I know it is better to convert xml to json to store it in CosmosDb especially to query documents using SQL API. But will it be OK to flatten xml data to store it inside of a document then query them using SQL API? Not even sure if SQL API support xml query or not.
The simple answer is NO :(
The CosmosDB is stores JSON documents:
https://learn.microsoft.com/en-us/azure/cosmos-db/introduction
Depending the choosen API, you can handle these JSON documents in graph model (Gramlin), or in document collection (MongoDb, DocumentDB). Or SQL etc... But the result is always an JSON document.
But there are a lot of tools to convert XML to JSON and convert back. Here is a discussion about it:
How to convert JSON to XML or XML to JSON?
I hope it helps.
Regards
gy
Per my knowledge, it is not possible. More information for your reference: Query Azure Cosmos DB data with SQL queries
Related
hello I would like to know if it is possible to store data in a database with GraphQL using python without going through mongodb or sql?
Yes. GraphQL doesn't care about the underlying database. You can connect to a csv file, a JSON file, a REST interface whatever.
I know this is possible with Rest but would like to know if there is any way to upload Documents that are valid JSON only without the need to deserialize them and provide an object?
This is purely a performance optimization. Our SQL query returns the object as JSON and would prefer not to have to deserialize it in .Net consuming resources to be able to upload to Azure Search.
After thinking through using a custom JsonConverter scenario where I store a string and retrieve it, I have dismissed that option as probably not worth while.
No, the SDK does not support this scenario. You'd be better off writing a simple client to send your JSON to the REST API directly.
I was trying to understand if there is any feature available that would allow you to export the API query results to formats such as csv, xls, etc. But i did not find it. So i wonder if i am missing something, but the requirement would be to be able to easily export the results of a given query that i execute against my API hosted in API Management. Thanks
Only /reports API support returning results in format other than JSON and only in CSV.
I have a very large document store - about 50 million JSON docs, with 50m more added per year. Each is about 10K. I would like to store them in a cloud storage and retrieve them via a couple structured metadata indices that I would update as I add documents to the store.
It looks like AWS S3, Google Cloud Storage and Azure allow custom metadata to be returned with an object, but not used as part of a GET request to filter a collection of objects.
Is there a good solution "out-of-the-box" for this? I can't find any, but it seems like my use case shouldn't be really unusual. I don't need to query by document attributes or to return partial documents, I just need to GET a collection of documents by filtering on a handful of metadata fields.
The AWS SimpleDB page mentions "Indexing Amazon S3 Object Metadata" as a use case, and links to a library that hasn't been updated since 2009.
They are simply saying that you can store and query the metadata in amazon simple DB which is a NoSQL database provided by amazon for you. Depending on the kind of metadata you have, you could also store it in an RDBMS. Few 100 million rows isn’t too much if you create the proper indices and you can store URLs or file names, to access the files stored on S3, Azure, … afterwards.
I am new to couchDB but have a good experience working with relational databases. Can anyone tell how to connect to couchDB database and retrieve the data stored in it. I am giving an example in relational database and i need help regarding how to do similar task in couchDB.In mysql we use a connector to get connected to the database and the for example we give "select username from tablename where password="abc" ".
CouchDB talks HTTP and JSON, then you can use any HTTP client and JSON parser/generator. You can find a nice introduction in The Definitive Guide.
Try this URL: http://localhost:5984/_utils/, it will open FUTON editor.
CouchDB is a NOSQL database. So it works using HTTP requests (url based). Data that is stored in couchDB is in the form of JSON documents, so there is no concept of tables. In short, database in SQL represent database in couchDB and the rows in a table of SQL represent Documents in couchDB.
Coming back to your question, to retrieve data from couchDB, there is a concept called views which uses Map and Reduce functions (which are JavaScript functions). Using these views couchDB indexes your search function spanning through the complete database (includes all documents), so you need to write a Map function specifying the condition to be used to search. Here's an example -
function(doc) {
if (doc.password) {
emit(doc.username, doc);
}
}
The above example is a simple Map function. Search for the documents of the database where there is a password and return the usernames from all the documents in the database. Password input value (in this case "abc") should be specified in the query string that you will be sending out to couchDB URL. Now, you might ask where is the database specified to search for? I said that we have to create views in order to search. These views are stored in that particular database where you want to search. So, if you want to search a database with name "User_Credentials", then create a view in the "User_Credentials" with the above Map function. More details on how it can be done can be found here: CouchDB Guide to Views