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1. spark.apache.org › docs › latestTable-valued Functions (TVF) - Spark 3.5.3 Documentation

   spark.apache.org › docs › latest

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   Table-valued Functions (TVF) Description. A table-valued function (TVF) is a function that returns a relation or a set of rows. There are two types of TVFs in Spark SQL: a TVF that can be specified in a FROM clause, e.g. range; a TVF that can be specified in SELECT/LATERAL VIEW clauses, e.g. explode. Supported Table-valued Functions

   • Functions

     Functions. Spark SQL provides two function features to meet...

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     Table-value function; Inline table [ LATERAL] ( Subquery )...

   • SQL Syntax

     SQL Syntax. Spark SQL is Apache Spark’s module for working...

2. stackoverflow.com › questions › 34754663Difference between scalar, table-valued, and aggregate ...

   stackoverflow.com › questions › 34754663

   Jan 13, 2016 · Scalar function. Returns a single value. It is just like writing functions in other programming languages using T-SQL syntax. Table Valued function. Is a little different compared to the above. Returns a table value. Inside the body of this function you write a query that will return the exact table. For example:

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4. books.japila.pl › spark-sql-internals › table-valuedTable-Valued Functions - The Internals of Spark SQL

   books.japila.pl › spark-sql-internals › table-valued

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   Table-Valued Functions. Table-Valued Functions (TFVs) are functions that return a table (as a LogicalPlan) that can be used anywhere that a regular (scalar) table is allowed. Table functions behave similarly to views, but, as functions in general, table functions accept parameters. Table-Valued Functions are represented as ...

5. www.sqltutorial.net › sql-table-valued-functionsSQL Table-Valued functions – SQL Tutorial

   www.sqltutorial.net › sql-table-valued-functions

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   SQL Table-Valued Function (TVF) is a user-defined function that returns a table as a result set. Unlike scalar functions that return a single value, a TVF can be used to encapsulate a complex logic that generates and returns a table of data. TVFs are particularly useful when you need to perform a set of operations on a dataset and return the ...

6. www.w3schools.com › SQL › sql_likeSQL LIKE Operator - W3Schools

   www.w3schools.com › SQL › sql_like

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   The SQL LIKE Operator. The LIKE operator is used in a. WHERE clause to search for a specified pattern in a column. There are two wildcards often used in conjunction with the. LIKE operator: The percent sign % represents zero, one, or multiple characters. The underscore sign _ represents one, single character.

7. sparkbyexamples.com › pyspark › pyspark-sql-withPySpark SQL Tutorial with Examples - Spark By Examples

   sparkbyexamples.com › pyspark › pyspark-sql-with

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   May 7, 2024 · Related: PySpark SQL Functions. 1. PySpark SQL Tutorial Introduction. PySpark SQL Tutorial – The pyspark.sql is a module in PySpark that is used to perform SQL-like operations on the data stored in memory. You can either leverage using programming API to query the data or use the ANSI SQL queries similar to RDBMS.

8. People also ask

   What is a table-valued function in Spark SQL?

   • A table-valued function (TVF) is a function that returns a relation or a set of rows. There are two types of TVFs in Spark SQL: a TVF that can be specified in SELECT/LATERAL VIEW clauses, e.g. explode. containing rows in a range from 0 to end (exclusive) with step value 1. containing rows in a range from start to end (exclusive) with step value 1.

   Table-valued Functions (TVF) - Spark 3.5.0 Documentation

   spark.apache.org/docs/latest/sql-ref-syntax-qry-select-tvf.html

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   What is a SQL table-valued function (TVF)?

   • TVFs are particularly useful when you need to perform a set of operations on a dataset and return the result as a table, which can then be used in a query like a regular table or joined with other tables. Here are some key characteristics and considerations for SQL Table-Valued Functions: Types of TVFs

   SQL Table-Valued functions - SQL Tutorial

   www.sqltutorial.net/sql-table-valued-functions.html

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   What's the difference between a scalar function and a tabled-valued function?

   • Please also see: A scalar function returns a single value. It might not even be related to tables in your database. A tabled-valued function returns your specified columns for rows in your table meeting your selection criteria. An aggregate-valued function returns a calculation across the rows of a table -- for example summing values.

   Difference between scalar, table-valued, and aggregate functions in SQL

   stackoverflow.com/questions/34754663/difference-between-scalar-table-valued-and-aggregate-functions-in-sql-server

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   What is a table valued function?

   • Table valued functions are a type of re-useable code. Code re-use is almost always better than code repetition. Table-valued functions are "just" parameterized views. This makes them extremely powerful for encapsulating logic that would otherwise be hidden behind an opaque stored procedure. Here's an example: Inline Table-valued Function:

   sql - When would you use a table-valued function? - Stack Overflow

   stackoverflow.com/questions/40535519/when-would-you-use-a-table-valued-function

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   What is a table-valued function in SQL?

   • In summary, SQL Table-Valued Functions provide a powerful way to encapsulate and reuse logic that generates a set of rows as a result. They enhance code modularity, readability, and maintainability while offering a flexible way to work with sets of data in SQL queries.

   SQL Table-Valued functions - SQL Tutorial

   www.sqltutorial.net/sql-table-valued-functions.html

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   How to run a SQL query using spark?

   • Load your data into a DataFrame. You can read data from various sources such as CSV files, Parquet files, or JDBC data sources. Register the DataFrame as a temporary view so that you can query it using SQL. Now you can run SQL queries on the registered temporary view using the spark.sql() method. Process the results returned by the SQL query.

   PySpark SQL Tutorial with Examples - Spark By {Examples}

   sparkbyexamples.com/pyspark/pyspark-sql-with-examples/

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9. spark.apache.org › docs › latestSQL Syntax - Spark 3.5.3 Documentation - Apache Spark

   spark.apache.org › docs › latest

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   SQL Syntax. Spark SQL is Apache Spark’s module for working with structured data. The SQL Syntax section describes the SQL syntax in detail along with usage examples when applicable. This document provides a list of Data Definition and Data Manipulation Statements, as well as Data Retrieval and Auxiliary Statements.