db-benchmark | reproducible benchmark of database-like ops | Machine Learning library

 by   h2oai R Version: 2.0.0 License: MPL-2.0

kandi X-RAY | db-benchmark Summary

kandi X-RAY | db-benchmark Summary

db-benchmark is a R library typically used in Artificial Intelligence, Machine Learning applications. db-benchmark has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

Repository for reproducible benchmarking of database-like operations in single-node environment. Benchmark report is available at h2oai.github.io/db-benchmark. We focused mainly on portability and reproducibility. Benchmark is routinely re-run to present up-to-date timings. Most of solutions used are automatically upgraded to their stable or development versions. This benchmark is meant to compare scalability both in data volume and data complexity. Contribution and feedback are very welcome!.
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            kandi-support Support

              db-benchmark has a low active ecosystem.
              It has 283 star(s) with 56 fork(s). There are 129 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 49 open issues and 150 have been closed. On average issues are closed in 123 days. There are 8 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of db-benchmark is 2.0.0

            kandi-Quality Quality

              db-benchmark has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              db-benchmark is licensed under the MPL-2.0 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

              db-benchmark releases are not available. You will need to build from source code and install.

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            db-benchmark Key Features

            No Key Features are available at this moment for db-benchmark.

            db-benchmark Examples and Code Snippets

            No Code Snippets are available at this moment for db-benchmark.

            Community Discussions

            Trending Discussions on db-benchmark

            QUESTION

            Groupby or aggregate on big df
            Asked 2022-Feb-25 at 05:11

            I'm not understanding how to groupby on a large df in R.

            Columns 0-12 are identifiers, unique, and I would like to leave them as is

            I've tried a number of variations of this

            ...

            ANSWER

            Answered 2022-Feb-25 at 01:14
            library(data.table)
            
            setDT(df)
            
            x <- names(df)[13:ncol(df)]
            
            y <- names(df)[1:12]
            
            df_2 <- df[, lapply(.SD, \(i) sum(i)), .SDcols=x, by=y]
            

            Source https://stackoverflow.com/questions/71259467

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

            Vulnerabilities

            No vulnerabilities reported

            Install db-benchmark

            You can download it from GitHub.

            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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            gh repo clone h2oai/db-benchmark

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            git@github.com:h2oai/db-benchmark.git

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