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 IBM Cloud SQL Query adapter:

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 | ANY | ALL | EXISTS | NOT EXISTS | CONTAINS | NOT CONTAINS | BETWEEN | AND | OR } [ <expression> ]
    } [ { AND | OR } ... ]

Examples

1. Return all columns:
   

   SELECT * FROM [CloudObjectStorage_1].[SampleBucket_1].Jobs

2. Rename a column:
   

   SELECT "Status" AS MY_Status FROM [CloudObjectStorage_1].[SampleBucket_1].Jobs

3. Cast a column's data as a different data type:
   

   SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM [CloudObjectStorage_1].[SampleBucket_1].Jobs

4. Search data:
   

   SELECT * FROM [CloudObjectStorage_1].[SampleBucket_1].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 [CloudObjectStorage_1].[SampleBucket_1].Jobs WHERE UserId = 'gentit@cdata.com';

6. Return the number of items matching the query criteria:
   

   SELECT COUNT(*) AS MyCount FROM [CloudObjectStorage_1].[SampleBucket_1].Jobs 

7. Return the number of unique items matching the query criteria:
   

   SELECT COUNT(DISTINCT Status) FROM [CloudObjectStorage_1].[SampleBucket_1].Jobs 

8. Return the unique items matching the query criteria:
   

   SELECT DISTINCT Status FROM [CloudObjectStorage_1].[SampleBucket_1].Jobs 

9. Sort a result set in ascending order:
   

   SELECT Id, Status FROM [CloudObjectStorage_1].[SampleBucket_1].Jobs  ORDER BY Status ASC

Aggregate Functions

For SELECT examples using aggregate functions, see Aggregate Functions.

JOIN Queries

See JOIN Queries for SELECT query examples using JOINs.

Window Functions

See Window Functions for SELECT examples containing window functions.

Table-Valued Functions

See Table-Valued Functions for SELECT examples with table-valued functions.