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1. • • 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.
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     Table-valued Functions (TVF) - Spark 3.5.3 Documentation

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   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 are Spark SQL functions?

   • Spark SQL functions are a set of built-in functions provided by Apache Spark for performing various operations on DataFrame and Dataset objects in Spark SQL. These functions enable users to manipulate and analyze data within Spark SQL queries, providing a wide range of functionalities similar to those found in traditional SQL databases.

   SQL Built-in Functions in Spark - Spark By Examples

   sparkbyexamples.com/spark/spark-sql-functions/

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

   spark.apache.org › docs › latest

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   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. TVFs that can be specified in a FROM clause:

   • Functions

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

   • Select

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

   • SQL Syntax

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

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

   stackoverflow.com › questions › 34754663

   Jan 13, 2016 · 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.

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6. 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 (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.

7. sparkbyexamples.com › spark › spark-sql-functionsSQL Built-in Functions in Spark - Spark By Examples

   sparkbyexamples.com › spark › spark-sql-functions

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   Apr 22, 2024 · Spark SQL functions are a set of built-in functions provided by Apache Spark for performing various operations on DataFrame and Dataset objects in Spark SQL. These functions enable users to manipulate and analyze data within Spark SQL queries, providing a wide range of functionalities similar to those found in traditional SQL databases.

8. 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.

9. 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 · By using SQL queries in PySpark, users who are familiar with SQL can leverage their existing knowledge and skills to work with Spark DataFrames. SQL provides a concise and intuitive syntax for expressing data manipulation operations such as filtering, aggregating, joining, and sorting.

10. sparkbyexamples.com › spark › spark-sql-explainedSpark SQL Explained with Examples

    sparkbyexamples.com › spark › spark-sql-explained

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    Apr 24, 2024 · Spark SQL is a very important and most used module that is used for structured data processing. Spark SQL allows you to query structured data using either.