This was my second presentation taken on MySQL User Camp ( Bangalore ) held on Nov-08 2013. I have a made a presentation about the percona tools mostly used percona tools.
This document discusses various techniques for optimizing queries in MySQL databases. It covers storage engines like InnoDB and MyISAM, indexing strategies including different index types and usage examples, using explain plans to analyze query performance, and rewriting queries to improve efficiency by leveraging indexes and removing unnecessary functions. The goal of these optimization techniques is to reduce load on database servers and improve query response times as data volumes increase.
This is my presentation on MySQL user camp on 26-06-2015.
It gives basic introduction to Ansible and how it can be benefited for MySQL deployment and configuration.
1) MySQL live migration involves a 3 step process of taking a baseline dump/snapshot from the source database, setting up replication between the source and destination for continuous data movement, and finally performing a switchover to migrate to the destination.
2) The baseline dump uses mysqldump to export data, users, privileges and stored objects from the source and import to the destination. The --master-data option captures binary log coordinates for setting up replication.
3) Replication is setup using the binary log coordinates to synchronize data between the source and destination. Monitoring replication status ensures the destination lag is low before switchover.
On July 6, 2021, MariaDB 10.6 became generally available (production ready). This presentation focuses on the most important aspects of it as well as the influence it has. Improvements to InnoDB, SYS Schema Adoption, and deprecated variables and engines are all part of this presentation.
MariaDB with SphinxSE
- SphinxSE allows MariaDB to use Sphinx for full-text searching by acting as a storage engine that communicates with the Sphinx search daemon.
- It allows existing applications using MySQL full-text search to port to Sphinx searching more easily.
- SphinxSE passes Sphinx queries to searchd and returns the results to MariaDB, supporting many Sphinx query options and optimizations for sorting, filtering, and result slicing.
Percona Cluster ( Galera ) is one of the best database solution that provides synchronous replication. The feature like automatic recovery, GTID and multi threaded replication makes it powerful along with ( XtraDB and Xtrabackup ).
The good solution for MySQL HA.
Presto at Facebook - Presto Meetup @ Boston (10/6/2015)Martin Traverso
This document summarizes Presto, an analytics engine used at Facebook. It provides ad-hoc querying for data warehouses and batch processing. It is used for analytics across Facebook's data warehouses and specialized data stores. The document outlines Presto's architecture, deployment, usage statistics, features, and enhancements made for specific Facebook use cases including user-facing products, large datasets, and reliable data loading.
Tempto is a product test framework that allows developers to write and execute tests for SQL databases running on Hadoop. Individual test requirements such as data generation, HDFS file copy/storage of generated data and schema creation are expressed declaratively and are automatically fulfilled by the framework. Developers can write tests using Java (using a TestNG like paradigm and AssertJ style assertion) or by providing query files with expected results. We will show how we use it for presto product tests.
Benchto is a benchmark framework that provides an easy and manageable way to define, run and analyze macro benchmarks in clustered environment. Understanding behavior of distributed systems is hard and requires good visibility intostate of the cluster and internals of tested system. This project was developed for repeatable benchmarking ofHadoop SQL engines, most importantly Presto.
This document discusses various techniques for optimizing queries in MySQL databases. It covers storage engines like InnoDB and MyISAM, indexing strategies including different index types and usage examples, using explain plans to analyze query performance, and rewriting queries to improve efficiency by leveraging indexes and removing unnecessary functions. The goal of these optimization techniques is to reduce load on database servers and improve query response times as data volumes increase.
This is my presentation on MySQL user camp on 26-06-2015.
It gives basic introduction to Ansible and how it can be benefited for MySQL deployment and configuration.
1) MySQL live migration involves a 3 step process of taking a baseline dump/snapshot from the source database, setting up replication between the source and destination for continuous data movement, and finally performing a switchover to migrate to the destination.
2) The baseline dump uses mysqldump to export data, users, privileges and stored objects from the source and import to the destination. The --master-data option captures binary log coordinates for setting up replication.
3) Replication is setup using the binary log coordinates to synchronize data between the source and destination. Monitoring replication status ensures the destination lag is low before switchover.
On July 6, 2021, MariaDB 10.6 became generally available (production ready). This presentation focuses on the most important aspects of it as well as the influence it has. Improvements to InnoDB, SYS Schema Adoption, and deprecated variables and engines are all part of this presentation.
MariaDB with SphinxSE
- SphinxSE allows MariaDB to use Sphinx for full-text searching by acting as a storage engine that communicates with the Sphinx search daemon.
- It allows existing applications using MySQL full-text search to port to Sphinx searching more easily.
- SphinxSE passes Sphinx queries to searchd and returns the results to MariaDB, supporting many Sphinx query options and optimizations for sorting, filtering, and result slicing.
Percona Cluster ( Galera ) is one of the best database solution that provides synchronous replication. The feature like automatic recovery, GTID and multi threaded replication makes it powerful along with ( XtraDB and Xtrabackup ).
The good solution for MySQL HA.
Presto at Facebook - Presto Meetup @ Boston (10/6/2015)Martin Traverso
This document summarizes Presto, an analytics engine used at Facebook. It provides ad-hoc querying for data warehouses and batch processing. It is used for analytics across Facebook's data warehouses and specialized data stores. The document outlines Presto's architecture, deployment, usage statistics, features, and enhancements made for specific Facebook use cases including user-facing products, large datasets, and reliable data loading.
Tempto is a product test framework that allows developers to write and execute tests for SQL databases running on Hadoop. Individual test requirements such as data generation, HDFS file copy/storage of generated data and schema creation are expressed declaratively and are automatically fulfilled by the framework. Developers can write tests using Java (using a TestNG like paradigm and AssertJ style assertion) or by providing query files with expected results. We will show how we use it for presto product tests.
Benchto is a benchmark framework that provides an easy and manageable way to define, run and analyze macro benchmarks in clustered environment. Understanding behavior of distributed systems is hard and requires good visibility intostate of the cluster and internals of tested system. This project was developed for repeatable benchmarking ofHadoop SQL engines, most importantly Presto.
The document summarizes Presto's development over the past 10 months, current capabilities, and future plans. Presto is a distributed SQL query engine used at Facebook to query large datasets. Over the past 10 months it saw 30 releases, contributions from 42 developers, and optimizations that improved query performance by 50-300%. Facebook uses Presto to scan petabytes of data daily and process trillions of rows. Future plans include new SQL features, connectors, security improvements, and optimizing the planner and execution engine.
This document summarizes Spark as a service on YARN clusters and discusses key features:
- Spark on YARN allows running multiple workflows like Spark and Hadoop on the same cluster and improves resource utilization. The application master can dynamically request more containers as needed.
- Qubole YARN clusters support autoscaling to upscale and downscale based on load and use spot instances for cost savings.
- Spark applications were limited by initial resource allocation. Dynamic provisioning allows applications to request more executors or release unused executors to improve performance and cluster utilization.
RESTful API – How to Consume, Extract, Store and Visualize Data with InfluxDB...InfluxData
Nowadays, every single modern application, system or solution does expose a RESTful API. On one hand, this is absolutely great and it has led to where we are today, having hundreds of other solutions or applications that can leverage these APIs, extend them, or even build on top of them.
On the other hand, we have difficulty monitoring these new and modern systems, applications or solutions.
In this session, we will learn how to query the data first using Swagger, when available, extract and parse the data that’s useful for us, store it in InfluxDB, and finally how to create beautiful and meaningful dashboards to have everything on a single pane of glass.
1. The presenter discusses their use of Presto for analytics at their company, including joining data across different data sources and using window functions on MySQL data.
2. They explain how they integrate Presto with other tools like re:dash for visualization and Embulk for ETL workflows.
3. While Presto solves many of their problems, they still require some ETL and have encountered issues like large repository sizes and coordinator bottlenecks.
Scylla Summit 2022: What’s New in ScyllaDB Operator for KubernetesScyllaDB
This document summarizes the Scylla Operator for Kubernetes, including its developers, features, releases, and roadmap. Key points include:
- The Scylla Operator manages and automates tasks for Scylla clusters on Kubernetes.
- Features include seedless mode, security enhancements, performance tuning, and improved stability.
- It follows a rapid 6-week release cycle and supports the latest two releases.
- Future plans include additional performance optimizations, persistent storage support, TLS encryption, and multi-datacenter capabilities.
This document provides tips for troubleshooting common issues with Sqoop. It discusses how to effectively provide debugging information when seeking help, addresses specific problems with MySQL connections and importing to Hive, Oracle case-sensitive errors and export failures, and recommends best practices like using separate tables for import and export and specifying options correctly.
This document provides an introduction and overview of Sphinx, an open source search engine. It discusses Sphinx's features for searching and sorting, how it is implemented including its core components of indexer and searchd, and demonstrates how to install and configure Sphinx including its configuration file options.
Cloudflare uses ClickHouse to analyze over 1 million DNS queries per second from its global network. ClickHouse is a column-oriented database that allows Cloudflare to perform complex ad-hoc queries and aggregations over trillions of rows of DNS log data with dimensions like timestamp, zone, and location. They store raw logs for 3 months and aggregated data indefinitely to monitor trends and traffic over time. The multi-tenant ClickHouse cluster at Cloudflare inserts over 8 million rows per second and has excellent query performance for common aggregations used in their analytics.
Redis Day Keynote Salvatore Sanfillipo Redis LabsRedis Labs
Redis' seventh birthday was recently celebrated with the community, several contributors and users. This is Salvatore's keynote as he kicked off Redis Day in Tel Aviv.
Devrim Gunduz gives a presentation on Write-Ahead Logging (WAL) in PostgreSQL. WAL logs all transactions to files called write-ahead logs (WAL files) before changes are written to data files. This allows for crash recovery by replaying WAL files. WAL files are used for replication, backup, and point-in-time recovery (PITR) by replaying WAL files to restore the database to a previous state. Checkpoints write all dirty shared buffers to disk and update the pg_control file with the checkpoint location.
Evolution of MongoDB Replicaset and Its Best PracticesMydbops
There are several exciting and long-awaited features released from MongoDB 4.0. He will focus on the prime features, the kind of problem it solves, and the best practices for deploying replica sets.
Supercharging MySQL and MariaDB with Plug-ins (SCaLE 12x)Antony T Curtis
Slides for the presentation at SCaLE 12x Conference (21 Feb 2014)
A quick introduction to popular plug-ins for MySQL/MariaDB and ideas for how to use plug-ins to supercharge MySQL/MariaDB.
Postgres & Redis Sitting in a Tree- Rimas Silkaitis, HerokuRedis Labs
Postgres and Redis Sitting in a Tree | In today’s world of polyglot persistence, it’s likely that companies will be using multiple data stores for storing and working with data based on the use case. Typically a company will
start with a relational database like Postgres and then add Redis for more high velocity use-cases. What if you could tie the two systems together to enable so much more?
Beyond Postgres: Interesting Projects, Tools and forksSameer Kumar
This ppt was used at Aug Meetup of Postgres User Group Singapore. We talked about
• Cool tools and extensions like PostGIS
• Great projects like pgpool and pgbouncer
• Interesting forks of PostgreSQL like EnterpriseDB, GreenPlum etc
Interesting take-away from the session was -
• Ease Oracle Migration
• Load Balancing in PostgreSQL
• Spatial data in PostgreSQL
• Connection pooling and resource management
• Your next Data Warehouse project
Meetup page- http://www.meetup.com/PUGS-Postgres-Users-Group-Singapore/
Agenda
• Technical cases in PostgreSQL
• Database Monitoring Methods
By Rohit Vyas at India PostgreSQL UserGroup Meetup, Bangalore at InMobi.
http://technology.inmobi.com/events/india-postgresql-usergroup-meetup-bangalore
Spilo is a tool that provides high availability for PostgreSQL databases running on AWS. It uses Patroni and ETCD to handle replication, failover, and cluster state management. Teams at Zalando use Spilo to run over 150 PostgreSQL databases in a self-managed way on AWS, with each team responsible for their own databases. Spilo provides automation for deploying, replicating, and failing over PostgreSQL clusters on AWS, allowing for increased agility compared to managed database services.
Pt-query-digest analyzes slow query logs and query logs to rank queries by usage statistics. It collects queries for easy analysis with tools like Pt-Visual-explain. Pt-table-checksum checks replication integrity between MySQL masters and slaves by comparing checksums of data chunks. Pt-table-sync synchronizes table data between servers by copying data in chunks and checking primary keys. Pt-Online-Schema-Change (Pt-OSC) allows modifying table structures like adding columns without locking by creating a new table, triggers for changes, and swapping the tables. Pt-kill helps kill queries matching filters like specific users, databases, commands or patterns.
What you need to know for postgresql operationAnton Bushmelev
This document provides an overview of PostgreSQL architecture, transactions, connection pooling, monitoring, and tips. It discusses:
- PostgreSQL architecture including processes like the postmaster, background writer, and WAL writer.
- Transactions and concurrency using MVCC, with snapshots of data at a point in time and increasing transaction IDs for consistency.
- Connection pooling tools like PgPool and PgBouncer that help reuse connections and lower impact on the database.
- Monitoring options including Graphite, Zabbix, Graphana, log insight, and specific queries for stats, sessions, replication, checkpoints, caching, and queries.
- Tips like analyzing indexes, identifying duplicates, missing indexes
Python Utilities for Managing MySQL DatabasesMats Kindahl
Managing a MySQL database server can become a full time job. What we need are tools that bundle a set of related tasks into a common utility. While there are several such utility libraries to choose, it is often the case that you need to customize them to your needs. The MySQL Utilities library is the answer to that need. It is open source so you can modify and expand it as you see fit.
This is the presentation from OSCON 2011 in Portland.
The document summarizes Presto's development over the past 10 months, current capabilities, and future plans. Presto is a distributed SQL query engine used at Facebook to query large datasets. Over the past 10 months it saw 30 releases, contributions from 42 developers, and optimizations that improved query performance by 50-300%. Facebook uses Presto to scan petabytes of data daily and process trillions of rows. Future plans include new SQL features, connectors, security improvements, and optimizing the planner and execution engine.
This document summarizes Spark as a service on YARN clusters and discusses key features:
- Spark on YARN allows running multiple workflows like Spark and Hadoop on the same cluster and improves resource utilization. The application master can dynamically request more containers as needed.
- Qubole YARN clusters support autoscaling to upscale and downscale based on load and use spot instances for cost savings.
- Spark applications were limited by initial resource allocation. Dynamic provisioning allows applications to request more executors or release unused executors to improve performance and cluster utilization.
RESTful API – How to Consume, Extract, Store and Visualize Data with InfluxDB...InfluxData
Nowadays, every single modern application, system or solution does expose a RESTful API. On one hand, this is absolutely great and it has led to where we are today, having hundreds of other solutions or applications that can leverage these APIs, extend them, or even build on top of them.
On the other hand, we have difficulty monitoring these new and modern systems, applications or solutions.
In this session, we will learn how to query the data first using Swagger, when available, extract and parse the data that’s useful for us, store it in InfluxDB, and finally how to create beautiful and meaningful dashboards to have everything on a single pane of glass.
1. The presenter discusses their use of Presto for analytics at their company, including joining data across different data sources and using window functions on MySQL data.
2. They explain how they integrate Presto with other tools like re:dash for visualization and Embulk for ETL workflows.
3. While Presto solves many of their problems, they still require some ETL and have encountered issues like large repository sizes and coordinator bottlenecks.
Scylla Summit 2022: What’s New in ScyllaDB Operator for KubernetesScyllaDB
This document summarizes the Scylla Operator for Kubernetes, including its developers, features, releases, and roadmap. Key points include:
- The Scylla Operator manages and automates tasks for Scylla clusters on Kubernetes.
- Features include seedless mode, security enhancements, performance tuning, and improved stability.
- It follows a rapid 6-week release cycle and supports the latest two releases.
- Future plans include additional performance optimizations, persistent storage support, TLS encryption, and multi-datacenter capabilities.
This document provides tips for troubleshooting common issues with Sqoop. It discusses how to effectively provide debugging information when seeking help, addresses specific problems with MySQL connections and importing to Hive, Oracle case-sensitive errors and export failures, and recommends best practices like using separate tables for import and export and specifying options correctly.
This document provides an introduction and overview of Sphinx, an open source search engine. It discusses Sphinx's features for searching and sorting, how it is implemented including its core components of indexer and searchd, and demonstrates how to install and configure Sphinx including its configuration file options.
Cloudflare uses ClickHouse to analyze over 1 million DNS queries per second from its global network. ClickHouse is a column-oriented database that allows Cloudflare to perform complex ad-hoc queries and aggregations over trillions of rows of DNS log data with dimensions like timestamp, zone, and location. They store raw logs for 3 months and aggregated data indefinitely to monitor trends and traffic over time. The multi-tenant ClickHouse cluster at Cloudflare inserts over 8 million rows per second and has excellent query performance for common aggregations used in their analytics.
Redis Day Keynote Salvatore Sanfillipo Redis LabsRedis Labs
Redis' seventh birthday was recently celebrated with the community, several contributors and users. This is Salvatore's keynote as he kicked off Redis Day in Tel Aviv.
Devrim Gunduz gives a presentation on Write-Ahead Logging (WAL) in PostgreSQL. WAL logs all transactions to files called write-ahead logs (WAL files) before changes are written to data files. This allows for crash recovery by replaying WAL files. WAL files are used for replication, backup, and point-in-time recovery (PITR) by replaying WAL files to restore the database to a previous state. Checkpoints write all dirty shared buffers to disk and update the pg_control file with the checkpoint location.
Evolution of MongoDB Replicaset and Its Best PracticesMydbops
There are several exciting and long-awaited features released from MongoDB 4.0. He will focus on the prime features, the kind of problem it solves, and the best practices for deploying replica sets.
Supercharging MySQL and MariaDB with Plug-ins (SCaLE 12x)Antony T Curtis
Slides for the presentation at SCaLE 12x Conference (21 Feb 2014)
A quick introduction to popular plug-ins for MySQL/MariaDB and ideas for how to use plug-ins to supercharge MySQL/MariaDB.
Postgres & Redis Sitting in a Tree- Rimas Silkaitis, HerokuRedis Labs
Postgres and Redis Sitting in a Tree | In today’s world of polyglot persistence, it’s likely that companies will be using multiple data stores for storing and working with data based on the use case. Typically a company will
start with a relational database like Postgres and then add Redis for more high velocity use-cases. What if you could tie the two systems together to enable so much more?
Beyond Postgres: Interesting Projects, Tools and forksSameer Kumar
This ppt was used at Aug Meetup of Postgres User Group Singapore. We talked about
• Cool tools and extensions like PostGIS
• Great projects like pgpool and pgbouncer
• Interesting forks of PostgreSQL like EnterpriseDB, GreenPlum etc
Interesting take-away from the session was -
• Ease Oracle Migration
• Load Balancing in PostgreSQL
• Spatial data in PostgreSQL
• Connection pooling and resource management
• Your next Data Warehouse project
Meetup page- http://www.meetup.com/PUGS-Postgres-Users-Group-Singapore/
Agenda
• Technical cases in PostgreSQL
• Database Monitoring Methods
By Rohit Vyas at India PostgreSQL UserGroup Meetup, Bangalore at InMobi.
http://technology.inmobi.com/events/india-postgresql-usergroup-meetup-bangalore
Spilo is a tool that provides high availability for PostgreSQL databases running on AWS. It uses Patroni and ETCD to handle replication, failover, and cluster state management. Teams at Zalando use Spilo to run over 150 PostgreSQL databases in a self-managed way on AWS, with each team responsible for their own databases. Spilo provides automation for deploying, replicating, and failing over PostgreSQL clusters on AWS, allowing for increased agility compared to managed database services.
Pt-query-digest analyzes slow query logs and query logs to rank queries by usage statistics. It collects queries for easy analysis with tools like Pt-Visual-explain. Pt-table-checksum checks replication integrity between MySQL masters and slaves by comparing checksums of data chunks. Pt-table-sync synchronizes table data between servers by copying data in chunks and checking primary keys. Pt-Online-Schema-Change (Pt-OSC) allows modifying table structures like adding columns without locking by creating a new table, triggers for changes, and swapping the tables. Pt-kill helps kill queries matching filters like specific users, databases, commands or patterns.
What you need to know for postgresql operationAnton Bushmelev
This document provides an overview of PostgreSQL architecture, transactions, connection pooling, monitoring, and tips. It discusses:
- PostgreSQL architecture including processes like the postmaster, background writer, and WAL writer.
- Transactions and concurrency using MVCC, with snapshots of data at a point in time and increasing transaction IDs for consistency.
- Connection pooling tools like PgPool and PgBouncer that help reuse connections and lower impact on the database.
- Monitoring options including Graphite, Zabbix, Graphana, log insight, and specific queries for stats, sessions, replication, checkpoints, caching, and queries.
- Tips like analyzing indexes, identifying duplicates, missing indexes
Python Utilities for Managing MySQL DatabasesMats Kindahl
Managing a MySQL database server can become a full time job. What we need are tools that bundle a set of related tasks into a common utility. While there are several such utility libraries to choose, it is often the case that you need to customize them to your needs. The MySQL Utilities library is the answer to that need. It is open source so you can modify and expand it as you see fit.
This is the presentation from OSCON 2011 in Portland.
Performance Scenario: Diagnosing and resolving sudden slow down on two node RACKristofferson A
This document summarizes the steps taken to diagnose and resolve a sudden slow down issue affecting applications running on a two node Real Application Clusters (RAC) environment. The troubleshooting process involved systematically measuring performance at the operating system, database, and session levels. Key findings included high wait times and fragmentation issues on the network interconnect, which were resolved by replacing the network switch. Measuring performance using tools like ASH, AWR, and OS monitoring was essential to systematically diagnose the problem.
MySQL 5.7 innodb_enhance_partii_20160527Saewoong Lee
Release Date : 2016.05.27
Version : MySQL 5.7
Index :
- Part I : InnoDB Performance
- Part I : InnoDB Buffer Pool Flushing
- Part I : InnoDB internal Transaction General
- Part I : InnoDB Improved adaptive flushing
- Part II : InnoDB Online DDL
- Part II : Tablespace management
- Part II : InnoDB Bulk Load for Create Index
- Part II : InnoDB Temporary Tables
- Part II : InnoDB Full-Text CJK Support
- Part II : Support Syslog on Linux / Unix OS
- Part II : Performance_schema
- Part II : Useful tips
Using MySQL without Maatkit is like taking a photo without removing the camera's lens cap. Professional MySQL experts use this toolkit to help keep complex MySQL installations running smoothly and efficiently. This session will show you practical ways to use Maatkit every day.
This document discusses PostgreSQL query optimization techniques. It covers identifying slow queries, understanding query plans, and provides examples of optimizations like adding indexes and changing query structures. The key steps are finding queries to optimize using tools like EXPLAIN and pg_stat_statements, analyzing queries and plans to understand performance bottlenecks, and then making changes like creating indexes, restructuring queries, and adjusting configuration settings to improve performance.
Demystifying postgres logical replication percona live scEmanuel Calvo
This document provides an overview of logical replication in PostgreSQL, including:
- The different types of replication in PostgreSQL and how logical replication works
- How logical replication compares to MySQL replication and the elements involved
- What logical replication can be used for and some limitations
- Key concepts like publications, subscriptions, replication slots, and conflict handling
- Monitoring and configuration options for logical replication
Building a Complex, Real-Time Data Management ApplicationJonathan Katz
Congratulations: you've been selected to build an application that will manage whether or not the rooms for PGConf.EU are being occupied by a session!
On the surface, this sounds simple, but we will be managing the rooms of PGConf.EU, so we know that a lot of people will be accessing the system. Therefore, we need to ensure that the system can handle all of the eager users that will be flooding the PGConf.EU website checking to see what availability each of the PGConf.EU rooms has.
To do this, we will explore the following PGConf.EU features:
* Data types and their functionality, such as:
* Data/Time types
* Ranges
Indexes such as:
* GiST
* SP-Gist
* Common Table Expressions and Recursion
* Set generating functions and LATERAL queries
* Functions and the PL/PGSQL
* Triggers
* Logical decoding and streaming
We will be writing our application primary with SQL, though we will sneak in a little bit of Python and using Kafka to demonstrate the power of logical decoding.
At the end of the presentation, we will have a working application, and you will be happy knowing that you provided a wonderful user experience for all PGConf.EU attendees made possible by the innovation of PGConf.EU!
10 Reasons to Start Your Analytics Project with PostgreSQLSatoshi Nagayasu
PostgreSQL provides several advantages for analytics projects:
1) It allows connecting to external data sources and performing analytics queries across different data stores using features like foreign data wrappers.
2) Features like materialized views, transactional DDLs, and rich SQL capabilities help build effective data warehouses and data marts for analytics.
3) Performance optimizations like table partitioning, BRIN indexes, and parallel queries enable PostgreSQL to handle large datasets and complex queries efficiently.
Postgres Toolkit is a collection of scripts and utilities that allows database administrators to perform complicated PostgreSQL management tasks with single commands. It focuses on frequent tasks like monitoring performance, checking configuration, and managing backups. The open source toolkit currently contains 13 scripts that work on Linux systems and PostgreSQL versions 9.0 through 9.4. It can be installed with a single curl command and includes utilities like pt-config to manage configuration files and pt-session-profiler to monitor long-running queries.
The document discusses Oracle database performance tuning. It covers identifying and resolving performance issues through tools like AWR and ASH reports. Common causes of performance problems include wait events, old statistics, incorrect execution plans, and I/O issues. The document recommends collecting specific data when analyzing problems and provides references and scripts for further tuning tasks.
TokuDB is an ACID/transactional storage engine that makes MySQL even better by increasing performance, adding high compression, and allowing for true schema agility. All of these features are made possible by Tokutek's Fractal Tree indexes.
Prestogres is a PostgreSQL protocol gateway for Presto that allows Presto to be queried using standard BI tools through ODBC/JDBC. It works by rewriting queries at the pgpool-II middleware layer and executing the rewritten queries on Presto using PL/Python functions. This allows Presto to integrate with the existing BI tool ecosystem while avoiding the complexity of implementing the full PostgreSQL protocol. Key aspects of the Prestogres implementation include faking PostgreSQL system catalogs, handling multi-statement queries and errors, and security definition. Future work items include better supporting SQL syntax like casts and temporary tables.
hbaseconasia2019 Phoenix Practice in China Life Insurance Co., LtdMichael Stack
Yechao Chen
Track 3: Applications
https://open.mi.com/conference/hbasecon-asia-2019
THE COMMUNITY EVENT FOR APACHE HBASE™
July 20th, 2019 - Sheraton Hotel, Beijing, China
https://hbase.apache.org/hbaseconasia-2019/
Streaming ETL - from RDBMS to Dashboard with KSQLBjoern Rost
Apache Kafka is a massively scalable message queue that is being used at more and more places connecting more and more data sources. This presentation will introduce Kafka from the perspective of a mere mortal DBA and share the experience of (and challenges with) getting events from the database to Kafka using Kafka connect including poor-man’s CDC using flashback query and traditional logical replication tools. To demonstrate how and why this is a good idea, we will build an end-to-end data processing pipeline. We will discuss how to turn changes in database state into events and stream them into Apache Kafka. We will explore the basic concepts of streaming transformations using windows and KSQL before ingesting the transformed stream in a dashboard application.
Streaming in Practice - Putting Apache Kafka in Productionconfluent
This presentation focuses on how to integrate all these components into an enterprise environment and what things you need to consider as you move into production.
We will touch on the following topics:
- Patterns for integrating with existing data systems and applications
- Metadata management at enterprise scale
- Tradeoffs in performance, cost, availability and fault tolerance
- Choosing which cross-datacenter replication patterns fit with your application
- Considerations for operating Kafka-based data pipelines in production
The document discusses analyzing database systems using a 3D method for performance analysis. It introduces the 3D method, which looks at performance from the perspectives of the operating system (OS), Oracle database, and applications. The 3D method provides a holistic view of the system that can help identify issues and direct solutions. It also covers topics like time-based analysis in Oracle, how wait events are classified, and having a diagnostic framework for quick troubleshooting using tools like the Automatic Workload Repository report.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
ScyllaDB is making a major architecture shift. We’re moving from vNode replication to tablets – fragments of tables that are distributed independently, enabling dynamic data distribution and extreme elasticity. In this keynote, ScyllaDB co-founder and CTO Avi Kivity explains the reason for this shift, provides a look at the implementation and roadmap, and shares how this shift benefits ScyllaDB users.
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdfleebarnesutopia
So… you want to become a Test Automation Engineer (or hire and develop one)? While there’s quite a bit of information available about important technical and tool skills to master, there’s not enough discussion around the path to becoming an effective Test Automation Engineer that knows how to add VALUE. In my experience this had led to a proliferation of engineers who are proficient with tools and building frameworks but have skill and knowledge gaps, especially in software testing, that reduce the value they deliver with test automation.
In this talk, Lee will share his lessons learned from over 30 years of working with, and mentoring, hundreds of Test Automation Engineers. Whether you’re looking to get started in test automation or just want to improve your trade, this talk will give you a solid foundation and roadmap for ensuring your test automation efforts continuously add value. This talk is equally valuable for both aspiring Test Automation Engineers and those managing them! All attendees will take away a set of key foundational knowledge and a high-level learning path for leveling up test automation skills and ensuring they add value to their organizations.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
2. About me
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P.R.Karthik
3 Years plus experience in MySQL as a DBA.
Worked for various e-commerce companies in INDIA.
Currently in one of biggest MySQL server farms.
remotemysqldba.blogspot.in
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3. Percona Tool kit
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Maintained by Percona Team.
Originated from Aspersa and Maakit.
Initially Designed by Baron Schwartz.
Designed for MySQL and its forks.
Works on all Linux Platforms.
Matured and proven tool.
Set of 33 cmd line tools.
Latest version 2.2.5 ( 16-10-2013)
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9. Pt-query-digest
• It collects the queries and rank them based on the
usage stats.
• The queries collected can be analyzed easily.
Query Analyzers:
Pt-Visual-explain and Visual Explain ( MySQL 5.6
Workbench )
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11. Pt-table-checksum
It helps in checking the replication integrity of
mysql.
Need to check:
• Direct writes on slave.
• Skipping the events.
• Many others.
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13. Pt-table-checksum
How it works :
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Check for replication lag
Takes data in small chunks.
Make checksum on chunk with replace into select.
Displays the output.
Note: It has more safety options.
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15. Pt-table-sync
Synchronizes the data between the master and slave
servers.
It is a very effective tool and it can be used along with
pt-table-checksum to make the data sync.
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17. Pt-table-sync
How it works :
1) Check for replication lag and delay.
2) Takes data in small chunks.
3) Make the data check based on Pk or Unique index
most cases.
4) Then synchronizes the data.
Note: It is a read/write tool, precautions must be
taken.
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19. Pt-OSC
Helps in modifying the table structure without much
locking.
Need to alter:
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Adding an index for performance.
Modifying a column.
Adding a column.
Altering the engine
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20. Pt-OSC
How it works :
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Create a new table with modified structure.
Creates triggers for data changes.
Copies data in small chunks.
Swaps the table.
Drop the old table and triggers.
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21. Pt-OSC
Adding a column:
pt-online-schema-change --execute --user=pttool --pass=tool --alter "add
column region char(30)" D=world,t=page_city
Adding a Index:
pt-online-schema-change --execute --user=pttool --pass=tool --alter "add index
idx_dist (District)" D=world,t=page_city
Altering Engine :
pt-online-schema-change --execute --user=pttool –pass=tool --alter
"engine=innodb" D=world,t=hio_city
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23. Pt-kill
It helps to kill queries based on the filter input.
Repetitive and mass killing
Need to Kill:
• Application not closing the connection properly
• Ill framed resource consuming queries
• Too many bad queries running in parallel.
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24. Pt-kill
For sleep queries:
pt-kill --user kill --ask-pass --socket=/tmp/mysql.sock --database test --matchcommand Sleep --kill --print --victims all --interval 15
For user specific:
pt-kill --user kill --ask-pass --socket=/tmp/mysql.sock --print --match-user
benchmark --kill --victims all
For pattern match:
pt-kill --user kill --ask-pass --socket=/tmp/mysql.sock --kill-query --victims all
--database test --match-info 'SELECT DISTINCT c from sbtest'
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