Power BI Connector for Quandl

Build 20.0.7587

SELECT Statements

A SELECT statement can consist of the following basic clauses. This statement can be accessed using the Odbc.Query function in the M formula language.

  • 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 connector:

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> 
    ]
  ] 
}

<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 AAPL
  2. Rename a column:
    SELECT [Date] AS MY_Date FROM AAPL
  3. Cast a column's data as a different data type:
    SELECT CAST(Volume AS VARCHAR) AS Str_Volume FROM AAPL
  4. Search data:
    SELECT * FROM AAPL WHERE collapse = 'daily';
  5. Return the number of items matching the query criteria:
    SELECT COUNT(*) AS MyCount FROM AAPL 
  6. Return the number of unique items matching the query criteria:
    SELECT COUNT(DISTINCT Date) FROM AAPL 
  7. Return the unique items matching the query criteria:
    SELECT DISTINCT Date FROM AAPL 
  8. Summarize data:
    SELECT Date, MAX(Volume) FROM AAPL GROUP BY Date
    See Aggregate Functions for details.
  9. Retrieve data from multiple tables.
    SELECT a.Close ac, g.Close gc FROM AAPL a, GOOGL g WHERE a.Date = '6/27/2016 12:00:00 AM' AND g.Date = '6/27/2016 12:00:00 AM'
    See JOIN Queries for details.
  10. Sort a result set in ascending order:
    SELECT High, Date FROM AAPL  ORDER BY Date ASC
  11. Restrict a result set to the specified number of rows:
    SELECT High, Date FROM AAPL 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 AAPL WHERE collapse = @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 Quandl.

    SELECT * FROM AAPL WHERE Pseudo = '@Pseudo'
    

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Build 20.0.7587