In Cache WIndows environment:

Trying to use the $SYSTEM.SQL.DDLImport to import XML File that has ClassMethods, no SQL Table, but it doesn't appear to be working. I can use this ClassMethod to create SQL Tables. The manual method I have been using is to go into Cache Management Portal, Classes, Import.

I create an XML file first, then run the following to import but get no errors. Any ideas?

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Hi Cache team, I am in the need of listing all the user defined schemas that are present my Cache db and also the user defined tables and views and Columns of those tables and views through Queries. So that I can write some JDBC code to run the queries and fetch the above metadata. Any help is appreciated.

Thanks in Advance,

Kranthi kiran.

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I noticed when creating Record Map's within Ensemble that it is creating a Persistent cache table as it translates the file and puts it into the Record Map data structure.

I was wondering if there was a way to add a column to the cache table that is Hidden from the record map, but is a calculated date value on when that record was inserted? 

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InterSystems IRIS currently limits classes to 999 properties.

But what to do if you need to store more data per object?

This article would answer this question (with the additional cameo of Community Python Gateway and how you can transfer wide datasets into Python).

The answer is very simple actually - InterSystems IRIS currently limits classes to 999 properties, but not to 999 primitives. The property in InterSystems IRIS can be an object with 999 properties and so on - the limit can be easily disregarded.

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I know that 1-1 relationships are not officialy supported by intersystems cache/iris so I want to know the best way to store data with this kind of data model.

Currently I have two classes that where implemented some time ago:

Table A with a relationship type one on table B

Table B with a relationship type one on table A

To compile I have a double compile with qualifyer U.

What is the best way to implement a data model with 1-1 relationships?

Thank you

 

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A More Industrial-Looking Global Storage Scheme

In the first article in this series, we looked at the entity–attribute–value (EAV) model in relational databases, and took a look at the pros and cons of storing those entities, attributes and values in tables. We learned that, despite the benefits of this approach in terms of flexibility, there are some real disadvantages, in particular a basic mismatch between the logical structure of the data and its physical storage, which causes various difficulties.

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Introduction

In the first article in this series, we’ll take a look at the entity–attribute–value (EAV) model in relational databases to see how it’s used and what it’s good for. Then we'll compare the EAV model concepts to globals.

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Is there a way to query the database structure?  In SSMS there are queries for finding tables with a column with a certain name (using LIKE).  And there is the redgate tool SQL Search.  But I'm not sure how to go about looking for columns that have say a value of 'PATID' and returning all tables that match.  Does anyone know?

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In Episode 4 of Data Points, we welcome @Benjamin De Boe to the pod to discuss some of the things you can do to optimize your SQL queries in InterSystems IRIS. We've all heard — either from ourselves or from others — the "this runs too slowly" complaint. I thought Benjamin did a great job walking through many of the things within IRIS you can look at with your queries to see what can be improved.

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In the previous parts (1, 2) we talked about globals as trees. In this article, we will look at them as sparse arrays.

A sparse array - is a type of array where most values assume an identical value.

In practice, you will often see sparse arrays so huge that there is no point in occupying memory with identical elements. Therefore, it makes sense to organize sparse arrays in such a way that memory is not wasted on storing duplicate values.

In some programming languages, sparse arrays are part of the language - for example, in J, MATLAB. In other languages, there are special libraries that let you use them. For C++, those would be Eigen and the like.

Globals are good candidates for implementing sparse arrays for the following reasons:

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Globals, these magic swords for storing data, have been around for a while, but not many people can use them efficiently or know about this super-weapon altogether.

If you use globals for tasks where they truly shine, the results may be amazing, either in terms of increased performance or dramatic simplification of the overall solution (1, 2).

Globals offer a special way of storing and processing data, which is completely different from SQL tables. They were first introduced in 1966 in the M(UMPS) programming language, which was initially used in medical databases. It is still used in the same way, but has also been adopted by some other industries where reliability and high performance are top priorities: finance, trading, etc.

Later M(UMPS) evolved into Caché ObjectScript (COS). COS was developed by InterSystems as a superset of M. The original language is still accepted by developers' community and alive in a few implementations. There are several signs of activity around the web: MUMPS Google group, Mumps User's group), effective ISO Standard, etc.

Modern global based DBMS supports transactions, journaling, replication, partitioning. It means that they can be used for building modern, reliable and fast distributed systems.

Globals do not restrict you to the boundaries of the relational model. They give you the freedom of creating data structures optimized for particular tasks. For many applications reasonable use of globals can be a real silver bullet offering speeds that developers of conventional relational applications can only dream of.

Globals as a method of storing data can be used in many modern programming languages, both high- and low-level. Therefore, this article will focus specifically on globals and not the language they once came from.

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Greetings,

I am working on the first of many triggers which will have identical code upon row insertion or update of a single column.  According to the document I should be able to define a multiple-event trigger using Cache SQL/DDL.

Here is a link to the current CREATE TRIGGER documentation.  Within the description section is the following paragraph:

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I have a persistent class where I am logging each CCDA I receive. I want to store all of the providers associated to that CCDA (many to one). In a relational database, I would have a child table with a foreign key to the primary table. I'm guessing the equivalent to Cache would be 

1. Create a custom class (ProviderList) with the properties I want to store.

2. Add the class as a property of my CCDA persistent class.

Property Providers as Array of ProviderList (SQLProjection = "table/column";

Am I on the right track?

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