How do I make replies to comments? (PHP) - php

I want to create something like reddit where they have comments, then replies to the comment, then reply to the reply.
What type of database structure do they use so:
1. they keep track of all the comments to a posting
2. a reply to a comment
3. a reply to a reply
All I have right are is just a posting and a bunch of comments relating to it like..
POSTING TABLE
posting_id | title | author
COMMENTS TABLE
comment_id | posting_id | comment
REPLIES TABLE
????
How do I relate the comments to the replies?
What type of css do they use to give replies that indented space?
EDIT:
Thanks for the answers! Now my only question how do I indent the replies?
Such as..
you like food
yes I love italian
Yes i do like it too
chinese is best

You can add another column to your comments table specifying parent_comment_id where you populate it with the ID of the comment (or reply) the user is replying to. In the case where the comment is a direct reply to the post (not a reply to a comment) this column would be null.

To show replies inside replies, you'll have to do a recursive call to keep on generating the sub replies.
Something like
function get_comments($comment_id) {
print '<div class="comment_body">';
// print comment body or something?
if (comment_has_reply($comment_id)) {
foreach(comment_comments($comment_id) as $comment) {
get_comments($comment->id);
}
}
print '</div>';
}
To indent comments however, use css.
<style type="text/css">
.comment_body {
margin-left:10px;
}
</style>
This way sub replies are indented more than the parent, and their subs are indented even more, and so on.

I would do that by making a cross reference table.
Example:
Table: Posts
Columns: pstkey | userid | postMessage | etc...
pstkey is the key for the post body. userid is the person who created the post. postMessage is the actual post entry.
Table: Comments
Columns: comkey | pstkey | userid | commentMessage | etc...
comkey is the key for the comment made. referenced to the post using the pstkey. userid is the person who made the comment. and then commentMessage is the text body of the actual comment.
Table: xref_postComm
Columns: xrefkey | pstkey | comkey | comkey2 |
Now for the fun part. ALL posts go into post table. ALL comments go into comment table. The relationships are all defined in the Cross Reference Table.
I do all of my programming this way. I was privileged to work with one of the worlds bests database engineers who was retired and he taught me a few tricks.
How to use the Cross Reference table:
xrefkey | pstkey | comkey | comkey2
All that you look for is the population of a given field.
xref (Auto Incremented)
pstkey (Contains the pstkey for the post)
comkey (Contains the comkey for the comment post)
comkey2 (Contains the comkey for the comment post)
(but only populate comkey2 if comkey already has a value)
and of course you populate comkey2 with the key of the comment.
SEE, no reason for a 3rd tabel!
With this method you can add as many relationships as you want.
Now or in the future!
comkey2 is your reply to a reply. Where which this single row contains.... the key of the post, the key of the comment, and the key of the reply to the reply comment. All done by population of xref.
EXAMPLE:
PAGES.... Page table
POSTS
pstkey | pageid | user| Post
-------------------------------------
| 1 | 1 | 45 | Went to the store the....|
| 2 | 2 | 18 | Saw an apple on tv.....
COMMENTS
comkey | pstkey | user | Comment
-----------------------------------------------
| 1 | 1 | 9 | Wanted to say thanks...
| 2 | 1 | 7 | Cool I like tha.....
| 3 | 2 | 3 | Great seeing ya....
| 4 | 2 | 6 | Had a great....
| 5 | 2 | 2 | Don't sweat it man...
xref_PostCom
xrefkey | pageid | pstkey | comkey | comkey2 |
----------------------------------------------
| 1 | 1 | 1 | NULL | NULL | Post1 on Page1
| 2 | 1 | 1 | 1 | NULL | Comment1 under Post1
| 3 | 1 | 1 | 2 | NULL | Comment2 under Post1
| 4 | 2 | 2 | NULL | NULL | Post2 on Page2
| 5 | 2 | 2 | 3 | NULL | Comment3 under Post2 on Page2
| 6 | 2 | 2 | 4 | NULL | Comment4 under Post2 on Page2 (a second Comment)
| 7 | 2 | 2 | 4 | 5 | Explained below....
Comment key 5 is matched with comment key 4....under post2 on Page 2
If you know anything about join, left join, right join, inner/outer join creating SELECT's to get the data arrays using these relationships, your job becomes a whole lot easier.
I believe the engineer's call this basically "the data map" of defined relationships. The trick is now how you access them using these relationships. It seams hard at first, but know what I know it, I refuse to do it any other way.
What happens in the end is you end up writing 1 script that says, ok, go do uhh, everything and come back. You will end up with 1 function call that asks for page 1. It returns with page1, post 1, comment1&2&3 and the replies to the reply in 1 array. echo to output and done.
UPDATE FOR COMMENT
I said the same exact thing the first time it was shown to me. As a matter of fact it really was making me mad that the database programmer was forcing me to do it this way. But now I get it. The advantages are so many.
Advantage 1) 1 query can be written to pull it all out in 1 shot.
2) Answers in multiple queries can populate arrays in a structure that when printing the page a loop in a loop can display the page.
3) Upgrading your software that uses it can support any possible design change you can ever think of. Flawless expandability.
The guy who taught it to me was the hired gun who redesigned sears and jcpenny databases. Back when they has 9 books going to the same house because of duplicate records issues.
Cross reference tables prevent a lot of issues in design.
The heart to this theory is, a column can not only contain data but serve as a true or false statement at the same time. That in it's self saves space. Why search 20 tables when you can search one? 1 indexed cross reference table can tell you everything you need to know about the other 20 tables, it contents, what you need, what you don't need, and do you even need to open the other table at all.
IN SHORT:
1 Cross reference containing nothing but INT(2/11) that tells you everything thing you need to know before you ever open another table, not only contains flawless expandability but lighting speed results. Not to mention little possibility of duplicate records. To you and me duplicate records may not be an issue. But to Sears with 4 billion records at $11 a book, mistakes add up.

Add another field to your comments table which "reply_to" or some such, and store the id of the comment which it is in reply to there.

you could make the comments table generic like so :
COMMENTS TABLE
comment_id | posting_type | posting_id | comment
where posting_type is some sort of discriminator, eg a string 'POST' or 'COMMENT', or an integer for more efficiency (1 = POST, 2 = COMMENT, etc).
edit : admittedly this is more complicated but it means you can use the same comment table for comments on anything, not just posts and other comments.

You don't need the replies table. As others already correctly have pointed out, recursion is the way to go with an RDBMS. You could always consider using a nosql style DBMS, to avoid having to deal with recursion.

Related

Database/code design for limiting hierarchical comments at certain level?

I'm making small commenting app written in PHP as backend, React as frontend and PostgreSQL as database. I have table comment which holds all comments and it is self referencing table.
\d+ comment:
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
-----------------+--------------------------+-----------+----------+-------------------------------------+----------+--------------+-------------
id | bigint | | not null | nextval('comment_id_seq'::regclass) | plain | |
website_page_id | bigint | | not null | | plain | |
author_id | bigint | | not null | | plain | |
parent_id | bigint | | | | plain | |
content | text | | | | extended | |
deleted_date | timestamp with time zone | | | | plain | |
updated_date | timestamp with time zone | | not null | | plain | |
created_date | timestamp with time zone | | not null | | plain |
On the client side I make request to get all comments, backend makes recusrive query to database to grab all comments and return them in appropriate format, then I render it.
Here is JSON of parent comment:
{
id: 1
author_id: 1
content: "Some content"
created_date: "2019-05-29 06:11:43+00"
depth: 0
parent_id: null
replies: [...]
updated_date: "2019-05-29 06:11:43+00"
website_page_id: null
}
So each comment as depth parameter, which I use to define identation (I don't nest comments recursively like comment -> replies -> comment -> replies, it is only comment and all its replies. I do extra processing on backend to make this form, PostgreSQL returns just data as it is with depth definition.
I have a form for creating new comments and replies to existing comments. So far replies can nest as far as it can go (not sure about database limitations).
Here are my concerns:
I don't want to nest forever as it kills performance (I assume). Does it really? Also, it is resonable to limit it up to n level by default so it does not go off the screen on the client side.
Not sure where and how to make limitation. Whether it should be on the database level, backend or client side?
I had only one idea how to solve it, but so far it does not seem to be elegant solution. Here it is:
Ignore that it nests on the database level and just limit identation on client side, so if I defined 5 level as maximum, then anything above that would have 5 level identation. It works, but it does not help the database performace.
I am pretty sure there are other possible ways to do this, help would be appreciated!
Recursive queries (when they take advantage of index) are really fast. It will probably take more time to nest the results in Javascript. The nesting limitation is more for the UI and not very difficult to fetch:
with recursive
comment_node (comment_id, parent_id, level) as (
select comment_id, comment_parent_id, 1::int4 as level
from comment
where website_page_id = $*
union all
select c.comment_id, c.comment_parent_id, parent.level + 1 as level
from comment as c
inner join comment_node as parent
on parent.comment_id = c.parent_id
and parent.level < 5
)
select c.comment_id, cn.level, c.comment_parent_id, c.content, a.name, ...
from comment as c
join comment_node as cn
using (comment_id)
join author as a
using (author_id)
Limiting the insertion of comments with a nesting level of 5 or more is probably not a meaningful database constraint as it does not break the data consistency.

Is it possible to reference a MySQL table dynamically?

I can't find anything about dynamically referencing a MySQL table entry in my particular case. Most everything I've read leans towards it not being possible, but I'm hoping someone can prove me wrong.
Essentially, I've got multiple MySQL tables that I'm trying to pull data from on an Android app. I want to access 2 at a time. The 1st Table's name always stays the same, history. The 2nd Table's name, however, may be different at times. It's value is determined within the app and referenced with :job in my php script (I'll use moon for my example). The 2nd table itself is generated dynamically through the app, so I guess I'm trying to set up a reference within a php script I have saved to a server so that I can access the 2nd Table.
Sorry for the confusing description, I hope these tables will help explain what I'm trying to get at.
Table #1: history (always stays the same)
| site | code | hours|
|---------|---------|------|
| moon | first | 1 |
| moon | second | 2 |
| moon | third | 3 |
| earth | fourth | 4 |
Table #2: moon (this one I want to dynamically reference)
| code | hours|
|---------|------|
| first | 10 |
| second | 11 |
| third | 12 |
And my current code:
...
/*** Table #1 ***/
SELECT code,
SUM(hours) AS total, '' AS target
FROM history
WHERE site = :job /* :job ends up being moon in this example */
GROUP BY code
UNION ALL
/*** Table #2 ***/
SELECT code,
'' AS total, SUM(hours) AS target
FROM :job /* <--- I'm trying to do something along these lines and use 'moon', or 'earth', or whatever... */
GROUP BY code
...
And later I get :job from the app: (moon)
$query_params = array(
':job' => $_POST['jobname'],
);
Result I'm Looking For: (works perfect if I directly use Table #2's name (ie moon) in my php file)
| code | hours|target|
|---------|------|------|
| first | 1 | 10 |
| second | 2 | 11 |
| third | 3 | 12 |
The code absolutely works as expected when I replace the :job in the 2nd table with the actual name of the table. I'm wondering if there is some way to still do it dynamically though?
Thanks for any and all advice!
I've done some pretty extensive searching and haven't come up with anything that works for me.
Is it possible to reference a mysql table entry value from a second table entry dynamically?
https://dev.mysql.com/doc/refman/5.7/en/derived-tables.html
MySQL table.* AS reference
Retrieve parent-child hierarchy from a self-referencing mysql table

insert reference in comment table that joins two sessions (blog and news)

I am finalizing a comments system and was with a doubt.
I have a table for blogs and one for news, and they accept comments.
My comments table receives the text and the id.
I wonder if I need to (or should I) go through some sort of reference to know where the comment comes from.
table comment
id | id_content | text | ref
1 | 1 | test | blog
2 | 1 | test | news
thanks
depending on the number of comments you expect to receive there are two ways of doing this ...
1 - parent_tbl, parent_id - in one big comment table
2 - two tables for comments with a parent_id - one for each primary table
either way you need to index properly, the second will always work faster, but it doesn't expand well if you say add "press_releases" now you have to duplicate code, tables, what not.

Like and Unlike System in PHP

I am developing a community site for high school students. I am trying to implement a like and unlike system using PHP. Heres what I have got :
A table named likes in MySQL with 3 columns namely app_id VARCHAR(32), user VARCHAR(12), dormant VARCHAR(6).
UNIQUE(app_id,user)
When a person likes a page on my site, a row is either inserted or updated in the likes table with dormant = false.
When a person unlikes a page, the row present is again updated with dormant = true. This is an alternative to deleting the row as it is a bit intensive for a speedy work of likes and unlikes.
I want to know, if I should go for deleting the row instead of updating it, when someone unlikes the page.
Dont Delete the row. Every data you can gather its a valuable data point.
I would say you should create a new record for every unlike also.
These data will be usefull to you in the future to figure out user behaviour.
Some ppl might like smth now and then unlike it , then like it again and so on.
Maybe in the future u would like to see why so many people who liked an item suddely unliked it then liked it again.
So i say gather as much data as you can.
Sounds like premature optimization. Don't do that.
Design your application as you want to use it /as it should work. When it gets busy, find out the bottlenecks and fix them.
If you want to design your application for scalability to the millions, consider using a different database engine / programming platform altogether.
Looks like you haven't record the number of user liked or unliked the pages. In this case, LIKES should be a many table and there should be another table called APPS (or any name you wish) to store pages:
**USER**
+---------+-------+-----+
| user_id | name | ....|
+---------+-------+-----+
| 1 | ... | ... |
+---------+-------+-----+
| 2 | ... | ... |
+---------+-------+-----+
**APPS**
+---------+-------+-----+
| app_id | name | ....|
+---------+-------+-----+
| 1 | ... | ... |
+---------+-------+-----+
| 2 | ... | ... |
+---------+-------+-----+
**LIKES**
+---------+-------+----------+----------+
| like_id |user_id| app_id | is_liked |
+---------+-------+----------+----------+
| 1 | 1 | 2 | 1 |
+---------+-------+----------+----------+
| 2 | 1 | 3 | 0 |
+---------+-------+----------+----------+
Where you can toggle if the user click like( is_liked = 1) or unlike( is_liked = 0) the page

What is the algorithm behind nested comments?

I want to learn the comment displaying algorithm behind Reddit. How is a comment related with its child and so on? How they are stored in the database?
Lets say
comment1
-comment2
--comment3
-comment4
--comment5
--comment6
---comment7
----comment8
comment9
How to display comment5 which is after comment4 which is after comment1? What is the idea behind this sequencing? And how to relate them in the database?
It is called hierarchy. Each comment either has no parent comment, or has one parent comment. This way you can display every "top level" comment (thanks to the fact they have no parent comments), then child comments for each of them etc. etc.
And the database structure may look like this for comments table:
id field identifying single comment,
parent_id being set to parent's ID or not set (set to NULL or set to 0),
created - timestamp for comment creation,
content - actual comment content,
any additional field you need,
AS #Rafe said, the actual storage is pretty easy, it would be something like:
| id | name | parent |
| 1 | comment1 | 0 |
| 2 | comment2 | 1 |
| 3 | comment3 | 2 |
| 4 | comment4 | 1 |
| 5 | comment5 | 4 |
| 6 | comment6 | 4 |
| 7 | comment7 | 6 |
| 8 | comment8 | 7 |
| 9 | comment9 | 0 |
Of course actually getting information from this is (arguably) the hard part. You can of course get the children of a comment with something like: SELECT * FROM table WHERE parent='4' will give you all the children of comment4. But counting children, listing all the children in hierarchical order would be a bit harder. Other answers may provide more information on that.
Pretty much what #Rafe Kettler noted - comments can have parent columns. However, if you want a more detailed and in-depth algorithm to use as a pattern for your implementation, take a look at this message threading algorithm.

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