Is it possible to edit the thesaurus XML file for SQL Server on AWS RDS ?
I tried to find solutions but was unable to come co any conclusion.
Any help ?
I don't think this is possible. The thesaurus is stored in the file system and obviously we do not have access to the filesystem with RDS.
Related
I'm trying to use Apache Flink's Table concept in one of my projects to combine data from multiple sources in real-time. Unfortunately, all of my team members are Node.JS developers. So, I'm looking for possible ways to connect to Flink from NodeJS and query from it. In Flink's documentation for SQL Client, it's mentioned that
The SQL Client aims to provide an easy way of writing, debugging, and submitting table programs to a Flink cluster without a single line of Java or Scala code. The SQL Client CLI allows for retrieving and visualizing real-time results from the running distributed application on the command line.
Based on this, is there any way to connect to Flink's SQL client from NodeJS? Is there any driver already available for this like Node.JS drivers for MySQL or MSSQL. Otherwise, what are the possible ways of achieving this?
Any idea or clarity on achieving this would be greatly helpful and much appreciated.
There's currently not much that you can do. The SQL Client runs on local machines and connects to the cluster there. I think what will help you is the introduction of the Flink SQL Gateway, which is expected to be released with Flink 1.16. You can read more about that on https://cwiki.apache.org/confluence/display/FLINK/FLIP-91%3A+Support+SQL+Gateway
Another alternative is to check out some of the products that offer a FlinkSQL editor on the market, maybe that is useful path for your colleagues.
For example:
https://www.ververica.com/apache-flink-sql-on-ververica-platform
https://docs.cloudera.com/csa/1.7.0/ssb-overview/topics/csa-ssb-intro.html
Note that this is not exactly what you asked for, but could be an option to enable your team.
In order to use MongoDB on my node.js AWS EC2 instance do I simply install MongoDB and create a database within the instance via the command line after logging in via SSH?
In other words do I simply create a DB in the EC2 instance for my web app just as I would locally on my machine?
just from long (and at the beginning painful) experience with EC2 & MongoDB..here are some gotcha's.
I am assuming you are just starting off from your question - so I am going to assume a minimal setup:
If you install MongoDB on a server with access to the Internet, then make sure you also apply MongoDB roles to your DB. Do not, I repeat, do not leave it open to the world. Admin and read/write roles are critical here, and MongoDB docs will help you. BTW, even if it is totally secure behind a firewall and other such things, always use roles. They are your last line of defense.
Study and understand exactly how security groups work, in order to limit Inbound and Outbound.
If you can, use the Elastic IP. It will save you many headaches if you move servers, not the least of which is that your IP will not change.
When you gear up to a front facing Internet server, and Mongo behind it, be it with Sharding, Clusters etc. read up on the NAT gateway. It is confusing at first, but the NAT Gateway (not the NAT instance), is a decent setup in one configuration or another.
Take snapshots or complete images of your environment when you change it. This is great for backup, and also when you move to a more robust server, it will save you a great deal of work.
If you have not already, try using MongoBooster or RoboMongo. They will help you immensely with your Mongo work.
Good luck and enjoy!
The actual AWS implementation of MongoDB is DocumentDB, which from what i can tell is built on the opensource version of MongoDB version 3.6, so newer MongoDb features are/might/will not be supported.
An interesting article comparing DocumentDb with MongoDb Atlas(mongoDm cloud solution):
https://medium.com/#michaelrbock/nosql-showdown-mongodb-atlas-vs-aws-documentdb-5dfb00317ca2
In the end if you really want MongoDB on AWS my opinion is you should just install it on a EC2 machine, I've done it via DocumentDB and some mongodb commands don't work, or chose AWS own NOSQL solution DynamicDB instead, DocumentDB just seems to be up there for competition with MongoDB Atlas cloud solution or just for having some dedicated MongoDB for companies that use it and want to move to AWS.
You have different alternatives. To answer your question: yes, you can do it that way. But, there is also an official guide by Amazon to set up a MongoDB cluster on AWS.
Also, if you only need a NoSQL database, you should also check DynamoDB, developed by Amazon. That would eliminate the need of an EC2 instance for the database. For more info, check the official docs.
I've been able to create databases from Nodejs using the Pouchdb module (after opening CORS). Since I'm creating a db per user, I also need to create db specific credentials. If talking directly to CouchDB, I'd use their APIS for: set_permissions or generate_api_key, however as I'm leveraging Pouchdb for all my Couchdb interactions, I'm hoping that there is a way to do it from pouch.
I've read through all the Pouch docs and poked around the code, but to no avail, so i'm turning to StackO with the hopes that someone else might have more insight on this question :)
Thanks,
Paul
There is no way to control CouchDB permissions from PouchDB, unless you write your own plugin in PouchDB for this. How to do that here - http://pouchdb.com/api.html#plugins
Apart from that, the closest thing on operating user login and credentials in CouchDB from PouchDB is this plugin:
https://github.com/nolanlawson/pouchdb-authentication
Good luck
pouchdb-authentication is designed for use in the browser, but you can use nano to interface with CouchDB from Node. They've even got a section describing how to do authentication: https://www.npmjs.com/package/nano#using-cookie-authentication
is there any command string in unix which will provide access to oracle database. i dont want to use sqlplus command.
thanks for help...
SQLPlus has its own commands as well as being able to issue SQL and run PROCs. If Java is your thing, try SQL Developer here from Oracle - a great full-featured tool. You can also look here for open source clients - I can personally recommend SQuirreL SQL and SQL Workbench isn't bad (I've only really looked at it, YMMV).
You might also look at this question. Maybe an example of what you're trying to do might help?
HTH, Paul...
We are working for a client to redesign an existing system which basicaly deals with a lot of files.
The files(more than 5 million) are currently stored on the servers filesystem.The client wants the new system to store the file in S3.
The files also have metadata associated(name,authors name,price ,description etc.).
The search functionality is also to be redesigned.The following are the basic requirements
Full text search should be available on file descriptions.
Filtering should be possible on other attributes of files.
Also , based on the file description, the system should also be able to give recommendation for similar files.
I do not have experience with creating such solution before,so asking for help and suggestion.
I was thinking on the lines of following solutions:
Store the file meta data in MongoDB ,and use the search functionality (http://www.mongodb.org/display/DOCS/Full+Text+Search+in+Mongo)
Use Amazon DynamoDB.It provides api to scan/query the dataset.
Use Lucene/Solr(I havent worked with these yet,I still need to look deeper)
There was this project that I found,that is very similar to what I require
http://www.thriftdb.com - On the home page it says its a datastore with search builtin.
Please let me know if this question should be a community wiki.
Thanks in advance.
You're in luck, announced today:
http://aws.amazon.com/about-aws/whats-new/2012/04/11/aws-announces-cloudsearch/
About searching files and filtering by attributes, the best would be Sphinx Search Engine which is used in filestube (google was using it also years ago).
I dont know if it will work on amazon servers.
Amazon has a custom AMI for Lucene/Solr and we have been happily using it in our projects. Lucene has a powerful indexing capability and executes at exceptional speeds. I would strongly recommend using Apache Lucene/Solr for all your search needs.