I have migrated my MYSQL databases to Amazon RDS. I am trying to get the data from SQL server to Amazon RDS mysql through talend. However, the jobs run very slow. A 50000 rows insertion takes an hour of time. Whereas, when I use the Talend Amazon components, tAmazonMysqlOutput, the same job completes in less than a minute
May I know what is the reason for this? If I change all my regular mysql components to Amazon mysql components would there be any issues?
Any ideas on this would be of great help
Thanks
Rathi
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I am new to Amazon RDS, and looking to get answer for my question below and couldn't find the answer on stackoverflow yet.
I have a MySQL Database on premise that I want to synchronize with the MySQL Database on Amazon RDS. I understand that replication is possible with Amazon RDS, but how about continuous synchronization? Say my existing local database has one transaction that has been made, I want to synchronize just that transaction, either immediately or by schedule, so that I don't need to replicate the whole thing to RDS.
Does RDS have this feature for MySQL or any other database?
If not, what tools should I be using? EC2 + ? ?
Or is there any database that supports this so I can just run the database on EC2?
Your best (first) option should probably be the AWS Database Migration Service. This is a migration service for exactly your use-case.
If uptime is less of an issue, you could always do a mysql_dump, move that to an EC2 instance and load that into an RDS instance.
I have a legacy SQL Server DB and I need to copy part of a very very big table on it over to a new Aurora DB cluster from AWS (RDS).
The old table in SQL server has 1.8 billion records and 43 columns, however in the new DB I will only have 13 of those columns carried over and almost all rows.
I was wondering if anyone has any ideas on the best way that I can move this data across?
I wrote a simple Python script to query the SQL server and then execute insert statements on the new DB but I estimate this would take about 30 hours to run after I did some tests on smaller sets of data.
Any ideas?
P.S Aurora is based off of MySQL so I would imagine if it works for MySQL it would work for Aurora.
Assuming you can get the data you want into something like a CSV file, LOAD DATA LOCAL INFILE should be pretty performant.
I did wonder whether it would be allowed on RDS and discovered an AWS article on importing data into MySQL on RDS. I couldn't find an equivalent one for Aurora, only migrating from an RDS based MySQL instance. There's an Amazon RDS for Aurora Export/Import Performance Best Practices document that has one reference to LOAD DATA LOCAL INFILE, however.
Am building a project with Django REST Framework. I'm using Amazon RDS for my MySQL database, and for some reason the wait time on my calls are always around 200ms, if I connect to a local MySQL instance the time is around 8ms.
So first I thought it must be the connection time that is the problem, so I added 'CONN_MAX_AGE':60 to my database settings. This definitely made Django not create new connections looking at "SHOW PROCESSLIST;" on the DB, and brought the time down to about 190ms.
The thing is when I make queries to the RDS database vis HeidiSQL the time is around 16ms.
Anyone have any idea what is added all that time?
I'm running two MySQL server one on production and one on staging, both are EC2 Instance.
The same way i have two MySQL RDS Instances parallel to the production and staging.
Here want i wanted to do.
I would like to mirror the production database to the development server every few hours,
for 1. backup, 2. to run new features against the latest database changes.
I didn't find much information regarding this issue, can anyone help?
Thanks.
Additional information:
i'm running nginx on linux server, with php backend.
If you are running on RDS, you have two options.
Snapshot and restore your instance. You can automate this, but the time it make take more time the larger the DB is. Your endpoint will probably change too.
Dump the database from production, reload into development.
Amazon RDS MySQL vs Amazon RDS SQLServer
I have a data size of about 30-50 GB and its all in SQL Server 2008 present in physical servers. I am thinking of moving my data to cloud and I am considering Amazon web services as a solution.
Now Amazon provides both MySQL and SQLServer and I am trying to figure out which database is the most seamlessly and efficiently supported. SQLServer in AWS is a very new service. My requirements are following :
Scalability (should be provided for both the databases)
Replication
One important thing is that recently there has been a lot of news about Oracle trying to kill MySQL . link --> http://techcrunch.com/2012/08/18/oracle-makes-more-moves-to-kill-open-source-mysql/
What would the implications of this be on Amazon MySQl service. Also besides this I dont think integration of the current db into Amazon should be a problem but how well are both db supported in Amazon. I am looking for a detailed and clear answer. Thanks!
EDIT 1 : I am still looking for a thorough answer. Does anybody have nay idea how well is SQLserver supported in AWS ?