Since 3 days ago website is not scrapable and auto added image size in the slug

I have a blogsite and after each post I will use other sites like pinterest to pin an image from my post. Since the 22-23th of July these sites don’t recognize images on my site. And what I noticed, all of a sudden 50% of my images automatically added the image-size at the end of the slug. Even from older posts.

-I already checked which plugin was updated after the 22nd but can’t find any related to this. -Last backup was made on the 20nd, I really don’t want to lose the data I made in these days.

Anyone have an idea what the issue is?

Calculate days between to dates postgresql

I’m having a problem:

I’m trying to calculate days between two dates.

Let’s say I have the date ‘2005-05-25 06:04:08’ and I want to count how many days are from that day to the current date.

I tried doing:

SELECT DATE_PART('day', AGE(CURRENT_TIMESTAMP, '2005-05-25 06:04:08'::timestamp )) AS days; 

But for some reason this returns 11, it’s not taking into count the HUGE difference in years. How can I solve this?

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MySQL event scheduler waiting on empty queue since server restarted 12 days ago

I noticed a process on the server which has been running for more than 12 days, which I think coincides with the last time MySQL was restarted.

mysql> SHOW FULL PROCESSLIST;  +---------+-----------------+-----------+------+---------+---------+------------------------+-----------------------+ | Id      | User            | Host      | db   | Command | Time    | State                  | Info                  | +---------+-----------------+-----------+------+---------+---------+------------------------+-----------------------+ |       5 | event_scheduler | localhost | NULL | Daemon  | 1098372 | Waiting on empty queue | NULL                  | | 1774483 | root            | localhost | NULL | Query   |       0 | starting               | SHOW FULL PROCESSLIST | +---------+-----------------+-----------+------+---------+---------+------------------------+-----------------------+ 2 rows in set (0.00 sec) 

There are no events, and I haven’t attempted to created any.

mysql> SELECT * FROM information_schema.EVENTS;  Empty set (0.00 sec) 

This is actively using up to 8% of my server’s CPU.

Is there a way of determining what this is, or why it was started? Will this try to run every time I restart MySQL? If so, what is it ‘waiting’ for and do I need to tweak my configuration at all to prevent this?

MySQL 8.0.21

MongoDB running sum over 3 days per ID

I have the following json file (small sample) which consists of purchase records of 4 different customers across different dates. I am required to use MongoDB/nosql to identify which customers have made at least a total of 8 new purchases over a consecutive period of 3 days.

In this case, customer ABC made 32 total purchases from 2020-05-01 to 2020-05-03 (3 consecutive days). Customer GHI also had 20 purchases from 2020-07-28 to 2020-07-30 (3 consecutive days). So my output should only contain customers ABC and GHI. What would be the code to get the output? Many thanks!

{"cust_id":"ABC", "date":"2020-05-01", "new_purchase":2},  {"cust_id":"ABC", "date":"2020-05-02", "new_purchase":16},  {"cust_id":"ABC", "date":"2020-05-03", "new_purchase":14},  {"cust_id":"ABC", "date":"2020-05-04", "new_purchase":0},  {"cust_id":"ABC", "date":"2020-05-05", "new_purchase":5},  {"cust_id":"DEF", "date":"2020-05-11", "new_purchase":3},  {"cust_id":"DEF", "date":"2020-05-12", "new_purchase":0},  {"cust_id":"DEF", "date":"2020-05-13", "new_purchase":0},  {"cust_id":"DEF", "date":"2020-05-14", "new_purchase":0},  {"cust_id":"DEF", "date":"2020-05-15", "new_purchase":1},  {"cust_id":"GHI", "date":"2020-07-28", "new_purchase":0},  {"cust_id":"GHI", "date":"2020-07-29", "new_purchase":3},  {"cust_id":"GHI", "date":"2020-07-30", "new_purchase":17},  {"cust_id":"GHI", "date":"2020-07-31", "new_purchase":0},  {"cust_id":"GHI", "date":"2020-08-01", "new_purchase":1},  {"cust_id":"JKL", "date":"2020-06-04", "new_purchase":7},  {"cust_id":"JKL", "date":"2020-06-05", "new_purchase":0},  {"cust_id":"JKL", "date":"2020-06-06", "new_purchase":0},  {"cust_id":"JKL", "date":"2020-06-07", "new_purchase":0},  {"cust_id":"JKL", "date":"2020-06-08", "new_purchase":0},  {"cust_id":"JKL", "date":"2020-06-08", "new_purchase":2} 

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