MYSQL Dataloader.

Don't blind bid this project as it is small and confusing, but should not be that difficult to the right person. As soon as I find someone with the timeframe and price that I am looking for, I will go with that person right away. I need work to start right away. I need it done right away. Speed is the most important thing. Need this as soon as possible. Please let me know how much, and how long, and go ahead and start. This does not need to be php...it can be straight mysql in order to get it faster. You will recieve 5 files. File 1:[login to view URL] file that will need to be imported. File 2:Friends database which you actually only need one table for the table is zipData. You can extract this table and do what you need to do. We do not need anything other then that table (in that database) for the dataloader. File 3:The jobs database, which is where the data ultimately needs to end up. The only field that you will need to import data into that database is phpjob_jobs File 4: [login to view URL] This is a sample search file that uses the zipData database. Basically a search form with some functions that allows you to use a pull down menu to search for people with 5/10/15/20 miles from a entered zipcode. File 5: [login to view URL] This is a comparison file. The main field to be concerned with here is sample.tsv. The filed to be concerned with is the field that has "WA-Redmond" in it. WA is the State of Washington, and Redmond is the city. The query will need to find which primary location in [login to view URL] it is closest too and set the field "jobcategoryid" when the file [login to view URL] is data loaded. Overview of what needs to happen. Tsv file is "pre-loaded". Query looks at row where city/state data is located in tsv file. Compares that field to the fields in Zipdata city/state and pulls that Zipcode Compare that zipcode with list of zipcodes for my primary locations in [login to view URL] Location ID is selected and placed in original spreadsheet under the column that (now has "89" in it) The datasheet is now loaded with all that information in it. If City is not found, then create rows for all locations for that state.