TDV Adapter for Spark SQL

Build 23.0.8839

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 SparkSQL 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 | IN | NOT IN | AND | OR | IS NULL | IS NOT NULL } [ <expression> ]
    } [ { AND | OR } ... ]

Examples

  1. Return all columns:
    SELECT * FROM Customers
  2. Rename a column:
    SELECT "CompanyName" AS MY_CompanyName FROM Customers
  3. Cast a column's data as a different data type:
    SELECT CAST(Balance AS VARCHAR) AS Str_Balance FROM Customers
  4. Search data:
    SELECT * FROM Customers WHERE Country = 'US'
  5. The SparkSQL APIs support the following operators in the WHERE clause: =, >, <, >=, <=, <>, !=, LIKE, IN, NOT IN, AND, OR, IS NULL, IS NOT NULL.
    SELECT * FROM Customers WHERE Country = 'US';
  6. Return the number of items matching the query criteria:
    SELECT COUNT(*) AS MyCount FROM Customers 
  7. Return the number of unique items matching the query criteria:
    SELECT COUNT(DISTINCT CompanyName) FROM Customers 
  8. Return the unique items matching the query criteria:
    SELECT DISTINCT CompanyName FROM Customers 
  9. Sort a result set in ascending order:
    SELECT City, CompanyName FROM Customers  ORDER BY CompanyName ASC

Aggregate Functions

For SELECT examples using aggregate functions, see Aggregate Functions.

JOIN Queries

See JOIN Queries for SELECT query examples using JOINs.

Date Literal Functions

Date Literal Functions contains SELECT examples with date literal functions.

Projection Functions

See Projection Functions for SELECT examples with projection functions.

Predicate Functions

For SELECT examples using predicate functions, see Predicate Functions.

Copyright (c) 2024 CData Software, Inc. - All rights reserved.
Build 23.0.8839