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  1. Welcome! - The Apache HTTP Server Project

    Jan 1, 2018 · The Apache HTTP Server Project is an effort to develop and maintain an open-source HTTP server for modern operating systems including UNIX and Windows. The goal of …

  2. Download - The Apache HTTP Server Project

    Oct 8, 2013 · Use the links below to download the Apache HTTP Server from our download servers. You must verify the integrity of the downloaded files using signatures downloaded …

  3. Welcome to The Apache Software Foundation | Apache Software …

    The Apache® Software Foundation (ASF) provides software for the public good, guided by community over code. Like the enduring oak tree, our projects thrive through the contributions …

  4. REST Catalog Spec - Apache Iceberg™

    REST Catalog Spec REST Catalog API Specification Iceberg defines a REST-based Catalog API for managing table metadata and performing catalog operations. You can find the OpenAPI …

  5. Downloading Apache NetBeans 25

    Feb 20, 2025 · Apache NetBeans 25 was released on February 20, 2025. Apache NetBeans 25 is available for download from your closest Apache mirror. Binaries (Platform Independent):

  6. Apache Camel Security Advisory - CVE-2025-27636

    Also, users could use removeHeaders EIP, to filter out anything like ‘cAmel, cAMEL’ etc, or in general everything not starting with ‘Camel’, ‘camel’ or ‘org.apache.camel.’.

  7. Downloading Apache NetBeans 27

    Aug 21, 2025 · These installers and packages are provided by various NetBeans committers as a convenience. While built using the Apache NetBeans release, they are not releases of the …

  8. Using Apache HTTP Server on Microsoft Windows

    The main differences in Apache for Windows are: Because Apache for Windows is multithreaded, it does not use a separate process for each request, as Apache can on Unix. Instead there are …

  9. CREATE-USER - Apache Doris

    CREATE-USERCREATE-USER CREATE-USER Name CREATE USER Description The CREATE USER command is used to create a Doris user.

  10. PySpark Overview — PySpark 4.0.1 documentation - Apache Spark

    PySpark combines Python’s learnability and ease of use with the power of Apache Spark to enable processing and analysis of data at any size for everyone familiar with Python.