FICO Xpress Optimization Examples Repository: Reading and writing records and lists

FICO Xpress Optimization Examples Repository

FICO Optimization Community

FICO Xpress Optimization Home

Reading and writing records and lists

Description

This set of examples shows how to work with advanced data structures when accessing data in spreadsheets and databases:

reading in records (recordin*.mos)
writing out records (recordout*.mos)
reading and writing lists (listinout*.mos)

The basic model version uses an ODBC connection to spreadsheets or databases through the odbc driver, model version (2) uses ODBC through SQL statements, and model version (3) uses the software-specific driver excel to access Excel spreadsheets. Model version (1) shows how to work with Mosel's text data file format.

Further explanation of this example: Xpress Whitepaper 'Using ODBC and other database interfaces with Mosel', Section Examples - Working with lists - Working with records.

listrecord.zip

[download all files]

Source Files

By clicking on a file name, a preview is opened at the bottom of this page.

recordin.mos	[download]
recordin1.mos	[download]
recordin2.mos	[download]
recordin3.mos	[download]
recordin4.mos	[download]
recordin5.mos	[download]
recordin6.mos	[download]
recordout.mos	[download]
recordout1.mos	[download]
recordout2.mos	[download]
recordout3.mos	[download]
recordout4.mos	[download]
recordout5.mos	[download]
recordout6.mos	[download]
listinout.mos	[download]
listinout1.mos	[download]
listinout2.mos	[download]
listinout3.mos	[download]
listinout4.mos	[download]
listinout5.mos	[download]
listinout6.mos	[download]

Data Files

recorddata.dat	[download]
recorddata.csv	[download]
recorddata2.csv	[download]
recorddata.mdb	[download]
recorddata.xls	[download]
recorddata2.xls	[download]
recordout_templ.xls	[download]
recorddata.xlsx	[download]
recorddata2.xlsx	[download]
recorddata.sqlite	[download]
listdata.dat	[download]
listdata.csv	[download]
listdata.mdb	[download]
listdata.xls	[download]
listdata.xlsx	[download]
listdata.sqlite	[download]

recorddata2.csv

Product,Mach,Cost,Duration
prod1,1,1.2,3
prod1,3,2.4,2
prod2,3,3,1
prod2,2,,2
prod4,1,4,5
prod4,4,3.2,2
prod3,3,5.7,2
prod3,4,2.9,8
prod3,1,3,