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  1. 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...

    • Select

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

    • SQL Syntax

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

  2. 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:

  3. 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 ...

  4. Apr 22, 2024 · Spark SQL Function Introduction. 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 ...

  5. 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. PySpark Tutorial: PySpark is a powerful open-source framework built on Apache Spark, designed to simplify and accelerate large-scale data processing and analytics tasks. It offers a high-level API for Python programming language, enabling seamless integration with existing Python ecosystems. Advertisements. PySpark revolutionizes traditional ...

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  8. 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.