Quickbase: query multiple table to fetch data in single API - api

I am looking for body format in quickbase /records/query where I can query multiple tables in single API. Right now, I have to use 4 API calls in querying 4 different tables.
Is there any way to do that in single API call?

No, Quickbase's API only supports querying a single table per call.

Related

How to loop through a table to make API call?

I have a table in my database that I need to loop through and make and API call. It's only three columns but about 300,000 rows. I need to grab all three columns and pass it in the requests.get() call.
Is there a way of doing that without putting into an RDD? Or if putting it into an RDD is the only way, how can it be done? Sorry a bit new to spark so I'm working on my own.

Efficient SQL table merge and paginate

I have 5 distinct tables namely:
deposits
withdrawals
payments
transfers
exchanges
I need to merge these tables and return a paginated result from a Nodejs API to clients. I don't know how to do this efficiently, given that the tables are really big(>100K rows each).
I was thinking of 2 approaches that I can take.
Stream individual query results from each table to the node js backend and implements some merging logic there.
OR
Somehow perform the merging at DB level, by creating some sort of virtual table or some persisted view, and perform a query on that.
What do you guys think?
Thank you for your time!
If you plan to manipulate with DB data then from my perspective the most efficient way accomplishing this would be on DB level, composing the specific SQL view or preparing advanced query leveraging combine techniques via JOIN, UNION or Sub queries. Saying above, and assuming Node.js Streaming concept, it is always good practice adopting streaming against large datasets.
const request = new sql.Request()
request.stream = true // You can set streaming differently for each request
request.query('select * from verylargetable')
If you will expect to further use this data for some other client applications, you may consider using CSV stringifier Node.js package, converting SQL output data into CSV text format.
it is difficult to provide a solution without knowing the structure of tables. You can use a view created by using INNER JOIN and use that view to select the attributes to return data to API requests Or U can Directly use INNER JOIN to return data. Return Data using procedure.

Can I query DynamoDB with multiple LSIs?

I have a class named Person with three LSIs: age, job_title and years_of_experience. Is it possible for me to query with conditions on all three LSIs at the same time? Thanks!
No, not directly via the DynamoDB API.
You would need to query them all and union the results, and you could also use a QueryFilter to filter on the keys of previously obtained results on each sequential call (though this will not decrease the required throughput, and you will still need to union the results if there are more than one)

Coldfusion ORM: Filtering and Limiting Data from Relational Tables

I'm writing a report that pulls relational data from two tables in the same database via ORM. In my case, I have a groups table and a users table. I want to get all of the users in a certain group so I take a reference to the group entity I'm interested in and get the users in that group with call to one of ColdFusion's auto-generated getter methods (getUsers):
group.getUsers();
This returns an array of User entities. Great! That's exactly what I want.
My question is:
What have I really returned here? Is this an array of ALL of the users in this group? Or does this list have a default limit on it?
Bonus questions: If there is no limit, what if there are thousands (or hundreds of thousands) of users? Will that simply take longer to return? If there is a limit, can I set the limit myself or can I perform any other type of filtering on the returned array? How would one do that?
Thanks!

Google Bigquery: How can I create a table (saving results) programatically from the web UI query interface?

We're using BigQuery via an API that seems to be mostly an interface to the Web UI Query / Results window, and I need to run a query there that creates intermediate results and then joins against them (solving the problem step-wise because BigQuery does not seem to support nested subqueries (with joins to the outer) or functions in join clauses).
I can do this in the BigQuery UI by running my first query (for the intermediate result set), getting the temp-table name from the Web UI's Query History, and running the second query joining against that, or by saving the result of the first query to a more permanent tablename in the UI.
Is there a way to, within the query, tell BigQuery to save the output to a table - a syntactic equivalent of the destinationTable attributes in the python query configuration, for example?
No. In the BigQuery UI there is no way to set destination table's attributes from within query!
Rather I suggest you to post question specific to your issue with "nested" query, so we can solve it