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Advice
0 votes
6 replies
112 views

I’m wondering when designing a database, is really strict normalization better or do you denormalize for performance from the beginning? It’s better because it runs faster right?
Lexiikaee's user avatar
Best practices
1 vote
1 replies
63 views

We are planning to implement an enterprise data archiving strategy to manage large volumes of historical and inactive data across multiple enterprise applications (ERP, CRM, and legacy systems). Our ...
sam diago's user avatar
Best practices
0 votes
15 replies
6k views

I have a T-SQL query shown here which is taking forever to run. I am trying to see if there is a better way to write the Inner Join statement. The source table has a millions of rows. Is there any ...
Java's user avatar
  • 1,344
0 votes
2 answers
257 views

I'm experiencing a performance issue with the following query, specifically caused by the join condition AND edh.EmployeeCode = e.EmployeeCode After analyzing the execution plan, I noticed that SQL ...
Akillez's user avatar
  • 17
0 votes
0 answers
84 views

I have the following tables: create table account_transactions ( id int auto_increment primary key, account_id int not null, amount ...
jurchiks's user avatar
  • 1,449
0 votes
1 answer
297 views

In our system we are hashing passwords with the following method. public static string HashPassword(string password, byte[] salt) { if (salt == null) { throw new ArgumentNullException($...
Cerkvenic's user avatar
  • 377
2 votes
1 answer
142 views

I’m using GridDB Cloud (Free Tier) with Python to store time-series IoT data. My container currently has around 10 million rows, and it continues to grow daily. Schema: device_id STRING, created_at ...
Imtiaz's user avatar
  • 67
4 votes
1 answer
136 views

I’m working with a hierarchical model structure in Django, where each level can represent a region, district, or village. The structure looks like this: class Location(models.Model): name = models....
Ziyodulla Abdukarimov's user avatar
-1 votes
1 answer
143 views

I need to speed up a query that lists transactions from BillingInfo joined to site/customer tables. Users filter by CustomerName (first + last). Data volume: BillingInfo ≈ 3.1M rows CREATE TABLE [dbo]....
Girijesh T S's user avatar
-1 votes
2 answers
235 views

Let's create a table with 3000 rows create table tt(id int, txt text); insert into tt with recursive r(id) as (select 1 union all select id + 1 from r where id < 3e3) select id, concat('name', id) ...
Slimboy Fat's user avatar
4 votes
1 answer
203 views

In a table T with 20 million rows and a unique constraint on integer column uk, the following query induces SQL Server 2019 to perform a scan of all index entries instead of a single seek: select max(...
DarthGizka's user avatar
  • 4,948
0 votes
1 answer
362 views

I am working in the backend of an application. One part of this application (like every application nowadays) is using AI for multiple things. The application's main purpose is building data warehouse ...
ne0123.'s user avatar
  • 23
0 votes
1 answer
151 views

I'm learning PostgreSQL Clustering abilities and I would like to compare performance of the same query with table not clustered and with table clustered. I tried to generate 25 million user events and ...
rela589n's user avatar
  • 1,254
0 votes
3 answers
60 views

I am working on one scenario where I have to check login flow of application for 10KTPM in minute. In my login flow exist- load the URL, Login and Home page load. In entire login flow we have 55 ...
vishakha bharambe's user avatar
0 votes
1 answer
143 views

We're using DSE 6.0.18 (Cassandra version 3.11) and our application is both read and write heavy. I have a situation where I need to fire N number of read queries for each API (by partition key) using ...
Dinesh Babu M's user avatar

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