Recently, we announced the new Database Migration Service (DMS) to make it easier to migrate databases to Google Cloud. DMS is an easy-to-use, serverless migration tool that provides minimal downtime database migration to Cloud SQL for MySQL (Preview) and Cloud SQL for PostgreSQL (available in Preview by request).
In this post, we’ll cover some of the tasks you need to take to prepare your MySQL database for migration with DMS.
When we talk about migrations, usually we either do an offline migration, or a minimal downtime migration using continuous data replication. With Database Migration Service (DMS) for MySQL, you can do both! You have an option for one-time migration or continuous migration.
#google cloud platform #mysql
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MySQL is the all-time number one open source database in the world, and a staple in RDBMS space. DigitalOcean is quickly building its reputation as the developers cloud by providing an affordable, flexible and easy to use cloud platform for developers to work with. MySQL on DigitalOcean is a natural fit, but what’s the best way to deploy your cloud database? In this post, we are going to compare the top two providers, DigitalOcean Managed Databases for MySQL vs. ScaleGrid MySQL hosting on DigitalOcean.
At a glance – TLDR
ScaleGrid Blog - At a glance overview - 1st pointCompare Throughput
ScaleGrid averages almost 40% higher throughput over DigitalOcean for MySQL, with up to 46% higher throughput in write-intensive workloads. Read now
ScaleGrid Blog - At a glance overview - 2nd pointCompare Latency
On average, ScaleGrid achieves almost 30% lower latency over DigitalOcean for the same deployment configurations. Read now
ScaleGrid Blog - At a glance overview - 3rd pointCompare Pricing
ScaleGrid provides 30% more storage on average vs. DigitalOcean for MySQL at the same affordable price. Read now
MySQL DigitalOcean Performance Benchmark
In this benchmark, we compare equivalent plan sizes between ScaleGrid MySQL on DigitalOcean and DigitalOcean Managed Databases for MySQL. We are going to use a common, popular plan size using the below configurations for this performance benchmark:
ScaleGridDigitalOceanInstance TypeMedium: 4 vCPUsMedium: 4 vCPUsMySQL Version220.127.116.11.20RAM8GB8GBSSD140GB115GBDeployment TypeStandaloneStandaloneRegionSF03SF03SupportIncludedBusiness-level support included with account sizes over $500/monthMonthly Price$120$120
As you can see above, ScaleGrid and DigitalOcean offer the same plan configurations across this plan size, apart from SSD where ScaleGrid provides over 20% more storage for the same price.
To ensure the most accurate results in our performance tests, we run the benchmark four times for each comparison to find the average performance across throughput and latency over read-intensive workloads, balanced workloads, and write-intensive workloads.
In this benchmark, we measure MySQL throughput in terms of queries per second (QPS) to measure our query efficiency. To quickly summarize the results, we display read-intensive, write-intensive and balanced workload averages below for 150 threads for ScaleGrid vs. DigitalOcean MySQL:
ScaleGrid MySQL vs DigitalOcean Managed Databases - Throughput Performance Graph
For the common 150 thread comparison, ScaleGrid averages almost 40% higher throughput over DigitalOcean for MySQL, with up to 46% higher throughput in write-intensive workloads.
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A simple Boilerplate to Setup Authentication using Django-allauth, with a custom template for login and registration using
# clone the repo $ git clone https://github.com/yezz123/Django-Authentication # move to the project folder $ cd Django-Authentication
virtual environmentfor this project:
# creating pipenv environment for python 3 $ virtualenv venv # activating the pipenv environment $ cd venv/bin #windows environment you activate from Scripts folder # if you have multiple python 3 versions installed then $ source ./activate
SECRET_KEY = #random string DEBUG = #True or False ALLOWED_HOSTS = #localhost DATABASE_NAME = #database name (You can just use the default if you want to use SQLite) DATABASE_USER = #database user for postgres DATABASE_PASSWORD = #database password for postgres DATABASE_HOST = #database host for postgres DATABASE_PORT = #database port for postgres ACCOUNT_EMAIL_VERIFICATION = #mandatory or optional EMAIL_BACKEND = #email backend EMAIL_HOST = #email host EMAIL_HOST_PASSWORD = #email host password EMAIL_USE_TLS = # if your email use tls EMAIL_PORT = #email port
change all the environment variables in the
.env.sampleand don't forget to rename it to
After Setup the environment, you can run the project using the
Makefile provided in the project folder.
help: @echo "Targets:" @echo " make install" #install requirements @echo " make makemigrations" #prepare migrations @echo " make migrations" #migrate database @echo " make createsuperuser" #create superuser @echo " make run_server" #run the server @echo " make lint" #lint the code using black @echo " make test" #run the tests using Pytest
Includes preconfigured packages to kick start Django-Authentication by just setting appropriate configuration.
|django-allauth||Integrated set of Django applications addressing authentication, registration, account management as well as 3rd party (social) account authentication.|
|django-crispy-forms||django-crispy-forms provides you with a |
See how you can easily migrate your data from Amazon Aurora to MySQL Database Service. Benefit from 1100x performance increase at 1/3 the cost, right away.
You will takeaway quick steps and best practices for your database migration.
#mysql database service #mysql database #mysql
At first, we didn’t consider an auto-migrating solution because there wasn’t a lot of complexity in the migration, especially for our small databases. We’d just have to bring the application down, export the database, import it to Cloud SQL, and bring it back up. That worked for most of our applications.
But toward the end of the process, two applications remained.
Through conversations with our product team and our Google contact, we learned about the Google Cloud’s Database Migration Service (which was in private preview at the time), which provides a serverless migration experience from MySQL to Cloud SQL for MySQL with continuous data replication, at no additional cost.
#database #database service #migrate databases #migrating financial data
Migrating data between different types of databases is not a trivial task. In this article, we will compare two various tools for migrating from SQL Server to MySQL.
MySQL Workbench is a solution _from Oracle to convert various databases to MySQL. _
DBConvert and DBSync for SQL Server and MySQL are popular software tools that minimize the challenges with migrating and syncing data between on-premises SQL Server and MySQL databases and clouds.
1. In any combination (Direction), data migrations between the following databases are possible.
There are more than 50 possible directions of conversion & sync between databases supported by DBConvert tools. Check out DBConvert studio — the most enhanced database migration software that converts data between the most popular DBMS.
2. You don’t need to be a DBA or know how to write scripts to _convert databases from SQL Server to MySQL with _ DBConvert. DBConvert Applications guide you through several steps from connecting to source and destination databases to scheduling the next runs.
3. After making a copy of your source database to target DB, keep your databases in Sync with Update, Insert, and Drop synchronization features.
4. The DBSync application performs bidirectional replication between SQL Server & MySQL (where two different databases simultaneously replicate changes from each other).
In this article, we’ve covered two possible ways of migration data from Microsoft SQL Server to MySQL.
MySQL Workbench is an excellent solution to design, develop, administer MySQL databases. It also helps with database migration tasks from many databases to MySQL. But conversion from a database to MySQL is possible in ONE direction only.
DBConvert application is superior to Workbench as a database converter. It supports migration in both directions between MySQL and SQL Server. Many more on-premises and cloud databases conversion is supported. DBSync is a perfect solution to keep databases in sync after initial migration continuously.
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