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namespace PLINQ_Samples
{
using System;
using System.Collections.Generic;
using System.Collections.Concurrent;
using System.Linq;
using System.Threading;
// Dummy classes for small query snippets in intro topic
class City
{
public int Population = 0;
public string Name = String.Empty;
}
class Person
{
public string Mayor = String.Empty;
public string CityName = string.Empty;
}
partial class PLINQProgram
{
static int Compute(int i) { return 1; }
static void Main_2(string[] args)
{
// SimpleQuery();
// OrderedQuery3();
//SequentialDemo(); ;
Console.ReadLine();
}
static void DOP()
{
var source = Enumerable.Range(0, 100000);
//<snippet5>
var query = from item in source.AsParallel().WithDegreeOfParallelism(2)
where Compute(item) > 42
select item;
//</snippet5>
}
static void Test()
{
var cities = new List<City>();
var people = new List<Person>();
// Order Preservation In PLINQ 1st snippet
//<snippet8>
var cityQuery = (from city in cities.AsParallel()
where city.Population > 10000
select city)
.Take(1000);
//</snippet8>
// Order Preservation In PLINQ 2nd snippet
//<snippet9>
var orderedCities = (from city in cities.AsParallel().AsOrdered()
where city.Population > 10000
select city)
.Take(1000);
//</snippet9>
//<snippet6>
var orderedCities2 = (from city in cities.AsParallel().AsOrdered()
where city.Population > 10000
select city)
.Take(1000);
var finalResult = from city in orderedCities2.AsUnordered()
join p in people.AsParallel() on city.Name equals p.CityName into details
from c in details
select new { Name = city.Name, Pop = city.Population, Mayor = c.Mayor };
foreach (var city in finalResult) { /*...*/ }
//</snippet6>
//...
////…
//You can write the same query in method based syntax as follows:
//[example]
//Another way to minimize the expense of order preservation is to impose a new ordering explicitly at a later stage in the query, after all filters have been applied, as shown in the following example:
//<snippet7>
var orderedCities3 = (from city in cities.AsParallel()
where city.Population > 10000
orderby city.Name
select city)
.Take(1000);
//</snippet7>
}
static void SimpleQuery()
{
var source = Enumerable.Range(100, 20000);
// Result sequence might be out of order.
var parallelQuery = from num in source.AsParallel()
where num % 10 == 0
select num;
// Process result sequence in parallel
parallelQuery.ForAll((e) => DoSomething(e));
// Or use foreach to merge results first.
foreach (var n in parallelQuery)
{
Console.WriteLine(n);
}
// You can also use ToArray, ToList, etc
// as with LINQ to Objects.
var parallelQuery2 = (from num in source.AsParallel()
where num % 10 == 0
select num).ToArray();
// Method syntax is also supported
var parallelQuery3 = source.AsParallel().Where(n => n % 10 == 0).Select(n => n);
Console.ReadLine();
}
static void DoSomething(int i) { }
private static void OrderedQuery()
{
//<snippet12>
var source = Enumerable.Range(9, 10000);
// Source is ordered; let's preserve it.
var parallelQuery = from num in source.AsParallel().AsOrdered()
where num % 3 == 0
select num;
// Use foreach to preserve order at execution time.
foreach (var v in parallelQuery)
Console.Write("{0} ", v);
// Some operators expect an ordered source sequence.
var lowValues = parallelQuery.Take(10);
//</snippet12>
}
static void OrderedQuery2()
{
var source = Enumerable.Range(108, 100000);
var parallelQuery = from num in source.AsParallel().AsOrdered()
where num % 8 == 0
select num;
// use foreach to preserve ordering
// during query execution.
foreach (var item in parallelQuery)
Console.Write("{0} ", item);
}
static void OrderedQuery3()
{
//<Snippet13>
var source = Enumerable.Range(8, 100000);
// Let the query access the data source will full parallelism
// and apply ordering to the filtered results.
var orderedQuery = from num in source.AsParallel()
where num % 8 == 0
orderby num
select num;
// use foreach to preserve query ordering
foreach (var v in orderedQuery)
Console.Write("{0} ", v);
//</snippet13>
}
//dummy signatures for compilation
// Removing old 24 and 25 becuase shared static data is a no-non and
// should not be used even for demonstration purposes
//<s n i p p e t 2 4>
//static void SequentialDemoOld()
//{
// var orders = GetOrders();
// int counter = 0;
// var parallelQuery = from ord in orders.AsParallel()
// where ord.ShippedDate > DateTime.Parse("7/7/1996")
// orderby ord.CustomerID
// select new
// {
// TempID = counter++, //possible race condition
// date = ord.ShippedDate,
// custID = ord.CustomerID
// };
// Console.WriteLine("Parallel -------------------------------------------------");
// foreach (var v in parallelQuery)
// Console.WriteLine("TempID: {0} {1} {2}", v.TempID, v.date.ToShortDateString(), v.custID);
// counter = 0;
// var sequentialQuery = orders.AsParallel()
// .OrderBy(o => o.CustomerID)
// .AsSequential()
// .Select(ord => new
// {
// TempID = counter++,
// date = ord.ShippedDate,
// custID = ord.CustomerID
// });
// Console.WriteLine("Sequential -------------------------------------------------");
// foreach (var v in sequentialQuery)
// Console.WriteLine("TempID: {0} {1} {2}", v.TempID, v.date.ToShortDateString(), v.custID);
//}
/*
* Excerpt from output (parallel results may vary on each execution):
* Parallel -------------------------------------------------
TempID: 60 9/24/1996 ANATR
TempID: 30 8/16/1996 BERGS
TempID: 32 9/12/1996 BERGS
TempID: 17 8/12/1996 BLONP
TempID: 49 9/10/1996 BLONP
TempID: 78 10/14/1996 BOLID
TempID: 83 10/21/1996 BONAP
TempID: 92 11/8/1996 BONAP
TempID: 41 8/28/1996 BSBEV
TempID: 11 7/25/1996 CENTC
TempID: 6 7/23/1996 CHOPS
...
Sequential -------------------------------------------------
TempID: 0 9/24/1996 ANATR
TempID: 1 8/16/1996 BERGS
TempID: 2 9/12/1996 BERGS
TempID: 3 8/12/1996 BLONP
TempID: 4 9/10/1996 BLONP
TempID: 5 10/14/1996 BOLID
TempID: 6 10/21/1996 BONAP
TempID: 7 11/8/1996 BONAP
TempID: 8 8/28/1996 BSBEV
TempID: 9 7/25/1996 CENTC
TempID: 10 7/23/1996 CHOPS
...
*/
//</s n i p p e t24>
//<s n i p p e t25>
//class TempOrder
//{
// public int TempID { get; set; }
// public DateTime Date { get; set; }
// public string CustID { get; set; }
//}
//static void SequentialDemoOld2()
//{
// var orders = GetOrders();
// int counter = 0;
// var sequentialQuery = orders.AsParallel()
// .OrderBy(o => o.CustomerID)
// .AsSequential()
// .Select(ord => new TempOrder
// {
// TempID = counter++,
// Date = ord.ShippedDate,
// CustID = ord.CustomerID
// })
// .AsParallel()
// .Select(o => GetProbabilityOfFutureOrders(o));
//}
//// Assume this takes a long time to calculate
//static string GetProbabilityOfFutureOrders(TempOrder ord)
//{
// // Simulate some heavy work.
// Thread.SpinWait(500000);
// return DateTime.Now.Ticks % 2 == 0 ? "neglible" : "significant";
//}
////</s n i p p e t25>
}
//<snippet16>
namespace PLINQCancellation_1
{
using System;
using System.Linq;
using System.Threading;
using System.Threading.Tasks;
class Program
{
static void Main(string[] args)
{
int[] source = Enumerable.Range(1, 10000000).ToArray();
CancellationTokenSource cts = new CancellationTokenSource();
// Start a new asynchronous task that will cancel the
// operation from another thread. Typically you would call
// Cancel() in response to a button click or some other
// user interface event.
Task.Factory.StartNew(() =>
{
UserClicksTheCancelButton(cs);
});
int[] results = null;
try {
results = (from num in source.AsParallel().WithCancellation(cts.Token)
where num % 3 == 0
orderby num descending
select num).ToArray();
}
catch (OperationCanceledException e) {
Console.WriteLine(e.Message);
}
catch (AggregateException ae) {
if (ae.InnerExceptions != null)
{
foreach (Exception e in ae.InnerExceptions)
Console.WriteLine(e.Message);
}
}
finally {
cts.Dispose();
}
if (results != null)
{
foreach (var v in results)
Console.WriteLine(v);
}
Console.WriteLine();
Console.ReadKey();
}
static void UserClicksTheCancelButton(CancellationTokenSource cs)
{
// Wait between 150 and 500 ms, then cancel.
// Adjust these values if necessary to make
// cancellation fire while query is still executing.
Random rand = new Random();
Thread.Sleep(rand.Next(150, 350));
cs.Cancel();
}
}
}
//</snippet16>
//<snippet17>
namespace PLINQCancellation_2
{
using System;
using System.Linq;
using System.Threading;
using System.Threading.Tasks;
class Program
{
static void Main(string[] args)
{
int[] source = Enumerable.Range(1, 10000000).ToArray();
CancellationTokenSource cts = new CancellationTokenSource();
// Start a new asynchronous task that will cancel the
// operation from another thread. Typically you would call
// Cancel() in response to a button click or some other
// user interface event.
Task.Factory.StartNew(() =>
{
UserClicksTheCancelButton(cts);
});
double[] results = null;
try {
results = (from num in source.AsParallel().WithCancellation(cts.Token)
where num % 3 == 0
select Function(num, cs.Token)).ToArray();
}
catch (OperationCanceledException e) {
Console.WriteLine(e.Message);
}
catch (AggregateException ae)
if (ae.InnerExceptions != null)
{
foreach (Exception e in ae.InnerExceptions)
Console.WriteLine(e.Message);
}
}
finally {
cts.Dispose();
}
if (results != null)
{
foreach (var v in results)
Console.WriteLine(v);
}
Console.WriteLine();
Console.ReadKey();
}
// A toy method to simulate work.
static double Function(int n, CancellationToken ct)
{
// If work is expected to take longer than 1 ms
// then try to check cancellation status more
// often within that work.
for (int i = 0; i < 5; i++)
{
// Work hard for approx 1 millisecond.
Thread.SpinWait(50000);
// Check for cancellation request.
ct.ThrowIfCancellationRequested();
}
// Anything will do for our purposes.
return Math.Sqrt(n);
}
static void UserClicksTheCancelButton(CancellationTokenSource cs)
{
// Wait between 150 and 500 ms, then cancel.
// Adjust these values if necessary to make
// cancellation fire while query is still executing.
Random rand = new Random();
Thread.Sleep(rand.Next(150, 350));
Console.WriteLine("Press 'c' to cancel");
if (Console.ReadKey().KeyChar == 'c')
cs.Cancel();
}
}
}
//</snippet17>
//<snippet18>
namespace PLINQCancellation_3
{
using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading;
class Program
{
static void Main(string[] args)
{
int[] source = Enumerable.Range(1, 10000000).ToArray();
CancellationTokenSource cs = new CancellationTokenSource();
IEnumerable<int> results = null;
try {
results = from num in source.AsParallel().WithCancellation(cs.Token)
where num % 3 == 0
orderby num descending
select num;
}
catch (OperationCanceledException e) {
Console.WriteLine(e.Message);
}
catch (AggregateException ae) {
if (ae.InnerExceptions != null)
{
foreach (Exception e in ae.InnerExceptions)
Console.WriteLine(e.Message);
}
}
finally {
cs.Dispose();
}
if (results != null)
{
foreach (var v in results)
Console.WriteLine(v);
}
Console.WriteLine();
Console.ReadKey();
}
}
}
//</snippet18>
//<snippet23>
namespace MergeOptions
{
using System;
using System.Diagnostics;
using System.Linq;
using System.Threading;
class Program
{
static void Main(string[] args)
{
var nums = Enumerable.Range(1, 10000);
// Replace NotBuffered with AutoBuffered
// or FullyBuffered to compare behavior.
//<snippet26>
var scanLines = from n in nums.AsParallel()
.WithMergeOptions(ParallelMergeOptions.NotBuffered)
where n % 2 == 0
select ExpensiveFunc(n);
//</snippet26>
Stopwatch sw = Stopwatch.StartNew();
foreach (var line in scanLines)
{
Console.WriteLine(line);
}
Console.WriteLine("Elapsed time: {0} ms. Press any key to exit.",
sw.ElapsedMilliseconds);
Console.ReadKey();
}
// A function that demonstrates what a fly
// sees when it watches television :-)
static string ExpensiveFunc(int i)
{
Thread.SpinWait(2000000);
return String.Format("{0} *****************************************", i);
}
}
}
//</snippet23>
//<snippet31>
namespace PLINQAggregation
{
using System;
using System.Linq;
class aggregation
{
static void Main(string[] args)
{
// Create a data source for demonstration purposes.
int[] source = new int[100000];
Random rand = new Random();
for (int x = 0; x < source.Length; x++)
{
// Should result in a mean of approximately 15.0.
source[x] = rand.Next(10, 20);
}
// Standard deviation calculation requires that we first
// calculate the mean average. Average is a predefined
// aggregation operator, along with Max, Min and Count.
double mean = source.AsParallel().Average();
// We use the overload that is unique to ParallelEnumerable. The
// third Func parameter combines the results from each thread.
double standardDev = source.AsParallel().Aggregate(
// initialize subtotal. Use decimal point to tell
// the compiler this is a type double. Can also use: 0d.
0.0,
// do this on each thread
(subtotal, item) => subtotal + Math.Pow((item - mean), 2),
// aggregate results after all threads are done.
(total, thisThread) => total + thisThread,
// perform standard deviation calc on the aggregated result.
(finalSum) => Math.Sqrt((finalSum / (source.Length - 1)))
);
Console.WriteLine("Mean value is = {0}", mean);
Console.WriteLine("Standard deviation is {0}", standardDev);
Console.ReadLine();
}
}
}
//</snippet31>
partial class PLINQProgram
{
//} end namespace
}
//<snippet50>
// This class contains a subset of data from the Northwind database
// in the form of string arrays. The methods such as GetCustomers, GetOrders, and so on
// transform the strings into object arrays that you can query in an object-oriented way.
// Many of the code examples in the PLINQ How-to topics are designed to be pasted into
// the PLINQDataSample class and invoked from the Main method.
partial class PLINQDataSample
{
public static void Main()
{
////Call methods here.
TestDataSource();
Console.WriteLine("Press any key to exit.");
Console.ReadKey();
}
static void TestDataSource()
{
Console.WriteLine("Customer count: {0}", GetCustomers().Count());
Console.WriteLine("Product count: {0}", GetProducts().Count());
Console.WriteLine("Order count: {0}", GetOrders().Count());
Console.WriteLine("Order Details count: {0}", GetOrderDetails().Count());
}
#region DataClasses
public class Order
{
private Lazy<OrderDetail[]> _orderDetails;
public Order()
{
_orderDetails = new Lazy<OrderDetail[]>(() => GetOrderDetailsForOrder(OrderID));
}
public int OrderID { get; set; }
public string CustomerID { get; set; }
public DateTime OrderDate { get; set; }
public DateTime ShippedDate { get; set; }
public OrderDetail[] OrderDetails { get { return _orderDetails.Value; } }
}
public class Customer
{
private Lazy<Order[]> _orders;
public Customer()
{
_orders = new Lazy<Order[]>(() => GetOrdersForCustomer(CustomerID));
}
public string CustomerID { get; set; }
public string CustomerName { get; set; }
public string Address { get; set; }
public string City { get; set; }
public string PostalCode { get; set; }
public Order[] Orders
{
get
{
return _orders.Value;
}
}
}
public class Product
{
public string ProductName { get; set; }
public int ProductID { get; set; }
public double UnitPrice { get; set; }
}
public class OrderDetail
{
public int OrderID { get; set; }
public int ProductID { get; set; }
public double UnitPrice { get; set; }
public double Quantity { get; set; }
public double Discount { get; set; }
}
#endregion
public static IEnumerable<string> GetCustomersAsStrings()
{
return System.IO.File.ReadAllLines(@"..\..\plinqdata.csv")
.SkipWhile((line) => line.StartsWith("CUSTOMERS") == false)
.Skip(1)
.TakeWhile((line) => line.StartsWith("END CUSTOMERS") == false);
}
public static IEnumerable<Customer> GetCustomers()
{
var customers = System.IO.File.ReadAllLines(@"..\..\plinqdata.csv")
.SkipWhile((line) => line.StartsWith("CUSTOMERS") == false)
.Skip(1)
.TakeWhile((line) => line.StartsWith("END CUSTOMERS") == false);
return (from line in customers
let fields = line.Split(',')
let custID = fields[0].Trim()
select new Customer()
{
CustomerID = custID,
CustomerName = fields[1].Trim(),
Address = fields[2].Trim(),
City = fields[3].Trim(),
PostalCode = fields[4].Trim()
});
}
public static Order[] GetOrdersForCustomer(string id)
{
// Assumes we copied the file correctly!
var orders = System.IO.File.ReadAllLines(@"..\..\plinqdata.csv")
.SkipWhile((line) => line.StartsWith("ORDERS") == false)
.Skip(1)
.TakeWhile((line) => line.StartsWith("END ORDERS") == false);
var orderStrings = from line in orders
let fields = line.Split(',')
where fields[1].CompareTo(id) == 0
select new Order()
{
OrderID = Convert.ToInt32(fields[0]),
CustomerID = fields[1].Trim(),
OrderDate = DateTime.Parse(fields[2]),
ShippedDate = DateTime.Parse(fields[3])
};
return orderStrings.ToArray();
}
// "10248, VINET, 7/4/1996 12:00:00 AM, 7/16/1996 12:00:00 AM
public static IEnumerable<Order> GetOrders()
{
// Assumes we copied the file correctly!
var orders = System.IO.File.ReadAllLines(@"..\..\plinqdata.csv")
.SkipWhile((line) => line.StartsWith("ORDERS") == false)
.Skip(1)
.TakeWhile((line) => line.StartsWith("END ORDERS") == false);
return from line in orders
let fields = line.Split(',')
select new Order()
{
OrderID = Convert.ToInt32(fields[0]),
CustomerID = fields[1].Trim(),
OrderDate = DateTime.Parse(fields[2]),
ShippedDate = DateTime.Parse(fields[3])
};
}
public static IEnumerable<Product> GetProducts()
{
// Assumes we copied the file correctly!
var products = System.IO.File.ReadAllLines(@"..\..\plinqdata.csv")
.SkipWhile((line) => line.StartsWith("PRODUCTS") == false)
.Skip(1)
.TakeWhile((line) => line.StartsWith("END PRODUCTS") == false);
return from line in products
let fields = line.Split(',')
select new Product()
{
ProductID = Convert.ToInt32(fields[0]),
ProductName = fields[1].Trim(),
UnitPrice = Convert.ToDouble(fields[2])
};
}
public static IEnumerable<OrderDetail> GetOrderDetails()
{
// Assumes we copied the file correctly!
var orderDetails = System.IO.File.ReadAllLines(@"..\..\plinqdata.csv")
.SkipWhile((line) => line.StartsWith("ORDER DETAILS") == false)
.Skip(1)
.TakeWhile((line) => line.StartsWith("END ORDER DETAILS") == false);
return from line in orderDetails
let fields = line.Split(',')
select new OrderDetail()
{
OrderID = Convert.ToInt32(fields[0]),
ProductID = Convert.ToInt32(fields[1]),
UnitPrice = Convert.ToDouble(fields[2]),
Quantity = Convert.ToDouble(fields[3]),
Discount = Convert.ToDouble(fields[4])
};
}
public static OrderDetail[] GetOrderDetailsForOrder(int id)
{
// Assumes we copied the file correctly!
var orderDetails = System.IO.File.ReadAllLines(@"..\..\plinqdata.csv")
.SkipWhile((line) => line.StartsWith("ORDER DETAILS") == false)
.Skip(1)
.TakeWhile((line) => line.StartsWith("END ORDER DETAILS") == false);
var orderDetailStrings = from line in orderDetails
let fields = line.Split(',')
let ordID = Convert.ToInt32(fields[0])
where ordID == id
select new OrderDetail()
{
OrderID = ordID,
ProductID = Convert.ToInt32(fields[1]),
UnitPrice = Convert.ToDouble(fields[2]),
Quantity = Convert.ToDouble(fields[3]),
Discount = Convert.ToDouble(fields[4])
};
return orderDetailStrings.ToArray();
}
}
//</snippet50>
partial class PLINQDataSample
{
//<snippet14>
// Paste into PLINQDataSample class.
static void SimpleOrdering()
{
var customers = GetCustomers();
// Take the first 20, preserving the original order
var firstTwentyCustomers = customers
.AsParallel()
.AsOrdered()
.Take(20);
foreach (var c in firstTwentyCustomers)
Console.Write("{0} ", c.CustomerID);
// All elements in reverse order.
var reverseOrder = customers
.AsParallel()
.AsOrdered()
.Reverse();
foreach (var v in reverseOrder)
Console.Write("{0} ", v.CustomerID);
// Get the element at a specified index.
var cust = customers.AsParallel()
.AsOrdered()
.ElementAt(48);
Console.WriteLine("Element #48 is: {0}", cust.CustomerID);
}
//</snippet14>
//<snippet15>
// Paste into PLINQDataSample class.
static void OrderedThenUnordered()
{
var orders = GetOrders();
var orderDetails = GetOrderDetails();
var q2 = orders.AsParallel()
.Where(o => o.OrderDate < DateTime.Parse("07/04/1997"))
.Select(o => o)
.OrderBy(o => o.CustomerID) // Preserve original ordering for Take operation.
.Take(20)
.AsUnordered() // Remove ordering constraint to make join faster.
.Join(
orderDetails.AsParallel(),
ord => ord.OrderID,
od => od.OrderID,
(ord, od) =>
new
{
ID = ord.OrderID,
Customer = ord.CustomerID,
Product = od.ProductID
}
)
.OrderBy(i => i.Product); // Apply new ordering to final result sequence.
foreach (var v in q2)
Console.WriteLine("{0} {1} {2}", v.ID, v.Customer, v.Product);
}
//</snippet15>
static void NestedLoops()
{
var date = DateTime.Now;
var customers = GetCustomers();
//<snippet20>
var q = from cust in customers.AsParallel()
from order in cust.Orders.AsParallel()
where order.OrderDate > date
select new { cust, order };
//</snippet20>
}
//<snippet22>
// Paste into PLINQDataSample class.
static void ForceParallel()
{
var customers = GetCustomers();
var parallelQuery = (from cust in customers.AsParallel()
.WithExecutionMode(ParallelExecutionMode.ForceParallelism)
where cust.City == "Berlin"
select cust.CustomerName)
.ToList();
}
//</snippet22>
//<snippet24>
// Paste into PLINQDataSample class.
static void SequentialDemo()
{
var orders = GetOrders();
var query = (from ord in orders.AsParallel()
orderby ord.CustomerID
select new
{
Details = ord.OrderID,
Date = ord.OrderDate,
Shipped = ord.ShippedDate
}).
AsSequential().Take(5);
}
//</snippet24>
//<snippet25>
class FileIteration
{
static void Main(){}
}
//</snippet25>
//<snippet41>
// Paste into PLINQDataSample class.
static void PLINQExceptions_1()
{
// Using the raw string array here. See PLINQ Data Sample.
string[] customers = GetCustomersAsStrings().ToArray();
// First, we must simulate some currupt input.
customers[54] = "###";
var parallelQuery = from cust in customers.AsParallel()
let fields = cust.Split(',')
where fields[3].StartsWith("C") //throw indexoutofrange
select new { city = fields[3], thread = Thread.CurrentThread.ManagedThreadId };
try
{
// We use ForAll although it doesn't really improve performance
// since all output is serialized through the Console.
parallelQuery.ForAll(e => Console.WriteLine("City: {0}, Thread:{1}", e.city, e.thread));
}
// In this design, we stop query processing when the exception occurs.
catch (AggregateException e)
{
foreach (var ex in e.InnerExceptions)
{
Console.WriteLine(ex.Message);
if (ex is IndexOutOfRangeException)
Console.WriteLine("The data source is corrupt. Query stopped.");
}
}
}
//</snippet41>
//<snippet42>
// Paste into PLINQDataSample class.
static void PLINQExceptions_2()
{
var customers = GetCustomersAsStrings().ToArray();
// Using the raw string array here.
// First, we must simulate some currupt input
customers[54] = "###";
// Create a delegate with a lambda expression.
// Assume that in this app, we expect malformed data
// occasionally and by design we just report it and continue.
Func<string[], string, bool> isTrue = (f, c) =>
{
try
{
string s = f[3];
return s.StartsWith(c);
}
catch (IndexOutOfRangeException e)
{
Console.WriteLine("Malformed cust: {0}", f);
return false;
}
};
// Using the raw string array here
var parallelQuery = from cust in customers.AsParallel()
let fields = cust.Split(',')
where isTrue(fields, "C") //use a named delegate with a try-catch
select new { city = fields[3] };
try
{
// We use ForAll although it doesn't really improve performance
// since all output must be serialized through the Console.
parallelQuery.ForAll(e => Console.WriteLine(e.city));
}
// IndexOutOfRangeException will not bubble up
// because we handle it where it is thrown.
catch (AggregateException e)
{
foreach (var ex in e.InnerExceptions)
Console.WriteLine(ex.Message);
}
}
//</snippet42>
}
}