DataMatch Enterprise Documents: DataMatch Enterprise Server: SQL Select Statement for Excel

SQL Select statement for Excel on DataMatch Enterprise Server

SELECT Statements

A SELECT statement can consist of the following basic clauses.

  • SELECT
  • INTO
  • FROM
  • JOIN
  • WHERE
  • GROUP BY
  • HAVING
  • UNION
  • ORDER BY
  • LIMIT

SELECT Syntax

The following syntax diagram outlines the syntax supported by the SQL engine of the provider:

SELECT {
  TOP <numeric_literal> | DISTINCT ]
  {
    *
    | {
        <expression> [ [ AS ] <column_reference> ]
        | { <table_name> | <correlation_name> } .*
      } [ , ... ]
  }
  INTO csv:// [ filename= ] <file_path> [ ;delimiter=tab ] ]
  {
    FROM <table_reference> [ [ AS ] <identifier> ]
  } [ , ... ]
  [ [ 
      INNER | { { LEFT RIGHT FULL } [ OUTER ] }
    JOIN <table_reference> [ ON <search_condition> ] [ [ AS ] <identifier> ]
  ] [ ... ]
  WHERE <search_condition> ]
  GROUP BY <column_reference> [ , ... ]
  HAVING <search_condition> ]
  UNION ALL ] <select_statement> ]
  [
    ORDER BY
    <column_reference> [ ASC DESC ] [ NULLS FIRST | NULLS LAST ]
  ]
  [
    LIMIT <expression>
    [
      { OFFSET | , }
      <expression>
    ]
  ]
} | SCOPE_IDENTITY()
<expression> ::=
  | <column_reference>
  | @ <parameter>
  | ?
  COUNT( * | { [ DISTINCT ] <expression> } )
  | { AVG MAX MIN SUM COUNT } ( <expression> )
  NULLIF ( <expression> , <expression> )
  COALESCE ( <expression> , ... )
  CASE <expression>
      WHEN { <expression> | <search_condition> } THEN { <expression> | NULL } [ ... ]
    ELSE { <expression> | NULL } ]
    END
  | <literal>
  | <sql_function>
<search_condition> ::=
  {
    <expression> { = | > | < | >= | <= | <> | != | LIKE | NOT_LIKE | IN | NOT_IN | IS_NULL | IS_NOT_NULL | AND OR CONTAINS BETWEEN } [ <expression> ]
  } [ { AND OR } ... ]

Examples

  1. Return all columns: 
    SELECT * FROM Sheet
  2. Rename a column: 
    SELECT [LastName] AS MY_LastName FROM Sheet
  3. Cast a column’s data as a different data type: 
    SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM Sheet
  4. Search data: 
    SELECT * FROM Sheet WHERE FirstName <> 'Bob';
  5. Return the number of items matching the query criteria: 
    SELECT COUNT(*) AS MyCount FROM Sheet
  6. Return the number of unique items matching the query criteria: 
    SELECT COUNT(DISTINCT LastName) FROM Sheet
  7. Return the unique items matching the query criteria: 
    SELECT DISTINCT LastName FROM Sheet
  8. Summarize data: 
    SELECT LastName, MAX(AnnualRevenue) FROM Sheet GROUP BY LastName

    See Aggregate Functions for details.

  9. Retrieve data from multiple tables. 
    SELECT Customers.ContactName, Orders.OrderDate FROM Customers, Orders WHERE Customers.CustomerId=Orders.CustomerId

    See JOIN Queries for details.

  10. Sort a result set in ascending order: 
    SELECT RowId, LastName FROM Sheet  ORDER BY LastName ASC
  11. Restrict a result set to the specified number of rows: 
    SELECT RowId, LastName FROM Sheet LIMIT 10
  12. Parameterize a query to pass in inputs at execution time. This enables you to create prepared statements and mitigate SQL injection attacks. 
    SELECT * FROM Sheet WHERE FirstName = @param

See the Using Cached Data section for information on using the SELECT statement in offline mode.

Pseudo Columns

Some input-only fields are available in SELECT statements. These fields, called pseudo columns, do not appear as regular columns in the results, yet may be specified as part of the WHERE clause. You can use pseudo columns to access additional features from Excel.

SELECT * FROM Sheet WHERE ColName = 'Value'

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