Huge static (mysql) database in docker





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I am developing an application and try to implement the microservice architecture. For information about locations (cities, zip codes, etc.) I downloaded a database dump for mysql from opengeodb.org.



Now I want to provide the database as a docker container.
I set up a mysql image with following Dockerfile as mentioned in the docs for the mysql image:



FROM mysql
ENV MYSQL_ROOT_PASSWORD=mypassword
ENV MYSQL_DATABASE geodb
WORKDIR /docker-entrypoint-initdb.d
ADD ${PWD}/sql .
EXPOSE 3306


The "sql"-folder contains sql scripts with the raw data as insert statements, so it creates the whole database.The problem is, that the database is really huge and it takes really long to set it up.



So I thought, maybe there is a possibility to save the created database inside an image, because it is an static database for read-only operations only.



I am fairly new to docker and not quite sure how to achieve this.



I'm using docker on a Windows 10 machine.



EDIT:
I achieved my goal by doing the following:




  1. I added the sql dump file as described above.

  2. I ran the container and built the whole database with a local directory (the 'data' folder) mounted to /var/lib/mysql.


  3. Then stopped the container and edited the Dockerfile:



    FROM mysql
    ENV MYSQL_ROOT_PASSWORD=mypassword
    ENV MYSQL_DATABASE geodb
    WORKDIR /var/lib/mysql
    COPY ${PWD}data .
    EXPOSE 3306


    So the generated Database is now beeing copied from local system into the container.












share|improve this question































    1















    I am developing an application and try to implement the microservice architecture. For information about locations (cities, zip codes, etc.) I downloaded a database dump for mysql from opengeodb.org.



    Now I want to provide the database as a docker container.
    I set up a mysql image with following Dockerfile as mentioned in the docs for the mysql image:



    FROM mysql
    ENV MYSQL_ROOT_PASSWORD=mypassword
    ENV MYSQL_DATABASE geodb
    WORKDIR /docker-entrypoint-initdb.d
    ADD ${PWD}/sql .
    EXPOSE 3306


    The "sql"-folder contains sql scripts with the raw data as insert statements, so it creates the whole database.The problem is, that the database is really huge and it takes really long to set it up.



    So I thought, maybe there is a possibility to save the created database inside an image, because it is an static database for read-only operations only.



    I am fairly new to docker and not quite sure how to achieve this.



    I'm using docker on a Windows 10 machine.



    EDIT:
    I achieved my goal by doing the following:




    1. I added the sql dump file as described above.

    2. I ran the container and built the whole database with a local directory (the 'data' folder) mounted to /var/lib/mysql.


    3. Then stopped the container and edited the Dockerfile:



      FROM mysql
      ENV MYSQL_ROOT_PASSWORD=mypassword
      ENV MYSQL_DATABASE geodb
      WORKDIR /var/lib/mysql
      COPY ${PWD}data .
      EXPOSE 3306


      So the generated Database is now beeing copied from local system into the container.












    share|improve this question



























      1












      1








      1


      2






      I am developing an application and try to implement the microservice architecture. For information about locations (cities, zip codes, etc.) I downloaded a database dump for mysql from opengeodb.org.



      Now I want to provide the database as a docker container.
      I set up a mysql image with following Dockerfile as mentioned in the docs for the mysql image:



      FROM mysql
      ENV MYSQL_ROOT_PASSWORD=mypassword
      ENV MYSQL_DATABASE geodb
      WORKDIR /docker-entrypoint-initdb.d
      ADD ${PWD}/sql .
      EXPOSE 3306


      The "sql"-folder contains sql scripts with the raw data as insert statements, so it creates the whole database.The problem is, that the database is really huge and it takes really long to set it up.



      So I thought, maybe there is a possibility to save the created database inside an image, because it is an static database for read-only operations only.



      I am fairly new to docker and not quite sure how to achieve this.



      I'm using docker on a Windows 10 machine.



      EDIT:
      I achieved my goal by doing the following:




      1. I added the sql dump file as described above.

      2. I ran the container and built the whole database with a local directory (the 'data' folder) mounted to /var/lib/mysql.


      3. Then stopped the container and edited the Dockerfile:



        FROM mysql
        ENV MYSQL_ROOT_PASSWORD=mypassword
        ENV MYSQL_DATABASE geodb
        WORKDIR /var/lib/mysql
        COPY ${PWD}data .
        EXPOSE 3306


        So the generated Database is now beeing copied from local system into the container.












      share|improve this question
















      I am developing an application and try to implement the microservice architecture. For information about locations (cities, zip codes, etc.) I downloaded a database dump for mysql from opengeodb.org.



      Now I want to provide the database as a docker container.
      I set up a mysql image with following Dockerfile as mentioned in the docs for the mysql image:



      FROM mysql
      ENV MYSQL_ROOT_PASSWORD=mypassword
      ENV MYSQL_DATABASE geodb
      WORKDIR /docker-entrypoint-initdb.d
      ADD ${PWD}/sql .
      EXPOSE 3306


      The "sql"-folder contains sql scripts with the raw data as insert statements, so it creates the whole database.The problem is, that the database is really huge and it takes really long to set it up.



      So I thought, maybe there is a possibility to save the created database inside an image, because it is an static database for read-only operations only.



      I am fairly new to docker and not quite sure how to achieve this.



      I'm using docker on a Windows 10 machine.



      EDIT:
      I achieved my goal by doing the following:




      1. I added the sql dump file as described above.

      2. I ran the container and built the whole database with a local directory (the 'data' folder) mounted to /var/lib/mysql.


      3. Then stopped the container and edited the Dockerfile:



        FROM mysql
        ENV MYSQL_ROOT_PASSWORD=mypassword
        ENV MYSQL_DATABASE geodb
        WORKDIR /var/lib/mysql
        COPY ${PWD}data .
        EXPOSE 3306


        So the generated Database is now beeing copied from local system into the container.









      mysql docker dockerfile






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 25 '18 at 14:28







      Ragnar

















      asked Nov 25 '18 at 10:55









      RagnarRagnar

      105




      105
























          2 Answers
          2






          active

          oldest

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          0














          You could create a volume with your container to persist the database on your local machine. When you first create the container, the SQL in /docker-entrypoint-initdb.d will be executed, and the changes will be stored to the volume. Next time you start the container, MySQL will see that the schema already exists and it won't run the scripts again.



          https://docs.docker.com/storage/volumes/






          share|improve this answer
























          • So I could first let it create the database from the dump file, storing it in my mounted folder and then after the creation has finished just ADD the files within the Dockerfile, so it never has to recreate the database...

            – Ragnar
            Nov 25 '18 at 11:21











          • No, you don't need to mount a folder. Just create a named volume (with the -v flag) when you create your container, and ADD the files as usual.

            – linguamachina
            Nov 25 '18 at 11:24











          • Okay I understand. I thought of a portable image of the whole database, so when i run the image on any other machine it has the whole database ready. When i'm using the -v flag the database is only stored inside docker on my machine. Please correct me, if i'm wrong. :-)

            – Ragnar
            Nov 25 '18 at 11:31











          • @Ragnar you're right. However, you can transfer volumes to other machines - the process isn't straightforward, but it can be done (although I never have, so I can't help you there)

            – linguamachina
            Nov 25 '18 at 11:35











          • Thanks! I didn't know that.

            – Ragnar
            Nov 25 '18 at 11:42



















          0














          In principle you could achieve it like this:




          1. start the container

          2. load the database

          3. perform a docker commit to build an image of the current state of the container.


          The other option would be to load in the database during the image build time, but for this you would have to start mysql similarly to how it's done in the entrypoint script.




          1. start mysql in background

          2. wait for it to initialize

          3. load in the data using mysql < sql file






          share|improve this answer
























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            2 Answers
            2






            active

            oldest

            votes








            2 Answers
            2






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            0














            You could create a volume with your container to persist the database on your local machine. When you first create the container, the SQL in /docker-entrypoint-initdb.d will be executed, and the changes will be stored to the volume. Next time you start the container, MySQL will see that the schema already exists and it won't run the scripts again.



            https://docs.docker.com/storage/volumes/






            share|improve this answer
























            • So I could first let it create the database from the dump file, storing it in my mounted folder and then after the creation has finished just ADD the files within the Dockerfile, so it never has to recreate the database...

              – Ragnar
              Nov 25 '18 at 11:21











            • No, you don't need to mount a folder. Just create a named volume (with the -v flag) when you create your container, and ADD the files as usual.

              – linguamachina
              Nov 25 '18 at 11:24











            • Okay I understand. I thought of a portable image of the whole database, so when i run the image on any other machine it has the whole database ready. When i'm using the -v flag the database is only stored inside docker on my machine. Please correct me, if i'm wrong. :-)

              – Ragnar
              Nov 25 '18 at 11:31











            • @Ragnar you're right. However, you can transfer volumes to other machines - the process isn't straightforward, but it can be done (although I never have, so I can't help you there)

              – linguamachina
              Nov 25 '18 at 11:35











            • Thanks! I didn't know that.

              – Ragnar
              Nov 25 '18 at 11:42
















            0














            You could create a volume with your container to persist the database on your local machine. When you first create the container, the SQL in /docker-entrypoint-initdb.d will be executed, and the changes will be stored to the volume. Next time you start the container, MySQL will see that the schema already exists and it won't run the scripts again.



            https://docs.docker.com/storage/volumes/






            share|improve this answer
























            • So I could first let it create the database from the dump file, storing it in my mounted folder and then after the creation has finished just ADD the files within the Dockerfile, so it never has to recreate the database...

              – Ragnar
              Nov 25 '18 at 11:21











            • No, you don't need to mount a folder. Just create a named volume (with the -v flag) when you create your container, and ADD the files as usual.

              – linguamachina
              Nov 25 '18 at 11:24











            • Okay I understand. I thought of a portable image of the whole database, so when i run the image on any other machine it has the whole database ready. When i'm using the -v flag the database is only stored inside docker on my machine. Please correct me, if i'm wrong. :-)

              – Ragnar
              Nov 25 '18 at 11:31











            • @Ragnar you're right. However, you can transfer volumes to other machines - the process isn't straightforward, but it can be done (although I never have, so I can't help you there)

              – linguamachina
              Nov 25 '18 at 11:35











            • Thanks! I didn't know that.

              – Ragnar
              Nov 25 '18 at 11:42














            0












            0








            0







            You could create a volume with your container to persist the database on your local machine. When you first create the container, the SQL in /docker-entrypoint-initdb.d will be executed, and the changes will be stored to the volume. Next time you start the container, MySQL will see that the schema already exists and it won't run the scripts again.



            https://docs.docker.com/storage/volumes/






            share|improve this answer













            You could create a volume with your container to persist the database on your local machine. When you first create the container, the SQL in /docker-entrypoint-initdb.d will be executed, and the changes will be stored to the volume. Next time you start the container, MySQL will see that the schema already exists and it won't run the scripts again.



            https://docs.docker.com/storage/volumes/







            share|improve this answer












            share|improve this answer



            share|improve this answer










            answered Nov 25 '18 at 11:05









            linguamachinalinguamachina

            2,23411318




            2,23411318













            • So I could first let it create the database from the dump file, storing it in my mounted folder and then after the creation has finished just ADD the files within the Dockerfile, so it never has to recreate the database...

              – Ragnar
              Nov 25 '18 at 11:21











            • No, you don't need to mount a folder. Just create a named volume (with the -v flag) when you create your container, and ADD the files as usual.

              – linguamachina
              Nov 25 '18 at 11:24











            • Okay I understand. I thought of a portable image of the whole database, so when i run the image on any other machine it has the whole database ready. When i'm using the -v flag the database is only stored inside docker on my machine. Please correct me, if i'm wrong. :-)

              – Ragnar
              Nov 25 '18 at 11:31











            • @Ragnar you're right. However, you can transfer volumes to other machines - the process isn't straightforward, but it can be done (although I never have, so I can't help you there)

              – linguamachina
              Nov 25 '18 at 11:35











            • Thanks! I didn't know that.

              – Ragnar
              Nov 25 '18 at 11:42



















            • So I could first let it create the database from the dump file, storing it in my mounted folder and then after the creation has finished just ADD the files within the Dockerfile, so it never has to recreate the database...

              – Ragnar
              Nov 25 '18 at 11:21











            • No, you don't need to mount a folder. Just create a named volume (with the -v flag) when you create your container, and ADD the files as usual.

              – linguamachina
              Nov 25 '18 at 11:24











            • Okay I understand. I thought of a portable image of the whole database, so when i run the image on any other machine it has the whole database ready. When i'm using the -v flag the database is only stored inside docker on my machine. Please correct me, if i'm wrong. :-)

              – Ragnar
              Nov 25 '18 at 11:31











            • @Ragnar you're right. However, you can transfer volumes to other machines - the process isn't straightforward, but it can be done (although I never have, so I can't help you there)

              – linguamachina
              Nov 25 '18 at 11:35











            • Thanks! I didn't know that.

              – Ragnar
              Nov 25 '18 at 11:42

















            So I could first let it create the database from the dump file, storing it in my mounted folder and then after the creation has finished just ADD the files within the Dockerfile, so it never has to recreate the database...

            – Ragnar
            Nov 25 '18 at 11:21





            So I could first let it create the database from the dump file, storing it in my mounted folder and then after the creation has finished just ADD the files within the Dockerfile, so it never has to recreate the database...

            – Ragnar
            Nov 25 '18 at 11:21













            No, you don't need to mount a folder. Just create a named volume (with the -v flag) when you create your container, and ADD the files as usual.

            – linguamachina
            Nov 25 '18 at 11:24





            No, you don't need to mount a folder. Just create a named volume (with the -v flag) when you create your container, and ADD the files as usual.

            – linguamachina
            Nov 25 '18 at 11:24













            Okay I understand. I thought of a portable image of the whole database, so when i run the image on any other machine it has the whole database ready. When i'm using the -v flag the database is only stored inside docker on my machine. Please correct me, if i'm wrong. :-)

            – Ragnar
            Nov 25 '18 at 11:31





            Okay I understand. I thought of a portable image of the whole database, so when i run the image on any other machine it has the whole database ready. When i'm using the -v flag the database is only stored inside docker on my machine. Please correct me, if i'm wrong. :-)

            – Ragnar
            Nov 25 '18 at 11:31













            @Ragnar you're right. However, you can transfer volumes to other machines - the process isn't straightforward, but it can be done (although I never have, so I can't help you there)

            – linguamachina
            Nov 25 '18 at 11:35





            @Ragnar you're right. However, you can transfer volumes to other machines - the process isn't straightforward, but it can be done (although I never have, so I can't help you there)

            – linguamachina
            Nov 25 '18 at 11:35













            Thanks! I didn't know that.

            – Ragnar
            Nov 25 '18 at 11:42





            Thanks! I didn't know that.

            – Ragnar
            Nov 25 '18 at 11:42













            0














            In principle you could achieve it like this:




            1. start the container

            2. load the database

            3. perform a docker commit to build an image of the current state of the container.


            The other option would be to load in the database during the image build time, but for this you would have to start mysql similarly to how it's done in the entrypoint script.




            1. start mysql in background

            2. wait for it to initialize

            3. load in the data using mysql < sql file






            share|improve this answer




























              0














              In principle you could achieve it like this:




              1. start the container

              2. load the database

              3. perform a docker commit to build an image of the current state of the container.


              The other option would be to load in the database during the image build time, but for this you would have to start mysql similarly to how it's done in the entrypoint script.




              1. start mysql in background

              2. wait for it to initialize

              3. load in the data using mysql < sql file






              share|improve this answer


























                0












                0








                0







                In principle you could achieve it like this:




                1. start the container

                2. load the database

                3. perform a docker commit to build an image of the current state of the container.


                The other option would be to load in the database during the image build time, but for this you would have to start mysql similarly to how it's done in the entrypoint script.




                1. start mysql in background

                2. wait for it to initialize

                3. load in the data using mysql < sql file






                share|improve this answer













                In principle you could achieve it like this:




                1. start the container

                2. load the database

                3. perform a docker commit to build an image of the current state of the container.


                The other option would be to load in the database during the image build time, but for this you would have to start mysql similarly to how it's done in the entrypoint script.




                1. start mysql in background

                2. wait for it to initialize

                3. load in the data using mysql < sql file







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 25 '18 at 11:53









                Uku LoskitUku Loskit

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