The Entity Framework is a set of technologies in ADO.NET that support the development of data-oriented software applications. Architects and developers of. Is there a way to automate the find and replace function for MS Access? I've got a lot of data I need to obscure (names and addresses), in a non-reversible way. Choose function: Access Choose example code for sorting query parameters where clause and more.

Implementing the Equivalent of a FULL OUTER JOIN in Microsoft Access — Database. Journal. com. There are many different kinds of joins, like INNER JOIN, LEFT OUTER JOIN, RIGHT OUTER JOIN, and FULL OUTER JOIN.

MS Access has many built-in functions. This reference contains the string, numeric, and date functions in MS Access. Microsoft Access Append Query examples, SQL INSERT Syntax and errors to add multiple and single records into tables. SQL Tutorial SELECT Statement -- Extended Query Capabilities This subsection details the remaining features of SELECT statements. The basics are at SELECT Statement.

The first three of these different join types are implemented in Access, but FULL OUTER JOIN is not. If you need to perform a FULL OUTER JOIN in Access, are you ? No, you are not. This article will show you how you can write some SQL code in Access to implement a simulated FULL OUTER JOIN. What is a FULL OUTER Join? A FULL OUTER join operation on two record sets returns all of the records contained in both sets even if they do not meet the join criteria. For each record returned that does not have matching records in the corresponding set, a NULL value will be returned for each column selected from the corresponding set. When you join two tables you can think of the records involved falling into three different unique record sets.

The first record set contains only those records meeting the join criteria. This is the set produced when you perform an INNER JOIN.

The second set of records is the set of records in the left table that do not meet the join criteria, or are said to not have matching records in the right table. And the last set of records is the set of records in the right table that do not have matching records in the left table. The following diagram illustrates the three different sets: Click for larger image. In the above diagram, the two tables are represented by the two circles, labeled Table A, and Table B. The three different sets are represented by the three different sections created by the intersection of the two different circles, labeled Set 1, Set 2 and Set 3. Set 1 is the set of records in Table A and B that meet the join criteria.

Set 2 is the set of records in Table A that do not match any records in Table B. And Set 3 is the set of records in Table B that do not match any records in Table A. A FULL OUTER join would return a record set that contains all the records from these three different sets 1, 2 and 3. How to Perform a Simulated FULL OUTER Join in Access. Access does not support the FULL OUTER join clause. Therefore, to simulate the FULL OUTER join functionality you need perform three different joins, and then UNION together the three different result sets. The three different result sets would be similar to the three different sets discussed in the prior section.

Where Set 1 would be created using an INNER JOIN, Set 2 would be created with a LEFT OUTER JOIN and Set 3 would be created using a RIGHT OUTER JOIN. To show you how this works lets go though an example using the sample Northwind Access database. For my example, say I want to perform a FULL OUTER JOIN between the Northwind Employees table and the Suppliers table where I am joining these two tables on the City column.

In my final result set I want to display Employees. Last. Name, Employees. City, Supplies. Company.

Name, and the Suppliers. City for all records in both these tables regardless of whether or not there a matching records. To simulate a FULL OUTER JOIN query I will first create three separate queries, one for each of the sets mentioned above. To do that, my Query Design and Join Properties view for Set 1 would look like this: Click for larger image. The SQL code behind this design view would look like this: SELECT Employees.

Last. Name, Employees. City, Suppliers. Company. Name, Suppliers. City. FROM Employees INNER JOIN Suppliers ON Employees.

City = Suppliers. City. After running this SQL code, I would only return the records for Set 1. Below is the result set for this query: Click for larger image. As you can see, only four Employees records joined to a single Suppliers record. Notice that this first set was created with an INNER JOIN clause. The second query, Set 2, needs to perform a LEFT OUTER JOIN between the Employees and Suppliers table.

However, I only want to return those records that do not have matching supplier records. Here is the Design and Join Properties view of how I constructed this query: Click for larger image. As you can see, I have now selected to . Although, since I included a criteria that says only return those records where the Suppliers. City is null, I will only return the employee records that do not have a supplier in the same city. Here is the SQL code behind this query: SELECT Employees. Last. Name, Employees.

City, Suppliers. Company. Name, Suppliers. City. FROM Employees LEFT JOIN Suppliers ON Employees. City = Suppliers. City. WHERE (((Suppliers. City) Is Null)). When I run this query, I get the following results: Click for larger image.

As you can see, the supplier columns are empty. There are only five employees that do not have suppliers in their city. The last set I need to produce is Set 3, or the set that contains all the suppliers that do not have employees in their city. Below is the Design and Join Property view of how to construct this query: Click for larger image.

Here you can see I pick the third join criteria, . Here is the SQL code behind the screen above: SELECT Employees. Last. Name, Employees.

City, Suppliers. Company. Name, Suppliers. City. FROM Employees RIGHT JOIN Suppliers ON Employees. City = Suppliers.

City. WHERE Employees. Adobe Pdf Professional 8 Keygen Generator more. City is null. When I run this query, I get the following results: Click for larger image.

Here you can see I returned 2. Suppliers that have a null value in the Employees. City Column. Now that I have all three query developed all I need to do is put everything together to produce my simulated FULL OUTER JOIN. To do that I just take my three different SELECT statements for set 1, 2, and 3 and put them together with a UNION ALL statement in between.

In Access, I do this by using the . Here is the SQL code for my final simulated FULL OUTER JOIN: SELECT Employees. Last. Name, Employees. City, Suppliers. Company. Name, Suppliers. City. FROM Employees INNER JOIN Suppliers ON Employees. City = Suppliers.

City. SELECT Employees. Last. Name, Employees. City, Suppliers. Company. Name, Suppliers. City. FROM Employees LEFT JOIN Suppliers ON Employees.

City = Suppliers. City. WHERE (((Suppliers. City) Is Null)). SELECT Employees.

Last. Name, Employees. City, Suppliers. Company. Name, Suppliers. City. FROM Employees RIGHT JOIN Suppliers ON Employees. City = Suppliers. City. WHERE Employees. City is null. When I run this query, I get the following results: Click for larger image.

Note that this query returned a total of 3. The first four rows are the records returned for the INNER JOIN I called Set 1. As you can see both the employee and supplier columns have data in them for this set. The next five rows are for Set 2, the LEFT OUTER JOIN, and therefore they do not contain any column data for the supplier table columns. And the last 2. 8 rows are for Set 3 the RIGHT OUTER JOIN, so in these records there is no employee data.

Conclusion. Just because Access does not support the FULL OUTER JOIN clause does not mean you cannot do a FULL OUTER JOIN. It only means you have to be a little more creative to accomplish a FULL OUTER join.

By thinking of the pieces it takes to build a FULL OUTER, I was able to build my own simulated FULL OUTER JOIN in Access. My method would be similar to how you could simulate the multiplication function using a series of add functions. Next time you find that Access is missing some ANSI SQL functionality try to think of the process that would be used to produce the functionality. By doing this, you may find you can build your own simulated method of accomplishing the functionality missing in Access.

Dealing with non- updateable queries in Microsoft Accessby Luke Chung, President of FMS Inc. Sample database: nonupdateable. KB)Overview. The queries in Microsoft Access are fantastic. They allow you to.

They can. be chained together (one query uses another query), and are used. MS Access forms and reports.

There are many types of queries. When you. view the datasheet of a Select query, you can edit the results and your.

This works even when the. Unfortunately, there are. Error Message: This Recordset is not updateable. When you try to edit the query, this message appears in the status. Some are. pretty obvious: The query is a Totals query (uses GROUP BY) or Crosstab query. TRANSFORM), so the records aren't individual records. The field is a calculated field, so it can't be edited.

You don't have permissions/rights to edit the table or database. The query uses VBA functions or user defined functions and the. Some reasons are less obvious but can't be avoided: The table being modified is a linked table without a primary key. For certain backend.

Microsoft SQL Server), Access/Jet requires the table to be. This makes sense since Access wants to.

SQL query for modifications but can't uniquely identify the. Less obvious are these situations: Queries with some summary fields linked to individual. Queries with multi- table joins that are not on key fields. Union queries. The most obvious and annoying situations are queries on one table with totals (Group By, Sum. Count, Average, etc.) that aggregate multiple records. However, if any. portion of your query contains a summary (GROUP BY) field, all the fields of the returned. This paper. discusses some ways around this limitation.

Example 1: Editing a Table with a Summary Field. For example, a query listing all the customers ranked by how much.

The first query provides the sales summary for each customer: qry. Customer. Sales query: Total Sales by Customer. The second query uses the first query to show the customers: qry. Top. Customers query: Customers with their Total Purchases.

Query Results Showing Sales by Customers. The query results are very nice and can be used in forms and reports. No such luck. Because there is a summary. Example 2: Updating a Field with a Summary Query. Similarly, if your Customer table has a field to store summarized.

Update Query should do the trick: qry. Update. Customer query: Attempt to update field with data from a Summary query. Operation must use an updateable query (Error 3. If you run this query, you get this error message: Query Failed: Operation must use an updateable query. This is very annoying. One way to resolve this is to use module code. Customers table and one for the.

Customer. Sales query, then manually update the Customers records. A better way. is to use temporary tables. Workaround: Use a Temporary Table. By using temporary tables, you can eliminate a lot of unnecessary code. Make Table Queries. Make- Table queries are just like Select queries except their results. You specify the. table name and it is created.

If the table exists, it is replaced. To. create a Make- Table query, open the query (qry. Customer. Sales) in design. Make- Table Query from the Query menu.

A dialog lets you. Make Table Query puts its results in table: tbl.

Temp. Customer. Sales. Once you create the temporary table, using it rather than the summary query allows the two previous examples to work: Displays Updateable Records (example 1). Updates the . Append.

If. you just have a one step process, there usually is not much difference. Make- Table queries assigns its own. This is particularly. An Append query can use a table with indexes and other field. Make Table query cannot specify. Append queries can be used to insert records into a table with. The fields may be updated later with other.

Append queries let you accumulate results from multiple queries. For these reasons, you should become familiar with Append queries. I usually use a Make- Table query to do. Convert your Make- Table query to an Append query. When designing. the query, select Append Query from the Access Query menu. In the. query grid, specify the fields in the . Notice how. the Append To field names do not need to match the field names or.

Append Query: Notice how field Expr. From Total Visual Source. Book, here. Each user must have their own database where temporary tables are.

The database can be linked to a shared database. This is the proper way to design an Access application anyway.

For more information on this type of architecture, read our paper on. Splitting Microsoft Access. Databases to Improve Performance and Simplify Maintainability. Conclusions. Make sure you spend the time to understand how to use Access queries. The use of. temporary tables is fundamental to working around the annoying. Additional Resource.

About the Author. Luke Chung is the.

FMS, Inc., a database consulting firm and the. Microsoft Access add- in products. He is the. designer and co- author of several Access add- ins including. Total Access Analyzer.

Total Visual Code. Tools. Total Access Detective. Total Access Emailer. Total Visual Source. Book, and. Total Access Statistics. He. has spoken at a variety of conferences and user groups. Copyright . All rights reserved.

This information may not be republished, reprinted or. FMS. Inc. The information provided in this document is provided.