Presenter: Anton Umnikov
Task: Run SQL queries quickly on huge amounts of data
Approach: Use a shared-nothing architecture to leverage a cluster of small, cost-effective servers

Explains how a shared nothing architecture allows you to leverage a cluster of small, costeffective servers to serve query results that would have taken much longer on a single, big and expensive box. This brings affordable horizontal scalability.

Content related to this session, including slides, video and additional learning content can be found here.

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If I have defined a class query in one of my classes and I want to use that query from a method of another class, what are the pros and cons of using the %SQL.Statement interface versus the %Library.ResultSet interface?

I believe %SQL.Statement is the newer interface.

So if the old way is:

USER>s rs=##class(%Library.ResultSet).%New("%Library.File:FileSet")
 
USER>s sc=rs.Execute("c:\s\","*.txt")
 
USER>w sc
1
USER>while rs.%Next() {w !,rs.Data("Name")}

...

then the new way is:

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What is the recommended approach to handle the following scenario: Large number of HL7 messages are serviced via Ensemble. Those messages are then transformed and routed to an Operation which calls a web service which does a number of different activities. If will do address normalization, location geo coding, MPI lookup and resolution, and insert into a SQL Server database to stage for an analytics product. Unfortunately all of this work takes time and the first thing that happens in the web service is a lock taken out on the Patien in SQL Server.

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Caché Monitor is a database\sql tool primarily for InterSystems Caché but can also connect to MS SQL Server, MS Access and more databases. Within Caché Monitors Server Navigator you see all available Namespaces on your Caché Servers. No need to know the name of the Namespace, no need to configure many many JDBC Connections by hand. Just click on the namespace and see all objects like tables, views, classes and more...

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Article
· Feb 2, 2016 1m read
Creating an IDKEY with a chosen name

What do you do if you want to have the ID field have a meaningful name for your application?

Sometimes it comes to pass that when you're making a new table that you want to have the unique row identifier (a.k.a. IDKEY) to be a field that has a name that is meaningful for your data. Moreover, sometimes you want to set this value directly. Caché fully supports this functionality and it works Suppose you have a class Test.Kyle. The data will be stored like so:

^Test.Kyle(IDKEY)=$LB("",Field1,Field2,...,Fieldn)

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Attached to this post is a PDF document outlining some of the key enhancements included with 2016.2. I will be giving a WebEx session that is open to all tomorrow at 11 AM EST. Once the WebEx is over I will be adding a link to the recording for those who cannot attend.

2016.2 Field Test Launch
Tuesday, February 2, 2016
11:00 am | Eastern Standard Time (New York, GMT-05:00) | 30 mins

Meeting number: 747 673 229

Join!

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Hi!

Is there any simple way to query data about processed messages in all Ensemble productions?
What I ultimately would like to do is to periodically export that data to another system and run statistics on it.

I've been digging around in the SQL tables view and Ens.MessageHeader seems to contain most of what I'm after.
Using ODBC I could access that table view and query data, but only for one namespace per DSN it seems.

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The object and relational data models of the Caché database support three types of indexes, which are standard, bitmap, and bitslice. In addition to these three native types, developers can declare their own custom types of indexes and use them in any classes since version 2013.1. For example, iFind text indexes use that mechanism.

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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?

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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.

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