What exactly is the session_hash? - shopify

I have a question regarding one of the shopify data elements.
During the web hook stage, I receive the orders data.
Inside this data, under the "client_details" section, there is a field called "session_hash".
I was wondering what kind of data is it (e.g. the session_id), and which hash function you use to generate it.

The session_hash variable is a secure hash of the session id we use to identify individual customers (as you correctly surmise).
You can use it to identify a particular user session, but that's about it. You can't deconstruct the hash to obtain the original session id for obvious security reasons.

Related

What kind of dynamic content is available in Eloqua?

In Eloqua, can you send out an email to a contact list but version the "hero" image headline for each segment using dynamic content blocks?
And then can you do the reverse, have the main image remain the same, and dynamically populate products below that they've purchased in the past?
For scenario 1, yes that is possible out of the box.
Scenario 2 however is a bit more complicated and would generally require a 3rd party tool to provide this type of dynamic code generation based upon a lookup table (in this case a line item inventory or purchases). Because a contact could have zero or more products (commonly as individual records in a CDO), you would generally need to aggregate or count the number of related records, and then generate your HTML table and formatting around those record values, and be contextually aware if it is the first or last record (to begin and close the table). Dynamic content does not have mathematical functions and would not be able to count those related records - this is something usually provided by a B2C system like SFMC using ampscript or dynamically generated through custom code and sent through a transactional SMTP service. You could have multiple dynamic content on top of each other, but your biggest limitation becomes the field merge, with only lets you select a record based upon earliest/last creation date, or last modified. This is not suitable if you have more than 2 records. A third party service that provides a cloud content module for your email is your best bet.

How to manage additional processed data in MarkLogic

MarkLogic 9.0.8.2
We have around 20M records in MarkLogic.
For one of the business requirement, we need to generate additional data for each xml and then need user will search this data.
As we can't change original document, so need input on what is best way to manage additional data. Following are the few which we have thought of
Create separate collection and store additional data in separate xml with same unique number i.e. same as original xml. So when user search for it, search in this collection and then retrieved original documents and send response back.
Store additional data in original document properties
We also need to create element range index to make sure it works when end user provide data in range operators.
<abc>
<xyz>
<quan>qty1</quan>
<value1>1.01325E+05</value1>
<unit>Pa</unit>
</xyz>
<xyz>
<quan>qty2</quan>
<value1>9.73E+02</value1>
<value2>1.373E+03</value2>
<unit>K</unit>
</xyz>
<xyz>
<quan>qty3</quan>
<value1>1.8E+03</value1>
<unit>s</unit>
</xyz>
<xyz>
<quan>qty4</quan>
<value1>3.6E+03</value1>
<unit>s</unit>
</xyz>
</abc>
We need to process data from value1 element. User will then search for something like
qty1 >= minvalue AND qty1<=maxvalue
qty2 >= minvalue AND qty2<=maxvalue
qty3 >= minvalue AND qty3<=maxvalue
So when user will search for qty1 then it should only get data from element where value is qty1 and so on.
So would like to know
What is best approach to store data like this
What kind of index i should create to implement this
I would recommend wrapping the original data in an envelope, which allows adding extra data in the header. It could also allow creating a canonical view on the relevant pieces of the data, and either store that as instance, and original as 'attachment' (sub-property, not an attached binary), or keep the instance as-is, and put canonical values for indexing in the header.
There is a lengthy blog article about the topic, that discusses pros and cons in high detail: https://www.marklogic.com/blog/envelope-design-pattern/
HTH!
Grtjn's answer would be the recommended solution, as it is more performant to keep all the information inside the document itself, versus having to query across both the document with the properties, but it would require changes to the document.
Option 1 & 2 could both work.
Properties documents already exist, so it doesn't add fragments, but the properties must conform to the schema.
Creating a sidecar document provides more flexibility, because you are creating new documents, it will increase number of fragments.

How to create relationships in a RESTful API

I have 2 tables, User table and User_token table, they are one to one/none relatonship, not sure how to create this RESTful API.
i prefer to setup
# to get user attributes
GET /users/123
# to get user's token
GET /users/123/token
or should i create
# to get user attributes and token by JOIN the table
GET /users/123
the argument we have here, if we are doing the first setup, which i like it, it takes thousands of API requests compare to second one
that is depend you requirement.
for example if you need User Attributes and Token every time than
# to get user attributes and token by JOIN the table
GET /users/123
is better.
other wise another approach is good to get required data when needed.
REST has nothing to do with your database structure.
Your resources can contain properties or sub-resources. Every resource has at least one resource identifier (URL).
So in your case the GET /users/123 is a valid solution.

How to design RESTful URL with many input parameters

I am working to create a Java based RESTful API that uses Spring MVC.
Now for some of the API endpoints-- multiple different parameters are required... I am not talking about a list of values-- more like parameter1, parameter2, parameter3, parameter4 and so on-- where all the 4 (or more) parameters are of different data types as well.
How do I design the API endpoint URL for the above scenario, eg for 4 separate input parameters? Is there any recommended way/best practice for doing this? Or do I simply concatenate the 4 values, with ach pair of values separated by a delimiter like "/"?
EDIT from user comment:
Example: I have to retrieve a custom object(a 'file') based on 4 input parameters--(Integer) userid, (Integer) fileid, (String) type, and (String) usertype. Should I simply create a REST Endpoint like "getfile/{userid}/{fileid}/{type}/{usertype}-- or is there a better (or recommended way) to construct such REST endpoints?
In REST start by thinking about the resource and coming up with immutable permalinks (doesn't change)to identify that resource.
So, in your example (in comment), you said you want to retrieve a file resource for a user and type (file type or user type?)
So, start with just enough information to identify the resource. If the id is unique, then this is enough to identify the resource regardless of the user who owns the file:
/files/{fileId}
That's also important as the url if a file could change owners - remember we want to identify the resource with just the components needed so it can be a permalink.
You could also list the files for a specific user:
/users/{userId}/files/
The response would contain a list of files and each of those items in the list would contain links to the files (/files/{fileId})
If for some reason the file id is not unique but is unique only in the context of a user (files don't change owners and id increments within a user - wierd) then you would need these components to identify the resource:
/users/{userId}/files/{fileId}
Also note the order based on the description. In that wierd case, we said the files are logically contained and IDed by the user and that's also the containment in the url structure.
Hope that helps.
A GET request to file/{usertype}/{user}/{type}/{fileid} sounds good

Redis - handling changes to data structures

I have been experimenting with Redis, and I really like the scalability that it brings to the table. However, I'm wondering how to handle changes to data structures for a system that's already in production.
For example, let me say that I am collecting information about a user, and I use the user_id as a key, and dumping the other data about the user as comma separated values.
user_id: name, email, etc.
Now, say after about 100,000 records, I realise that I needed to query by email - how would I now take a snapshot of the existing data and create a new index for it?
Using csv is not a great idea if you want to support changes. You need to use a serializer that handles missing/new values if everything is in one key, or you can use a redis hash, which gives you named subkeys. Either way you can add/remove fields with the only requirement being that your code knows what to do if it reads a record without the new value.
To allow lookup by email you need to add an index - basically a key (or list) for each email with the user id as the value. You will need to populate this index by getting all keys once, then making sure you update it when emails change.
You could iterate over all keys and store them with a different id, but that is probably more trouble than it is worth.
From my understanding of Redis, this would require something which Redis is not designed to do. You would have to loop though all your records (using keys *) and then change the order of the data and make a new key. I, personally, would recommend using a list instead of a comma separated string. In a list, you can reorder it from inside redis. A Redis List looks like the following:
"Colum" => [0] c.mcgaley#gmail.com
[1] password
[2] Something
I am building an app in which I encountered the same problem. I solved it by having a list for all the user's info, and then have a key with the user's email with a value of the user's id. So my database would something like this:
"Colum" => [0] c.mcgaley#gmail.com
[1] password
[2] Something
"c.mcgaley#gmail.com" => "Colum"
So I could query the ID or the Email and still get the information I needed.
Sorry that I was not able to directly answer your question. Just hope this helped.