Introduction to Access SQL - Access. When you want to retrieve data from a database, you ask for the data by using Structured Query Language, or SQL. SQL is a computer language that closely resembles English that database programs understand. Knowing SQL is important because every query in Microsoft Access uses SQL.
Understanding how SQL works can help create better queries, and can make it easier for you to fix a query when it is not returning the results that you want. Note: You cannot edit SQL for a web query. In this article. What is SQL? Basic SQL clauses: SELECT, FROM, and WHERESorting the results: ORDER BYWorking with summarized data: GROUP BY and HAVINGCombining query results: UNIONMore about the SELECT clause. More about the FROM clause. More about the WHERE clause.
Structured Query Language (SQL) is a language for querying databases. Questions should include code examples, table structure, sample data, and a tag for the DBMS. RunSQL is a method of the DoCmd object in Microsoft Access. It is designed for DML SQL, such as UPDATE, INSERT and DELETE statements. You cannot.

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What is SQL? SQL is a computer language for working with sets of facts and the relationships between them. Relational database programs, such as Access, use SQL to work with data. Like many computer languages, SQL is an international standard that is recognized by standards bodies such as ISO and ANSI. You use SQL to describe sets of data that can help you answer questions. When you use SQL, you must use the correct syntax. Syntax is the set of rules by which the elements of a language are correctly combined.
SQL syntax is based on English syntax, and uses many of the same elements as Visual Basic for Applications (VBA) syntax. For example, a simple SQL statement that retrieves a list of last names for contacts whose first name is Mary might resemble this: SELECT Last.
The part of SQL that is used for creating and altering database objects is called data- definition language (DDL). This topic does not cover DDL. For more information, see the article Create or modify tables or indexes by using a data- definition query.
SELECT statements. To describe a set of data by using SQL, you write a SELECT statement. A SELECT statement contains a complete description of a set of data that you want to obtain from a database. This includes the following: What tables contain the data. How data from different sources is related. Which fields or calculations will produce the data. Criteria that data must match to be.
SQL Commands - Learn about SELECT, DELETE, UPDATE, and WHERE commands.
Whether and how to sort the results. SQL clauses. Like a sentence, a SQL statement has clauses. Each clause performs a function for the SQL statement. Some clauses are required in a SELECT statement. The following table lists the most common SQL clauses.
SQL clause. What it does. Required. SELECTLists the fields that contain data of interest. Yes. FROMLists the tables that contain the fields listed in the SELECT clause.
Yes. WHERESpecifies field criteria that must be met by each record to be included in the results. No. ORDER BYSpecifies how to sort the results. No. GROUP BYIn a SQL statement that contains aggregate functions, lists fields that are not summarized in the SELECT clause. Only if there are such fields. HAVINGIn a SQL statement that contains aggregate functions, specifies conditions that apply to fields that are summarized in the SELECT statement.
No. SQL terms. Each SQL clause is composed of terms — comparable to parts of speech. The following table lists types of SQL terms. SQL term Comparable part of speech. Definition. Exampleidentifiernoun. A name that you use to identify a database object, such as the name of a field. Customers. However, consider using a line for each clause to help improve the readability of your SQL statements for yourself and others.
Every SELECT statement ends with a semi- colon (; ). The semi- colon can appear at the end of the last clause or on a line by itself at the end of the SQL statement. An example in Access. The following illustrates what a SQL statement for a simple select query might look like in Access: 1.
SELECT clause. 2. FROM clause. 3. WHERE clause. This example SQL statement reads . It consists of an operator (SELECT) followed by two identifiers (. It consists of an operator (FROM) followed by an identifier (Contacts). A FROM clause does not list the fields to be selected.
The WHERE clause. WHERE City=. It consists of an operator (WHERE) followed by an expression (City=. More information about how. More about the SELECT clause. More about the FROM clause. More about the WHERE clause. Sorting the results: ORDER BYLike Microsoft Office Excel, Access lets you sort query results in a datasheet.
You can also specify in the query how you want to sort the results when the query is run, by using an ORDER BY clause. If you use an ORDER BY clause, it is the last clause in the SQL statement. An ORDER BY clause contains a list of the fields that you want to use for sorting, in the same order that you want to apply the sort operations. For example, suppose that you want your results sorted first by the value of the field Company in descending order, and — if there are records with the same value for Company — sorted next by the values in the field E- mail Address in ascending order. Cheat Codes Nfs Most Wanted Black Edition Ps2 Iso here. Your ORDER BY clause would resemble the following: ORDER BY Company DESC, .
Use the DESC keyword to sort values in descending order instead. For more information about the ORDER BY clause, see the topic ORDER BY Clause. Top of Page. Working with summarized data: GROUP BY and HAVINGSometimes you want to work with summarized data, such as the total sales in a month, or the most expensive items in an inventory.
To do this, you apply an aggregate function to a field in your SELECT clause. For example, if you want your query to show the count of e- mail addresses listed for each company, your SELECT clause might resemble the following: SELECT COUNT(.
For more information about the available aggregate functions, see the article SQL Aggregate Functions. Specifying fields that are not used in an aggregate function: The GROUP BY clause. When you use aggregate functions, you usually must also create a GROUP BY clause. A GROUP BY clause lists all the fields to which you do not apply an aggregate function. If you apply aggregate functions to all the fields in a query, you do not have to create the GROUP BY clause. A GROUP BY clause immediately follows the WHERE clause, or the FROM clause if there is no WHERE clause.
A GROUP BY clause lists the fields as they appear in the SELECT clause. For example, continuing the previous example, if your SELECT clause applies an aggregate function to . Instead, you use a HAVING clause.
A HAVING clause works like a WHERE clause, but is used for aggregated data. For example, suppose that you use the AVG function (which calculates an average value) with the first field in your SELECT clause: SELECT COUNT(. Instead, you put the criteria in a HAVING clause. For example, if you only want the query to return rows if there are more than one e- mail addresses associated with the company, the HAVING clause might resemble the following: HAVING COUNT(.
The SELECT statements that you combine must have the same number of output fields, in the same order, and with the same or compatible data types. When you run the query, data from each set of corresponding fields is combined into one output field, so that the query output has the same number of fields as each of the select statements. Note: For the purposes of a union query, the Number and Text data types are compatible.
When you use the UNION operator, you can also specify whether the query results should include duplicate rows, if any exist, by using the ALL key word. The basic SQL syntax for a union query that combines two SELECT statements is as follows: SELECT field. Both tables have fields that contain the name of the product or service, the price, warranty or guarantee availability, and whether you offer the product or service exclusively.
Although the Products table stores warranty information, and the Services table stores guarantee information, the basic information is the same (whether a particular product or service includes a promise of quality). You can use a union query, such as the following, to combine the four fields from the two tables: SELECT name, price, warranty.