Jessie Yujessieyu1.hashnode.dev·May 31, 2024DDIA Reading Notes - Chapter 3Chapter Overview This chapter dives into the fundamental operations of databases - how they store and retrieve data. It categorizes storage engines into two main groups: I. Online Transaction Processing (OLTP) Databases Optimized for user-facing app...DiscussDesigning Data-intensive ApplicationsDatabases
Shiv IyerProshiviyer.hashnode.dev·Mar 12, 2024How can you change the data type of the column in ClickHouse?Changing the data type of a column in ClickHouse, like in many database systems, is a sensitive operation and needs careful planning, especially in a production environment. Directly altering a column's data type isn't supported as a single operation...Discuss·90 readsClickHouse
Shiv IyerProshiviyer.hashnode.dev·Feb 24, 2024Effective Strategies to Restrict New Connections in PostgreSQL: A Practical GuideRestricting new connections to a PostgreSQL database is essential during maintenance periods or to manage system resources effectively. Here are several methods to achieve this: 1. Modify max_connections Setting The max_connections setting in the pos...Discuss·142 readsPostgreSQL
Shiv IyerProshiviyer.hashnode.dev·Feb 12, 2024Tips and Tricks for reducing Leaf Block Contention happening to InnoDBLeaf block contention in InnoDB tables can significantly impact the performance of your MySQL database, especially under high concurrency. This situation typically occurs when multiple transactions are trying to modify or lock rows in the same leaf b...DiscussMySQL
Shiv IyerProshiviyer.hashnode.dev·Feb 12, 2024Optimizing MySQL Performance: Navigating Pitfalls of Date Column DefaultsMySQL date columns come with certain default behaviors that, if not properly understood or managed, can lead to significant performance degradation in queries. Here's an overview of some "deadly defaults" associated with MySQL date columns and how th...Discuss·45 readsPostgreSQL
Shiv IyerProshiviyer.hashnode.dev·Feb 12, 2024Python Script for Monitoring ClickHouse Disk I/O and Generating Flame GraphsGenerating disk I/O patterns from a ClickHouse server and converting them to a flame graph involves multiple steps. You need to capture the disk I/O activity, process the data, and then visualize it as a flame graph. Here's a Python script outline to...DiscussClickHouse
Shiv IyerProshiviyer.hashnode.dev·Feb 4, 2024Mastering Time-Series Analysis in PostgreSQL with the DATE_BUCKET FunctionThe DATE_BUCKET function is a powerful tool in PostgreSQL for handling time-series data, particularly useful for aggregating records into fixed intervals. This function isn't available in all versions of PostgreSQL or might require specific extension...Discuss·53 readsPostgreSQL
Shiv IyerProshiviyer.hashnode.dev·Jan 25, 2024Tips and Tricks in Troubleshooting PostgreSQL Index Performance in JOIN OperationsIntroduction When it comes to optimizing the performance of JOIN operations in PostgreSQL, one of the key factors to consider is the performance of the indexes. Indexes play a crucial role in improving query performance by allowing the database to qu...Discuss·42 readsPostgreSQL
Ahmad Ateyablog.ahmadateya.com·Jun 4, 2023Columnar Databases & CompressionIntroduction In the previous article, we delved into the world of database storage, specifically focusing on disk-oriented DBMS and how tuples are stored within pages using different approaches such as the Tuple Oriented Approach, Slotted Pages Appro...Discuss·17 likes·66 readsCMU's Intro to DBMSDatabases
Saumya Guptasaumyagupta.hashnode.dev·May 29, 2023OLAP vs. OLTP - Which One's Your Data's Ally?Introduction In today's fast-paced business world, data processing holds tremendous significance. It acts as a powerful tool for organizations to extract valuable insights from their data and make informed decisions that drive success. Amidst the vas...Discuss·10 likes·32 readsOLAP
