Passing Optional Arguments in Classic ASP for Stored Procedure - asp-classic

I'm trying to run some stored queries in an Access database from an ASP page. I'd like to use an ADO Command object to run the procedure instead of simply sending a string to the database to execute. My trouble is occurring when I try to create the parameters to send to the stored procedure. I'm using the 'CreateParameter' method of the Command object. It takes 5 optional arguments, of which I only want to use two; name and value (arguments 1 and 5 respectively).
I've tried the following approaches to set up the parameters:
1) Using named arguments
command.Parameters.Append command.CreateParameter name:="name", value:="value"
2) Using named arguments inside brackets
command.Parameters.Append command.CreateParameter(name:="name", value:="value")
3) Leaving out optional parameters I don't need
command.Parameters.Append command.CreateParameter("name", , , , "value")
What is a simple way to achieve what I'm trying to do, and why does my syntax fail in these cases? I'm clearly missing something here!

VBScript doesn't support named arguments with or without brackets. All parameters required to pass (specific or blank) for CreateParameter method of the Command object.
For the section 3 in the question, have a look:
CreateParameter(
name`[optional], <- fits ("name")
type [optional, default = adEmpty], <- NOT fits (type is not empty)
direction[Optional default = adParamInput], <- fits (blank)
size [optional default = 0], <- NOT fits (at least 5 for "value")
value[optional] <- fits ("value")
)
So, you should specify at least type and size for a text valued parameter. Direction is adParamInput already.
Const adVarChar = 200 ' From adovbs.inc or Ado TypeLib
command.Parameters.Append command.CreateParameter("name", adVarChar, , 5, "value")

here is an example that can be followed.
http://www.webconcerns.co.uk/asp/accessqueries/accessqueries.asp
see also
http://bytes.com/topic/asp-classic/answers/628368-running-access-stored-queries-parameters
Remember access uses stored queries not stored procedures so some differences apply. For additional information search for
ASP with Access stored queries using parameters - .net

Related

Send multiple parameters to SQL Server using dbBind in R

I am working on a program that has to send data to Microsoft SQL Server through R. Since SQL Server doesn't have any INSERT OR IGNORE INTO like PostgreSQL, I have to check if the value is already in the table. However, I don't know if I'm doing it right. How do I send multiple parameters (or the same parameter twice) into SQL Server using dbBind?
Here is my code:
statement <- "IF NOT EXISTS (SELECT * FROM dbo.nodes WHERE node_id=?) INSERT INTO dbo.nodes (node_id) VALUES (?)"
insertnew <- dbSendQuery(conn, statement)
test_p1 <- list(5, 6)
test_p2 <- list(test_p1, test_p1)
dbBind(insertnew, params=test_p2)
When I run it it gives me the following error:
Error in result_bind(res#ptr, params, batch_rows) :
RAW() can only be applied to a 'raw', not a 'double'
Using RStudio's Show Traceback feature, it shows this:
result_bind(res#ptr, params, batch_rows)
.local(res, params, ...)
dbBind(insertnew, params = test_p1)
Does anybody know what I'm doing wrong here? If the parameters should be something other than a list of lists, what should they be? Is there a way to name parameters to use twice in the same statement? What is RAW() and what is it trying to apply it to?
dbo.nodes is a table with one column, node_id NVARCHAR(1000) NOT NULL PRIMARY KEY.
conn is a DBIConnection object created earlier using dbConnect(odbc::odbc(), ...). It works for executing other statements so there shouldn't be a problem there.
Adding the argument batch_rows=1 to dbBind doesn't change anything (not that I understand what that is supposed to do).
Thanks in advance for the help!
test_p1 = c(5, 6)
test_p2 = unname(data.frame(I(test_p1), I(test_p1)))
In case this helps someone looking this up later, changing it from a list of lists to a data frame made from vectors worked.

Julia Querying from SQLite

Following this tutorial https://www.youtube.com/watch?app=desktop&v=qUrtLJcehE0, I created a database called Movies. Within the database a table called movies was created and next an entry was also added,
using SQLite
db = SQLite.DB("Movies")
SQLite.execute(db,"CREATE TABLE IF NOT EXISTS movies(movie_id REAL,movie_name TEXT, location TEXT)")
SQLite.execute(db,"INSERT INTO movies (movie_id,movie_name,location) VALUES(1,'Avengers','USA')")
However now when I try to Query the entry as follows,
SQLite.Query(db, "SELECT * from movies")
I get the this error, Error: MethodError: no method matching SQLite.Query.(::SQLite.DB,::String).
Any Ideas what I am doing wrong?
I don't know SQL, but I think you want to use SQLite.execute again not SQLite.Query. SQLite.Query is a struct not a function, and it doesn't have any documentation. I don't think you are meant to call it externally. Further documentation is here.
Method error means you are calling something with the wrong arguments. The SQLite.Query struct expects all of the following arguments:
struct Query
stmt::Stmt
status::Base.RefValue{Cint}
names::Vector{Symbol}
types::Vector{Type}
lookup::Dict{Symbol, Int}
end
The SQLite.execute function expects arguments in one of these forms:
SQLite.execute(db::SQLite.DB, sql, [params])
SQLite.execute(stmt::SQLite.Stmt, [params])
By convention in Julia, functions are all lowercase and types are capitalized.
To load a table using SQLite package,
using SQLite
using DataFrames
# Make a connection
db = SQLite.DB("Movies")
# To find out all tables available in schema
tbls = SQLite.tables(db)
# To load a specific table (movies table from Movies.db)
q = "SELECT * FROM movies"
data = SQLite.DBInterface.execute(db,q)
# To get as a dataframe
df = DataFrames.DataFrame(data)

Multiple variables in return object of function in R. Want to run it for multiple argument cases

How do I retrieve outputs from objects in an array as described in the background?
I have a function in R that returns multiple variables. For eg. if my function is called function_ABC,then:
a<-function_ABC (input_var)
gives a such that a$var1, a$var2, and a$var3 exist.
I have multiple cases to run such that I have put then in an array:
input_var <- c(1, 2, ...15)
for storing the outputs, I declared var such that:
var <- c(v1, v2, v3, .... v15)
Then I run:
assign(v1[i],function(input_var(i)))
However, after that I am unable to access these variables as v1[1]$var1. I can access them as: v1$var1, or v3$var1, etc. But this means I need to write 15*3 commands to retrieve my output.
Is there an easier way to do this?
Push your whole input set into an array Arr[ ].
Open a multi threaded executor E of certain size N.
Using a for loop on the input array Arr[], submit your function calls as a Callable job to the executor E. While submitting each job, hold the reference to the FutureTask in another Array FTArr[ ].
When all the FutureTask jobs are executed, you may retrieve the output for each of them by running another for loop on FTArr[ ].
Note :
• make sure to add synchronized block in your func_ABC, where you are accessing shared resources to avoid deadlocks.
• Please refer to the below link, if you want to know more about the usage of a count-down-latch. A count-down-latch helps you to find out, when exactly, all the child threads have finished execution.
https://www.geeksforgeeks.org/countdownlatch-in-java/

Second dict refering to first dict doesn't register changes to first

dictOne = {'a':1, 'b':2}
dictTwo = {'aa':dictOne['a'], 'bb':dictOne['b']}
print(dictTwo['aa']
# returns 1
If I make a change to dictOne like:
dictOne['a'] = 2
print(dictOne['a'])
# returns 2
but the second dict that refers to the first still returns the original value.
print(dictTwo['aa'])
# returns 1
What is happening here? I'm sure this is somehow an inappropriate usage of dict but I need to resolve this in the immediate. Thanks.
You're extracting the value from the key 'a' inside dictOne with the below piece of code
dictTwo = {'aa':dictOne['a']}
You may find some value in reading the python FAQ on pass by assignment
Without knowing more about the problem, it's difficult to say exactly how you can solve this. If you need to create a mapping between different sets of keys, there's the option to do something like:
dictTwo = {'aa' : 'a', 'bb' : 'b'}
dictOne[dictTwo['aa']]
Although maybe what you're looking for is a multi key dict
The line here:
dictTwo = {'aa':dictOne['a'], 'bb':dictOne['b']}
Is equivalent to:
dictTwo = {'aa':1, 'bb':2}
Since dictOne['a'] and dictOne['b'] both return immutable values (integers), they are passed by copy, and not by reference. See How do I pass a variable by reference?
Had you done dictTwo = dictOne, updating dictOne would also update dictTwo, however they would have the same key values.

check if output parameter is null before binding

How can i check if an output parameter is null before i bind it to a asp literal, and if it is null i want to just make the literal
hname1.Text = cmd.Parameters("#hotel1").Value
hname1.DataBind()
hname2.Text = cmd.Parameters("#hotel2").Value
hname2.DataBind()
hname3.Text = cmd.Parameters("#hotel3").Value
hname3.DataBind()
hname4.Text = cmd.Parameters("#hotel4").Value
hname4.DataBind()
hname5.Text = cmd.Parameters("#hotel5").Value
hname5.DataBind()
If Not IsDBNull(cmd.Parameters("#hotel1").Value) Then
hname1.Text = cmd.Parameters("#hotel1").Value
hname1.DataBind();
Else
' Manual binding would go here
End If
I believe. Syntax may be a bit hairy as it's been a bit since I've done VB, but the premise should be the same.
This is also assuming cmd.Parameters("#hotel1") will always be a callable object with a Value property. If this could potentially be null, we need to add another comparison to avoid NullObjectReference exception(s).
Also, I hope I understand the question correctly, your mention of "output parameter" without having a Subroutine/Function to look at leads me to believe there's a bit of confusion on semantics.
Version Change
Using IsDBNull to check against empty value

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