Update Data (original) (raw)

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FreeSql provides a variety of database update functions. It supports single or batch updates, and can also return updated records when executed in a specific database.

static IFreeSql fsql = new FreeSql.FreeSqlBuilder() .UseConnectionString(FreeSql.DataType.MySql, connectionString) .UseAutoSyncStructure(true) //Automatically synchronize the entity structure to the database. .Build(); //Be sure to define as singleton mode

class Topic { [Column(IsIdentity = true, IsPrimary = true)] public int Id { get; set; } public int Clicks { get; set; } public string Title { get; set; } public DateTime CreateTime { get; set; } }

Dynamic Conditions

fsql.Update(object dywhere)

dywhere supports:

• Primary key
• new[] { PrimaryKey1, PrimaryKey2 }
• Topic Object
• new[] { TopicObject1, TopicObject2 }
• new { id = 1 }

Dynamic tablename

fsql.Update(1).AsTable("Topic_201903").ExecuteAffrows();

1. Update the specified column

fsql.Update(1) .Set(a => a.CreateTime, DateTime.Now) .ExecuteAffrows(); //UPDATE Topic SET CreateTime = '2018-12-08 00:04:59' //WHERE (Id = 1)

Support multiple calls to Set(), which is equivalent to splicing Sql statements.

fsql.Update(1) .Set(a => a.Clicks + 1) .Set(a => a.Time == DateTime.Now) .ExecuteAffrows(); //UPDATE Topic SET Clicks = ifnull(Clicks,0) + 1, Time = now() //WHERE (Id = 1)

fsql.Update(1) .Set(a => new Topic { Clicks = a.Clicks + 1, Time = DateTime.Now }) .ExecuteAffrows(); //UPDATE Topic SET Clicks = ifnull(Clicks,0) + 1, Time = now() //WHERE (Id = 1)

2. Update Conditions

In addition to the dywhere parameter described above, it also supports the Where lambda/sql method

For safety reasons, when there are no conditions, the update action will not be executed to avoid updating the entire table data by mistake. Update the entire table data: fsql.Update<T>().Where("1=1").Set(a => a.Xxx == xxx).ExecuteAffrows()

fsql.Update() .Set(a => a.Title, "New Title") .Set(a => a.Time, DateTime.Now) .Where(a => a.Id == 1) .ExecuteAffrows(); //UPDATE Topic SET Title = @p_0, Time = @p_1 //WHERE (Id = 1)

3. Update the Entity

Method 1: (recommended)

Only update the changed properties (depend on FreeSql.Repository package)

var repo = fsql.GetRepository(); var item = repo.Where(a => a.Id == 1).First(); //Snapshot item at this time item.Title = "newtitle"; repo.Update(item); //Compare the changes before and after the snapshot. //UPDATE Topic SET Title = @p_0 //WHERE (Id = 1)

Do you think it’s verbose to query first and then update?

var repo = fsql.GetRepository(); var item = new Topic { Id = 1 }; repo.Attach(item); //Snapshot item at this time item.Title = "newtitle"; repo.Update(item); //Compare the changes before and after the snapshot. //UPDATE Topic SET Title = @p_0 //WHERE (Id = 1)

Method 2: (Original)

//v1.5.0 Ignore properties that update null values fsql.Update() .SetSourceIgnore(item, col => col == null) .ExecuteAffrows();

var item = new Topic { Id = 1, Title = "newtitle" }; fsql.Update() .SetSource(item) .ExecuteAffrows(); //UPDATE Topic SET Clicks = @p_0, Title = @p_1, CreateTime = @p_2 //WHERE (Id = 1)

fsql.Update() .SetSource(item) .UpdateColumns(a => new { a.Title, a.CreateTime }) .ExecuteAffrows(); //UPDATE Topic SET Title = @p_0, CreateTime = @p_1 //WHERE (Id = 1)

fsql.Update() .SetSource(item) .IgnoreColumns(a => new { a.Clicks, a.CreateTime }) .ExecuteAffrows(); //UPDATE Topic SET Title = @p_0 //WHERE (Id = 1)

var items = new List(); for (var a = 0; a < 10; a++) items.Add(new Topic { Id = a + 1, Title = $"newtitle{a}", Clicks = a * 100 });

fsql.Update() .SetSource(items) .ExecuteAffrows(); //UPDATE Topic SET Clicks = CASE Id WHEN 1 THEN @p_0 WHEN 2 THEN @p_1 WHEN 3 THEN @p_2 WHEN 4 THEN @p_3 WHEN 5 THEN @p_4 WHEN 6 THEN @p_5 WHEN 7 THEN @p_6 WHEN 8 THEN @p_7 WHEN 9 THEN @p_8 WHEN 10 THEN @p_9 END, //Title = CASE Id WHEN 1 THEN @p_10 WHEN 2 THEN @p_11 WHEN 3 THEN @p_12 WHEN 4 THEN @p_13 WHEN 5 THEN @p_14 WHEN 6 THEN @p_15 WHEN 7 THEN @p_16 WHEN 8 THEN @p_17 WHEN 9 THEN @p_18 WHEN 10 THEN @p_19 END, //CreateTime = CASE Id WHEN 1 THEN @p_20 WHEN 2 THEN @p_21 WHEN 3 THEN @p_22 WHEN 4 THEN @p_23 WHEN 5 THEN @p_24 WHEN 6 THEN @p_25 WHEN 7 THEN @p_26 WHEN 8 THEN @p_27 WHEN 9 THEN @p_28 WHEN 10 THEN @p_29 END //WHERE (Id IN (1,2,3,4,5,6,7,8,9,10))

fsql.Update() .SetSource(items) .IgnoreColumns(a => new { a.Clicks, a.CreateTime }) .ExecuteAffrows(); //UPDATE Topic SET Title = CASE Id WHEN 1 THEN @p_0 WHEN 2 THEN @p_1 WHEN 3 THEN @p_2 WHEN 4 THEN @p_3 WHEN 5 THEN @p_4 WHEN 6 THEN @p_5 WHEN 7 THEN @p_6 WHEN 8 THEN @p_7 WHEN 9 THEN @p_8 WHEN 10 THEN @p_9 END //WHERE (Id IN (1,2,3,4,5,6,7,8,9,10))

fsql.Update() .SetSource(items) .Set(a => a.CreateTime, DateTime.Now) .ExecuteAffrows(); //UPDATE Topic SET CreateTime = @p_0 //WHERE (Id IN (1,2,3,4,5,6,7,8,9,10))

After the specified Set column is updated, SetSource will become invalid

SetSource defaults to relying on the IsPrimary attribute of the entity, and temporary primary keys can use SetSource (items, a=>a. Code)

Oracle CASE when N '' character set mismatch,

• Reason: Inconsistency between entity primary key Column DbType and table type,
• Solution: [Column (DbType = "varchar2", StingLength = 255)]

4. Custom SQL

fsql.Update() .SetRaw("Title = @title", new { title = "New Title" }) .Where("Id = @id", 1) .ExecuteAffrows(); //UPDATE Topic SET Title = @title WHERE (Id = @id)

5. Update According to the DTO

fsql.Update() .SetDto(new { title = "xxx", clicks = 2 }) .Where(a => a.Id == 1) .ExecuteAffrows(); //UPDATE Topic SET Title = @p_0, Clicks = @p_1 WHERE (Id = 1)

fsql.Update() .SetDto(new Dictionary<string, object> { ["title"] = "xxx", ["clicks"] = 2 }) .Where(a => a.Id == 1) .ExecuteAffrows();

6. The difference between Set, SetSource and SetDto

The three of them are functions of the same level, corresponding to:

• Set/SetRaw is used when the entity is known, corresponding to update t set x = x
• SetSource updates the entire entity, you can use UpdateColumns and/or IgnoreColumns to specify or ignore fields
• SetDto is a batch operation of Set

7、Dictionary Update

var dic = new Dictionary<string, object>(); dic.Add("id", 1); dic.Add("name", "xxxx");

fsql.UpdateDict(dic).AsTable("table1").WherePrimary("id").ExecuteAffrows();

8. Optimistic Lock

When updating the entire entity data, it is very easy to cause the old data to update the new record in the case of concurrency.

The principle of optimistic locking: use a certain field of the entity, such as long version. Query the data before updating, and then version is 1. The SQL generated during the update will append where version = 1, and an exception (DbUpdateVersionException) will be thrown when the modification fails (ie, Affrows == 0).

Each entity only supports one optimistic lock attribute, mark the attribute before the property: [Column(IsVersion = true)].

Applicable to SetSource update, the value of version will increase by 1 each time it is updated.

9. Pessimistic Lock

var user = fsql.Select() .ForUpdate(true) .Where(a => a.Id == 1) .ToOne(); //SELECT ... FROM User a for update nowait

ForUpdate is a common way of writing in Oracle/PostgreSQL/MySql. We have made a special adaptation to SqlServer. The SQL statements executed are roughly as follows:

SELECT ... FROM [User] a With(UpdLock, RowLock, NoWait)

10. Advanced Update: ISelect.ToUpdate

IUpdate does not support navigation objects, multi-table association, etc. by default. ISelect.ToUpdate can convert the query to IUpdate to update the data using the navigation object, as follows:

fsql.Select().Where(a => a.Options.xxx == 1) .ToUpdate() .Set(a => a.Title, "111") .ExecuteAffrows();

Note: This method is not to query the data to the memory and then update, the above code produces the following SQL execution:

UPDATE T1 SET Title = '111' WHERE id in (select a.id from T1 a left join Options b on b.t1id = a.id where b.xxx = 1)

The benefits of using this program for dang complex update:

• Data can be previewed before updating to prevent wrong update operations;
• Support complex update operations, for example: Use Limit(10) on ISelect to update the first 10 records that meet the conditions;

11、UpdateJoin

v3.2.692+ (High risk operation, high risk operation, high risk operation, please use with caution, test and check the content returned by ToSql)

fsql.Update() .Join((a, b) => a.id == b.groupid) .Set((a, b) => a.bname == b.name) .Set((a, b) => a.bcode == b.id + a.code) .Set(a => a.flag, 1) //Fixed value .Where((a, b) => a.id > 0 && b.id > 0) .ExecuteAffrows();

The SQL generated by different databases is different. Take MySql as an example:

UPDATE T1 a INNER JOIN T2 b ON (a.id = b.groupid) SET a.bname = b.name, a.bcode = concat(b.id, a.code), a.flag = 1 WHERE a.id > 0 AND b.id > 0

More complex joint table update:

var query = fsql.Select<T2, T3>() .InnerJoin(...) .Where(...) .WithTempQuery((a, b) => new { item1 = a, item2 = b });

fsql.Update() .Join(query, (a, b) => a.id == b.item1.groupid) .Set((a, b) => a.bcode == b.item2.xcode) .ExecuteAffrows();

UPDATE T1 a INNER JOIN ( SELECT ... FROM t2 a INNER JOIN ... Where ... ) b ON (a.id = b.groupid) SET a.bcode = b.xcode

12、BulkCopy Batch Update

Principle: Use BulkCopy to insert data into the temporary table, and then use UPDATE FROM JOIN to update the associated table.

Tip: When the number of updated fields exceeds 3000, the benefits are large.

fsql.Update().SetSource(list).ExecuteSqlBulkCopy();

Reference

• 《Database Transaction》
• 《FreeSql 101, Part 1: Insert Data》
• 《FreeSql 101, Part 2: Delete Data》
• 《FreeSql 101, Part 4: Query Data》
• 《Repository Layer》
• 《Filters and Global Filters》
• 《UnitOfWork》

API