CData BizTalk Adapter for HubSpot 2019 - Online Help
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SELECT Statements

CData BizTalk Adapter for HubSpot 2019 - Build 19.0.7424

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 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 | AND | OR | CONTAINS | BETWEEN } [ <expression> ]
  } [ { AND | OR } ... ] 

Examples

  1. Return all columns:
    SELECT * FROM Contacts
  2. Rename a column:
    SELECT [Country] AS MY_Country FROM Contacts
  3. Cast a column's data as a different data type:
    SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM Contacts
  4. Search data:
    SELECT * FROM Contacts WHERE VID = '123456789';
  5. Return the number of items matching the query criteria:
    SELECT COUNT(*) AS MyCount FROM Contacts 
  6. Return the number of unique items matching the query criteria:
    SELECT COUNT(DISTINCT Country) FROM Contacts 
  7. Return the unique items matching the query criteria:
    SELECT DISTINCT Country FROM Contacts 
  8. Summarize data:
    SELECT Country, MAX(AnnualRevenue) FROM Contacts GROUP BY Country
    See Aggregate Functions for details.
  9. Retrieve data from multiple tables.
    SELECT p.Name, a.FullName FROM BlogPosts p, BlogAuthors a WHERE p.AuthorUserId = a.Id
    See JOIN Queries for details.
  10. Sort a result set in ascending order:
    SELECT City, Country FROM Contacts  ORDER BY Country ASC
  11. Restrict a result set to the specified number of rows:
    SELECT City, Country FROM Contacts 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 Contacts WHERE VID = @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 HubSpot.

    SELECT * FROM Contacts WHERE VID = '123456789'
    

 
 
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