To prevent VS Code from attempting to automatically log in to all workspace folders when using the InterSystems ObjectScript extension, you can adjust the configuration settings. The InterSystems Server Manager extension facilitates managing server connections, including signing in and storing credentials securely.

1. Disable Automatic Syncing of Local Changes:

   • Update the objectscript.syncLocalChanges setting in your workspace or user settings. Set it to "none" to prevent automatic synchronization of changes to the server.
   • This ensures no unintended login attempts are made to synchronize files automatically 12.

2. Control Login Behavior for Specific Workspaces:

   • Define individual workspace configurations in .code-workspace files. Use these to specify only individual folders that require server access. For example:

     {
       "folders": [
         {
           "name": "SpecificServerNamespace",
           "uri": "isfs://server:namespace/"
         }
       ],
       "settings": {}
     }
     

   • This setup prevents global login attempts unless the specific workspace is explicitly opened 34.

3. Work with Temporary Credentials:

   • When prompted for a password during server sign-in, select "use for this session only" instead of saving credentials. This limits the scope of logged-in servers to the current session only and avoids retained credentials being used for unintended logins 56.

4. Sign-out and Manage Trusted Extensions:

   • Regularly manage signed-in accounts from the VS Code Accounts menu. You can sign out of any account to ensure the credentials are not auto-retrieved on subsequent VS Code launches. Additionally, restrict or manage extension access to InterSystems Server Credentials 5.

Using these approaches, you should be able to control when and how InterSystems connections are established when working with multiple workspaces in VS Code.

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To debug encoding character issues:

1. Ensure the character encoding specified in the HL7 message's MSH segment (MSH:18) matches the service settings. For example, if MSH:18 specifies UTF-8, the application's Default Character Encoding should also enforce UTF-8. Use the ! prefix with the encoding name (e.g., !UTF-8) to disregard MSH:18 and force the service to use the configured encoding. Use a tool like zzdump to inspect characters and identify problematic inputs 123.

2. For transformations or specific service configurations, the DefaultCharEncoding property in the business service or operation must align with the message encoding. Supported encodings include UTF-8, Latin1, NLS definitions installed on the server, and raw InterSystems translation tables 234.

3. Issues often arise due to mismatched or unsupported encodings. Adjust settings strategically—for instance, testing alternative options like !latin1, !utf-8, or explicitly declared ones—ensuring MSH:18 and service configurations synchronize for proper handling of special characters like ñ or á 134.

Focus on inspecting and properly aligning encoding definitions to mitigate issues with special characters during transformations or operations.

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To address your concerns:

1. Receiving**ETX**when expecting**ENQ**:
   • The issue of receiving <ETX> instead of <ENQ> (expected for ASTM communication initialization) may stem from the configuration of the ASTM business service or the behavior of the Moxa device. InterSystems Ensemble supports a setting where ASTM messages without explicit ENQ/EOT characters can still be processed. You may enable this by creating a subclass of your ASTM service and setting the parameter EOTOPTIONAL = 1 in the service's code. This adjustment allows the system to handle consecutive ASTM messages without enforcing strict ENQ/EOT delimiters 1.
2. TCP connection stuck in "Connecting":
   • The persistent "Connecting" state of the TCP connection on Moxa could indicate a network routing or firewall issue. Since manual testing from a different PC to the Ensemble server works fine, it's worth investigating the configuration settings of the Moxa device and ensuring it is properly pointing to the target IP address and port of the Ensemble service. Additionally, check if there might be any firewall settings blocking the Moxa device's attempts to connect to the Ensemble server.
3. Settings in**EnsLib.ASTM.Service.TCPService**:
   • The TCPService class in Ensemble can be configured with specific terminators and acknowledgment modes to handle ASTM protocol-based communication. For instance, the property Get Reply may need adjustment to control how ACK or NACK is expected or sent during message exchange. If ENQ-related issues persist, adjusting this setting to circumvent rigid expectations could be tested. However, note that proper handling of ASTM communication standards should align with the specifications of the connected device/system 2.

Sources:

1. Configuring the Production for ASTM

2. Ensemble is not giving back ACK after ENQ and closes with EOT.

%Stream.GlobalCharacter properties in InterSystems IRIS are projected as LONGVARCHAR (-1) for JDBC. This complies with the default mapping, and the JDBC specification applies the maximum length limit for LONGVARCHAR, which may not suit arbitrary stream data requirements.

To utilize CLOBs adequately, the JDBC standard interfaces provide BLOB and CLOB handling. For instance, you can retrieve and set CLOB data within a Java program utilizing the java.sql.Clob interface:

Statement st = conn.createStatement();
ResultSet rs = st.executeQuery("SELECT MyCLOBColumn FROM MyTable");
rs.next(); // Access the Clob data
java.sql.Clob clob = rs.getClob(1);
// Example to print length
System.out.println("Clob length = " + clob.length());
// Perform further operations
clob.free(); // Close explicitly

This demonstrates the correct interaction between Java and CLOB stream data types in IRIS. Ensure that your implementation explicitly opens and manages stream field attributes to prevent constraints like JDBC defaults on LONGVARCHAR types from becoming limiting. [1]

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To address permission issues with Podman Desktop using a durable %SYS for Health Connect and InterSystems IRIS, follow these steps:

1. Ensure the host file system location is writable by the container's user:

   • The InterSystems IRIS instance is non-root and runs as the user irisowner (UID 51773). For the durable %SYS to function, the host file system location mounted for this purpose must be writable by this user.
   • Run the following command before starting the container:

     podman unshare chown 51773:51773 $INSTANCEDIR
     

     Replace $INSTANCEDIR with the location on the host where the durable %SYS directory is intended to exist.

2. Handle SELinux (if applicable):

   • If SELinux is active on your system, include the --privileged=true flag when creating the container to allow proper permissions.

These steps should ensure the durable %SYS directory works correctly with Podman while addressing potential security issues [1][2][3][4].

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To configure the system to send an ACK in response to every ENQ when using the ASTM protocol with a TCP service and inbound adapter, the "Get Reply" setting is relevant. By default, the "Get Reply" option is set to true, enabling the system to expect an ACK reply from the external ASTM system. However, if the external system does not provide an ACK reply or when continuous acknowledgment is required, this option can be cleared. Clearing "Get Reply" allows the ASTM TCP business service to not depend on receiving the external ACK reply [1].

Additionally, the "Response Timeout" setting specifies how long the service will wait for a reply before considering a response incomplete. Adjusting this setting may help in avoiding premature disconnection due to timeout, which could influence acknowledgment handling in the communication process. Setting the timeout to -1 ensures the service waits indefinitely for a response [2].

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QUIT and RETURN are both commands used to terminate execution in ObjectScript code. However, they behave differently depending on their context:

1. QUIT Command:

   • It exits only the current structure and continues execution outside of it. For example, when used within a FOR or WHILE loop, QUIT will exit the loop and continue with the code after the block.
   • When issued outside of a structure or within an IF, ELSEIF, or ELSE block, QUIT exits the current routine and returns to the caller with or without arguments. With an argument, it provides a return value [1].

2. RETURN Command:

   • It directly exits the entire routine or method, regardless of whether it's within a loop or a block structure, and returns control to the calling context or ends the program.
   • RETURN is particularly useful for readability when you intend to terminate execution and return a value from methods or nested structures [1][2].

In your example:

• The syntax is valid because ObjectScript allows both commands in these scenarios.
• The compiler does not return an error for the QUIT usage as it exits the routine correctly.
• To align with your intention of explicitly returning a method result, the RETURN command would be clearer and preferable over QUIT [1][2].
  

  Sources:

  1.Introduction to ObjectScript Commands
  2.CachéQuality for VSCode now available

Production items in InterSystems IRIS display statuses using color-coded indicators. These colors and icons represent the status of business services, connections, and operations:

Status Indicators for Business Services and Operations

• Green Dot (•): Active and OK.
• Yellow Hyphen (-): Currently inactive but otherwise OK.
• Red Exclamation Mark (!): Error.
• Gray X (X): Disabled.
• Gray Dot (•): Retry (only for operations where the connection failed and retry is happening) [1][2].

Status Indicators for Connections

• Green Plus Sign (+): Connected.
• Yellow Letter (o): Listening.
• Red Letter (x): Disconnected.
• Gray Hyphen (-): Not applicable, disabled, unscheduled, or not connecting [1][2].

To access these statuses programmatically, the statuses are maintained by the Monitor Service, which implicitly monitors production activities and provides continuous status data. Using the Management Portal, you can see these statuses and their detailed descriptions under the "Interoperability > Monitor > Production Monitor" page. This data can also be extended and monitored in systems like Grafana via a custom REST API that queries these statuses [1][2].

For detailed exposure or display in your dashboards, consider querying APIs that extract connections, queues, logs, and their statuses along with monitoring frequency. Ensure safe access by implementing secure APIs or utilizing the tools available via InterSystems IRIS [1][2].

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When dealing with FHIR resource creation, it is possible for a server to generate its own IDs and override predefined IDs if it is configured to do so. While some FHIR servers may allow you to submit resources with predefined IDs using PUT requests, others may enforce their own automatic ID assignment.

To work around this, certain configurations on a FHIR server can allow customization of resource ID handling. For example, you can:

1. Customize the server to use a random UUID for a resource's ID during creation. However, if a client submits a resource with a specific ID using the PUT method, the predefined ID can be retained. This behavior can be achieved by overriding the Add method in a server's interaction class. In such a method, a random ID is generally assigned for POST requests, unless the predefined ID is provided via PUT:

   Method Add(pResourceObj As %DynamicObject, pResourceIdToAssign As %String = "",
              pHttpMethod = "POST") As %String
   {
       if pHttpMethod '= "PUT" {
           set pResourceIdToAssign = $zconvert($system.Util.CreateGUID(), "L")
       }
       return ##super(pResourceObj, pResourceIdToAssign, pHttpMethod)
   }
   

   This mechanism ensures that server policy adheres to either automatically assigning IDs or preserving custom IDs submitted by clients depending on the HTTP method used [1][2].

Bear in mind that you do not control external FHIR servers, and their behavior might vary based on configuration or policy. Therefore, if you're populating third-party FHIR servers, you should verify server policies regarding resource ID creation.

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To handle XML containing CDATA using %XML.Reader or similar tools, you can follow these solutions:

1. If the CDATA section contains XML or complex data, you can treat it as a raw string and then process it further once extracted. To do this:

   • Correlate the parent element containing the CDATA and retrieve it as a string.
   • Use additional XML parsing tools to process the data within the CDATA separately. For instance:

     CLASS MyClass Extends %RegisteredObject
       Property RawXML As %String;  // for CDATA content
     
       Method ProcessCDATA() As %Status {
         // parsing code for RawXML
       }
     

2. Modify your XML-enabled classes to use the CONTENT = "MIXED" property if the structure allows. This enables the content of the CDATA to be read as raw XML. Note, however, that CONTENT = "MIXED" cannot generally be applied when the property is referencing another class [1].

3. If you have cases where specific outputs are expected from the CDATA, you can:

   • Create a custom datatype that processes the XML content of the CDATA after correlation. The datatype would have methods to parse the CDATA into an XML structure directly [2].

These approaches work when handling variations in the data contained within CDATA blocks. Where structured object generation would be useful, specific parsing tailored to the content type would follow afterward.

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Sorry. Your query cannot be processed.

In InterSystems IRIS, the construction and manipulation of dynamic objects like JSON objects can be achieved in various ways using the %DynamicObject class.

Issue with Direct JSON Syntax Incorporating Variables

When attempting return {"value1":val1, "value2":val2}, you are utilizing JSON literal syntax directly with variables. This won't work because ObjectScript does not dynamically interpret variables within such JSON literals. Instead, it requires an explicit declaration or assignment for each field.

Correct Dynamic Object Construction

For initializing dynamic objects with variables, you need to use step-by-step assignment. Below is an example:

ClassMethod Planets() As %DynamicObject
{
    Set val1 = "Jupiter"
    Set val2 = "Mars"
    Set result = {}
    Set result.value1 = val1
    Set result.value2 = val2
    Return result
}

This approach builds the dynamic object incrementally and ensures compatibility.

Alternative Using %DynamicObject Methods

The %DynamicObject class provides built-in methods like Set to explicitly set fields in the object. This method allows specifying both the key and value dynamically:

Set json = {}
Do json.%Set("value1", val1)
Do json.%Set("value2", val2)
Return json

Both approaches work because the dynamic object understands individual assignments and ensures proper serialization to JSON format. This clarifies that within ObjectScript, variables must be individually assigned to object properties rather than being interpreted directly in literal JSON syntax [1].

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To handle the JSON response and extract specific values into a Data Class structure and display them in the Trace Viewer, consider the following:

1. Populating JSON into a Defined Class Structure: You need to map the JSON response to an object-based structure by using %JSON.Adaptor in classes. To do so, make sure all fields in your JSON are represented in the class structure. Create proper mapping with class schema that extends %JSON.Adaptor.

2. Transforming Data Using DTL:

   • Build your Data Transformation Logic (DTL) by associating the source JSON structure to the target structure.
   • The JSON schema can be imported into targeted classes using tools like JSON2Persistent, or you can manually define the structure.

   Example of integrating DTL transformation:

   set reader=##class(%XML.Reader).%New()
   set status=reader.OpenString(rsXML)
   do reader.Correlate("ReportMsg","package.source.ReportMsg")
   do reader.Next(.sourceObject,.status)
   
   set targetClassObject=##class(package.target.ReportMsg).%New()
   set result=##class(DTL.transformation).Transform(sourceObject,.targetClassObject)
   

3. Use Trace in DTL: To make the extracted data visible in Trace Viewer, you can use the <trace> element within your DTL transformation. Example:

   <trace value='"Extracted ID: " & sourceObject.id' />
   <trace value='"Extracted Name: " & sourceObject.name' />
   

   This will print the values of id or name into Trace Viewer during execution [1][2][3].

4. Dynamic Object Parsing using ObjectScript: If you want to parse certain JSON fields dynamically:

   set jsonObj = {}.%FromJSON(yourJsonData)
   write jsonObj.data.entities.%Get(0).id  ; This extracts the first entity's `id`
   write jsonObj.data.entities.%Get(0).overallRating.name  ; Extract `overallRating.name`
   

By defining a proper structure, mapping it correctly, and using the trace tag in DTL transformations, you can ensure both visibility in Trace Viewer and efficient data handling.

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To split a stream containing multiple HL7 messages into individual HL7 messages, you can follow these summarized steps that are extracted from different documented approaches:

1. Identify Starting Points of HL7 Messages: Use the MSH| segment as a delimiter to identify individual HL7 messages. This can be accomplished by scanning the stream for each occurrence of MSH| and ensuring each message starts from there.

2. Stream Handling:

   • First, read the entire input stream containing the series of HL7 messages.
   • Loop through the content, splitting it at every occurrence of the MSH| delimiter.
   • For this, you might store each message as an individual string or an EnsLib.HL7.Message object in a collection (such as a list or array) for further processing.

3. Create HL7 Messages:

   • After extracting segments based on delimiters, instantiate new HL7 message objects using the raw content you have extracted.
   • Set the properties and ensure the framing is correct for each message object.

4. Use Business Processes or ObjectScript Logic:

   • You can write ObjectScript logic to loop through the stream, parse out each HL7 message, and process or route it. Ensure that the formatting remains compliant with HL7 standards before routing.

5. Save or Forward Messages:

   • Process these individual messages as required within the production (e.g., store in EnsLib.Message or forward them to other components in your InterSystems setup).

For implementing the splitting process more programmatically, you can use InterSystems ObjectScript or related tools such as DTLs for message transformation or splitting logic.

Consider efficiently using InterSystems features for handling streams and HL7 messages, and ensure to test with various configurations to verify the messages stay HL7-compliant after splitting [1][2][3].

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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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Sorry. Your query cannot be processed.

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].
   

   Sources:

   1.Does %XML.Security.Signature require a pre-existing <Signature> element when signing an XML document
   2.Signing XML Documents

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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