Does Field order matter in an inner join for access SQL? - sql
I have a query that requires ONE HUNDRED fields to be joined from one table to another. instead of manually going through the query designer, i decided to build the join using excel. When i put the code in to the SQL side of the query, then clicked designer, it choked on all 100 field comparisons and removed them. i proceeded to manually click drag the entire set of 100 field to join them all. somehow it worked. now when i look at the sql code for how access did it, it looks almost identical to my code. the only difference that i can identify is that instead of it going from A-Z, it goes Z-A.
Original Query
PARAMETERS pn TEXT (255)
,tt TEXT (255)
,sns Long
,sne Long
,ds DATETIME
,de DATETIME;
SELECT y.Short_Description1
,y.Data1
,y.Short_Description2
,y.Data2
,y.Short_Description3
,y.Data3
,y.Short_Description4
,y.Data4
,y.Short_Description5
,y.Data5
,y.Short_Description6
,y.Data6
,y.Short_Description7
,y.Data7
,y.Short_Description8
,y.Data8
,y.Short_Description9
,y.Data9
,y.Short_Description10
,y.Data10
,y.Short_Description11
,y.Data11
,y.Short_Description12
,y.Data12
,y.Short_Description13
,y.Data13
,y.Short_Description14
,y.Data14
,y.Short_Description15
,y.Data15
,y.Short_Description16
,y.Data16
,y.Short_Description17
,y.Data17
,y.Short_Description18
,y.Data18
,y.Short_Description19
,y.Data19
,y.Short_Description20
,y.Data20
,y.Short_Description21
,y.Data21
,y.Short_Description22
,y.Data22
,y.Short_Description23
,y.Data23
,y.Short_Description24
,y.Data24
,y.Short_Description25
,y.Data25
,y.Short_Description26
,y.Data26
,y.Short_Description27
,y.Data27
,y.Short_Description28
,y.Data28
,y.Short_Description29
,y.Data29
,y.Short_Description30
,y.Data30
,y.Short_Description31
,y.Data31
,y.Short_Description32
,y.Data32
,y.Short_Description33
,y.Data33
,y.Short_Description34
,y.Data34
,y.Short_Description35
,y.Data35
,y.Short_Description36
,y.Data36
,y.Short_Description37
,y.Data37
,y.Short_Description38
,y.Data38
,y.Short_Description39
,y.Data39
,y.Short_Description40
,y.Data40
,y.Short_Description41
,y.Data41
,y.Short_Description42
,y.Data42
,y.Short_Description43
,y.Data43
,y.Short_Description44
,y.Data44
,y.Short_Description45
,y.Data45
,y.Short_Description46
,y.Data46
,y.Short_Description47
,y.Data47
,y.Short_Description48
,y.Data48
,y.Short_Description49
,y.Data49
,y.Short_Description50
,y.Data50
,y.Short_Description51
,y.Data51
,y.Short_Description52
,y.Data52
,y.Short_Description53
,y.Data53
,y.Short_Description54
,y.Data54
,y.Short_Description55
,y.Data55
,y.Short_Description56
,y.Data56
,y.Short_Description57
,y.Data57
,y.Short_Description58
,y.Data58
,y.Short_Description59
,y.Data59
,y.Short_Description60
,y.Data60
,y.Short_Description61
,y.Data61
,y.Short_Description62
,y.Data62
,y.Short_Description63
,y.Data63
,y.Short_Description64
,y.Data64
,y.Short_Description65
,y.Data65
,y.Short_Description66
,y.Data66
,y.Short_Description67
,y.Data67
,y.Short_Description68
,y.Data68
,y.Short_Description69
,y.Data69
,y.Short_Description70
,y.Data70
,y.Short_Description71
,y.Data71
,y.Short_Description72
,y.Data72
,y.Short_Description73
,y.Data73
,y.Short_Description74
,y.Data74
,y.Short_Description75
,y.Data75
,y.Short_Description76
,y.Data76
,y.Short_Description77
,y.Data77
,y.Short_Description78
,y.Data78
,y.Short_Description79
,y.Data79
,y.Short_Description80
,y.Data80
,y.Short_Description81
,y.Data81
,y.Short_Description82
,y.Data82
,y.Short_Description83
,y.Data83
,y.Short_Description84
,y.Data84
,y.Short_Description85
,y.Data85
,y.Short_Description86
,y.Data86
,y.Short_Description87
,y.Data87
,y.Short_Description88
,y.Data88
,y.Short_Description89
,y.Data89
,y.Short_Description90
,y.Data90
,y.Short_Description91
,y.Data91
,y.Short_Description92
,y.Data92
,y.Short_Description93
,y.Data93
,y.Short_Description94
,y.Data94
,y.Short_Description95
,y.Data95
,y.Short_Description96
,y.Data96
,y.Short_Description97
,y.Data97
,y.Short_Description98
,y.Data98
,y.Short_Description99
,y.Data99
,y.Short_Description100
,y.Data100
,x.rownum
FROM qryIndividualTestData100Descriptions AS x
INNER JOIN IndividualTestData100 AS y ON (x.Short_Description1 =
y.Short_Description1)
AND (x.Short_Description2 = y.Short_Description2)
AND (x.Short_Description3 = y.Short_Description3)
AND (x.Short_Description4 = y.Short_Description4)
AND (x.Short_Description5 = y.Short_Description5)
AND (x.Short_Description6 = y.Short_Description6)
AND (x.Short_Description7 = y.Short_Description7)
AND (x.Short_Description8 = y.Short_Description8)
AND (x.Short_Description9 = y.Short_Description9)
AND (x.Short_Description10 = y.Short_Description10)
AND (x.Short_Description11 = y.Short_Description11)
AND (x.Short_Description12 = y.Short_Description12)
AND (x.Short_Description13 = y.Short_Description13)
AND (x.Short_Description14 = y.Short_Description14)
AND (x.Short_Description15 = y.Short_Description15)
AND (x.Short_Description16 = y.Short_Description16)
AND (x.Short_Description17 = y.Short_Description17)
AND (x.Short_Description18 = y.Short_Description18)
AND (x.Short_Description19 = y.Short_Description19)
AND (x.Short_Description20 = y.Short_Description20)
AND (x.Short_Description21 = y.Short_Description21)
AND (x.Short_Description22 = y.Short_Description22)
AND (x.Short_Description23 = y.Short_Description23)
AND (x.Short_Description24 = y.Short_Description24)
AND (x.Short_Description25 = y.Short_Description25)
AND (x.Short_Description26 = y.Short_Description26)
AND (x.Short_Description27 = y.Short_Description27)
AND (x.Short_Description28 = y.Short_Description28)
AND (x.Short_Description29 = y.Short_Description29)
AND (x.Short_Description30 = y.Short_Description30)
AND (x.Short_Description31 = y.Short_Description31)
AND (x.Short_Description32 = y.Short_Description32)
AND (x.Short_Description33 = y.Short_Description33)
AND (x.Short_Description34 = y.Short_Description34)
AND (x.Short_Description35 = y.Short_Description35)
AND (x.Short_Description36 = y.Short_Description36)
AND (x.Short_Description37 = y.Short_Description37)
AND (x.Short_Description38 = y.Short_Description38)
AND (x.Short_Description39 = y.Short_Description39)
AND (x.Short_Description40 = y.Short_Description40)
AND (x.Short_Description41 = y.Short_Description41)
AND (x.Short_Description42 = y.Short_Description42)
AND (x.Short_Description43 = y.Short_Description43)
AND (x.Short_Description44 = y.Short_Description44)
AND (x.Short_Description45 = y.Short_Description45)
AND (x.Short_Description46 = y.Short_Description46)
AND (x.Short_Description47 = y.Short_Description47)
AND (x.Short_Description48 = y.Short_Description48)
AND (x.Short_Description49 = y.Short_Description49)
AND (x.Short_Description50 = y.Short_Description50)
AND (x.Short_Description51 = y.Short_Description51)
AND (x.Short_Description52 = y.Short_Description52)
AND (x.Short_Description53 = y.Short_Description53)
AND (x.Short_Description54 = y.Short_Description54)
AND (x.Short_Description55 = y.Short_Description55)
AND (x.Short_Description56 = y.Short_Description56)
AND (x.Short_Description57 = y.Short_Description57)
AND (x.Short_Description58 = y.Short_Description58)
AND (x.Short_Description59 = y.Short_Description59)
AND (x.Short_Description60 = y.Short_Description60)
AND (x.Short_Description61 = y.Short_Description61)
AND (x.Short_Description62 = y.Short_Description62)
AND (x.Short_Description63 = y.Short_Description63)
AND (x.Short_Description64 = y.Short_Description64)
AND (x.Short_Description65 = y.Short_Description65)
AND (x.Short_Description66 = y.Short_Description66)
AND (x.Short_Description67 = y.Short_Description67)
AND (x.Short_Description68 = y.Short_Description68)
AND (x.Short_Description69 = y.Short_Description69)
AND (x.Short_Description70 = y.Short_Description70)
AND (x.Short_Description71 = y.Short_Description71)
AND (x.Short_Description72 = y.Short_Description72)
AND (x.Short_Description73 = y.Short_Description73)
AND (x.Short_Description74 = y.Short_Description74)
AND (x.Short_Description75 = y.Short_Description75)
AND (x.Short_Description76 = y.Short_Description76)
AND (x.Short_Description77 = y.Short_Description77)
AND (x.Short_Description78 = y.Short_Description78)
AND (x.Short_Description79 = y.Short_Description79)
AND (x.Short_Description80 = y.Short_Description80)
AND (x.Short_Description81 = y.Short_Description81)
AND (x.Short_Description82 = y.Short_Description82)
AND (x.Short_Description83 = y.Short_Description83)
AND (x.Short_Description84 = y.Short_Description84)
AND (x.Short_Description85 = y.Short_Description85)
AND (x.Short_Description86 = y.Short_Description86)
AND (x.Short_Description87 = y.Short_Description87)
AND (x.Short_Description88 = y.Short_Description88)
AND (x.Short_Description89 = y.Short_Description89)
AND (x.Short_Description90 = y.Short_Description90)
AND (x.Short_Description91 = y.Short_Description91)
AND (x.Short_Description92 = y.Short_Description92)
AND (x.Short_Description93 = y.Short_Description93)
AND (x.Short_Description94 = y.Short_Description94)
AND (x.Short_Description95 = y.Short_Description95)
AND (x.Short_Description96 = y.Short_Description96)
AND (x.Short_Description97 = y.Short_Description97)
AND (x.Short_Description98 = y.Short_Description98)
AND (x.Short_Description99 = y.Short_Description99)
AND (x.Short_Description100 = y.Short_Description100)
WHERE (
((y.[Part_Number]) LIKE [pn] & "*" & [tt])
AND (
(y.[Serial_Number]) >= [sns]
AND (y.[Serial_Number]) <= [sne]
)
AND (
(y.[Test_Date]) >= [ds]
AND (y.[Test_Date]) <= [de]
)
);
Access Generated version
PARAMETERS pn TEXT (255)
,tt TEXT (255)
,sns Long
,sne Long
,ds DATETIME
,de DATETIME;
SELECT y.Short_Description1
,y.Data1
,y.Short_Description2
,y.Data2
,y.Short_Description3
,y.Data3
,y.Short_Description4
,y.Data4
,y.Short_Description5
,y.Data5
,y.Short_Description6
,y.Data6
,y.Short_Description7
,y.Data7
,y.Short_Description8
,y.Data8
,y.Short_Description9
,y.Data9
,y.Short_Description10
,y.Data10
,y.Short_Description11
,y.Data11
,y.Short_Description12
,y.Data12
,y.Short_Description13
,y.Data13
,y.Short_Description14
,y.Data14
,y.Short_Description15
,y.Data15
,y.Short_Description16
,y.Data16
,y.Short_Description17
,y.Data17
,y.Short_Description18
,y.Data18
,y.Short_Description19
,y.Data19
,y.Short_Description20
,y.Data20
,y.Short_Description21
,y.Data21
,y.Short_Description22
,y.Data22
,y.Short_Description23
,y.Data23
,y.Short_Description24
,y.Data24
,y.Short_Description25
,y.Data25
,y.Short_Description26
,y.Data26
,y.Short_Description27
,y.Data27
,y.Short_Description28
,y.Data28
,y.Short_Description29
,y.Data29
,y.Short_Description30
,y.Data30
,y.Short_Description31
,y.Data31
,y.Short_Description32
,y.Data32
,y.Short_Description33
,y.Data33
,y.Short_Description34
,y.Data34
,y.Short_Description35
,y.Data35
,y.Short_Description36
,y.Data36
,y.Short_Description37
,y.Data37
,y.Short_Description38
,y.Data38
,y.Short_Description39
,y.Data39
,y.Short_Description40
,y.Data40
,y.Short_Description41
,y.Data41
,y.Short_Description42
,y.Data42
,y.Short_Description43
,y.Data43
,y.Short_Description44
,y.Data44
,y.Short_Description45
,y.Data45
,y.Short_Description46
,y.Data46
,y.Short_Description47
,y.Data47
,y.Short_Description48
,y.Data48
,y.Short_Description49
,y.Data49
,y.Short_Description50
,y.Data50
,y.Short_Description51
,y.Data51
,y.Short_Description52
,y.Data52
,y.Short_Description53
,y.Data53
,y.Short_Description54
,y.Data54
,y.Short_Description55
,y.Data55
,y.Short_Description56
,y.Data56
,y.Short_Description57
,y.Data57
,y.Short_Description58
,y.Data58
,y.Short_Description59
,y.Data59
,y.Short_Description60
,y.Data60
,y.Short_Description61
,y.Data61
,y.Short_Description62
,y.Data62
,y.Short_Description63
,y.Data63
,y.Short_Description64
,y.Data64
,y.Short_Description65
,y.Data65
,y.Short_Description66
,y.Data66
,y.Short_Description67
,y.Data67
,y.Short_Description68
,y.Data68
,y.Short_Description69
,y.Data69
,y.Short_Description70
,y.Data70
,y.Short_Description71
,y.Data71
,y.Short_Description72
,y.Data72
,y.Short_Description73
,y.Data73
,y.Short_Description74
,y.Data74
,y.Short_Description75
,y.Data75
,y.Short_Description76
,y.Data76
,y.Short_Description77
,y.Data77
,y.Short_Description78
,y.Data78
,y.Short_Description79
,y.Data79
,y.Short_Description80
,y.Data80
,y.Short_Description81
,y.Data81
,y.Short_Description82
,y.Data82
,y.Short_Description83
,y.Data83
,y.Short_Description84
,y.Data84
,y.Short_Description85
,y.Data85
,y.Short_Description86
,y.Data86
,y.Short_Description87
,y.Data87
,y.Short_Description88
,y.Data88
,y.Short_Description89
,y.Data89
,y.Short_Description90
,y.Data90
,y.Short_Description91
,y.Data91
,y.Short_Description92
,y.Data92
,y.Short_Description93
,y.Data93
,y.Short_Description94
,y.Data94
,y.Short_Description95
,y.Data95
,y.Short_Description96
,y.Data96
,y.Short_Description97
,y.Data97
,y.Short_Description98
,y.Data98
,y.Short_Description99
,y.Data99
,y.Short_Description100
,y.Data100
,x.rownum
FROM qryIndividualTestData100Descriptions AS x
INNER JOIN individualtestdata100 AS y ON (x.Short_Description100 =
y.Short_Description100)
AND (x.Short_Description99 = y.Short_Description99)
AND (x.Short_Description98 = y.Short_Description98)
AND (x.Short_Description97 = y.Short_Description97)
AND (x.Short_Description96 = y.Short_Description96)
AND (x.Short_Description95 = y.Short_Description95)
AND (x.Short_Description94 = y.Short_Description94)
AND (x.Short_Description93 = y.Short_Description93)
AND (x.Short_Description92 = y.Short_Description92)
AND (x.Short_Description91 = y.Short_Description91)
AND (x.Short_Description90 = y.Short_Description90)
AND (x.Short_Description89 = y.Short_Description89)
AND (x.Short_Description88 = y.Short_Description88)
AND (x.Short_Description87 = y.Short_Description87)
AND (x.Short_Description86 = y.Short_Description86)
AND (x.Short_Description85 = y.Short_Description85)
AND (x.Short_Description84 = y.Short_Description84)
AND (x.Short_Description83 = y.Short_Description83)
AND (x.Short_Description82 = y.Short_Description82)
AND (x.Short_Description81 = y.Short_Description81)
AND (x.Short_Description80 = y.Short_Description80)
AND (x.Short_Description79 = y.Short_Description79)
AND (x.Short_Description78 = y.Short_Description78)
AND (x.Short_Description77 = y.Short_Description77)
AND (x.Short_Description76 = y.Short_Description76)
AND (x.Short_Description75 = y.Short_Description75)
AND (x.Short_Description74 = y.Short_Description74)
AND (x.Short_Description73 = y.Short_Description73)
AND (x.Short_Description72 = y.Short_Description72)
AND (x.Short_Description71 = y.Short_Description71)
AND (x.Short_Description70 = y.Short_Description70)
AND (x.Short_Description69 = y.Short_Description69)
AND (x.Short_Description68 = y.Short_Description68)
AND (x.Short_Description67 = y.Short_Description67)
AND (x.Short_Description66 = y.Short_Description66)
AND (x.Short_Description65 = y.Short_Description65)
AND (x.Short_Description64 = y.Short_Description64)
AND (x.Short_Description63 = y.Short_Description63)
AND (x.Short_Description62 = y.Short_Description62)
AND (x.Short_Description61 = y.Short_Description61)
AND (x.Short_Description60 = y.Short_Description60)
AND (x.Short_Description59 = y.Short_Description59)
AND (x.Short_Description58 = y.Short_Description58)
AND (x.Short_Description57 = y.Short_Description57)
AND (x.Short_Description56 = y.Short_Description56)
AND (x.Short_Description55 = y.Short_Description55)
AND (x.Short_Description54 = y.Short_Description54)
AND (x.Short_Description53 = y.Short_Description53)
AND (x.Short_Description52 = y.Short_Description52)
AND (x.Short_Description51 = y.Short_Description51)
AND (x.Short_Description50 = y.Short_Description50)
AND (x.Short_Description49 = y.Short_Description49)
AND (x.Short_Description48 = y.Short_Description48)
AND (x.Short_Description47 = y.Short_Description47)
AND (x.Short_Description46 = y.Short_Description46)
AND (x.Short_Description45 = y.Short_Description45)
AND (x.Short_Description44 = y.Short_Description44)
AND (x.Short_Description43 = y.Short_Description43)
AND (x.Short_Description42 = y.Short_Description42)
AND (x.Short_Description41 = y.Short_Description41)
AND (x.Short_Description40 = y.Short_Description40)
AND (x.Short_Description39 = y.Short_Description39)
AND (x.Short_Description38 = y.Short_Description38)
AND (x.Short_Description37 = y.Short_Description37)
AND (x.Short_Description36 = y.Short_Description36)
AND (x.Short_Description35 = y.Short_Description35)
AND (x.Short_Description34 = y.Short_Description34)
AND (x.Short_Description33 = y.Short_Description33)
AND (x.Short_Description32 = y.Short_Description32)
AND (x.Short_Description31 = y.Short_Description31)
AND (x.Short_Description30 = y.Short_Description30)
AND (x.Short_Description29 = y.Short_Description29)
AND (x.Short_Description28 = y.Short_Description28)
AND (x.Short_Description27 = y.Short_Description27)
AND (x.Short_Description26 = y.Short_Description26)
AND (x.Short_Description25 = y.Short_Description25)
AND (x.Short_Description24 = y.Short_Description24)
AND (x.Short_Description23 = y.Short_Description23)
AND (x.Short_Description22 = y.Short_Description22)
AND (x.Short_Description21 = y.Short_Description21)
AND (x.Short_Description20 = y.Short_Description20)
AND (x.Short_Description19 = y.Short_Description19)
AND (x.Short_Description18 = y.Short_Description18)
AND (x.Short_Description17 = y.Short_Description17)
AND (x.Short_Description16 = y.Short_Description16)
AND (x.Short_Description15 = y.Short_Description15)
AND (x.Short_Description14 = y.Short_Description14)
AND (x.Short_Description13 = y.Short_Description13)
AND (x.Short_Description12 = y.Short_Description12)
AND (x.Short_Description11 = y.Short_Description11)
AND (x.Short_Description10 = y.Short_Description10)
AND (x.Short_Description9 = y.Short_Description9)
AND (x.Short_Description8 = y.Short_Description8)
AND (x.Short_Description7 = y.Short_Description7)
AND (x.Short_Description6 = y.Short_Description6)
AND (x.Short_Description5 = y.Short_Description5)
AND (x.Short_Description4 = y.Short_Description4)
AND (x.Short_Description3 = y.Short_Description3)
AND (x.Short_Description2 = y.Short_Description2)
AND (x.Short_Description1 = y.Short_Description1)
WHERE (
((y.Part_Number) LIKE [pn] & "*" & [tt])
AND (
(y.Serial_Number) >= [sns]
AND (y.Serial_Number) <= [sne]
)
AND (
(y.Test_Date) >= [ds]
AND (y.Test_Date) <= [de]
)
);
Why does access choke on the query?
Related
how to optimize max position limit in quantstrat for bollinger bands strategy
The code below is my Bollinger bands strategy for commodity. I add a position limit and want to optimize this strategy through parameter maxpos. For the function add.distribution, it asks for a component.label, but the function addPosLimit does not have a variable called "label". I wonder how to optimize maxpos at this case.
symbol <- 'C1'
currency("USD")
#stock(symbol, currency="USD", multiplier=1)
portfName <- 'RSI_Strategy'
acctName <- portfName
suppressWarnings(rm.strat(stratName))
initPortf(name = portfName, symbols = symbol, initDate = initDate,
currency = 'USD')
initAcct(name = acctName, portfolios = portfName,
initDate=initDate, initEq=initEq)
initOrders(portfolio = portfName, initDate = initDate)
stratName <- portfName
strategy(name = stratName, store=TRUE)
SD = 2
N = 20
add.indicator(strategy = stratName, name = "BBands",
arguments = list(HLC = quote(HLC(mktdata)), maType='SMA',
n=N, sd=SD),
label='BBands')
add.signal(strategy = stratName, name="sigCrossover",
arguments=list(columns=c("Close","up"),relationship="gt"),
label="Cl.gt.UpperBand")
add.signal(strategy = stratName, name="sigCrossover",
arguments=list(columns=c("Close","dn"),relationship="lt"),
label="Cl.lt.LowerBand")
add.signal(strategy = stratName, name="sigCrossover",
arguments=list(columns=c("High","mavg"),relationship="gt"),
label="Hi.Cross.Mid")
add.signal(strategy = stratName, name="sigCrossover",
arguments=list(columns=c("Low","mavg"),relationship="lt"),
label="Lo.Cross.Mid")
add.rule(strategy = stratName, name='ruleSignal',
arguments=list(sigcol="Cl.gt.UpperBand",sigval=TRUE, orderqty=-nShs,
ordertype='market', orderside=NULL, osFUN=osMaxPos
),type='enter',
label = "Enter.Short")
add.rule(strategy = stratName, name='ruleSignal',
arguments=list(sigcol="Cl.lt.LowerBand",sigval=TRUE, orderqty=nShs,
ordertype='market', orderside=NULL, osFUN=osMaxPos
),type='enter',
label = "Enter.Long")
add.rule(strategy = stratName, name='ruleSignal',
arguments=list(sigcol="Hi.Cross.Mid",sigval=TRUE, orderqty= 'all',
ordertype='market', orderside=NULL),type='exit',
label = "Exit.All")
add.rule(strategy = stratName, name='ruleSignal',
arguments=list(sigcol="Lo.Cross.Mid",sigval=TRUE, orderqty= 'all',
ordertype='market', orderside=NULL),type='exit',
label = "Exit.All")
addPosLimit(portfName, symbol, timestamp=initDate, maxpos=maxpos, minpos=0)
.maxpos = seq(3000,8000,1000)
add.distribution(stratName,
paramset.label = 'PosOpt',
component.type = 'order',
component.label = 'addPosLimit',
variable = list(maxpos = .maxpos),
label = 'MaxPos')
updateSelectInput does not hold in shiny module
I'm testing modulization for an shiny app. One problem in the following code is that, when select a new name under "name to analyze", updated result does not hold. The selection will automatically return to 'name1' within seconds. Much appreciated for any advice to correct it.
Thanks.
library(shiny)
subgroupInput <- function(id){
ns <-NS(id)
tagList(
selectInput(ns("name"),
label = "name to analyze",
choices = NULL,selected=NULL),
radioButtons(ns('radio'), 'cutoffType', choices=c('percentile', 'value'),
selected = NULL, inline = FALSE),
conditionalPanel(
condition = paste0("input['", ns("radio"), "'] == 'percentile'"),
sliderInput(ns("cutoff1"),
label = "Bottom-trim percentile:",
min = 0, max = 100, value = 5),
sliderInput(ns("cutoff2"),
label = "Top-trim percentile:",
min = 0, max = 100, value = 95)
),
conditionalPanel(
condition = paste0("input['", ns("radio"), "'] == 'value'"),
sliderInput(ns("cutoff3"),
label = "Bottom-trim value:",
min = 0, max = 100, value = -1),
sliderInput(ns("cutoff4"),
label = "Top-trim value:",
min = 0, max = 100, value = 1)
)
)
}
subgroup <- function(input, output, session,default_selected=NULL){
ns=session$ns
model <- reactive({
data = data.frame(matrix(rep(rnorm(100*100,sd=3)),ncol=100),stringsAsFactors = F)
colnames(data)=paste0('name',1:100)
namelist = colnames(data)
updateSelectInput(session, "name",choices = namelist, selected = default_selected)
validate(
shiny::need(input$name,"Select name")
)
x = round(data[,input$name])
updateSliderInput(session, "cutoff3", label="Cufoff value", min=min(x),max=max(x))
updateSliderInput(session, "cutoff4", label="Cufoff value", min=min(x),max=max(x))
if(input$radio=="percentile") {
dt = data[,input$name]
qt = quantile(dt,c(input$cutoff1,input$cutoff2)/100)
result <- hist(dt[dt>qt[1] & dt<=qt[2]],main=paste0("Histogram of ",input$name))
}
else if(input$radio=="value"){
dt = data[,input$name]
result <- hist(dt[dt>input$cutoff3 & dt<=input$cutoff4],main=paste0("Histogram of ",input$name))
}
return(list(plot = result, data = data, inname=input$name))
})
return (model)
}
The above are modules. Following code makes call:
shinyApp(
ui = fluidPage(
subgroupInput("test1"),
plotOutput("plot")
),
server = function(input, output, session){
test <- shiny::callModule(subgroup,"test1")
output$plot <- renderPlot({
test()$plot
})
}
)
Vpython greyscreen crash
I have found many times a solution for my problems from here, but this time I am totally baffled. I don't know what's wrong at my code.
I made a code to create a box with charged particles inside with Vpython. As I launch the program, I get only a grey screen and the program crash. No error message, nothing.
from visual import *
from random import *
def electronizer(num):
list = []
electron_charge = -1.60217662e-19
electron_mass = 9.10938356e-31
for i in range(num):
another_list = []
e = sphere(pos=(random(), random(),random()), radius=2.818e-15,
color=color.cyan)
e.v = vector(random(), random(), random())
another_list.append(e)
another_list.append(e.v)
another_list.append(electron_charge)
another_list.append(electron_mass)
list.append(another_list)
return list
def protonizer(num):
list = []
proton_charge = 1.60217662e-19
proton_mass = 1.6726219e-27
for i in range(num):
another_list = []
p = sphere(pos=(random(), random(),random()), radius=0.8408739e-15, color=color.red)
p.v = vector(random(), random(), random())
another_list.append(p)
another_list.append(p.v)
another_list.append(proton_charge)
another_list.append(proton_mass)
list.append(another_list)
return list
def cross(a, b):
c = vector(a[1]*b[2] - a[2]*b[1],
a[2]*b[0] - a[0]*b[2],
a[0]*b[1] - a[1]*b[0])
return c
def positioner(work_list):
k = 8.9875517873681764e3 #Nm2/C2
G = 6.674e-11 # Nm2/kg2
vac_perm = 1.2566370614e-6 # H/m
pi = 3.14159265
dt = 0.1e-3
constant = 1
force = vector(0,0,0)
for i in range(len(work_list)):
for j in range(len(work_list)):
if i != j:
r = work_list[i][0].pos - work_list[j][0].pos
r_mag = mag(r)
r_norm = norm(r)
F = k * ((work_list[i][2] * work_list[j][2]) / (r_mag**2)) * r_norm
force += F
B = constant*(vac_perm / 4*pi) * (cross(work_list[j][2] * work_list[j][1], norm(r)))/r_mag**2
F = cross(work_list[i][2] * work_list[i][1], B)
force += F
F = -(G * work_list[i][3] * work_list[j][3]) / r_mag**2 * r_norm
force += F
acceleration = force / work_list[i][3]
difference_in_velocity = acceleration * dt
work_list[i][1] += difference_in_velocity
difference_in_position = work_list[i][1] * dt
work_list[i][0].pos += difference_in_position
if abs(work_list[i][0].pos[0]) > 2.5e-6:
work_list[i][1][0] = -work_list[i][1][0]
elif abs(work_list[i][0][1]) > 2.5e-6:
work_list[i][1][1] = -work_list[i][1][1]
elif abs(work_list[i][0][2]) > 2.5e-6:
work_list[i][1][2] = -work_list[i][1][2]
return work_list
box = box(pos=(0, 0, 0), length = 5e-6, width = 5e-6, height = 5e-6, opacity = 0.5)
protons_num = raw_input("number of protons: ")
electrons_num = raw_input("number of electrons: ")
list_of_electrons = electronizer(int(electrons_num))
list_of_protons = protonizer(int(protons_num))
work_list = list_of_electrons + list_of_protons
while True:
work_list = positioner(work_list)
You should ask your question on the VPython.org forum where the VPython experts hang out and will be able to answer your question. You should mention which operating system you are using and which version of python you are using. From your code I see that you are using classic VPython. There is a newer version of VPython 7 that just came out but the VPython syntax has changed.
[__NSDictionaryI objectAtIndex:]: unrecognized selector sent to instance
I am getting this error
[__NSDictionaryI objectAtIndex:]: unrecognized selector sent to instance
how to read one by one each row data.this is my NSMutableArray.
I need to read single code line datad from this array.
NSMutableArray *result = [obj objectForKey:#"quotes"];
NSLog(#"%#",result);
//dataCenter.currency_array=result;
for (int i=0; i<[result count]; i++) {
NSLog(#"%#",[result objectAtIndex:i]);
NSDictionary* obj = [result objectAtIndex:i];
//[datasource addObject:obj];
NSLog(#"%#",obj);
}
{
USDAED = "3.672304";
USDAFN = "67.503991";
USDALL = "123.503989";
USDAMD = "484.179993";
USDANG = "1.790403";
USDAOA = "165.087006";
USDARS = "15.374041";
USDAUD = "1.333604";
USDAWG = "1.79";
USDAZN = "1.702041";
USDBAM = "1.797804";
USDBBD = 2;
USDBDT = "82.089996";
USDBGN = "1.789404";
USDBHD = "0.376204";
USDBIF = "1700.75";
USDBMD = 1;
USDBND = "1.396804";
USDBOB = "6.890399";
USDBRL = "3.171604";
USDBSD = 1;
USDBTC = "0.000757";
USDBTN = "64.125041";
USDBWP = "10.422504";
USDBYN = "1.870398";
USDBYR = 20020;
USDBZD = "1.997804";
USDCAD = "1.365204";
USDCDF = "1398.949951";
USDCHF = "0.993604";
USDCLF = "0.02487";
USDCLP = "666.429993";
USDCNY = "6.889904";
USDCOP = "2937.300049";
USDCRC = "551.080017";
USDCUC = 1;
USDCUP = "1.00036";
USDCVE = "101.209999";
USDCZK = "24.615999";
USDDJF = "178.000359";
USDDKK = "6.81567";
USDDOP = "47.029999";
USDDZD = "109.047997";
USDEEK = "14.04404";
USDEGP = "18.049999";
USDERN = "15.290392";
USDETB = "22.809999";
USDEUR = "0.917704";
USDFJD = "2.097504";
USDFKP = "0.771604";
USDGBP = "0.77219";
USDGEL = "2.465104";
USDGGP = "0.772237";
USDGHS = "4.173304";
USDGIP = "0.771904";
USDGMD = "44.000355";
USDGNF = "9200.000355";
USDGTQ = "7.33804";
USDGYD = "204.460007";
USDHKD = "7.776604";
USDHNL = "23.350388";
USDHRK = "6.804904";
USDHTG = "67.709999";
USDHUF = "286.959991";
USDIDR = 13327;
USDILS = "3.61904";
USDIMP = "0.772237";
USDINR = "64.269997";
USDIQD = 1181;
USDIRR = "32439.000352";
USDISK = "106.199997";
USDJEP = "0.772237";
USDJMD = "128.130005";
USDJOD = "0.708804";
USDJPY = "111.495003";
USDKES = "102.949997";
USDKGS = "67.474998";
USDKHR = "3984.00035";
USDKMF = "461.790009";
USDKPW = "900.00035";
USDKRW = "1136.369995";
USDKWD = "0.303904";
USDKYD = "0.820383";
USDKZT = "314.51001";
USDLAK = "8194.799805000001";
USDLBP = "1506.699951";
USDLKR = "152.050003";
USDLRD = "91.000348";
USDLSL = "13.371039";
USDLTL = "3.048704";
USDLVL = "0.62055";
USDLYD = "1.407804";
USDMAD = "9.913038999999999";
USDMDL = "19.065001";
USDMGA = "3150.000347";
USDMKD = "56.189999";
USDMMK = "1358.000346";
USDMNT = "2409.000346";
USDMOP = "8.009904000000001";
USDMRO = "357.000346";
USDMUR = "34.669998";
USDMVR = "15.440378";
USDMWK = "717.969971";
USDMXN = "18.809039";
USDMYR = "4.339039";
USDMZN = "70.44000200000001";
USDNAD = "13.335039";
USDNGN = "314.503725";
USDNIO = "29.403722";
USDNOK = "8.583204";
USDNPR = "102.099998";
USDNZD = "1.455704";
USDOMR = "0.384504";
USDPAB = 1;
USDPEN = "3.243104";
USDPGK = "3.283039";
USDPHP = "50.209999";
USDPKR = "104.599998";
USDPLN = "3.878038";
USDPYG = "5558.000341";
USDQAR = "3.640804";
USDRON = "4.156704";
USDRSD = "113.024902";
USDRUB = "56.917038";
USDRWF = "819.02002";
USDSAR = "3.749604";
USDSBD = "7.840604";
USDSCR = "13.334038";
USDSDG = "6.660372";
USDSEK = "8.857404000000001";
USDSGD = "1.396038";
USDSHP = "0.771904";
USDSLL = "7450.000338";
USDSOS = "549.0003380000001";
USDSRD = "7.48037";
USDSTD = "22487.400391";
USDSVC = "8.722038";
USDSYP = "514.97998";
USDSZL = "13.337404";
USDTHB = "34.570369";
USDTJS = "8.477104000000001";
USDTMT = "3.4";
USDTND = "2.414038";
USDTOP = "2.313904";
USDTRY = "3.550604";
USDTTD = "6.709504";
USDTWD = "30.155001";
USDTZS = "2228.000335";
USDUAH = "26.525038";
USDUGX = "3640.899902";
USDUSD = 1;
USDUYU = "28.070367";
USDUZS = "3705.000334";
USDVEF = "9.974504";
USDVND = 22739;
USDVUV = "109.550003";
USDWST = "2.593604";
USDXAF = "601.590027";
USDXAG = "0.058089";
USDXAU = "0.000789";
USDXCD = "2.703604";
USDXDR = "0.729382";
USDXOF = "603.659973";
USDXPF = "108.919998";
USDYER = "249.949997";
USDZAR = "13.361604";
USDZMK = "9.325037";
USDZMW = "9.280362999999999";
USDZWL = "322.355011";
}
how i can read single record.
You have a NSDictionary not an NSArray. NSDictionary can't handle object at index.
If you want to loop through a NSDictionary use this
for (NSString* key in [result allkeys])
{
float entry = [[result objectForKey:key] floatValue];
// do your stuff here for each entry
}
edit
And you should change this line
NSMutableArray *result = [obj objectForKey:#"quotes"];
To
NSDictionary *result = [obj objectForKey:#"quotes"];
Updating multiple tables inside cursor not working
I have two records in a table A. This helps me to update table 2 however the update is not been applied. This is the SQL code where I added a validation section that allow me to determinate the problem. DECLARE abc CURSOR FOR select d.cod_suc, d.cod_ramo_comercial, d.nro_pol, d.cod_item, d.cod_ramo_tecnico, d.cod_tarifa, d.id_stro, d.nro_stro, d.fec_hora_reclamo, d.fec_aviso, d.fec_registro, d.fec_ingreso_contable, d.txt_place_of_accident, d.id_substro, d.txt_nombre_cober, d.txt_direccion_bien_siniestrado, d.txt_descripcion_perdida, d.txt_cheque_a_nom, d.cod_manager_code, d.importe_pago_eq from table1 d where d.fec_hora_reclamo between '20140801' and '20150731' and (d.cod_suc = 2 and d.cod_ramo_comercial = 255 and d.nro_pol = 1000001 and d.cod_item = 5) OPEN abc FETCH abc INTO #cod_suc, #cod_ramo_comercial, #nro_pol, #cod_item, #cod_ramo_tecnico, #cod_tarifa, #id_stro, #nro_stro, #fec_hora_reclamo, #fec_aviso, #fec_registro, #fec_ingreso_contable, #txt_place_of_accident, #id_substro, #txt_nombre_cober, #txt_direccion_bien_siniestrado, #txt_descripcion_perdida, #txt_cheque_a_nom, #cod_manager_code, #importe_pago_eq WHILE (##FETCH_STATUS = 0) BEGIN select #varIDPV = min(id_pv), #varCodTarifa = min(cod_tarifa) from #portfolio p where p.cod_suc = #cod_suc and p.cod_ramo_comercial = #cod_ramo_comercial and p.Poliza = #nro_pol and p.Item = #cod_item and p.cod_ramo_tecnico = #cod_ramo_tecnico and p.[ID Incident] IS NULL /************************************************************************************************************** -- Validation section -- First record: mid(id_pv) = 100, min(cod_tarifa) = 1 -- Second record: mid(id_pv) = 100, min(cod_tarifa) = 1 --> Should be mid(id_pv) = 100, min(cod_tarifa) = 2 */ select min(id_pv), min(cod_tarifa) from #portfolio p where p.cod_suc = #cod_suc and p.cod_ramo_comercial = #cod_ramo_comercial and p.Poliza = #nro_pol and p.Item = #cod_item and p.cod_ramo_tecnico = #cod_ramo_tecnico and p.[ID Incident] IS NULL /**************************************************************************************************************/ update p set p.[ID Incident] = #id_stro, p.[No. Incident] = #nro_stro, p.[Fecha Accidente] = #fec_hora_reclamo, p.[Fecha Notificacion] = #fec_aviso, p.[Fecha Registro] = #fec_registro, p.[Fecha Pago] = #fec_ingreso_contable, p.[Lugar Accidente] = #txt_place_of_accident, p.[ID Subsiniestro] = #id_substro, p.[Cobertura Amparo] = #txt_nombre_cober, p.[Direccion Bien Siniestrado] = #txt_direccion_bien_siniestrado, p.[Descripcion Perdida] = #txt_descripcion_perdida, p.[Pago A] = #txt_cheque_a_nom, p.[Referida] = #cod_manager_code, [Incurrido R12] = #importe_pago_eq, [Incurrido Cerrados R12] = #importe_pago_eq from #portfolio p where p.cod_suc = #cod_suc and p.cod_ramo_comercial = #cod_ramo_comercial and p.Poliza = #nro_pol and p.Item = #cod_item and p.cod_ramo_tecnico = #cod_ramo_tecnico and p.[ID Incident] IS NULL and p.id_pv = #varIDPV and p.cod_tarifa = #varCodTarifa FETCH abc INTO #cod_suc, #cod_ramo_comercial, #nro_pol, #cod_item, #cod_ramo_tecnico, #cod_tarifa, #id_stro, #nro_stro, #fec_hora_reclamo, #fec_aviso, #fec_registro, #fec_ingreso_contable, #txt_place_of_accident, #id_substro, #txt_nombre_cober, #txt_direccion_bien_siniestrado, #txt_descripcion_perdida, #txt_cheque_a_nom, #cod_manager_code, #importe_pago_eq END CLOSE abc DEALLOCATE abc When I see the result, only the first record is updated.
I found the problem. I forgot to add one condition more in update (inside where). Thanks for the support