考虑到这些要求,我如何为此文档构建我的 RavenDb 静态索引? [英] How do I construct my RavenDb static indexes for this document, given these requirements?
问题描述
我有将近 300 万个文档存储在 RavenDb 嵌入式实例中.每个字段都会受到某种类型的过滤器/查询/排序的影响,但特别是我想对 info 和 info2 列进行某种类型的智能文本搜索.我该如何构建 RavenDb 索引?
I have close to 3 million documents that are being stored in a RavenDb embedded instance. Everyone of the fields will be subjected to some type of filter/query/sorting, but in particular I wanted to do some type of intelligent textual search of the info and info2 columns. How might I go about constructing the RavenDb Indexes?
我第一次通过 info2 列看起来像这样.
My first pass at the info2 column looks like this.
store.DatabaseCommands.PutIndex("ProdcustByInfo2", new IndexDefinitionBuilder<Product>
{
Map = products => from product in products
select new { product.INFO2 },
Indexes = { { x => x.INFO2, FieldIndexing.Analyzed } }
});
谢谢,斯蒂芬
[Serializable]
public class Product
{
public string AveWeight { get; set; }
public string BrandName { get; set; }
public string CasePack { get; set; }
public string Catalog { get; set; }
public decimal CatalogId { get; set; }
public decimal CategoryId { get; set; }
public string Info { get; set; }
public bool IsOfflineSupplierItem { get; set; }
public bool IsRebateItem { get; set; }
public bool IsSpecialOrderItem { get; set; }
public bool IsSpecialPriceItem { get; set; }
public bool IsTieredPricingItem { get; set; }
public string ItemNum { get; set; }
public string ManufactureName { get; set; }
public string ManufactureNum { get; set; }
public decimal OffineSupplierId { get; set; }
public string PackageRemarks { get; set; }
public decimal Price { get; set; }
public decimal PriceGroupId { get; set; }
public decimal ProductId { get; set; }
public string ProductName { get; set; }
public int Quantity { get; set; }
public string SupplierName { get; set; }
public string UOM { get; set; }
public string Upc { get; set; }
public string Url { get; set; }
}
推荐答案
Spaten,
创建单个 RavenDB 索引,该索引输出您有兴趣查询的所有属性.将 Info2 和 Info 标记为全文搜索(已分析).
Create a single RavenDB index, which output all of the properties that you are interested in querying on. Mark the Info2 and Info as full text search (Analyzed).
大功告成.
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