PostgreSQL Portland Performance Practice Project - Database Test 2 Howto

Mar 5, 20094 likes3,415 views

The document provides a comprehensive guide for using the DBT-2 test kit for PostgreSQL performance testing, detailing prerequisites, installation instructions, and testing procedures. It includes directions for setting up the environment, building databases, running tests, and generating reports, along with information on necessary Perl modules and system statistics. Additionally, it mentions the licensing terms under a Creative Commons Attribution 3.0 Unported License.

PostgreSQL Portland Performance Practice Project - Database Test 2 Howto

This document summarizes the results of tuning a PostgreSQL database using the tool pgtune. It shows the performance improvements achieved by configuring various PostgreSQL configuration options like shared_buffers and work_mem as recommended by pgtune. It also discusses the effects of changing the effective_cache_size parameter and physical disk layout optimizations on an older system with multiple disk arrays. Overall, pgtune helped improve performance by 7% and separating data files from logs saw further gains.

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PostgreSQL autovacuum is important for garbage collection and preventing fragmentation. It works table-by-table to remove old tuples and collect statistics. While autovacuum settings are often left as defaults, it's best to configure it aggressively for OLTP workloads so it can work quickly in small portions. Autovacuum must be properly configured for replication as well to avoid conflicts. Tools exist to help remove existing bloat without needing to dump/restore the entire database.

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This document discusses streaming replication in PostgreSQL. It covers how streaming replication works, including the write-ahead log and replication processes. It also discusses setting up replication between a primary and standby server, including configuring the servers and verifying replication is working properly. Monitoring replication is discussed along with views and functions for checking replication status. Maintenance tasks like adding or removing standbys and pausing replication are also mentioned.

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1. A PostgreSQL database outage occurred at GitLab on January 31st due to a combination of factors including an increase in load, replication lag, and the deletion of the database directory. 2. Lessons learned include monitoring replication, using tools like pg_basebackup properly, and having backups and disaster recovery processes in place. 3. Recommended preventative measures include setting sane configuration values, automated testing of backups, assigning an owner for data durability, and improving documentation.

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1. Complete prerequisite database setup steps like creating a GoldenGate user. 2. Run GoldenGate scripts like ddl_setup.sql to install components for capturing DDL statements and creating necessary tables. 3. Grant the GGS_GGSUSER_ROLE role to the GoldenGate user to allow DDL replication. 4. Configure GoldenGate extract and replicat processes to synchronize the captured DDL statements between databases.

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The document discusses the top 10 mistakes Oracle DBAs make when migrating to PostgreSQL. These include: configuring PostgreSQL settings based on Oracle without understanding PostgreSQL's different architecture, preserving uppercase metadata which is lowercase in PostgreSQL, unnecessary use of tablespaces, not using PostgreSQL's native features like PL languages and data types, treating exceptions the same between the databases, and not properly handling null values. It emphasizes that PostgreSQL and Oracle have meaningful differences and to avoid porting Oracle concepts directly without understanding PostgreSQL.

pg_proctab: Accessing System Stats in PostgreSQLCommand Prompt., Inc

The document discusses using pg_proctab, a PostgreSQL extension that provides functions to query operating system process and statistics tables from within PostgreSQL. It demonstrates how to use pg_proctab to monitor CPU and memory usage, I/O, and other process-level metrics for queries. The document also shows how to generate custom reports on database activity and performance by taking snapshots before and after queries and analyzing the differences.

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The document discusses pg_proctab, a collection of stored functions for accessing PostgreSQL system statistics and operating system process data, allowing users to monitor and analyze query performance without leaving the database environment. It provides examples of various functions including pg_cputime, pg_loadavg, and pg_memusage, showing how to retrieve CPU, load, and memory statistics. Additionally, it covers how to create performance reports and monitor remote databases using pg_top.

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This OrionX's 14th semi-annual report on the state of the cryptocurrency mining market. The report focuses on Proof-of-Work cryptocurrencies since those use substantial supercomputer power to mint new coins and encode transactions on their blockchains. Only two make the cut this time, Bitcoin with $18 billion of annual economic value produced and Dogecoin with $1 billion. Bitcoin has now reached the Zettascale with typical hash rates of 0.9 Zettahashes per second. Bitcoin is powered by the world's largest decentralized supercomputer in a continuous winner take all lottery incentive network.

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“From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge,...Edge AI and Vision Alliance

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