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MES-ETL/Mesdb.DataGenerator/Program.cs

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多项新特性和更改： - 添加模拟数据生成器； - GC时添加碎片整理； - 优化日志输出，添加更多DEBUG监控项目； - 修复输出时分库配置逻辑的严重错误； - 优化了少许内存性能，减少Lambda闭包分配；
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// See https://aka.ms/new-console-template for more information
using System.Text;
using Mesdb.DataGenerator;
using MesETL.App;
using MesETL.App.Cache;
using MesETL.App.Const;
using MesETL.App.HostedServices;
using MesETL.App.HostedServices.Abstractions;
using MesETL.App.Options;
using MesETL.App.Services;
using MesETL.App.Services.ErrorRecorder;
using MesETL.App.Services.ETL;
using MesETL.App.Services.Loggers;
using MesETL.App.Services.Seq;
using Microsoft.Extensions.Configuration;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;
using Microsoft.Extensions.Logging;
using Serilog;
using Serilog.Events;
await RunProgram();
return;
async Task RunProgram()
{
ThreadPool.SetMaxThreads(200, 200);
var host = Host.CreateApplicationBuilder(args);
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var inputOptions = host.Configuration.GetRequiredSection("Input").Get<DataInputOptions>()
?? throw new ApplicationException("缺少Input配置");
var transformOptions = host.Configuration.GetRequiredSection("Transform").Get<DataTransformOptions>()
?? throw new ApplicationException("缺少Transform配置");
var outputOptions = host.Configuration.GetRequiredSection("Output").Get<DatabaseOutputOptions>()
?? throw new ApplicationException("缺少Output配置");
var tenantDbSection = host.Configuration.GetRequiredSection("TenantDb");
多项新特性和更改： - 添加模拟数据生成器； - GC时添加碎片整理； - 优化日志输出，添加更多DEBUG监控项目； - 修复输出时分库配置逻辑的严重错误； - 优化了少许内存性能，减少Lambda闭包分配；
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var tenantDbOptions = new TenantDbOptions()
{
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TenantKey = tenantDbSection.GetValue<string>(nameof(TenantDbOptions.TenantKey)) ??
throw new ApplicationException("分库配置缺少分库键TenantKey"),
UseDbGroup = tenantDbSection.GetValue<string>(nameof(TenantDbOptions.UseDbGroup)) ??
throw new ApplicationException("分库配置缺少使用分库组UseDbGroup")
多项新特性和更改： - 添加模拟数据生成器； - GC时添加碎片整理； - 优化日志输出，添加更多DEBUG监控项目； - 修复输出时分库配置逻辑的严重错误； - 优化了少许内存性能，减少Lambda闭包分配；
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};
host.Services.Configure<TenantDbOptions>(options =>
{
options.TenantKey = tenantDbOptions.TenantKey;
options.DbGroup = tenantDbOptions.DbGroup;
options.UseDbGroup = tenantDbOptions.UseDbGroup;
});
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tenantDbOptions.DbGroup = tenantDbSection.GetRequiredSection($"DbGroups:{tenantDbOptions.UseDbGroup}")
.Get<Dictionary<string, int>>()
?? throw new ApplicationException($"分库配置无法解析分库组{tenantDbOptions.UseDbGroup}，请检查配置");
多项新特性和更改： - 添加模拟数据生成器； - GC时添加碎片整理； - 优化日志输出，添加更多DEBUG监控项目； - 修复输出时分库配置逻辑的严重错误； - 优化了少许内存性能，减少Lambda闭包分配；
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host.Services.Configure<MockInputOptions>(options =>
{
优化SQL语句输出，修复处理进度中错误的表输入计数器。
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const float Multiplexer = 1F;
多项新特性和更改： - 添加模拟数据生成器； - GC时添加碎片整理； - 优化日志输出，添加更多DEBUG监控项目； - 修复输出时分库配置逻辑的严重错误； - 优化了少许内存性能，减少Lambda闭包分配；
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var SampleSharedKeys = Enumerable.Range(0, 11).Select(i => (23010 + i * 10).ToString()).Concat(
Enumerable.Range(0, 11).Select(i => (24010 + i * 10).ToString())).ToArray();
options.Rules = new Dictionary<string, TableMockOptions>()
{
{
TableNames.Order, new TableMockOptions((long)(2912406 * Multiplexer), context =>
{
string[] headers =
[
"OrderNo", "ShardKey", "CreateTime", "CompanyID", "SchduleDeliveryDate", "OrderType",
"OrderSort",
"CadDataType", "Deleted", "ProcessState"
];
string[] fields =
[
(20241210000000 + context.Index).ToString(),
SampleSharedKeys[Random.Shared.Next(SampleSharedKeys.Length)],
$"\"{DateTime.Now:yyyy-MM-dd HH:mm:ss}\"",
Random.Shared.Next(1, 28888).ToString(),
$"\"{DateTime.Now.AddDays(Random.Shared.Next(1, 30)):yyyy-MM-dd HH:mm:ss}\"",
Random.Shared.Next(0, 3).ToString(),
Random.Shared.Next(0, 3).ToString(),
Random.Shared.Next(0, 3).ToString(),
Random.Shared.Next(0, 2).ToString(),
Random.Shared.Next(0, 2).ToString()
];
return new DataRecord(fields, TableNames.Order, headers);
})
},
{
TableNames.OrderItem, new TableMockOptions((long)(820241144 * Multiplexer), context =>
{
string[] headers =
[
"ID", "ShardKey", "OrderNo", "ItemNo", "ItemType", "RoomID", "BoxID", "DataID", "PlanID",
"PackageID", "Num", "CompanyID"
];
string[] fields =
[
context.Index.ToString(),
SampleSharedKeys[Random.Shared.Next(SampleSharedKeys.Length)],
(20241210000000 + Random.Shared.Next(0, 2912406)).ToString(),
(2412000000000 + context.Index).ToString(),
Random.Shared.Next(0, 3).ToString(),
Random.Shared.Next(1, 1000000).ToString(),
Random.Shared.Next(1, 1000000).ToString(),
Random.Shared.Next(1, 1000000).ToString(),
Random.Shared.Next(1, 1306670366).ToString(),
Random.Shared.Next(1, 10000000).ToString(),
(Random.Shared.Next(1, 2000000) / 1000).ToString("F3"),
Random.Shared.Next(1, 28888).ToString(),
];
return new DataRecord(fields, TableNames.OrderItem, headers);
})
},
{
TableNames.OrderDataBlock, new TableMockOptions((long)(428568719 * Multiplexer), context =>
{
string[] headers =
[
"ID", "ShardKey", "OrderNo", "BoardName", "BoardType", "GoodsID", "Width", "Height",
"Thickness",
"SpliteWidth", "SpliteHeight", "SpliteThickness", "SealedLeft", "SealedRight", "SealedUp",
"SealedDown", "Area", "Wave", "HoleFace", "PaiKong", "RemarkJson", "UnRegularPointCount",
"FrontHoleCount", "BackHoleCount", "SideHoleCount", "FrontModelCount", "BackModelCount",
"IsDoor",
"OpenDoorType", "CompanyID", "BorderLengthHeavy", "BorderLengthLight", "IsHXDJX",
"ModuleTypeID",
"PlanFilterType"
];
string[] BoardNames = ["左侧板", "右侧板", "左开门板", "右开门板", "薄背板", "顶板", "底板", "地脚线", "后地脚", "层板", "立板"];
string[] fields =
[
context.Index.ToString(),
SampleSharedKeys[Random.Shared.Next(SampleSharedKeys.Length)],
(20241210000000 + Random.Shared.Next(0, 2912406)).ToString(),
$"\"{BoardNames[Random.Shared.Next(0, BoardNames.Length)]}\"",
Random.Shared.Next(0, 3).ToString(),
Random.Shared.Next(1, 1000000).ToString(),
(Random.Shared.Next(1, 2000000) / 1000).ToString("F3"),
(Random.Shared.Next(1, 1200000) / 1000).ToString("F3"),
(Random.Shared.Next(1, 18000) / 1000).ToString("F3"),
(Random.Shared.Next(1, 2000000) / 1000).ToString("F3"),
(Random.Shared.Next(1, 1200000) / 1000).ToString("F3"),
(Random.Shared.Next(1, 18000) / 1000).ToString("F3"),
(Random.Shared.Next(1, 2000) / 1000).ToString("F2"),
(Random.Shared.Next(1, 2000) / 1000).ToString("F2"),
(Random.Shared.Next(1, 2000) / 1000).ToString("F2"),
(Random.Shared.Next(1, 2000) / 1000).ToString("F2"),
(Random.Shared.Next(1, 3000) / 1000).ToString("F3"),
Random.Shared.Next(0, 3).ToString(),
Random.Shared.Next(0, 3).ToString(),
Random.Shared.Next(0, 3).ToString(),
Convert.ToHexString(Encoding.UTF8.GetBytes(MockHelper.RandomString(100))),
Random.Shared.Next(0, 4).ToString(),
Random.Shared.Next(0, 4).ToString(),
Random.Shared.Next(0, 4).ToString(),
Random.Shared.Next(0, 4).ToString(),
Random.Shared.Next(0, 4).ToString(),
Random.Shared.Next(0, 4).ToString(),
Random.Shared.Next(0, 2).ToString(),
Random.Shared.Next(0, 6).ToString(),
Random.Shared.Next(1, 28888).ToString(),
(Random.Shared.Next(1, 2000000) / 1000).ToString("F3"),
(Random.Shared.Next(1, 2000000) / 1000).ToString("F3"),
Random.Shared.Next(0, 2).ToString(),
Random.Shared.Next(0, 100000).ToString(),
Random.Shared.Next(0, 5).ToString(),
];
return new DataRecord(fields, TableNames.OrderDataBlock, headers);
})
},
{
TableNames.OrderBoxBlock, new TableMockOptions((long)(20163038 * Multiplexer), context =>
{
string[] headers = ["BoxID", "ShardKey", "OrderNo", "Data", "CompanyID"];
string[] fields =
[
context.Index.ToString(),
SampleSharedKeys[Random.Shared.Next(SampleSharedKeys.Length)],
(20241210000000 + Random.Shared.Next(0, 2912406)).ToString(),
OrderBoxBlockHelper.RandomPick(),
Random.Shared.Next(1, 28888).ToString(),
];
return new DataRecord(fields, TableNames.OrderBoxBlock, headers);
})
},
{
TableNames.OrderModuleExtra, new TableMockOptions((long)(33853580 * Multiplexer), context =>
{
string[] headers =
[
"ID", "ShardKey", "OrderNo", "RoomID", "BoxID", "PropType", "JsonStr", "CompanyID"
];
string[] fields =
[
context.Index.ToString(),
SampleSharedKeys[Random.Shared.Next(SampleSharedKeys.Length)],
(20241210000000 + Random.Shared.Next(0, 2912406)).ToString(),
Random.Shared.Next(1, 1000000).ToString(),
Random.Shared.Next(1, 1000000).ToString(),
Random.Shared.Next(0, 14).ToString(),
OrderModuleExtraHelper.PickJson(),
Random.Shared.Next(1, 28888).ToString(),
];
return new DataRecord(fields, TableNames.OrderModuleExtra, headers);
})
}
};
});
host.Services.Configure<DataTransformOptions>(options =>
{
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options.StrictMode = transformOptions.StrictMode;
options.EnableFilter = transformOptions.EnableFilter;
options.EnableReplacer = transformOptions.EnableReplacer;
options.EnableReBuilder = transformOptions.EnableReBuilder;
多项新特性和更改： - 添加模拟数据生成器； - GC时添加碎片整理； - 优化日志输出，添加更多DEBUG监控项目； - 修复输出时分库配置逻辑的严重错误； - 优化了少许内存性能，减少Lambda闭包分配；
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options.DatabaseFilter = record =>
{
var companyId = int.Parse(record[tenantDbOptions.TenantKey]); // 每个实体都应存在CompanyID，否则异常
return tenantDbOptions.GetDbNameByTenantKeyValue(companyId);
};
});
host.Services.Configure<DatabaseOutputOptions>(options =>
{
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options.ConnectionString = outputOptions.ConnectionString;
options.FlushCount = outputOptions.FlushCount;
options.MaxAllowedPacket = outputOptions.MaxAllowedPacket / 2;
options.MaxDatabaseOutputTask = outputOptions.MaxDatabaseOutputTask;
options.TreatJsonAsHex = outputOptions.TreatJsonAsHex;
options.NoOutput = outputOptions.NoOutput;
options.ForUpdate = outputOptions.ForUpdate;
多项新特性和更改： - 添加模拟数据生成器； - GC时添加碎片整理； - 优化日志输出，添加更多DEBUG监控项目； - 修复输出时分库配置逻辑的严重错误； - 优化了少许内存性能，减少Lambda闭包分配；
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// 配置列的类型以便于在输出时区分二进制内容
// Prod server
多项新特性和更改： - 添加模拟数据生成器； - GC时添加碎片整理； - 优化日志输出，添加更多DEBUG监控项目； - 修复输出时分库配置逻辑的严重错误； - 优化了少许内存性能，减少Lambda闭包分配；
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options.ColumnTypeConfig = new Dictionary<string, ColumnType>
{
{ "machine.Settings", ColumnType.Text },
{ "order_block_plan.BlockInfo", ColumnType.Text },
{ "order_block_plan.OrderNos", ColumnType.Json },
{ "order_block_plan_result.PlaceData", ColumnType.Blob },
{ "order_box_block.Data", ColumnType.Blob },
{ "order_data_block.RemarkJson", ColumnType.Text },
{ "order_data_goods.ExtraProp", ColumnType.Json },
{ "order_extra.ConfigJson", ColumnType.Json },
{ "order_module_extra.Data", ColumnType.Blob },
{ "order_module_extra.JsonStr", ColumnType.Text },
{ "order_patch_detail.BlockDetail", ColumnType.Json },
{ "order_process_schdule.AreaName", ColumnType.Text },
{ "order_process_schdule.ConsigneeAddress", ColumnType.Text },
{ "order_process_schdule.ConsigneePhone", ColumnType.Text },
{ "order_process_schdule.CustomOrderNo", ColumnType.Text },
{ "order_process_schdule.OrderProcessStepName", ColumnType.Text },
{ "order_scrap_board.OutLineJson", ColumnType.Text },
{ "order_wave_group.ConfigJson", ColumnType.Json },
{ "process_info.Users", ColumnType.Text },
{ "process_item_exp.ItemJson", ColumnType.Text },
{ "report_template.SourceConfig", ColumnType.Text },
{ "report_template.Template", ColumnType.Text },
{ "simple_package.Items", ColumnType.Json },
{ "sys_config.JsonStr", ColumnType.Text },
{ "sys_config.Value", ColumnType.Text }
};
});
host.Services.AddLogging(builder =>
{
builder.ClearProviders();
改进模拟数据生成器，代码质量优化
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var logger = new LoggerConfiguration()
.MinimumLevel.Verbose()
多项新特性和更改： - 添加模拟数据生成器； - GC时添加碎片整理； - 优化日志输出，添加更多DEBUG监控项目； - 修复输出时分库配置逻辑的严重错误； - 优化了少许内存性能，减少Lambda闭包分配；
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.WriteTo.Console()
.WriteTo.File(Path.Combine(AppDomain.CurrentDomain.BaseDirectory, $"./Log/Error/{ErrorRecorder.UID}.log"),
restrictedToMinimumLevel: LogEventLevel.Error)
// .WriteTo.File("./Log/Info/{ErrorRecorder.UID}.log", restrictedToMinimumLevel:LogEventLevel.Information) //性能考虑暂不使用
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.CreateLogger();
builder.AddSerilog(logger);
Log.Logger = logger;
多项新特性和更改： - 添加模拟数据生成器； - GC时添加碎片整理； - 优化日志输出，添加更多DEBUG监控项目； - 修复输出时分库配置逻辑的严重错误； - 优化了少许内存性能，减少Lambda闭包分配；
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});
host.Services.AddDataSourceFactory();
host.Services.AddErrorRecorderFactory();
host.Services.AddSingleton<ProcessContext>();
host.Services.AddSingleton<SeqService>();
var prodLen = host.Configuration.GetRequiredSection("RecordQueue").GetValue<int>("ProducerQueueLength");
var consLen = host.Configuration.GetRequiredSection("RecordQueue").GetValue<int>("ConsumerQueueLength");
var maxCharCount = host.Configuration.GetRequiredSection("RecordQueue").GetValue<long>("MaxByteCount") / 2;
host.Services.AddKeyedSingleton<DataRecordQueue>(ConstVar.Producer, new DataRecordQueue(prodLen, maxCharCount));
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host.Services.AddRecordQueuePool(tenantDbOptions.DbGroup.Keys
多项新特性和更改： - 添加模拟数据生成器； - GC时添加碎片整理； - 优化日志输出，添加更多DEBUG监控项目； - 修复输出时分库配置逻辑的严重错误； - 优化了少许内存性能，减少Lambda闭包分配；
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.Select(key => (key: key, queue: new DataRecordQueue(consLen, maxCharCount))).ToArray());
// host.Services.AddSingleton<ITaskMonitorLogger, CacheTaskMonitorLogger>();
host.Services.AddSingleton<ITaskMonitorLogger, LoggerTaskMonitorLogger>();
host.Services.AddHostedService<MainHostedService>();
host.Services.AddSingleton<IInputService, MockInputService>();
host.Services.AddSingleton<ITransformService, TransformService>();
host.Services.AddSingleton<IOutputService, OutputService>();
host.Services.AddSingleton<TaskMonitorService>();
// host.Services.AddRedisCache(redisOptions);
host.Services.AddSingleton<ICacher, MemoryCache>();
var app = host.Build();
await app.RunAsync();
}
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