DB table Insert with auto-incrementing Id
Verified
Added by iNTERFACEWARE
Demonstrates how to use conn:merge{} with a table that has an auto-incrementing Id column.
Source Code
local conn = db.connect{
api=db.MY_SQL,
name='test',
user='root',
password='',
live = true
}
-- We assume that:
-- 1. The auto ID column is Id
-- 2. Mrn is the medical record number - i.e. the external patient ID
function main(Data)
local Msg, Name = hl7.parse{vmd='demo-autoinc.vmd', data=Data}
local T = db.tables{vmd='demo-autoinc.vmd',name=Name}
T = mapPatient(Msg.PID, T)
local Q = conn:query{
sql="SELECT * FROM Patient WHERE Mrn = '"..T.patient[1].Mrn.."'",
live=true
}
if #Q > 0 then
trace("Patient exists: "..Q[1].LastName..', '..Q[1].GivenName)
T.patient[1].Id = Q[1].Id
else
trace("Patient is new.")
T.patient[1]:remove('Id')
end
conn:merge{data=T, live=true}
end
-- We map Mrn to the Patient ID Number
function mapPatient(PID, t)
-- map patient ID to Mrn
t.patient[1].Mrn = tonumber(PID[3][1][1]:nodeValue())
-- map other patient fields
t.patient[1].LastName = PID[5][1][1][1]
t.patient[1].GivenName = PID[5][1][1][1]
t.patient[1].Race = PID[10][1][1]
t.patient[1].PhoneHome = PID[13][1][1]
t.patient[1].PhoneBusiness = PID[14][1][1]
t.patient[1].Religion = PID[17][2]
t.patient[1].MaritalStatus = PID[16][2]
t.patient[1].Ssn = PID[19]
t.patient[1].LicenseNumber = PID[20][1]
return t
end
Description
Demonstrates how to use conn:merge{} with a table that has an auto-incrementing Id column.
Attachments
Usage Details
The code in this example uses conn:merge{} to update an existing patient or add a new patient. It does this by using setting the Id for an existing patient (to cause an update), or removing the Id for a new patient (to cause an insert).
How to use the sample code:
- Create a MySQL database called Test
- Use the demo-autoinc.vmd to create the tables from within Iguana
- Change the Id column to an int data type, using “MySQL Workbench”
- Set the Id column as the Primary Key, using “MySQL Workbench”
- Load the project zip or paste the code into a Filter component
- If you paste the code you can load the sample data file
- Try out the code to see how it works
Note: we assume you are reasonably familiar with MySQL Workbench or a similar tool for MySQL.
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