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  1. spark.apache.org › sqlSpark SQL & DataFrames | Apache Spark

    Spark SQL is a module for working with structured data in Spark programs or through standard connectors. It supports SQL queries, DataFrame API, Hive integration, JDBC and ODBC, and more.

    • DataFrame API

      Spark SQL, DataFrames and Datasets Guide. Spark SQL is a...

    • Archive

      The agenda for Spark + AI Summit 2020 is now available! The...

    • Hive Tables

      Hive Tables. Specifying storage format for Hive tables;...

    • Parquet Files

      Columnar Encryption. Since Spark 3.2, columnar encryption is...

  2. spark.apache.org › docs › latestSpark SQL and DataFrames - Spark 3.5.1 Documentation

    Learn how to use Spark SQL for structured data processing with SQL, Dataset and DataFrame APIs. Spark SQL can also read data from Hive and perform extra optimizations.

  3. spark.apache.org › docs › 2Spark SQL and DataFrames - Spark 2.2.0 Documentation

    Learn how to use Spark SQL, a Spark module for structured data processing, with SQL and Dataset APIs. Find examples, reference, migration and troubleshooting guides for Spark SQL 2.2.0.

  4. sparkbyexamples.com › pyspark › pyspark-sql-withPySpark SQL Tutorial with Examples - Spark By {Examples}

    7 de may. de 2024 · Learn how to use PySpark SQL module to perform SQL-like operations on structured data in PySpark. See how to create DataFrames, register them as views, and run SQL queries with examples.

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  6. www.databricks.com › glossary › what-is-spark-sqlWhat is Spark SQL? Intro, Features & Benefits | Databricks

    Spark SQL is a Spark module for structured data processing that provides a programming abstraction called DataFrames and acts as a distributed SQL query engine. It enables fast and easy querying of data stored in RDDs, Hive tables, and external sources, and integrates with the rest of the Spark ecosystem.

  7. opensource.com › article › 19How to use Spark SQL: A hands-on tutorial | Opensource.com

    21 de mar. de 2019 · Learn how to leverage relational databases at scale using Spark SQL and DataFrames with a real-world dataset. This tutorial covers data retrieval, transformation, querying, and visualization using Spark on Databricks.

  8. medium.com › @ByteInsights › spark-sql-for-beginnersSpark SQL for Beginners: A Fun and Insightful Tutorial

    21 de jun. de 2023 · We’ll show you how to execute SQL queries on DataFrames using Spark SQL’s SQL API. We’ll cover the syntax for SELECT, FROM, WHERE, and other common clauses. Get ready to unleash the power...