#SQL

I am trying to pinpoint and troubleshoot an issue we have been seeing lately. We have several SQL Outbound Adapter Operations that are seeing issues trying to connect to our MS SQL Servers using the JDBC Gateway for calling insert, select, update, and stored procedure calls.

I'm trying to execute SQL on a EC2 via SSM:

import boto3

instanceid = "i-123456789"
sql = """SELECT path FROM Security.Applications WHERE ID = '/csp/sys'"""
template = """su - irisusr -c 'cat << EOF | iris sql iris -U %SYS
                """ + sql + """
                        q
                        EOF'
                       """
template = [line.strip() for line in template.splitlines()] 
template = """\n""".join(template) 
ssm_client = boto3.client('ssm') 
response = ssm_client.send_command(
            InstanceIds=[instanceid],
            DocumentName="AWS-RunShellScript",
            Comment=AWS,
            Parameters={'commands': template})

Hello all,

I'm trying to build a cube based on a linked table but seems that IRIS is not able to do it :O

Long story short, I have a linked table in IRIS that sources a Microsoft SQL table (using standard linked feature from the portal). It works fine, I can access it using SQL as many other times. On top of that, I've created in DeepSee (ok, Analytics) a cube that uses this class as source. It compiles correctly, no errors given. When I build it with 100 records, all goes well and using Analyzer I can see results.

Hi,

I'm trying to access to my datas stored in a RecordMap from SQLAlchemy, and I need to access to any tables already created before using SQLAlchemy.

Here is some part of my code :

TestBase:

I am experiencing an issue while executing a stored procedure in InterSystems Cache. Here’s the procedure I created

CREATE PROCEDURE Silk.sp_InsertRecord (
IN RecordDate TIMESTAMP,
IN UserName VARCHAR(50),
IN RecordType INT,
IN RecordID VARCHAR(50),
IN CategoryID INT,
IN ApprovalDate TIMESTAMP,
IN FileSize BIGINT,
IN WorkstationName VARCHAR(50)
)
BEGIN
INSERT INTO DummyRecords (
RecordKey,
FilePath,
RecordDate,
UserName,

when doing ETL process from cache database to mysql database(ods) and to another mysql database(dwd).

There are lots of DR columns in one table.

In the first step we need two databases to be totally consistent(ods=cache database)

However, the DR column in another database lost its meaning and become to normal number.

In the last step we do the data governance in ODS to DWD. My question is how to write sql without many `join` in this step.