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GSoC2014 - PGDay Ijui/RS Presentation October, 2016

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GSoC2014 - PGDay Ijui/RS Presentation October, 2016

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This presentation is about the work that I did during the Google Summer of Code 2014 to PostgreSQL. The project is about change an Unlogged Table to Logged and vice-versa. Project wiki page: https://wiki.postgresql.org/wiki/Allow_an_unlogged_table_to_be_changed_to_logged_GSoC_2014

I presented this lecture during a PGDay in Ijui/RS (2016-10-13).

This presentation is about the work that I did during the Google Summer of Code 2014 to PostgreSQL. The project is about change an Unlogged Table to Logged and vice-versa. Project wiki page: https://wiki.postgresql.org/wiki/Allow_an_unlogged_table_to_be_changed_to_logged_GSoC_2014

I presented this lecture during a PGDay in Ijui/RS (2016-10-13).

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GSoC2014 - PGDay Ijui/RS Presentation October, 2016

  1. 1. Sharing Code and Experiences @fabriziomello
  2. 2. Acknowledgements
  3. 3. About Me
  4. 4. Fabrízio de Royes Mello ● Bachelor in Information Systems in 2/2002 (URCAMP) ● Entrepeneur at http://timbira.com ● Agile Methodologies Specialization student 2014/2015 ● PostgreSQL colaborator since 2008 (Brazilian community and now the international too)
  5. 5. … and nowadays ● PostgreSQL contributor (more than 35 patches as developer and/or reviewer) ● Brazilian Community ○ http://postgresql.org.br ○ http://listas.postgresql.org.br ● PostgreSQL Consultant at Timbira ○ http://timbira.com.br
  6. 6. About Timbira The brazilian PostgreSQL Company
  7. 7. The brazilian PostgreSQL company ● Consulting ● Support ● Training ● Development (PostgreSQL related) http://www.timbira.com.br
  8. 8. Special gifts to participants 1. 2 (two) hours of “Free Health Check or Mentoring” with a Timbira PostgreSQL Consultant 2. 3 (three) training vouchers (100%) a. Fundamentals b. Backup and Restore c. Tuning
  9. 9. Just to stay all of us tuned!!! Everybody knows what a database is?
  10. 10. Is this a database?
  11. 11. Of course not!
  12. 12. But what wikipedia tell us? A database is an integrated and organized collection of logically related records or files or data that are stored in a computer system which consolidates records previously stored in a separate files into a common pool of data records that provides data for many applications. Source: http://en.wikipedia.org/wiki/Database
  13. 13. WTF???
  14. 14. Ok, more simple and in pt-br !! “Bancos de dados ou bases de dados são coleções organizadas de dados que se relacionam de forma a criar algum sentido (Informação) e dar mais eficiência durante uma pesquisa ou estudo.” (Wikipedia) Source: http://pt.wikipedia.org/wiki/Banco_de_dados
  15. 15. Database is a concept Relational Database Management Systems is the implementation of this concept
  16. 16. About PostgreSQL
  17. 17. About PostgreSQL The world’s most advanced open source database
  18. 18. PostgreSQL (http://postgresql.org) ● The world’s most advanced open source database ● Run in all major operating systems: Linux, UNIX (AIX, BSD, HP-UX, SGI IRIX, Mac OS X, Solaris, Tru64), and Windows ● Fully ACID compliant (Atomicity, Consistency, Isolation and Durability) ● Full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages) ● Native programming interfaces for C/C++, Java, .Net, Perl, Python, Ruby, Tcl, ODBC, among others.
  19. 19. PostgreSQL (http://postgresql.org) ● Before : born from INGRES ● 1986 : Project start (Berkley) ● 1987 : First Postgres version Postgres ● 1991 : (v 3) with the most of the actual features ● 1993 : (v 4.2) last released by Berkley ● 1994 : Andrew Yu and Jolly Chen release Postgre95 with support to SQL language ● 1997 : (v 6) Name changes to PostgreSQL ● 2000 : (v 7) Support to Foreign Keys
  20. 20. PostgreSQL (http://postgresql.org) ● 2005 : (v 8) Native port to Windows, Tablespaces, Savepoints, Point-In-Time-Recovery ● 2005 : (v 8.1) Two-phase Commit, Roles ● 2006 : (v 8.2) [Insert, Update, Delete] Returning, improve performance OLTP and BI ● 2008 : (v 8.3) Debug PL/PgSQL, Tsearch2 (XML) incorporated to the core, performance improvements ● 2009 : (v 8.4) Windowing Functions, Common Table Expressions and Recursive Queries, Parallel Restore, “pg_upgrade”
  21. 21. PostgreSQL (http://postgresql.org) ● 2010 : (v 9.0) Hot Standby and Streaming Replication ● 2011 : (v 9.1) Synchronous Replicacion, FDW (SQL/MED), CREATE EXTENSION, Unlogged Tables ● 2012 : (v 9.2) Index-only Scans, Cascading Replication, JSON, Range Types ● 2013 : (v 9.3) Materialized Views, Lateral Join, writable FDW, Event Triggers, Background Workers ● 2014 : (v 9.4) JSONB, Logical Decoding, Dynamic Background Workers
  22. 22. PostgreSQL (http://postgresql.org) ● 2015 : (v 9.5) INSERT … ON CONFLICT UPDATE (upsert), IMPORT FOREIGN SCHEMA, ALTER TABLE .. SET LOGGED, Parallel Infrastructure ● 2016 : (v 9.6) Parallel Sequencial Scan, Join and Aggregates
  23. 23. About FOOS and Google
  24. 24. FOSS (free and open source software) and me ● My first contact was using Linux in 1997 ● I fell in love with this culture since then ● In 1999 I met PostgreSQL so since then I knew this would be part of my life ● Because of this decision I had a lot of troubles, including financial… ● But here I am :-)
  25. 25. Is a global program that offers students stipends to write code for open source projects. We have worked with the open source community to identify and fund exciting projects for the upcoming summer.
  26. 26. Connect students to open source communities
  27. 27. GSoC and PostgreSQL ● Since 2006 ● Cool projects ○ Fast GiST index build ○ New phpPgAdmin Plugin Architecture (brazilian) ○ pgAdmin database designer ○ Better indexing for ranges ○ Document collection Foreign-data Wrapper
  28. 28. About My Project
  29. 29. At September 2011 PostgreSQL 9.1 introduced a new kind of table Unlogged Tables
  30. 30. What means “Unlogged”? First we need to know what means “WAL” PostgreSQL is Full-ACID and to guarantee data integrity uses a standard method called WAL (Write-Ahead Logging)
  31. 31. WAL (Write-Ahead Logging) “In computer science, write-ahead logging (WAL) is a family of techniques for providing atomicity and durability (two of the ACID properties) in database systems. In a system using WAL, all modifications are written to a log before they are applied. Usually both redo and undo information is stored in the log.” http://en.wikipedia.org/wiki/Write-ahead_logging
  32. 32. WAL (Write-Ahead Logging) ARIES (Algorithms for Recovery and Isolation Exploit Semantics) https://en.wikipedia.org/wiki/Algorithms_for_Re covery_and_Isolation_Exploiting_Semantics http://www.vldb.org/conf/1999/P1.pdf
  33. 33. WAL first rule!
  34. 34. Ok, and what means “Unlogged” ? ● Unlogged means that the data written in these tables is not written to WAL. ● So it makes written really, really fast compared to written into regular tables.
  35. 35. Demo Time
  36. 36. So I’ll use it to ALL of my tables... ● However you won’t want to do that, because ● They are neither crash-safe (an unlogged table is automatically truncated after a crash or unclean shutdown) ● And they are nor replicated using SR
  37. 37. But there are some cool use cases ● Speed ETL jobs ● Cache ● Session State ● Queues?! ● ...
  38. 38. And now we have the power to ... ● change from UNLOGGED to LOGGED ○ ALTER TABLE name SET LOGGED; ● change from LOGGED to UNLOGGED ○ ALTER TABLE name SET UNLOGGED;
  39. 39. Git commit message commit: f41872d0c1239d36ab03393c39ec0b70e9ee2a3c author: Alvaro Herrera <alvherre@alvh.no-ip.org> date: Fri, 22 Aug 2014 14:27:00 -0400 Implement ALTER TABLE .. SET LOGGED / UNLOGGED This enables changing permanent (logged) tables to unlogged and vice-versa. (Docs for ALTER TABLE / SET TABLESPACE got shuffled in an order that hopefully makes more sense than the original.) Author: Fabrízio de Royes Mello Reviewed by: Christoph Berg, Andres Freund, Thom Brown Some tweaking by Álvaro Herrera
  40. 40. How it works 1. Acquire AcessExclusiveLock 2. Check dependencies a. Cannot change temp tables b. Check Foreign Keys 3. Create new heap/toast with new relpersistence (pass down relpersistence to reindex_index) 4. Rewrite heap/toast 5. Rewrite indexes
  41. 41. Demo Time
  42. 42. Currently Caveats ● AccessExclusiveLock ● Rewrite datafiles
  43. 43. Future work ● Don’t rewrite datafiles when wal_level = minimal ● Unlogged Indexes on Regular Tables ● Unlogged Materialized Views (was reverted by Tom Lane because of the bad design)
  44. 44. Questions?
  45. 45. Special thanks to ● Stephen Frost (mentor) ● Josh Berkus and Thom Brown (organizers) ● Christoph Berg (patch review) ● Álvaro Herrera (patch review and commit) ● Maristela Kohlrausch de Andrade (my english teacher)
  46. 46. ● http://fabriziomello.github.io ● https://www.linkedin.com/in/fabriziomello ● @fabriziomello My contacts

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