我有一个相当大的XML文件(大约1-2GB)。
要求是将xml数据保存到数据库中。 目前,这是通过3个步骤实现的。
为了获得更好的性能,我想创建一个Producer-consumer模型,其中生产者创建一组实体,例如批量为10K并将其添加到Queue中。消费者应该从队列中获取批量实体并使用sqlbulkcopy持久保存到数据库。
谢谢, 戈库尔
void Main()
{
int iCount = 0;
string fileName = @"C:\Data\CatalogIndex.xml";
DateTime startTime = DateTime.Now;
Console.WriteLine("Start Time: {0}", startTime);
FileInfo fi = new FileInfo(fileName);
Console.WriteLine("File Size:{0} MB", fi.Length / 1048576.0);
/* I want to change this loop to create a producer consumer pattern here to process the data parallel-ly
*/
foreach (var element in StreamElements(fileName,"title"))
{
iCount++;
}
Console.WriteLine("Count: {0}", iCount);
Console.WriteLine("End Time: {0}, Time Taken:{1}", DateTime.Now, DateTime.Now - startTime);
}
private static IEnumerable<XElement> StreamElements(string fileName, string elementName)
{
using (var rdr = XmlReader.Create(fileName))
{
rdr.MoveToContent();
while (!rdr.EOF)
{
if ((rdr.NodeType == XmlNodeType.Element) && (rdr.Name == elementName))
{
var e = XElement.ReadFrom(rdr) as XElement;
yield return e;
}
else
{
rdr.Read();
}
}
rdr.Close();
}
}
答案 0 :(得分:4)
这是你想要做的吗?
void Main()
{
const int inputCollectionBufferSize = 1024;
const int bulkInsertBufferCapacity = 100;
const int bulkInsertConcurrency = 4;
BlockingCollection<object> inputCollection = new BlockingCollection<object>(inputCollectionBufferSize);
Task loadTask = Task.Factory.StartNew(() =>
{
foreach (object nextItem in ReadAllElements(...))
{
// this will potentially block if there are already enough items
inputCollection.Add(nextItem);
}
// mark this collection as done
inputCollection.CompleteAdding();
});
Action parseAction = () =>
{
List<object> bulkInsertBuffer = new List<object>(bulkInsertBufferCapacity);
foreach (object nextItem in inputCollection.GetConsumingEnumerable())
{
if (bulkInsertBuffer.Length == bulkInsertBufferCapacity)
{
CommitBuffer(bulkInsertBuffer);
bulkInsertBuffer.Clear();
}
bulkInsertBuffer.Add(nextItem);
}
};
List<Task> parseTasks = new List<Task>(bulkInsertConcurrency);
for (int i = 0; i < bulkInsertConcurrency; i++)
{
parseTasks.Add(Task.Factory.StartNew(parseAction));
}
// wait before exiting
loadTask.Wait();
Task.WaitAll(parseTasks.ToArray());
}