vania-janet/multiturn-rag-retrieval-data huggingface dataset:
America/Puerto_Rico America/Rainy_River 
 America/Rankin_Inlet America/Recife 
 America/Regina America/Resolute 
 America/Rio_Branco America/Rosario 
 America/Santa_Isabel America/Santarem 
 America/Santiago America/Santo_Domingo 
 America/Sao_Paulo America/Scoresbysund 
 America/Shiprock America/Sitka 
 America/St_Barthelemy America/St_Johns 
 America/St_Kitts America/St_Lucia 
 America/St_Thomas America/St_Vincent 
 America/Swift_Current America/Tegucigalpa 
 America/Thule America/Thunder_Bay 
 America/Tijuana America/Toronto 
 America/Tortola America/Vancouver 
 America/Virgin America/Whitehorse 
 America/Winnipeg America/Yakutat 
 America/Yellowknife Antarctica/Casey 
 Antarctica/Davis Antarctica/DumontDUrville 
 Antarctica/Macquarie Antarctica/Mawson 
 Antarctica/McMurdo Antarctica/Palmer 
 Antarctica/Rothera Antarctica/South_Pole 
 Antarctica/Syowa Antarctica/Troll 
 Antarctica/Vostok Arctic/Longyearbyen 
 Asia/Aden Asia/Almaty 
 Asia/Amman Asia/Anadyr 
 Asia/Aqtau Asia/Aqtobe 
 Asia/Ashgabat Asia/Ashkhabad 
 Asia/Baghdad Asia/Bahrain 
 Asia/Baku Asia/Bangkok 
 Asia/Beirut Asia/Bishkek 
 Asia/Brunei Asia/Calcutta 
 Asia/Chita Asia/Choibalsan 
 Asia/Chongqing Asia/Chungking 
 Asia/Colombo Asia/Dacca 
 Asia/Damascus Asia/Dhaka 
 Asia/Dili Asia/Dubai 
 Asia/Dushanbe Asia/Gaza 
 Asia/Harbin Asia/Hebron 
 Asia/Ho_Chi_Minh Asia/Hong_Kong 
 Asia/Hovd Asia/Irkutsk 
 Asia/Istanbul Asia/Jakarta 
 Asia/Jayapura Asia/Jerusalem 
 Asia/Kabul Asia/Kamchatka 
 Asia/Karachi Asia/Kashgar 
 Asia/Kathmandu Asia/Katmandu 
 Asia/Khandyga Asia/Kolkata 
 Asia/Krasnoyarsk Asia/Kuala_Lumpur
--location or -l Required The geography or location where you want to create the action, such as us-south, us-east, eu-de, or eu-gb. The geography or location determines where your action runs and where your action data is stored. For more information, see [Where is my information stored?](https://cloud.ibm.com/docs/schematics?topic=schematics-secure-datapi-location). Make sure that you can store data in this location as you cannot change the location after the action is created. 
 --resource-group or -r Required The name of the resource group where you want to create the action. 
 --template or -tr Optional The URL to the Git repository where your Ansible playbook is stored. 
 --playbook-name or --pn Optional The name of the Ansible playbook. 
 --credentials or -C Optional The file path to the private SSH key that you want to use to access your target host, such as /.ssh/id_rsa. The SSH key should contain at the end of the key details in case of command-line or API calls. 
 --credential-json or --cj Optional Provide path of JSON file that contains credential JSON payload to access the target host. 
 --bastion or -b Optional The IP address of the bastion host. 
 --bastion-credential-json or --bj Optional Provide path of JSON file that contains bastion credential JSON payload to access the bastion host. 
 --inventory or -y Optional The ID of the resource inventory that you want to use in your action. To list existing inventories, run ibmcloud schematics inventory list. 
 --inventory-connection-type or --it Optional Type of inventory connection. Supported values are ssh, or winrm. Currently, WinRM supports only Windows system with the public IPs and do not support Bastion host. 
 --input or --in Optional The input variables for your action. Input variables must be entered as key-value pairs, such as --input mykey=myvalue.
High availability and disaster recovery 

IBM® Log Analysis is a highly available, multi-tenant, regional service for analyzing logs from your applications, platform resources and infrastructure. In this topic, you can learn more about IBM Log Analysis's availability and disaster recovery strategies.



 Availability zones 

An availability zone is a logically and physically isolated location within an IBM Cloud region where your data is processed and hosted.



* An availability zone has independent power, cooling, and network infrastructures that are isolated from other zones to strengthen fault tolerance by avoiding single points of failure between zones.
* An availability zone offers high bandwidth and low inter-zone latency within a region.



A region (location) is a geographically and physically separate group of one or more availability zones with independent electrical and network infrastructures isolated from other regions.



* Regions are designed to remove shared single points of failure with other regions and guarantee low inter-zone latency within the region.
* Each region has 3 different data centers (DC) for redundancy.



The following table lists the high-availability (HA) status for the regions (locations) where the IBM Log Analysis service is available:



Table 1. List of locations where the service is available

 Geography Region EU-Supported HA Status 

 Asia Pacific Chennai (in-che) N/A SZR 
 Asia Pacific Tokyo (jp-tok) N/A MZR 
 Asia Pacific Osaka (jp-osa) N/A MZR 
 Asia Pacific Sydney (au-syd) N/A MZR 
 Europe Frankfurt (eu-de) YES MZR 
 Europe London (eu-gb) NO MZR 
 North America Dallas (us-south) N/A MZR 
 North America Washington (us-east) N/A MZR 
 North America Toronto (ca-tor) N/A MZR 
 South America Sao Paulo (br-sao) N/A MZR 



Where



* A geography is a geographic area or larger political body that contains one or more regions.
* A region is a defined geographic territory.

A region could be a specific postal code area, a town, a city, a state, a group of states, or even a group of countries.
Locations 

IBM Cloud Metrics Routing is available in the following locations:

Zoom

![The image shows the locations where the IBM Cloud Metrics Routing service is available.](https://cloud.ibm.com/docs-content/v1/content/dad8f28785f0dc036aaae4b777787e73db9ff0d4/metrics-router/images/Metrics-Router-03-Locations.svg)

Figure 1. Displays the regions where you can create and manage IBM Cloud Metrics Routing resources.



Table 1. List of locations for IBM Cloud Metrics Routing

 Geography        Region                     EU-Supported   HA Status 

 Asia Pacific     Sydney (au-syd)            N/A            MZR       
 Europe           Frankfurt (eu-de) []       YES            MZR       
 Europe           London (eu-gb)             NO             MZR       
 North America    Washington DC (us-east)    N/A            MZR       
 North America    Dallas (us-south)          N/A            MZR       



Where



*  A geography is a geographic area or larger political body that contains one or more regions.
*  A region is a defined geographic territory. A region could be a specific postal code area, a town, a city, a state, a group of states, or even a group of countries.
*  N/A means feature that is not applicable to that geography.



[] For more information, see [Enabling EU support for your account](https://cloud.ibm.com/docs/account?topic=account-eu-supported).
"allow_insecure": false,
"expected_codes": "2xx",
"expected_body": "alive",
"probe_zone": "example.com"
}
Show more
For TCP: {
"description": "Health monitor of TCP",
"type": "tcp",
"port": 80,
"timeout": 5,
"retries": 2,
"interval": 90
}
-s, --json-str: Deprecated. The JSON data used to describe a GLB monitor.-j, --json-file: Deprecated. A file contains input JSON data.-i, --instance: Instance name or ID. If not set, the context instance specified by ibmcloud cis instance-set INSTANCE is used.--output: Specify output format, only JSON is supported.<-- </section "id="section-create-glb-monitors-options" "> --><-- <section "id="section-create-glb-monitors-examples" "> --> Examples Create a GLB monitors under instance cis-demo. ibmcloud cis glb-monitor-create --json '{"type":"https", "description":"Health monitor of web service", "method":"GET", "path":"/health", "header":{"Host":"example.com"],"X-App-ID":"abc123"] ! ! ! }, "port":8080, "timeout":5, "retries":2, "interval":90, "expected_body":"alive", "expected_codes":"2xx", "follow_redirects":true, "allow_insecure":true}' -i "cis-demo"
Valid values are dockerfile and buildpacks. The build strategy option is allowed only if the --build-source option is set on this job update command, or your job currently has an associated build. If not specified, the build strategy is determined by Code Engine if --build-source is specified and the source is on your local machine. This value is optional. The default value is dockerfile.

--build-timeout, --bto
: The amount of time, in seconds, that can pass before the build must succeed or fail. The build timeout option is allowed only if the --build-source option is set on this job update command, or your job currently has an associated build. This value is optional. The default value is 600.

--command, --cmd, -c
: Set commands for runs of the job. Specify one command per --command option; for example, --cmd cmdA --cmd cmdB. This value overrides the default command that is specified within the container image. This value is optional.

--commands-clear, --cc
: Clear job commands. This value is optional. The default value is false.

--cpu
: The amount of CPU to set for runs of the job. This value updates any --cpu value that is assigned in the job. For valid values, see [Supported memory and CPU combinations](https://cloud.ibm.com/docs/codeengine?topic=codeengine-mem-cpu-combo). This value is optional. The default value is 0.

--env, -e
: Set environment variables for runs of the job. Must be in NAME=VALUE format. This action adds a new environment variable or overrides an existing environment variable. Specify one environment variable per --env option; for example, --env envA=A --env envB=B. This value is optional.

--env-cm, --env-from-configmap
HTTP/1.1 200 OK
Date: Fri, 03 Mar 2017 20:34:12 GMT
X-Clv-Request-Id: 258fdd5a-f9be-40f0-990f-5f4225e0c8e5
Accept-Ranges: bytes
Server: Cleversafe/3.9.1.114
X-Clv-S3-Version: 2.5
Content-Type: application/xml
Content-Length: 276

<InitiateMultipartUploadResult xmlns="http://s3.amazonaws.com/doc/2006-03-01/">
<Bucket>some-bucket</Bucket>
<Key>multipart-object-123</Key>
<UploadId>0000015a-95e1-4326-654e-a1b57887784f</UploadId>
</InitiateMultipartUploadResult>

--------------------





 Upload a part 

A PUT request that is issued to an object with query parameters partNumber and uploadId will upload one part of an object. The parts can be uploaded serially or in parallel, but must be numbered in order.

Syntax

PUT https://{endpoint}/{bucket-name}/{object-name}?partNumber={sequential-integer}&uploadId={uploadId}= path style
PUT https://{bucket-name}.{endpoint}/{object-name}?partNumber={sequential-integer}&uploadId={uploadId}= virtual host style

Example request

PUT /some-bucket/multipart-object-123?partNumber=1&uploadId=0000015a-df89-51d0-2790-dee1ac994053 HTTP/1.1
Authorization: Bearer {token}
Content-Type: application/pdf
Host: s3.us.cloud-object-storage.appdomain.cloud
"name": "test-root-CA",
"common_name": "example.com",
"crl_disable": false,
"crl_distribution_points_encoded": true,
"issuing_certificates_urls_encoded": true,
"max_ttl": "43830h"
}' 
"https://{instance_ID}.{region}.secrets-manager.appdomain.cloud/api/v2/configurations"

A successful response adds the configuration to your service instance.

{
"common_name": "example.com",
"config_type": "private_cert_configuration_root_ca",
"created_at": "2022-06-27T11:58:15Z",
"created_by": "iam-ServiceId-e4a2f0a4-3c76-4bef-b1f2-fbeae11c0f21",
"crl_disable": false,
"crl_distribution_points_encoded": true,
"data": {
"certificate": "-----BEGIN CERTIFICATE-----nMIIGRjCCBS6gAwIBAgIUSKW6zI+E9JU4bvan-----END CERTIFICATE-----",
"expiration": 1825612535,
"issuing_ca": "-----BEGIN CERTIFICATE-----nMIIGRjCCBS6gAwIBAgIUSKW6zI+E9JU4bvadn-----END CERTIFICATE-----",
"serial_number": "48:a5:ba:cc:8f:84:f4:95:38:6e:f6:9d:9e:d7:8f:d8:43:d3:55:bd"
},
"exclude_cn_from_sans": false,
"format": "pem",
"authnId":token.IBMid,
"authnName":token.sub,
"credential":{
"type":"user"
},
"host":{
"address":"9.197.247.35",
"addressType":"IPv4",
"agent":"grpc-go/1.38.0"
}
},
"eventTime":"2021-07-14T10:27:00.39+0000",
"logSourceCRN": <full CRN which is provided by user/customer>",
"message":"Hyper Protect Virtual Server : delete secure-network-admin-key",
"observer":{
"name":"ActivityTracker"
},
"outcome":"success",
"reason":{
"reasonCode":200,
"reasonType":"ok"
},
"saveServiceCopy":true,
"severity":"critical",
"target":{
"name":"",
"typeURI":"<hpvs service name>/secure-network-admin-key",
"id":<full CRN which is provided by user/customer>,
"resourceGroupId":<full CRN of resourceGroupId which is provided by HPVS team>
},
"dataEvent":true,
"requestData":{
"serviceInstanceId":<analysis from instance CRN>,
"accountId":<token.account>,
"adminPubKeyId":<token.IBMid>
},
"responseData":{
"adminPubKeyId":<token.IBMid>
}
}
Show more







 Step 3: Admin key administration
The value is SUCCESS or FAIL. 
 buildNumber Optional: The set value to any string that represents version number. 
 applicationName Optional: Set the application name. If this value is set the environment variable, IBM_CLOUD_DEVOPS_APP_NAME is ignored. 



Here are the parameters in an example command:

stages {
Stage(Build) {
environmnet {
// get git commit from Jenkins
GIT_COMMIT = sh(returnStdout: true, script: 'git rev-parse HEAD').trim()
GIT_BRANCH = 'master'
GIT_REPO = 'https:github.com/xunronli-ibm/DemoDRA/'
}
steps {
echo "building"
}
// post build section to use "publishBuildRecord" method to publish build record
post {
success {
publishBuildRecord gitBranch: "${GIT_BRANCH}", gitCommit: "${GIT_COMMIT}", gitRepo: "${GIT_REPO}", result:"SUCCESS"
}
failure {
publishBuildRecord gitBranch: "${GIT_BRANCH}", gitCommit: "${GIT_COMMIT}", gitRepo: "${GIT_REPO}", result:"FAIL"
}
}
}
}
Show more

The Jenkins Pipeline doesn't show Git information as environment variables. You can get the Git commit ID by using the command sh(returnStdout: true, script: 'Git rev-parse HEAD').trim().





 DevOps Insights steps 

The Cloud DevOps plug-in adds four steps to Jenkins pipelines for you to use. Use these steps in your pipelines to interact with DevOps Insights. Add these steps to your pipeline definition wherever you need them to run. For example, you might upload test results after you run a test, and then evaluate those results at a gate after they are uploaded.



Table 3.
When an I/O request reaches its deadline, it is pushed to the highest priority.
* No Operation (NOOP) is a basic scheduler that passes down the I/O that comes to it. This scheduler places all I/O requests into a FIFO (First in, First Out) queue. It's a useful tool for checking whether complex I/O scheduling decisions of other schedulers are causing I/O performance regressions. This scheduler is recommended for setups with devices that do I/O scheduling themselves, such as intelligent storage or in multipathing environments. If you choose a more complicated scheduler on the host, the scheduler of the host and the scheduler of the storage device can compete with each other and decrease performance. The storage device can usually determine best how to schedule I/O. For more information about how to check and configure the I/O scheduler, see Red Hat's [How to use the NOOP or None IO Schedulers](https://access.redhat.com/solutions/109223).
* Completely fair queuing (CFQ) uses both elevators and request merging, and it's a bit more complex than the NOOP or deadline schedulers. It's the standard scheduler for many Linux distributions. It groups simultaneous requests that are made by operations into a series of per-process pools before it allocates time slices to use the disc for every queue.



If your work load is dominated by interactive applications, the users might complain of sluggish performance of databases with many I/O operations. In such environments, read operations happen significantly more often than write operations, and applications are more likely to be waiting to read data. You can check the default IO scheduler settings and try different schedulers to ensure optimization for your specific workload.
* [Enable Jumbo Frames](https://cloud.ibm.com/docs/FileStorage?topic=FileStorage-jumboframes) and configure them to be the same on the entire network path from source device <-> switch <-> router <-> switch <-> target device. If the entire chain isn't set the same, it defaults to the lowest setting along the chain.
acos 

acos(expr)
: Returns the inverse cosine (also known as arccosine) of expr if -1<;=expr<=1 or NaN otherwise.
: Example of an SQL function usage fragment

> SELECT acos(1)
: Result value

0.0
: Example of an SQL function usage fragment

> SELECT acos(2)
: Result value

NaN





 add_months 

add_months(start_date, num_months)
: Returns the date that is num_months after start_date.
: Example of an SQL function usage fragment

> SELECT add_months('2016-08-31', 1)
: Result value

2016-09-30





 and 

expr1 and expr2
: Logical AND.





 approx_count_distinct 

approx_count_distinct(expr[, relativeSD])
: Returns the estimated cardinality by HyperLogLog++. relativeSD defines the maximum estimation error allowed.





 approx_percentile 

approx_percentile(col, percentage [, accuracy])
: Returns the approximate percentile value of numeric column col at the indicated percentage. The value of percentage must be between 0.0 and 1.0. The accuracy parameter (default: 10000) is a positive numeric literal that controls approximation accuracy at the cost of memory. Higher value of accuracy yields better accuracy, 1.0/accuracy is the relative error of the approximation. When percentage is an array, each value of the percentage array must be between 0.0 and 1.0. In this case, returns the approximate percentile array of column col at the indicated percentage array.
: Example of an SQL function usage fragment

> SELECT approx_percentile(10.0, array(0.5, 0.4, 0.1), 100)
: Result value

[10.0,10.0,10.0]
: Example of an SQL function usage fragment

> SELECT approx_percentile(10.0, 0.5, 100)
: Result value

10.0





 array
requestBody := []byte("grant_type=urn:ibm:params:oauth:grant-type:apikey&apikey=" + cr.APIKey)

req, err = http.NewRequest("POST", cr.Endpoint+"/identity/token", bytes.NewBuffer(requestBody))
if err != nil {
return err
}

req.Header.Set("Content-Type", "application/x-www-form-urlencoded")
req = req.WithContext(ctx)
resp, err := client.Do(req)
if err != nil {
return err
}

respBody, err := ioutil.ReadAll(resp.Body)
if err != nil {
return fmt.Errorf("failed to read response body: %s", err)
}
defer resp.Body.Close()

iamToken := struct {
AccessToken string json:"access_token"
ExpiresIn int32 json:"expires_in"
}{}

err = json.Unmarshal(respBody, &iamToken)
if err != nil {
return fmt.Errorf("error unmarshaling response body: %s", err)
}

cr.AccessToken = fmt.Sprintf("Bearer %s", iamToken.AccessToken)
cr.expiration = time.Now().Add((time.Duration(iamToken.ExpiresIn - 60))* time.Second)

return nil
}

// Generating a GREP11 API function call

// The following IBM Cloud items need to be changed prior to running the sample program
const address = "<grep11_server_address>:<port>"

var callOpts = []grpc.DialOption{
--is-prod (Optional) Flag for whether or not the command was run in production environment. Default is false.
--read-only (Optional) Process result file in read-only mode (return found and existing issues, do not create new ones, set processed status to failure or success). Default is false
--custom-exempt-label (Optional) Defines the custom label with which the incident has been marked as exempted
--incident-id (Required) Defines the incident ID to be used for creating legacy incident
--current-status (Required) Current status to be treated as success or failure [choices: "success", "failure"]
--custom-comment (Optional) Additional text to be added to issue comments

Environment variables:

INCIDENT_REPO_ORG= Can be used instead of --org (either the option or the variable is required)
INCIDENT_REPO_NAME= Can be used instead of --repo (either the option or the variable is required)
 Required Environment Variables, if using GitHub:

GHE_TOKEN= Github Enterprise API Token (Optional if using --git-token-path)

If you are using github you can use the --git-token-path field to set your GitHub token and use the --git-api-url field to set the GitHub Enterprise API URL (it defaults to https://github.ibm.com/api/v3) instead of the GHE_TOKEN and GH_URL environment variables. If the GHE_TOKENGH_URL and --git-token-path--git-api-url both pairs are both provided, --git-token-path and --git-api-url take precedence.

Return values:



* The command lists incident issue URLs found or created if the --current-status was passed in as failure. The comand also closes the incident issue URLs matching the same incident-tool-subject combination if the --current-status was passed in as failure.
* In --read-only mode the command lists details of found incidents if no issue is found for that incident.
The following example cloud.cfg file shows settings that are used in a Red Hat Enterprise Linux 7 deployment. These settings differ from the default settings in the cloud-init installation package on Red Hat Enterprise Linux 7.

 cat /etc/cloud/cloud.cfg
 Configure the Datasource for both instances
datasource_list: [ ConfigDrive ]

user: root
ssh_pwauth: True
disable_root: False
manage_etc_hosts: True

system_info:
 This will affect which distro class gets used
distro: rhel
 Other config here will be given to the distro class and/or path classes
paths:
cloud_dir: /var/lib/cloud/
templates_dir: /etc/cloud/templates/

cloud_init_modules:
- migrator
- seed_random
- bootcmd
- write-files
- disk_setup
- mounts
- ca-certs
- rsyslog
- users-groups
- ssh

cloud_config_modules:
 Emit the cloud config ready event
 this can be used by upstart jobs for 'start on cloud-config'.
- snap_config
- locale
- set-passwords
- ntp
- timezone
- disable-ec2-metadata
- set_hostname
- update_hostname
- update_etc_hosts
- runcmd

 The modules that run in the 'final' stage
cloud_final_modules:
- snappy
- package-update-upgrade-install
- fan
- lxd
- puppet
- chef
- salt-minion
- mcollective
- rightscale_userdata
- scripts-vendor
- scripts-per-once
- scripts-per-boot
- scripts-per-instance
- scripts-user
- ssh-authkey-fingerprints
- keys-to-console
Do not configure the plug-in.

Do not do any IBM Cloud Provider Plug-in configuration because those files are provided for you.
2. [Create or retrieve an IBM Cloud API key](https://cloud.ibm.com/docs/account?topic=account-userapikeycreate_user_key). The API key is used to authenticate with the IBM Cloud platform and to determine your permissions for IBM Cloud services.
3. [Create or retrieve your SSH key ID](https://cloud.ibm.com/docs/ssh-keys?topic=ssh-keys-getting-started-tutorial). You need the 40-digit UUID for the SSH key, not the SSH key name.







 Procedure 

Use these steps to configure the IBM Cloud Provider Plug-in and use Terraform to create a VPC for SAP.



1. Create a project folder in the Terraform installation folder, and change directory to your project folder.

mkdir myproject && cd myproject
2. Copy the files from [https://github.com/IBM-Cloud/sap-infra-anydb-distributed/tree/main/cli](https://github.com/IBM-Cloud/sap-infra-anydb-distributed/tree/main/cli) to the project folder that you created in the Terraform installation directory.
3. Edit the terraform.tfvars variable file and enter the IBM Cloud API key that you retrieved.

ibmcloud_api_key = "<ibmcloud_apikey>"

Variables that are defined in the terraform.tfvars file are automatically loaded by Terraform when the IBM Cloud Provider plug-in is initialized and you can reference them in every Terraform configuration file that you use.

Because the terraform.tfvars file contains confidential information, do not push this file to a version control system. Keep this file on your local system only.
4. Edit the input.auto.tfvars file to customize your solution.