![]() ![]() For more information, see create a simple select query. If you want to review data from only certain fields in a table, or review data from multiple tables simultaneously or maybe just see the data based on certain criteria, a select query type would be your choice. Action queries are not available in Access web apps. Each task has a specific type of action query. To retrieve data from a table or make calculations.Īdd, change, or delete data. Since queries are so versatile, there are many types of queries and you would create a type of query based on the task. A query can give you an answer to a simple question, perform calculations, combine data from different tables, add, change, or delete data from a database. A query can either be a request for data results from your database or for action on the data, or for both. A query can pull the information from various tables and assemble it for display in the form or report. In a well-designed database, the data that you want to present through a form or report is usually located in multiple tables. Queries help you find and work with your data SELECT column_name(s)FROM table_1LEFT JOIN table_2 ON table_1.column_name = table_2.Note: If you want to try out the queries in the examples, use an Access desktop database. It is a clause used to sort the result set by a particular column either numerically or alphabetically SELECT column_nameFROM table_nameORDER BY column_name ASC | DESC It is an operator that is used to filter the result set to contain only the rows where either condition is TRUE SELECT column_nameFROM table_nameWHERE column_name = value_1 OR column_name = value_2 It is a function that takes a number of columns as an argument and returns the smallest value among them It is a function that takes a number of columns as an argument and returns the largest value among them It is a clause to specify the maximum number of rows the result set must have SELECT column_name(s)FROM table_nameLIMIT number It is a special operator used with the WHERE clause to search for a specific pattern in a column SELECT column_name(s)FROM table_nameWHERE column_name LIKE pattern It is an operator used with the WHERE clause to check for the empty values SELECT column_name(s)FROM table_nameWHERE column_name IS NULL INSERT INTO table_name (column_1, column_2, column_3) VALUES (value_1, ‘value_2’, value_3) It is used to combine rows from different tables if the Join condition goes TRUE SELECT column_name(s)FROM table_1JOIN table_2 ON table_1.column_name = table_2.column_name It is used in SQL because the WHERE keyword cannot be used in aggregating functions ![]() SELECT column_name, COUNT(*)FROM table_nameGROUP BY column_nameHAVING COUNT(*) > value It is a clause in SQL used for aggregate functions in collaboration with the SELECT statement SELECT column_name, COUNT(*)FROM table_nameGROUP BY column_name It is used to remove the rows from a table It is used to create a new table in a database and specify the name of the table and columns inside itĭELETE FROM table_nameWHERE some_column = some_value It is a function that takes the name of a column as an argument and counts the number of rows when the column is not NULLĬREATE TABLE table_name ( column_1 datatype, column_2 datatype, column_3 datatype) SELECT COUNT(column_name)FROM table_name It is a statement used to create different outputs inside a SELECT statement SELECT column_name,CASEWHEN condition THEN ‘Result_1’WHEN condition THEN ‘Result_2’ELSE ‘Result_3’ENDFROM table_name It is an operation used to filter the result within a certain range SELECT column_name(s)FROM table_nameWHERE column_name BETWEEN value_1 AND value_2 ![]() It is used to aggregate a numeric column and return its average ![]() It is a keyword in SQL that is used to rename a column or table using an alias name SELECT column_name AS ‘Alias’FROM table_name It is an operator that is used to combine two conditions SELECT column_name(s)FROM table_nameWHERE column_1 = value_1 AND column_2 = value_2 It is used to add columns to a table in a database ALTER TABLE table_name ADD column_name datatype ![]()
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