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#Databases

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InterSystems Caché database is a file where all the data, application scripts, and users, roles and security configurations are stored. Typically the name of the file is cache.dat.

Documentation.

In this GitHub we gather information from a csv, use a DataTransformation to make it into a FHIR object and then, save that information to a FHIR server all that using only Python.

The objective is to show how easy it is to manipulate data into the output we want, here a FHIR Bundle, in the IRIS full Python framework.

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In this GitHub we fine tune a bert model from HuggingFace on review data like Yelp reviews.

The objective of this GitHub is to simulate a simple use case of Machine Learning in IRIS :
We have an IRIS Operation that, on command, can fetch data from the IRIS DataBase to train an existing model in local, then if the new model is better, the user can override the old one with the new one.
That way, every x days, if the DataBase has been extended by the users for example, you can train the model on the new data or on all the data and choose to keep or let go this new model.

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Hey Developers,

Enjoy watching the new video on InterSystems Developers YouTube channel:

⏯ What is Embedded Python

https://www.youtube.com/embed/X84TSf1u9DY
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Hi team,

I'll start with an apology as I am trying to wrap my head around the architecture of how InterSystems IRIS database management works. I am attempting to connect to the platform remotely through say a JDBC or ODBC connection in order to run queries, searches (through SQL statements) on my laptop and was trying to understand whether this would be possible? It is possible to setup an inbound client connection and wanted to better understand the architecture of how the database association works for IRIS database management. Does it use it's own internal SQL database or are we able to connect to our own database and which databases are certified to run against the platform?

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Question
· Jul 20, 2022
Default Database Resource

Can I please check if anyone know why the data base resource is created differently when creating a namespace after specifically selecting it to use the default resource %DB_%DEFAULT?

I created a namespace and when creating the DB I selected the option to use the default resource

When the namespace creation was complete , database is using a new resource instead of the default.

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I am calling a stored procedure over an ODBC connection and every time I call it there are several warnings written to the log event {Found no Parameter 1 (used as 1) for query}.I seem to be getting this on every query executed and that seems to happen a number of times the query parameters are per query and its filling up my disc.

1) Is there a way to suppress these warnings as the query seems to be executed and data written to the database?

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Hey Developers,

Join us for a discussion guide of current operational tasks to reduce storage and an overview of new features coming in InterSystems HealthShare 2021.2, including stream, database, and journal compression abilities:

⏯ InterSystems HealthShare Storage Footprint Reduction

https://www.youtube.com/embed/ZiGrlslPpQU
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This formation, accessible on my GitHub, will cover, in half a hour, how to read and write in csv and txt files, insert and get inside the IRIS database and a distant database using Postgres or how to use a FLASK API, all of that using the Interoperability framework using ONLY Python following the PEP8 convention.

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I am sure I came across this in the past with Cache and just saw this again in IRIS.

When rebuilding or swapping a DAT file for a database it retains the Resource of the DAT file, not the Resource of the Database it is being used for.

For instance, if I have a local Database called APP with a resource %DB_APP and I want to refresh the data from another Database called TEST that has a Resource %DB_TEST I can just copy the DAT file from the TEST folder to the APP folder.

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Question
· May 6, 2022
User code location

Hi

Does anyone know where the user generated code resides, the stuff one might write for a production, I presume it lives in a table somewhere within a database?

Basically, I want to do some dependency analysis of what I've written - find out what's in use, how it's referenced, etc. I know I can export it to an XML file and work on that, but direct access on a table would be quicker for me.

Cheers

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Hi!

I'd like to know if there are any issues if an index is inserted into a table without running the %BuildIndices() method.

It's important to note that data inserted before the index is not important for retrieval, so it's not a problem data inserted before the index don't show up in queries.

The reason why I'm asking this is that I'd like to avoid index reconstruction on big tables which I need to inser such index.

I'm using Cache 2018.1.

Thanks,

José

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Hi Developers!

Here're the technology bonuses for the InterSystems IRIS Globals Contest 2022 that will give you extra points in the voting:

  • Data-model implementation - 5
  • Functional index implementation - 5
  • Data Move usage - 3
  • Embedded Python - 4
  • Docker container usage - 2
  • ZPM Package deployment - 2
  • Online Demo - 2
  • First Article on Developer Community - 2
  • Second Article On DC - 1
  • Code Quality pass - 1
  • Video on YouTube - 3

See the details below.<--break->

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Question
· Feb 20, 2022
Maximum Global Size ?

Dear people,

I (really) spent hours on finding the maximum size a Global is allowed to be (for Windows, if that matters). All I seem to run into are database sizes (derived from a max number of blocks and block size), but I refuse to believe that is correct because too small to be realistic. surprise

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Found one interesting behaviour in one system with Ensemble. Some Request class has a property with type %XML.CharacterStream by design, this class is the heaviest request in the system, and with profiling journal files, it got about 40% of the file. When I counted all the sizes of such streams per one day and found that the real stored data is three times less.

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I have a SQL query that I want to run against MS SQL from cache ensemble using the SQL outbound adapter. If I run this query direct from MS SQL Studio it take about 7 seconds MAX and returns about half a million rows. The row only contains one column it is a number all same size and if I run this query in the production in ensemble it takes for ever the production finishes without getting the response back. The same query run in cache outside the ensemble environment writing results to a file it returns results taking about 3minutes to complete.

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Consider a Natural Key with an Identity (Serial) field.

I cannot seem to acquire the generated value after persisting my entity. That is, the returned entity by Spring Data's "save" does not have the generated value.

The value is generated by the database, and I can query it after repository.save(entity).

I have done some testing and created a Github repo with it...

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Hi Community,

This post is a introduction of my openexchange iris-python-apps application. Build by using Embedded Python and Python Flask Web Framework.
Application also demonstrates some of the Python functionalities like Data Science, Data Plotting, Data Visualization and QR Code generation.

image

Features

  • Responsive bootstrap IRIS Dashboard

  • View dashboard details along with interoperability events log and messages.

  • Use of Python plotting from IRIS

  • Use of Jupyter Notebook

  • Introduction to Data Science, Data Plotting and Data Visualization.

  • QR Code generator from python.

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Hi Folks,

I created a persistent class as below 

Class myclass.DataBase Extends %Persistent
{

Property ID As %String;

Property Skill As list Of myclass.SerialTablelist;
}

and Created another Serial class as 

Class myclass.SerialTablelist Extends %SerialObject
{

Property PSkill As %String;

Property OSkill As %String;
}

Now I will save the id as below

do rs.Prepare("Insert into myclass.DataBase(ID)VALUES(?)")
do rs.Execute(ID)
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