vania-janet/multiturn-rag-retrieval-data huggingface dataset:
Setting up a client VPN environment and connecting to a VPN server 

After you create the VPN server using the newly created certificate, you can set up and configure your clients' VPN environment to connect to the VPN server. Depending on the client authentication you selected during VPN server provisioning, users can connect to the VPN server using a client certificate, a user ID with passcode, or both.



1. Open the details page of the VPN server and click the Clients tab. Then, click Download client profile to download the client configuration file (<vpn_server>.ovpn).
2. Distribute the client profile file to the VPN client users and instruct users to do the following:

A step-by-step tutorial for VPN client users client is provided in [Setting up a VPN client](https://cloud.ibm.com/docs/vpc?topic=vpc-setting-up-vpn-client).



* Download and install an OpenVPN client. For a list of supported OpenVPN clients, see [Supported VPN client software](https://cloud.ibm.com/docs/vpc?topic=vpc-client-to-site-vpn-planningvpn-client-software).
* If using user ID-based authentication, ask users to get an IAM passcode. For instructions, see [Configuring user IDs and passcodes](https://cloud.ibm.com/docs/vpc?topic=vpc-client-to-site-authenticationclient-to-site-configuration-passcode).
* If using certificate-based authentication, generate and distribute the client certificate to the VPN client users safely. Also, VPN client users must edit the client profile to add the client certificate into the file.

There are two approaches to adding the client certificate to the end of the client profile.



* Option 1

cert /path/client_public_key.crt
key /path/client_private_key.key
* Option 2

<cert>
-----BEGIN CERTIFICATE-----
* @param arg2 second set of tuples to merge
* @return the two sets of tuples, interleaved
/
public TupleList eval (TupleList arg1, TupleList arg2)
{

TupleSchema retSchema = getReturnTupleSchema ();
TupleList ret = new TupleList (retSchema);

// We skip any records that go off the end
int numRecs = Math.min (arg1.size (), arg2.size ());

for (int i = 0; i < numRecs; i++) {
Tuple retTuple = retSchema.createTup ();

Tuple inTup1 = arg1.getElemAtIndex (i);
Tuple inTup2 = arg2.getElemAtIndex (i);

arg1Copier.copyVals (inTup1, retTuple);
arg2Copier.copyVals (inTup2, retTuple);

// System.err.printf ("%s + %s = %sn", inTup1, inTup2, retTuple);

ret.add (retTuple);
}

return ret;
}

/
* Initialize the internal state of the table function. In this case, we create accessors to copy fields from input
* tuples to output tuples.
* @see com.ibm.avatar.api.udf.TableUDFBaseinitState() for detailed description
/
@Override
public void initState () throws TableUDFException
{
// Create accessors to do the work of copying fields from input tuples to output tuples
AbstractTupleSchema arg1Schema = getRuntimeArgSchema ().getFieldTypeByIx (0).getRecordSchema ();
4. Disable PFS in the Phase 2 proposal.
5. Set lifetime = 10800 in the Phase 2 proposal.
6. Input your peers and subnets information in the Phase 2 proposal.



The following commands use the following variables where:



* {{ peer_address }} is the VPN gateway public IP address.
* {{ ibm_vpc_cidr }} is IBM VPC subnet.
* {{ vyatta_address }} is the Vyatta public IP address.
* {{ vyatta_cidr }} is the Vyatta subnet.





 Before you begin 

To set up your remote Vyatta peer, make sure that you create the following prerequisites.



* A VPC
* A subnet in the VPC
* A VPN gateway in the VPC without connections

After the VPN gateway gets provisioned, note its public IP address.
* The Vyatta public IP address
* The Vyatta subnet that you want to connect using a VPN







 Configuring the Vyatta 

There are two ways that you can run the configuration on your Vyatta:



1. Log in to the Vyatta and run the file create_vpn.vcli using the commands that follow.
2. Run the following commands in the Vyatta console.



Remember to:



* Choose IKEv2 in authentication.
* Enable DH-group 19.
* Set lifetime = 36000.
* Disable PFS.
* Set lifetime = 10800.



The following commands use the following variables, where:



* {{ peer_address }} is the VPN gateway public IP address.
* {{ ibm_vpc_cidr }} is the IBM VPC subnet.
* {{ vyatta_address }} is the Vyatta public IP address.
* {{ vyatta_cidr }} is the Vyatta subnet.



vim vyatta_temp/create_vpn.vcli
!/bin/vcli -f
configure
The SQL Server Restore dialog shows the most recent safe set for the job.
7. To restore data from an older safe set, or from SSI (safe set image) files, take one of the following steps.



* To restore data from an older safe set, click the calendar. In the calendar that appears, click the date of the safe set from which you want to restore. To the right of the calendar, click the specific safe set that you want to use.
* To restore data from SSI (safe set image) files on disk, select Directory on disk from the Source Device list. Click the folder. In the Select Folder dialog, select the directory where the files are located, and click Okay.



SSI files are full backups that were exported from the vault or backed up from a computer to disk instead of to a vault. It can be quicker to save backup files on physical media and transport them to a location for a restore than to restore data from a vault in a remote data center. Note: You cannot restore from backups to disk (SSI files) until the safe set is imported into the vault and the IBM Cloud Backup for Classic Agent is synchronized with the vault.
8. In the Database Selection, select the checkbox for each database that you want to restore.
9. In the Encryption Password field, enter the data encryption password. To view the password hint, click Hint.
10. Under Restore Destination, enter a path for the destination, or click the folder. In the Select Folder dialog box, select the location where you want to restore, and click Okay.
11. To change the log detail level, bandwidth throttling setting, or hard recovery option, click Advanced Restore Options. In the dialog box, you can select the options:



* In the Log Level Detail list, select the level of detail for job logging.
* Select or clear the Use all available bandwidth option.



12. Click Run Restore. The Process Details dialog shows the restore progress and indicates when the restore is completed. Other recent job processes might also be listed in the dialog. To close the Process Details screen, click Close. Closing the window does not affect the restore process.
props.setProperty("user", username);
props.setProperty("password", password);
props.setProperty("useSSL", Boolean.toString(useSSL));
props.setProperty("sslMode", (useSSL ? "REQUIRED" : "DISABLED"));
props.setProperty("requireSSL", Boolean.toString(useSSL));
props.setProperty("verifyServerCertificate", Boolean.toString(useSSL));

Class.forName("com.mysql.cj.jdbc.Driver");
connect = DriverManager.getConnection("jdbc:" + url, props);
return true;
} catch (SQLException ex) {
System.out.println("SQLException: " + ex.getMessage());
System.out.println("SQLState: " + ex.getSQLState());
System.out.println("VendorError: " + ex.getErrorCode());
} catch (ClassNotFoundException ex) {
System.out.println("Connector class can not be found: " + ex.getMessage());
}
return false;
}
}

Show more

The following example uses the information from your connection string and the Python driver [pymysql](https://pypi.org/project/PyMySQL/documentation) to connect to your database. This is just a simple connection example, without error handling or retry logic and might not be suitable for production.

import pymysql
connection = pymysql.connect(
host="hostname",
port=32089,
user="username",
passwd="password",
ssl_ca="/home/user/mysql_ca.crt",
Step 1. Set up the LogDNA Provider plug-in 

Complete the following steps to set up the LogDNA Provider plug-in for Terraform so that you can start managing resources:



1. Create a versions.tf file and specify the LogDNA Provider plug-in version that you want to use with the version parameter.

terraform {
required_providers {
logdna = {
source = "logdna/logdna"
version = "1.10.5"
}
}
}

To see the latest LogDNA provider version, see [LogDNA provider versions](https://registry.terraform.io/providers/logdna/logdna/latest).
2. Store the versions.tf file in your Git repository or the folder where Terraform is set up.







 Step 2. Configure the LogDNA Provider plug-in 

Before you can start working with Terraform, you must retrieve the credentials and parameters that are required for a Terraform resource or data source, and specify them in the provider configuration. This configuration is used by the LogDNA Provider plug-in to authenticate with the service that runs in the IBM Cloud platform and to view, create, update, or delete resources.

The following table lists input parameters that you can set in the provider block of your Terraform on your Terraform configuration file:



Table 1. List of input parameters that you can set in the provider block of your Terraform

 Input parameter Required / optional Description 

 servicekey Required API key that you must use to validate your credentials with the logging instance. 
 url Required API endpoint. For more information, see [API Endpoints](https://cloud.ibm.com/docs/log-analysis?topic=log-analysis-endpointsendpoints_api). 



For more information on how to use environment variables, see [Using environment variables](https://cloud.ibm.com/docs/ibm-cloud-provider-for-terraform?topic=ibm-cloud-provider-for-terraform-provider-referenceenv-vars).
postAllDocsOptions := service.NewPostAllDocsOptions(
"orders",
)
postAllDocsOptions.SetLimit(pageSize + 1)

allDocsResult, _, err := service.PostAllDocs(postAllDocsOptions)
if err = nil {
panic(err)
}

for len(viewResult.Rows) > 1 {
documents := allDocsResult.Rows
// on the last page, show all documents:
if int64(len(documents)) <= pageSize {
b, err := json.MarshalIndent(documents, "", " ")
if err = nil {
panic(err)
}
fmt.Printf(string(b))
} else { // otherwise, hide the last document:
b, err := json.MarshalIndent(documents0:pageSize]!, "", " ")
if err = nil {
panic(err)
}
fmt.Printf(string(b))
}
// The startKey of the next request becomes the hidden document id:
postAllDocsOptions.SetStartKey(documentslen(documents)-1]! .ID)
allDocsResult, _, err = service.PostAllDocs(postAllDocsOptions)
if err = nil {
panic(err)
}
}
See the following example of a first response: {
"total_rows": 11,
"offset": 0,
"rows":
{ "id": "4eee973603bf77f30b1f880ed83df76a" ....},
{ "id": "4eee973603bf77f30b1f880ed83f469a" ....},
Step 1. Set up the LogDNA Provider plug-in 

Complete the following steps to set up the LogDNA Provider plug-in for Terraform so that you can start managing resources:



1. Create a versions.tf file and specify the LogDNA Provider plug-in version that you want to use with the version parameter.

terraform {
required_providers {
logdna = {
source = "logdna/logdna"
version = "1.10.5"
}
}
}

To see the latest LogDNA provider version, see [LogDNA provider versions](https://registry.terraform.io/providers/logdna/logdna/latest).
2. Store the versions.tf file in your Git repository or the folder where Terraform is set up.







 Step 2. Configure the LogDNA Provider plug-in 

Before you can start working with Terraform, you must retrieve the credentials and parameters that are required for a Terraform resource or data source, and specify them in the provider configuration. This configuration is used by the LogDNA Provider plug-in to authenticate with the service that runs in the IBM Cloud platform and to view, create, update, or delete resources.

The following table lists input parameters that you can set in the provider block of your Terraform on your Terraform configuration file:



Table 1. List of input parameters that you can set in the provider block of your Terraform

 Input parameter Required / optional Description 

 servicekey Required API key that you must use to validate your credentials with the auditing instance. 
 url Required API endpoint. For more information, see [API Endpoints](https://cloud.ibm.com/docs/log-analysis?topic=log-analysis-endpointsendpoints_api). 



For more information on how to use environment variables, see [Using environment variables](https://cloud.ibm.com/docs/ibm-cloud-provider-for-terraform?topic=ibm-cloud-provider-for-terraform-provider-referenceenv-vars).
oc describe statefulset <statefulset_name>

To see the current status of your PVCs, run oc get pvc. The name of your PVC is formatted as <volume_name>-<statefulset_name>-<replica_number>.







 Static provisioning by using existing PVCs with a stateful set 

You can pre-provision your PVCs before creating your stateful set or use existing PVCs with your stateful set.

When you [dynamically provision your PVCs when creating the stateful set](https://cloud.ibm.com/docs/openshift?topic=openshift-block_storageblock_dynamic_statefulset), the name of the PVC is assigned based on the values that you used in the stateful set YAML file. In order for the stateful set to use existing PVCs, the name of your PVCs must match the name that would automatically be created when using dynamic provisioning.

Before you begin: [Access your Red Hat OpenShift cluster](https://cloud.ibm.com/docs/openshift?topic=openshift-access_cluster).



1. If you want to pre-provision the PVC for your stateful set before you create the stateful set, follow steps 1-3 in [Adding block storage to apps](https://cloud.ibm.com/docs/openshift?topic=openshift-block_storageadd_block) to create a PVC for each stateful set replica. Make sure that you create your PVC with a name that follows the following format: <volume_name>-<statefulset_name>-<replica_number>.

volume_name
: Use the name that you want to specify in the spec.volumeClaimTemplates.metadata.name section of your stateful set, such as nginxvol.

statefulset_name
: Use the name that you want to specify in the metadata.name section of your stateful set, such as nginx_statefulset.

replica_number
: Enter the number of your replica, starting with 0.
xskipper.setConf(conf)
xskipper
.indexBuilder()
// Add an encrypted MinMax index for temp
.addMinMaxIndex("temp", "k2")
// Add a plaintext ValueList index for city
.addValueListIndex("city")
.build(reader).show(false)


Show more
* For Python

xskipper = Xskipper(spark, dataset_path)
 Add JVM Wide configuration
jvmConf = dict([
("io.xskipper.parquet.mdlocation", md_base_location),
("io.xskipper.parquet.mdlocation.type", "EXPLICIT_BASE_PATH_LOCATION")])
Xskipper.setConf(spark, jvmConf)
 configure footer key
conf = dict([("io.xskipper.parquet.encryption.footer.key", "k1"),
("io.xskipper.parquet.encryption.plaintext.footer", "true")])
xskipper.setConf(conf)
 adding the indexes
xskipper.indexBuilder() 
.addMinMaxIndex("temp", "k1") 
.addValueListIndex("city") 
.build(reader) 
.show(10, False)
Show more







 Support for older metadata 

Xskipper supports older metadata created by the MetaIndexManager seamlessly. Older metadata can be used for skipping as updates to the Xskipper metadata are carried out automatically by the next refresh operation.

If you see DEPRECATED_SUPPORTED in front of an index when listing indexes or running a describeIndex operation, the metadata version is deprecated but is still supported and skipping will work. The next refresh operation will update the metadata automatically.
In the Configuration section, set the following fields:



* Name: Name that you want to use for the pool
* Health Monitor: Select an appropriate protocol to monitor the health of your members



4. In the Resources section, set the following fields:



* Load Balancing Method: Select an appropriate method that you would like to use for balancing traffic
* New Members: For each IP or FQDN, input the members of your backend server









 Create policies 

If you have multiple backend pools to which you need to route traffic, you must create a policy to route traffic to the proper backend pool. For more information, see [Introducing Local Traffic Policies](https://techdocs.f5.com/kb/en-us/products/big-ip_ltm/manuals/product/local-traffic-policies-getting-started-12-1-0/1.html).



1. Go to Local Traffic > Policies > Policy List.
2. Click Create.
3. Set the following under General Properties:



* Policy Name: Name that you want to use for the policy
* Strategy: Set the strategy that you would like to use for rule matching
* Type: Traffic Policy



4. Click Create.
5. Under Rules, click Create.
6. Under Name, enter the name that you want to specify for this rule.
7. Click the + symbol and enter the conditions that must be matched.
8. Click the + symbol and enter what should be done when the condition is met. If you want to forward to a backend pool, select Forward Traffic.
9. If you need to create multiple rules, click Create again and repeat the previous steps.
10. After all rules are created, click Save Draft.
11. Under Local Traffic > Policies > Policy List, select your policy and click Publish.







 Create the virtual server 



1. In the console, go to Local Traffic > Virtual Servers > Virtual Server List.
2. Click Create
3. In the General Properties section, select or input the following fields:
To confirm that platform logs are set for your region, check the [Observability dashboard](https://cloud.ibm.com/observe/logging).
4. (optional) Refine the [filter for your search](https://cloud.ibm.com/docs/codeengine?topic=codeengine-view-logsview-logs-filters), if needed.
5. Test your application. Click Test application and then click Send request in the Test application pane. To open the application in a web page, click Application URL. You can view platform logs from the test of your application in the platform logs window.



Your Log Analysis instance is now configured such that it can receive platform logging for your Code Engine app.

Alternatively, you can configure a Log Analysis instance by using the [Observability dashboard](https://cloud.ibm.com/observe/logging) to create the instance, and then by [configuring platform logs](https://cloud.ibm.com/docs/log-analysis?topic=log-analysis-config_svc_logsconfig_svc_logs_ui). After you create your instance, click Configure platform logs. Select the Log Analysis instance to receive the platform log data by specifying a region and your log instance. You can also apply [filters for your search](https://cloud.ibm.com/docs/codeengine?topic=codeengine-view-logsview-logs-filters) in Log Analysis for your Code Engine log data.





 Viewing job logs from the console 



1. Navigate to a job that you created and deployed. From the [Projects page on the Code Engine console](https://cloud.ibm.com/codeengine/projects), select your project and then select Jobs. Select the job that you want to work with.
2. From your Code Engine job page, you can add logging capabilities. If you do not have an existing Log Analysis instance, from the Actions menu, click Add logging.
Setting up Amazon Web Services Location 

Follow these steps to set up IBM Cloud™ Databases (ICD) enabled by IBM Cloud Satellite in an on-premises location.



 Step 1: Prepare a Satellite location for IBM Cloud™ Databases 

Prepare your Satellite location before deploying the ICD enabled by IBM Cloud Satellite service.



 Attach extra hosts to the Satellite location 

These additional-attached worker nodes are used to create a service cluster into which the database instances will later be deployed. Attach to your Satellite location:



* Three type 8x32 hosts for IBM Cloud™ Databases (ICD) enabled by IBM Cloud Satellite internal use. Nodes are auto-assigned to a service cluster.



* On AWS, choose three hosts of type AWS m5d.2xlarge



* Three type 32x128 hosts for your use.



* On AWS choose three hosts of type AWS m5d.8xlarge





You should also attach an additional three 32x128 hosts to be kept in reserve. While optional, this step is recommended and you will see a notification in the UI until the reserve workers are attached.

To be assigned to a service cluster, your worker nodes must match these specifications exactly.





 Create a Satellite block storage configuration 

To set up your Satellite location using AWS, configure your block storage with [Amazon Elastic Block Storage (EBS)](https://cloud.ibm.com/docs/satellite?topic=satellite-config-storage-ebs).



* To create a block storage configuration for your Satellite location, refer to [Creating an AWS EBS storage configuration](https://cloud.ibm.com/docs/satellite?topic=satellite-config-storage-ebs).
* An EBS storage configuration code example
"id": "dc201ab2-8536-4904-86a8-084d84582133"
},
"zone": {
"name": "us-south-1"
}
}'
Show more

You can't use the API to change the metadata-service setting after the instance template is created. If you disabled it for a template, create a new instance template with the metadata-service enabled set to true.









 Configure metadata settings by using the UI 

You can configure features of the metadata service by using the UI. When the metadata service is enabled, expand the metadata window to access the metadata service settings.



 Select a trusted profile by using the UI 

You can select an existing trusted profile for the instance metadata service.

Select a trusted profile when you provision an instance To select a trusted profile, navigate to the Default trusted profile option and select a trusted profile from a list of preexisting trusted profiles.

For more information, see [Create a trusted profile for the instance](https://cloud.ibm.com/docs/vpc?topic=vpc-imd-configure-service&interface=uiimd-trusted-profile-config).





 Toggle auto link by using the UI 

You can toggle auto link for the instance metadata service. When autolink is enabled, the specified trusted profile is automatically linked to the virtual server instance when the instance is provisioned. On instances provisioned with auto link, the trusted profile is available to the instance immediatley at startup. When auto link is disabeld, the specified trusted profile must be linked to the instance for it to be used by the instace.

Toggle auto link when you provision an instance To toggle auto link when you provision an instance, navigate to the Secure access setting in the Metadata window on the instance provision page. Toggle the secure access switch so that it displays Enabled.





 Enable secure access by using the UI 

You can enable secure access to the instance metadata service. When secure access is enabled, the metadata service is accessible only to the virtual server instance by encrypted HTTP secure protocol (HTTPS).
: Enter the number of your replica starting with 0.

For example, if you must create 3 stateful set replicas, create 3 PVCs with the following names: nginxvol-nginx_statefulset-0, nginxvol-nginx_statefulset-1, and nginxvol-nginx_statefulset-2.

Looking to create a PVC and PV for an existing File Storage for Classic instance? Create your PVC and PV by using [static provisioning](https://cloud.ibm.com/docs/openshift?topic=openshift-file_storageexisting_file).
2. Follow the steps in [Dynamic provisioning: Creating the PVC when you create a stateful set](https://cloud.ibm.com/docs/openshift?topic=openshift-file_storagefile_dynamic_statefulset) to create your stateful set. The name of your PVC follows the format <volume_name>-<statefulset_name>-<replica_number>. Make sure to use the following values from your PVC name in the stateful set specification.

spec.volumeClaimTemplates.metadata.name
: Enter the <volume_name> of your PVC name.

metadata.name
: Enter the <statefulset_name> of your PVC name.

spec.replicas
: Enter the number of replicas that you want to create for your stateful set. The number of replicas must equal the number of PVCs that you created earlier.

If your PVCs are in different zones, don't include a region or zone label in your stateful set.
3. Verify that the PVCs are used in your stateful set replica pods by listing the pods in your cluster and identifying the pods that belong to your stateful set.

oc get pods
4. Verify that your existing PVC is mounted to your stateful set replica. Review the ClaimName in the Volumes section of your CLI output.

oc describe pod <pod_name>

Example output

Name: nginx-0
Namespace: default