gporca | A modular query optimizer for big data

 by   greenplum-db C++ Version: v3.122.0 License: Apache-2.0

kandi X-RAY | gporca Summary

kandi X-RAY | gporca Summary

gporca is a C++ library. gporca has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Welcome to GPORCA, the Greenplum Next Generation Query Optimizer!. To understand the objectives and architecture of GPORCA please refer to the following articles: * [Orca: A Modular Query Optimizer Architecture for Big Data] * [Profiling Query Compilation Time with GPORCA] * [Improving Constraints In ORCA] Questions? Connect with Greenplum on [Slack] GPORCA supports various build types: debug, release with debug info, release. You’ll need CMake 3.1 or higher to build GPORCA. Get it from cmake.org, or your operating system’s package manager. Note: GPDB 6X and later contain their own copy of GPORCA, this version is for GPDB 5X and any other uses.
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              gporca has a low active ecosystem.
              It has 542 star(s) with 199 fork(s). There are 111 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 36 open issues and 41 have been closed. On average issues are closed in 172 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of gporca is v3.122.0

            kandi-Quality Quality

              gporca has 0 bugs and 0 code smells.

            kandi-Security Security

              gporca has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              gporca code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              gporca is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              gporca releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 47505 lines of code, 104 functions and 414 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            gporca Key Features

            No Key Features are available at this moment for gporca.

            gporca Examples and Code Snippets

            No Code Snippets are available at this moment for gporca.

            Community Discussions

            QUESTION

            Open Source Greenplum: GPFDIST error 'Segmentation fault' when selecting from external table
            Asked 2019-Apr-24 at 14:16

            I'm trying to simply setup an Open Source Greenplum instance and have been hitting the same issue regarding GPFDIST for days! Simply put, I do a full installation from scratch on CentOS 7.6 (can provide further details regarding setup if needed) installing OS GPDB software version 5.18 with GPORCA disabled. Full command for the compile is:

            ...

            ANSWER

            Answered 2019-Apr-17 at 16:04

            The connection reset by peer only indicates that the other end of the socket had dropped (...in this case, gpfdist because it crashed out).

            Setup your gpfdist and try a wget to a hosted file adding:

            Source https://stackoverflow.com/questions/55725507

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install gporca

            ORCA is built with [CMake](https://cmake.org), so any build system supported by CMake can be used. The team uses [Ninja](https://ninja-build.org) because it’s really really fast and convenient.
            Run these in a psql session:
            Run the query in the same psql session. It will create a minidump file under the "minidumps" directory, in the master’s data directory:
            Run xmllint on the minidump to format it better, and copy it under the data/dxl/minidump directory:
            Add it to the test suite, in server/src/unittest/gpopt/minidump/CICGTest.cpp
            Run ctest -j8.
            If there are failing tests, run
            The output file can then be used with the fix_mdps.py script.
            Ensure that all changes are valid and as expected.
            GPORCA has four libraries:.
            libnaucrates --- has all DXL related classes, and statistics related classes
            libgpopt --- has all the code related to the optimization engine, meta-data accessor, logical / physical operators, transformation rules, and translators (DXL to expression and vice versa).
            libgpdbcost --- cost model for GPDB.
            libgpos --- abstraction of memory allocation, scheduling, error handling, and testing framework.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/greenplum-db/gporca.git

          • CLI

            gh repo clone greenplum-db/gporca

          • sshUrl

            git@github.com:greenplum-db/gporca.git

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