Cmdlets for IBM Cloud SQL Query

Build 20.0.7654

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 cmdlet:

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 Jobs
  2. Rename a column:
    SELECT [Status] AS MY_Status FROM Jobs
  3. Cast a column's data as a different data type:
    SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM Jobs
  4. Search data:
    SELECT * FROM Jobs WHERE UserId = 'gentit@cdata.com';
  5. The IBM Cloud SQL Query APIs support the following operators in the WHERE clause: =, >, <, >=, <=, <>, !=, LIKE, NOT LIKE, IN, NOT IN, IS NULL, IS NOT NULL, ANY, ALL, EXISTS, NOT EXISTS, CONTAINS, NOT CONTAINS, BETWEEN, AND, OR.
    SELECT * FROM Jobs WHERE UserId = 'gentit@cdata.com';
  6. Return the number of items matching the query criteria:
    SELECT COUNT(*) AS MyCount FROM Jobs 
  7. Return the number of unique items matching the query criteria:
    SELECT COUNT(DISTINCT Status) FROM Jobs 
  8. Return the unique items matching the query criteria:
    SELECT DISTINCT Status FROM Jobs 
  9. Summarize data:
    SELECT Status, MAX(AnnualRevenue) FROM Jobs  GROUP BY Status
    See Aggregate Functions for details.
  10. Retrieve data from multiple tables.
    SELECT Orders.OrderDate, Customers.ContactName FROM Customers INNER JOIN Orders ON Customers.CustomerID=Orders.CustomerID
    See JOIN Queries for details.
  11. Sort a result set in ascending order:
    SELECT Id, Status FROM Jobs  ORDER BY Status ASC
  12. Restrict a result set to the specified number of rows:
    SELECT Id, Status FROM Jobs LIMIT 10 
  13. Parameterize a query to pass in inputs at execution time. This enables you to create prepared statements and mitigate SQL injection attacks.
    SELECT * FROM Jobs WHERE UserId = @param
See Explicitly Caching Data 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 IBM Cloud SQL Query.

    SELECT * FROM Jobs WHERE Pseudo = '@Pseudo'
    

Copyright (c) 2020 CData Software, Inc. - All rights reserved.
Build 20.0.7654