I have a database with a few million posts, each with a column “content” that contains the post content in plain HTML.
Postgresql Serial Daily Count of Records
I am trying to get a total count of records from 1st Jan till date, without skipping dates and returning 0 for dates that have no records. I have tried the following: orders is an example table and …
Is it possible to get this PostgreSQL query down from 50ms to the order of a few ms?
I have a query that I want to make as fast as possible. It’s this: I get the following plan: Which is not terrible, I guess. But the actual query is more involved + I’ll be running this query in parallel on different shards. So I’m really focussed on getting this lightning quick. Is there anything I’m missing, or is
SQL GROUP BY and kind of rereduce afterwards
I’m using PostgreSQL v.11. I have a table with 3 columns. My goal is to find redundancy inside data. First of all, I do a simple GROUP BY: SELECT client, block, “date” FROM lines GROUP BY …
Postgres – calculate total working hours based on IN and OUT entry
I have the below tables: 1) My Company table id | c_name | c_code | status —-+————+———-+——– 1 | AAAAAAAAAA | AA1234 | Active 2) My User table id | c_id | …
Variable value conversion from any case to smaller case in psql CLI
I was creating a script to create DB user in Postgres via psql CLI, the challanges I am facing is that value conversion from Any case to lower case is happeing or not able to find the solution for the same. As per my expectation the lowerVal variable should convert the inputValue into lower case value. Did the googles but
Optimising postgresql query
I have this query which is rather slow for my liking : Explain analyse output Is there an index I can put on to speed this up (bearing in mind that the values for the order by will be dynamic)? I was thinking a partial index on where bust,figure,age,hair ethnicity is not null and status = ‘online’ but then not
Best approach to ocurrences of ids on a table and all elements in another table
Well, the query I need is simple, and maybe is in another question, but there is a performance thing in what I need, so: I have a table of users with 10.000 rows, the table contains id, email and more …
PostgreSQL LIMIT with OFFSET is not working beyond 100000
I am using postgres (9.6) docker for my project. After loading large volume of data, for example 234453, I need to cut data in chunks using limit and offset. But I have observed that my query is …
group by date and show the values of X(column) which depends on min time of that date and max time of that date in 1 row
I have table like I want to group by date which user has the id of u_id =1 and get first time and value of x and get the last time and value of x in same row it should be like what i’ve tried but i cant get the values of xs. the rows: Answer One method uses conditional