ElasticsearchCRUD使用(四)【使用EF从SQLServer到Elasticsearch
AdventureWorks2012用作数据库,可以在这里下载。 您需要在代码工作之前安装数据库。 应用程序创建一个新的控制台应用程序,并从NuGet下载ElasticsearchCRUD和Entity Framework。 从AdventureWorks数据库创建代码第一个数据库。向项目添加一个新项,选择ADO.NET实体数据模型: 现在从数据库选项首先选择代码。 数据库已经存在。 从Person架构添加所有表。 Address表和Person表将用作文档根。 创建的Address类需要更改。 必须删除DbGeography SpatialLocation,因为这不是支持的类型。 在ElasticsearchCRUD V1.0.8或更高版本中,可以使用JsonIgnore属性忽略这一点。 namespace DataTransferSQLToEl.SQLDomainModel
{
using System;
using System.Collections.Generic;
using System.ComponentModel.DataAnnotations;
using System.ComponentModel.DataAnnotations.Schema;
using System.Data.Entity.Spatial;
[Table("Person.Address")]
public partial class Address
{
public int AddressID { get; set; }
[Required]
[StringLength(60)]
public string AddressLine1 { get; set; }
[StringLength(60)]
public string AddressLine2 { get; set; }
[Required]
[StringLength(30)]
public string City { get; set; }
public int StateProvinceID { get; set; }
[Required]
[StringLength(15)]
public string PostalCode { get; set; }
// This type is not supported yet...
//public DbGeography SpatialLocation { get; set; }
public Guid rowguid { get; set; }
public DateTime ModifiedDate { get; set; }
public virtual StateProvince StateProvince { get; set; }
}
}
选择实体并将文档添加到Elasticsearch。 Address 传输实现如下: public void SaveToElasticsearchAddress()
{
IElasticsearchMappingResolver elasticsearchMappingResolver = new ElasticsearchMappingResolver();
using (var elasticsearchContext = new ElasticsearchContext("http://localhost:9200/",elasticsearchMappingResolver))
{
//elasticsearchContext.TraceProvider = new ConsoleTraceProvider();
using (var modelPerson = new ModelPerson())
{
int pointer = 0;
const int interval = 100;
int length = modelPerson.CountryRegion.Count();
while (pointer < length)
{
stopwatch.Start();
var collection = modelPerson.Address.OrderBy(t => t.AddressID).Skip(pointer).Take(interval).ToList<Address>();
stopwatch.Stop();
Console.WriteLine("Time taken for select {0} AddressID: {1}",interval,stopwatch.Elapsed);
stopwatch.Reset();
foreach (var item in collection)
{
elasticsearchContext.AddUpdateDocument(item,item.AddressID);
string t = "yes";
}
stopwatch.Start();
elasticsearchContext.SaveChanges();
stopwatch.Stop();
Console.WriteLine("Time taken to insert {0} AddressID documents: {1}",stopwatch.Elapsed);
stopwatch.Reset();
pointer = pointer + interval;
Console.WriteLine("Transferred: {0} items",pointer);
}
}
}
}
一次选择了一百个实体,并将其添加到ElasticsearchCRUD上下文中。 这只是将对象添加到内存集合中。 调用SaveChanges方法时,将每个实体序列化为JSON对象。 当所有项目都被序列化时,HttpClient实例将HTTP批量POST请求中的所有对象发送到Elasticsearch。 直到所有项都被传输为止。 ElasticsearchCRUD将所有子元素序列化为1-N。 对已经转换的父对象的任何引用都将被忽略并保存为空属性。 创建的Elasticsearch 映射如下(对于Person和Address文档): {
"addresss": { "mappings": { "address": { "properties": { "addressid": { "type": "long" },"addressline1": { "type": "string" },"addressline2": { "type": "string" },"city": { "type": "string" },"modifieddate": { "type": "date","format": "dateOptionalTime" },"postalcode": { "type": "string" },"rowguid": { "type": "string" },"stateprovince": { "properties": { "countryregion": { "properties": { "countryregioncode": { "type": "string" },"name": { "type": "string" } } },"countryregioncode": { "type": "string" },"isonlystateprovinceflag": { "type": "boolean" },"name": { "type": "string" },"stateprovincecode": { "type": "string" },"stateprovinceid": { "type": "long" },"territoryid": { "type": "long" } } },"stateprovinceid": { "type": "long" } } } } },"persons": { "mappings": { "person": { "properties": { "additionalcontactinfo": { "type": "string" },"businessentityid": { "type": "long" },"demographics": { "type": "string" },"emailaddress": { "properties": { "businessentityid": { "type": "long" },"emailaddress1": { "type": "string" },"emailaddressid": { "type": "long" },"rowguid": { "type": "string" } } },"emailpromotion": { "type": "long" },"firstname": { "type": "string" },"lastname": { "type": "string" },"middlename": { "type": "string" },"namestyle": { "type": "boolean" },"personphone": { "properties": { "businessentityid": { "type": "long" },"phonenumber": { "type": "string" },"phonenumbertype": { "properties": { "modifieddate": { "type": "date","phonenumbertypeid": { "type": "long" } } },"persontype": { "type": "string" },"suffix": { "type": "string" },"title": { "type": "string" } } } } } }
可以使用ElasticsearchCRUD如下读取保存的对象。 ublic Address GetAddressFromElasticsearch(int id)
{
Address address;
IElasticsearchMappingResolver elasticsearchMappingResolver = new ElasticsearchMappingResolver();
using (var elasticsearchContext = new ElasticsearchContext("http://localhost:9200/",elasticsearchMappingResolver))
{
address = elasticsearchContext.GetDocument<Address>(id);
}
return address;
}
然后可以在控制台应用程序中使用。 完成后,具有嵌套子对象的所有对象将作为文档保存在Elasticsearch中。 using System;
namespace DataTransferSQLToEl {
class Program {
static void Main(string[] args)
{
var repo = new Repo();
repo.SaveToElasticsearchPerson();
repo.SaveToElasticsearchAddress();
var personX = repo.GetPersonFromElasticsearch(345);
var addressX = repo.GetAddressFromElasticsearch(22);
Console.WriteLine(addressX);
Console.WriteLine(personX);
}
}
}
如果您只希望保存父实体,并且不包含子实体(Elasticsearch中的NESTED对象),则可以在ElasticsearchCRUD上下文构造函数中设置此选项: bool saveChildEntitiesAsNestedObjects = false;
using (var elasticSearchContext =
new ElasticsearchContext(
"http://localhost:9200/",elasticsearchMappingResolver,saveChildEntitiesAsNestedObjects
)
)
{
// Do you coding here...
}
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