InterSystems Caché is a multi-model DBMS and application server. See more details here.
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
The European Space Agency (ESA) has chosen InterSystems Caché as the database technology for the AGIS astrometric solution that will be used to analyze the celestial data captured by the Gaia satellite.
The Gaia mission is to create an accurate phase-map of about a billion celestial objects. During the mission, the AGIS solution will iteratively refine the accuracy of Gaia's spatial observations, ultimately achieving accuracies that are on the order of 20 microarcseconds.
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.
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.
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.
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.
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.
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.
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:
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.
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.
Executive Summary
For twenty years or more, large financial institutions have been locked in a battle between the need for extremely high performance transaction processing and the demands of downstream applications that can deliver competitive advantage if they can get real time access to this transactional data. When individual database servers could no longer handle simultaneous transaction and query workloads, many firms turned to replication, offloading data access onto read-only copies of production databases.
InterSystems has implemented a broad set of MultiValue extensions for its Caché multidimensional database. These extensions enable the migration of MultiValue applications to Caché and bring the full range of Caché object and SQL development technologies to MultiValue developers. The result: your existing MultiValue investments are preserved, you gain a broad spectrum of highly scalable deployment options, and your developers can combine the best of MultiValue, object, relational, and technologies to extend existing applications and build new ones.
Introduction
In today's world, an ever-increasing number of purchases and payments are being made by credit card. Although merchants and service providers who accept credit cards have an obligation to protect customers' sensitive information, the software solutions they use may not support "best practices" for securing credit card information. To help combat this issue, a security standard for credit card information has been developed and is being widely adopted.The Payment Card Industry (PCI) Data Security Standard (DSS) is a set of guidelines for securely handling credit card information.
InterSystems encourages the adoption of a flexible, practical approach to application development, rather than strict adherence to one of the prevalent development theories. This paper offers advice based upon our experience. However needs, attitudes, and styles vary; we recommend that each programmer choose the development approach that works best for them. Caché supports a wide range of development methodologies, not just those recommended here.
Using Intel® Advanced Encryption Standard New Instructions with InterSystems Caché Substantially Improves Encryption Performance and Reduces Computational Overhead
Executive Summary
Financial services companies have an ever-growing need to encrypt databases containing sensitive customer and trade data. However, using encryption on these databases can require significant computational resources, potentially impacting trading latencies.
Executive Summary
The best way to compare the performance of database products is in a head-to-head test using a real application, preferably one of your own. This is especially true when evaluating Caché's post-relational technology, because "standard" transaction processing benchmarking methodologies assume the restrictive "row and columns" format of a relational database. They cannot accurately predict the performance of real applications, which often use complex data models.
Hi All, I am taking a namespace and routines from one table for particular user.if the user have name space and routine means it execute well but after executed the routine it is automatically quit and close the session.I need to keep the same namespace after executing the routine. Please help to proceed further anyone.
This code snippet uses GZIP to compress and decompress a file in the file system. Change default file paths to customize code to compress/decompress your files:
Class objectscript.GZIP Extends %RegisteredObject
{
classmethod test() {
//Export Global(s) uncompressed
set filename="C:\Temp\myglobal.xml"
do $System.OBJ.Export("^oddEXTR.gbl",filename)
//Open exported Globals
set uncompressed = ##class(%FileBinaryStream).%New()
set uncompressed.Filename=filename
Set compressed = "C:\temp\mycomglobal.xml"
//Open File Device over Gzip and Copy Uncompressed information to it
Open compressed:("WUNK":::/GZIP=1:/NOXY=1:/OBUFSIZE=32768):0
Use compressed
do uncompressed.OutputToDevice()
close compressed
//Create New File
set out = ##class(%FileBinaryStream).%New()
set out.Filename= "C:\Temp\decomp.xml"
//Open compressed File and save information uncompressed over gzip
Set file=##class(%File).%New(compressed)
Do file.Open("RUK:::/GZIP=1:/NOXY=1")
while ' file.AtEnd
{
set line = file.ReadLine()
do out.Write(line)
}
do out.%Save()
}
}
GitHub: https://github.com/intersystems-community/code-snippets/blob/master/src/cls/objectscript/GZIP.cls
Hi All, I configured the crystal report SAP 2011 with IIS 10 in windows server 2012 r2 standard,when I tried to open it shows failed to open the connection error .database is Cache.how to recover that problem.
Hello everyone,
I have the following problem in generating a PDF report in ZEN, which has many items, a general total of approximately 30,000 items, but gives an error, I can generate a report with a maximum of 8,000 items, which may be wrong.
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