How to efficiently select two counts from a table
I have a table, and I want to efficiently to get total count of tuples in the table, and total count of tuples with a filter.
date/time field value out of range: “23.09.2024”
I am using postgreSQL
date/time field value out of range: “23.09.2024”
I am using postgreSQL
date/time field value out of range: “23.09.2024”
I am using postgreSQL
Get count of records that matches a particular value in multiple columns
Here is what I need :
I have 4 values – ‘India’,’JapaN,’UsA’ and ‘Russia’. These values are in 2 different columns ‘Country’ and ‘Geography’. I need a report of count of rows in table that has above values in any of the columns.
Example : country name No.of rows
India 5
Japan 4
Why i’m not able to create a table in postgreSQL? [closed]
Closed 26 mins ago.
Using SQL INSERT…ON CONFLICT DO UPDATE to batch upsert rows with different columns
I have an application that writes to a PostgreSQL database. I would like to do batch upserts of the data with INSERT ON CONFLICT DO UPDATE. The application needs to be optimized for writes for high traffic. Doing upserts would allow me to simply insert or update all data in one go.
Using SQL INSERT…ON CONFLICT DO UPDATE to batch upsert rows with different columns
I have an application that writes to a PostgreSQL database. I would like to do batch upserts of the data with INSERT ON CONFLICT DO UPDATE. The application needs to be optimized for writes for high traffic. Doing upserts would allow me to simply insert or update all data in one go.
Is there a way to direct json_agg json_build_object to different return columns depending on column value?
Apologies for the bad wording of the question, I couldn’t think of a way to phrase it better. For instance, let’s say my schema is something like this, in pseudocode:
Max does not return maximum timestamp value
In PostgreSQL 16.1 I have a very large table mytable
with a column _modified
with type Timestamp with time zone. When I run below query on the whole table, it returns a lower timestamp value compared to when I run the query on as subset of the table.