In this post, we are going to look at some of the importantGUC parametersrecommended for memory management in PostgreSQL, which is helpful for improving the performance of your database server. All of these parameters reside under thepostgresql.conffile (inside $PDATA directory), which manages t...
To calculate the median/percentiles in PostgreSQL, PERCENT_CONT, and PERCENT_DISC functions can be used. Both of these functions are analytic or Windows functions to evaluate continuous and discrete distributions of the data respectively. The user can also apply multiple CONT and DISC functions in ...
Method 1 – Using Conditional Formatting to Calculate and Highlight the Top 10 Percent of Values Steps: Here’s a dataset of salespersons with their ID, Name, and Sales. We will calculate and highlight the top 10% of sales from the given dataset. Select the sales that you want to ...
The following sections detail the steps to create a table and run EXPLAIN and EXPLAIN ANALYZE on a simple PostgreSQL query. We also discuss how to read and calculate plan costs, and tools to help visualize explain plans in PostgreSQL. Prerequisites To complete the examples in this post, yo...
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Adjust PostgreSQL settings for better performance: Increase Work Memory: Edit postgresql.conf or run: SET work_mem = ‘128MB’; Enable Parallel Query Execution: SET max_parallel_workers_per_gather = 4; Optimize Effective Cache Size: SET effective_cache_size = ‘4GB’; ...
text Required The text to calculate the length. Note: LEN reflects the length of text as a number. This function works with numbers, but number formatting is not included. The LEN function returns zero for empty cells. Example 1 – Compare Name Length The sample dataset showcases two group...
I have a scenario where I need to calculate a running total using the SUM window function in SQL. The issue arises because some rows have duplicate timestamps, and the RANGE clause in the window function groups all rows with the same timestamp together, causing incorrect calculations. ...
In such cases, you can try to either minimize the number of rows to handle or pre-calculate these values. You see once again that it’s important to be aware of your environment, your query goal, … when you make decisions on which query to use! Isolate Columns in Conditions Also in ...
Using this rule of thumb, calculate your innodb_log_file_size such that it's big enough to let InnoDB optimize its I/O, but not so big that recovery takes a long time.