You can use sandbox capabilities in the InterSystems IRIS Data Platform as an analytics sandbox. It provides a single tool for integration purposes, such as creating DataOps applications, BI tools, and analytical processes. InterSystems IRIS allows you to work with various programming languages including Java, Python, .NET, Node.js, and ObjectScript, and supports performing analytics and data visualizations directly within the platform [1].

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You can retrieve and analyze SQL query execution plans programmatically and through interactive commands using InterSystems tools. Here are the approaches available:

1. EXPLAIN Command:
   Use the EXPLAIN command in SQL to display the query execution plan for a SELECT query without actually executing the query. Example:

   SQL]USER>>EXPLAIN SELECT Name FROM Sample.MyTable WHERE Name='Fred Rogers'
   

   This command also allows for generating performance statistics with EXPLAIN STAT or alternate query plans with EXPLAIN ALT [1][2].

2. SHOW PLAN Command:
   After executing your query, use the SHOW PLAN command in the SQL Shell to display its plan. Alternatively, you can set the execution mode to deferred to view the plan without running the query:

   SQL]USER>>SELECT Name FROM Sample.MyTable WHERE Name='Fred Rogers'
   SQL]USER>>SHOW PLAN
   

   SHOW PLAN works for other statement types, including INSERT, UPDATE, and DELETE operations [1][2].

3. SHOW PLANALT:
   The command SHOW PLANALT can display alternate execution plans for your query. This is useful for comparing different strategies proposed by the SQL optimizer [2].

4. ObjectScript Method ($SYSTEM.SQL.Explain):
   Generate query execution plans programmatically using ObjectScript and the $SYSTEM.SQL.Explain() method. This can be integrated into your application workflows for automated analysis purposes [1][2].

These tools provide comprehensive ways to programmatically retrieve and analyze SQL query plans alongside their associated performance metrics, suppressing the need for SQL execution when desired and offering functionalities for debugging and optimization.

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Yes, globals can exist independently without any association with SQL tables or classes, and in such situations, they wouldn't be accessible via SQL. Globals are a unique storage structure in InterSystems IRIS, serving as persistent multidimensional sparse arrays. These can be directly manipulated with ObjectScript or other programming languages compatible with IRIS, allowing the creation of custom data structures not adhering to relational or object models. Without SQL integration or object class mapping, such globals are strictly managed at the global level [1][2].

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The dropdown option "Alert Groups" in operations and processes serves a different purpose than the simple list of email recipients configured in EnsLib.EMail.AlertOperation. Alert Groups allow you to categorize and assign alerts to specific groups of users or transmission mechanisms based on predefined rules or configurations. This functionality enables more granular routing and handling of alerts compared to sending all alerts to a fixed recipient list.

Here is how they differ:

1. Simple Email Alert with Recipients:

   • The operation EnsLib.EMail.AlertOperation sends notifications to a static list of recipients.
   • It is typically used for straightforward notification setups where all alerts go to the same group of users or email addresses [1][2].

2. Alert Groups:

   • Alert Groups facilitate routing of alerts to different sets of users or groups, or through different mechanisms based on the type of alert and the component generating it.
   • This allows for more flexible and dynamic configuration, for instance routing critical alerts to specific teams or systems while sending less critical alerts to general monitoring groups [3].
   • The groups are often defined within the component settings, and their functionality is part of managed alert frameworks that include escalations, tracking, and classification of alerts [3][4][2].

This distinction enables you to manage scenarios where different alerts require different handling, escalation, or customization specific to certain users or teams. In scenarios requiring complex routing, Alert Groups provide a powerful tool to meet such needs. [3][2][4]

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Email accounts displayed under the AlertGroups dropdown are configured in your InterSystems production settings. Specifically, valid email addresses are defined in the "Alert Notification Recipients" field within the "Alerting Control" group of production settings [1].

Additionally, within the configuration of the "EMailAlertOperation" operation, recipient and cc fields can be left blank or specific email addresses can be entered. Emails set here are sent along with those specified in the production-wide 'Alert Notification Recipients' list [1].

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To address the implementation of a computed column in InterSystems IRIS similar to the PostgreSQL query you provided:

IRIS does not support GENERATED ALWAYS AS directly in SQL DDL commands for computed columns. The approach involves using COMPUTECODE. However, the error you encountered, suggests issues with syntax or implementation. A viable alternative might involve defining the logic in an appropriate trigger function or querying with derived columns directly [1][2].

For further assistance, you might consider asking for specific guidance on the Developer Community, especially if the proposed methods or adaptations still do not align with your requirements.

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To create a dashboard based on an SQL query in InterSystems Analytics, you can follow these general steps:

1. Create a Namespace if Needed:
   Set up a separate namespace where you can compile messages or report outputs. This includes configuring databases for globals and routines for the namespace [1].

2. Import and Prepare Code:
   Develop classes in Studio to fetch and calculate metrics, and compile them for use in your dashboard. Store the processed metrics in persistent classes that can later be used in an analytics cube [1].

3. Global and Package Mapping:
   Configure global and package mappings for the namespaces involved in your analytics. These settings allow data to be retrieved from specified sources when building the dashboard [1].

4. Build Analytics Cube:
   Use the Analytics Architect to create a cube based on the class that stores the metrics. Define dimensions, measures, and time roll-up elements as needed. Compile the cube and verify its structure [1].

5. Create Pivot Tables:
   Access the Analyzer to generate pivot tables based on the cube. Drag dimensions and measures onto rows and columns as appropriate. Save these tables after organizing the data display according to your requirement [1][2].

6. Design and Add Pivot Tables to Dashboard:

   • Open Analytics > User Portal and create a new dashboard.
   • Add widgets (e.g., tables) to the dashboard by selecting the pivot tables created earlier.
   • Arrange and resize widgets for better visibility and presentation [3][2].

7. Add Filters and Controls:
   Configure filter controls directly on widgets in the dashboard editor. Filters allow users to interact and narrow down the data (e.g., by ZIP code or other dimensions). Default values for these controls can also be added to streamline dashboard use [2].

8. Save and Test Dashboard:
   Store the dashboard configuration, test interactions, and verify the appearance and functionality. By default, analytics dashboards auto-save upon modification [2].

By completing the steps above, you can effectively transform your SQL query into an operational analytics dashboard, enabling efficient visualization and filtering for users. [1][3][2]

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No, a pre-existing <Signature> element is not required in the XML document before signing it using %XML.Security.Signature. The signing process builds and inserts the <Signature> element during the SignDocument() call, provided the signature object is properly initialized and associated with the document.

The error "Canonicalize error: Signature not found" occurs when the signature's structure does not match the expected format or is not correlated correctly with the document. The %XML.Security.Signature requires the setup of references and methods, and all associated objects must be correct and linked before executing the SignDocument() method.

To resolve the situation:
1. Ensure the SignedInfo section is properly configured using the required signature and digest methods.
2. Associate the Reference instance with the signature object using AddReference().
3. Confirm the document object is correctly serialized before calling the SignDocument() method. This ensures adequate linkage between the XML structure and the signature object [1][2].

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You can increase the timeout for CSP Gateway calls, specifically for individual pages or requests, without changing the default configuration of the CSP Gateway.

In the CSP code, use the Timeout property to specify the timeout for the page. This property changes the server response timeout for a specific CSP page only, allowing you to execute long-running operations like expensive SQL queries without impacting the default CSP Gateway timeout settings. For example:

Property Timeout As %Integer;

You can set this property in the OnPreHTTP() method of the page as follows:

ClassMethod OnPreHTTP() As %Boolean
{
    S %response.Timeout = 120 // Set timeout to 2 minutes
    Q 1
}

This ensures the CSP Gateway waits for a longer duration before reporting a timeout for the response. Ensure to reset this setting if not required for subsequent requests, as the default timeout incentivizes efficient server-side code [1].

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To optimize the performance of a production system using Pool Size > 1, consider the following suggestions:

1. Parallel Processing using Pool Size:
   Setting a pool size greater than 1 enables multiple concurrent jobs to process messages. This approach is useful if the ordering of messages does not matter. When pool size is increased, each additional pool job adds an OS-level process, which incurs memory and CPU usage based on the work being done. Start with small pool size increments (e.g., 2 or 4) and monitor the impact on queues and system performance before increasing further [1][2].

2. Message Ordering Concerns:
   If message order is important, asynchronous calls with larger pool sizes can lead to inconsistencies. To address this:

   • Use an intermediate process configured with Pool Size = 1 to ensure first-in-first-out (FIFO) processing [3].
   • Alternatively, apply a mechanism such as message routing rules by metadata (e.g., splitting queues by certain keys like patient IDs) to maintain order for related messages across threads [3].

3. Concurrent Updates (e.g., ProcessedCount):
   Concurrent processing can cause record updates to fail or become inconsistent. If synchronization issues arise:

   • Avoid direct SQL updates using %NOLOCK when multiple threads are involved. Locks are necessary to ensure the atomicity of operations but may reduce concurrency.
   • Implement robust mechanisms for updating shared counters, such as lock-based synchronization or queuing updates within dedicated threads to avoid SQL collisions [1][3].

4. Dynamic Pool Size Adjustments:
   Dynamically scaling the pool size based on production load can enhance performance further. This can be achieved through scripts or services that periodically review workload metrics (queue length, CPU, memory) to adjust pool sizes. However, excessive resizing can introduce overhead [4].

5. Asynchronous Call Improvements:
   Ensure asynchronous calls are properly implemented to maximize throughput while avoiding bottlenecks in subsequent stages (e.g., business processes or operations). Consider whether dependent components also require pooling adjustments [1].

6. Performance Monitoring:
   Regularly monitor the queues and system resources. Long or stuck queues can indicate performance issues, potentially highlighting when to scale pool size or address bottlenecks (e.g., external system delays) [5].

Try testing these ideas and adjusting settings incrementally for better insight into the optimal configuration for your workload requirements [1][2][3][5].

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The issue you are encountering arises because the HealthShare FHIR Gateway is designed to be primarily read-only for interacting with a FHIR client. This means operations such as creating a new resource (e.g., Patient) using an HTTP POST request are not supported. Instead, data in the FHIR Gateway is loaded from the HealthShare Information Exchange (HIE) and can only be queried after being scoped to a specific patient session.

If you require write capabilities, you would typically operate on a standard FHIR namespace (not FHIR Gateway) or look into a workflow that involves converting FHIR data into the internal SDA (Source Data Architecture) used by HealthShare. This requires implementing a custom solution for handling FHIR data through the Edge Gateway production [1].

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To have a Business Service (BS) that retrieves and saves an authorization token for use by a Business Operation (BO), here are the steps:

1. Create your BS to retrieve the token and store it securely, such as in a global or a data structure. For example:

   • Use ##class(%SYS.OAuth2.Authorization).GetAccessTokenClient to retrieve the token.
   • Save the retrieved token in a globally accessible location (e.g., a global or a persistent data structure).

2. In the BO, make use of the token when firing off requests. You can use the AddAccessToken method of %SYS.OAuth2.AccessToken to attach the token directly to HTTP requests made by the BO [1][2].

3. For implementation:

   • In the BS, schedule a process to fetch a new token periodically and refresh it if expired.
   • In the BO, retrieve the stored token from your chosen location and include it in outgoing HTTP requests.

Here’s a simple BO implementation snippet for using the stored token:

Method MakeRequest() As %Status {
    Set httpRequest = ##class(%Net.HttpRequest).%New()
    set token = <retrieve the stored token>
    $$$THROWONERROR(httpRequest.SetHeader("Authorization", "Bearer "_token))
    $$$THROWONERROR(httpRequest.Post(<Your API Endpoint>, .response))
    Quit $$$OK
}

Ensure that your logic for saving and retrieving the token handles expiration and regeneration correctly for continuity.

References: [1][2]

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To address the issue of failing to fetch the namespace list from the server in VS Code using the InterSystems Language Server extension, you can try the following steps:

1. Ensure you have correctly configured the server settings in your settings.json file, which should include the server name, namespace, and credentials. Below is a sample configuration for reference:

   {
      "objectscript.conn": {
          "server": "your_server_name",
          "ns": "USER",
          "active": true
      },
      "intersystems.servers": {
          "your_server_name": {
              "webServer": {
                  "scheme": "http", // or "https" depending on your server
                  "host": "your_host_address",
                  "port": your_port_number
              },
              "username": "your_username",
              "password": "your_password"
          }
      }
   }
   

   Replace your_server_name, your_host_address, your_port_number, your_username, and your_password with your actual connection details. Ensure that the namespace you are trying to connect to is available on the server and accessible with your credentials [1][2].

2. Verify that the namespace exists on the server. If the namespace you set in the configuration has been deleted or does not exist, VS Code may fail to fetch the list or connect. You can recreate the namespace temporarily on the server, which may help resolve the issue and allow you to switch namespaces via the UI [3].

3. Confirm that the web application api/atelier is correctly enabled on the server. If it is not properly configured, the connection might fail.

4. If the issue persists, try using the "Choose Server and Namespace" functionality in the ObjectScript Explorer view to manually select or update the namespace [4].

If none of these steps resolve the issue, seeking guidance in the InterSystems Developer Community might be necessary.

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The issue you're encountering with <INVALID OREF> suggests that the identifier.value or target.MRN is not a valid ObjectScript reference (OREF) during the operation. This happens if the identifier is not properly initialized as an object. To address this issue, verify that identifier contains a valid OREF before trying to access its property value. You can do this using $ISOBJECT.

Here’s an example adjustment to your code:

while mrnIter.%GetNext(,.identifier) {
  if $ISOBJECT(identifier) && (identifier.system = "urn:oid:1.2.840.114350.1.13.172.2.7.5.737384.100") {
    set target.MRN = identifier.value
  } else {
    $$$LOGINFO("Invalid OREF for identifier or system mismatch")
  }
}

This ensures the loop only processes identifier objects that are valid and avoids errors when working with null or invalid OREFs [1][2][3].

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To adjust a datetime by subtracting five hours or 18,000 seconds (5 hours * 60 minutes * 60 seconds) in an HL7 Data Transformation, you can use ObjectScript utilities designed for time manipulation.

1. Using ConvertDateTime function: InterSystems provides the ConvertDateTime() utility in Ens.Util.Time. Example:

   Set NewDate = ##class(Ens.Util.Time).ConvertDateTime("20201224161922", "%Y%m%d%H%M%S", "YYYYMMDDHHMISS")
   

   This function allows you to manipulate date formats and apply operations on datetime values [1].

2. Time zone library: There's also a specialized library for converting and handling time zones with both HL7 formatted times and adjustments. An example of subtracting a specific duration (5 hours in your case):

   Set datetime = "20201224161922"
   Set newDatetime = ##class(Ens.Util.Time).SubtractSeconds(datetime, 18000) ; Subtracting 18,000 seconds (5 hours)
   

   This will yield 20201224111922 [2].

These approaches can be used directly in your transformation logic for accurate date-time operations. If using time zones or further functionalities, refer to the utilities within InterSystems' interoperability tools or libraries [1][2].

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To make the Ens.ScheduleHandler alert on error, you need to configure your Ensemble production appropriately. Ens.ScheduleHandler interacts with Ens.Alarm and other components to manage scheduled start and stop times for production items.

To enable alerts, you might employ the Ens.Alert or similar mechanisms already available in InterSystems IRIS/Ensemble systems. You could configure the components linked to Ens.ScheduleHandler and trigger alerts based on specific error scenarios.

Messages between Ens.ScheduleHandler and Ens.Alarm ensure that components are started/stopped according to schedules. Errors or disruptions during this process could be monitored and alerts set up by designing rules in your systems for such sessions. This process uses the ensemble messaging system, which may require setting the proper parameters to retain scheduling-related messages and avoid purging them preemptively [1].

If you intend to integrate more robust error handling, consider subclassing relevant components and adding mechanisms to send alerts upon encountering specific exceptions, which might require adjustment to adapter settings or creating custom notification rules [2][1].

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