Java Database Connectivity (JDBC) is an application programming interface (API) for the programming language Java, which defines how a client may access a database.
I am currently working on a issue with WRC on one of my Inbound SQL Adapters not returning all the records it should be. If I looked at the count of the records in Ensemble and compare it to that of a Microsoft SQL View, Ensemble seems to be off by a few records here and there. I am using a full dynamic select statement in my settings of the adapter.
i have a problem with the "ExecuteUpdateParmArray()" methode from the "EnsLib.SQL.OutboundAdapter" adaptater when i try to update a sql server 2008 table with JDBC connection.
I am trying to set up a sensor in PRTG to connect to Cache, specifically the ens_util.log, so that I can have a live feed of my error count. I am having trouble getting the sensor to log in to Cache. Has anyone had any luck getting PRTG to connect on the database level? Thanks!
Apache Spark has rapidly become one of the most exciting technologies for big data analytics and machine learning. Spark is a general data processing engine created for use in clustered computing environments. Its heart is the Resilient Distributed Dataset (RDD) which represents a distributed, fault tolerant, collection of data that can be operated on in parallel across the nodes of a cluster. Spark is implemented using a combination of Java and Scala and so comes as a library that can run on any JVM.
I'm using Caché JDBC driver to store, retrieve and some other operations. I have another question, "Is there any possible to execute the cache commands using JAVA".
I get this on some queries in some namespaces. For instance, this query:
SELECT TOP 10 SessionId, datediff(s,min(TimeCreated),max(TimeCreated)) as ResponseTime FROM ens.messageheader GROUP BY SessionId ORDER BY ResponseTime DESC
It works fine in HSBUS but in HSREG it throws the error.
Server closed communication device
Does anyone know what would cause this? Would it log something more useful somewhere?
As we all know, Caché is a great database that accomplishes lots of tasks within itself. However, what do you do when you need to access an external database? One way is to use the Caché SQL Gateway via JDBC. In this article, my goal is to answer the following questions to help you familiarize yourself with the technology and debug some common problems.
I've asked a lot of questions leading up to this, so I wanted to share some of my progress.
The blue line represents the number of messages processed. The background color represents the average response time. You can see ticks for each hour (and bigger ticks for each day). Hovering over any point in the graph will show you the numbers for that period in time.
This is super useful for "at a glance" performance monitoring as well as establishing patterns in our utilization.
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'm trying to authenticate a user(Health Share clinician) from a Java Application.
I 'm already connected to Caché and able to run SQL commands.
My question is: How can I authenticate a user using only SQL? In fact, what I want is verify if the users exists in the base and if the given password is the same used in Health Share.
There is a column 'password' in Security.users table but I'm not able to see its content, even so, I don't know which hash function to use to compare with.
We are creating a package (written in Caché Object Script) that will provide access to an external DB (MySQL). Because applications that use our package will be run from machines with various, potentially unexpected, operating systems, we’d like to establish a connection to the external DB without using DSNs (we’ve heard that setting up DSNs on certain non-Windows machines can be cumbersome and problematic).
It would be convenient to be able to fetch the whole query result in one operation instead of looping through every row. A fetch_all() method or something similar would provide this functionality I guess. Is there a reason why this is not implemented?
The Caché System Management Portal includes a robust web-based SQL query tool, but for some applications it’s more convenient to use a dedicated SQL client installed on a user’s PC.
SQuirreL SQL is a well known open source SQL client built in Java, which uses JDBC to connect to a DBMS. As such, we can configure SQuirreL to connect to Caché using the Caché JDBC driver.
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.
This is a sample Ensemble/Health Connect production which demonstrates how to receive an HL7 order (ORM) inbound from a file, extract fields (in this case, basic demographic information), and insert those into a table in an external SQL database via ODBC.
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