Developing a database application with Dabo

•Transferir como ODP, PDF•

0 gostou•1,444 visualizações

Command Prompt., Inc

Adrian Klaver Dabo is a Python based desktop application framework. The talk will demonstrate creating a simple application using the three tiers (database, business objects, ui) of the framework. I create my applications by hand coding. There is a GUI interface available and it will be introduced.

Dabo ,[object Object],[object Object]

Dabo ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Dabo ,[object Object],[object Object]

Dabo ,[object Object],[object Object],[object Object],[object Object]

Dabo ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Mais conteúdo relacionado

Destaque

Londiste Replication system for PostgreSQL

Londiste Replication system for PostgreSQL

Londiste Replication system for PostgreSQL

Monitoreo tunning postgresql_2011

Monitoreo tunning postgresql_2011

Monitoreo tunning postgresql_2011

Mastering PostgreSQL Administration

Mastering PostgreSQL Administration

Mastering PostgreSQL Administration

Command Prompt., Inc

PostgreSQL: Un motor Impulsado por una comunidad

PostgreSQL: Un motor Impulsado por una comunidad

PostgreSQL: Un motor Impulsado por una comunidad

Santiago Zarate

Kevin Kempter We'll dive deep into a PostgreSQL HA setup using SLONY and PG POOL II. Covered topics will include: An Overview of SLONY Setup of a working SLONY Cluster Adding/Dropping data structures to/from a SLONY Cluster SLONY switchover SLONY Failover Adding additional nodes PG POOL II Overview Setup of a working PG POOL instance Configuration The PG POOL Health Check Load Balancing The PG POOL System DB Failover and Failback via PG POOL The PG POOL Communitaions Manager (PCP) including: - attaching/detaching nodes to/from the pool - displaying node information for the nodes under PG POOL's control - displaying PG POOL process information - pcp recovery - displaying the PG POOL System DB info Pulling it all together including eliminating any remaining single points of failure, heartbeat mechanisms, etc

PostgreSQL High Availability via SLONY and PG POOL II

PostgreSQL High Availability via SLONY and PG POOL II

PostgreSQL High Availability via SLONY and PG POOL II

Command Prompt., Inc

Alex Alexander & Linas Virbalas Hot standby and streaming replication will move the needle forward for high availability and scaling for a wide number of applications. Tungsten already supports clustering using warm standby. In this talk we will describe how to build clusters using the new PostgreSQL features and give our report from the trenches. This talk will cover how hot standby and streaming replication work from a user perspective, then dive into a description of how to use them, taking Tungsten as an example. We'll cover the following issues: * Configuration of warm standby and streaming replication * Provisioning new standby instances * Strategies for balancing reads across primary and standby database * Managing failover * Troubleshooting and gotchas Please join us for an enlightening discussion a set of PostgreSQL features that are interesting to a wide range of PostgreSQL users.

Building tungsten-clusters-with-postgre sql-hot-standby-and-streaming-replica...

Building tungsten-clusters-with-postgre sql-hot-standby-and-streaming-replica...

Building tungsten-clusters-with-postgre sql-hot-standby-and-streaming-replica...

Command Prompt., Inc

Robert Hodges Users have traditionally used database clusters to solve database availability and performance requirements. However, clustering requirements are changing as hardware improvements make performance concerns obsolete for many users. In this talk I will discuss how the Tungsten project uses master/slave replication, group communications, and rules processing to develop easy-to-manage database clusters that solve database availability, protect data, and address hardware utilization. Our implementation is based on existing PostgreSQL capabilities like Londiste and WAL shipping, which we eventually plan to replace with our own log-based replication. Come see the future of database clustering with Tungsten!

Implementing the Future of PostgreSQL Clustering with Tungsten

Implementing the Future of PostgreSQL Clustering with Tungsten

Implementing the Future of PostgreSQL Clustering with Tungsten

Command Prompt., Inc

Replication using PostgreSQL Replicator

Replication using PostgreSQL Replicator

Replication using PostgreSQL Replicator

Command Prompt., Inc

configuring a warm standby, the easy way

configuring a warm standby, the easy way

configuring a warm standby, the easy way

Command Prompt., Inc

Pg migrator

Command Prompt., Inc

Backup and-recovery2

Backup and-recovery2

Backup and-recovery2

Command Prompt., Inc

Go replicator

Command Prompt., Inc

Python utilities for data presentation

Python utilities for data presentation

Python utilities for data presentation

Command Prompt., Inc

Rod Anderson For the small business support person being able to provide PostgreSQL hosting for a small set of specific applications without having to build and support several Pg installations is necessary. By building a multi-tenant Pg cluster with one tenant per database and each application in it's own schema maintenance and support is much simpler. The issues that present themselves are how to provide and control dba and user access to the database and get the applications into their own schema. With this comes need to make logging in to the database (pg_hba.conf) as non-complex as possible.

A Practical Multi-Tenant Cluster

A Practical Multi-Tenant Cluster

A Practical Multi-Tenant Cluster

Command Prompt., Inc

Replicacion Postgresql

Replicacion Postgresql

Replicacion Postgresql

Scott Bailey Few things we model in our databases are as complicated as time. The major database vendors have struggled for years with implementing the base data types to represent time. And the capabilities and functionality vary wildly among databases. Fortunately PostgreSQL has one of the best implementations out there. We will look at PostgreSQL's core functionality, discuss temporal extensions, modeling temporal data, time travel and bitemporal data.

Temporal Data

Command Prompt., Inc

Josh Berkus Most users know that PostgreSQL has a 23-year development history. But did you know that Postgres code is used for over a dozen other database systems? Thanks to our liberal licensing, many companies and open source projects over the years have taken the Postgres or PostgreSQL code, changed it, added things to it, and/or merged it into something else. Illustra, Truviso, Aster, Greenplum, and others have seen the value of Postgres not just as a database but as some darned good code they could use. We'll explore the lineage of these forks, and go into the details of some of the more interesting ones.

Elephant Roads: a tour of Postgres forks

Elephant Roads: a tour of Postgres forks

Elephant Roads: a tour of Postgres forks

Command Prompt., Inc

PostgreSQL replication

PostgreSQL replication

PostgreSQL replication

NTT DATA OSS Professional Services

Aurynn Shaw This mini-tutorial covers building a small application on Howdah, an open source, Python based web development framework by Commandprompt, Inc. We will cover the full process of designing a vertically coherent application on Howdah, integrating DB-level stored procedures, DB exception propagation through Exceptable, DB access through Simpycity, authentication through repoze.who, permissions through VerticallyChallenged, and application views through Pylons. By the end of the talk, we will have covered a full application built on The Stack, and how to cover common pitfalls in using Howdah components.

Howdah - An Application using Pylons, PostgreSQL, Simpycity and Exceptable

Howdah - An Application using Pylons, PostgreSQL, Simpycity and Exceptable

Howdah - An Application using Pylons, PostgreSQL, Simpycity and Exceptable

Command Prompt., Inc

Destaque (19)

Londiste Replication system for PostgreSQL

Londiste Replication system for PostgreSQL

Londiste Replication system for PostgreSQL

Monitoreo tunning postgresql_2011

Monitoreo tunning postgresql_2011

Monitoreo tunning postgresql_2011

Mastering PostgreSQL Administration

Mastering PostgreSQL Administration

Mastering PostgreSQL Administration

PostgreSQL: Un motor Impulsado por una comunidad

PostgreSQL: Un motor Impulsado por una comunidad

PostgreSQL: Un motor Impulsado por una comunidad

PostgreSQL High Availability via SLONY and PG POOL II

PostgreSQL High Availability via SLONY and PG POOL II

PostgreSQL High Availability via SLONY and PG POOL II

Building tungsten-clusters-with-postgre sql-hot-standby-and-streaming-replica...

Building tungsten-clusters-with-postgre sql-hot-standby-and-streaming-replica...

Building tungsten-clusters-with-postgre sql-hot-standby-and-streaming-replica...

Implementing the Future of PostgreSQL Clustering with Tungsten

Implementing the Future of PostgreSQL Clustering with Tungsten

Implementing the Future of PostgreSQL Clustering with Tungsten

Replication using PostgreSQL Replicator

Replication using PostgreSQL Replicator

Replication using PostgreSQL Replicator

configuring a warm standby, the easy way

configuring a warm standby, the easy way

configuring a warm standby, the easy way

Pg migrator

Backup and-recovery2

Backup and-recovery2

Backup and-recovery2

Go replicator

Python utilities for data presentation

Python utilities for data presentation

Python utilities for data presentation

A Practical Multi-Tenant Cluster

A Practical Multi-Tenant Cluster

A Practical Multi-Tenant Cluster

Replicacion Postgresql

Replicacion Postgresql

Replicacion Postgresql

Temporal Data

Elephant Roads: a tour of Postgres forks

Elephant Roads: a tour of Postgres forks

Elephant Roads: a tour of Postgres forks

PostgreSQL replication

PostgreSQL replication

PostgreSQL replication

Howdah - An Application using Pylons, PostgreSQL, Simpycity and Exceptable

Howdah - An Application using Pylons, PostgreSQL, Simpycity and Exceptable

Howdah - An Application using Pylons, PostgreSQL, Simpycity and Exceptable

Mais de Command Prompt., Inc

Josh Berkus You've heard that PostgreSQL is the highest-performance transactional open source database, but you're not seeing it on YOUR server. In fact, your PostgreSQL application is kind of poky. What should you do? While doing advanced performance engineering for really high-end systems takes years to learn, you can learn the basics to solve performance issues for 80% of PostgreSQL installations in less than an hour. In this session, you will learn: -- The parts of database application performance -- The performance setup procedure -- Basic troubleshooting tools -- The 13 postgresql.conf settings you need to know -- Where to look for more information.

5 Steps to PostgreSQL Performance

5 Steps to PostgreSQL Performance

5 Steps to PostgreSQL Performance

Command Prompt., Inc

Normalization: A Workshop for Everybody Pt. 2

Normalization: A Workshop for Everybody Pt. 2

Normalization: A Workshop for Everybody Pt. 2

Command Prompt., Inc

Normalization: A Workshop for Everybody Pt. 1

Normalization: A Workshop for Everybody Pt. 1

Normalization: A Workshop for Everybody Pt. 1

Command Prompt., Inc

Integrating PostGIS in Web Applications

Integrating PostGIS in Web Applications

Integrating PostGIS in Web Applications

Command Prompt., Inc

Postgres for MySQL (and other database) people

Postgres for MySQL (and other database) people

Postgres for MySQL (and other database) people

Command Prompt., Inc

Brent Baxter and Ken Rimple The talk starts with a basic overview of the Grails framework. We will cover the basic building blocks (domains, controllers, views, grails command line), and build a small application. During the talk, we will configure Grails to connect to PostgreSQL, introduce strategies for mapping the Grails ORM (GORM) domain objects to familiar PostgreSQL features such as keys, indexes, data types, and other options. We will also discuss executing stored procedures from Grails. At the end of the talk, the developer will come away with a good high-level overview of the grails platform, and how it can be used to develop applications based on a PostgreSQL database.

Building Grails applications with PostgreSQL

Building Grails applications with PostgreSQL

Building Grails applications with PostgreSQL

Command Prompt., Inc

Theo Schlossnagle Often times, when we make changes in a database we also want to "do something useful." Simply sending and email or triggering an ETL into a non-postgres system like Lucene is also a bit convoluted and painful. By using asynchronous messaging, we can make this simple. There have been a few attempts in the past to add into postgres the ability to queue external tasks, but with AMQP you get a complete package. pg_amqp marries the AMQP standard into PostgreSQL providing transaction-aware message queueing. We'll talk about how easy it can be to get an AMQP enabled postgresql up and running with pg_amqp. We'll also discuss the caveats that exist in pg_amqp (currently implementing AMQP 0.8) and how AMQP 1.0 will eventually solve them.

Pg amqp

Command Prompt., Inc

Jeff Davis UNIQUE indexes have long held a unique position among constraints: they are the only way to express a constraint that two tuples in a table conflict without resorting to triggers and locks (which severely impact performance). But what if you want to impose the constraint that one person can't be in two places at the same time? In other words, you have a schedule, and you want to be sure that two periods of time for the same person do not overlap. This is nearly impossible to do efficiently with the current version of PostgreSQL -- and most other database systems. I will be presenting Exclusion Constraints, which has been accepted for the next PostgreSQL release, along with the PERIOD data type (available now from PgFoundry). I will show how these can, together, offer a fast, scalable, and highly concurrent solution to a very common business requirement. A business requirement is still a requirement even if your current database system can't do it!

Not Just UNIQUE: Exclusion Constraints

Not Just UNIQUE: Exclusion Constraints

Not Just UNIQUE: Exclusion Constraints

Command Prompt., Inc

pg_proctab: Accessing System Stats in PostgreSQL

pg_proctab: Accessing System Stats in PostgreSQL

pg_proctab: Accessing System Stats in PostgreSQL

Command Prompt., Inc

Database Hardware Benchmarking

Database Hardware Benchmarking

Database Hardware Benchmarking

Command Prompt., Inc

Aurynn Shaw In this talk, we will cover Vertically Challenged, a plugin for repoze.who which utilizes the Postgres system roles for web application authorization. We will be covering the underlying theory of Vertically Challenged, both in terms of benefits to your project, as well as the weaknesses of the concept, and how VC leverages database functionality to make your application easier to code and maintain. We will also be covering how to design your database roles tree, how Vertically Challenged makes your roles tree available in the application layer, and how to integrate Vertically Challenged with repoze.who.

Vertically Challenged

Vertically Challenged

Vertically Challenged

Command Prompt., Inc

Mais de Command Prompt., Inc (11)

5 Steps to PostgreSQL Performance

5 Steps to PostgreSQL Performance

5 Steps to PostgreSQL Performance

Normalization: A Workshop for Everybody Pt. 2

Normalization: A Workshop for Everybody Pt. 2

Normalization: A Workshop for Everybody Pt. 2

Normalization: A Workshop for Everybody Pt. 1

Normalization: A Workshop for Everybody Pt. 1

Normalization: A Workshop for Everybody Pt. 1

Integrating PostGIS in Web Applications

Integrating PostGIS in Web Applications

Integrating PostGIS in Web Applications

Postgres for MySQL (and other database) people

Postgres for MySQL (and other database) people

Postgres for MySQL (and other database) people

Building Grails applications with PostgreSQL

Building Grails applications with PostgreSQL

Building Grails applications with PostgreSQL

Pg amqp

Not Just UNIQUE: Exclusion Constraints

Not Just UNIQUE: Exclusion Constraints

Not Just UNIQUE: Exclusion Constraints

pg_proctab: Accessing System Stats in PostgreSQL

pg_proctab: Accessing System Stats in PostgreSQL

pg_proctab: Accessing System Stats in PostgreSQL

Database Hardware Benchmarking

Database Hardware Benchmarking

Database Hardware Benchmarking

Vertically Challenged

Vertically Challenged

Vertically Challenged

Developing a database application with Dabo

1.

2.

3.

4.

5.