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POLoading a large number of rows into a SlickGrid using async JQuery requests and RavenDB
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  1. POLoading a large number of rows into a SlickGrid using async JQuery requests and RavenDB
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    copied!<p>I need to load > 10k rows of data into a <a href="https://github.com/mleibman/SlickGrid/wiki" rel="nofollow noreferrer">SlickGrid</a></p> <p>I believe SlickGrid is designed for just this sort of use based on the following official example which loads 500,000 client-side rows: <a href="http://mleibman.github.com/SlickGrid/examples/example-optimizing-dataview.html" rel="nofollow noreferrer">Optimizing The DataView</a> </p> <p>Since I cannot violate RavenDBs 'safety first' rule that stipulates returning less than 1024 rows per session query, I have used RavenDB's skip-take mechanism which allows the web-client to gather all 10K rows from the server in bites size chunks of 256 rows per http request.</p> <p>My question is this: What is the best way to feed these rows into the SlickGrid as they are returned from the server? Does SlickGrid actively support the asynchronous loading of chunked up data-subsets like this? </p> <p>I am looking for:</p> <ol> <li>A SlickGrid callback that allows me to issue the next server request. </li> <li>An optimised way of appending the resulting rows into the DataView in one go e.g. </li> </ol> <p><code>grid.appendRows(rowSubset)</code></p> <p><a href="https://stackoverflow.com/q/9706833/776476">SlickGrid RemoteModel vs. Dataview Model</a> suggests SlickGrid is designed to work either with large client-side datasets or in the more grid-usual <em>page-on-demand</em> server model. I want to use the former client-side approach as it results in a superior User Experience, imho.</p> <p><strong>Disclaimer</strong>: I understand that I am loading a large number of rows and that the usual approach would be to simply request each page from the server as required. No matter how laudable this approach may be, this is not what I am trying to achieve. Instead I am deliberately attempting to load the entire dataset from the server in such a way that it does not inconvenience the user.</p> <p>Thanks</p>
 

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