示例#1
0
        /// <summary>
        /// Run shopping cart analysis on ScaleOut's distributed data grid
        /// using Invoke() and Merge() extension methods.
        /// </summary>
        /// <param name="collection">Collection of shopping carts.</param>
        /// <remarks>
        /// Using the .Invoke() and .Merge() extension methods on a NamedCache
        /// can give you the same result as .ForEach(), but with higher
        /// GC overhead (more temporary Result objects are created).
        /// </remarks>
        static void RunDistributedAnalysisViaPMI(NamedCache cartCache)
        {
            string productName = "Acme Snow Globe"; // product to find in the carts
            Result finalResult;                     // result of the computation

            finalResult = cartCache.QueryObjects <ShoppingCart>()
                          .Invoke(
                timeout: TimeSpan.FromMinutes(1),
                param: productName,
                evalMethod: (cart, pName) =>
            {
                var result      = new Result();
                result.numCarts = 1;
                // see if the selected product is in the cart:
                if (cart.Items.Any(item => item.Name.Equals(pName)))
                {
                    result.numMatches++;
                }

                return(result);
            })
                          .Merge(
                (result1, result2) =>
            {
                result1.numMatches += result2.numMatches;
                result1.numCarts   += result2.numCarts;
                return(result1);
            });

            float resultPct = (float)finalResult.numMatches / finalResult.numCarts * 100;

            Console.WriteLine($"{resultPct:N1} percent of carts contain {productName}");
        }
示例#2
0
        /// <summary>
        /// Run shopping cart analysis on ScaleOut's distributed data grid,
        /// only considering carts whose value is at least $20.
        /// </summary>
        /// <param name="collection">Collection of shopping carts.</param>
        /// <remarks>
        /// Filtering for with a LINQ .Where() call is performed in the ScaleOut service
        /// when an object's property is marked with a [SossIndex] attribute
        /// (like ShoppingCart.TotalValue, in this case). You can reduce deserialization
        /// overhead during ForEach analysis by filtering as much as possible in the
        /// storage engine.
        /// </remarks>
        static void RunDistributedAnalysisMin20(NamedCache cartCache)
        {
            string productName = "Acme Snow Globe"; // product to find in the carts
            Result finalResult;                     // result of the computation

            finalResult = cartCache.QueryObjects <ShoppingCart>()
                          .Where(cart => cart.TotalValue >= 20.00m) // filter out low-value carts in the server.
                          .ForEach(
                productName,                                        // parameter
                () => new Result(),                                 // result-initialization delegate
                (cart, pName, result) =>                            // body of analysis logic
            {
                // see if the selected product is in the cart:
                if (cart.Items.Any(item => item.Name.Equals(pName)))
                {
                    result.numMatches++;
                }

                result.numCarts++;
                return(result);
            },
                (result1, result2) =>    // merge logic
            {
                result1.numMatches += result2.numMatches;
                result1.numCarts   += result2.numCarts;
                return(result1);
            });

            float resultPct = (float)finalResult.numMatches / finalResult.numCarts * 100;

            Console.WriteLine($"{resultPct:N1} percent of $20+ carts contain {productName}");
        }