Docker
As I stated in the previous post, the next step here was to setup databases. I spent time attempting to have sqlite work in this situation, but ran into issues with buildapi connecting to the sqlite databases. Rather than chase that rabbithole, I doublechecked the configuration in production buildapi and was reminded by the configs that production is running mysql. So I went ahead and did so. This setup required adding the following to the Dockerfile:
RUN apt-get install -y mysql-server
RUN chown mysql.mysql /var/run/mysqld/
RUN mysql_install_db # Installs mysql database schemas
RUN /usr/bin/mysqld_safe &
After this, everything was peachy except for the sql schemas available in the current buildapi repo. Those schemas are for sqlite, so I dumped my own mysql schemas for use here, and loaded them with the following commands:
mysql
mysql
I went ahead and submitted a patch to add the mysql specific schemas to the buildapi repo inBug 1007994, but for now I added the schemas in with the files in the buildapi-app directory.
I uploaded the current contents of the buildapi-app docker container and it launches with schemas all loaded and running well.
I am still having some issues verifying that selfserve-agent can execute commands from data sent to it over the amqp by buildapi. Further testing is needed to fix this issue. I am currently getting 404 error with my tests, but that might be a peripheral problem rather than selfserve-agent not getting data from the amqp.
Left to do on buildapi-app is to:
- Test that buildapi and selfserve-agent are truly connected and able to exchange over the amqp
- Test the entire buildapi application by running similar procedures that should work in my local setup
Links I found useful for this:
http://ijonas.com/devops-2/building-a-docker-based-mysql-server/

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MySQLstringtypesincludeVARCHAR,TEXT,CHAR,ENUM,andSET.1)VARCHARisversatileforvariable-lengthstringsuptoaspecifiedlimit.2)TEXTisidealforlargetextstoragewithoutadefinedlength.3)CHARisfixed-length,suitableforconsistentdatalikecodes.4)ENUMenforcesdatainte

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ToaddusersinMySQLeffectivelyandsecurely,followthesesteps:1)UsetheCREATEUSERstatementtoaddanewuser,specifyingthehostandastrongpassword.2)GrantnecessaryprivilegesusingtheGRANTstatement,adheringtotheprincipleofleastprivilege.3)Implementsecuritymeasuresl

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The best MySQLVARCHAR column length selection should be based on data analysis, consider future growth, evaluate performance impacts, and character set requirements. 1) Analyze the data to determine typical lengths; 2) Reserve future expansion space; 3) Pay attention to the impact of large lengths on performance; 4) Consider the impact of character sets on storage. Through these steps, the efficiency and scalability of the database can be optimized.


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