memory-footprint | Some memory footprint tests on Swift/iOS | iOS library

 by   leandromperez Swift Version: Current License: No License

kandi X-RAY | memory-footprint Summary

kandi X-RAY | memory-footprint Summary

memory-footprint is a Swift library typically used in Mobile, iOS applications. memory-footprint has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Some memory footprint tests on Swift/iOS
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              memory-footprint has a low active ecosystem.
              It has 13 star(s) with 0 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              memory-footprint has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of memory-footprint is current.

            kandi-Quality Quality

              memory-footprint has no bugs reported.

            kandi-Security Security

              memory-footprint has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              memory-footprint does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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

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            memory-footprint Key Features

            No Key Features are available at this moment for memory-footprint.

            memory-footprint Examples and Code Snippets

            No Code Snippets are available at this moment for memory-footprint.

            Community Discussions

            QUESTION

            Generating large pdf without having content in main memory
            Asked 2019-Apr-11 at 09:53

            I am using iText to generate very large tables in pdf format. What is the best way to generate these tables instead of having the entire content in memory? If I just increase the below size in the for loop to a million I run out of memory, is there a better way to stream it than having the entire content in memory

            I saw this post How to directly stream large content to PDF with minimal memory footprint? But I want to know what iText api to use.

            Example Code:

            ...

            ANSWER

            Answered 2019-Apr-11 at 09:53

            When using PdfPTable objects with very many cells you should make use of that class implementing LargeElement which is documented as

            Source https://stackoverflow.com/questions/55604354

            QUESTION

            Clean up changelog topic backing session windows
            Asked 2018-Jun-26 at 18:29

            We are aggregating in session windows by using the following code:

            ...

            ANSWER

            Answered 2018-Jun-26 at 18:29

            You are hitting a bug. I just created a ticket for this: https://issues.apache.org/jira/browse/KAFKA-7101.

            I would recommend that you modify the topic config manually for fix the issue in your deployment.

            Source https://stackoverflow.com/questions/51035935

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

            Vulnerabilities

            No vulnerabilities reported

            Install memory-footprint

            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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