# Redis ### SELECT Statements The Provider for Redis is SQL-92 compliant. Below are some example SELECT statements. 1. Return all columns:
| `SELECT * FROM Customers` | | ------------------------- | 2. Rename a column:
| `SELECT [CompanyName] AS MY_CompanyName FROM Customers` | | ------------------------------------------------------- | 3. Search data:
| `SELECT * FROM Customers WHERE Country = 'US';` | | ----------------------------------------------- | 4. Return the number of items in a group:
| `SELECT COUNT(*) AS MyCount FROM Customers` | | ------------------------------------------- | 5. Return the number of unique items in a group:
| `SELECT COUNT(DISTINCT CompanyName) FROM Customers` | | --------------------------------------------------- | 6. Summarize data:
| `SELECT CompanyName, MAX(Balance) FROM Customers GROUP BY CompanyName` | | ---------------------------------------------------------------------- | 7. Retrieve data from multiple tables.
| `SELECT Restaurants.name, Zips.city FROM Restaurants INNER JOIN Zips ON Restaurants.zipcode = Zips.id` | | ------------------------------------------------------------------------------------------------------ | See JOIN Queries below for details. 8. Sort a result set in ascending order:
| `SELECT City, CompanyName FROM Customers ORDER BY CompanyName ASC` | | ------------------------------------------------------------------ | 9. Restrict a result set to the specified number of rows:
| `SELECT City, CompanyName FROM Customers LIMIT 10` | | -------------------------------------------------- | 10. Parameterize a query to pass in inputs at execution time. This enables you to create prepared statements and mitigate SQL injection attacks.
| `SELECT * FROM Customers WHERE Country = @param` | | ------------------------------------------------ | ### Aggregate Functions The provider supports SQL-92 summary functions. #### COUNT Returns the number of rows matching the query criteria.
| `SELECT COUNT(*) FROM Customers WHERE Country = US` | | --------------------------------------------------- | #### COUNT\_DISTINCT Returns the number of distinct, non-null field values matching the query criteria.
| `SELECT COUNT_DISTINCT(City) AS DistinctValues FROM Customers` | | -------------------------------------------------------------- | #### AVG Returns the average of the column values.
| `SELECT CompanyName, AVG(Balance) FROM Customers GROUP BY CompanyName` | | ----------------------------------------------------------------------- | #### MIN Returns the minimum column value.
| `SELECT MIN(Balance), CompanyName FROM Customers GROUP BY CompanyName` | | ---------------------------------------------------------------------- | #### MAX Returns the maximum column value.
| `SELECT CompanyName, MAX(Balance) FROM Customers GROUP BY CompanyName` | | ---------------------------------------------------------------------- | #### SUM Returns the total sum of the column values.
| `SELECT SUM(Balance) FROM Customers WHERE Country = US` | | ------------------------------------------------------- | #### JOIN Queries The Provider for Redis supports joins of multiple tables. #### Joining Multiple Tables You can join multiple tables just like you would in a relational database. Set SupportEnhancedSQL to True to execute these types of joins. The following examples use two tables: Restaurants and Zips. The query below returns the Restaurant records that exist, if any, for each ZIP code:
| `SELECT z.city, r.name, r.borough, r.cuisine, r.zipcodeFROM Zips zLEFT JOIN Restaurants rON r.zipcode = z._id` | | -------------------------------------------------------------------------------------------------------------- | The query below returns records from both tables that match the join condition:
| `SELECT z.city, r.name, r.borough, r.cuisine, r.zipcodeFROM Restaurants rINNER JOIN Zips zON r.zipcode = z._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/nosql/redis.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.