SlideShare a Scribd company logo
Sadayuki Furuhashi
Founder & Software Architect
ODBC & JDBC connectivity for Presto
Treasure Data, inc.
A little about me...
> Sadayuki Furuhashi
github/twitter: @frsyuki
> Treasure Data, Inc.
Founder & Software Architect
> Open source projects
MessagePack - efficient object serializer
Fluentd - data collection tool
ServerEngine - ruby framework to build multiprocess servers
LS4 - distributed object storage system (suspended)
kumofs - distributed key-value data store (suspended)
Background + Intro:
Background
Pig
• Tableau
• Pentaho
• Web apps
RDB, HTTP, etc.
“Plazma”
Columnar

Cloud Storage
This is us

(Treasure Data)
Pig
• Tableau
• Pentaho
• Web apps
RDB, HTTP, etc.
“Plazma”
Columnar

Cloud Storage
Data collection
> “Fluentd”streaming data collection tool
> Plugin architecture
> github.com/fluent/fluentd
Pig
• Tableau
• Pentaho
• Web apps
RDB, HTTP, etc.
“Plazma”
Columnar

Cloud Storage
Hadoop as a service
> “BigData”processing
• Funnel analysis for

web services
• Correlation analysis for

ad-tech (DSP/SSP/DMP)
• Creating OLAP cube
> Multi-tenant scheduling
• utilize idling resources

purchased by other users
Pig
• Tableau
• Pentaho
• Web apps
RDB, HTTP, etc.
“Plazma”
Columnar

Cloud Storage
Presto as a service
> Interactive queries
> Multi-tenant scheduling

(in progress)
Pig
• Tableau
• Pentaho
• Web apps
RDB, HTTP, etc.
“Plazma”
Columnar

Cloud Storage
Here is the problem…
ODBC/JDBC
Missing!
The problem to solve
• Providing open-source ODBC/JDBC connectivity 
for Presto quickly
• Tableau
• Pentaho
• Web apps
ODBC/JDBC
• ODBC/JDBC are VERY complicated API
> PostgreSQL ODBC driver: 60,000 lines
> PostgreSQL JDBC driver: 43,000 lines
A solution
•Using PostgreSQL ODBC/JDBC drivers
•Creating PostgreSQL protocol gateway
A solution
•Using PostgreSQL ODBC/JDBC drivers
•Creating PostgreSQL protocol gateway
PostgreSQL protocol gateway for Presto
feature-complete &

matured for many years
some middleware

already implemented
Architecture
Architecture
Tableau
Pentaho

Web apps

…
PostgreSQL protocol
PostgreSQL ODBC/JDBC driver,

Other PostgreSQL clients
pgpool-II
(patched)
Internal Architecture
Tableau…
select count(*) from x;
run_presto_as_temp_table(

…, ’select count(*) from x’);
patched pgpool-II wraps

the SQL in a function call
PostgreSQL
the function sends the

original sql to Presto
select count(*) from x;
SELECT from system catalogs
pgpool-II
(patched)
Tableau…
get table list
PostgreSQL
run CREATE TABLE

for each actual table
run the original query
to get metadata of tables
Demo
Limitations
• Server-side prepare is not supported
• Cursor (DECLARE/FETCH) is not supported
• JDBC driver needs ?protocolVersion=2 option
We’re hiring!
www.treasuredata.com/careers

More Related Content

What's hot

20140120 presto meetup_en
20140120 presto meetup_en20140120 presto meetup_en
20140120 presto meetup_en
Ogibayashi
 
Internals of Presto Service
Internals of Presto ServiceInternals of Presto Service
Internals of Presto Service
Treasure Data, Inc.
 
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
 
Presto At Treasure Data
Presto At Treasure DataPresto At Treasure Data
Presto At Treasure Data
Taro L. Saito
 
Presto @ Facebook: Past, Present and Future
Presto @ Facebook: Past, Present and FuturePresto @ Facebook: Past, Present and Future
Presto @ Facebook: Past, Present and FutureDataWorks Summit
 
Presto in the cloud
Presto in the cloudPresto in the cloud
Presto in the cloudQubole
 
Presto at Twitter
Presto at TwitterPresto at Twitter
Presto at Twitter
Bill Graham
 
Presto - Hadoop Conference Japan 2014
Presto - Hadoop Conference Japan 2014Presto - Hadoop Conference Japan 2014
Presto - Hadoop Conference Japan 2014Sadayuki Furuhashi
 
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 as a Service - Tips for operation and monitoring
Presto as a Service - Tips for operation and monitoringPresto as a Service - Tips for operation and monitoring
Presto as a Service - Tips for operation and monitoringTaro L. Saito
 
Presto at Facebook - Presto Meetup @ Boston (10/6/2015)
Presto at Facebook - Presto Meetup @ Boston (10/6/2015)Presto at Facebook - Presto Meetup @ Boston (10/6/2015)
Presto at Facebook - Presto Meetup @ Boston (10/6/2015)
Martin Traverso
 
Presto updates to 0.178
Presto updates to 0.178Presto updates to 0.178
Presto updates to 0.178
Kai Sasaki
 
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
 
Facebook Presto presentation
Facebook Presto presentationFacebook Presto presentation
Facebook Presto presentation
Cyanny LIANG
 
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
N Masahiro
 
tdtechtalk20160330johan
tdtechtalk20160330johantdtechtalk20160330johan
tdtechtalk20160330johan
Johan Gustavsson
 
To Have Own Data Analytics Platform, Or NOT To
To Have Own Data Analytics Platform, Or NOT ToTo Have Own Data Analytics Platform, Or NOT To
To Have Own Data Analytics Platform, Or NOT To
SATOSHI TAGOMORI
 
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
Taro L. Saito
 
Plazma - Treasure Data’s distributed analytical database -
Plazma - Treasure Data’s distributed analytical database -Plazma - Treasure Data’s distributed analytical database -
Plazma - Treasure Data’s distributed analytical database -
Treasure Data, Inc.
 
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
Matt Fuller
 

What's hot (20)

20140120 presto meetup_en
20140120 presto meetup_en20140120 presto meetup_en
20140120 presto meetup_en
 
Internals of Presto Service
Internals of Presto ServiceInternals of Presto Service
Internals of Presto Service
 
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...
 
Presto At Treasure Data
Presto At Treasure DataPresto At Treasure Data
Presto At Treasure Data
 
Presto @ Facebook: Past, Present and Future
Presto @ Facebook: Past, Present and FuturePresto @ Facebook: Past, Present and Future
Presto @ Facebook: Past, Present and Future
 
Presto in the cloud
Presto in the cloudPresto in the cloud
Presto in the cloud
 
Presto at Twitter
Presto at TwitterPresto at Twitter
Presto at Twitter
 
Presto - Hadoop Conference Japan 2014
Presto - Hadoop Conference Japan 2014Presto - Hadoop Conference Japan 2014
Presto - Hadoop Conference Japan 2014
 
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
 
Presto as a Service - Tips for operation and monitoring
Presto as a Service - Tips for operation and monitoringPresto as a Service - Tips for operation and monitoring
Presto as a Service - Tips for operation and monitoring
 
Presto at Facebook - Presto Meetup @ Boston (10/6/2015)
Presto at Facebook - Presto Meetup @ Boston (10/6/2015)Presto at Facebook - Presto Meetup @ Boston (10/6/2015)
Presto at Facebook - Presto Meetup @ Boston (10/6/2015)
 
Presto updates to 0.178
Presto updates to 0.178Presto updates to 0.178
Presto updates to 0.178
 
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.
 
Facebook Presto presentation
Facebook Presto presentationFacebook Presto presentation
Facebook Presto presentation
 
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
 
tdtechtalk20160330johan
tdtechtalk20160330johantdtechtalk20160330johan
tdtechtalk20160330johan
 
To Have Own Data Analytics Platform, Or NOT To
To Have Own Data Analytics Platform, Or NOT ToTo Have Own Data Analytics Platform, Or NOT To
To Have Own Data Analytics Platform, Or NOT To
 
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
 
Plazma - Treasure Data’s distributed analytical database -
Plazma - Treasure Data’s distributed analytical database -Plazma - Treasure Data’s distributed analytical database -
Plazma - Treasure Data’s distributed analytical database -
 
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
 

Similar to Prestogres, ODBC & JDBC connectivity for Presto

Treasure Data and OSS
Treasure Data and OSSTreasure Data and OSS
Treasure Data and OSS
N Masahiro
 
Data Analytics Service Company and Its Ruby Usage
Data Analytics Service Company and Its Ruby UsageData Analytics Service Company and Its Ruby Usage
Data Analytics Service Company and Its Ruby Usage
SATOSHI TAGOMORI
 
SQL for Everything at CWT2014
SQL for Everything at CWT2014SQL for Everything at CWT2014
SQL for Everything at CWT2014
N Masahiro
 
SQL on Hadoop in Taiwan
SQL on Hadoop in TaiwanSQL on Hadoop in Taiwan
SQL on Hadoop in Taiwan
Treasure Data, Inc.
 
Overview of data analytics service: Treasure Data Service
Overview of data analytics service: Treasure Data ServiceOverview of data analytics service: Treasure Data Service
Overview of data analytics service: Treasure Data Service
SATOSHI TAGOMORI
 
DATA SUMMIT 24 Building Real-Time Pipelines With FLaNK
DATA SUMMIT 24  Building Real-Time Pipelines With FLaNKDATA SUMMIT 24  Building Real-Time Pipelines With FLaNK
DATA SUMMIT 24 Building Real-Time Pipelines With FLaNK
Timothy Spann
 
Hadoop in Practice (SDN Conference, Dec 2014)
Hadoop in Practice (SDN Conference, Dec 2014)Hadoop in Practice (SDN Conference, Dec 2014)
Hadoop in Practice (SDN Conference, Dec 2014)
Marcel Krcah
 
Microsoft Ignite AU 2017 - Orchestrating Big Data Pipelines with Azure Data F...
Microsoft Ignite AU 2017 - Orchestrating Big Data Pipelines with Azure Data F...Microsoft Ignite AU 2017 - Orchestrating Big Data Pipelines with Azure Data F...
Microsoft Ignite AU 2017 - Orchestrating Big Data Pipelines with Azure Data F...
Lace Lofranco
 
Apache Flink: Past, Present and Future
Apache Flink: Past, Present and FutureApache Flink: Past, Present and Future
Apache Flink: Past, Present and Future
Gyula Fóra
 
Fluentd and Embulk Game Server 4
Fluentd and Embulk Game Server 4Fluentd and Embulk Game Server 4
Fluentd and Embulk Game Server 4
N Masahiro
 
SF Big Analytics 20190612: Building highly efficient data lakes using Apache ...
SF Big Analytics 20190612: Building highly efficient data lakes using Apache ...SF Big Analytics 20190612: Building highly efficient data lakes using Apache ...
SF Big Analytics 20190612: Building highly efficient data lakes using Apache ...
Chester Chen
 
Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...
Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...
Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...
StreamNative
 
Building Scalable Big Data Infrastructure Using Open Source Software Presenta...
Building Scalable Big Data Infrastructure Using Open Source Software Presenta...Building Scalable Big Data Infrastructure Using Open Source Software Presenta...
Building Scalable Big Data Infrastructure Using Open Source Software Presenta...
ssuserd3a367
 
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 for the Enterprise @ Hadoop Meetup
Presto for the Enterprise @ Hadoop MeetupPresto for the Enterprise @ Hadoop Meetup
Presto for the Enterprise @ Hadoop Meetup
Wojciech Biela
 
Big Data Introduction - Solix empower
Big Data Introduction - Solix empowerBig Data Introduction - Solix empower
Big Data Introduction - Solix empower
Durga Gadiraju
 
Big Data Journey
Big Data JourneyBig Data Journey
Big Data Journey
Tugdual Grall
 
Big Data Day LA 2016/ Big Data Track - Fluentd and Embulk: Collect More Data,...
Big Data Day LA 2016/ Big Data Track - Fluentd and Embulk: Collect More Data,...Big Data Day LA 2016/ Big Data Track - Fluentd and Embulk: Collect More Data,...
Big Data Day LA 2016/ Big Data Track - Fluentd and Embulk: Collect More Data,...
Data Con LA
 
Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)
Imply
 
Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...
Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...
Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...Cloudera, Inc.
 

Similar to Prestogres, ODBC & JDBC connectivity for Presto (20)

Treasure Data and OSS
Treasure Data and OSSTreasure Data and OSS
Treasure Data and OSS
 
Data Analytics Service Company and Its Ruby Usage
Data Analytics Service Company and Its Ruby UsageData Analytics Service Company and Its Ruby Usage
Data Analytics Service Company and Its Ruby Usage
 
SQL for Everything at CWT2014
SQL for Everything at CWT2014SQL for Everything at CWT2014
SQL for Everything at CWT2014
 
SQL on Hadoop in Taiwan
SQL on Hadoop in TaiwanSQL on Hadoop in Taiwan
SQL on Hadoop in Taiwan
 
Overview of data analytics service: Treasure Data Service
Overview of data analytics service: Treasure Data ServiceOverview of data analytics service: Treasure Data Service
Overview of data analytics service: Treasure Data Service
 
DATA SUMMIT 24 Building Real-Time Pipelines With FLaNK
DATA SUMMIT 24  Building Real-Time Pipelines With FLaNKDATA SUMMIT 24  Building Real-Time Pipelines With FLaNK
DATA SUMMIT 24 Building Real-Time Pipelines With FLaNK
 
Hadoop in Practice (SDN Conference, Dec 2014)
Hadoop in Practice (SDN Conference, Dec 2014)Hadoop in Practice (SDN Conference, Dec 2014)
Hadoop in Practice (SDN Conference, Dec 2014)
 
Microsoft Ignite AU 2017 - Orchestrating Big Data Pipelines with Azure Data F...
Microsoft Ignite AU 2017 - Orchestrating Big Data Pipelines with Azure Data F...Microsoft Ignite AU 2017 - Orchestrating Big Data Pipelines with Azure Data F...
Microsoft Ignite AU 2017 - Orchestrating Big Data Pipelines with Azure Data F...
 
Apache Flink: Past, Present and Future
Apache Flink: Past, Present and FutureApache Flink: Past, Present and Future
Apache Flink: Past, Present and Future
 
Fluentd and Embulk Game Server 4
Fluentd and Embulk Game Server 4Fluentd and Embulk Game Server 4
Fluentd and Embulk Game Server 4
 
SF Big Analytics 20190612: Building highly efficient data lakes using Apache ...
SF Big Analytics 20190612: Building highly efficient data lakes using Apache ...SF Big Analytics 20190612: Building highly efficient data lakes using Apache ...
SF Big Analytics 20190612: Building highly efficient data lakes using Apache ...
 
Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...
Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...
Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...
 
Building Scalable Big Data Infrastructure Using Open Source Software Presenta...
Building Scalable Big Data Infrastructure Using Open Source Software Presenta...Building Scalable Big Data Infrastructure Using Open Source Software Presenta...
Building Scalable Big Data Infrastructure Using Open Source Software Presenta...
 
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 for the Enterprise @ Hadoop Meetup
Presto for the Enterprise @ Hadoop MeetupPresto for the Enterprise @ Hadoop Meetup
Presto for the Enterprise @ Hadoop Meetup
 
Big Data Introduction - Solix empower
Big Data Introduction - Solix empowerBig Data Introduction - Solix empower
Big Data Introduction - Solix empower
 
Big Data Journey
Big Data JourneyBig Data Journey
Big Data Journey
 
Big Data Day LA 2016/ Big Data Track - Fluentd and Embulk: Collect More Data,...
Big Data Day LA 2016/ Big Data Track - Fluentd and Embulk: Collect More Data,...Big Data Day LA 2016/ Big Data Track - Fluentd and Embulk: Collect More Data,...
Big Data Day LA 2016/ Big Data Track - Fluentd and Embulk: Collect More Data,...
 
Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)
 
Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...
Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...
Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...
 

More from Sadayuki Furuhashi

Scripting Embulk Plugins
Scripting Embulk PluginsScripting Embulk Plugins
Scripting Embulk Plugins
Sadayuki Furuhashi
 
Performance Optimization Techniques of MessagePack-Ruby - RubyKaigi 2019
Performance Optimization Techniques of MessagePack-Ruby - RubyKaigi 2019Performance Optimization Techniques of MessagePack-Ruby - RubyKaigi 2019
Performance Optimization Techniques of MessagePack-Ruby - RubyKaigi 2019
Sadayuki Furuhashi
 
Making KVS 10x Scalable
Making KVS 10x ScalableMaking KVS 10x Scalable
Making KVS 10x Scalable
Sadayuki Furuhashi
 
Automating Workflows for Analytics Pipelines
Automating Workflows for Analytics PipelinesAutomating Workflows for Analytics Pipelines
Automating Workflows for Analytics Pipelines
Sadayuki Furuhashi
 
Digdagによる大規模データ処理の自動化とエラー処理
Digdagによる大規模データ処理の自動化とエラー処理Digdagによる大規模データ処理の自動化とエラー処理
Digdagによる大規模データ処理の自動化とエラー処理
Sadayuki Furuhashi
 
Fluentd at Bay Area Kubernetes Meetup
Fluentd at Bay Area Kubernetes MeetupFluentd at Bay Area Kubernetes Meetup
Fluentd at Bay Area Kubernetes Meetup
Sadayuki Furuhashi
 
DigdagはなぜYAMLなのか?
DigdagはなぜYAMLなのか?DigdagはなぜYAMLなのか?
DigdagはなぜYAMLなのか?
Sadayuki Furuhashi
 
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
Sadayuki Furuhashi
 
分散ワークフローエンジン『Digdag』の実装 at Tokyo RubyKaigi #11
分散ワークフローエンジン『Digdag』の実装 at Tokyo RubyKaigi #11分散ワークフローエンジン『Digdag』の実装 at Tokyo RubyKaigi #11
分散ワークフローエンジン『Digdag』の実装 at Tokyo RubyKaigi #11
Sadayuki Furuhashi
 
Fighting Against Chaotically Separated Values with Embulk
Fighting Against Chaotically Separated Values with EmbulkFighting Against Chaotically Separated Values with Embulk
Fighting Against Chaotically Separated Values with Embulk
Sadayuki Furuhashi
 
Embulk - 進化するバルクデータローダ
Embulk - 進化するバルクデータローダEmbulk - 進化するバルクデータローダ
Embulk - 進化するバルクデータローダ
Sadayuki Furuhashi
 
Plugin-based software design with Ruby and RubyGems
Plugin-based software design with Ruby and RubyGemsPlugin-based software design with Ruby and RubyGems
Plugin-based software design with Ruby and RubyGems
Sadayuki Furuhashi
 
Embuk internals
Embuk internalsEmbuk internals
Embuk internals
Sadayuki Furuhashi
 
Embulk, an open-source plugin-based parallel bulk data loader
Embulk, an open-source plugin-based parallel bulk data loaderEmbulk, an open-source plugin-based parallel bulk data loader
Embulk, an open-source plugin-based parallel bulk data loader
Sadayuki Furuhashi
 
Fluentd - Set Up Once, Collect More
Fluentd - Set Up Once, Collect MoreFluentd - Set Up Once, Collect More
Fluentd - Set Up Once, Collect More
Sadayuki Furuhashi
 
What's new in v11 - Fluentd Casual Talks #3 #fluentdcasual
What's new in v11 - Fluentd Casual Talks #3 #fluentdcasualWhat's new in v11 - Fluentd Casual Talks #3 #fluentdcasual
What's new in v11 - Fluentd Casual Talks #3 #fluentdcasualSadayuki Furuhashi
 
How we use Fluentd in Treasure Data
How we use Fluentd in Treasure DataHow we use Fluentd in Treasure Data
How we use Fluentd in Treasure Data
Sadayuki Furuhashi
 
How to collect Big Data into Hadoop
How to collect Big Data into HadoopHow to collect Big Data into Hadoop
How to collect Big Data into Hadoop
Sadayuki Furuhashi
 

More from Sadayuki Furuhashi (20)

Scripting Embulk Plugins
Scripting Embulk PluginsScripting Embulk Plugins
Scripting Embulk Plugins
 
Performance Optimization Techniques of MessagePack-Ruby - RubyKaigi 2019
Performance Optimization Techniques of MessagePack-Ruby - RubyKaigi 2019Performance Optimization Techniques of MessagePack-Ruby - RubyKaigi 2019
Performance Optimization Techniques of MessagePack-Ruby - RubyKaigi 2019
 
Making KVS 10x Scalable
Making KVS 10x ScalableMaking KVS 10x Scalable
Making KVS 10x Scalable
 
Automating Workflows for Analytics Pipelines
Automating Workflows for Analytics PipelinesAutomating Workflows for Analytics Pipelines
Automating Workflows for Analytics Pipelines
 
Digdagによる大規模データ処理の自動化とエラー処理
Digdagによる大規模データ処理の自動化とエラー処理Digdagによる大規模データ処理の自動化とエラー処理
Digdagによる大規模データ処理の自動化とエラー処理
 
Fluentd at Bay Area Kubernetes Meetup
Fluentd at Bay Area Kubernetes MeetupFluentd at Bay Area Kubernetes Meetup
Fluentd at Bay Area Kubernetes Meetup
 
DigdagはなぜYAMLなのか?
DigdagはなぜYAMLなのか?DigdagはなぜYAMLなのか?
DigdagはなぜYAMLなのか?
 
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
 
分散ワークフローエンジン『Digdag』の実装 at Tokyo RubyKaigi #11
分散ワークフローエンジン『Digdag』の実装 at Tokyo RubyKaigi #11分散ワークフローエンジン『Digdag』の実装 at Tokyo RubyKaigi #11
分散ワークフローエンジン『Digdag』の実装 at Tokyo RubyKaigi #11
 
Fighting Against Chaotically Separated Values with Embulk
Fighting Against Chaotically Separated Values with EmbulkFighting Against Chaotically Separated Values with Embulk
Fighting Against Chaotically Separated Values with Embulk
 
Embulk - 進化するバルクデータローダ
Embulk - 進化するバルクデータローダEmbulk - 進化するバルクデータローダ
Embulk - 進化するバルクデータローダ
 
Plugin-based software design with Ruby and RubyGems
Plugin-based software design with Ruby and RubyGemsPlugin-based software design with Ruby and RubyGems
Plugin-based software design with Ruby and RubyGems
 
Embuk internals
Embuk internalsEmbuk internals
Embuk internals
 
Embulk, an open-source plugin-based parallel bulk data loader
Embulk, an open-source plugin-based parallel bulk data loaderEmbulk, an open-source plugin-based parallel bulk data loader
Embulk, an open-source plugin-based parallel bulk data loader
 
Fluentd - Set Up Once, Collect More
Fluentd - Set Up Once, Collect MoreFluentd - Set Up Once, Collect More
Fluentd - Set Up Once, Collect More
 
What's new in v11 - Fluentd Casual Talks #3 #fluentdcasual
What's new in v11 - Fluentd Casual Talks #3 #fluentdcasualWhat's new in v11 - Fluentd Casual Talks #3 #fluentdcasual
What's new in v11 - Fluentd Casual Talks #3 #fluentdcasual
 
How we use Fluentd in Treasure Data
How we use Fluentd in Treasure DataHow we use Fluentd in Treasure Data
How we use Fluentd in Treasure Data
 
Fluentd meetup at Slideshare
Fluentd meetup at SlideshareFluentd meetup at Slideshare
Fluentd meetup at Slideshare
 
How to collect Big Data into Hadoop
How to collect Big Data into HadoopHow to collect Big Data into Hadoop
How to collect Big Data into Hadoop
 
Fluentd meetup
Fluentd meetupFluentd meetup
Fluentd meetup
 

Recently uploaded

Lecture 1 Introduction to games development
Lecture 1 Introduction to games developmentLecture 1 Introduction to games development
Lecture 1 Introduction to games development
abdulrafaychaudhry
 
Using IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New ZealandUsing IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New Zealand
IES VE
 
Accelerate Enterprise Software Engineering with Platformless
Accelerate Enterprise Software Engineering with PlatformlessAccelerate Enterprise Software Engineering with Platformless
Accelerate Enterprise Software Engineering with Platformless
WSO2
 
Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...
Globus
 
Large Language Models and the End of Programming
Large Language Models and the End of ProgrammingLarge Language Models and the End of Programming
Large Language Models and the End of Programming
Matt Welsh
 
GlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote sessionGlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote session
Globus
 
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital TransformationWSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2
 
Advanced Flow Concepts Every Developer Should Know
Advanced Flow Concepts Every Developer Should KnowAdvanced Flow Concepts Every Developer Should Know
Advanced Flow Concepts Every Developer Should Know
Peter Caitens
 
Into the Box 2024 - Keynote Day 2 Slides.pdf
Into the Box 2024 - Keynote Day 2 Slides.pdfInto the Box 2024 - Keynote Day 2 Slides.pdf
Into the Box 2024 - Keynote Day 2 Slides.pdf
Ortus Solutions, Corp
 
Vitthal Shirke Microservices Resume Montevideo
Vitthal Shirke Microservices Resume MontevideoVitthal Shirke Microservices Resume Montevideo
Vitthal Shirke Microservices Resume Montevideo
Vitthal Shirke
 
How to Position Your Globus Data Portal for Success Ten Good Practices
How to Position Your Globus Data Portal for Success Ten Good PracticesHow to Position Your Globus Data Portal for Success Ten Good Practices
How to Position Your Globus Data Portal for Success Ten Good Practices
Globus
 
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR
Tier1 app
 
First Steps with Globus Compute Multi-User Endpoints
First Steps with Globus Compute Multi-User EndpointsFirst Steps with Globus Compute Multi-User Endpoints
First Steps with Globus Compute Multi-User Endpoints
Globus
 
Cracking the code review at SpringIO 2024
Cracking the code review at SpringIO 2024Cracking the code review at SpringIO 2024
Cracking the code review at SpringIO 2024
Paco van Beckhoven
 
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdfDominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
AMB-Review
 
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, BetterWebinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
XfilesPro
 
Why React Native as a Strategic Advantage for Startup Innovation.pdf
Why React Native as a Strategic Advantage for Startup Innovation.pdfWhy React Native as a Strategic Advantage for Startup Innovation.pdf
Why React Native as a Strategic Advantage for Startup Innovation.pdf
ayushiqss
 
Strategies for Successful Data Migration Tools.pptx
Strategies for Successful Data Migration Tools.pptxStrategies for Successful Data Migration Tools.pptx
Strategies for Successful Data Migration Tools.pptx
varshanayak241
 
Enhancing Research Orchestration Capabilities at ORNL.pdf
Enhancing Research Orchestration Capabilities at ORNL.pdfEnhancing Research Orchestration Capabilities at ORNL.pdf
Enhancing Research Orchestration Capabilities at ORNL.pdf
Globus
 
Software Testing Exam imp Ques Notes.pdf
Software Testing Exam imp Ques Notes.pdfSoftware Testing Exam imp Ques Notes.pdf
Software Testing Exam imp Ques Notes.pdf
MayankTawar1
 

Recently uploaded (20)

Lecture 1 Introduction to games development
Lecture 1 Introduction to games developmentLecture 1 Introduction to games development
Lecture 1 Introduction to games development
 
Using IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New ZealandUsing IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New Zealand
 
Accelerate Enterprise Software Engineering with Platformless
Accelerate Enterprise Software Engineering with PlatformlessAccelerate Enterprise Software Engineering with Platformless
Accelerate Enterprise Software Engineering with Platformless
 
Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...
 
Large Language Models and the End of Programming
Large Language Models and the End of ProgrammingLarge Language Models and the End of Programming
Large Language Models and the End of Programming
 
GlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote sessionGlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote session
 
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital TransformationWSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
 
Advanced Flow Concepts Every Developer Should Know
Advanced Flow Concepts Every Developer Should KnowAdvanced Flow Concepts Every Developer Should Know
Advanced Flow Concepts Every Developer Should Know
 
Into the Box 2024 - Keynote Day 2 Slides.pdf
Into the Box 2024 - Keynote Day 2 Slides.pdfInto the Box 2024 - Keynote Day 2 Slides.pdf
Into the Box 2024 - Keynote Day 2 Slides.pdf
 
Vitthal Shirke Microservices Resume Montevideo
Vitthal Shirke Microservices Resume MontevideoVitthal Shirke Microservices Resume Montevideo
Vitthal Shirke Microservices Resume Montevideo
 
How to Position Your Globus Data Portal for Success Ten Good Practices
How to Position Your Globus Data Portal for Success Ten Good PracticesHow to Position Your Globus Data Portal for Success Ten Good Practices
How to Position Your Globus Data Portal for Success Ten Good Practices
 
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR
 
First Steps with Globus Compute Multi-User Endpoints
First Steps with Globus Compute Multi-User EndpointsFirst Steps with Globus Compute Multi-User Endpoints
First Steps with Globus Compute Multi-User Endpoints
 
Cracking the code review at SpringIO 2024
Cracking the code review at SpringIO 2024Cracking the code review at SpringIO 2024
Cracking the code review at SpringIO 2024
 
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdfDominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
 
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, BetterWebinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
 
Why React Native as a Strategic Advantage for Startup Innovation.pdf
Why React Native as a Strategic Advantage for Startup Innovation.pdfWhy React Native as a Strategic Advantage for Startup Innovation.pdf
Why React Native as a Strategic Advantage for Startup Innovation.pdf
 
Strategies for Successful Data Migration Tools.pptx
Strategies for Successful Data Migration Tools.pptxStrategies for Successful Data Migration Tools.pptx
Strategies for Successful Data Migration Tools.pptx
 
Enhancing Research Orchestration Capabilities at ORNL.pdf
Enhancing Research Orchestration Capabilities at ORNL.pdfEnhancing Research Orchestration Capabilities at ORNL.pdf
Enhancing Research Orchestration Capabilities at ORNL.pdf
 
Software Testing Exam imp Ques Notes.pdf
Software Testing Exam imp Ques Notes.pdfSoftware Testing Exam imp Ques Notes.pdf
Software Testing Exam imp Ques Notes.pdf
 

Prestogres, ODBC & JDBC connectivity for Presto

  • 1. Sadayuki Furuhashi Founder & Software Architect ODBC & JDBC connectivity for Presto Treasure Data, inc.
  • 2. A little about me... > Sadayuki Furuhashi github/twitter: @frsyuki > Treasure Data, Inc. Founder & Software Architect > Open source projects MessagePack - efficient object serializer Fluentd - data collection tool ServerEngine - ruby framework to build multiprocess servers LS4 - distributed object storage system (suspended) kumofs - distributed key-value data store (suspended)
  • 4. Background Pig • Tableau • Pentaho • Web apps RDB, HTTP, etc. “Plazma” Columnar
 Cloud Storage This is us
 (Treasure Data)
  • 5. Pig • Tableau • Pentaho • Web apps RDB, HTTP, etc. “Plazma” Columnar
 Cloud Storage Data collection > “Fluentd”streaming data collection tool > Plugin architecture > github.com/fluent/fluentd
  • 6. Pig • Tableau • Pentaho • Web apps RDB, HTTP, etc. “Plazma” Columnar
 Cloud Storage Hadoop as a service > “BigData”processing • Funnel analysis for
 web services • Correlation analysis for
 ad-tech (DSP/SSP/DMP) • Creating OLAP cube > Multi-tenant scheduling • utilize idling resources
 purchased by other users
  • 7. Pig • Tableau • Pentaho • Web apps RDB, HTTP, etc. “Plazma” Columnar
 Cloud Storage Presto as a service > Interactive queries > Multi-tenant scheduling
 (in progress)
  • 8. Pig • Tableau • Pentaho • Web apps RDB, HTTP, etc. “Plazma” Columnar
 Cloud Storage Here is the problem… ODBC/JDBC Missing!
  • 9. The problem to solve • Providing open-source ODBC/JDBC connectivity  for Presto quickly • Tableau • Pentaho • Web apps ODBC/JDBC • ODBC/JDBC are VERY complicated API > PostgreSQL ODBC driver: 60,000 lines > PostgreSQL JDBC driver: 43,000 lines
  • 10. A solution •Using PostgreSQL ODBC/JDBC drivers •Creating PostgreSQL protocol gateway
  • 11. A solution •Using PostgreSQL ODBC/JDBC drivers •Creating PostgreSQL protocol gateway PostgreSQL protocol gateway for Presto feature-complete &
 matured for many years some middleware
 already implemented
  • 14. pgpool-II (patched) Internal Architecture Tableau… select count(*) from x; run_presto_as_temp_table(
 …, ’select count(*) from x’); patched pgpool-II wraps
 the SQL in a function call PostgreSQL the function sends the
 original sql to Presto select count(*) from x;
  • 15. SELECT from system catalogs pgpool-II (patched) Tableau… get table list PostgreSQL run CREATE TABLE
 for each actual table run the original query to get metadata of tables
  • 16. Demo
  • 17. Limitations • Server-side prepare is not supported • Cursor (DECLARE/FETCH) is not supported • JDBC driver needs ?protocolVersion=2 option