDATE) - 1)),null)
)
)
)
)
)
)
)
),
(
IF (
(
'2018' BETWEEN (YEAR(STARTDAT))
AND (YEAR(ENDDATE))
),
0,
((money* 0.6) / `12`) * (
IF (
(
'2018' BETWEEN (YEAR(STARTDAT))
AND (YEAR(ENDDATE))
),
`12`,
(
IF (
(`2018` = YEAR(STARTDAT)),
(`12` - MONTH(STARTDAT) + 1),
(
IF (
`2018` = YEAR (ENDDATE),
(MONTH(ENDDATE) - 1),
''
)
)
)
)
)
)
)
)
)
)
) AS '2018'
FROM
payment
Related
I'm working on a ranking/scoring system and I'm missing the PERCENTRANK.INC function in powerBI. Instead I have worked out below formula which is the closest I can get.
Score =
DIVIDE (
RANKX (
FILTER ( 'Table', NOT ( ISBLANK ( [Sold amounts] ) ) ),
[Sold amounts],
,
ASC
) - 1,
COUNTROWS ( FILTER ( 'Table', NOT ( ISBLANK ( [Sold amounts] ) ) ) ) - 1
)
I really want to have the formula to take the type of "Fruit" into account in my scoring/ranking.
In short each fruit should be scored separately, with a range per fruit sold.
Could this somehow be done with a variable (VAR)?
Example of data:
This should work.
Score =
VAR fruit = 'Table'[Fruit]
VAR filteredTable = FILTER ( 'Table', NOT ( ISBLANK ( [Sold amount] ) ) && 'Table'[Fruit] = fruit)
RETURN
DIVIDE (
RANKX (
filteredTable,
[Sold amount],
,
ASC
) - 1,
COUNTROWS ( filteredTable ) - 1
)
I created a table a DAX Studio and want to repeat all the rows (with all the columns) in a new table multiple times; to my choosing.
//create temp table of Historic Facilities for all annual groups 1 to 3
TABLE HistFac =
ADDCOLUMNS ( FacSchHist,
"Rank", RANKX ( FacSchHist, [WtAvg] ),
"Annual Group", (RANKX ( FacSchHist, [WtAvg] ) - FLOOR((RANKX ( FacSchHist, [WtAvg] ) - 1) /3 * 3,3)))
EVALUATE
NonHistFac
ORDER BY [Annual Group],
[WtAvg] DESC
I want the maintain the original order in the repeated list. There are obviously many ways to construct a table (see code above); however, how does one repeat the list of rows?
Thanks you for any suggestions.
Try to remove the filters that are affecting the measure inside RANKX because of the context transition coming from the table provide in the first argument of GENERATE
DEFINE
TABLE HistFac =
GENERATE (
{ 1, 2, 3 },
ADDCOLUMNS (
ADDCOLUMNS (
FacSchHist,
"#Rank",
RANKX (
FacSchHist,
CALCULATE ( [WtAvg], REMOVEFILTERS ( TableSupliedInTheFirstArgument ) )
)
),
"Annual Group",
[#Rank]
- FLOOR ( ( [#Rank] - 1 ) / 3 * 3, 3 )
)
)
EVALUATE
NonHistFac
ORDER BY
[Annual Group],
[WtAvg] DESC
Or simply use variables to compute in a different filter context.
DEFINE
TABLE HistFac =
VAR RankedTable =
ADDCOLUMNS ( FacSchHist, "#Rank", RANKX ( FacSchHist, [WtAvg] ) )
VAR SomeCalculationOnRankedTable =
ADDCOLUMNS (
RankedTable,
"Annual Group",
[#Rank]
- FLOOR ( ( [#Rank] - 1 ) / 3 * 3, 3 )
)
RETURN
GENERATE ( { 1, 2, 3 }, SomeCalculationOnRankedTable )
EVALUATE
NonHistFac
ORDER BY
[Annual Group],
[WtAvg] DESC
You can use GENERATE for repeating the rows:
DEFINE
TABLE HistFac =
GENERATE (
{ 1, 2, 3 },
ADDCOLUMNS (
FacSchHist,
"Rank", RANKX ( FacSchHist, [WtAvg] ),
"Annual Group",
(
RANKX ( FacSchHist, [WtAvg] )
- FLOOR ( ( RANKX ( FacSchHist, [WtAvg] ) - 1 ) / 3 * 3, 3 )
)
)
)
EVALUATE
NonHistFac
ORDER BY
[Annual Group],
[WtAvg] DESC
A better way to write this code will be to use nested ADDCOLUMNS:
DEFINE
TABLE HistFac =
GENERATE (
{ 1, 2, 3 },
ADDCOLUMNS (
ADDCOLUMNS ( FacSchHist, "#Rank", RANKX ( FacSchHist, [WtAvg] ) ),
"Annual Group",
[#Rank]
- FLOOR ( ( [#Rank] - 1 ) / 3 * 3, 3 )
)
)
EVALUATE
NonHistFac
ORDER BY
[Annual Group],
[WtAvg] DESC
AntrikshSharma - I will give those a try now , appreciate your guidance.
Okay, the code worked fine; but uncovered a problem. After the initial ranking of the list, and before the replication - I do not want to continue ranking.
In other words, I want the initial ranked-list to be reproduced 3x without any further ranking; just have each duplicated occurrence appear after the initial list in the exact order.
If the initial list was 12345, then 12345,12345,12345 - thank you for the more efficient code as well.
AntrikshSharma, your comment and code, "Or simply use variables to compute in a different filter context" is genius. The code performed as expected. The problem I'm experiencing is with the UNION of the two tables "NonHistFac" and "HistFac". I will provide an image to explain then the most current code.
15yr cycle of Hist & NonHist Facilities
The image shows the goal. combine the NonHistFac (all surveyed every 5yrs) with the HistFac (all surveyed every 3yrs). The original ranking must be maintained (this is currently met.)
Here is the problem. The numbers within the image are the Values as produced by the GENERATE function. When the tables are combined and the NonHistFac are mixed with the HistFac, they are not evenly distributed throughout the 1 to 5 Values.
What appears in Values 4 and 5 is obviously the remaining HistFac. I need to have the entire combination distributed from 1 to 5; or as shown, over the 15 year cycle.
Thank you.
// produce non-historic table with additional columns and replicate all rows 3x
TABLE NonHistFac =
VAR NonHistRankedTable =
ADDCOLUMNS ( FacSchNonHist, "#Rank", RANKX ( FacSchNonHist, [WtAvg] ) )
VAR NonHistAnnualizedRankedTable =
ADDCOLUMNS (
NonHistRankedTable,
"Annual Group",
[#Rank] - FLOOR ( ( [#Rank] - 1 ) / 5 * 5, 5 )
)
RETURN
GENERATE ( { 1, 2, 3 }, NonHistAnnualizedRankedTable )
// from the FLOOR & GENERATE functions, 5 x 3 = 15 (this is a 15 year cycle)
//produce historic facility table with additional columns and replicate all rows 5x
TABLE HistFac =
VAR HistRankedTable =
ADDCOLUMNS ( FacSchHist, "#Rank", RANKX ( FacSchHist, [WtAvg] ) )
VAR HistAnnualizedRankedTable =
ADDCOLUMNS (
HistRankedTable,
"Annual Group",
[#Rank] - FLOOR ( ( [#Rank] - 1 ) / 3 * 3, 3 )
)
RETURN
GENERATE ( { 1, 2, 3, 4, 5 }, HistAnnualizedRankedTable )
// from the FLOOR & GENERATE functions, 3 x 5 = 15 (this is a 15 year cycle)
// combine the tables NonHistFac & HistFac to create one-table representing a 15 yr cycle
VAR FacSchUnion =
UNION(
NonHistFac,
HistFac
)
VAR FacSch15yr =
DISTINCT(FacSchUnion)
EVALUATE
FacSch15yr
ORDER BY [Value],
[Annual Group],
[WtAvg] DESC
So, I have this query that's just making me go crazy. For some crazy reason, the query runs and brings the desired output on PLSQL Developer, but on SQL Developer it doesn't! As far as I know, the exact same query should work on both, not just one or the other. Not everybody at my team has PLSQL Dev, so it has to work on both. This query also shows different behaviour on my BI Application. Has anyone seen this crazy behaviour before?
Here's the query:
with t1 as (
SELECT
case when CLG_STATUS.NM_STATUS in ('1 - ATIVO','5 - BLOQUEADO','7 - AGUARDANDO AUTENTICAÇÃO') then 'LG Club Member'
else 'Non Member'
end membership,
Round(
Round(SUM(NVL(CASE WHEN CLG_VENDA.CD_TP_VENDA = 'D' THEN -1*CLG_VENDA.QTD_VENDA ELSE CLG_VENDA.QTD_VENDA END,0)), 1)
/
Count(distinct CLG_PARTICIPANTE.ID)
, 1) as average_sales ,
Round(
SUM(NVL(CASE WHEN CLG_VENDA.CD_TP_VENDA = 'D' THEN -1*CLG_VENDA.QTD_VENDA ELSE CLG_VENDA.QTD_VENDA END,0))
, 1) as sellout,
Count(distinct CLG_PARTICIPANTE.ID)
as "qty members"
FROM
CLG_VENDA_PONTO,
CLG_PARTICIPANTE,
CLG_STATUS,
CLG_VENDA,
CLG_CARGO CLG_CARGO_VENDA,
CLG_CANAL CLG_CANAL_VENDA,
CLG_REDE CLG_REDE_VENDA,
CLG_PRODUTO,
CLG_TP_MOVIMENTO,
DIM_PERIOD_DAY PERIOD_VENDA_DATA,
CLG_LOJA CLG_LOJA_VENDA
WHERE
( CLG_VENDA_PONTO.ID_VENDA=CLG_VENDA.ID(+) )
AND ( CLG_VENDA_PONTO.ID_PROD=CLG_PRODUTO.ID(+) )
AND ( CLG_VENDA_PONTO.ID_CARGO=CLG_CARGO_VENDA.ID )
AND ( CLG_LOJA_VENDA.ID=CLG_VENDA_PONTO.ID_LOJA )
AND ( CLG_REDE_VENDA.ID=CLG_LOJA_VENDA.ID_REDE )
AND ( CLG_CANAL_VENDA.ID=CLG_VENDA_PONTO.ID_CANAL )
AND ( CLG_PARTICIPANTE.ID_LOJA=CLG_LOJA_VENDA.ID )
AND ( CLG_LOJA_VENDA.ID_REDE=CLG_REDE_VENDA.ID )
AND ( CLG_PARTICIPANTE.ID=CLG_VENDA_PONTO.ID_PARTCPTE )
AND ( CLG_VENDA_PONTO.ID_TP_MOVIMENTO=CLG_TP_MOVIMENTO.ID )
AND ( CLG_STATUS.ID=CLG_PARTICIPANTE.ID_STATUS )
AND ( CLG_VENDA_PONTO.DATA_VENDA=PERIOD_VENDA_DATA.YYYYMMDD )
AND ( CLG_CARGO_VENDA.NM_CARGO = '5 - VENDEDOR' OR CLG_VENDA.ID_CARGO = 8 )
AND
(
CLG_PRODUTO.NM_PRODUTO NOT IN ( 'M4338 - FRETE','R39745 - FRETE SOBRE VENDAS' )
AND
CLG_TP_MOVIMENTO.NM_MOVIMENTO IN ( '1 - VENDA','3 - DEVOLUCAO' )
AND
CLG_REDE_VENDA.NM_REDE = '21540901 - RABELO'
AND
PERIOD_VENDA_DATA.YYYYMMDD_DATE BETWEEN to_date('01-01-2013', 'DD-MM-YYYY') AND to_date('31-12-2013', 'DD-MM-YYYY')
AND
CLG_CANAL_VENDA.NM_CANAL IN ('1 - VAREJO')
AND
CLG_PRODUTO.FG_MAPEADO IN ( 'SIM' )
)
GROUP BY
case when CLG_STATUS.NM_STATUS in ('1 - ATIVO','5 - BLOQUEADO','7 - AGUARDANDO AUTENTICAÇÃO') then 'LG Club Member'
else 'Non Member'
end
), t2 as (
SELECT
case when CLG_STATUS.NM_STATUS in ('1 - ATIVO','5 - BLOQUEADO','7 - AGUARDANDO AUTENTICAÇÃO') then 'LG Club Member'
else 'Non Member'
end membership,
Round(
Round(SUM(NVL(CASE WHEN CLG_VENDA.CD_TP_VENDA = 'D' THEN -1*CLG_VENDA.QTD_VENDA ELSE CLG_VENDA.QTD_VENDA END,0)), 1)
/
Count(distinct CLG_PARTICIPANTE.ID)
, 1) as average_sales ,
Round(
SUM(NVL(CASE WHEN CLG_VENDA.CD_TP_VENDA = 'D' THEN -1*CLG_VENDA.QTD_VENDA ELSE CLG_VENDA.QTD_VENDA END,0))
, 1) as sellout,
Count(distinct CLG_PARTICIPANTE.ID)
as "qty members"
FROM
CLG_VENDA_PONTO,
CLG_PARTICIPANTE,
CLG_STATUS,
CLG_VENDA,
CLG_CARGO CLG_CARGO_VENDA,
CLG_CANAL CLG_CANAL_VENDA,
CLG_REDE CLG_REDE_VENDA,
CLG_PRODUTO,
CLG_TP_MOVIMENTO,
DIM_PERIOD_DAY PERIOD_VENDA_DATA,
CLG_LOJA CLG_LOJA_VENDA
WHERE
( CLG_VENDA_PONTO.ID_VENDA=CLG_VENDA.ID(+) )
AND ( CLG_VENDA_PONTO.ID_PROD=CLG_PRODUTO.ID(+) )
AND ( CLG_VENDA_PONTO.ID_CARGO=CLG_CARGO_VENDA.ID )
AND ( CLG_LOJA_VENDA.ID=CLG_VENDA_PONTO.ID_LOJA )
AND ( CLG_REDE_VENDA.ID=CLG_LOJA_VENDA.ID_REDE )
AND ( CLG_CANAL_VENDA.ID=CLG_VENDA_PONTO.ID_CANAL )
AND ( CLG_PARTICIPANTE.ID_LOJA=CLG_LOJA_VENDA.ID )
AND ( CLG_LOJA_VENDA.ID_REDE=CLG_REDE_VENDA.ID )
AND ( CLG_PARTICIPANTE.ID=CLG_VENDA_PONTO.ID_PARTCPTE )
AND ( CLG_VENDA_PONTO.ID_TP_MOVIMENTO=CLG_TP_MOVIMENTO.ID )
AND ( CLG_STATUS.ID=CLG_PARTICIPANTE.ID_STATUS )
AND ( CLG_VENDA_PONTO.DATA_VENDA=PERIOD_VENDA_DATA.YYYYMMDD )
AND ( CLG_CARGO_VENDA.NM_CARGO = '5 - VENDEDOR' OR CLG_VENDA.ID_CARGO = 8 )
AND
(
CLG_PRODUTO.NM_PRODUTO NOT IN ( 'M4338 - FRETE','R39745 - FRETE SOBRE VENDAS' )
AND
CLG_TP_MOVIMENTO.NM_MOVIMENTO IN ( '1 - VENDA','3 - DEVOLUCAO' )
AND
CLG_REDE_VENDA.NM_REDE = '21540901 - RABELO'
AND
PERIOD_VENDA_DATA.YYYYMMDD_DATE BETWEEN add_months(to_date('01-01-2013', 'DD-MM-YYYY'), -12) AND add_months(to_date('31-12-2013', 'DD-MM-YYYY'), -12)
AND
CLG_CANAL_VENDA.NM_CANAL IN ('1 - VAREJO')
AND
CLG_PRODUTO.FG_MAPEADO IN ( 'SIM' )
)
GROUP BY
case when CLG_STATUS.NM_STATUS in ('1 - ATIVO','5 - BLOQUEADO','7 - AGUARDANDO AUTENTICAÇÃO') then 'LG Club Member'
else 'Non Member'
end
)
select t1.*, coalesce((t1.average_sales - t2.average_sales) / t2.average_sales, 0) as variation
from t1 join t2 on t1.membership = t2.membership
On SQL Developer it displays this:
ORA-00928: missing SELECT keyword
00928. 00000 - "missing SELECT keyword"
I'm totally at a loss here. How can a query parse at one tool and not the other ? I tried searching around the net but to no avail.
Thanks in advance!
It might be the line,
/
SQL Plus uses / by itself to mark the end of a sql query, and SQL Developer most likely follows. However, the preceding whitespace may change the meaning, so this may not be the problem.
To test this hypothesis move the / to the preceding line. Change
Round(SUM(NVL(CASE WHEN CLG_VENDA.CD_TP_VENDA = 'D' THEN -1*CLG_VENDA.QTD_VENDA ELSE CLG_VENDA.QTD_VENDA END,0)), 1)
/
Count(distinct CLG_PARTICIPANTE.ID)
To
Round(SUM(NVL(CASE WHEN CLG_VENDA.CD_TP_VENDA = 'D' THEN -1*CLG_VENDA.QTD_VENDA ELSE CLG_VENDA.QTD_VENDA END,0)), 1) /
Count(distinct CLG_PARTICIPANTE.ID)
If that is the problem, then it is a matter of reformatting to something that works for you that doesn't leave / on a line by itself.
I'm trying to delete rows in a table only when there is a corresponding entry with a negative amount. The tricky part is there could be more positive than negative or more negative than positive.
value1 amt
12345 50
12345 50
12345 -50
12345 -50
abcde 40
abcde 40
abcde -40
11111 30
11111 -30
11111 -30
The result should be:
abcde 40
11111 -30
I have to apologize. I realized the posters data set was too simple. Here is a revised answer that I believe works.
Basically, you need to partition into pairs and then delete the pairs having sum() = 0.
create table t ( id varchar2(20), val number );
delete from t;
INSERT INTO t ( id, val ) values ( '12345', 50);
INSERT INTO t ( id, val ) values ( '12345', 50);
INSERT INTO t ( id, val ) values ( '12345', -50);
INSERT INTO t ( id, val ) values ( '12345', -50);
INSERT INTO t ( id, val ) values ( 'abcde', 40);
INSERT INTO t ( id, val ) values ( 'abcde', 40);
INSERT INTO t ( id, val ) values ( 'abcde', 20);
INSERT INTO t ( id, val ) values ( 'abcde', 40);
INSERT INTO t ( id, val ) values ( 'abcde', -40);
INSERT INTO t ( id, val ) values ( '11111', 30);
INSERT INTO t ( id, val ) values ( '11111', -30);
INSERT INTO t ( id, val ) values ( '11111', -30);
INSERT INTO t ( id, val ) values ( 'aaaaa', 10);
INSERT INTO t ( id, val ) values ( 'aaaaa', -30);
COMMIT;
MERGE INTO t
USING (WITH value_partition AS
(SELECT t.*,
ROW_NUMBER () OVER (PARTITION BY t.id, t.val ORDER BY ROWID) rn_in_value
FROM t)
SELECT sp.ROWID row_id,
sp.*,
CASE WHEN SUM (sp.val) OVER (PARTITION BY sp.id, ABS (sp.val), rn_in_value) = 0 THEN 'N' ELSE 'Y' END
keep_row
FROM value_partition sp) u
ON (t.ROWID = u.row_id
AND u.keep_row = 'N')
WHEN MATCHED THEN
UPDATE SET t.val = u.val
DELETE
WHERE u.keep_row = 'N';
SELECT * FROM t;
I have a sql query which is performing badly, It is causing table scans / IO spikes. Please check the below script and the execution plan and let me know if it requires any indexes or refactoring of the query itself. Thanks
--Query
SELECT TOP 20
CustomerPrimaryExtID,
Max(POSTimeStamp) AS TransactionDate,
ExtLocationCode,
0 AS RedemptionAmount,
0 AS RedemptionCount,
TerminalNum,
LogixTransNum,
POSTransNum AS TransNum,
0 AS DetailRecords,
CustomerTypeID,
PresentedCustomerID,
PresentedCardTypeID,
HHID,
Replayed,
0 AS TransContext,
ISNULL(TransTotal, 0) AS TransTotal
FROM TransHist AS TH WITH(nolock)
WHERE
(
(
( CustomerPrimaryExtID IN ( '' ) AND HHID IS NULL )
OR HHID = '0000000250000007320' AND CustomerTypeID <> 1
) OR ( CustomerPrimaryExtID = '0000000250000007320' AND CustomerTypeID = 1 )
)
AND NOT EXISTS
(
SELECT
LogixTransNum
FROM TransRedemptionView AS TR2
WHERE
(
( ( CustomerPrimaryExtID IN ( '' ) AND HHID IS NULL ) OR HHID = '0000000250000007320' AND CustomerTypeID <> 1 )
OR ( CustomerPrimaryExtID = '0000000250000007320' AND CustomerTypeID = 1 )
)
AND TH.LogixTransNum = TR2.LogixTransNum
)
GROUP BY
CustomerPrimaryExtID,
HHID,
CustomerTypeID,
PresentedCustomerID,
PresentedCardTypeID,
LogixTransNum,
POSTransNum,
TerminalNum,
ExtLocationCode,
Replayed,
TransTotal
ORDER BY TransactionDate DESC