


Docker: Containers for the Masses -- Yet another way to use_MySQL
Docker
Good Monday morning! Over the weekend, there was a comment to my previous post coveringusing Ansible to build Docker imagesfromMichael DeHaan, CTO and creator ofAnsible(thank you!) reminding me of his work discussed in his blog postInstalling and Building Docker with Ansiblethat is definitely worth sharing and the method I first used to build Docker images and wrotemy first rolethat will be shared in this post.
For the reader just joining, the previous posts in this series "Docker: Containers for the Masses" are:
- Introduction-- Introduction toDocker
- Installation-- Installation ofDocker
- Using Docker-- UsingDocker
- Ansible and Docker-- Using Ansible to manageDocker
- Building Docker Images using Ansible-- Using Ansible to buildDockerimages
Building Docker Images with Ansible using a Dockerfile
Michael's articledetails how to install Ansible, how to usePaul Durivage'sangstwad.dcoker_ubuntu Ansible role, also features an important-to-know way of building Docker images whereby an image is build using a Dockerfile that specifies the installation ofAnsible, checks out your playbook repository which it then runs with Ansible resulting in a built image with everything you would want on that image. This is different than in the previous post that details using Ansible to run theDockerimage-building process and is yet another example on how usingAnsibleandDockertogether is flexible and the approach to both interchangeable and each method equally valid depending on what the user requires.
Additionally, I used this methodology when I first started usingAnsibleandDockerand forked Michael's repository, adding aGalera role.
The Playbook
In addition to showing yet another way to buildDockerimages, this post will also give the reader more insight into usingAnsiblein general and show another example of what one can do with aDockerfile.
This post will detail a playbook I wrote when I forked thedocker_dna repo. In my role with the HP ATG Group, I was tasked with researching Ansible and Docker and wanted to accomplish several things: Learn Docker and Ansible as well as see if my experience -- and a [Salt][saltstack] template and methodology for setting up a Galera cluster could be easily ported toAnsible.
Directory layout
The repo, when cloned, there are thebase
,rabbitmq
,zookeeper
, andgalera
subdirectories. The last one was added by myself when I used this repo to get familiar with this methodology for buildingDockerimages. In that subdirectory
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Top-level playbook
Thedna.yml
playbook sets some variables and includesdocker-dns_galera.yml
:
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Tasks
The tasks that then are used for this role which are broken up into specific operations:
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Specifying using thedocker-dna_galera
role
docker-dna_galera.yml
in turn uses the rolescommon
anddocker-dns_galera
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Role variables
By using thedocker-dns_galera
role, the role's variables are set in the fileroles/docker-dna_galera/vars/main.yml
which contains variables used by the the templatesroles/docker-dna_galera/templates/etc/mysql/my.cnf.j2
androles/docker-dna_galera/templates/usr/bin/clustercheck.j2
, as well as some of the role's tasks.
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Top-level playbook including tasks
main.yml
includes each task in the order it needs to be run:
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Misc playbook
The first taskmisc.yml
installs vim or any other package other than thePerconapackages:
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Set the repo
Therepo.yml
task simply sets up apt to use thePerconaapt repo:
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Install the database software
Theinstall_galera.yml
task installsPercona XtraDB Clusteras well as copying a startup script into /usr/local/bin. This is somewhat historic as upstart didn't work with older versions ofDocker
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Set the database grants
Thegrants.yml
task sets the grants for the database that are needed to run a successful Galera cluster
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Configure the database
configure_galera.yml
generates/etc/mysql/my.cnf
and shuts down themysqld
process. Why shut it down? Because the container this is running on is only for building the image and just as when creating a snapshot, it makes more sense to not have a running database with open file-handles that an image is created from.
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Set up the clustercheck script forHAProxy
The last task,clustercheck.yml
, sets up the python script used byHAProxyto determine which master to use. Why not the original xinetd-based clustercheck script? The author was never able to get the xinetd-based clustercheck script working with Docker.
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Template generation
The templates for thedocker-dna_percona
role are themy.cnf.j2
jinja template which is generated as/etc/mysql/my.cnf
and transliterates the variables set in the previously-mentioned variables file. This snippet shows the Galera-specific mysql options. The cluster address is set to bootstrap. Remember that this is an image that is being built. One would need to useAnsibleto configure this value to reflect node membership state of the cluster when the containers are run that use this image as well as set different passwords.
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Dockerfile goodness
Finally, theDockerfile! This is where all the work happens.
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The aboveDockerfilespecifies using thecapttofu/docker-dna_base
image as a base. This image already has ansible and it's prerequisite libraries pre-installed and ready to use. The first event that is run in the Dockerfile is to update the apt system. Next, everything in the current repository is copied to aDockerDNA
directory in the root directory of the temporary container.
Building the image
Next, by runningdocker build .
in the same directory, the image will be built, using the pre-installed ansible, run with a l;ocal connection, in this case.
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Verifying image
When this has completed, the image,capttofu/docker-dna_base
, will be ready to use, in this case a container runningPercona XtraDB Clusterthat will need to be managed by Ansible in order to set up the galera cluster.
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Summary
This blog post showed the reader yet another way to useDockerandAnsibletogether to build Docker images by using aDockerfileto run Ansible to install packages and configure the temporary container that is being used to build the image. This provides yet another example of the flexibility of these two great applications and gives the user yet another method in their toolbox of solutions. Another side-benefit of this article was also learning how to installPercona XtraDB ClusterwithAnsible.

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Pengimbasan jadual penuh mungkin lebih cepat dalam MySQL daripada menggunakan indeks. Kes -kes tertentu termasuk: 1) jumlah data adalah kecil; 2) apabila pertanyaan mengembalikan sejumlah besar data; 3) Apabila lajur indeks tidak selektif; 4) Apabila pertanyaan kompleks. Dengan menganalisis rancangan pertanyaan, mengoptimumkan indeks, mengelakkan lebih banyak indeks dan tetap mengekalkan jadual, anda boleh membuat pilihan terbaik dalam aplikasi praktikal.

Ya, MySQL boleh dipasang pada Windows 7, dan walaupun Microsoft telah berhenti menyokong Windows 7, MySQL masih serasi dengannya. Walau bagaimanapun, perkara berikut harus diperhatikan semasa proses pemasangan: Muat turun pemasang MySQL untuk Windows. Pilih versi MySQL yang sesuai (komuniti atau perusahaan). Pilih direktori pemasangan yang sesuai dan set aksara semasa proses pemasangan. Tetapkan kata laluan pengguna root dan simpan dengan betul. Sambung ke pangkalan data untuk ujian. Perhatikan isu keserasian dan keselamatan pada Windows 7, dan disyorkan untuk menaik taraf ke sistem operasi yang disokong.

Keupayaan carian teks penuh InnoDB sangat kuat, yang dapat meningkatkan kecekapan pertanyaan pangkalan data dan keupayaan untuk memproses sejumlah besar data teks. 1) InnoDB melaksanakan carian teks penuh melalui pengindeksan terbalik, menyokong pertanyaan carian asas dan maju. 2) Gunakan perlawanan dan terhadap kata kunci untuk mencari, menyokong mod boolean dan carian frasa. 3) Kaedah pengoptimuman termasuk menggunakan teknologi segmentasi perkataan, membina semula indeks dan menyesuaikan saiz cache untuk meningkatkan prestasi dan ketepatan.

Perbezaan antara indeks clustered dan indeks bukan cluster adalah: 1. Klustered Index menyimpan baris data dalam struktur indeks, yang sesuai untuk pertanyaan oleh kunci dan julat utama. 2. Indeks Indeks yang tidak berkumpul indeks nilai utama dan penunjuk kepada baris data, dan sesuai untuk pertanyaan lajur utama bukan utama.

MySQL adalah sistem pengurusan pangkalan data sumber terbuka. 1) Buat Pangkalan Data dan Jadual: Gunakan perintah Createdatabase dan Createtable. 2) Operasi Asas: Masukkan, Kemas kini, Padam dan Pilih. 3) Operasi lanjutan: Sertai, subquery dan pemprosesan transaksi. 4) Kemahiran Debugging: Semak sintaks, jenis data dan keizinan. 5) Cadangan Pengoptimuman: Gunakan indeks, elakkan pilih* dan gunakan transaksi.

Dalam pangkalan data MySQL, hubungan antara pengguna dan pangkalan data ditakrifkan oleh kebenaran dan jadual. Pengguna mempunyai nama pengguna dan kata laluan untuk mengakses pangkalan data. Kebenaran diberikan melalui perintah geran, sementara jadual dibuat oleh perintah membuat jadual. Untuk mewujudkan hubungan antara pengguna dan pangkalan data, anda perlu membuat pangkalan data, membuat pengguna, dan kemudian memberikan kebenaran.

MySQL menyokong empat jenis indeks: B-Tree, Hash, Full-Text, dan Spatial. 1. B-Tree Index sesuai untuk carian nilai yang sama, pertanyaan dan penyortiran. 2. Indeks hash sesuai untuk carian nilai yang sama, tetapi tidak menyokong pertanyaan dan penyortiran pelbagai. 3. Indeks teks penuh digunakan untuk carian teks penuh dan sesuai untuk memproses sejumlah besar data teks. 4. Indeks spatial digunakan untuk pertanyaan data geospatial dan sesuai untuk aplikasi GIS.

MySQL dan Mariadb boleh wujud bersama, tetapi perlu dikonfigurasikan dengan berhati -hati. Kuncinya adalah untuk memperuntukkan nombor port dan direktori data yang berbeza untuk setiap pangkalan data, dan menyesuaikan parameter seperti peruntukan memori dan saiz cache. Konfigurasi sambungan, konfigurasi aplikasi, dan perbezaan versi juga perlu dipertimbangkan dan perlu diuji dengan teliti dan dirancang untuk mengelakkan perangkap. Menjalankan dua pangkalan data secara serentak boleh menyebabkan masalah prestasi dalam situasi di mana sumber terhad.
