Could there be problems in reading all the data of a 10k rows table in a single request?
It would be a read only request.
I would like to do it because I want to perform some queries on the array, and from the documentation I can’t find a way to do it directly with Pact.
No there shouldn't be. Read only queries are "free" atm.
You can do it in two ways
Do a select query which will always evaluate true
Get all the keys (i.e. unique ids in the table) via (keys your-table-name) and then have a separate method which returns data for a list of ids.
But do consider using select statements to help filter out your data during the query as this could be easier than you doing it yourself.
Pact will check arrays like any other property, but you should ask yourself the question - do you need to test all 10k records or just a representative sample of them (the answer should in most cases be the latter).
You should also consider:
Do you need to exact match? (if so, the consumer and provider must have exactly the same data - not recommended)
Can you use matchers to check the shape of the items in the array
I am working on small app the allows users to browse items based on various filters they select in the view.
After looking though, the firebase documentation I realised that the sort of compound query that I'm trying to create is not possible since Firestore only supports a single "IN" operator per query. To get around this the docs says to use multiple separate queries and then merge the results on the client side.
https://firebase.google.com/docs/firestore/query-data/queries#query_limitations
Cloud Firestore provides limited support for logical OR queries. The in, and array-contains-any operators support a logical OR of up to 10 equality (==) or array-contains conditions on a single field. For other cases, create a separate query for each OR condition and merge the query results in your app.
I can see how this would work normally but what if I only wanted to show the user ten results per page. How would I implement pagination into this since I don't want to be sending lots of results back to the user each time?
My first thought would be to paginate each separate query and then merge them but then if I'm only getting a small sample back from the db I'm not sure how I would compare and merge them with the other queries on the client side.
Any help would be much appreciated since I'm hoping I don't have to move away from firestore and start over in an SQL db.
Say you want to show 10 results on a page. You will need to get 10 results for each of the subqueries, and then merge the results client-side. You will be overreading quite a bit of data, but that's unfortunately unavoidable in such an implementation.
The (preferred) alternative is usually to find a data model that allows you to implement the use-case with a single query. It is impossible to say generically how to do that, but it typically involves adding a field for the OR condition.
Say you want to get all results where either "fieldA" is "Red" or "fieldB" is "Blue". By adding a field "fieldA_is_Red_or_fieldB_is_Blue", you could then perform a single query on that field. This may seem horribly contrived in this example, but in many use-cases it is more reasonable and may be a good way to implement your OR use-case with a single query.
You could just create a complex where
Take a look at the where property in https://www.npmjs.com/package/firebase-firestore-helper
Disclaimer: I am the creator of this library. It helps to manipulate objects in Firebase Firestore (and adds Cache)
Enjoy!
Getting a bunch of documents from a Firestore collection is best done through a query, I fully understand that. However, in certain situations where we want to get a bunch of specific documents based on their document ID from a single collection (or even spanning multiple collections), is it performant in Firestore to loop through those document IDs (whether it's 10 or 1,000) on the client and perform a getDocument() call on each one?
That's the best way to get the job done. It's also the only way, unless you want to use an "in" query to fetch in batches (which I'm told is actually slower than fetching each one individually).
We are using DynamoDB and have some complex queries that would be very easily handled using code instead of trying to write a complicated DynamoDB scan operation. Is it better to write a scan operation or just pull the minimal amount of data using a query operation (query on the hash key or a secondary index) and perform further filtering and reduction in the calling code itself? Is this considered bad practice or something that is okay to do in NoSQL?
Unfortunately, it depends.
If you have an even modestly large table a table scan is not practical.
If you have complicated query needs the best way to tackle that using DynamoDB is using Global Secondary Indexes (GSIs) to act as projections on the fields that you want. You can use techniques such as sparse indexes (creating a GSI on fields that only exist on a subset of the objects) and composite attributes keys (concatenating two or more attributes and using this as a new attribute to create a GSI on).
However, to directly address the question "Is it okay to filter using code instead of the NoSQL database?" the answer would be yes, that is an acceptable approach. The reason for performing filters in DynamoDB is not to reduce the "cost" of the query, that is actually the same, but to decrease unnecessary data transfer over the network.
The ideal solution is to use a GSI to get to reduce the scope of what is returned to as close to what you want as possible, but if it is necessary some additional filtering can be fine to eliminate some records either through a filter in DynamoDB or using your own code.
I'd like some advice on designing a REST API which will allow clients to add/remove large numbers of objects to a collection efficiently.
Via the API, clients need to be able to add items to the collection and remove items from it, as well as manipulating existing items. In many cases the client will want to make bulk updates to the collection, e.g. adding 1000 items and deleting 500 different items. It feels like the client should be able to do this in a single transaction with the server, rather than requiring 1000 separate POST requests and 500 DELETEs.
Does anyone have any info on the best practices or conventions for achieving this?
My current thinking is that one should be able to PUT an object representing the change to the collection URI, but this seems at odds with the HTTP 1.1 RFC, which seems to suggest that the data sent in a PUT request should be interpreted independently from the data already present at the URI. This implies that the client would have to send a complete description of the new state of the collection in one go, which may well be very much larger than the change, or even be more than the client would know when they make the request.
Obviously, I'd be happy to deviate from the RFC if necessary but would prefer to do this in a conventional way if such a convention exists.
You might want to think of the change task as a resource in itself. So you're really PUT-ing a single object, which is a Bulk Data Update object. Maybe it's got a name, owner, and big blob of CSV, XML, etc. that needs to be parsed and executed. In the case of CSV you might want to also identify what type of objects are represented in the CSV data.
List jobs, add a job, view the status of a job, update a job (probably in order to start/stop it), delete a job (stopping it if it's running) etc. Those operations map easily onto a REST API design.
Once you have this in place, you can easily add different data types that your bulk data updater can handle, maybe even mixed together in the same task. There's no need to have this same API duplicated all over your app for each type of thing you want to import, in other words.
This also lends itself very easily to a background-task implementation. In that case you probably want to add fields to the individual task objects that allow the API client to specify how they want to be notified (a URL they want you to GET when it's done, or send them an e-mail, etc.).
Yes, PUT creates/overwrites, but does not partially update.
If you need partial update semantics, use PATCH. See http://greenbytes.de/tech/webdav/draft-dusseault-http-patch-14.html.
You should use AtomPub. It is specifically designed for managing collections via HTTP. There might even be an implementation for your language of choice.
For the POSTs, at least, it seems like you should be able to POST to a list URL and have the body of the request contain a list of new resources instead of a single new resource.
As far as I understand it, REST means REpresentational State Transfer, so you should transfer the state from client to server.
If that means too much data going back and forth, perhaps you need to change your representation. A collectionChange structure would work, with a series of deletions (by id) and additions (with embedded full xml Representations), POSTed to a handling interface URL. The interface implementation can choose its own method for deletions and additions server-side.
The purest version would probably be to define the items by URL, and the collection contain a series of URLs. The new collection can be PUT after changes by the client, followed by a series of PUTs of the items being added, and perhaps a series of deletions if you want to actually remove the items from the server rather than just remove them from that list.
You could introduce meta-representation of existing collection elements that don't need their entire state transfered, so in some abstract code your update could look like this:
{existing elements 1-100}
{new element foo with values "bar", "baz"}
{existing element 105}
{new element foobar with values "bar", "foo"}
{existing elements 110-200}
Adding (and modifying) elements is done by defining their values, deleting elements is done by not mentioning it the new collection and reordering elements is done by specifying the new order (if order is stored at all).
This way you can easily represent the entire new collection without having to re-transmit the entire content. Using a If-Unmodified-Since header makes sure that your idea of the content indeed matches the servers idea (so that you don't accidentally remove elements that you simply didn't know about when the request was submitted).
Best way is :
Pass Only Id Array of Deletable Objects from Front End Application To Web API
2. Then You have Two Options:
2.1 Web API Way : Find All Collections/Entities using Id arrays and Delete in API , but you need to take care of Dependant entities like Foreign Key Relational Table Data too
2.2. Database Way : Pass Ids to your database side, find all records in Foreign Key Tables and Primary Key Tables and Delete in same order i.e. F-Key Table records then P-Key Table records