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English speaking PostgreSQL public chat. This group is for discussions on PostgreSQL-related topics and strives to provide best-effort support as well.
Though we have many reasons to love it, anything specific that attracts you the most ? 😊
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A good start would be a pg_buffercache standard extension and (a lot of) query plan analysyses with buffers, timing, wal options.
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How to check the cache size of tables in postgres database
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Pretty much.
I often find cloud solutions tend to be designed for general usecases.
Where as with your own, you have access to a lot more options to tailor your solution.
You're not an engineer at all.
(I've seen a lot of people like you).
Yes correct. Migrating a database to the cloud can resolve many issues, such as performance bottlenecks, scalability limitations, and infrastructure maintenance concerns. Cloud databases often offer built-in redundancy, automated backups, and enhanced security features, which can further improve reliability and uptime.
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Each has their own perspective..but that shouldn't be commented..
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While I'm all sound with my on prem which is easily scalable, less expensive and I have control over it
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As in a fraction of seconds we can obtain either horizontal or vertical scaling..
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How do you think we've done network scalability until now?
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Just with this u can't blame..even though I am an experienced Dba ..I am not a half-knowledger person to post the info here.. without Knowing about it...
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Upgraded to 17 today, already in love with it as always, happy upgrading everybody :)
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t.me/catsgang_bot/join?startapp=jeHAWePvwt4yLgr3JPBhf
Meow, lets see who is OG 😼
In my experience the cloud can cause just as many issues.
The cloud is not magic, it's just somebody else's computer, that you're renting.
Which comes with it's own sets of limitations and tradeoffs.
Engineering is about finding a solution which balances those tradeoffs within your constraints.
Hope u r not so..if ur not emerging as per the technology..
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U can't compare one cloud provider with others as I have been using Amazon for the past 3 Years and I don't have issues with it.and moreover i need to pay money for the space which i have utilized instead i need not to buy space for future use..
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I have experience horrible issues with Oracle cloud
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Till now we have faced many issues.. atleast by using cloud we are safe ..
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Buying the server and maintaining it doesn't mean we did cost optimization..we need to consider other factors like.. network,scalability options in future , Performance and moreover deploying the team for doing all these activities..
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I am working with a table that stores SQL queries, and I need to classify them based on whether they are intended for data extraction or data modification. Specifically, I need to:
Mark queries as "Extract" if:
They are standalone SELECT queries used to retrieve data.
They are part of a WITH ... SELECT Common Table Expression (CTE).
They are COPY statements.
Mark queries as "non-extract" if:
The SELECT is combined with data modification operations like INSERT INTO, UPDATE, or DELETE.
The query involves aggregations like COUNT etc.
Additionally, I need to avoid false positives when keywords like insert, count, or delete appear in table or column names (e.g., insertbase, countless).How can I write a SQL query to correctly classify these queries in PostgreSQL?
And remember that postgresql ages well, aka with new versions optimizations are introduced and performance increases
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