I'm new to Salesforce and do not have any coding experience. I've been so impressed with SF that I'm now on a mission to learn APEX. In order to learn APEX, I need to learn java. So after struggling to create triggers - and to make since of code examples out there - I signed up for an intro java CS class through iTunesU (free - from Stanford).
I could be a hero with a friend at work if I can make a simple trigger work though. Any help is greatly appreciated.
A workflow rule fills out a formula field with DATETIME data on a contact once a picklist value is saved on the contact record.
This picklist will only show for one day b/c of a promo at work.
How can I design a trigger to rank order the DATETIME field (earliest time = 1, next time = 2, etc.) and insert the rank into another SF a Field on the same contact?
I will not have to worry about any bulk loading issues. Two users could possibly hit save at the same time on a contact. I know I will need a test case to get this into production but I will worry about that later!
I found this which I think is a good start?
How to sort list items for Date field value (Apex, Salesforce)
Here is a another example that deals with sorting a list by alphabetical order: https://stackoverflow.com/a/9418463/1373598
It's great that you're on a mission to learn Apex! You don't really need to know Java, though. Some general programming concepts (variables, datatypes, loops, methods/functions, etc) would be enough.
It seems like you know a bit about Triggers already. As you probably know, they execute code based on certain conditions. Trigger Context Variables are very important when you're developing with them; these provide data on the record(s) that the Trigger action is being performed on. I would read that documentation thoroughly first. The examples provided are really helpful.
When working with triggers, it's also important to understand debug logs and how to check them. You can log anything using the System.debug(); method.
After you have the basics of a Trigger in place, you can begin to add sorting logic to it. Data in Lists (if the List type is a primitive data type) can be sorted by calling the List.sort(); method, but you would have to keep track of what sObject the data (date) is on. You may need to write your own sort method using a sort algorithm (bubble sort or insertion sort are a couple that I have used before) or use some sorting code that has already been developed.
I know that's a lot of information, but it should get you started; good luck!
Related
is there any possibility to get exact time spent on a certain level in a game via firebase analytics? Thank you so much 🙏
I tried to use logEvents.
The best way to do so would be measuring the time on the level within your codebase, then have a very dedicated event for level completion, in which you would pass the time spent on the level.
Let's get to details. I will use Kotlin as an example, but it should be obvious what I'm doing here and you can see more language examples here.
firebaseAnalytics.setUserProperty("user_id", userId)
firebaseAnalytics.logEvent("level_completed") {
param("name", levelName)
param("difficulty", difficulty)
param("subscription_status", subscriptionStatus)
param("minutes", minutesSpentOnLevel)
param("score", score)
}
Now see how I have a bunch of parameters with the event? These parameters are important since they will allow you to conduct a more thorough and robust analysis later on, answer more questions. Like, Hey, what is the most difficult level? Do people still have troubles on it when the game difficulty is lower? How many times has this level been rage-quit or lost (for that you'd likely need a level_started event). What about our paid players, are they having similar troubles on this level as well? How many people have ragequit the game on this level and never played again? That would likely be easier answer with sql at this point, taking the latest value of the level name for the level_started, grouped by the user_id. Or, you could also have levelName as a UserProperty as well as the EventProperty, then it would be somewhat trivial to answer in the default analytics interface.
Note that you're limited in the number of event parameters you can send per event. The total number of unique parameter names is limited too. As well as the number of unique event names you're allowed to have. In our case, the event name would be level_completed. See the limits here.
Because of those limitations, it's important to name your event properties in somewhat generic way so that you would be able to efficiently reuse them elsewhere. For this reason, I named minutes and not something like minutes_spent_on_the_level. You could then reuse this property to send the minutes the player spent actively playing, minutes the player spent idling, minutes the player spent on any info page, minutes they spent choosing their upgrades, etc. Same idea about having name property rather than level_name. Could as well be id.
You need to carefully and thoughtfully stuff your event with event properties. I normally have a wrapper around the firebase sdk, in which I would enrich events with dimensions that I always want to be there, like the user_id or subscription_status to not have to add them manually every time I send an event. I also usually have some more adequate logging there Firebase Analytics default logging is completely awful. I also have some sanitizing there, lowercasing all values unless I'm passing something case-sensitive like base64 values, making sure I don't have double spaces (so replacing \s+ with " " (space)), maybe also adding the user's local timestamp as another parameter. The latter is very helpful to indicate time-cheating users, especially if your game is an idler.
Good. We're halfway there :) Bear with me.
Now You need to go to firebase and register your eps (event parameters) into cds (custom dimensions and metrics). If you don't register your eps, they won't be counted towards the global cd limit count (it's about 50 custom dimensions and 50 custom metrics). You register the cds in the Custom Definitions section of FB.
Now you need to know whether this is a dimension or a metric, as well as the scope of your dimension. It's much easier than it sounds. The rule of thumb is: if you want to be able to run mathematical aggregation functions on your dimension, then it's a metric. Otherwise - it's a dimension. So:
firebaseAnalytics.setUserProperty("user_id", userId) <-- dimension
param("name", levelName) <-- dimension
param("difficulty", difficulty) <-- dimension (or can be a metric, depends)
param("subscription_status", subscriptionStatus) <-- dimension (can be a metric too, but even less likely)
param("minutes", minutesSpentOnLevel) <-- metric
param("score", score) <-- metric
Now another important thing to understand is the scope. Because Firebase and GA4 are still, essentially just in Beta being actively worked on, you only have user or hit scope for the dimensions and only hit for the metrics. The scope basically just indicates how the value persists. In my example, we only need the user_id as a user-scoped cd. Because user_id is the user-level dimension, it is set separately form the logEvent function. Although I suspect you can do it there too. Haven't tried tho.
Now, we're almost there.
Finally, you don't want to use Firebase to look at your data. It's horrible at data presentation. It's good at debugging though. Cuz that's what it was intended for initially. Because of how horrible it is, it's always advised to link it to GA4. Now GA4 will allow you to look at the Firebase values much more efficiently. Note that you will likely need to re-register your custom dimensions from Firebase in GA4. Because GA4 is capable of getting multiple data streams, of which firebase would be just one data source. But GA4's CDs limits are very close to Firebase's. Ok, let's be frank. GA4's data model is almost exactly copied from that of Firebase's. But GA4 has a much better analytics capabilities.
Good, you've moved to GA4. Now, GA4 is a very raw not-officially-beta product as well as Firebase Analytics. Because of that, it's advised to first change your data retention to 12 months and only use the explorer for analysis, pretty much ignoring the pre-generated reports. They are just not very reliable at this point.
Finally, you may find it easier to just use SQL to get your analysis done. For that, you can easily copy your data from GA4 to a sandbox instance of BQ. It's very easy to do.This is the best, most reliable known method of using GA4 at this moment. I mean, advanced analysts do the export into BQ, then ETL the data from BQ into a proper storage like Snowflake or even s3, or Aurora, or whatever you prefer and then on top of that, use a proper BI tool like Looker, PowerBI, Tableau, etc. A lot of people just stay in BQ though, it's fine. Lots of BI tools have BQ connectors, it's just BQ gets expensive quickly if you do a lot of analysis.
Whew, I hope you'll enjoy analyzing your game's data. Data-driven decisions rock in games. Well... They rock everywhere, to be honest.
I am dealing with CoreData, for training, I decided to create a small application for recording user income and expenses. CoreData tutorials all contain To-Do-List examples, and I haven't found any good examples that would help me.
// MARK: - Grammar
// I want to apologize for grammatical errors in the text. Unfortunately,
// English is not my native language, so in some places I used a translator.
If something is not clear, I will definitely try to explain it again.
When I began to think over how I would implement the application, I assumed that the most convenient way would be to save all user operations and make calculations in the application in the right places. So far, abstract, since It seems to me that this has little to do with the question, if you need to be more precise, I can provide a complete idea.
So, I'm going to save the user model, which will have the following data:
User operations (Operation type) - all operations will be saved, each operation includes the category for which the operation was performed, as well as the amount in currency.
User-selected categories (Category Type) - Categories that will be used for expenses or income when adding an operation.
Wallets (Type Wallet) - User's wallets, Everything is simple, the name, and the balance on it.
Budget Units (BudgetUnit Type) - These are user budgets, contains a category, and a budget for it. For example: Products - 10.000 $
When I started building dependencies in CoreData, I got a little strange behavior.
That is, the user has a relationship on the same category model as the Budget Unit and Operation. Something tells me that it won't work that way.
I want the user categories to be independent, he selected them, and I'm going to display them on the main screen, and each operation will have its own category model
In the picture above, the category model is used 3 times, the same model.
This is roughly how I represent the data structure that I would like to see. Different models have their own category model, independently of the others.
I think it could be implemented using 3 different models with the same values, but it seems to me that this approach is considered wrong.
So how do you properly implement the data model so that everything works as expected? I would be grateful for any help!
--- EDIT ---
As a solution to the problem, I can create multiple entities as Category (Example bellow)
But I don't know if this is good practice
I looked into several other open source projects and saw a solution to the problem.
I hope this helps someone in the future.
There is no need to save the categories for the user, you can simply save the categories in the application by adding the IsSelected and ID parameter to them in order to change these parameters when you select a category, and immediately understand which ones you need to display.
For budgets and operations (transactions) , we only need to save the category ID to immediately display the correct one.
For example:
Thanks #JoakimDanielson and #Moose for helping. It gave me a different view of the subject.
Beginner question. I would like to have a value list display only the records in a found set.
For example, in a law firm database that has two tables, Clients and Cases, I can easily create value list that displays all cases for clients.
But that is a lot of cases to pick from, and invites user mistakes. I would like the selection from the value list to be restricted to cases matched to a particular client.
I have tried this method https://support.claris.com/s/article/Creating-conditional-Value-Lists-1503692929150?language=en_US and it works up to a point, but it requires too much entry of data and too many tables.
It seem like there ought to be a simpler method using the find function. Any help or ideas greatly appreciated.
Good day!
I am a newbie on creating database... I need to create a db for my recruitment web application.
My database schema is as follows:
NOTE: I included the applicant_id on other tables... e.g. exam, interview, exam type.
Am i violating any normalization rule? If i do, what do you recommend to improve my design? Thank you
Overall looks good. A few minor points to consider:
Interviewer is also a person. You will need to use program logic to prevent different / misspellings.
The longest real life email address I've seen was 62 characters.
In exam you use the reserved word date for a column name
(subjective) I would rename applicant_date to applied_at
I don't see a postal / zip code for the applicant
All result columns are VARCHAR(4). If they use the same values, can they be normalized?
Birthdate is better to store then age. You don't want to schedule someone for an interview on their birthdate (or if you're cruel by nature, you do want that :) ). Age can be derived from it and will also be correct at all times.
EDIT:
Given that result is PASS or FAIL, simply declare the field a boolean and name it 'passed'. A lot faster.
One area where I could see a potential problem is the Interviewer being integrated in interview. Also I would like to point at the source channel in applicant, which could potentially get blobbed (depending of what you're going to store in there).
You don't seem to be violating any normalization rules upon first glance. It's not clear from your schema design, however, that the applicant_id is a referencing the applicant table. Make sure you declare it as a foreign key that references the applicant table when actually implementing the scehma.
Not to make any assumptions on your data, but can the result of a screening be stored in 4 characters?
Age and gender are generally illegal questions to ask in interviews so you may not want to record such things. You might want a separate interviewer table. You also might want a separate table that stores qualifications so you can search for people you have interviewed with C# knowledge when the next opening comes up. I'd probably do something like a Qualifications table that is the lookup for quals you want to add to the applicant qualfications table. Then you'd need the qualification id, applicantId, years, skill level in the Applicant Qualification table.
I notice results is a varchar 4 field, I assume you are planning to put Pass/fail in it. I would consider having a numeric score as well. The guy who got 80% of the questions right passed but the guy who got 100% of them right might be the better candidate. In fact for interviews I might have interview questions and results tables. Then you can record the score and any comments about each question which can help later in evaluation of a lot of candidates. We did this manually in paper spreadsheets once when we were interviewing several hundred people (we had over a hundred openings at the time and this was way before personal computers) and found it most helpful to be able to compare answers to questions. It's hard to remember 200 people you interviewed and who said what. It might help later when you have a new opening to find the people who were strong onthe questions most pertinent to the new job who might not have been given a job at the time of the interview(5 excellent candidates, 1 job for instance).
I might also consider a field to mark if the candidate is unaccepatble for ever hiring for some reason. Such as he committed a felony or he lied on the resume and you caught him or he was just totally clueless in the interview. This can make it easy to prevent this person from being considered repeatedly.
I think that your DB structure has a lot of limitation for future usage. For example you can even have a description of the exam because this stable store the score and exam date. It may by that this kind of information are already stored in another system and you have to design only the result container. But even then the exam, screen and interview are just a form of test, that why the information about should be stored in one table and distinguished by some type id. If you decide to this approach you have to create another table to store the information about result
So the definition of that should look more like this:
TEST
TEST_ID
TEST_TYPE_ID ref TEST_TYPE - Table that define the test type
TEST_REQUIRED_SCORE - The value of the score that need to be reach to pass the exam.
... - Many others properties of TEST like duration, expire date, active inactive etc.
APPLICANT_RESULTS
APPLICANT_ID ref APPLICANT
TEST_ID = ref TEST
TESTS_DATE - The day of exam
TEST_START - The time when the test has started
TEST_FINISH - The time when the test has ended
APPLICANT_RESULT - The applicant result of taken test.
This kind of structure is more flexible and give the easy way to specify the requirements between the test in table like this
TEST_REQUIREMENTS - Table that specify the test hierarchy and limitation
TEST_ID ref TEST
REQUIRED_TEST ref TEST
ORDER - the order of exams
Another scenario is that in the future your employer will want to switch to an e-exam system. In that case only think what you will need are:
Create table that will store the question definition (one question can be used in exam, screen or interview)
Crate table that will store the question answers.
Create table that will store the information about the test question.
Create table for storing the answer for each question given from applicant.
A trigger that will update the over all score of test.
What are some possible designs to deal with frequently changing data forms?
I have a basic CRUD web application where the main data entry form changes yearly. So each record should be tied to a specific version of the form. This requirement is kind of new, so the existing application was not built with this in mind.
I'm looking for different ways of handling this, hoping to avoid future technical debt. Here are some options I've come up with:
Create a new object, UI and set of tables for each version. This is obviously the most naive approach.
Keep adding all the fields to the same object and DB tables, but show/hide them based on the form version. This will become a mess after a few changes.
Build form definitions, then dynamically build the UI and store the data as some dictionary like format (e.g. JSON/XML or maybe an document oriented database) I think this is going to be too complex for the scope of this app, especially for the UI.
What other possibilities are there? Does anyone have experience doing this? I'm looking for some design patterns to help deal with the complexity.
First, I will speak to your solutions above and then I will give my answer.
Creating a new table for each
version is going to require new
programming every year since you will
not be able to dynamically join to
the new table and include the new
columns easily. That seems pretty obvious and really makes this a bad choice.
The issues you mentioned with adding
the columns to the same form are
correct. Also, whatever database you
are using has a max on how many
columns it can handle and how many
bytes it can have in a row. That could become another concern.
The third option I think is the
closest to what you want. I would
not store the new column data in a
JSON/XML unless it is for duplication
to increase speed. I think this is
your best option
The only option you didn't mention
was storing all of the data in 1
database field and using XML to
parse. This option would make it
tough to query and write reports
against.
If I had to do this:
The first table would have the
columns ID (seeded), Name,
InputType, CreateDate,
ExpirationDate, and CssClass. I
would call it tbInputs.
The second table would have the have
5 columns, ID, Input_ID (with FK to
tbInputs.ID), Entry_ID (with FK to
the main/original table) value, and
CreateDate. The FK to the
main/original table would allow you
to find what items were attached to
what form entry. I would call this
table tbInputValues.
If you don't
plan on having that base table then
I would use a simply table that tracks the creation date, creator ID,
and the form_id.
Once you have those you will just need to create a dynamic form that pulls back all of the inputs that are currently active and display them. I would put all of the dynamic controls inside of some kind of container like a <div> since it will allow you to loop through them without knowing the name of every element. Then insert into tbInputValues the ID of the input and its value.
Create a form to add or remove an
input. This would mean you would
not have much if any maintenance
work to do each year.
I think this solution may not seem like the most eloquent but if executed correctly I do think it is your most flexible solution that requires the least amount of technical debt.
I think the third approach (XML) is the most flexible. A simple XML structure is generated very fast and can be easily versioned and validated against an XSD.
You'd have a table holding the XML in one column and the year/version this xml applies to.
Generating UI code based on the schema is basically a bad idea. If you do not require extensive validation, you can opt for a simple editable table.
If you need a custom form every year, I'd look at it as kind of a job guarantee :-) It's important to make the versioning mechanism and extension transparent and explicit though.
For this particular app, we decided to deal with the problem as if there was one form that continuously grows. Due to the nature of the form this seemed more natural than more explicit separation. We will have a mapping of year->field for parts of the application that do need to know which data is for which year.
For the UI, we will be creating a new page for each year's form. Dynamic form creation is far too complex in this situation.