I'm looking for some technologies to research. I'm amazed that you can go into [insert large site here]'s interface, update a setting and within seconds it's pushed out so it's live across the board. A good example of this is adwords. If you go into adwords and change a campaign those settings are stored on the server with a unique id. The ad code calls the server with that id and the information(size,colors, etc) is pulled up instantly to show the ad. How is that Google can push that out to hundreds of thousands of servers so quickly? What type of db systems are they using?
Google has published research papers for its Google File System (or "BigFiles" as it was once known) and BigTable, both of which are used extensively in their services. Those would probably make good reading, in and of themselves and because they probably cite prior art.
You might want to read how Oracle has built RAC to propagate data across many DBs: http://download.oracle.com/docs/cd/B14117_01/server.101/b10727/ha_strea.htm
I know that Facebook use peer-to-peer to push update on their server.
The first server get the update, then he send it to some others who does the same thing.. and on until the update is on all of their server!
I have been looking into similar pieces of information.
Look for "Structured Data".
Specifics: MojoDB, CouchDB.
Look for comparisions on mojodb website.
Facebook has made Cassandra (distributed database) open source. I think they and many others use it now.
Also look for Hadoop framework and Map/Reduce, as a matter of interest.
Related
I am building an app for a workshop at a conference. It will be used by the participants to input answers to a survey on their mobile devices and then these answers will be saved to a database.
I am currently looking at PostgreSQL and from what I have seen it is extremely capable of handling well over 100 expected users that I will have using the app at one time. What I haven't been able to decide conclusively is whether these 100 people all adding to the same database at once will cause any problems. I have looked into locks and understand that theres shouldn't be any conflicts when inserting into tables (which is all the users will be doing) but I just wanted to confirm before moving forward with the app.
I assume it is also important to deploy the app using a hosting service which can handle the load. I am intending to use Heroku which I have experience deploying postgreSQL databases to.
Just in case it is relevant I was intending to use Knex.js to build the database in a node backend.
Happy to provide any further information and would appreciate any input or better suggestions to look into.
Cheers,
Tim
I'm developing an app that allows to track a mobile device instantly (live) ... I need an of advice. The application must send the location to a webservice that in it's turn records the received data in a database.
What would be, in your opinion, the best way to store the location values?
I'm new in using bigdata and I'm afraid that simple sql requests wont be able to do the work properly ... I imagine if there is lot of users and each user send a request each 1sec I'll have issue with the database ...
An advice ? Thank you very much
i think you could have a look into the geospatial queries in mongo, if you chose to go ahead with mongodb.
Refer here
And here
for the design of the database would depend on the nature of the query (essentially the read and write).
Worth having a look into
Working at Cintric we landed on using elasticsearch. We process billions of location points in real time and provide advanced analytics to our users.
We started with mongoDB and ran into a lot of troubles, eventually leading to a painful migration.
Our stack currently has mobile devices dump location updates into AWS Kinesis, which are then processed by AWS Lambda handlers, and then dumped into elasticsearch. We're able to serve, process and store 300 million requests/month for only a few hundred dollars/month. Analytics for our dashboard add additional cost but for your needs I would highly recommend checking out your options on AWS.
I have a database question. I am developing an application where users sends some request and gets an answer from a vendor. I have a server receiving the request (through a rest call or a running web service, haven't decided which yet).
Whenever a new request comes in it should be logged in a database and when the vendor responds the record should be updated indicating whether it was accepted or not and stuff like that. The only reason for this storage of transactions is for reporting and logging purposes. So now that I have stated my requirement I need help from someone with more expertise in this.
What I've come up with so far is that it would be best to use a structured database since all records will have one type and the same information, so there's no need to waste space using a semi-structured database with each record containing both structure and information.
But I don't know if there are any databases that are particularly good for this kind of "create/update operations only" ?? As I said I only need to read the data perhaps once a month or so.
Any inputs are appreciated!
You can use any open source database like postgreSql as you are mostly going to do inserts and not much other features needed. My suggestion will try to put logging process in separate threads rather than the one you are using for processing to have better performance for your api calls.
I'm developing a application with a lot of create/update queries and currently using Neo4j.
It's fast and really good with j2E and php. NoSQL is really fast to learn with it, and the web interface is really user friendly :)
I am not sure if I should be posting this question here or over at ServerFault so apologies if it is in the wrong place.
I have a small web app that is starting to get some more business.
Currently I have a single dedicated LAMP server for this, and this has worked well - the single server is able to handle all of our traffic.
However... Recently I have been approached by some potential customers who are interested in using the app, but only if their data can be stored on a server in the same province as they are (legal reasons).
I could migrate the server, but I am reluctant to do this. I like where it is now.
So, I am wondering what is involved in having multiple servers in physically separate datacentres far apart, running the same web app? Data between the servers would not need to stay synced, necessarily.
I have never done anything like this before, and am not sure how complicated a job it is. Any suggestions on how and where to start looking into this would be much appreciated.
Thanks (in advance) for your advice.
As long as each customer has their own set of data you can just install another copy of the application in the other datacenter. It will require you to get some structure to your source control and deployment process, but it works. This option will give you two separate databases.
If you have to have one common database for all the customers (e.g. some kind of booking/reservation system of common resources) then you're up to a completely other level of complexity with replicating databases etc. It's doable, but it's hard.
I am building out a solution that will be deployed in multiple data centers in multiple regions around the world, with each data center having a replicated copy of data actively updated in each region. I will have a combination of multiple databases and file systems in each data center, the state of which must be kept consistent (within a data center). These multiple repositories will be fronted by a SOA service tier.
I can tolerate some latency in the replication, and need to allow for regions to be off-line, and then catch up later.
Given the multiple back end repositories of data, I can't easily rely on independent replication solutions for each one to maintain a consistent state. I am thus lead to implementing replication at the application layer -- by replicating the SOA requests in some manner. I'll need to make sure that replication loops don't occur, and that last writer conditions are sorted out correctly.
In your experience, what is the best pattern for solving this problem, and are there good products (free or otherwise) that should be investigated?
Lotus/ Domino is your answer. I've been working with it for ten years and its exactly what you need. It may not be trendy (a perception that I would challenge) but its powerful, adaptable and very secure, The latest version R8 is the best yet.
You should definitely consider IBM Lotus Domino. A Lotus Notes database can replicate between sites on a predefined schedule. The replicate in Notes/Domino is definitely a very powerful feature and enables for full replication of data between sites. Even if a server is unavailable the next time it connects it will simply replicate and get back in sync.
As far as SOA Service tier you could then use Domino Designer to write a webservice. Since Notes/Domino 7.5.x (I believe) Domino has been able to provision and consume webservices.
AS what other advised, I will recommend also Lotus Notes/Domino. 8.5 is really very powerful application development platfrom
You dont give enough specifics to be certain of your needs but I think you should check out SQL Server Merge replication. It allows for asynchronous replication of multiple databases with full conflict resolution. You will need to designate a Global master and all the other databases will replicate to that one, but all the database instances are fully functional (read/write) and so you can schedule replication at whatever intervals suit you. If any region goes offline they can catch up later with no issues - if the master goes offline everyone will work independantly until replication can resume.
I would be interested to know of other solutions this flexible (apart from Lotus Notes/Domino of course which is not very trendy these days).
I think that your answer is going to have to be based on a pub/sub architecture. I am assuming that you have reliable messaging between your data centers so that you can rely on published updates being received eventually. If all of your access to the data repositories is via service you can add an event notification to the orchestration of each of your update services that notifies all interested data centers of the event. Ideally the master database is the only one that sends out these updates. If the master database is the only one sending the updates you can exclude routing the notifications to the node that generated them in the first place thus avoiding update loops.