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I've found RegEx to be useful still. In the following code I use a jagged string array with the AI's I want to be able to process and their properties, being: string[][]​ ...

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try { con.Open(); cmd.ExecuteNonQuery(); } catch (SqlException err) { throw new ApplicationException("Data error."); } finally { con.Close(); } } Finally, the DeleteEmployee() and CountEmployees() methods fill in the last two ingredients: public void DeleteEmployee(int employeeID) { SqlConnection con = new SqlConnection(connectionString); SqlCommand cmd = new SqlCommand("DeleteEmployee", con); cmd.CommandType = CommandType.StoredProcedure; cmd.Parameters.Add(new SqlParameter("@EmployeeID", SqlDbType.Int, 4)); cmd.Parameters["@EmployeeID"].Value = employeeID; try { con.Open(); cmd.ExecuteNonQuery(); } catch (SqlException err) { throw new ApplicationException("Data error."); } finally { con.Close(); } } public int CountEmployees() { SqlConnection con = new SqlConnection(connectionString); SqlCommand cmd = new SqlCommand("CountEmployees", con); cmd.CommandType = CommandType.StoredProcedure; try { con.Open(); return (int)cmd.ExecuteScalar(); } catch (SqlException err) { throw new ApplicationException("Data error."); } finally

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Packages matching GS1-128 - NuGet Gallery
26 packages returned for GS1-128. Include prerelease. Neodynamic.Windows. ... NET - Windows Forms C# Sample. 2,273 total downloads; last updated 4/21/ ...

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{ con.Close(); } }

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In any multiuser application, including web applications, there s the potential that more than one user will perform overlapping queries and updates This can lead to a potentially confusing situation where two users, who are both in possession of the current state for a row, attempt to commit divergent updates The first user s update will always succeed The success or failure of the second update is determined by your concurrency strategy There are several broad approaches to concurrency management The most important thing to understand is that you determine your concurrency strategy by the way you write your UPDATE commands (particularly the way you shape the WHERE clause) Here are the most common examples: Last-in-wins updating: This is a less restrictive form of concurrency control that always commits the update (unless the original row has been deleted) Every time an update is committed, all the values are applied.

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Apr 22, 2018 · Decode EAN-128 with ByteScout Barcode Reader SDK https://bytescout.com/​articles ...Duration: 0:58 Posted: Apr 22, 2018

Last-in-wins makes sense if data collisions are rare For example, you can safely use this approach if there is only one person responsible for updating a given group of records Usually, you implement a last-in-wins by writing a WHERE clause that matches the record to update based on its primary key The UpdateEmployee() method in the previous example uses the last-in-wins approach UPDATE Employees SET .. WHERE EmployeeID=@ID Match-all updating: To implement this strategy, you add a WHERE clause that tries to match the current values of every field in the record to your UPDATE statement That way, if even a single field has been modified, the record won t be matched and the change will not succeed One problem with this approach is that compatible changes are not allowed.

removed from a set using is already a member of the set, it s simply removed. If it wasn t a member of the set, returns without raising an exception, since discard only tries to make sure that the item is not in the set. method match one record in the database, that record is returned as an instance of the appropriate model. If no records match, an exception ( ) is raised, but if more than one record matches, a different exception ( ) is raised. Finally, if the arguments can t be used to query the database (due to incorrect types, unknown attribute names or a variety of other conditions), still another exception ( ) is raised.

For example, if two users are attempting to modify different parts of the same record, the second user s change will be rejected, even though it doesn t conflict Another, more significant, problem with the match-all updating strategy is that it leads to large, inefficient SQL statements You can implement the same strategy more effectively with timestamps (see the next point) UPDATE Employees SET .. WHERE EmployeeID=@ID AND FirstName=@FirstName AND LastName=@LastName .. Timestamp-based updating: Most database systems support a timestamp column, which the data source updates automatically every time a change is performed You do not need to modify the timestamp column manually However, you can examine it for changes and thereby determine if another user has recently applied an update.

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ilopez/GS1Parser: A GS1 Parser for C - GitHub
Jun 9, 2015 · A GS1 Parser for C#. Contribute to ... http://stackoverflow.com/questions/9721718​/ean128-or-gs1-128-decode-c-sharp/28854802#28854802.

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