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#SQL

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SQL is a standard language for storing, manipulating and retrieving data in relational databases.

If you're migrating from Oracle to InterSystems IRIS—like many of my customers—you may run into Oracle-specific SQL patterns that need translation.

Take this example:

SELECT (TO_DATE('2023-05-12','YYYY-MM-DD') - LEVEL + 1) AS gap_date
FROM dual
CONNECT BY LEVEL <= (TO_DATE('2023-05-12','YYYY-MM-DD') - TO_DATE('2023-05-02','YYYY-MM-DD') + 1);

In Oracle:

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Hi community.

I was wondering if it was possible to use something like EnsLib.SQL.InboundAdapter with tables in IRIS.

This library monitors when a record has been inserted into a table in an external database, so it requires a DSN to connect to that database.

My goal is to make a call to an external API that takes a long time, it could spend nearly an hour (or more) completing its processes, but I don't want to block the main process.

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Does anyone have a query that I could run to show a Vendor the time difference between when a message was sent out a BO, and when we received the HL7 ACK back that is associated with the message sent?

I am trying to prove to this vendor of the delay we are seeing getting the ACK back because of a Timeout

I know how to pull Ens.MessageHeader, and EnsLib.HL7.Message but not sure how to match up the Message with the HL7 Acknowledgement received.

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I am testing vectorsearch, while doing so I am trying to paginate my resultset for a "next page" function to give me the first, second, third 15 entries within a table.

For this I have two embedding classes. One with a HNSW Index (vectornomicembedtextlatest) , and one without (vectornomicembedtexttest).

Calling SELECT ID,PRIMKEY FROM SQLUser.vectornomicembedtexttest LIMIT 5 OFFSET 1 works fine with the first entry having the rowID of 486448. (I deleted old entries in the beginning and reused the table)

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This article describes a significant enhancement of how InterSystems IRIS deals with table statistics, a crucial element for IRIS SQL processing, in the 2025.2 release. We'll start with a brief refresher on what table statistics are, how they are used, and why we needed this enhancement. Then, we'll dive into the details of the new infrastructure for collecting and saving table statistics, after which we'll zoom in onto what the change means in practice for your applications. We'll end with a few additional notes on patterns enabled by the new model, and look forward to the follow-on phases of this initial delivery.

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