Search Results

Search found 4 results on 1 pages for 'rets'.

Page 1/1 | 1 

• RETS data fetching problem.

  - by Jimit

  Hello everyone, I am working on one real estate website which is Using RETS service to get the data to my local server. but I have one little bit problem here,I can fetch data from RETS which is having about 3lacks record in RETS Database but I didn't find the way,How can I fetch that all records in bunch of 50k at a time ? I didn't find any 'LIMIT' keyword on RETS.so how can I fetch without 'LIMIT' 50k records at a time? Please help me.

  Read the article

• iOS - NSURLConnection - Connecting to server and get Nonce

  - by Satyam svv

  I'm writing iOS application. There's a server related to some real estate. I've to send the following request to server to get the Nonce. GET /ptest/login HTTP/1.1 Method: GET User-Agent: MRIS API Testing Tool/2.0 Rets-Version: RETS/1.7 Accept: */* Host: ptest.mris.com:6103 Connection: keep-alive I'm using ASI HTTP with following code to post: [self setRequest:[ASIHTTPRequest requestWithURL:[NSURL URLWithString:@"/ptest/login"]]]; [request addRequestHeader:@"User-Agent" value:@"CARETS-General/1.0"]; [request addRequestHeader:@"Rets-Version" value:@"1.7"]; [request addRequestHeader:@"Connection" value:@"keep-alive"]; [request addRequestHeader:@"Accept" value:@"*/*"]; [request addRequestHeader:@"Host" value:"ptest.mris.com:6103"]; [request setDelegate:self]; [request setDidFinishSelector:@selector(topSecretFetchComplete:)]; [request setDidFailSelector:@selector(topSecretFetchFailed:)]; [request startAsynchronous]; The response that I'm getting is Error: Unable to start HTTP connection Can some one point me how to establish successful connection?

  Read the article

• How do you design a database to allow fast multicolumn searching?

  - by Fletcher Moore

  I am creating a real estate search from RETS data, but this is a general question. When you have a variety of columns that you would like the user to be able to filter their search result by, how do you optimize this? For example, http://www.charlestonrealestateguide.com/listings.php has 16 or so optional filters. Granted, he only has up to 11,000 entries (I have the same data), but I don't imagine the search is performed with just a giant WHERE AND AND AND ... clause. Or is this typically accomplished with one giant multicolumn index? Newegg, Amazon, and countless others also have cool & fast filtering systems for large amounts of data. How do they do it? And is there a database optimization reason for the tendency to provide ranges instead of empty inputs, or is that merely for user convenience?

  Read the article

• Efficient data importing?

  - by Kevin

  We work with a lot of real estate, and while rearchitecting how the data is imported, I came across an interesting issue. Firstly, the way our system works (loosely speaking) is we run a Coldfusion process once a day that retrieves data provided from an IDX vendor via FTP. They push the data to us. Whatever they send us is what we get. Over the years, this has proven to be rather unstable. I am rearchitecting it with PHP on the RETS standard, which uses SOAP methods of retrieving data, which is already proven to be much better than what we had. When it comes to 'updating' existing data, my initial thought was to query only for data that was updated. There is a field for 'Modified' that tells you when a listing was last updated, and the code I have will grab any listing updated within the last 6 hours (give myself a window in case something goes wrong). However, I see a lot of real estate developers suggest creating 'batch' processes that run through all listings regardless of updated status that is constantly running. Is this the better way to do it? Or am I fine with just grabbing the data I know I need? It doesn't make a lot of sense to me to do more processing than necessary. Thoughts?

  Read the article

1