public void InsertSampleData()
{
//extra code for checking if sample data is already there. No need for this in real applications.
var countDocs = _productCatalogMongoRepository.GetCount<Book>();
if (countDocs < 1)
{
var books = new List<Book>();
//let's insert some meaningful data first
books.AddRange(getSampleBooks());
var authors = _productCatalogMongoRepository.GetOptionSet<Author, DenormalizedReference>(); ;
var categories = _productCatalogMongoRepository.GetOptionSet<BookCategory, DenormalizedReference>();
//now let's add some 20K more documents
var randomValue = new Random();
for (int count = 0; count < 5000; count++)
{
var book = new Book
{
Name = string.Format("RandomBook {0} {1}", randomValue.Next(10, 21), randomValue.Next(99, 100000)),
Description = "Test Description",
AvaliableCopies = randomValue.Next(30, 100),
Author = authors[randomValue.Next(authors.Count)],
Category = categories[randomValue.Next(categories.Count)],
};
books.Add(book);
}
this.QueueInsert(books);
}
}
//Storing book information and then flowing it to search engine is absolutely critical to me. Hence queuing this to RabbitMQ
string QueueInsert(Book entity)
{
_productCatalogMongoRepository.SetDocumentDefaults(entity);
//getting the mongoEntityID first, then queue to Search engine. RPC based queuing
var task = _queueClient.Bus.RequestAsync<IMXEntity, BookQueueResponse>(entity);
task.ContinueWith(response =>
{
var searchDoc = new BookSearchDocument
{
Id = response.Result.Id,
Title = entity.Name,
Author = new MXSearchDenormalizedRefrence { DenormalizedId = entity.Author.DenormalizedId, DenormalizedName = entity.Author.DenormalizedName },
Category = new MXSearchDenormalizedRefrence { DenormalizedId = entity.Category.DenormalizedId, DenormalizedName = entity.Category.DenormalizedName },
AvaliableCopies = entity.AvaliableCopies,
};
_queueClient.Bus.Publish<ISearchDocument>(searchDoc);
});
return "queued";
}
