Two DataTable connected in C #, equivalent to SQL inner join method

Source: Internet
Author: User
Tags foreach count join
In the following example, 3 Join methods are implemented to connect two DataTable, equivalent to the SQL inner join method, and return all columns of the DataTable.
If the DataColumn in the two DataTable is duplicated, the second is set to Columnname+ "_second", and the following code is in the hope of helping.
Using System;
Using System.Data;

Namespace WindowsApplication1
{
public class Sqlops
{
Public Sqlops ()
{
}

public static DataTable Join (DataTable A, DataTable Second, datacolumn[] FJC, datacolumn[] SJC)

{

Create a new DataTable

DataTable table = new DataTable ("Join");


Use a DataSet to leverage DataRelation

Using (DataSet ds = new DataSet ())

{

Copy the DataTable into the dataset

Ds. Tables.addrange (New Datatable[]{first.copy (), Second.copy ()});

datacolumn[] Parentcolumns = new DATACOLUMN[FJC. Length];

for (int i = 0; i < Parentcolumns. Length; i++)

{

Parentcolumns[i] = ds. Tables[0]. Columns[fjc[i]. ColumnName];

}

datacolumn[] Childcolumns = new DATACOLUMN[SJC. Length];

for (int i = 0; i < Childcolumns. Length; i++)

{

Childcolumns[i] = ds. TABLES[1]. Columns[sjc[i]. ColumnName];

}


Create Association

DataRelation r = new DataRelation (string. Empty,parentcolumns,childcolumns,false);

Ds. Relations.Add (R);


Create a column for the associated table

for (int i = 0; i < First.Columns.Count; i++)

{

Table. Columns.Add (First.columns[i]. ColumnName, First.columns[i]. DataType);

}

for (int i = 0; i < Second.Columns.Count; i++)

{

See if there are any duplicate columns, if there is a column in the second DataTable added _second

if (!table. Columns.contains (Second.columns[i]. ColumnName))

Table. Columns.Add (Second.columns[i]. ColumnName, Second.columns[i]. DataType);

Else

Table. Columns.Add (Second.columns[i]. ColumnName + "_second", Second.columns[i]. DataType);

}


Table. Beginloaddata ();

foreach (DataRow firstrow in DS. Tables[0]. Rows)

{

Get the data for the row

datarow[] Childrows = firstrow. GetChildRows (R);

if (childrows!= null && childrows. Length > 0)

{

object[] Parentarray = firstrow. ItemArray;

foreach (DataRow secondrow in Childrows)

{

object[] Secondarray = Secondrow. ItemArray;

object[] Joinarray = new Object[parentarray. Length+secondarray. Length];

Array.copy (Parentarray,0,joinarray,0,parentarray. Length);

Array.copy (Secondarray,0,joinarray,parentarray. Length,secondarray. Length);

Table. Loaddatarow (joinarray,true);

}

}

}

Table. Endloaddata ();

}


return table;

}


public static DataTable Join (DataTable A, DataTable Second, DataColumn FJC, DataColumn SJC)

{

Return Join (Second, New DATACOLUMN[]{FJC}, New DATACOLUMN[]{SJC});

}

public static DataTable Join (DataTable A, DataTable Second, String FJC, String SJC)

{

Return Join (Second, New DATACOLUMN[]{FIRST.COLUMNS[FJC]}, new DATACOLUMN[]{FIRST.COLUMNS[SJC]};

}


}
}

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