SlideShare a Scribd company logo
1 of 12
Download to read offline
Presto in my use case
Presto Meetup 2015/01/20
http://eventdots.jp/event/276987
@wyukawa
Agenda
•  Log Analysis System Overview
•  Why do I select Presto?
•  How do I use Presto?
•  How do I manage Presto?
•  My impression for Presto
Log Analysis System Overview
Hadoop, Hive of HDP2.1
Azkaban
2.6.4
Presto 0.89
Cognos
10.2.1
Prestogres
0.4.8
DB
MySQL 5.5
DBDB
ETL with
Python 2.7.7
InfiniDB
Pentaho
Saiku
Shib
Why do I select Presto?
•  my familiar(on Twitter) people use
•  comparison with other is a bother
•  Let s try!
How do I use Presto?
•  batch with Hive on MR2(not Tez)
•  select only with Presto
•  execute adhoc query
•  report by Cognos with Prestogres
•  create presto view
http://d.hatena.ne.jp/wyukawa/20140824/1408881620
What is Cognos?
•  Commercial BI tool by IBM
•  Pros
•  authorization management
•  flexible reporting(but not easy)
•  Cons
•  slow rendering speed
•  no permanent link
•  difficult to understand error message
•  web site(especially download site) is bad
•  Windows and IE are necessary
What is Prestogres?
PostgreSQL
pgpool-II
(patched)
BI tool
Presto
Prestogres
Why do I use Prestogres?
•  Interesting
•  MySQL is possible to be a bottleneck
•  Hadoop is easier to scale than MySQL
•  reduce maintenance cost for multi storages
•  but not achieve
Prestogres in my use case
Presto 0.89
Cognos
10.2.1
Prestogres
0.4.8
Prestogres
ODBC Driver
It is not easy to connect Cognos to Presto.
Thanks! > @frsyuki
http://d.hatena.ne.jp/wyukawa/20140623/1403521909
Problem in my use case
•  Cognos don t issue where cause with Presgtogres+ODBC
•  select … from … where yyyymmdd= 20150120 …
•  slow rendering because of no predicate pushdown
•  workaround is to use bigint to where cause, not string
•  solution(not deploy in production. BTW, Thanks! > @frsyuki )
•  Cognos 10.2.2
•  patched(protocolVersion=2) PostgreSQL JDBC Driver
•  Prestogres 0.6.3
•  Presto 0.86
•  increase dentry cache
http://d.hatena.ne.jp/wyukawa/20141216/1418706186
How do I manage Presto?
•  How to deploy Presto?
•  use Ansible
•  Presto Setting
•  task.cpu-timer-enabled=false
•  How to monitor Presto?
•  GrowthForecast + jstat2gf, JMX
•  slow query visualization by nata2
http://d.hatena.ne.jp/wyukawa/20140803/1407052542
http://d.hatena.ne.jp/wyukawa/20141218/1418882574
My impression for Presto
•  stable
•  frequent version up
•  easy to install
•  easy to upgrade
•  but failed at 0.80, 0.87
•  leverage effect

More Related Content

What's hot

Treasure Data and AWS - Developers.io 2015
Treasure Data and AWS - Developers.io 2015Treasure Data and AWS - Developers.io 2015
Treasure Data and AWS - Developers.io 2015N Masahiro
 
Presto - Analytical Database. Overview and use cases.
Presto - Analytical Database. Overview and use cases.Presto - Analytical Database. Overview and use cases.
Presto - Analytical Database. Overview and use cases.Wojciech Biela
 
Presto - Hadoop Conference Japan 2014
Presto - Hadoop Conference Japan 2014Presto - Hadoop Conference Japan 2014
Presto - Hadoop Conference Japan 2014Sadayuki Furuhashi
 
Boston Hadoop Meetup: Presto for the Enterprise
Boston Hadoop Meetup: Presto for the EnterpriseBoston Hadoop Meetup: Presto for the Enterprise
Boston Hadoop Meetup: Presto for the EnterpriseMatt Fuller
 
Presto meetup 2015-03-19 @Facebook
Presto meetup 2015-03-19 @FacebookPresto meetup 2015-03-19 @Facebook
Presto meetup 2015-03-19 @FacebookTreasure Data, Inc.
 
Presto at Twitter
Presto at TwitterPresto at Twitter
Presto at TwitterBill Graham
 
Presto Strata Hadoop SJ 2016 short talk
Presto Strata Hadoop SJ 2016 short talkPresto Strata Hadoop SJ 2016 short talk
Presto Strata Hadoop SJ 2016 short talkkbajda
 
How to ensure Presto scalability 
in multi use case
How to ensure Presto scalability 
in multi use case How to ensure Presto scalability 
in multi use case
How to ensure Presto scalability 
in multi use case Kai Sasaki
 
Presto @ Treasure Data - Presto Meetup Boston 2015
Presto @ Treasure Data - Presto Meetup Boston 2015Presto @ Treasure Data - Presto Meetup Boston 2015
Presto @ Treasure Data - Presto Meetup Boston 2015Taro L. Saito
 
Presto Testing Tools: Benchto & Tempto (Presto Boston Meetup 10062015)
Presto Testing Tools: Benchto & Tempto (Presto Boston Meetup 10062015)Presto Testing Tools: Benchto & Tempto (Presto Boston Meetup 10062015)
Presto Testing Tools: Benchto & Tempto (Presto Boston Meetup 10062015)Matt Fuller
 
Facebook Presto presentation
Facebook Presto presentationFacebook Presto presentation
Facebook Presto presentationCyanny LIANG
 
Tale of ISUCON and Its Bench Tools
Tale of ISUCON and Its Bench ToolsTale of ISUCON and Its Bench Tools
Tale of ISUCON and Its Bench ToolsSATOSHI TAGOMORI
 
Lessons PostgreSQL learned from commercial databases, and didn’t
Lessons PostgreSQL learned from commercial databases, and didn’tLessons PostgreSQL learned from commercial databases, and didn’t
Lessons PostgreSQL learned from commercial databases, and didn’tPGConf APAC
 
Logging for Production Systems in The Container Era
Logging for Production Systems in The Container EraLogging for Production Systems in The Container Era
Logging for Production Systems in The Container EraSadayuki Furuhashi
 
Hello, Enterprise! Meet Presto. (Presto Boston Meetup 10062015)
Hello, Enterprise! Meet Presto. (Presto Boston Meetup 10062015)Hello, Enterprise! Meet Presto. (Presto Boston Meetup 10062015)
Hello, Enterprise! Meet Presto. (Presto Boston Meetup 10062015)Matt Fuller
 
Presto in my_use_case2
Presto in my_use_case2Presto in my_use_case2
Presto in my_use_case2wyukawa
 
Planet-scale Data Ingestion Pipeline: Bigdam
Planet-scale Data Ingestion Pipeline: BigdamPlanet-scale Data Ingestion Pipeline: Bigdam
Planet-scale Data Ingestion Pipeline: BigdamSATOSHI TAGOMORI
 
PostgreSQL Enterprise Class Features and Capabilities
PostgreSQL Enterprise Class Features and CapabilitiesPostgreSQL Enterprise Class Features and Capabilities
PostgreSQL Enterprise Class Features and CapabilitiesPGConf APAC
 

What's hot (20)

Treasure Data and AWS - Developers.io 2015
Treasure Data and AWS - Developers.io 2015Treasure Data and AWS - Developers.io 2015
Treasure Data and AWS - Developers.io 2015
 
Presto - Analytical Database. Overview and use cases.
Presto - Analytical Database. Overview and use cases.Presto - Analytical Database. Overview and use cases.
Presto - Analytical Database. Overview and use cases.
 
Presto - Hadoop Conference Japan 2014
Presto - Hadoop Conference Japan 2014Presto - Hadoop Conference Japan 2014
Presto - Hadoop Conference Japan 2014
 
Boston Hadoop Meetup: Presto for the Enterprise
Boston Hadoop Meetup: Presto for the EnterpriseBoston Hadoop Meetup: Presto for the Enterprise
Boston Hadoop Meetup: Presto for the Enterprise
 
Presto meetup 2015-03-19 @Facebook
Presto meetup 2015-03-19 @FacebookPresto meetup 2015-03-19 @Facebook
Presto meetup 2015-03-19 @Facebook
 
Presto at Twitter
Presto at TwitterPresto at Twitter
Presto at Twitter
 
Presto Strata Hadoop SJ 2016 short talk
Presto Strata Hadoop SJ 2016 short talkPresto Strata Hadoop SJ 2016 short talk
Presto Strata Hadoop SJ 2016 short talk
 
How to ensure Presto scalability 
in multi use case
How to ensure Presto scalability 
in multi use case How to ensure Presto scalability 
in multi use case
How to ensure Presto scalability 
in multi use case
 
Prestogres internals
Prestogres internalsPrestogres internals
Prestogres internals
 
Presto @ Treasure Data - Presto Meetup Boston 2015
Presto @ Treasure Data - Presto Meetup Boston 2015Presto @ Treasure Data - Presto Meetup Boston 2015
Presto @ Treasure Data - Presto Meetup Boston 2015
 
Presto Testing Tools: Benchto & Tempto (Presto Boston Meetup 10062015)
Presto Testing Tools: Benchto & Tempto (Presto Boston Meetup 10062015)Presto Testing Tools: Benchto & Tempto (Presto Boston Meetup 10062015)
Presto Testing Tools: Benchto & Tempto (Presto Boston Meetup 10062015)
 
Facebook Presto presentation
Facebook Presto presentationFacebook Presto presentation
Facebook Presto presentation
 
Tale of ISUCON and Its Bench Tools
Tale of ISUCON and Its Bench ToolsTale of ISUCON and Its Bench Tools
Tale of ISUCON and Its Bench Tools
 
tdtechtalk20160330johan
tdtechtalk20160330johantdtechtalk20160330johan
tdtechtalk20160330johan
 
Lessons PostgreSQL learned from commercial databases, and didn’t
Lessons PostgreSQL learned from commercial databases, and didn’tLessons PostgreSQL learned from commercial databases, and didn’t
Lessons PostgreSQL learned from commercial databases, and didn’t
 
Logging for Production Systems in The Container Era
Logging for Production Systems in The Container EraLogging for Production Systems in The Container Era
Logging for Production Systems in The Container Era
 
Hello, Enterprise! Meet Presto. (Presto Boston Meetup 10062015)
Hello, Enterprise! Meet Presto. (Presto Boston Meetup 10062015)Hello, Enterprise! Meet Presto. (Presto Boston Meetup 10062015)
Hello, Enterprise! Meet Presto. (Presto Boston Meetup 10062015)
 
Presto in my_use_case2
Presto in my_use_case2Presto in my_use_case2
Presto in my_use_case2
 
Planet-scale Data Ingestion Pipeline: Bigdam
Planet-scale Data Ingestion Pipeline: BigdamPlanet-scale Data Ingestion Pipeline: Bigdam
Planet-scale Data Ingestion Pipeline: Bigdam
 
PostgreSQL Enterprise Class Features and Capabilities
PostgreSQL Enterprise Class Features and CapabilitiesPostgreSQL Enterprise Class Features and Capabilities
PostgreSQL Enterprise Class Features and Capabilities
 

Viewers also liked

PYNQで○○してみた!
PYNQで○○してみた!PYNQで○○してみた!
PYNQで○○してみた!aster_ism
 
PYNQ 祭り: Pmod のプログラミング
PYNQ 祭り: Pmod のプログラミングPYNQ 祭り: Pmod のプログラミング
PYNQ 祭り: Pmod のプログラミングryos36
 
APACHE TOREE: A JUPYTER KERNEL FOR SPARK by Marius van Niekerk
APACHE TOREE: A JUPYTER KERNEL FOR SPARK by Marius van NiekerkAPACHE TOREE: A JUPYTER KERNEL FOR SPARK by Marius van Niekerk
APACHE TOREE: A JUPYTER KERNEL FOR SPARK by Marius van NiekerkSpark Summit
 
20171012 found IT #9 PySparkの勘所
20171012 found  IT #9 PySparkの勘所20171012 found  IT #9 PySparkの勘所
20171012 found IT #9 PySparkの勘所Ryuji Tamagawa
 
[db analytics showcase Sapporo 2017] A15: Pythonでの分散処理再入門 by 株式会社HPCソリューションズ ...
[db analytics showcase Sapporo 2017] A15: Pythonでの分散処理再入門 by 株式会社HPCソリューションズ ...[db analytics showcase Sapporo 2017] A15: Pythonでの分散処理再入門 by 株式会社HPCソリューションズ ...
[db analytics showcase Sapporo 2017] A15: Pythonでの分散処理再入門 by 株式会社HPCソリューションズ ...Insight Technology, Inc.
 
PYNQ祭りLT todotani
PYNQ祭りLT todotaniPYNQ祭りLT todotani
PYNQ祭りLT todotaniKenshi Kamiya
 
PYNQ単体でUIを表示してみる(PYNQまつり)
PYNQ単体でUIを表示してみる(PYNQまつり)PYNQ単体でUIを表示してみる(PYNQまつり)
PYNQ単体でUIを表示してみる(PYNQまつり)Kenta IDA
 
Pynqでカメラ画像をリアルタイムfastx コーナー検出
Pynqでカメラ画像をリアルタイムfastx コーナー検出Pynqでカメラ画像をリアルタイムfastx コーナー検出
Pynqでカメラ画像をリアルタイムfastx コーナー検出marsee101
 
20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所
20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所
20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所Ryuji Tamagawa
 
20170210 sapporotechbar7
20170210 sapporotechbar720170210 sapporotechbar7
20170210 sapporotechbar7Ryuji Tamagawa
 
コンピュータエンジニアへのFPGAのすすめ
コンピュータエンジニアへのFPGAのすすめコンピュータエンジニアへのFPGAのすすめ
コンピュータエンジニアへのFPGAのすすめTakeshi HASEGAWA
 

Viewers also liked (13)

PYNQで○○してみた!
PYNQで○○してみた!PYNQで○○してみた!
PYNQで○○してみた!
 
PYNQ 祭り: Pmod のプログラミング
PYNQ 祭り: Pmod のプログラミングPYNQ 祭り: Pmod のプログラミング
PYNQ 祭り: Pmod のプログラミング
 
APACHE TOREE: A JUPYTER KERNEL FOR SPARK by Marius van Niekerk
APACHE TOREE: A JUPYTER KERNEL FOR SPARK by Marius van NiekerkAPACHE TOREE: A JUPYTER KERNEL FOR SPARK by Marius van Niekerk
APACHE TOREE: A JUPYTER KERNEL FOR SPARK by Marius van Niekerk
 
20171012 found IT #9 PySparkの勘所
20171012 found  IT #9 PySparkの勘所20171012 found  IT #9 PySparkの勘所
20171012 found IT #9 PySparkの勘所
 
[db analytics showcase Sapporo 2017] A15: Pythonでの分散処理再入門 by 株式会社HPCソリューションズ ...
[db analytics showcase Sapporo 2017] A15: Pythonでの分散処理再入門 by 株式会社HPCソリューションズ ...[db analytics showcase Sapporo 2017] A15: Pythonでの分散処理再入門 by 株式会社HPCソリューションズ ...
[db analytics showcase Sapporo 2017] A15: Pythonでの分散処理再入門 by 株式会社HPCソリューションズ ...
 
Pynq祭り資料
Pynq祭り資料Pynq祭り資料
Pynq祭り資料
 
PYNQ祭りLT todotani
PYNQ祭りLT todotaniPYNQ祭りLT todotani
PYNQ祭りLT todotani
 
PYNQ単体でUIを表示してみる(PYNQまつり)
PYNQ単体でUIを表示してみる(PYNQまつり)PYNQ単体でUIを表示してみる(PYNQまつり)
PYNQ単体でUIを表示してみる(PYNQまつり)
 
PYNQ祭り
PYNQ祭りPYNQ祭り
PYNQ祭り
 
Pynqでカメラ画像をリアルタイムfastx コーナー検出
Pynqでカメラ画像をリアルタイムfastx コーナー検出Pynqでカメラ画像をリアルタイムfastx コーナー検出
Pynqでカメラ画像をリアルタイムfastx コーナー検出
 
20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所
20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所
20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所
 
20170210 sapporotechbar7
20170210 sapporotechbar720170210 sapporotechbar7
20170210 sapporotechbar7
 
コンピュータエンジニアへのFPGAのすすめ
コンピュータエンジニアへのFPGAのすすめコンピュータエンジニアへのFPGAのすすめ
コンピュータエンジニアへのFPGAのすすめ
 

Similar to Presto in my_use_case

kranonit S06E01 Игорь Цинько: High load
kranonit S06E01 Игорь Цинько: High loadkranonit S06E01 Игорь Цинько: High load
kranonit S06E01 Игорь Цинько: High loadKrivoy Rog IT Community
 
Silverstripe at scale - design & architecture for silverstripe applications
Silverstripe at scale - design & architecture for silverstripe applicationsSilverstripe at scale - design & architecture for silverstripe applications
Silverstripe at scale - design & architecture for silverstripe applicationsBrettTasker
 
Optimizing Access with SQL Server
Optimizing Access with SQL ServerOptimizing Access with SQL Server
Optimizing Access with SQL ServerPRPASS Chapter
 
PGConf.ASIA 2019 Bali - Keynote Speech 2 - Ivan Pachenko
PGConf.ASIA 2019 Bali - Keynote Speech 2 - Ivan PachenkoPGConf.ASIA 2019 Bali - Keynote Speech 2 - Ivan Pachenko
PGConf.ASIA 2019 Bali - Keynote Speech 2 - Ivan PachenkoEqunix Business Solutions
 
Release Management with Visual Studio Team Services and Office Dev PnP
Release Management with Visual Studio Team Services and Office Dev PnPRelease Management with Visual Studio Team Services and Office Dev PnP
Release Management with Visual Studio Team Services and Office Dev PnPPetter Skodvin-Hvammen
 
Serverless java
Serverless   javaServerless   java
Serverless javaVishwas N
 
pandas.(to/from)_sql is simple but not fast
pandas.(to/from)_sql is simple but not fastpandas.(to/from)_sql is simple but not fast
pandas.(to/from)_sql is simple but not fastUwe Korn
 
Vincent biret azure functions and flow (toronto)
Vincent biret azure functions and flow (toronto)Vincent biret azure functions and flow (toronto)
Vincent biret azure functions and flow (toronto)Vincent Biret
 
Vincent biret azure functions and flow (ottawa)
Vincent biret azure functions and flow (ottawa)Vincent biret azure functions and flow (ottawa)
Vincent biret azure functions and flow (ottawa)Vincent Biret
 
What SQL DBAs need to know about SharePoint-Kansas City, Sept 2013
What SQL DBAs need to know about SharePoint-Kansas City, Sept 2013What SQL DBAs need to know about SharePoint-Kansas City, Sept 2013
What SQL DBAs need to know about SharePoint-Kansas City, Sept 2013J.D. Wade
 
Presto – Today and Beyond – The Open Source SQL Engine for Querying all Data...
Presto – Today and Beyond – The Open Source SQL Engine for Querying all Data...Presto – Today and Beyond – The Open Source SQL Engine for Querying all Data...
Presto – Today and Beyond – The Open Source SQL Engine for Querying all Data...Dipti Borkar
 
AdminCamp 2017 - IBM Connections Adminblast
AdminCamp 2017 - IBM Connections AdminblastAdminCamp 2017 - IBM Connections Adminblast
AdminCamp 2017 - IBM Connections AdminblastNico Meisenzahl
 
SharePoint Performance Monitoring with Sean P. McDonough
SharePoint Performance Monitoring with Sean P. McDonoughSharePoint Performance Monitoring with Sean P. McDonough
SharePoint Performance Monitoring with Sean P. McDonoughGabrijela Orsag
 
How to Monitor Postgres Like a Pro!
How to Monitor Postgres Like a Pro!How to Monitor Postgres Like a Pro!
How to Monitor Postgres Like a Pro!EDB
 
Microservices: The Best Practices
Microservices: The Best PracticesMicroservices: The Best Practices
Microservices: The Best PracticesPavel Mička
 
Speed up Interactive Analytic Queries over Existing Big Data on Hadoop with P...
Speed up Interactive Analytic Queries over Existing Big Data on Hadoop with P...Speed up Interactive Analytic Queries over Existing Big Data on Hadoop with P...
Speed up Interactive Analytic Queries over Existing Big Data on Hadoop with P...viirya
 
PostgreSQL as a Strategic Tool
PostgreSQL as a Strategic ToolPostgreSQL as a Strategic Tool
PostgreSQL as a Strategic ToolEDB
 
Client Side Performance for Back End Developers - Cambridge .NET User Group -...
Client Side Performance for Back End Developers - Cambridge .NET User Group -...Client Side Performance for Back End Developers - Cambridge .NET User Group -...
Client Side Performance for Back End Developers - Cambridge .NET User Group -...Bart Read
 
SPS calgary 2017 introduction to azure functions microsoft flow
SPS calgary 2017 introduction to azure functions microsoft flowSPS calgary 2017 introduction to azure functions microsoft flow
SPS calgary 2017 introduction to azure functions microsoft flowVincent Biret
 
Sps philly 2015 create your own dev vm
Sps philly 2015   create your own dev vmSps philly 2015   create your own dev vm
Sps philly 2015 create your own dev vmGaurav Mahajan
 

Similar to Presto in my_use_case (20)

kranonit S06E01 Игорь Цинько: High load
kranonit S06E01 Игорь Цинько: High loadkranonit S06E01 Игорь Цинько: High load
kranonit S06E01 Игорь Цинько: High load
 
Silverstripe at scale - design & architecture for silverstripe applications
Silverstripe at scale - design & architecture for silverstripe applicationsSilverstripe at scale - design & architecture for silverstripe applications
Silverstripe at scale - design & architecture for silverstripe applications
 
Optimizing Access with SQL Server
Optimizing Access with SQL ServerOptimizing Access with SQL Server
Optimizing Access with SQL Server
 
PGConf.ASIA 2019 Bali - Keynote Speech 2 - Ivan Pachenko
PGConf.ASIA 2019 Bali - Keynote Speech 2 - Ivan PachenkoPGConf.ASIA 2019 Bali - Keynote Speech 2 - Ivan Pachenko
PGConf.ASIA 2019 Bali - Keynote Speech 2 - Ivan Pachenko
 
Release Management with Visual Studio Team Services and Office Dev PnP
Release Management with Visual Studio Team Services and Office Dev PnPRelease Management with Visual Studio Team Services and Office Dev PnP
Release Management with Visual Studio Team Services and Office Dev PnP
 
Serverless java
Serverless   javaServerless   java
Serverless java
 
pandas.(to/from)_sql is simple but not fast
pandas.(to/from)_sql is simple but not fastpandas.(to/from)_sql is simple but not fast
pandas.(to/from)_sql is simple but not fast
 
Vincent biret azure functions and flow (toronto)
Vincent biret azure functions and flow (toronto)Vincent biret azure functions and flow (toronto)
Vincent biret azure functions and flow (toronto)
 
Vincent biret azure functions and flow (ottawa)
Vincent biret azure functions and flow (ottawa)Vincent biret azure functions and flow (ottawa)
Vincent biret azure functions and flow (ottawa)
 
What SQL DBAs need to know about SharePoint-Kansas City, Sept 2013
What SQL DBAs need to know about SharePoint-Kansas City, Sept 2013What SQL DBAs need to know about SharePoint-Kansas City, Sept 2013
What SQL DBAs need to know about SharePoint-Kansas City, Sept 2013
 
Presto – Today and Beyond – The Open Source SQL Engine for Querying all Data...
Presto – Today and Beyond – The Open Source SQL Engine for Querying all Data...Presto – Today and Beyond – The Open Source SQL Engine for Querying all Data...
Presto – Today and Beyond – The Open Source SQL Engine for Querying all Data...
 
AdminCamp 2017 - IBM Connections Adminblast
AdminCamp 2017 - IBM Connections AdminblastAdminCamp 2017 - IBM Connections Adminblast
AdminCamp 2017 - IBM Connections Adminblast
 
SharePoint Performance Monitoring with Sean P. McDonough
SharePoint Performance Monitoring with Sean P. McDonoughSharePoint Performance Monitoring with Sean P. McDonough
SharePoint Performance Monitoring with Sean P. McDonough
 
How to Monitor Postgres Like a Pro!
How to Monitor Postgres Like a Pro!How to Monitor Postgres Like a Pro!
How to Monitor Postgres Like a Pro!
 
Microservices: The Best Practices
Microservices: The Best PracticesMicroservices: The Best Practices
Microservices: The Best Practices
 
Speed up Interactive Analytic Queries over Existing Big Data on Hadoop with P...
Speed up Interactive Analytic Queries over Existing Big Data on Hadoop with P...Speed up Interactive Analytic Queries over Existing Big Data on Hadoop with P...
Speed up Interactive Analytic Queries over Existing Big Data on Hadoop with P...
 
PostgreSQL as a Strategic Tool
PostgreSQL as a Strategic ToolPostgreSQL as a Strategic Tool
PostgreSQL as a Strategic Tool
 
Client Side Performance for Back End Developers - Cambridge .NET User Group -...
Client Side Performance for Back End Developers - Cambridge .NET User Group -...Client Side Performance for Back End Developers - Cambridge .NET User Group -...
Client Side Performance for Back End Developers - Cambridge .NET User Group -...
 
SPS calgary 2017 introduction to azure functions microsoft flow
SPS calgary 2017 introduction to azure functions microsoft flowSPS calgary 2017 introduction to azure functions microsoft flow
SPS calgary 2017 introduction to azure functions microsoft flow
 
Sps philly 2015 create your own dev vm
Sps philly 2015   create your own dev vmSps philly 2015   create your own dev vm
Sps philly 2015 create your own dev vm
 

More from wyukawa

Presto conferencetokyo2019
Presto conferencetokyo2019Presto conferencetokyo2019
Presto conferencetokyo2019wyukawa
 
Strata2017 sg
Strata2017 sgStrata2017 sg
Strata2017 sgwyukawa
 
Azkaban-en
Azkaban-enAzkaban-en
Azkaban-enwyukawa
 
Upgrading from-hdp-21-to-hdp-25
Upgrading from-hdp-21-to-hdp-25Upgrading from-hdp-21-to-hdp-25
Upgrading from-hdp-21-to-hdp-25wyukawa
 
Promcon2016
Promcon2016Promcon2016
Promcon2016wyukawa
 
Prometheus london
Prometheus londonPrometheus london
Prometheus londonwyukawa
 
Prometheus casual talk1
Prometheus casual talk1Prometheus casual talk1
Prometheus casual talk1wyukawa
 
My ambariexperience
My ambariexperienceMy ambariexperience
My ambariexperiencewyukawa
 
Prometheus
PrometheusPrometheus
Prometheuswyukawa
 
Upgrading from-hdp-21-to-hdp-24
Upgrading from-hdp-21-to-hdp-24Upgrading from-hdp-21-to-hdp-24
Upgrading from-hdp-21-to-hdp-24wyukawa
 
Hive sourcecodereading
Hive sourcecodereadingHive sourcecodereading
Hive sourcecodereadingwyukawa
 
Hdfs write
Hdfs writeHdfs write
Hdfs writewyukawa
 
Osc mercurial-public
Osc mercurial-publicOsc mercurial-public
Osc mercurial-publicwyukawa
 
Dvcs study
Dvcs studyDvcs study
Dvcs studywyukawa
 
Hudson study-zen
Hudson study-zenHudson study-zen
Hudson study-zenwyukawa
 
Shibuya.trac.8
Shibuya.trac.8Shibuya.trac.8
Shibuya.trac.8wyukawa
 
Hudson tanabata.trac
Hudson tanabata.tracHudson tanabata.trac
Hudson tanabata.tracwyukawa
 

More from wyukawa (18)

Presto conferencetokyo2019
Presto conferencetokyo2019Presto conferencetokyo2019
Presto conferencetokyo2019
 
Strata2017 sg
Strata2017 sgStrata2017 sg
Strata2017 sg
 
Azkaban-en
Azkaban-enAzkaban-en
Azkaban-en
 
Azkaban
AzkabanAzkaban
Azkaban
 
Upgrading from-hdp-21-to-hdp-25
Upgrading from-hdp-21-to-hdp-25Upgrading from-hdp-21-to-hdp-25
Upgrading from-hdp-21-to-hdp-25
 
Promcon2016
Promcon2016Promcon2016
Promcon2016
 
Prometheus london
Prometheus londonPrometheus london
Prometheus london
 
Prometheus casual talk1
Prometheus casual talk1Prometheus casual talk1
Prometheus casual talk1
 
My ambariexperience
My ambariexperienceMy ambariexperience
My ambariexperience
 
Prometheus
PrometheusPrometheus
Prometheus
 
Upgrading from-hdp-21-to-hdp-24
Upgrading from-hdp-21-to-hdp-24Upgrading from-hdp-21-to-hdp-24
Upgrading from-hdp-21-to-hdp-24
 
Hive sourcecodereading
Hive sourcecodereadingHive sourcecodereading
Hive sourcecodereading
 
Hdfs write
Hdfs writeHdfs write
Hdfs write
 
Osc mercurial-public
Osc mercurial-publicOsc mercurial-public
Osc mercurial-public
 
Dvcs study
Dvcs studyDvcs study
Dvcs study
 
Hudson study-zen
Hudson study-zenHudson study-zen
Hudson study-zen
 
Shibuya.trac.8
Shibuya.trac.8Shibuya.trac.8
Shibuya.trac.8
 
Hudson tanabata.trac
Hudson tanabata.tracHudson tanabata.trac
Hudson tanabata.trac
 

Recently uploaded

Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????blackmambaettijean
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 

Recently uploaded (20)

Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 

Presto in my_use_case

  • 1. Presto in my use case Presto Meetup 2015/01/20 http://eventdots.jp/event/276987 @wyukawa
  • 2. Agenda •  Log Analysis System Overview •  Why do I select Presto? •  How do I use Presto? •  How do I manage Presto? •  My impression for Presto
  • 3. Log Analysis System Overview Hadoop, Hive of HDP2.1 Azkaban 2.6.4 Presto 0.89 Cognos 10.2.1 Prestogres 0.4.8 DB MySQL 5.5 DBDB ETL with Python 2.7.7 InfiniDB Pentaho Saiku Shib
  • 4. Why do I select Presto? •  my familiar(on Twitter) people use •  comparison with other is a bother •  Let s try!
  • 5. How do I use Presto? •  batch with Hive on MR2(not Tez) •  select only with Presto •  execute adhoc query •  report by Cognos with Prestogres •  create presto view http://d.hatena.ne.jp/wyukawa/20140824/1408881620
  • 6. What is Cognos? •  Commercial BI tool by IBM •  Pros •  authorization management •  flexible reporting(but not easy) •  Cons •  slow rendering speed •  no permanent link •  difficult to understand error message •  web site(especially download site) is bad •  Windows and IE are necessary
  • 8. Why do I use Prestogres? •  Interesting •  MySQL is possible to be a bottleneck •  Hadoop is easier to scale than MySQL •  reduce maintenance cost for multi storages •  but not achieve
  • 9. Prestogres in my use case Presto 0.89 Cognos 10.2.1 Prestogres 0.4.8 Prestogres ODBC Driver It is not easy to connect Cognos to Presto. Thanks! > @frsyuki http://d.hatena.ne.jp/wyukawa/20140623/1403521909
  • 10. Problem in my use case •  Cognos don t issue where cause with Presgtogres+ODBC •  select … from … where yyyymmdd= 20150120 … •  slow rendering because of no predicate pushdown •  workaround is to use bigint to where cause, not string •  solution(not deploy in production. BTW, Thanks! > @frsyuki ) •  Cognos 10.2.2 •  patched(protocolVersion=2) PostgreSQL JDBC Driver •  Prestogres 0.6.3 •  Presto 0.86 •  increase dentry cache http://d.hatena.ne.jp/wyukawa/20141216/1418706186
  • 11. How do I manage Presto? •  How to deploy Presto? •  use Ansible •  Presto Setting •  task.cpu-timer-enabled=false •  How to monitor Presto? •  GrowthForecast + jstat2gf, JMX •  slow query visualization by nata2 http://d.hatena.ne.jp/wyukawa/20140803/1407052542 http://d.hatena.ne.jp/wyukawa/20141218/1418882574
  • 12. My impression for Presto •  stable •  frequent version up •  easy to install •  easy to upgrade •  but failed at 0.80, 0.87 •  leverage effect