commerce | Next.js Commerce | Ecommerce library

In spring boot, pages are searched under "templates" folder and resources are mapped under "static" folder by default. To access an image file under static folder, try

The following works with the posted data examples but it uses two joins and is probably ineffective for larger data sets.

It certainly is possible to apply Pure DI to a Razor application, but not through IRazorPageActivator but through the IComponentActivator abstraction. Here's an example based on the default Visual Studio (2019) Razor project template. Since that template builds around a weather forecast domain, let's use that for the example.

Let's start with the custom IComponentActivator, which acts as your Composer, which is part of your Composition Root.

Solved the problem using UpdateRecord without adding to upstream ValidateCSV.

In controller services, CSVReader and CSVRecordSetWriter were modified as follows:

• Changed property Schema Access Strategy of processor CSVReader to User String Fields From Header
• Changed all properties to the default of processor CSVRecordSetWriter

Here are the test results:

• In GenerateFlowFile, the following text to change to format yyyyMMddHmmss was made into csv

• NiFi expressions to be modified in UpdateRecord

• CSVRecordSetWriter left the default setting and set CSVReader as follows

• After completing the above setting, the value may be converted without an error

Searched to see the file in the error log and found the cause. It seemed to be inferred as type string, but it was type float, resulting in the above error.

Thank you for your comments. @VikramsinhShinde @Sdairs

Swagger2's usage seems to require (or at least often includes) the concept of a Docket api via an instantiation such as new Docket() or new Docket(DocumentationType.SWAGGER_2). I don't see that in your code snippets, so wonder if that may be one issue.

Per the swagger docs, Docket is Springfox’s primary api configuration mechanism.

Specifically, this section regarding configuration may be helpful. Note the Docket instantiation:

You can use Conditional (ternary) operator.

Syntax: condition ? exprIfTrue : exprIfFalse

Try Promise.all

When you initialize cart in the App state, it is an empty object {}. That is passed down as a prop to Checkout.

As soon as Checkout mounts, it calls generateCheckoutToken, which tries to read cart.line_items.length. If this happens before fetchCart is called in the parent, cart is an empty object with no line_items to count. It's a race condition.

One solution would be to listen for cart to change in the useEffect, and only call generateCheckoutToken when cart has line_items. This might not support your future design goals, but it should resolve this error.

First of all, storing ["a", "ap", "app", "appl", "apple"] into an array and performing an whereArrayContains() query, doesn't sound like a feasible idea. Why? Imagine you have a really big online shop with 100k products, in which 5k start with "a". Are you willing to pay 5k reads every time a user types "a"? That's a very costly feature.

Most likely you should return the corresponding documents when the user types, for example, two, or even three characters. You'll reduce costs enormously. Or you might take into consideration using the solution I have explained in the following article:

• How to filter Firestore data cheaper?

Let's go forward.

For example, in every case, the documents that would be returned on each successive call where an additional letter was typed would be a subset of what was returned in the previous call, it would just be a smaller list of documents.

Yes, that's correct.

My question is since the documents retrieved on a successive query are a subset of those retrieved in a prior query, would I be charged reads based on how many documents each successive query returns?

Yes. You'll always be charged with a number of reads that is equal to the number of documents that are returned by your query. It doesn't matter if a query was previously performed, or not. Every time you perform a new query, you'll be charged with a number of reads that is equal to the number of documents you get.

For example, let's assume you perform this query: