pipelinedb | High-performance time-series aggregation for PostgreSQL | Time Series Database library

 by   pipelinedb C Version: 1.0.0-13 License: Apache-2.0

kandi X-RAY | pipelinedb Summary

kandi X-RAY | pipelinedb Summary

pipelinedb is a C library typically used in Database, Time Series Database, Kafka applications. pipelinedb has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

PipelineDB is a PostgreSQL extension for high-performance time-series aggregation, designed to power realtime reporting and analytics applications. PipelineDB allows you to define continuous SQL queries that perpetually aggregate time-series data and store only the aggregate output in regular, queryable tables. You can think of this concept as extremely high-throughput, incrementally updated materialized views that never need to be manually refreshed. Raw time-series data is never written to disk, making PipelineDB extremely efficient for aggregation workloads. Continuous queries produce their own output streams, and thus can be chained together into arbitrary networks of continuous SQL.
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            kandi-support Support

              pipelinedb has a medium active ecosystem.
              It has 2534 star(s) with 237 fork(s). There are 108 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 127 open issues and 1344 have been closed. On average issues are closed in 138 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pipelinedb is 1.0.0-13

            kandi-Quality Quality

              pipelinedb has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              pipelinedb 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

              pipelinedb releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 2720 lines of code, 168 functions and 33 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            pipelinedb Key Features

            No Key Features are available at this moment for pipelinedb.

            pipelinedb Examples and Code Snippets

            No Code Snippets are available at this moment for pipelinedb.

            Community Discussions

            Trending Discussions on pipelinedb

            QUESTION

            What is "IsA()" function in C?
            Asked 2020-May-27 at 06:13

            In pure C code in different projects that involve Postgresql server programming which I'm working with now, I keep encountering the function "IsA()" which returns a boolean and checks whether or not 2 instances of a struct belong to the same struct. I suppose.

            One of them:

            https://github.com/guotao0628/pipelinedb/blob/master/src/backend/executor/nodeBitmapAnd.c#L123

            ...

            ANSWER

            Answered 2020-May-27 at 06:13

            IsA is a macro which is defined in this header file in Postgresql source code.

            Source https://stackoverflow.com/questions/62036037

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

            Vulnerabilities

            No vulnerabilities reported

            Install pipelinedb

            If you just want to start using PipelineDB right away, head over to the installation docs to get going.

            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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