#SQL

Apache Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.

And now it is possible to use with InterSystems IRIS as well.

An online demo is available and it uses IRIS Cloud SQL as a data source.

i use %SQLGatewayConnection to insert data to mysql from xml，when if the value`s ascii of any field in the sql equal to 57659 ，

We have a rule to disable a user account if they have not logged in for a certain number of days. IRIS Audit database logs many events such as login failures for example. It can be configured to log successful logins as well. We have IRIS clusters with many IRIS instances. I like to run queries against audit data from ALL IRIS instances and identify user accounts which have not logged into ANY IRIS instance.

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⏯ Connecting to InterSystems Cloud Services with Java

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Within IRIS I defined a task to export audit data every day.

I provide some sample files in my GitHub repo.

I have Audit consolidator deployed in AWS where I scheduled Audit Export task to run daily.

Xml files are stored in mgr directory because the task runs in %SYS namespace.

Hey Developers,

We'd like to invite you to join our next contest dedicated to creating AI/ML solutions that use Cloud SQL to work with data:

🏆 InterSystems IRIS Cloud SQL and IntegratedML Contest 🏆

Duration: April 3 - April 23, 2023

Prize pool: $13,500

Hi all,

I'm trying to use LOAD DATA to insert 11k (11,377) rows of data. LOAD BULK DATA is not available for the version of IRIS I am using.

After calling LOAD DATA it says only 5,500 rows has been inserted. The LOAD DATA docs says any error rows are skipped and a count of skipped rows can be found in %SQL_Diag.Result however there are no results here. There are no errors in the xDBC error log either.

Why have over half the rows been skipped?

Assuming I have an SQL table with data, is it possible to get DML export (INSERT statements for this data)?

looking into tenants I see this:

But on the main page, I have 2 deployments that I can work with !!

What is going on ??

On an IRIS system, we expect the default string collation for SQL columns to be SQLUPPER. This means WHERE conditions will be case-insensitive. However, when I make a WHERE condition on a SQL procedure that returns a string, it's case sensitive.For example:

Hi.

I have a query:

SELECT '['||Material->Sifra||'] '||Material->Opis AS Material,
SUM(MasaBlago) AS MasaBlago
FROM Tehtanje.Dokument
WHERE DatumDokumenta BETWEEN '01/01/2023' AND '04/01/2023'
AND (Material->Sifra %INLIST $LISTFROMSTRING('5,7',','))
GROUP BY Material
ORDER BY %EXACT Material

The query returns all rows where Material->Sifra is 5 or 7. That's OK.

If I want to get all rows where Material->Sifra is NOT 5 or 7 I use query:

In some testing scenarios, I need to clone the database. While I use only SQL access.

I need all data to be cloned, not mapped from the original database, and a separate database to be accessed.

Is there any way to do so?

Something like

Named parameters can be achieved with SQLAlchemy :

from sqlalchemy import create_engine, text,types,engine

_engine = create_engine('iris+emb:///')

with _engine.connect() as conn:
    rs = conn.execute(text("select :some_private_name"), {"some_private_name": 1})
    print(rs.all())

or with native api

from sqlalchemy import create_engine, text,types,engine

# set URL for SQLAlchemy
url = engine.url.URL.create('iris', username='SuperUser', password='SYS', host='localhost', port=33782, database='FHIRSERVER')

_engine = create_engine(url)

with _engine.connect() as conn:
    rs = conn.execute(text("select :some_private_name"), {"some_private_name": 1})
    print(rs.all())