#Caché

I created a Zen page with a header. All is good. I then created a new Zen page and during the wizard specified that it was a "subclass of a template page". So now I have Class Custom.App.HomePage Extends Custom.App.TemplateMaster. If I visit HomePage.cls I see the header from the template. However, the HomePage class has no XData Contents section so I have no idea how to actually add content. I tried adding the section but once I do then I don't see the template content anymore.

So, how do I put content in a page that extends another page as a template?

The only documentation I found about

Is there someone that has developped a program in order to create a 
"decisiontree"? Depending The answer to a question leads to another question, and so on, 
and so on, and there is an option to return to another point in the decisiontree.

Best regards,

Simon.

p.s. I've already got something, but it's not workable. But to get an idea:

Global Data weergeven

Often times support and sales engineers are asked about recent benchmark results on various platforms and large scale configurations.  These will be made available here in the Developer Community in the "Documentation" section, and as an example here's a link to a recent Intel E7 v2 series processor benchmark.

https://community.intersystems.com/documentation/data-scalability-intersystems-caché-and-intel-processors-0

There are several reports available and more will be made available on an on-going basis.

You may have missed the news that support for older version of Internet Explorer ends next week Tuesday, January 12th. The original blog post from Microsoft can be found here:

https://www.microsoft.com/en-us/WindowsForBusiness/End-of-IE-support

A patch will go live next week Tuesday, that will nag users of older IE versions to upgrade to a recent version. The patch is identified as KB3123303. You can find more information about this patch here:

https://support.microsoft.com/en-us/kb/3123303?sd=rss&spid=14019

I am trying to define the charset for a JQM Application and it is not working. I have tried the following options without success:

Hi,

Is there any API equivalent (within Config.Databases class, or elsewhere) that has the same functionality as the 'Recreate a database' option in the ^DATABASE routine?

This option was added to ^DATABASE (according to internal Devlog CFL1263):

to recreate a database which is equivalent to deleting the .DAT file and recreating it.

I tested this, and the recreate option also appears to also preserve the original database parameters (e.g.max size, resource name).

Is there a way to select distinct keys from an field that has a collection index?I have a field defined as follows: Property data As %Library.String(COLLATION = "EXACT", MAXLEN = "", TRUNCATE = 0); Index data On data(KEYS) [ Type = bitmap ]; And I define a build value array method that parses my data outputs an array in the format array(KEYS)=VALUES.This is very useful because I can query my data using criteria such as  WHERE FOR SOME %ELEMENT(data) (%KEY='param') My question is whether there is some way to select distinct key values, e.g.SELECT DISTINCT KEYS____ FROM ____ .

Hi All,

I am trying to disable a button on a JQM application.

I started the button as disabled according to this code: {type:'$button',caption: Button',key:'button',disabled:true}

However, I would like to enable or disable the button via JavaScript code . I have tried the following, but it don´t have the same behavior and style as the code above.  

var view = zen('mainView');
              view.disableItem('button',true,0);

I expect to get the same component behavior of {type:'$button',caption:'Standard Button',key:'button',disabled:true} when enabling or disabling the button through JavaScript

There seems to be little point to journal audit db updates; why rollback an audit entry for an attempted update?

I’m working on some auditing code and I have a few questions (feel free to respond regarding 2016.1 or later).

1. I’ve noticed that there is little point of journaling updates to an audit database, as the Audit log is essentially an additional journal. Is there any reason not to disable journaling for audit log updates?
2. I’d like to audit even transactions that get rolled back, preferably with information that the rollback occurred (this could be a second audit entry).

I am using &html<> to output some CSS to my page (which is a class-based and not a tag-based page), and the selectors contain the '>' character which the compiler chokes on.  How can I escape the '>' so it still displays as such in the web page source but doesn't trip up the compiler?

This is for 2012.2 btw.

Hi -

If you have Cache installed on a Cent OS machine, and you want to switch the OS to Red Hat 7, and your Caché is installed on a non-OS drive, do you need to reinstall Caché?

I don't think so, but I wanted to check

The attached zip file contains a bunch of examples of Cache SQL Storage mappings that I have done over the years.

If you have existing globals and want to expose them via Objects or SQL you need to setup Cache SQL Storage mapping.  If you do not see an example that helps with your case send me an example and I can help you out.

Tip dvacátý šestý: objekty a concurrency 2 - swizzling

Když tento seriál před několika lety začínal, byl jeho první díl věnován zajištění izolace instance objektů pro exkluzivní přístup a popisu příslušných API funkcí.Nedávno se mi ale stalo, že mě tento díl dostihl.Jeden ze zákazníků začal mít problémy v aplikaci, přestože důsledně používal exkluzivní zámky pro editování instancí svých objektů.

Abstract

A benchmark of a real-world application, which loads data into a data warehouse for subsequent analysis, was performed. To conduct the benchmark, one module of the Oracle-based application was replicated in Caché ObjectScript. Only about 40 person-hours of work was required to duplicate the functionality of the original module in Caché.

The time required to complete certain tasks was measured running the Caché-based module, and was compared to existing data.

Introduction

If the administrators responsible for securing applications had their way, passwords would be long complex strings of random symbols, and users would memorize different passwords for every application they use. But in the real world, few people are capable of such prodigious feats of memory. The typical user can only remember a handful of relatively short passwords.

That’s why an increasing number of applications are requiring two-factor authentication.

Providing a reliable infrastructure for rapid, unattended, automated failover

Technology Overview

Traditional availability and replication solutions often require substantial capital investments in infrastructure, deployment, configuration, software licensing, and planning. Caché Database Mirroring (Mirroring) is designed to provide an economical solution for rapid, reliable, robust, automatic failover between two Caché systems, making mirroring the ideal automatic failover high-availability solution for the enterprise.

In addition to providing an availability solution for unplanned downtime,

Introduction

This document is intended to provide a survey of various High Availability (HA) strategies that can be used in conjunction with InterSystems Caché, Ensemble, and HealthShare Foundation. This document also provides an overview of the various types of system outages that can occur, as well as how each strategy would handle a given outage, with the goal of helping you choose the right strategy for your specific deployment.

The strategies surveyed in this document are based on three different HA technologies:

• Operating System Failover Clusters
• Virtualization-Based HA
• Caché Database

Introduction

Impedance mismatch is a term commonly used to describe the problem of an object-oriented (OO) application housing its data in legacy relational databases (RDBMS). C++ programmers have dealt with it for years, and it is now a familiar problem to Java and other OO programmers.

Impedance mismatch arises from the inherent lack of affinity between the object and relational models.

InterSystems Caché 2015.1 soars from 6 million to more than 21 million end-user database accesses per second on the Intel® Xeon® processor E7 v2 family compared to Caché 2013.1 on the Intel® Xeon® processor E5 family

Overview

With data volumes soaring and the opportunities to derive value from data rising, database scalability has become a crucial challenge for a wide range of industries.In healthcare, the rising demands for healthcare services and significant changes in the regulatory and business climates can make the challenges particularly acute.

Providing a reliable infrastructure for rapid, unattended, automated failover

Technology Overview

Traditional availability and replication solutions often require substantial capital investments in infrastructure, deployment, configuration, software licensing, and planning. Caché Database Mirroring (Mirroring) is designed to provide an economical solution for rapid, reliable, robust, automatic failover between two Caché systems, making mirroring the ideal automatic failover high-availability solution for the enterprise.

In addition to providing an availability solution for unplanned downtime,

Abstract

A global provider of mobile telecommunications software tested the performance of InterSystems Caché and Oracle as the database in a simulated data mart application. They found Caché to be 41% faster than Oracle at building a data mart. When testing the response time to SQL queries of the data mart, Caché's performance ranged from 1.8 times to 513 times faster than Oracle.

Introduction

Telecommunications companies, because they generate and must analyze enormous amounts of information, are among the most demanding database users in the world.

Introduction

With the maturation and wide acceptance of Java, object-oriented programming has moved to the foreground of the application development landscape. Because of their rich data models and support for productivity-enhancing concepts such as encapsulation, inheritance, and polymorphism, object technologies like Java, C++, and COM, are favored by today's application developers.

However, much of the world's data still resides in relational databases.

Introduction

Experts estimate that 85% of all data exists in unstructured formats – held in e-mails, documents (contracts, memos, clinical notes, legal briefs), social media feeds, etc. Where structured data typically accounts for quantitative facts, the more interesting and potentially more valuable expert opinions and conclusions are often hidden in these unstructured formats. And with massive volumes of text being generated at unprecedented speed, there’s very little chance this information can be made useful without some process of synthesis or automation.

Automating text analysis is not

Introduction

To overcome the performance limitations of traditional relational databases, applications - ranging from those running on a single machine to large, interconnected grids - often use in-memory databases to accelerate data access. While in-memory databases and caching products increase throughput, they suffer from a number of limitations including lack of support for large data sets, excessive hardware requirements, and limits on scalability.

InterSystems Caché is a high-performance object database with a unique architecture that makes it suitable for applications that typically use

Executive Overview

One way financial services firms can improve their operational efficiency is to revamp their data management infrastructure. Creating a central repository for data that is used by multiple applications can ensure data consistency and quality across the enterprise, ease integration bottlenecks, and lower the number of failed trades.However, different applications have different database usage patterns. To satisfy them all, any central data repository must:

• Support a large number of transactions with high performance
• Provide fast response to queries, using up-to-date information
• P

Customers who switch to Caché from relational databases report that their average performance is up to 20 time faster, running on the same hardware, with no changes to the application. What is it about Caché that lets applications run so fast?

Introduction

By now, anybody working in the technology sector will have heard of Cloud computing. But the concept is increasingly being paid attention to outside of IT departments, with growing recognition among boardlevel executives of the potential of this range of innovations. Frequently, senior personnel are hearing stories about how the Cloud helps organizations reduce costs, boost efficiency and expand their operations, so they’ll be excited about what the Cloud can do for them.

As a result, Cloud is one of the fastest-growing parts of the IT industry.

Abstract

In a recent benchmark test of an application based on InterSystems Caché, a sustainable rate of 8.9million database accesses/second, with peaks of 16.9 million database accesses/second, was achieved. These results were from a test performed on a connected system of eight applications servers, using Intel Xeon 5570 processors, and running Linux as the operating system. This benchmark shows that:

1. Caché can achieve unheard of levels of performance for an object database. It provides full persistence of data at speeds that are normally only reached by in-memory databases.
2. Caché demonstrates

Introduction

With the growing popularity of smart phones and tablet computers, consumers are coming to expect that software solutions will be presented as "apps" on their mobile devices. The challenge for most application developers is to find ways to make their existing solutions run on modern mobile platforms without incurring the delay and cost of a complete rewrite.

This paper will describe the approach taken by HAPO Community Credit Union when they adapted their online banking application, developed on InterSystems' high performance object database system called Caché, for use with mobile

Introduction

Because of increasing business and governmental pressures to integrate their operations, the financial services industry is developing a number of standards for data exchange and other common functions. Standards such as XBRL, FpML, MDDL, RIXML, and FIXML are all specialized dialects of XML (Extensible Markup Language). Any financial services application with good support for XML will be able to communicate effectively using one or more of the emerging industry standards.

Efficient data exchange increases the need for fast, scalable data persistence.