I'm doing a query in SQL and I need to sort my data by some non-repeated field.
Unfortunately, my data is grouped in a way that I cannot guarantee that any column will not have repeated data, so one solution would be to take the row number.
Also, the Cache is not accepting Row_Number () in my querry and I would like to know if there is another solution to return line numbers or some way to add this function to the Cache.
I'm facing a specific sort problem. There are several thousands of articles sold all over. Users expect to get a description in local language sorted by their specific collation.
For my recent tutorial, I used %Query Wizard of Studio.
Could any of the VSCode experts please show me how to generate
Query Statement with input parameters, CONTAINID , ROWSPEC and the required class methods - <queryname>Execute() - <queryname>Fetch() - <queryname>Close()
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 when I use a SQL on the Cache, the condition between "the expression" and "the expression", not permite to me, delete the all ID of this data class?
Is it planned that LOAD DATA takes into account several DATE/DATETIME formats with, for example, a parameter indicating the format used in the source data?
example :
LOAD DATA .../...
USING
{
"from": {
"file": {
"dateformat": "DD/MM/YYYY"
}
}
}
Has anyone found an Eclipse plug-in that provides the capability to connect to a Caché server and give the user a way to write SQL queries using the tables from that server? I'm picturing something like a "WinSQL"-client built as an Eclipse plugin.
I've found and tried the following, but I couldn't get it to connect to my local Caché instance.
I also have a Caché server with "downloadedposts" table.
They are connected from Caché to MySQL via SQL Gateway
I want to keep Caché table synced with MySQL one (MySQL "posts" table is a master copy), so periodically Caché queries MySQL server and downloads data. So far so good, and if a record appears or changes in MySQL table, Caché downloads the changes.
The problem I'm encountering is that sometimes rows would be deleted from MySQL "posts" table.
Would like to know if there is an alternative or better way to paginate through a dataset using dynamic SQL than what I am using below. The problem is that as the potential pool of data gets larger, this code slows down to the point of not being useable. In analyzing each line of code below, it appears the slow down is related to the initial rset.%Next() iteration. Is there anything available which does not require a subquery/%VID such as a simple LIMIT/OFFSET?
We need to export last 5 days Ens.MessageHeader data for a specific messages into file. I have written custom code to execute SQL query in object script.
Could somebody help me to iterate resultSet and write the data to text file.
I have a general query in regards to developers experience on extracting data from cache databases and the most efficient way to do so. I work with a number of clients who have applications with cache databases and require the data off the host system and onto data warehouse platforms for research and analysis. Often they require the data in source state which means the extracts are often simply a table scan of the entire database table without any aggregation or manipulation.
I have a code written in cache sql and trying to understand it, below is the code , can anyone help me understand what does that mean
ex - !! dosage_unit !!
SELECT (CASE WHEN (order_description IS NULL OR (order_description='')) THEN '' ELSE (order_description) END) !! (CASE WHEN (dosage IS NULL OR dosage_unit IS NULL OR (dosage='') OR (dosage_unit='')) THEN '' ELSE (', ' !! dosage !! ' ' !! dosage_unit !!
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