数据库 dbf文件导出小工具

程序是用.net6+sqlsugar+DotNetDBF等编写出来的

自己在使用过程中遇到想跨服务端把数据弄到本地进行测试并且我只是要部分表(当然数据库共工具一般也配有这样的功能 看个人选择),于是就自己写了下这个小程序工具。

先用程序导出dbf文件存到配置文件夹,然后迁移本地用程序一步导入到数据库2中(存储地址、导出地址等可配置)

给数据格式是 表名1,表名2,表名3 用逗号分隔 主要不要有表名以外的其他字符

在appsettings.json 配置即可 我用的数据库是sqlserver 如果使用其他数控 可以搜索sqlsugar 官方文档或网上示例配置连接字符串

这是用程序从服务端导出的文件 导出配置db1  导入配置db2  

这是我用程序导入的结果  当然空库就行 不用建表

运行版本地址在这:https://gitee.com/Lzyqqcy__Admin/dbf-util-run

源码在这:https://gitee.com/Lzyqqcy__Admin/dbp-util

注:这只是一个小工具 不喜勿喷,如果运行闪退安装一下.net6 运行时,还有要第一步配置连接字符串,这是控制台程序 如果没有出任何提示 等一回按回车 看是否出报错信息 来进行配置

Introduction This article present a tiny database engine which implements fixed width record tables and BTree indexes. This library is a work in progress, I am looking for some feedback on this to see if there is a need for it. This article is also a work in progress please bookmark and come back later, if you want to see the final article. Why an embedded database Although most of us will use a SQL Server to store and retrieve data sets. There are several situation where an embedded database make sense. When you don't have a SQL Server available When you want your footprint as small as possible and can't afford SQL Express When you want to manipulate or cache SQL data When you need to write highly procedural data manipulation routines When you want maximum speed Features Despite its small size DbfDotNet provides a number of features that you might find useful Type safe In DbfDotNet you manipulate classes with native field types. All data conversion plumbing is done automatically. Very simple entity framework Creating a record and accessing its propery is only what you need. Very small memory footprint Last time I checked the dbfDotNet dll was 50Kb. Other databases are 1Mb to 10Mb. I would appreciate if someone could do some memory usage comparison (I will insert it here). Fast DbfDotNet was conceived for speed. DbfDotNet do not use PInvoke, Threading locks, and do not implement any transaction system. Those 3 technologies have a performance cost that it won't have to pay. In contrast it is using TypeSafe records (without boxing/unboxing) and type safe emitted code. The code is emitted only once per table. It has therefore I believe the potential to be the fastest embedded .Net database there is. I would appreciate if someone could do some speed comparison (I will insert it here). Very small runtime memory usage When you use in Memory DataTable or SQL requests that return DataSets, the entire result sets is in memory. DbfDotNet works conjointly with the garbage collector. As soon as you're finished modifying an entity the garbage collector will mark the record buffer to be saved to disk and released from memory. Why Dbf By default the files are compatible with dBase and can therefore be open in Excel and many other packages. I have been asked : Why Dbf ? Dbf is an old format. The answer is a bit long but simple. As I said earlier DbfDotNet is designed to be as fast as possible. In order to get the database started and get some interest I need two things: A good product A good user base I know by experience that the DBF format will appeal to some of you for several reason: You can easily backup DBF files (and leave index files) You can check DBF content using Excel and many other tools DBF is well known and simple to implement It can be extended to modern types (and has been by clipper and fox pro) Most importantly for me, implementing the .DBF rather that my own custom format has no impact on runtime speed. How does it compare to ADO.Net, SQL, SqlLite, SharpSQL ... I did some speed test against another database (which I won't name) The results are quite encouraging. Dbf.Net ADO.Net Collapse Copy CodeOpening DbfDotNetDatabase: 185 ms Insert 1000 individuals: 39 ms Read individuals sequentially: 5 ms Read individual randomly: 3 ms Modifying individuals: 21 ms Create DateOfBirth index: 77 ms Michael Simmons 22/07/1909 Mark Adams 21/09/1909 Charles Edwards 28/09/1909 ... total 1000 records Enumerate Individuals by age: 36 ms Closing DbfDotNetDatabase: 44 ms Collapse Copy CodeOpening ADO.Net Database: 459 ms Insert 1000 individuals: 80601 ms Read individuals sequentially: 1655 ms Read individual randomly: 1666 ms Modifying individuals: 75574 ms Create DateOfBirth index: 80 ms Michael Simmons 22/07/1909 Mark Adams 21/09/1909 Charles Edwards 28/09/1909 ... total 1000 records Enumerate Individuals by age: 29 ms Closing ADO.Net Database: 0 ms In this test Dbf.Net runs nearly 400 times faster. This is quite unfair however. Dbf.Net does not have transactions and is not ACID. Lets not focus to much on speed but more on code differences: Creating a Table Creating the table is quite different. Dbf.Net requires a type safe record upfront to create a table. In ADO.Net you provide a string. Dbf.Net ADO.Net Collapse Copy CodeDbfTable<dbfdotnetindividual> mIndividuals; void CreateIndividualTable() { mIndividuals = new DbfTable<dbfdotnetindividual>( @"individuals.dbf", Encoding.ASCII, DbfDotNet.DbfVersion.dBaseIV); } class Individual : DbfDotNet.DbfRecord, IIndividual { [DbfDotNet.Column(Width = 20)] public string FIRSTNAME; [DbfDotNet.Column(Width = 20)] public string MIDDLENAME; [DbfDotNet.Column(Width = 20)] public string LASTNAME; public DateTime DOB; [DbfDotNet.Column(Width = 20)] public string STATE; } Collapse Copy CodeConnection _cnn = null; void ITestDatabase.CreateIndividualTable() { _cnn = new System.Data.Connection( "Data Source=adoNetTest.db"); _cnn.Open(); using (DbCommand cmd = _cnn.CreateCommand()) { cmd.CommandText = "CREATE TABLE INDIVIDUAL (ID int primary key, FIRSTNAME VARCHAR(20), MIDDLENAME VARCHAR(20), LASTNAME VARCHAR(20), DOB DATE, STATE VARCHAR(20))"; cmd.ExecuteNonQuery(); } } Inserting new entries in a table: Dbf.Net ADO.Net Collapse Copy Codevoid InsertNewIndividual( int id, string firstname, string middlename, string lastname, DateTime dob, string state) { var indiv = mIndividuals.NewRecord(); indiv.FIRSTNAME = firstname; indiv.MIDDLENAME = middlename; indiv.LASTNAME = lastname; indiv.DOB = dob; indiv.STATE = state; indiv.SaveChanges(); } Collapse Copy Codevoid InsertNewIndividual( int id, string firstname, string middlename, string lastname, DateTime dob, string state) { using (DbCommand cmd = _cnn.CreateCommand()) { cmd.CommandText = string.Format( "INSERT INTO INDIVIDUAL (ID, FIRSTNAME, MIDDLENAME, LASTNAME, DOB, STATE) VALUES({0}, '{1}', '{2}', '{3}', '{4}', '{5}');", id, firstname, middlename, lastname, dob.ToString("yyyy-MM-dd HH:mm:ss"), state); cmd.ExecuteNonQuery(); } } Getting an individual by record ID Dbf.Net ADO.Net Collapse Copy CodeIIndividual GetIndividualById(int id) { DbfDotNetIndividual result = mIndividuals.GetRecord(id); return result; } Collapse Copy CodeIIndividual GetIndividualById(int id) { using (DbCommand cmd = _cnn.CreateCommand()) { cmd.CommandText = string.Format( "SELECT * FROM INDIVIDUAL WHERE ID=" + id); var reader = cmd.ExecuteReader(); try { if (reader.Read()) return GetNewIndividual(reader); else return null; } finally { reader.Close(); } } } Individual GetNewIndividual( DbDataReader reader) { var res = new Individual(); res.ID = reader.GetInt32(0); res.FirstName = reader.GetString(1); res.MiddleName = reader.GetString(2); res.LastName = reader.GetString(3); res.Dob = reader.GetDateTime(4); res.State = reader.GetString(5); return res; } class Individual : IIndividual { public int ID { get; set; } public string FirstName { get; set; } public string MiddleName { get; set; } public string LastName { get; set; } public DateTime Dob { get; set; } public string State { get; set; } } Saving a modified individual back to the database. In Dbf.Net you don't have to write any code, if you don't want to wait for the garbage collector to collect your individual you can call SaveChanges. Dbf.Net ADO.Net Collapse Copy Codevoid SaveIndividual( Individual individual) { individual.SaveChanges(); } Collapse Copy Codevoid SaveIndividual( IIndividual individual) { using (DbCommand cmd = _cnn.CreateCommand()) { cmd.CommandText = string.Format( "UPDATE INDIVIDUAL SET DOB='{1}' WHERE ID={0};", individual.ID, individual.Dob.ToString( "yyyy-MM-dd HH:mm:ss")); cmd.ExecuteNonQuery(); } } Creating an Index Dbf.Net ADO.Net Collapse Copy Codevoid CreateDobIndex() { var sortOrder = new DbfDotNet.SortOrder<Individual>( /*unique*/false); sortOrder.AddField("DOB"); mDobIndex = mIndividuals.GetIndex( "DOB.NDX", sortOrder); } Collapse Copy Codevoid CreateDobIndex() { using (DbCommand cmd = _cnn.CreateCommand()) { cmd.CommandText = string.Format( "CREATE INDEX DOB_IDX ON INDIVIDUAL (DOB)"); cmd.ExecuteNonQuery(); } } Getting individuals sorted by Age Dbf.Net ADO.Net Collapse Copy CodeIEnumerable<Individual> IndividualsByAge() { foreach (Individual indiv in mDobIndex) { yield return indiv; } } Collapse Copy CodeIEnumerable<Individual> IndividualsByAge() { using (DbCommand cmd = _cnn.CreateCommand()) { cmd.CommandText = string.Format( "SELECT * FROM INDIVIDUAL ORDER BY DOB"); var reader = cmd.ExecuteReader(); try { while (reader.Read()) { yield return GetNewIndividual(reader); } } finally { reader.Close(); } } } High Level Interface I have been asked how I compare to other SQL databases. Again DbfDotNet is not a SQL engine. It is rather an object persistence framework, like the Microsoft Entity Framework or NHibernate. The difference is that it doesn't translate object manipulations into SQL requests because it speaks directly to the database layer. I would love to write a proper Dbf to Linq interface, if you want to help me on this please volunteer. The difference Using the code Warning: This project is at its infancy, it has not been tested thoroughly. You can try it but please don't use it in a live environment. If you want speed however and are ready to either report or fix issues that might arrise: Create a C# project Reference DbfDotNet.dll in your project Create a record class Write some code manipulate the records Point 3 and 4 are expanded below. The DbfRecord class The DbfRecord class represent one row in your table. You can can the column attribute to change DBF specific parameters. Collapse Copy Code class Individual : DbfDotNet.DbfRecord { [Column(Width = 20)] public string FIRSTNAME; [Column(Width = 20)] public string MIDDLENAME; [Column(Width = 20)] public string LASTNAME; public DateTime DOB; [Column(Width = 20)] public string STATE; }The system automatically chooses the DbfField most appropriate for your datatype. The DbfTable class In order to store your records somewhere you need to create a Table: Collapse Copy Code individuals = new DbfTable<Individual>( @"individuals.dbf", Encoding.ASCII, DbfVersion.dBaseIV); Note that this using a type safe template. Every record in the table are individual's. Record Manipulation You can add new lines in the table by using the NewRecord Collapse Copy Code var newIndiv = individuals.NewRecord();Then you simply use the fields in your record Collapse Copy Code newIndiv.LASTNAME = "GANAYE";Optionally you can make a call to SaveChanges to immediately save your changes. If you don't the data will be saved when your individual is garbage collected. Collapse Copy Code newIndiv.SaveChanges(); Index support This is still very basic. First you define your sort order: Collapse Copy Code var sortOrder = new SortOrder<Individual>(/* unique */ false); sortOrder.AddField("LASTNAME");Then you can get your index: Collapse Copy Code mIndex = individuals.GetIndex("lastname.ndx", sortOrder); You can then, In a type safe way, retrieve any individual from your index. Collapse Copy Code individual = mIndex.GetRecord(rowNo); In order to maximize speed, the index emit its own type safe code for : reading the index fields from the DBF record reading and writing index entries comparing index entries Inner architecture DbfDotNet main class is the ClusteredFile The ClusteredFile is a wrapper around stream that provide paging and caching support. The ClusteredFile is the base class for DbfFile and NdxFile. It will also be the base class for memo files when I write them. The ClusteredFile uses a class called QuickSerializer to serialize the record content to a byte array. QuickSerializer parse the Record fields and generate a bit of IL code for every fields to allow reading, saving and comparison. NdxFile implements a B+Tree index Roadmap My plan is to keep this library extremelly small. It is not my intention to implement any transaction or multi-threading support. I will implement : support for every DBF fields types memo fields (VARCHAR type) multiple indexes files (*.mdx) Proper documentation LINQ (in a separate dll) If you want to help me on this project please contact me. Points of Interest In order to maximize speed I forced myself to not use any thread synchronization locking. Each set of Dbf + Indexes must be called from a given thread. In other word each dbf file and its index can be used by only one thread. I encountered a problem though when the Garbage Collector finalize a record, this is done in the Garbage Collector thread. I did not want to lock a resource and ended up writing this code: Collapse Copy Codeclass Record { private RecordHolder mHolder; ~Record() { try { ... } finally { mHolder.RecordFinalized.Set(); } } } Each record has a RecordHolder that store a ReadBuffer and potentially a WriteBuffer. When the record finalize it signal the RecordHolder that the record has been finalized. This instruction is not blocking, it raises a flag that can be used in other threads. Collapse Copy Codeclass ClusteredFile { internal virtual protected Record InternalGetRecord(UInt32 recordNo) { RecordHolder holder = null; if (!mRecordsByRecordNo.TryGetValue(recordNo, out holder)) {...} record = holder.mRecordWeakRef.Target; if (record==null) { // the object is not accessible it has finalized a while ago or is being finalized if (holder.RecordFinalized.WaitOne()) { //Now it has finalized we will create a new record holder.RecordFinalized.Reset(); holder.Record = OnCreateNewRecord(/*isnew*/false, recordNo); } } return holder.Record; } } And then when the table thread try to get the record while it is disposing we use the method : holder.RecordFinalized.WaitOne() to make sure the finalization has completed first. Most of the time this method won't be blocking your DBF thread as the record has been finalized some time ago. History 2009 June 4th : Added samples and ADO.Net comparison 2009 June 1st : First DbfDotNet (C#) release. 2000 May 21st : I wrote my first database engine, it is called tDbf and works on Delphi. License This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)
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