# Twitter
### 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 provider:
\| SELECT {
\[ TOP \ | DISTINCT ]
{
*
| {
\ \[ \[ AS ] \ ]
| { \ | \ } .*
} \[ , ... ]
}
\[ INTO csv:// \[ filename= ] \ \[ ;delimiter=tab ] ]
{
FROM \ \[ \[ AS ] \ ]
} \[ , ... ]
\[ \[
INNER | { { LEFT | RIGHT | FULL } \[ OUTER ] }
] JOIN \ \[ ON \ ] \[ \[ AS ] \ ]
] \[ ... ]
\[ WHERE \ ]
\[ GROUP BY \ \[ , ... ]
\[ HAVING \ ]
\[ UNION \[ ALL ] \ ]
\[
ORDER BY
\ \[ ASC | DESC ] \[ NULLS FIRST | NULLS LAST ]
]
\[
LIMIT \
\[
{ OFFSET | , }
\
]
]
} | SCOPE\_IDENTITY()
\ ::=
| \
| @ \
| ?
| COUNT( \* | { \[ DISTINCT ] \ } )
| { AVG | MAX | MIN | SUM | COUNT } ( \ )
| NULLIF ( \ , \ )
| COALESCE ( \ , ... )
| CASE \
WHEN { \ | \ } THEN { \ | NULL } \[ ... ]
\[ ELSE { \ | NULL } ]
END
| \
| \
\ ::=
{
\ { = | > | < | >= | <= | <> | != | LIKE | NOT LIKE | IN | NOT IN | IS NULL | IS NOT NULL | AND | OR | CONTAINS | BETWEEN } \[ \ ]
} \[ { AND | OR } ... ]
|
\| -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
#### Examples
1. Return all columns:
| `SELECT * FROM Tweets` |
| ---------------------- |
2. Rename a column:
| `SELECT [Text] AS MY_Text FROM Tweets` |
| -------------------------------------- |
3. Cast a column's data as a different data type:
| `SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM Tweets` |
| ------------------------------------------------------------------------ |
4. Search data:
| `SELECT * FROM Tweets WHERE From_User_Name = 'twitter'` |
| ------------------------------------------------------- |
5. Return the number of items matching the query criteria:
| `SELECT COUNT(*) AS MyCount FROM Tweets` |
| ---------------------------------------- |
6. Return the number of unique items matching the query criteria:
| `SELECT COUNT(DISTINCT Text) FROM Tweets` |
| ----------------------------------------- |
7. Return the unique items matching the query criteria:
| `SELECT DISTINCT Text FROM Tweets` |
| ---------------------------------- |
8. Summarize data:
| `SELECT Text, MAX(AnnualRevenue) FROM Tweets GROUP BY Text` |
| ----------------------------------------------------------- |
See Aggregate Functions below for details.
9. Retrieve data from multiple tables.
| `SELECT u.Name, u.Friends_Count, u.Followers_Count, m.Favorite_Count, m.Retweet_Count, m.Text FROM Users u INNER JOIN Mentions m ON u.Id = m.User_ID` |
| ----------------------------------------------------------------------------------------------------------------------------------------------------- |
See JOIN Queries below for details.
10. Sort a result set in ascending order:
| `SELECT From_User_Name, Text FROM Tweets ORDER BY Text ASC` |
| ------------------------------------------------------------ |
11. Restrict a result set to the specified number of rows:
| `SELECT From_User_Name, Text FROM Tweets 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 Tweets WHERE From_User_Name = @param` |
| ---------------------------------------------------- |
### Aggregate Functions
#### COUNT
Returns the number of rows matching the query criteria.
| `SELECT COUNT(*) FROM Tweets WHERE From_User_Name = 'twitter'` |
| -------------------------------------------------------------- |
#### COUNT(DISTINCT)
Returns the number of distinct, non-null field values matching the query criteria.
| `SELECT COUNT(DISTINCT From_User_Name) AS DistinctValues FROM Tweets WHERE From_User_Name = 'twitter'` |
| ------------------------------------------------------------------------------------------------------ |
#### AVG
Returns the average of the column values.
| `SELECT Text, AVG(AnnualRevenue) FROM Tweets WHERE From_User_Name = 'twitter'` `GROUP BY Text` |
| ----------------------------------------------------------------------------------------------- |
#### MIN
Returns the minimum column value.
| `SELECT MIN(AnnualRevenue), Text FROM Tweets WHERE From_User_Name = 'twitter'` `GROUP BY Text` |
| ---------------------------------------------------------------------------------------------- |
#### MAX
Returns the maximum column value.
| `SELECT Text, MAX(AnnualRevenue) FROM Tweets WHERE From_User_Name = 'twitter'` `GROUP BY Text` |
| ---------------------------------------------------------------------------------------------- |
#### SUM
Returns the total sum of the column values.
| `SELECT SUM(AnnualRevenue) FROM Tweets WHERE From_User_Name = 'twitter'` |
| ------------------------------------------------------------------------ |
### JOIN Queries
The Provider for Twitter supports standard SQL joins like the following examples.
#### Inner Join
An inner join selects only rows from both tables that match the join condition:
| `SELECT u.Name, u.Friends_Count, u.Followers_Count, m.Favorite_Count, m.Retweet_Count, m.Text FROM Users u INNER JOIN Mentions m ON u.Id = m.User_ID` |
| ----------------------------------------------------------------------------------------------------------------------------------------------------- |
#### Left Join
A left join selects all rows in the FROM table and only matching rows in the JOIN table:
| `SELECT u.Name, u.Friends_Count, u.Followers_Count, m.Favorite_Count, m.Retweet_Count, m.Text FROM Users u LEFT JOIN Mentions m ON u.Id = m.User_ID` |
| ---------------------------------------------------------------------------------------------------------------------------------------------------- |
### Date Literal Functions
The following date literal functions can be used to filter date fields using relative intervals. Note that while the <, >, and = operators are supported for these functions, <= and >= are not.
#### L\_TODAY()
The current day.
| `SELECT * FROM MyTable WHERE MyDateField = L_TODAY()` |
| ----------------------------------------------------- |
#### L\_YESTERDAY()
The previous day.
| `SELECT * FROM MyTable WHERE MyDateField = L_YESTERDAY()` |
| --------------------------------------------------------- |
#### L\_TOMORROW()
The following day.
| `SELECT * FROM MyTable WHERE MyDateField = L_TOMORROW()` |
| -------------------------------------------------------- |
#### L\_LAST\_WEEK()
Every day in the preceding week.
| `SELECT * FROM MyTable WHERE MyDateField = L_LAST_WEEK()` |
| --------------------------------------------------------- |
#### L\_THIS\_WEEK()
Every day in the current week.
| `SELECT * FROM MyTable WHERE MyDateField = L_THIS_WEEK()` |
| --------------------------------------------------------- |
#### L\_NEXT\_WEEK()
Every day in the following week.
| `SELECT * FROM MyTable WHERE MyDateField = L_NEXT_WEEK()` |
| --------------------------------------------------------- |
Also available:
* L\_LAST/L\_THIS/L\_NEXT MONTH
* L\_LAST/L\_THIS/L\_NEXT QUARTER
* L\_LAST/L\_THIS/L\_NEXT YEAR
#### L\_LAST\_N\_DAYS(n)
The previous n days, excluding the current day.
| `SELECT * FROM MyTable WHERE MyDateField = L_LAST_N_DAYS(3)` |
| ------------------------------------------------------------ |
#### L\_NEXT\_N\_DAYS(n)
The following n days, including the current day.
| `SELECT * FROM MyTable WHERE MyDateField = L_NEXT_N_DAYS(3)` |
| ------------------------------------------------------------ |
Also available:
* L\_LAST/L\_NEXT\_90\_DAYS
#### L\_LAST\_N\_WEEKS(n)
Every day in every week, starting n weeks before current week, and ending in the previous week.
| `SELECT * FROM MyTable WHERE MyDateField = L_LAST_N_WEEKS(3)` |
| ------------------------------------------------------------- |
#### L\_NEXT\_N\_WEEKS(n)
Every day in every week, starting the following week, and ending n weeks in the future.
| `SELECT * FROM MyTable WHERE MyDateField = L_NEXT_N_WEEKS(3)` |
| ------------------------------------------------------------- |
Also available:
* L\_LAST/L\_NEXT\_N\_MONTHS(n)
* L\_LAST/L\_NEXT\_N\_QUARTERS(n)
* L\_LAST/L\_NEXT\_N\_YEARS(n)
---
# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://docs.appstrategy.com/apprules-r-documentation/platform/platform-features/system-settings/data-sources/sql-compliance/socialnetworks/twitter.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.