How to set memory limit in RStudio (desktop version)?Increasing (or decreasing) the memory available to R processesHow to set memory.limit in RStudio on Windows Vista at startup?How To Limit the Amount of RAM RServer/RSession Uses on WindowsLimit memory usage of RHow to set limits for axes in ggplot2 R plots?Setting up RStudio Portable Default R versionRStudio freezes on “saving workspace image,” previously saved .RData file disappearsRStudio server increasing memory for allocation?setting SQLite version on RStudioHow to decrease memory used by Rscript.exe?“GC overhead limit exceeded” on cache of large dataset into spark memory (via sparklyr & RStudio)How to stop a running query?How to set locale for Rstudio?rstudio - removing the memory limit

Smallest Guaranteed hash collision cycle length

LWC1513: @salesforce/resourceUrl modules only support default imports

How do I interpret improvement in AUC ROC from the business perspective?

What does 'pisketti' mean here?

Can't find the release for this wiring harness connector

What are the implications of the new alleged key recovery attack preprint on SIMON?

Can I use my laptop, which says 100-240V, in the USA?

How exactly does artificial gravity work?

Why is it harder to turn a motor/generator with shorted terminals?

What's the difference between "за ... от" and "в ... от"?

Jumping frame contents with beamer and pgfplots

Unexpected Netflix account registered to my Gmail address - any way it could be a hack attempt?

How do I tell my supervisor that he is choosing poor replacements for me while I am on maternity leave?

Why does the headset man not get on the tractor?

Is there anything special about -1 (0xFFFFFFFF) regarding ADC?

Tikz draw contour without some edges, and fill

Anabelian geometry ~ higher category theory

Jesus' words on the Jews

Why was Thor doubtful about his worthiness to Mjolnir?

If current results hold, Man City would win PL title

What kind of SATA connector is this?

Does Lawful Interception of 4G / the proposed 5G provide a back door for hackers as well?

Conditional probability - sum of dice is even given that at least one is a five

Centering subcaptions in a tikz pgfplot subfigure environment?



How to set memory limit in RStudio (desktop version)?


Increasing (or decreasing) the memory available to R processesHow to set memory.limit in RStudio on Windows Vista at startup?How To Limit the Amount of RAM RServer/RSession Uses on WindowsLimit memory usage of RHow to set limits for axes in ggplot2 R plots?Setting up RStudio Portable Default R versionRStudio freezes on “saving workspace image,” previously saved .RData file disappearsRStudio server increasing memory for allocation?setting SQLite version on RStudioHow to decrease memory used by Rscript.exe?“GC overhead limit exceeded” on cache of large dataset into spark memory (via sparklyr & RStudio)How to stop a running query?How to set locale for Rstudio?rstudio - removing the memory limit






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty height:90px;width:728px;box-sizing:border-box;








20















I'm aware that there has already been a similar question here, but the answer is out-of-date. The information I've found in the internet refers to RStudio Server rather than Desktop.



I have limited resources on my Windows 7 x64 PC. I've set the environment variable R_MAX_MEM_SIZE and this is accepted by the RGui (as seen when typing memory_limit()). However, RStudio (Version 0.98.507) ignores this setting and still uses the entire memory of my computer which sometimes leads to crashes of the whole system. How can I limit the amount of memory used by R when running it in RStudio Desktop?










share|improve this question



















  • 1





    you can use cmd and then go to R bin directory C:Program FilesRStudiobin then start rstudio.exe --max-mem-size=4GB

    – rischan
    May 30 '14 at 9:19






  • 1





    @rischan Isn't it the same as what pops suggested except that I would need to do this each time I start RStudio? And would this just lead to a crash/error of the R session or of whole RStudio?

    – AnjaM
    May 30 '14 at 9:23






  • 2





    @hadley I had several OS crashes in the last few days because R occupied the whole RAM when I run particular pieces of code in RStudio. After setting the environment variable and executing the same code in RGui, R stopped with the error message "cannot allocate a vector...". However, if I run exactly the same code in RStudio, this message doesn't appear but instead the OS stops reacting.

    – AnjaM
    May 30 '14 at 18:02






  • 1





    @hadley Done: support.rstudio.com/hc/communities/public/questions/…

    – AnjaM
    Jun 3 '14 at 6:49






  • 1





    Just to let you know, support.rstudio.com on 2014/06/10: "We've got it on our list of things to investigate and hope to have a solution soon" - 2016/08/01, RStudio is still not picking up R_MAX_MEM_SIZE.

    – m-dz
    Aug 1 '16 at 9:03

















20















I'm aware that there has already been a similar question here, but the answer is out-of-date. The information I've found in the internet refers to RStudio Server rather than Desktop.



I have limited resources on my Windows 7 x64 PC. I've set the environment variable R_MAX_MEM_SIZE and this is accepted by the RGui (as seen when typing memory_limit()). However, RStudio (Version 0.98.507) ignores this setting and still uses the entire memory of my computer which sometimes leads to crashes of the whole system. How can I limit the amount of memory used by R when running it in RStudio Desktop?










share|improve this question



















  • 1





    you can use cmd and then go to R bin directory C:Program FilesRStudiobin then start rstudio.exe --max-mem-size=4GB

    – rischan
    May 30 '14 at 9:19






  • 1





    @rischan Isn't it the same as what pops suggested except that I would need to do this each time I start RStudio? And would this just lead to a crash/error of the R session or of whole RStudio?

    – AnjaM
    May 30 '14 at 9:23






  • 2





    @hadley I had several OS crashes in the last few days because R occupied the whole RAM when I run particular pieces of code in RStudio. After setting the environment variable and executing the same code in RGui, R stopped with the error message "cannot allocate a vector...". However, if I run exactly the same code in RStudio, this message doesn't appear but instead the OS stops reacting.

    – AnjaM
    May 30 '14 at 18:02






  • 1





    @hadley Done: support.rstudio.com/hc/communities/public/questions/…

    – AnjaM
    Jun 3 '14 at 6:49






  • 1





    Just to let you know, support.rstudio.com on 2014/06/10: "We've got it on our list of things to investigate and hope to have a solution soon" - 2016/08/01, RStudio is still not picking up R_MAX_MEM_SIZE.

    – m-dz
    Aug 1 '16 at 9:03













20












20








20


5






I'm aware that there has already been a similar question here, but the answer is out-of-date. The information I've found in the internet refers to RStudio Server rather than Desktop.



I have limited resources on my Windows 7 x64 PC. I've set the environment variable R_MAX_MEM_SIZE and this is accepted by the RGui (as seen when typing memory_limit()). However, RStudio (Version 0.98.507) ignores this setting and still uses the entire memory of my computer which sometimes leads to crashes of the whole system. How can I limit the amount of memory used by R when running it in RStudio Desktop?










share|improve this question
















I'm aware that there has already been a similar question here, but the answer is out-of-date. The information I've found in the internet refers to RStudio Server rather than Desktop.



I have limited resources on my Windows 7 x64 PC. I've set the environment variable R_MAX_MEM_SIZE and this is accepted by the RGui (as seen when typing memory_limit()). However, RStudio (Version 0.98.507) ignores this setting and still uses the entire memory of my computer which sometimes leads to crashes of the whole system. How can I limit the amount of memory used by R when running it in RStudio Desktop?







r rstudio






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited May 23 '17 at 12:25









Community

11




11










asked May 30 '14 at 8:24









AnjaMAnjaM

1,26532848




1,26532848







  • 1





    you can use cmd and then go to R bin directory C:Program FilesRStudiobin then start rstudio.exe --max-mem-size=4GB

    – rischan
    May 30 '14 at 9:19






  • 1





    @rischan Isn't it the same as what pops suggested except that I would need to do this each time I start RStudio? And would this just lead to a crash/error of the R session or of whole RStudio?

    – AnjaM
    May 30 '14 at 9:23






  • 2





    @hadley I had several OS crashes in the last few days because R occupied the whole RAM when I run particular pieces of code in RStudio. After setting the environment variable and executing the same code in RGui, R stopped with the error message "cannot allocate a vector...". However, if I run exactly the same code in RStudio, this message doesn't appear but instead the OS stops reacting.

    – AnjaM
    May 30 '14 at 18:02






  • 1





    @hadley Done: support.rstudio.com/hc/communities/public/questions/…

    – AnjaM
    Jun 3 '14 at 6:49






  • 1





    Just to let you know, support.rstudio.com on 2014/06/10: "We've got it on our list of things to investigate and hope to have a solution soon" - 2016/08/01, RStudio is still not picking up R_MAX_MEM_SIZE.

    – m-dz
    Aug 1 '16 at 9:03












  • 1





    you can use cmd and then go to R bin directory C:Program FilesRStudiobin then start rstudio.exe --max-mem-size=4GB

    – rischan
    May 30 '14 at 9:19






  • 1





    @rischan Isn't it the same as what pops suggested except that I would need to do this each time I start RStudio? And would this just lead to a crash/error of the R session or of whole RStudio?

    – AnjaM
    May 30 '14 at 9:23






  • 2





    @hadley I had several OS crashes in the last few days because R occupied the whole RAM when I run particular pieces of code in RStudio. After setting the environment variable and executing the same code in RGui, R stopped with the error message "cannot allocate a vector...". However, if I run exactly the same code in RStudio, this message doesn't appear but instead the OS stops reacting.

    – AnjaM
    May 30 '14 at 18:02






  • 1





    @hadley Done: support.rstudio.com/hc/communities/public/questions/…

    – AnjaM
    Jun 3 '14 at 6:49






  • 1





    Just to let you know, support.rstudio.com on 2014/06/10: "We've got it on our list of things to investigate and hope to have a solution soon" - 2016/08/01, RStudio is still not picking up R_MAX_MEM_SIZE.

    – m-dz
    Aug 1 '16 at 9:03







1




1





you can use cmd and then go to R bin directory C:Program FilesRStudiobin then start rstudio.exe --max-mem-size=4GB

– rischan
May 30 '14 at 9:19





you can use cmd and then go to R bin directory C:Program FilesRStudiobin then start rstudio.exe --max-mem-size=4GB

– rischan
May 30 '14 at 9:19




1




1





@rischan Isn't it the same as what pops suggested except that I would need to do this each time I start RStudio? And would this just lead to a crash/error of the R session or of whole RStudio?

– AnjaM
May 30 '14 at 9:23





@rischan Isn't it the same as what pops suggested except that I would need to do this each time I start RStudio? And would this just lead to a crash/error of the R session or of whole RStudio?

– AnjaM
May 30 '14 at 9:23




2




2





@hadley I had several OS crashes in the last few days because R occupied the whole RAM when I run particular pieces of code in RStudio. After setting the environment variable and executing the same code in RGui, R stopped with the error message "cannot allocate a vector...". However, if I run exactly the same code in RStudio, this message doesn't appear but instead the OS stops reacting.

– AnjaM
May 30 '14 at 18:02





@hadley I had several OS crashes in the last few days because R occupied the whole RAM when I run particular pieces of code in RStudio. After setting the environment variable and executing the same code in RGui, R stopped with the error message "cannot allocate a vector...". However, if I run exactly the same code in RStudio, this message doesn't appear but instead the OS stops reacting.

– AnjaM
May 30 '14 at 18:02




1




1





@hadley Done: support.rstudio.com/hc/communities/public/questions/…

– AnjaM
Jun 3 '14 at 6:49





@hadley Done: support.rstudio.com/hc/communities/public/questions/…

– AnjaM
Jun 3 '14 at 6:49




1




1





Just to let you know, support.rstudio.com on 2014/06/10: "We've got it on our list of things to investigate and hope to have a solution soon" - 2016/08/01, RStudio is still not picking up R_MAX_MEM_SIZE.

– m-dz
Aug 1 '16 at 9:03





Just to let you know, support.rstudio.com on 2014/06/10: "We've got it on our list of things to investigate and hope to have a solution soon" - 2016/08/01, RStudio is still not picking up R_MAX_MEM_SIZE.

– m-dz
Aug 1 '16 at 9:03












3 Answers
3






active

oldest

votes


















0














If I'm not mistaken, by default the limit on Windows is 4GB. You cans use the cmd proposed by @rischan but with minor modification : rstudio.exe --max-mem-size=8GB.



For information do not forget to clean the cache when starting the execution of a new script. For this use the following cmd :



 rm(list=ls()) --> for clean your environment
gc() --> for launch the ''garbage collection''





share|improve this answer






























    0














    If your question is how to prevent R from crashing when it reaches the memory limit rather than figuring out why memory_limit() does not work, here are a few options.



    If memory_limit()
    does not allow you to limit the memory on Windows:



    • Check that your version of Windows matches with your version of R (not Rstudio). I.E. if you have a windows x64bits, check that Rstudio is running on R x64bits. This can be done using Sys.getenv("R_ARCH").

    • Clean your environment with rm(list=ls()) to get rid of previously stored datasets and functions.

    • Close Rstudio and R. Press WINDOWS + R, this opens a Run window. Write cmd and press enter. Navigate to this directory C:Program FilesRStudiobin then start rstudio.exe using cd. You may need to adapt this depending on where your RStudio folder is located on your computer. Then write --max-mem-size=4GB and press enter. You will need to repeat this every time you want to start an R session. This may not work on every computer.

    • Most computers can handle more memory than what is previously installed. Check what is the maximum memory capacity that your computer can handle, and consider buying more physical RAM.

    • Press Ctrl+Alt+Del and select task manager. Under Processes, check which program is using significant amounts of memory and whether you can end them safely. Windows users tend to accumulate unnecessary programs.





    share|improve this answer
































      0














      This works for my PC :



       # Check memory limit
      memory.limit()
      # Change memory limit
      memory.limit(size = 15000)





      share|improve this answer























        Your Answer






        StackExchange.ifUsing("editor", function ()
        StackExchange.using("externalEditor", function ()
        StackExchange.using("snippets", function ()
        StackExchange.snippets.init();
        );
        );
        , "code-snippets");

        StackExchange.ready(function()
        var channelOptions =
        tags: "".split(" "),
        id: "1"
        ;
        initTagRenderer("".split(" "), "".split(" "), channelOptions);

        StackExchange.using("externalEditor", function()
        // Have to fire editor after snippets, if snippets enabled
        if (StackExchange.settings.snippets.snippetsEnabled)
        StackExchange.using("snippets", function()
        createEditor();
        );

        else
        createEditor();

        );

        function createEditor()
        StackExchange.prepareEditor(
        heartbeatType: 'answer',
        autoActivateHeartbeat: false,
        convertImagesToLinks: true,
        noModals: true,
        showLowRepImageUploadWarning: true,
        reputationToPostImages: 10,
        bindNavPrevention: true,
        postfix: "",
        imageUploader:
        brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
        contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
        allowUrls: true
        ,
        onDemand: true,
        discardSelector: ".discard-answer"
        ,immediatelyShowMarkdownHelp:true
        );



        );













        draft saved

        draft discarded


















        StackExchange.ready(
        function ()
        StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f23950132%2fhow-to-set-memory-limit-in-rstudio-desktop-version%23new-answer', 'question_page');

        );

        Post as a guest















        Required, but never shown

























        3 Answers
        3






        active

        oldest

        votes








        3 Answers
        3






        active

        oldest

        votes









        active

        oldest

        votes






        active

        oldest

        votes









        0














        If I'm not mistaken, by default the limit on Windows is 4GB. You cans use the cmd proposed by @rischan but with minor modification : rstudio.exe --max-mem-size=8GB.



        For information do not forget to clean the cache when starting the execution of a new script. For this use the following cmd :



         rm(list=ls()) --> for clean your environment
        gc() --> for launch the ''garbage collection''





        share|improve this answer



























          0














          If I'm not mistaken, by default the limit on Windows is 4GB. You cans use the cmd proposed by @rischan but with minor modification : rstudio.exe --max-mem-size=8GB.



          For information do not forget to clean the cache when starting the execution of a new script. For this use the following cmd :



           rm(list=ls()) --> for clean your environment
          gc() --> for launch the ''garbage collection''





          share|improve this answer

























            0












            0








            0







            If I'm not mistaken, by default the limit on Windows is 4GB. You cans use the cmd proposed by @rischan but with minor modification : rstudio.exe --max-mem-size=8GB.



            For information do not forget to clean the cache when starting the execution of a new script. For this use the following cmd :



             rm(list=ls()) --> for clean your environment
            gc() --> for launch the ''garbage collection''





            share|improve this answer













            If I'm not mistaken, by default the limit on Windows is 4GB. You cans use the cmd proposed by @rischan but with minor modification : rstudio.exe --max-mem-size=8GB.



            For information do not forget to clean the cache when starting the execution of a new script. For this use the following cmd :



             rm(list=ls()) --> for clean your environment
            gc() --> for launch the ''garbage collection''






            share|improve this answer












            share|improve this answer



            share|improve this answer










            answered Jul 4 '18 at 12:30









            NivekNivek

            86




            86























                0














                If your question is how to prevent R from crashing when it reaches the memory limit rather than figuring out why memory_limit() does not work, here are a few options.



                If memory_limit()
                does not allow you to limit the memory on Windows:



                • Check that your version of Windows matches with your version of R (not Rstudio). I.E. if you have a windows x64bits, check that Rstudio is running on R x64bits. This can be done using Sys.getenv("R_ARCH").

                • Clean your environment with rm(list=ls()) to get rid of previously stored datasets and functions.

                • Close Rstudio and R. Press WINDOWS + R, this opens a Run window. Write cmd and press enter. Navigate to this directory C:Program FilesRStudiobin then start rstudio.exe using cd. You may need to adapt this depending on where your RStudio folder is located on your computer. Then write --max-mem-size=4GB and press enter. You will need to repeat this every time you want to start an R session. This may not work on every computer.

                • Most computers can handle more memory than what is previously installed. Check what is the maximum memory capacity that your computer can handle, and consider buying more physical RAM.

                • Press Ctrl+Alt+Del and select task manager. Under Processes, check which program is using significant amounts of memory and whether you can end them safely. Windows users tend to accumulate unnecessary programs.





                share|improve this answer





























                  0














                  If your question is how to prevent R from crashing when it reaches the memory limit rather than figuring out why memory_limit() does not work, here are a few options.



                  If memory_limit()
                  does not allow you to limit the memory on Windows:



                  • Check that your version of Windows matches with your version of R (not Rstudio). I.E. if you have a windows x64bits, check that Rstudio is running on R x64bits. This can be done using Sys.getenv("R_ARCH").

                  • Clean your environment with rm(list=ls()) to get rid of previously stored datasets and functions.

                  • Close Rstudio and R. Press WINDOWS + R, this opens a Run window. Write cmd and press enter. Navigate to this directory C:Program FilesRStudiobin then start rstudio.exe using cd. You may need to adapt this depending on where your RStudio folder is located on your computer. Then write --max-mem-size=4GB and press enter. You will need to repeat this every time you want to start an R session. This may not work on every computer.

                  • Most computers can handle more memory than what is previously installed. Check what is the maximum memory capacity that your computer can handle, and consider buying more physical RAM.

                  • Press Ctrl+Alt+Del and select task manager. Under Processes, check which program is using significant amounts of memory and whether you can end them safely. Windows users tend to accumulate unnecessary programs.





                  share|improve this answer



























                    0












                    0








                    0







                    If your question is how to prevent R from crashing when it reaches the memory limit rather than figuring out why memory_limit() does not work, here are a few options.



                    If memory_limit()
                    does not allow you to limit the memory on Windows:



                    • Check that your version of Windows matches with your version of R (not Rstudio). I.E. if you have a windows x64bits, check that Rstudio is running on R x64bits. This can be done using Sys.getenv("R_ARCH").

                    • Clean your environment with rm(list=ls()) to get rid of previously stored datasets and functions.

                    • Close Rstudio and R. Press WINDOWS + R, this opens a Run window. Write cmd and press enter. Navigate to this directory C:Program FilesRStudiobin then start rstudio.exe using cd. You may need to adapt this depending on where your RStudio folder is located on your computer. Then write --max-mem-size=4GB and press enter. You will need to repeat this every time you want to start an R session. This may not work on every computer.

                    • Most computers can handle more memory than what is previously installed. Check what is the maximum memory capacity that your computer can handle, and consider buying more physical RAM.

                    • Press Ctrl+Alt+Del and select task manager. Under Processes, check which program is using significant amounts of memory and whether you can end them safely. Windows users tend to accumulate unnecessary programs.





                    share|improve this answer















                    If your question is how to prevent R from crashing when it reaches the memory limit rather than figuring out why memory_limit() does not work, here are a few options.



                    If memory_limit()
                    does not allow you to limit the memory on Windows:



                    • Check that your version of Windows matches with your version of R (not Rstudio). I.E. if you have a windows x64bits, check that Rstudio is running on R x64bits. This can be done using Sys.getenv("R_ARCH").

                    • Clean your environment with rm(list=ls()) to get rid of previously stored datasets and functions.

                    • Close Rstudio and R. Press WINDOWS + R, this opens a Run window. Write cmd and press enter. Navigate to this directory C:Program FilesRStudiobin then start rstudio.exe using cd. You may need to adapt this depending on where your RStudio folder is located on your computer. Then write --max-mem-size=4GB and press enter. You will need to repeat this every time you want to start an R session. This may not work on every computer.

                    • Most computers can handle more memory than what is previously installed. Check what is the maximum memory capacity that your computer can handle, and consider buying more physical RAM.

                    • Press Ctrl+Alt+Del and select task manager. Under Processes, check which program is using significant amounts of memory and whether you can end them safely. Windows users tend to accumulate unnecessary programs.






                    share|improve this answer














                    share|improve this answer



                    share|improve this answer








                    edited Jul 6 '18 at 1:46

























                    answered Jul 6 '18 at 1:12









                    NakxNakx

                    432317




                    432317





















                        0














                        This works for my PC :



                         # Check memory limit
                        memory.limit()
                        # Change memory limit
                        memory.limit(size = 15000)





                        share|improve this answer



























                          0














                          This works for my PC :



                           # Check memory limit
                          memory.limit()
                          # Change memory limit
                          memory.limit(size = 15000)





                          share|improve this answer

























                            0












                            0








                            0







                            This works for my PC :



                             # Check memory limit
                            memory.limit()
                            # Change memory limit
                            memory.limit(size = 15000)





                            share|improve this answer













                            This works for my PC :



                             # Check memory limit
                            memory.limit()
                            # Change memory limit
                            memory.limit(size = 15000)






                            share|improve this answer












                            share|improve this answer



                            share|improve this answer










                            answered Feb 21 at 11:44









                            adjustedR2adjustedR2

                            1413




                            1413



























                                draft saved

                                draft discarded
















































                                Thanks for contributing an answer to Stack Overflow!


                                • Please be sure to answer the question. Provide details and share your research!

                                But avoid


                                • Asking for help, clarification, or responding to other answers.

                                • Making statements based on opinion; back them up with references or personal experience.

                                To learn more, see our tips on writing great answers.




                                draft saved


                                draft discarded














                                StackExchange.ready(
                                function ()
                                StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f23950132%2fhow-to-set-memory-limit-in-rstudio-desktop-version%23new-answer', 'question_page');

                                );

                                Post as a guest















                                Required, but never shown





















































                                Required, but never shown














                                Required, but never shown












                                Required, but never shown







                                Required, but never shown

































                                Required, but never shown














                                Required, but never shown












                                Required, but never shown







                                Required, but never shown







                                Popular posts from this blog

                                Kamusi Yaliyomo Aina za kamusi | Muundo wa kamusi | Faida za kamusi | Dhima ya picha katika kamusi | Marejeo | Tazama pia | Viungo vya nje | UrambazajiKuhusu kamusiGo-SwahiliWiki-KamusiKamusi ya Kiswahili na Kiingerezakuihariri na kuongeza habari

                                Swift 4 - func physicsWorld not invoked on collision? The Next CEO of Stack OverflowHow to call Objective-C code from Swift#ifdef replacement in the Swift language@selector() in Swift?#pragma mark in Swift?Swift for loop: for index, element in array?dispatch_after - GCD in Swift?Swift Beta performance: sorting arraysSplit a String into an array in Swift?The use of Swift 3 @objc inference in Swift 4 mode is deprecated?How to optimize UITableViewCell, because my UITableView lags

                                Access current req object everywhere in Node.js ExpressWhy are global variables considered bad practice? (node.js)Using req & res across functionsHow do I get the path to the current script with Node.js?What is Node.js' Connect, Express and “middleware”?Node.js w/ express error handling in callbackHow to access the GET parameters after “?” in Express?Modify Node.js req object parametersAccess “app” variable inside of ExpressJS/ConnectJS middleware?Node.js Express app - request objectAngular Http Module considered middleware?Session variables in ExpressJSAdd properties to the req object in expressjs with Typescript