SlideShare une entreprise Scribd logo
1  sur  42
Télécharger pour lire hors ligne
Faster DB
Development
with qb
Who are you?
I am Andrew Davis - @blusol850
2
What is qb anyway?
✖ A fluent, chainable syntax for building SQL
✖ An abstraction around different DB engines
✖ An abstraction around queryExecute
✖ Heavily inspired by Eloquent From Laravel
✖ Written by Eric Peterson from Ortus Solutions
3
What is qb anyway?
QueryBuilder@qb
✖ Queries your data
4
SchemaBuilder@qb
✖ Helps build DB schema
✖ Great for migrations
What is qb anyway?
QB is the core backbone of Quick.
Quick is an ORM (Object Relational Mapper)
5
Why qb?
✖ Reduce Typoz
✖ Bridge Database Engine Idiosyncrasies
✖ Stop Concatenating SQL Strings
✖ Object-Oriented Patterns with SQL Statements
6
Installation
7
EASY INSTALL VIA CommandBox
Welcome to CommandBox!
CommandBox> install qb
CONFIGURATION
8
EASY CONFIGURATION VIA moduleSettings
struct in config/ColdBox.cfc
moduleSettings = {
qb = {
defaultGrammar = "MSSQLGrammar",
returnFormat = "array" // or query
}
Que Problemo?
function loadPosts() {
return queryExecute(“SELECT * FROM `posts` limit 5”);
}
9
Que Problemo?
function loadPosts() {
return queryExecute(‘SELECT TOP(5) * FROM [posts]’);
}
10
DATABASE ENGINE
SPECIFIC!
11
How can QB help??
//using take
function loadPosts() {
return query.from(“posts”).take(5).get();
}
//using limit
function loadPosts() {
return query.from(“posts”).limit(5).get();
}
12
Bundled Grammars Include:
13
(Help is appreciated to add more)
select
query.select( “id”);
✖ Default Is *
✖ Takes a Single Value, List, or Array
✖ Overwrites any Existing Selected Columns
14
addselect
query.addSelect( “id”);
✖ Adds a column to the select list
✖ If the selection is currently *, then the added
column will be the only column selected
15
join
query.from( “posts”)
.join( “users”, “posts.user_id”, “=”, “users.id” );
✖ Add a join statement to the query
✖ Simple syntax for simple joins
✖ Complex joins can be specified using a callback
16
where()
whereBetween()
whereColumn()
whereExists()
whereIn()
whereNotBetween()
whereNotExists()
whereNotIn()
whereNotNull()
whereNull()
whereRaw()
Where on Earth?
and?
andWhere()
andWhereBetween()
Etc…
or?
orWhere()
orWhereBetween()
Etc…
17
Where
query.where( “title”, “=”, “My Title” );
✖ Adds a where statement to the query
✖ AUTOMATICALLY params the value passed
✖ Accepts any SQL operator like <=, <>, OR like
18
Where magic
query.where( “title”, “My Title” );
✖ Can skip the second parameter if using = operator
19
Where magic
query.whereTitle( “My Title” );
✖ Thanks to onMissingMethod
20
Nested Where
query.from( “users” )
.where( “email”, “foo” )
.orWhere( function( q ) {
q.where( “name”, “bar” )
.where( “age”, “>=”, “21” )
} );
21
Nested Where SQL
SELECT *
FROM `users`
WHERE `email` = ?
OR ( `name` = ? AND `age` >= ? )
22
whereColumn
query.whereColumn( "updated_date", ">", "created_date" );
✖ Compares two columns
✖ Accepts any SQL operator like <=, <>, or LIKE
23
whereIn
query.whereIn( "id", "[ 1, 2, 3, 5, 8, 13, 21, 34 ]" );
✖ Adds a where in statement to the query
✖ Automatically params the values passed
24
More Where
query.whereBetween( "createdDate", startDate, endDate);
query.whereNull( "deletedDate");
query.whereExists( function( q ) {
q.select( q.raw( 1 ) )
.from( "products" )
.where( "products.id", "=", q.raw( ‘"orders"."id"’) );
} );
25
where()
whereBetween()
whereColumn()
whereExists()
whereIn()
whereNotBetween()
whereNotExists()
whereNotIn()
whereNotNull()
whereNull()
whereRaw()
Where on Earth?
and?
andWhere()
andWhereBetween()
Etc…
or?
orWhere()
orWhereBetween()
Etc…
26
groupBy
query.groupBy( "id" );
✖ Adds a group by statement
✖ Further calls add to any existing groupings
✖ Takes a single value, list, or array
27
Having
query.from( "users" )
.groupBy( "email" )
.having( builder.raw( "COUNT(email)" ), ">", 1 );
✖ Adds a having statement
✖ Works pretty much like a where statement
28
Limit & Offset
query.limit( 1 ) .offset( 10 );
✖ Adds a limit and offset to the query
✖ This one is a great example where normalizing database
engines is super nice.
29
mySQL
LIMIT
SELECT * FROM `users` LIMIT 3 LIMIT & OFFSET
LIMIT & OFFSET
SELECT * FROM `users` LIMIT 15 OFFSET 30
30
MSSQL
LIMIT
SELECT TOP (3) * FROM [users]
LIMIT & OFFSET
SELECT * FROM [users] ORDER BY 1 OFFSET 30 ROWS
FETCH NEXT 15 ROWS ONLY
31
ORACLE
LIMIT
SELECT * FROM ( SELECT results.*, ROWNUM AS
"QB_RN" FROM (SELECT * FROM "USERS") results )
WHERE "QB_RN" <= 3
LIMIT & OFFSET
SELECT * FROM ( SELECT results.*, ROWNUM AS
"QB_RN" FROM (SELECT * FROM "USERS") results )
WHERE "QB_RN" > 30 AND "QB_RN" <= 45
32
raw
query.select( query.raw( "COUNT(*) AS post_count" ) );
✖ The qb escape hatch
✖ Outputs exactly the text you give it
33
When
Var temp = query.when( rc.isActive, function( q ) {
q.where( "is_active", 1 );
}, function( q ) {
q.whereNull( "is_active" );
} );
✖ Control flow for chainable methods
34
toSQL
query.from(“users”).toSQL()
✖ Builds the query into a SQL statement
✖ Bindings will be available in the getBindings method
35
get
query.from( "users" ).get();
✖ Builds and executes the current query
✖ Can accept columns as a shortcut
✖ Also accepts any options that can be passed to
queryExecute
36
find
query.from( "users" ).find(1, ‘idcolumn’);
✖ Shortcut method for retrieving records by primary key
✖ Default idColumn is id
✖ idColumn can be specified as second argument
37
find
query.from( "users" ).find(1);
✖ Shortcut method for retrieving records by primary key
✖ Default idColumn is id
✖ idColumn can be specified as second argument
38
first
query.from( "users" ).first();
✖ Adds a limit( 1 ) to your query
✖ Also returns the struct value, not an array of one
✖ Returns an empty struct if nothing is found
39
exists
query.from( "logins" )
.where( "user_id", user.getId() ) .exists();
✖ Returns a boolean
✖ Works with any configured query
✖ Just call exists instead of get
40
Thanks!
Any questions?
You can find me at:
@blusol850
41
Credits
Special thanks to all the people who made and
released these awesome resources for free:
✖ Presentation template by SlidesCarnival
✖ Photographs by Unsplash
42

Contenu connexe

Tendances

PostgreSQL: Joining 1 million tables
PostgreSQL: Joining 1 million tablesPostgreSQL: Joining 1 million tables
PostgreSQL: Joining 1 million tablesHans-Jürgen Schönig
 
Understanding Autovacuum
Understanding AutovacuumUnderstanding Autovacuum
Understanding AutovacuumDan Robinson
 
Python in the database
Python in the databasePython in the database
Python in the databasepybcn
 
Cassandra summit 2013 - DataStax Java Driver Unleashed!
Cassandra summit 2013 - DataStax Java Driver Unleashed!Cassandra summit 2013 - DataStax Java Driver Unleashed!
Cassandra summit 2013 - DataStax Java Driver Unleashed!Michaël Figuière
 
ClickHouse and the Magic of Materialized Views, By Robert Hodges and Altinity...
ClickHouse and the Magic of Materialized Views, By Robert Hodges and Altinity...ClickHouse and the Magic of Materialized Views, By Robert Hodges and Altinity...
ClickHouse and the Magic of Materialized Views, By Robert Hodges and Altinity...Altinity Ltd
 
Clickhouse Capacity Planning for OLAP Workloads, Mik Kocikowski of CloudFlare
Clickhouse Capacity Planning for OLAP Workloads, Mik Kocikowski of CloudFlareClickhouse Capacity Planning for OLAP Workloads, Mik Kocikowski of CloudFlare
Clickhouse Capacity Planning for OLAP Workloads, Mik Kocikowski of CloudFlareAltinity Ltd
 
Modern query optimisation features in MySQL 8.
Modern query optimisation features in MySQL 8.Modern query optimisation features in MySQL 8.
Modern query optimisation features in MySQL 8.Mydbops
 
Walbouncer: Filtering PostgreSQL transaction log
Walbouncer: Filtering PostgreSQL transaction logWalbouncer: Filtering PostgreSQL transaction log
Walbouncer: Filtering PostgreSQL transaction logHans-Jürgen Schönig
 
DataStax: An Introduction to DataStax Enterprise Search
DataStax: An Introduction to DataStax Enterprise SearchDataStax: An Introduction to DataStax Enterprise Search
DataStax: An Introduction to DataStax Enterprise SearchDataStax Academy
 
MariaDB and Clickhouse Percona Live 2019 talk
MariaDB and Clickhouse Percona Live 2019 talkMariaDB and Clickhouse Percona Live 2019 talk
MariaDB and Clickhouse Percona Live 2019 talkAlexander Rubin
 
Cassandra Summit EU 2014 Lightning talk - Paging (no animation)
Cassandra Summit EU 2014 Lightning talk - Paging (no animation)Cassandra Summit EU 2014 Lightning talk - Paging (no animation)
Cassandra Summit EU 2014 Lightning talk - Paging (no animation)Christopher Batey
 
Using PostgreSQL statistics to optimize performance
Using PostgreSQL statistics to optimize performance Using PostgreSQL statistics to optimize performance
Using PostgreSQL statistics to optimize performance Alexey Ermakov
 
Cassandra for Python Developers
Cassandra for Python DevelopersCassandra for Python Developers
Cassandra for Python DevelopersTyler Hobbs
 
PostgreSQL Meetup Berlin at Zalando HQ
PostgreSQL Meetup Berlin at Zalando HQPostgreSQL Meetup Berlin at Zalando HQ
PostgreSQL Meetup Berlin at Zalando HQPostgreSQL-Consulting
 
New features in ProxySQL 2.0 (updated to 2.0.9) by Rene Cannao (ProxySQL)
New features in ProxySQL 2.0 (updated to 2.0.9) by Rene Cannao (ProxySQL)New features in ProxySQL 2.0 (updated to 2.0.9) by Rene Cannao (ProxySQL)
New features in ProxySQL 2.0 (updated to 2.0.9) by Rene Cannao (ProxySQL)Altinity Ltd
 
Cassandra 3.0 Awesomeness
Cassandra 3.0 AwesomenessCassandra 3.0 Awesomeness
Cassandra 3.0 AwesomenessJon Haddad
 
PostgreSQL 9.6 새 기능 소개
PostgreSQL 9.6 새 기능 소개PostgreSQL 9.6 새 기능 소개
PostgreSQL 9.6 새 기능 소개PgDay.Seoul
 
LJC Conference 2014 Cassandra for Java Developers
LJC Conference 2014 Cassandra for Java DevelopersLJC Conference 2014 Cassandra for Java Developers
LJC Conference 2014 Cassandra for Java DevelopersChristopher Batey
 
Будь первым
Будь первымБудь первым
Будь первымFDConf
 

Tendances (20)

PostgreSQL: Joining 1 million tables
PostgreSQL: Joining 1 million tablesPostgreSQL: Joining 1 million tables
PostgreSQL: Joining 1 million tables
 
Understanding Autovacuum
Understanding AutovacuumUnderstanding Autovacuum
Understanding Autovacuum
 
Python in the database
Python in the databasePython in the database
Python in the database
 
Cassandra summit 2013 - DataStax Java Driver Unleashed!
Cassandra summit 2013 - DataStax Java Driver Unleashed!Cassandra summit 2013 - DataStax Java Driver Unleashed!
Cassandra summit 2013 - DataStax Java Driver Unleashed!
 
Dun ddd
Dun dddDun ddd
Dun ddd
 
ClickHouse and the Magic of Materialized Views, By Robert Hodges and Altinity...
ClickHouse and the Magic of Materialized Views, By Robert Hodges and Altinity...ClickHouse and the Magic of Materialized Views, By Robert Hodges and Altinity...
ClickHouse and the Magic of Materialized Views, By Robert Hodges and Altinity...
 
Clickhouse Capacity Planning for OLAP Workloads, Mik Kocikowski of CloudFlare
Clickhouse Capacity Planning for OLAP Workloads, Mik Kocikowski of CloudFlareClickhouse Capacity Planning for OLAP Workloads, Mik Kocikowski of CloudFlare
Clickhouse Capacity Planning for OLAP Workloads, Mik Kocikowski of CloudFlare
 
Modern query optimisation features in MySQL 8.
Modern query optimisation features in MySQL 8.Modern query optimisation features in MySQL 8.
Modern query optimisation features in MySQL 8.
 
Walbouncer: Filtering PostgreSQL transaction log
Walbouncer: Filtering PostgreSQL transaction logWalbouncer: Filtering PostgreSQL transaction log
Walbouncer: Filtering PostgreSQL transaction log
 
DataStax: An Introduction to DataStax Enterprise Search
DataStax: An Introduction to DataStax Enterprise SearchDataStax: An Introduction to DataStax Enterprise Search
DataStax: An Introduction to DataStax Enterprise Search
 
MariaDB and Clickhouse Percona Live 2019 talk
MariaDB and Clickhouse Percona Live 2019 talkMariaDB and Clickhouse Percona Live 2019 talk
MariaDB and Clickhouse Percona Live 2019 talk
 
Cassandra Summit EU 2014 Lightning talk - Paging (no animation)
Cassandra Summit EU 2014 Lightning talk - Paging (no animation)Cassandra Summit EU 2014 Lightning talk - Paging (no animation)
Cassandra Summit EU 2014 Lightning talk - Paging (no animation)
 
Using PostgreSQL statistics to optimize performance
Using PostgreSQL statistics to optimize performance Using PostgreSQL statistics to optimize performance
Using PostgreSQL statistics to optimize performance
 
Cassandra for Python Developers
Cassandra for Python DevelopersCassandra for Python Developers
Cassandra for Python Developers
 
PostgreSQL Meetup Berlin at Zalando HQ
PostgreSQL Meetup Berlin at Zalando HQPostgreSQL Meetup Berlin at Zalando HQ
PostgreSQL Meetup Berlin at Zalando HQ
 
New features in ProxySQL 2.0 (updated to 2.0.9) by Rene Cannao (ProxySQL)
New features in ProxySQL 2.0 (updated to 2.0.9) by Rene Cannao (ProxySQL)New features in ProxySQL 2.0 (updated to 2.0.9) by Rene Cannao (ProxySQL)
New features in ProxySQL 2.0 (updated to 2.0.9) by Rene Cannao (ProxySQL)
 
Cassandra 3.0 Awesomeness
Cassandra 3.0 AwesomenessCassandra 3.0 Awesomeness
Cassandra 3.0 Awesomeness
 
PostgreSQL 9.6 새 기능 소개
PostgreSQL 9.6 새 기능 소개PostgreSQL 9.6 새 기능 소개
PostgreSQL 9.6 새 기능 소개
 
LJC Conference 2014 Cassandra for Java Developers
LJC Conference 2014 Cassandra for Java DevelopersLJC Conference 2014 Cassandra for Java Developers
LJC Conference 2014 Cassandra for Java Developers
 
Будь первым
Будь первымБудь первым
Будь первым
 

Similaire à ITB2019 Faster DB Development with QB - Andrew Davis

【Maclean liu技术分享】拨开oracle cbo优化器迷雾,探究histogram直方图之秘 0321
【Maclean liu技术分享】拨开oracle cbo优化器迷雾,探究histogram直方图之秘 0321【Maclean liu技术分享】拨开oracle cbo优化器迷雾,探究histogram直方图之秘 0321
【Maclean liu技术分享】拨开oracle cbo优化器迷雾,探究histogram直方图之秘 0321maclean liu
 
Fortify aws aurora_proxy
Fortify aws aurora_proxyFortify aws aurora_proxy
Fortify aws aurora_proxyMarco Tusa
 
Advanced pg_stat_statements: Filtering, Regression Testing & more
Advanced pg_stat_statements: Filtering, Regression Testing & moreAdvanced pg_stat_statements: Filtering, Regression Testing & more
Advanced pg_stat_statements: Filtering, Regression Testing & moreLukas Fittl
 
qb for the rest of us - sam knowlton
qb for the rest of us - sam knowltonqb for the rest of us - sam knowlton
qb for the rest of us - sam knowltonOrtus Solutions, Corp
 
MongoDB World 2019: Life In Stitch-es
MongoDB World 2019: Life In Stitch-esMongoDB World 2019: Life In Stitch-es
MongoDB World 2019: Life In Stitch-esMongoDB
 
Fortify aws aurora_proxy_2019_pleu
Fortify aws aurora_proxy_2019_pleuFortify aws aurora_proxy_2019_pleu
Fortify aws aurora_proxy_2019_pleuMarco Tusa
 
Postgres Performance for Humans
Postgres Performance for HumansPostgres Performance for Humans
Postgres Performance for HumansCitus Data
 
KSQL in Practice (Almog Gavra, Confluent) Kafka Summit London 2019
KSQL in Practice (Almog Gavra, Confluent) Kafka Summit London 2019KSQL in Practice (Almog Gavra, Confluent) Kafka Summit London 2019
KSQL in Practice (Almog Gavra, Confluent) Kafka Summit London 2019confluent
 
PerlApp2Postgresql (2)
PerlApp2Postgresql (2)PerlApp2Postgresql (2)
PerlApp2Postgresql (2)Jerome Eteve
 
Proxysql sharding
Proxysql shardingProxysql sharding
Proxysql shardingMarco Tusa
 
ITB2019 10 in 50: Ten Coldbox Modules You Should be Using in Every App - Jon ...
ITB2019 10 in 50: Ten Coldbox Modules You Should be Using in Every App - Jon ...ITB2019 10 in 50: Ten Coldbox Modules You Should be Using in Every App - Jon ...
ITB2019 10 in 50: Ten Coldbox Modules You Should be Using in Every App - Jon ...Ortus Solutions, Corp
 
DataStax NYC Java Meetup: Cassandra with Java
DataStax NYC Java Meetup: Cassandra with JavaDataStax NYC Java Meetup: Cassandra with Java
DataStax NYC Java Meetup: Cassandra with Javacarolinedatastax
 
KSQL: Streaming SQL for Kafka
KSQL: Streaming SQL for KafkaKSQL: Streaming SQL for Kafka
KSQL: Streaming SQL for Kafkaconfluent
 
SQL – A Tutorial I
SQL – A Tutorial  ISQL – A Tutorial  I
SQL – A Tutorial IGagan Deep
 
New Tuning Features in Oracle 11g - How to make your database as boring as po...
New Tuning Features in Oracle 11g - How to make your database as boring as po...New Tuning Features in Oracle 11g - How to make your database as boring as po...
New Tuning Features in Oracle 11g - How to make your database as boring as po...Sage Computing Services
 
Advanced Postgres Monitoring
Advanced Postgres MonitoringAdvanced Postgres Monitoring
Advanced Postgres MonitoringDenish Patel
 
Azure Day Reloaded 2019 - ARM Template workshop
Azure Day Reloaded 2019 - ARM Template workshopAzure Day Reloaded 2019 - ARM Template workshop
Azure Day Reloaded 2019 - ARM Template workshopMarco Obinu
 
Jdbc oracle
Jdbc oracleJdbc oracle
Jdbc oracleyazidds2
 

Similaire à ITB2019 Faster DB Development with QB - Andrew Davis (20)

QB Into the Box 2018
QB Into the Box 2018QB Into the Box 2018
QB Into the Box 2018
 
【Maclean liu技术分享】拨开oracle cbo优化器迷雾,探究histogram直方图之秘 0321
【Maclean liu技术分享】拨开oracle cbo优化器迷雾,探究histogram直方图之秘 0321【Maclean liu技术分享】拨开oracle cbo优化器迷雾,探究histogram直方图之秘 0321
【Maclean liu技术分享】拨开oracle cbo优化器迷雾,探究histogram直方图之秘 0321
 
Fortify aws aurora_proxy
Fortify aws aurora_proxyFortify aws aurora_proxy
Fortify aws aurora_proxy
 
Advanced pg_stat_statements: Filtering, Regression Testing & more
Advanced pg_stat_statements: Filtering, Regression Testing & moreAdvanced pg_stat_statements: Filtering, Regression Testing & more
Advanced pg_stat_statements: Filtering, Regression Testing & more
 
qb for the rest of us - sam knowlton
qb for the rest of us - sam knowltonqb for the rest of us - sam knowlton
qb for the rest of us - sam knowlton
 
Linq
LinqLinq
Linq
 
MongoDB World 2019: Life In Stitch-es
MongoDB World 2019: Life In Stitch-esMongoDB World 2019: Life In Stitch-es
MongoDB World 2019: Life In Stitch-es
 
Fortify aws aurora_proxy_2019_pleu
Fortify aws aurora_proxy_2019_pleuFortify aws aurora_proxy_2019_pleu
Fortify aws aurora_proxy_2019_pleu
 
Postgres Performance for Humans
Postgres Performance for HumansPostgres Performance for Humans
Postgres Performance for Humans
 
KSQL in Practice (Almog Gavra, Confluent) Kafka Summit London 2019
KSQL in Practice (Almog Gavra, Confluent) Kafka Summit London 2019KSQL in Practice (Almog Gavra, Confluent) Kafka Summit London 2019
KSQL in Practice (Almog Gavra, Confluent) Kafka Summit London 2019
 
PerlApp2Postgresql (2)
PerlApp2Postgresql (2)PerlApp2Postgresql (2)
PerlApp2Postgresql (2)
 
Proxysql sharding
Proxysql shardingProxysql sharding
Proxysql sharding
 
ITB2019 10 in 50: Ten Coldbox Modules You Should be Using in Every App - Jon ...
ITB2019 10 in 50: Ten Coldbox Modules You Should be Using in Every App - Jon ...ITB2019 10 in 50: Ten Coldbox Modules You Should be Using in Every App - Jon ...
ITB2019 10 in 50: Ten Coldbox Modules You Should be Using in Every App - Jon ...
 
DataStax NYC Java Meetup: Cassandra with Java
DataStax NYC Java Meetup: Cassandra with JavaDataStax NYC Java Meetup: Cassandra with Java
DataStax NYC Java Meetup: Cassandra with Java
 
KSQL: Streaming SQL for Kafka
KSQL: Streaming SQL for KafkaKSQL: Streaming SQL for Kafka
KSQL: Streaming SQL for Kafka
 
SQL – A Tutorial I
SQL – A Tutorial  ISQL – A Tutorial  I
SQL – A Tutorial I
 
New Tuning Features in Oracle 11g - How to make your database as boring as po...
New Tuning Features in Oracle 11g - How to make your database as boring as po...New Tuning Features in Oracle 11g - How to make your database as boring as po...
New Tuning Features in Oracle 11g - How to make your database as boring as po...
 
Advanced Postgres Monitoring
Advanced Postgres MonitoringAdvanced Postgres Monitoring
Advanced Postgres Monitoring
 
Azure Day Reloaded 2019 - ARM Template workshop
Azure Day Reloaded 2019 - ARM Template workshopAzure Day Reloaded 2019 - ARM Template workshop
Azure Day Reloaded 2019 - ARM Template workshop
 
Jdbc oracle
Jdbc oracleJdbc oracle
Jdbc oracle
 

Plus de Ortus Solutions, Corp

BATTLEFIELD ORM: TIPS, TACTICS AND STRATEGIES FOR CONQUERING YOUR DATABASE
BATTLEFIELD ORM: TIPS, TACTICS AND STRATEGIES FOR CONQUERING YOUR DATABASEBATTLEFIELD ORM: TIPS, TACTICS AND STRATEGIES FOR CONQUERING YOUR DATABASE
BATTLEFIELD ORM: TIPS, TACTICS AND STRATEGIES FOR CONQUERING YOUR DATABASEOrtus Solutions, Corp
 
Secure your Secrets and Settings in ColdFusion
Secure your Secrets and Settings in ColdFusionSecure your Secrets and Settings in ColdFusion
Secure your Secrets and Settings in ColdFusionOrtus Solutions, Corp
 
Daniel Garcia ContentBox: CFSummit 2023
Daniel Garcia ContentBox: CFSummit 2023Daniel Garcia ContentBox: CFSummit 2023
Daniel Garcia ContentBox: CFSummit 2023Ortus Solutions, Corp
 
ITB_2023_Human-Friendly_Scheduled_Tasks_Giancarlo_Gomez.pdf
ITB_2023_Human-Friendly_Scheduled_Tasks_Giancarlo_Gomez.pdfITB_2023_Human-Friendly_Scheduled_Tasks_Giancarlo_Gomez.pdf
ITB_2023_Human-Friendly_Scheduled_Tasks_Giancarlo_Gomez.pdfOrtus Solutions, Corp
 
ITB_2023_CommandBox_Multi-Server_-_Brad_Wood.pdf
ITB_2023_CommandBox_Multi-Server_-_Brad_Wood.pdfITB_2023_CommandBox_Multi-Server_-_Brad_Wood.pdf
ITB_2023_CommandBox_Multi-Server_-_Brad_Wood.pdfOrtus Solutions, Corp
 
ITB_2023_The_Many_Layers_of_OAuth_Keith_Casey_.pdf
ITB_2023_The_Many_Layers_of_OAuth_Keith_Casey_.pdfITB_2023_The_Many_Layers_of_OAuth_Keith_Casey_.pdf
ITB_2023_The_Many_Layers_of_OAuth_Keith_Casey_.pdfOrtus Solutions, Corp
 
ITB_2023_Relationships_are_Hard_Data_modeling_with_NoSQL_Curt_Gratz.pdf
ITB_2023_Relationships_are_Hard_Data_modeling_with_NoSQL_Curt_Gratz.pdfITB_2023_Relationships_are_Hard_Data_modeling_with_NoSQL_Curt_Gratz.pdf
ITB_2023_Relationships_are_Hard_Data_modeling_with_NoSQL_Curt_Gratz.pdfOrtus Solutions, Corp
 
ITB_2023_Extend_your_contentbox_apps_with_custom_modules_Javier_Quintero.pdf
ITB_2023_Extend_your_contentbox_apps_with_custom_modules_Javier_Quintero.pdfITB_2023_Extend_your_contentbox_apps_with_custom_modules_Javier_Quintero.pdf
ITB_2023_Extend_your_contentbox_apps_with_custom_modules_Javier_Quintero.pdfOrtus Solutions, Corp
 
ITB_2023_25_Most_Dangerous_Software_Weaknesses_Pete_Freitag.pdf
ITB_2023_25_Most_Dangerous_Software_Weaknesses_Pete_Freitag.pdfITB_2023_25_Most_Dangerous_Software_Weaknesses_Pete_Freitag.pdf
ITB_2023_25_Most_Dangerous_Software_Weaknesses_Pete_Freitag.pdfOrtus Solutions, Corp
 
ITB_2023_Practical_AI_with_OpenAI_-_Grant_Copley_.pdf
ITB_2023_Practical_AI_with_OpenAI_-_Grant_Copley_.pdfITB_2023_Practical_AI_with_OpenAI_-_Grant_Copley_.pdf
ITB_2023_Practical_AI_with_OpenAI_-_Grant_Copley_.pdfOrtus Solutions, Corp
 
ITB_2023_When_Your_Applications_Work_As_a_Team_Nathaniel_Francis.pdf
ITB_2023_When_Your_Applications_Work_As_a_Team_Nathaniel_Francis.pdfITB_2023_When_Your_Applications_Work_As_a_Team_Nathaniel_Francis.pdf
ITB_2023_When_Your_Applications_Work_As_a_Team_Nathaniel_Francis.pdfOrtus Solutions, Corp
 
ITB_2023_Faster_Apps_That_Wont_Get_Crushed_Brian_Klaas.pdf
ITB_2023_Faster_Apps_That_Wont_Get_Crushed_Brian_Klaas.pdfITB_2023_Faster_Apps_That_Wont_Get_Crushed_Brian_Klaas.pdf
ITB_2023_Faster_Apps_That_Wont_Get_Crushed_Brian_Klaas.pdfOrtus Solutions, Corp
 
ITB_2023_Chatgpt_Box_Scott_Steinbeck.pdf
ITB_2023_Chatgpt_Box_Scott_Steinbeck.pdfITB_2023_Chatgpt_Box_Scott_Steinbeck.pdf
ITB_2023_Chatgpt_Box_Scott_Steinbeck.pdfOrtus Solutions, Corp
 
ITB_2023_CommandBox_Task_Runners_Brad_Wood.pdf
ITB_2023_CommandBox_Task_Runners_Brad_Wood.pdfITB_2023_CommandBox_Task_Runners_Brad_Wood.pdf
ITB_2023_CommandBox_Task_Runners_Brad_Wood.pdfOrtus Solutions, Corp
 
ITB_2023_Create_as_many_web_sites_or_web_apps_as_you_want_George_Murphy.pdf
ITB_2023_Create_as_many_web_sites_or_web_apps_as_you_want_George_Murphy.pdfITB_2023_Create_as_many_web_sites_or_web_apps_as_you_want_George_Murphy.pdf
ITB_2023_Create_as_many_web_sites_or_web_apps_as_you_want_George_Murphy.pdfOrtus Solutions, Corp
 
ITB2023 Developing for Performance - Denard Springle.pdf
ITB2023 Developing for Performance - Denard Springle.pdfITB2023 Developing for Performance - Denard Springle.pdf
ITB2023 Developing for Performance - Denard Springle.pdfOrtus Solutions, Corp
 

Plus de Ortus Solutions, Corp (20)

BATTLEFIELD ORM: TIPS, TACTICS AND STRATEGIES FOR CONQUERING YOUR DATABASE
BATTLEFIELD ORM: TIPS, TACTICS AND STRATEGIES FOR CONQUERING YOUR DATABASEBATTLEFIELD ORM: TIPS, TACTICS AND STRATEGIES FOR CONQUERING YOUR DATABASE
BATTLEFIELD ORM: TIPS, TACTICS AND STRATEGIES FOR CONQUERING YOUR DATABASE
 
Ortus Government.pdf
Ortus Government.pdfOrtus Government.pdf
Ortus Government.pdf
 
Luis Majano The Battlefield ORM
Luis Majano The Battlefield ORMLuis Majano The Battlefield ORM
Luis Majano The Battlefield ORM
 
Brad Wood - CommandBox CLI
Brad Wood - CommandBox CLI Brad Wood - CommandBox CLI
Brad Wood - CommandBox CLI
 
Secure your Secrets and Settings in ColdFusion
Secure your Secrets and Settings in ColdFusionSecure your Secrets and Settings in ColdFusion
Secure your Secrets and Settings in ColdFusion
 
Daniel Garcia ContentBox: CFSummit 2023
Daniel Garcia ContentBox: CFSummit 2023Daniel Garcia ContentBox: CFSummit 2023
Daniel Garcia ContentBox: CFSummit 2023
 
ITB_2023_Human-Friendly_Scheduled_Tasks_Giancarlo_Gomez.pdf
ITB_2023_Human-Friendly_Scheduled_Tasks_Giancarlo_Gomez.pdfITB_2023_Human-Friendly_Scheduled_Tasks_Giancarlo_Gomez.pdf
ITB_2023_Human-Friendly_Scheduled_Tasks_Giancarlo_Gomez.pdf
 
ITB_2023_CommandBox_Multi-Server_-_Brad_Wood.pdf
ITB_2023_CommandBox_Multi-Server_-_Brad_Wood.pdfITB_2023_CommandBox_Multi-Server_-_Brad_Wood.pdf
ITB_2023_CommandBox_Multi-Server_-_Brad_Wood.pdf
 
ITB_2023_The_Many_Layers_of_OAuth_Keith_Casey_.pdf
ITB_2023_The_Many_Layers_of_OAuth_Keith_Casey_.pdfITB_2023_The_Many_Layers_of_OAuth_Keith_Casey_.pdf
ITB_2023_The_Many_Layers_of_OAuth_Keith_Casey_.pdf
 
ITB_2023_Relationships_are_Hard_Data_modeling_with_NoSQL_Curt_Gratz.pdf
ITB_2023_Relationships_are_Hard_Data_modeling_with_NoSQL_Curt_Gratz.pdfITB_2023_Relationships_are_Hard_Data_modeling_with_NoSQL_Curt_Gratz.pdf
ITB_2023_Relationships_are_Hard_Data_modeling_with_NoSQL_Curt_Gratz.pdf
 
ITB_2023_Extend_your_contentbox_apps_with_custom_modules_Javier_Quintero.pdf
ITB_2023_Extend_your_contentbox_apps_with_custom_modules_Javier_Quintero.pdfITB_2023_Extend_your_contentbox_apps_with_custom_modules_Javier_Quintero.pdf
ITB_2023_Extend_your_contentbox_apps_with_custom_modules_Javier_Quintero.pdf
 
ITB_2023_25_Most_Dangerous_Software_Weaknesses_Pete_Freitag.pdf
ITB_2023_25_Most_Dangerous_Software_Weaknesses_Pete_Freitag.pdfITB_2023_25_Most_Dangerous_Software_Weaknesses_Pete_Freitag.pdf
ITB_2023_25_Most_Dangerous_Software_Weaknesses_Pete_Freitag.pdf
 
ITB_2023_CBWire_v3_Grant_Copley.pdf
ITB_2023_CBWire_v3_Grant_Copley.pdfITB_2023_CBWire_v3_Grant_Copley.pdf
ITB_2023_CBWire_v3_Grant_Copley.pdf
 
ITB_2023_Practical_AI_with_OpenAI_-_Grant_Copley_.pdf
ITB_2023_Practical_AI_with_OpenAI_-_Grant_Copley_.pdfITB_2023_Practical_AI_with_OpenAI_-_Grant_Copley_.pdf
ITB_2023_Practical_AI_with_OpenAI_-_Grant_Copley_.pdf
 
ITB_2023_When_Your_Applications_Work_As_a_Team_Nathaniel_Francis.pdf
ITB_2023_When_Your_Applications_Work_As_a_Team_Nathaniel_Francis.pdfITB_2023_When_Your_Applications_Work_As_a_Team_Nathaniel_Francis.pdf
ITB_2023_When_Your_Applications_Work_As_a_Team_Nathaniel_Francis.pdf
 
ITB_2023_Faster_Apps_That_Wont_Get_Crushed_Brian_Klaas.pdf
ITB_2023_Faster_Apps_That_Wont_Get_Crushed_Brian_Klaas.pdfITB_2023_Faster_Apps_That_Wont_Get_Crushed_Brian_Klaas.pdf
ITB_2023_Faster_Apps_That_Wont_Get_Crushed_Brian_Klaas.pdf
 
ITB_2023_Chatgpt_Box_Scott_Steinbeck.pdf
ITB_2023_Chatgpt_Box_Scott_Steinbeck.pdfITB_2023_Chatgpt_Box_Scott_Steinbeck.pdf
ITB_2023_Chatgpt_Box_Scott_Steinbeck.pdf
 
ITB_2023_CommandBox_Task_Runners_Brad_Wood.pdf
ITB_2023_CommandBox_Task_Runners_Brad_Wood.pdfITB_2023_CommandBox_Task_Runners_Brad_Wood.pdf
ITB_2023_CommandBox_Task_Runners_Brad_Wood.pdf
 
ITB_2023_Create_as_many_web_sites_or_web_apps_as_you_want_George_Murphy.pdf
ITB_2023_Create_as_many_web_sites_or_web_apps_as_you_want_George_Murphy.pdfITB_2023_Create_as_many_web_sites_or_web_apps_as_you_want_George_Murphy.pdf
ITB_2023_Create_as_many_web_sites_or_web_apps_as_you_want_George_Murphy.pdf
 
ITB2023 Developing for Performance - Denard Springle.pdf
ITB2023 Developing for Performance - Denard Springle.pdfITB2023 Developing for Performance - Denard Springle.pdf
ITB2023 Developing for Performance - Denard Springle.pdf
 

Dernier

"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesZilliz
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
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
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 

Dernier (20)

"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector Databases
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
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
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 

ITB2019 Faster DB Development with QB - Andrew Davis