Skip to content

Example Datasets

This page contains datasets that are used by some of the example pipelines. Data for these datasets can be accessed from an RDA pipeline using @files:loadfile bot.


Dataset: demo_adm_application_nodes_dataset

This Dataset has 9 Rows and 16 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_adm_application_nodes_dataset.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='demo_adm_application_nodes_dataset'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_adm_application_nodes_dataset.csv'
       --> @dm:save
             name = 'demo_adm_application_nodes_dataset'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'demo_adm_application_nodes_dataset' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/demo_adm_application_nodes_dataset.csv'


Data Model
Column Data Type Detected Content Type Sample Value
agentType TEXT APP_AGENT
appAgentPresent TEXT Numerical True
appAgentVersion TEXT Server Agent #21.3.0.32281 v21.3.0 GA compatible with 4.4.1.0 rcd7d7317f698cefb9003377c1af0ff3ef81ee922 release/21.3.0
app_name TEXT Petclinic-Sprint-App01
id NUMERIC Numerical 235307
ipAddress TEXT 172.17.0.1
machineAgentPresent TEXT Numerical False
machineAgentVersion TEXT Machine Agent v21.3.0-3059 GA compatible with 4.4.1.0 Build Date 2021-03-24 18:34:20
machineId NUMERIC Numerical 490670
machineName TEXT localhost
machineOSType TEXT Linux
name TEXT Petclinic-Sprint-App01
nodeUniqueLocalId NUMERIC None
tierId NUMERIC Numerical 15306
tierName TEXT Web
type TEXT Other




Dataset: demo_adm_apps_to_db_conn_dataset

This Dataset has 6 Rows and 13 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_adm_apps_to_db_conn_dataset.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='demo_adm_apps_to_db_conn_dataset'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_adm_apps_to_db_conn_dataset.csv'
       --> @dm:save
             name = 'demo_adm_apps_to_db_conn_dataset'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'demo_adm_apps_to_db_conn_dataset' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/demo_adm_apps_to_db_conn_dataset.csv'


Data Model
Column Data Type Detected Content Type Sample Value
DATABASE TEXT wordpress
HOST TEXT 192.168.131.23
ID NUMERIC Numerical 12199
MAJOR_VERSION TEXT 5.7.8-rc
PORT NUMERIC Numerical 3306
SCHEMA TEXT PETCLINIC
URL TEXT jdbc:mysql://192.168.134.71:3306/petclinic?autoReconnect=true
VENDOR TEXT MYSQL
app_name TEXT CMS Application
applicationComponentNodeId NUMERIC Numerical 0
exitPointType TEXT DB
label TEXT 192.168.131.23:3306 - wordpress - MYSQL
tierId NUMERIC Numerical 0




Dataset: demo_adm_biz_application_dataset

This Dataset has 4 Rows and 4 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_adm_biz_application_dataset.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='demo_adm_biz_application_dataset'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_adm_biz_application_dataset.csv'
       --> @dm:save
             name = 'demo_adm_biz_application_dataset'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'demo_adm_biz_application_dataset' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/demo_adm_biz_application_dataset.csv'


Data Model
Column Data Type Detected Content Type Sample Value
account_guid TEXT 552da6c3-341f-412b-be05-5768fe5aa455
app_id NUMERIC Numerical 814
app_name TEXT Petclinic Application
description TEXT Petclinic sample application




Dataset: demo_adm_db_server_nodes_dataset

This Dataset has 4 Rows and 19 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_adm_db_server_nodes_dataset.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='demo_adm_db_server_nodes_dataset'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_adm_db_server_nodes_dataset.csv'
       --> @dm:save
             name = 'demo_adm_db_server_nodes_dataset'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'demo_adm_db_server_nodes_dataset' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/demo_adm_db_server_nodes_dataset.csv'


Data Model
Column Data Type Detected Content Type Sample Value
backendId NUMERIC Numerical 31286
configId NUMERIC Numerical 997
cpuCores NUMERIC Numerical 2
createdOn NUMERIC Timestamp (unit=ms) 1631761830000
host TEXT 192.168.134.102
id NUMERIC Numerical 903
internalName TEXT dbmon:997
ipAddress TEXT 192.168.134.102
metadataProps TEXT [{'key': 'version', 'value': '5.7'}]
modifiedOn NUMERIC Timestamp (unit=ms) 1647549473000
name TEXT linux-fin-db01
nameUnique TEXT Numerical True
nodeId NUMERIC Numerical 141573
port NUMERIC Numerical 3306
role TEXT STANDALONE
simMachineId NUMERIC Numerical 0
type TEXT MYSQL
uniqueHostId TEXT 1d0a1d423f6b
version NUMERIC Numerical 0




Dataset: demo_cisco_ucs_blade_inventory_dataset

This Dataset has 16 Rows and 9 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_cisco_ucs_blade_inventory_dataset.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='demo_cisco_ucs_blade_inventory_dataset'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_cisco_ucs_blade_inventory_dataset.csv'
       --> @dm:save
             name = 'demo_cisco_ucs_blade_inventory_dataset'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'demo_cisco_ucs_blade_inventory_dataset' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/demo_cisco_ucs_blade_inventory_dataset.csv'


Data Model
Column Data Type Detected Content Type Sample Value
ucsm_ip TEXT 192.168.158.8
dn TEXT sys/chassis-1/blade-6
rn TEXT blade-6
model TEXT UCSB-B200-M3
serial TEXT ACM1746J9ZL
service_profile_name TEXT AF-Server-Pro-C1_S6
uuid TEXT cc9ba9e0-cb43-11e3-0000-0000000000af
original_uuid TEXT dc2e7bfc-a160-4f13-982b-efeafc9bef82
assigned_to_dn TEXT org-root/org-AppFabrix/ls-AF-Server-Pro-C1_S6




Dataset: demo_cisco_ucs_chassis_inventory_dataset

This Dataset has 4 Rows and 7 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_cisco_ucs_chassis_inventory_dataset.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='demo_cisco_ucs_chassis_inventory_dataset'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_cisco_ucs_chassis_inventory_dataset.csv'
       --> @dm:save
             name = 'demo_cisco_ucs_chassis_inventory_dataset'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'demo_cisco_ucs_chassis_inventory_dataset' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/demo_cisco_ucs_chassis_inventory_dataset.csv'


Data Model
Column Data Type Detected Content Type Sample Value
ucsm_ip TEXT 192.168.158.8
dn TEXT sys/chassis-1
rn TEXT chassis-1
model TEXT N20-C6508
serial TEXT ACM1449GPD8
vendor TEXT Cisco Systems Inc
conn_path TEXT A




Dataset: demo_cisco_ucs_cimc_dataset

This Dataset has 5 Rows and 8 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_cisco_ucs_cimc_dataset.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='demo_cisco_ucs_cimc_dataset'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_cisco_ucs_cimc_dataset.csv'
       --> @dm:save
             name = 'demo_cisco_ucs_cimc_dataset'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'demo_cisco_ucs_cimc_dataset' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/demo_cisco_ucs_cimc_dataset.csv'


Data Model
Column Data Type Detected Content Type Sample Value
Unnamed: 0 NUMERIC Numerical 0
ucs_server_cimc_ip TEXT 192.168.158.24
ucs_server_hostname TEXT C240-ACM1811V15Q
ucs_server_pid TEXT UCSC-C240-M3S
ucs_server_serial TEXT ACM1811V15Q
ucs_server_vendor TEXT Cisco Systems Inc
ucs_server_cimc_mac TEXT 74:26:AC:C9:95:4B
ucs_server_bios_uuid TEXT 3841852f-ebe9-da47-b469-3fed10d8c7ee




Dataset: demo_cisco_ucs_fi_cdp_inventory_dataset

This Dataset has 8 Rows and 10 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_cisco_ucs_fi_cdp_inventory_dataset.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='demo_cisco_ucs_fi_cdp_inventory_dataset'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_cisco_ucs_fi_cdp_inventory_dataset.csv'
       --> @dm:save
             name = 'demo_cisco_ucs_fi_cdp_inventory_dataset'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'demo_cisco_ucs_fi_cdp_inventory_dataset' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/demo_cisco_ucs_fi_cdp_inventory_dataset.csv'


Data Model
Column Data Type Detected Content Type Sample Value
ucsm_ip TEXT 192.168.158.8
dn TEXT sys/switch-B/lan-neighbors/if-Ethernet1/19
fi_port_dn TEXT sys/switch-B/slot-1/switch-ether/port-19
local_interface TEXT Ethernet1/19
phy_switch_device_id TEXT N5K-B.engr.acme.com(ACM144913H3)
phy_switch_ip_address TEXT 192.168.158.10
phy_switch_model TEXT N5K-C5010P-BF
phy_switch_interface TEXT Ethernet1/1
phy_switch_serial TEXT ACM144913H3
phy_switch_device_name TEXT N5K-B.engr.acme.com




Dataset: demo_cisco_ucs_fi_inventory_dataset

This Dataset has 2 Rows and 8 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_cisco_ucs_fi_inventory_dataset.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='demo_cisco_ucs_fi_inventory_dataset'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_cisco_ucs_fi_inventory_dataset.csv'
       --> @dm:save
             name = 'demo_cisco_ucs_fi_inventory_dataset'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'demo_cisco_ucs_fi_inventory_dataset' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/demo_cisco_ucs_fi_inventory_dataset.csv'


Data Model
Column Data Type Detected Content Type Sample Value
ucsm_ip TEXT 192.168.158.8
dn TEXT sys/switch-A
rn TEXT switch-A
model TEXT UCS-FI-6248UP
serial TEXT ACM180402FF
id TEXT A
oob_if_ip TEXT 192.168.158.5
oob_if_mac TEXT 00:2A:6A:C0:B4:21




Dataset: demo_vcenter_inventory

This Dataset has 1 Row and 15 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vcenter_inventory.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='demo_vcenter_inventory'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vcenter_inventory.csv'
       --> @dm:save
             name = 'demo_vcenter_inventory'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'demo_vcenter_inventory' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vcenter_inventory.csv'


Data Model
Column Data Type Detected Content Type Sample Value
build NUMERIC 18485185
collection_timestamp NUMERIC Timestamp (unit=ms) 1652391042622
fullName TEXT VMware vCenter Server 6.7.0 build-18485185
instanceUuid TEXT 9229d458-659f-49d6-96bf-9be0b79355e6
licenseProductName TEXT VMware VirtualCenter Server
licenseProductVersion NUMERIC 6.0
localeBuild NUMERIC 0
localeVersion TEXT INTL
name TEXT VMware vCenter Server
osType TEXT linux-x64
productLineId TEXT vpx
vcenter_address TEXT 192.168.125.61
vendor TEXT VMware, Inc.
version TEXT datetimestr 6.7.0
vcenter_fqdn TEXT vcenter-65-dr-01.engr.acme.com




Dataset: demo_vmware_datastore_inventory

This Dataset has 30 Rows and 35 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_datastore_inventory.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='demo_vmware_datastore_inventory'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_datastore_inventory.csv'
       --> @dm:save
             name = 'demo_vmware_datastore_inventory'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'demo_vmware_datastore_inventory' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_datastore_inventory.csv'


Data Model
Column Data Type Detected Content Type Sample Value
capacity NUMERIC Timestamp (unit=ms) 1789927620608.0
capacity_GB NUMERIC Numerical 1667
collection_timestamp NUMERIC Timestamp (unit=ms) 1652391085119
datacenter TEXT acme-datacenter
dsActiveAlarms TEXT vim.alarm.Alarm:alarm-11: yellow
ds_cluster_capacity NUMERIC Numerical 8796093022208.0
ds_cluster_datastores TEXT netapp-pm-nfs-10g-01, netapp-pm-nfs-10g-02
ds_cluster_freeSpace NUMERIC Timestamp (unit=ms) 3443219832832.0
ds_cluster_name TEXT netapp-pm-cluster01
ds_cluster_overallStatus TEXT yellow
extents TEXT naa.600605b009257580237343ae0fc1af57
freeSpace_GB NUMERIC Numerical 1661
host_accessMode TEXT readWrite
host_accessible TEXT Numerical True
host_mounted TEXT Numerical True
host_name TEXT 192.168.131.61
host_path TEXT /vmfs/volumes/5be089af-90cd9dc0-410d-d072dca05ec8
is_accessible TEXT Numerical True
local TEXT Numerical True
multipleHostAccess TEXT Numerical False
name TEXT datastore26
num_of_hosts NUMERIC Numerical 1
overallStatus NUMERIC None
overprovisioned_pct NUMERIC Numerical 0
provisioned_GB NUMERIC Numerical 6
remoteHost TEXT 192.168.107.33
remotePath TEXT /vol/vol_prod_only_01
ssd TEXT Numerical False
type TEXT VMFS
uncommitted_GB NUMERIC Numerical 0
url TEXT ds:///vmfs/volumes/5be089af-90cd9dc0-410d-d072dca05ec8/
uuid TEXT 5be089af-90cd9dc0-410d-d072dca05ec8
vcenter_address TEXT 192.168.125.61
vmfs_version NUMERIC Numerical 5.81
cluster NUMERIC None




Dataset: demo_vmware_host_inventory

This Dataset has 5 Rows and 212 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_host_inventory.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='demo_vmware_host_inventory'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_host_inventory.csv'
       --> @dm:save
             name = 'demo_vmware_host_inventory'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'demo_vmware_host_inventory' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_host_inventory.csv'


Data Model
Column Data Type Detected Content Type Sample Value
accel3dSupported TEXT Numerical False
accessible_datastores TEXT netapp-prod-only-01, datastore28, netapp-prod-only-02, netapp_oia_dev_01, netapp-pm-nfs-10g-01, netapp-pm-nfs-10g-02
agentVmDatastore NUMERIC None
agentVmNetwork NUMERIC None
autostartmgrenabled NUMERIC None
backgroundSnapshotsSupported TEXT Numerical False
canSetPhysicalNicLinkSpeed TEXT Numerical True
capacityForVmCache NUMERIC None
cloneFromSnapshotSupported TEXT Numerical True
cluster TEXT acme-cluster-01
cluster_alarm TEXT Host hardware system board status: red, Virtual machine CPU usage: yellow, Virtual machine CPU usage: red
cluster_drs_enabled TEXT Numerical True
cluster_effectiveCpu_MHz NUMERIC Numerical 244860
cluster_effectiveMemory_GB NUMERIC Numerical 1766
cluster_ha_enabled TEXT Numerical True
cluster_numHosts NUMERIC Numerical 5
cluster_totalCpu_MHz NUMERIC Numerical 279900
cluster_totalMemory_GB NUMERIC Numerical 1823
collection_timestamp NUMERIC Timestamp (unit=ms) 1652391084048
coniproutedefaultGateway NUMERIC None
coniproutegatewayDevice NUMERIC None
coniprouteipV6DefaultGateway NUMERIC None
coniprouteipV6GatewayDevice NUMERIC None
connectionState TEXT connected
cpuHwMmuSupported TEXT Numerical True
cpuMemoryResourceConfigurationSupported TEXT Numerical True
cpuMhz NUMERIC Numerical 2799
cpuModel TEXT Intel(R) Xeon(R) CPU E5-2680 v2 @ 2.80GHz
cpuallocationexpandableReservation TEXT Numerical False
cpuallocationlimit NUMERIC Numerical 56000
cpuallocationoverheadLimit NUMERIC Numerical 0
cpuallocationreservation NUMERIC Numerical 56000
cpuallocationsahreslevel TEXT custom
cpuallocationsahresshares NUMERIC Numerical 4096000
cryptoState TEXT incapable
cryptoSupported TEXT Numerical True
dasHostState TEXT connectedToMaster
datacenter TEXT acme-datacenter
datastorePrincipalSupported TEXT Numerical False
datastores TEXT netapp-prod-only-01, datastore28, netapp-prod-only-02, netapp_oia_dev_01, netapp-pm-nfs-10g-01, netapp-pm-nfs-10g-02
datetimesystemzonekey TEXT UTC
datetimesystemzonename TEXT UTC
defaultVFlashModule TEXT vfc
deltaDiskBackingsSupported TEXT Numerical True
dhcpOnVnicSupported TEXT Numerical True
diagnosticSystemPartitionNumber NUMERIC Numerical 9
diagnosticSystemPartitionSlots NUMERIC Numerical -15
diagnosticSystemPartitionStorageType TEXT networkAttached
diagnosticSystemPartitionidname TEXT naa.600605b00925b1802377f5d107efff34
diagnosticSystemdiagnosticType TEXT singleHost
distributedCpuFairness NUMERIC Numerical 190
distributedMemoryFairness NUMERIC Numerical 257
dnsConfigSupported TEXT Numerical True
dnsconfigdomainname TEXT acme.internal
dnsconfighostname TEXT milesxi-dr-03
dnsconfigsearchdomains TEXT acme.internal, engr.acme.com
dnsconfiguseddhcp TEXT Numerical False
dnsserveripaddress TEXT 192.168.159.100, 192.168.159.101
dvswitches TEXT ACME-Prod-DR-dvSwitch01
eightPlusHostVmfsSharedAccessSupported TEXT Numerical True
encryptedVMotionSupported TEXT Numerical True
encryptionCBRCSupported TEXT Numerical False
encryptionChangeOnAddRemoveSupported TEXT Numerical False
encryptionFaultToleranceSupported TEXT Numerical False
encryptionHBRSupported TEXT Numerical True
encryptionHotOperationSupported TEXT Numerical False
encryptionMemorySaveSupported TEXT Numerical True
encryptionRDMSupported TEXT Numerical False
encryptionVFlashSupported TEXT Numerical False
encryptionWithSnapshotsSupported TEXT Numerical False
esx_host_build TEXT VMware ESXi 6.7.0 build-17700523
esx_host_hardware_model TEXT UCSC-C240-M3S
esx_host_hardware_vendor TEXT Cisco Systems Inc
esx_host_memory_size NUMERIC Numerical 360639045632
esx_host_num_cpu_cores NUMERIC Numerical 20
esx_host_num_cpu_threads NUMERIC Numerical 40
esx_host_num_hbas NUMERIC Numerical 4
esx_host_num_nics NUMERIC Numerical 6
esx_host_status TEXT green
esx_host_version TEXT datetimestr 6.7.0
esxi_host_hw_AssetTag TEXT Unknown
esxi_host_hw_ServiceTag TEXT FCH1623VDBE
faultToleranceEnabled TEXT Numerical False
featureCapabilitiesSupported TEXT Numerical True
firewallIpRulesSupported TEXT Numerical True
firewallincomingblocked TEXT Numerical True
firewalloutgoingblocked TEXT Numerical True
freeForVmCache NUMERIC None
ftSupported TEXT Numerical False
fullName TEXT VMware ESXi 6.7.0 build-17700523
gatewayId NUMERIC None
gatewayOnNicSupported TEXT Numerical True
gatewayType NUMERIC None
hardware_bios_uuid TEXT dd833ac5-70e1-5b4f-af91-ea3f5065ae64
hardware_vendor TEXT Cisco Systems Inc
hbrNicSelectionSupported TEXT Numerical True
host TEXT 192.168.131.63
hostAccessManagerSupported TEXT Numerical True
hostMaxVirtualDiskCapacity NUMERIC None
host_alarm NUMERIC None
host_id TEXT dd833ac5-70e1-5b4f-af91-ea3f5065ae64
host_overall_cpu_usage_MHz NUMERIC Numerical 28251
hostaccesslockdownmode TEXT lockdownDisabled
hostport NUMERIC Numerical 443
hostservices TEXT Direct Console UI, ESXi Shell, SSH, Load-Based Teaming Daemon, Active Directory Service, NTP Daemon, PC/SC Smart Card Daemon, CIM Server, slpd, SNMP Server, Syslog Server, vSphere High Availability Agent, VMware vCenter Agent, X.Org Server
hyperthreadInfoactive TEXT Numerical True
hyperthreadconfig TEXT Numerical True
hyperthreadoptavailable TEXT Numerical True
inMaintenanceMode TEXT Numerical False
inQuarantineMode TEXT Numerical False
inaccessible_datastores NUMERIC None
ipRouteConfigSupported TEXT Numerical True
ipV6Supported TEXT Numerical True
ipmiSupported TEXT Numerical True
iproutedefaultGateway TEXT 192.168.131.1
iproutegatewayDevice NUMERIC None
iprouteipV6DefaultGateway NUMERIC None
iprouteipV6GatewayDevice NUMERIC None
iscsiSupported TEXT Numerical True
latencySensitivitySupported TEXT Numerical True
licenseProductName TEXT VMware ESX Server
licenseProductVersion NUMERIC Numerical 6.0
localDatastoreSupported TEXT Numerical False
localSwapDatastoreSupported TEXT Numerical True
localeBuild NUMERIC Numerical 0
localeVersion TEXT INTL
loginBySSLThumbprintSupported TEXT Numerical True
maintenanceModeSupported TEXT Numerical True
managementServerIp TEXT 192.168.125.61
markAsLocalSupported TEXT Numerical True
markAsSsdSupported TEXT Numerical True
maxHostRunningVms NUMERIC Numerical 640
maxHostSupportedVcpus NUMERIC Numerical 640
maxNumDisksSVMotion NUMERIC Numerical 256
maxPortGroupsPerVswitch NUMERIC None
maxRegisteredVMs NUMERIC Numerical 2560
maxRunningVMs NUMERIC Numerical 0
maxSupportedVMs NUMERIC None
maxSupportedVcpus NUMERIC None
maxVcpusPerFtVm NUMERIC Numerical 8
memallocationexpandableReservation TEXT Numerical False
memallocationlimit NUMERIC Numerical 343547
memallocationoverheadLimit NUMERIC Numerical 0
memallocationreservation NUMERIC Numerical 343547
memallocationsahreslevel TEXT custom
memallocationsahresshares NUMERIC Timestamp (unit=s) 2147483647
memorySize NUMERIC Numerical 360639045632
model TEXT UCSC-C240-M3S
nfsMountCreationRequired TEXT Numerical True
nfsMountCreationSupported TEXT Numerical True
nfsSupported TEXT Numerical True
nicTeamingPolicy TEXT loadbalance_ip, loadbalance_srcmac, loadbalance_srcid, failover_explicit
no_of_dvswitches NUMERIC Numerical 1
no_of_vms NUMERIC Numerical 38
no_of_vnics NUMERIC Numerical 4
no_of_vswitches NUMERIC Numerical 1
ntpserveriporfqdn TEXT 0.us.pool.ntp.org, 1.us.pool.ntp.org
numCpuCores NUMERIC Numerical 20
numCpuPkgs NUMERIC Numerical 2
numCpuThreads NUMERIC Numerical 40
numHBAs NUMERIC Numerical 4
numNics NUMERIC Numerical 6
num_of_datastores NUMERIC Numerical 6
num_of_portgroups NUMERIC Numerical 11
osType TEXT vmnix-x86
overallCpuUsage NUMERIC Numerical 28251
overallMemoryUsage_MB NUMERIC Numerical 305589
powerState TEXT poweredOn
powerpolicyName NUMERIC None
powerpolicyShortName NUMERIC None
productLineId TEXT embeddedEsx
product_vendor TEXT VMware, Inc.
rebootRequired TEXT Numerical False
sanSupported TEXT Numerical True
serialNumber NUMERIC None
serviceConsoleReserved NUMERIC Numerical 0
serviceConsoleReservedCfg NUMERIC Numerical 0
serviceConsoleUnReserved NUMERIC Numerical 0
snmpconfigenabled NUMERIC None
snmpconfigport NUMERIC Numerical 0
snmpconfigreadonlycommunities TEXT []
snmpconfigtraptargets TEXT []
standbyMode TEXT none
supportsNetworkHints TEXT Numerical True
supportsNicTeaming TEXT Numerical True
supportsVlan TEXT Numerical True
swapCacheReservationInGB NUMERIC Numerical 0
systemdefaultautostartdelay NUMERIC Numerical 0
systemdefaultautostoptdelay NUMERIC Numerical 0
systemdefaultpoweroffaction NUMERIC None
total_vm NUMERIC Numerical 38
uptime_seconds NUMERIC Numerical 6714635
usesServiceConsoleNic TEXT Numerical False
vFlashResourceConfigInfocapacity NUMERIC Numerical 0
vcenter_address TEXT 192.168.125.61
version TEXT datetimestr 6.7.0
vffsvolumesaccessible NUMERIC None
vflashresourcecapacity NUMERIC None
vflashresourceusage NUMERIC Numerical 0
virtualMachineMax NUMERIC Numerical 0
virtualMachineMin NUMERIC Numerical 0
virtualMachineReserved NUMERIC Numerical 0
vmfsExtentExpansionSupported TEXT Numerical True
vmmemoryreserveallocpolicy NUMERIC None
vnicConfigSupported TEXT Numerical True
vnics TEXT vmk0, vmk1, vmk2, vmk3
vswitchConfigSupported TEXT Numerical True
vswitches TEXT vSwitch0
waitForHeartbeat NUMERIC None
connected_switchports_address NUMERIC None
connected_switchports_mgmtAddr NUMERIC None
connected_switchports_devId NUMERIC None




Dataset: demo_vmware_host_vmkernel_inventory

This Dataset has 25 Rows and 25 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_host_vmkernel_inventory.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='demo_vmware_host_vmkernel_inventory'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_host_vmkernel_inventory.csv'
       --> @dm:save
             name = 'demo_vmware_host_vmkernel_inventory'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'demo_vmware_host_vmkernel_inventory' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_host_vmkernel_inventory.csv'


Data Model
Column Data Type Detected Content Type Sample Value
cluster TEXT acme-cluster-01
collection_timestamp NUMERIC Timestamp (unit=ms) 1652391103918
datacenter TEXT acme-datacenter
device TEXT vmk0
dvPort_connectionCookie NUMERIC Timestamp (unit=s) 802328591.0
dvPort_portKey NUMERIC Numerical 1003.0
dvPort_portgroup TEXT NFS-10G-VLAN-1011
dvPort_switchUuid TEXT 50 2a 06 40 e5 6b e5 80-59 d4 46 89 7c c8 b3 7a
faultToleranceLogging TEXT Disabled
host TEXT 192.168.131.63
ipaddress TEXT 192.168.131.63
key TEXT key-vim.host.VirtualNic-vmk0
mac TEXT 60:73:5c:69:8a:e2
management TEXT Enabled
mtu NUMERIC Numerical 1500
port TEXT key-vim.host.PortGroup.Port-33554436
portgroup TEXT Management Network
subnetMask TEXT 255.255.255.0
vSphereProvisioning TEXT Disabled
vSphereReplication TEXT Disabled
vSphereReplicationNFC TEXT Disabled
vcenter_address TEXT 192.168.125.61
vmotion TEXT Disabled
vsan TEXT Disabled
vsanWitness TEXT Disabled




Dataset: demo_vmware_storage_inventory

This Dataset has 37 Rows and 122 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_storage_inventory.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='demo_vmware_storage_inventory'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_storage_inventory.csv'
       --> @dm:save
             name = 'demo_vmware_storage_inventory'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'demo_vmware_storage_inventory' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_storage_inventory.csv'


Data Model
Column Data Type Detected Content Type Sample Value
authenticationCapabilities_chapAuthSettable TEXT Numerical True
authenticationCapabilities_krb5AuthSettable TEXT Numerical False
authenticationCapabilities_mutualChapSettable TEXT Numerical True
authenticationCapabilities_spkmAuthSettable TEXT Numerical False
authenticationCapabilities_srpAuthSettable TEXT Numerical False
authenticationCapabilities_targetChapSettable TEXT Numerical True
authenticationCapabilities_targetMutualChapSettable TEXT Numerical True
authenticationProperties_chapAuthEnabled TEXT Numerical False
authenticationProperties_chapAuthenticationType TEXT chapProhibited
authenticationProperties_chapInherited NUMERIC None
authenticationProperties_chapName NUMERIC None
authenticationProperties_chapSecret TEXT XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
authenticationProperties_mutualChapAuthenticationType TEXT chapProhibited
authenticationProperties_mutualChapInherited NUMERIC None
authenticationProperties_mutualChapName NUMERIC None
authenticationProperties_mutualChapSecret TEXT XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
bus NUMERIC Numerical 13
canBeDisabled TEXT Numerical True
cluster TEXT acme-cluster-01
collection_timestamp NUMERIC Timestamp (unit=ms) 1652391097175
currentSpeedMb NUMERIC None
datacenter TEXT acme-datacenter
device TEXT vmhba0
digestCapabilities_dataDigestSettable TEXT Numerical True
digestCapabilities_headerDigestSettable TEXT Numerical True
digestCapabilities_targetDataDigestSettable TEXT Numerical True
digestCapabilities_targetHeaderDigestSettable TEXT Numerical True
digestProperties_dataDigestInherited NUMERIC None
digestProperties_dataDigestType TEXT digestProhibited
digestProperties_headerDigestInherited NUMERIC None
digestProperties_headerDigestType TEXT digestProhibited
discoveryCapabilities_iSnsDiscoverySettable TEXT Numerical False
discoveryCapabilities_sendTargetsDiscoverySettable TEXT Numerical False
discoveryCapabilities_slpDiscoverySettable TEXT Numerical False
discoveryCapabilities_staticTargetDiscoverySettable TEXT Numerical False
discoveryProperties_iSnsDiscoveryEnabled TEXT Numerical False
discoveryProperties_iSnsDiscoveryMethod NUMERIC None
discoveryProperties_iSnsHost NUMERIC None
discoveryProperties_sendTargetsDiscoveryEnabled TEXT Numerical True
discoveryProperties_slpDiscoveryEnabled TEXT Numerical False
discoveryProperties_slpDiscoveryMethod NUMERIC None
discoveryProperties_slpHost NUMERIC None
discoveryProperties_staticTargetDiscoveryEnabled TEXT Numerical True
driver TEXT nfnic
host TEXT 192.168.131.63
iScsiAlias NUMERIC None
iScsiName TEXT iqn.1998-01.com.vmware:milesxi-dr-03-7e533cd0
ipCapabilities_addressSettable TEXT Numerical False
ipCapabilities_alternateDnsServerAddressSettable TEXT Numerical False
ipCapabilities_arpRedirectSettable TEXT Numerical False
ipCapabilities_defaultGatewaySettable TEXT Numerical False
ipCapabilities_hostNameAsTargetAddress TEXT Numerical True
ipCapabilities_ipConfigurationMethodSettable TEXT Numerical False
ipCapabilities_ipv4EnableSettable TEXT Numerical False
ipCapabilities_ipv6DefaultGatewaySettable TEXT Numerical False
ipCapabilities_ipv6DhcpConfigurationSettable TEXT Numerical False
ipCapabilities_ipv6EnableSettable TEXT Numerical False
ipCapabilities_ipv6LinkLocalAutoConfigurationSettable TEXT Numerical False
ipCapabilities_ipv6MaxStaticAddressesSupported NUMERIC Numerical 0.0
ipCapabilities_ipv6PrefixLength NUMERIC Numerical 0.0
ipCapabilities_ipv6PrefixLengthSettable TEXT Numerical False
ipCapabilities_ipv6RouterAdvertisementConfigurationSettable TEXT Numerical False
ipCapabilities_ipv6Supported TEXT Numerical False
ipCapabilities_mtuSettable TEXT Numerical False
ipCapabilities_nameAliasSettable TEXT Numerical True
ipCapabilities_primaryDnsServerAddressSettable TEXT Numerical False
ipCapabilities_subnetMaskSettable TEXT Numerical False
ipProperties_address NUMERIC None
ipProperties_alternateDnsServerAddress NUMERIC None
ipProperties_arpRedirectEnabled NUMERIC None
ipProperties_defaultGateway NUMERIC None
ipProperties_dhcpConfigurationEnabled TEXT Numerical False
ipProperties_ipv4Enabled NUMERIC None
ipProperties_ipv6Address NUMERIC None
ipProperties_ipv6DefaultGateway NUMERIC None
ipProperties_ipv6Enabled NUMERIC None
ipProperties_ipv6SubnetMask NUMERIC None
ipProperties_ipv6properties NUMERIC None
ipProperties_jumboFramesEnabled NUMERIC None
ipProperties_mac NUMERIC None
ipProperties_mtu NUMERIC None
ipProperties_primaryDnsServerAddress NUMERIC None
ipProperties_subnetMask NUMERIC None
isSoftwareBased TEXT Numerical True
key TEXT key-vim.host.FibreChannelHba-vmhba0
maxSpeedMb NUMERIC None
model TEXT Cisco VIC FCoE HBA Driver
networkBindingSupport TEXT optional
nodeWorldWideName TEXT 10:00:fc:5b:39:5b:5f:65
path_adapter TEXT key-vim.host.FibreChannelHba-vmhba0
path_canonicalName TEXT naa.60a980003754354336244f5531446d50
path_devicePath TEXT /vmfs/devices/disks/naa.60a980003754354336244f5531446d50
path_displayName TEXT NETAPP Fibre Channel Disk (naa.60a980003754354336244f5531446d50)
path_isWorkingPath TEXT Numerical True
path_key TEXT key-vim.host.MultipathInfo.Path-vmhba0:C0:T1:L1
path_localDisk TEXT Numerical False
path_lun TEXT key-vim.host.MultipathInfo.LogicalUnit-020001000060a980003754354336244f5531446d504c554e202020
path_lunType TEXT disk
path_model TEXT LUN
path_name TEXT vmhba0:C0:T1:L1
path_operationalState TEXT ok
path_pathState TEXT active
path_revision TEXT Numerical 820a
path_scsiDiskType TEXT emulated512
path_scsiLevel NUMERIC Numerical 5.0
path_serialNumber TEXT unavailable
path_ssd TEXT Numerical False
path_state TEXT active
path_transport_address TEXT 192.168.101.102:3260
path_transport_iScsiAlias NUMERIC None
path_transport_iScsiName TEXT iqn.1992-08.com.netapp:sn.1575046424
path_transport_nodeWorldWideName TEXT 50:0a:09:80:8d:50:b6:fa
path_transport_portWorldWideName TEXT 50:0a:09:81:8d:50:b6:fa
path_uuid TEXT 020001000060a980003754354336244f5531446d504c554e202020
path_vendor TEXT NETAPP
pci TEXT 0000:0d:00.0
portType TEXT unknown
portWorldWideName TEXT 20:00:fc:5b:39:5b:5f:65
speed NUMERIC Numerical 8.0
status TEXT online
storageProtocol NUMERIC None
vcenter_address TEXT 192.168.125.61




Dataset: demo_vmware_vm_inventory

This Dataset has 1,415 Rows and 76 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_vm_inventory.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='demo_vmware_vm_inventory'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_vm_inventory.csv'
       --> @dm:save
             name = 'demo_vmware_vm_inventory'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'demo_vmware_vm_inventory' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_vm_inventory.csv'


Data Model
Column Data Type Detected Content Type Sample Value
cluster TEXT acme-cluster-01
collection_timestamp NUMERIC Timestamp (unit=ms) 1650000000000.0
cpuHotAddEnabled TEXT Numerical False
cpuHotRemoveEnabled TEXT Numerical False
cpuReservation_MHz NUMERIC Numerical 0
cpu_usage_MHz NUMERIC Numerical 0
cpuoverheadlimit_MHz NUMERIC None
cpureservationlimit_MHz NUMERIC Numerical -1
cpushares NUMERIC Numerical 8000
createDate TEXT 2021-02-24T05:17:42.268Z
datacenter TEXT acme-datacenter
disk_backing_file TEXT [netapp-pm-nfs-10g-01] acme-s-demo-svc01/acme-s-demo-svc01.vmdk
disk_bus_num NUMERIC Numerical 1
disk_capacity_Bytes NUMERIC Numerical 53687091200.0
disk_capacity_KB NUMERIC Numerical 52428800
disk_compatibilityMode TEXT physicalMode
disk_controller TEXT SCSI controller 1
disk_controller_type TEXT VMware paravirtual SCSI
disk_datastore TEXT netapp-pm-nfs-10g-01
disk_diskMode TEXT persistent
disk_eagerlyScrub TEXT Numerical True
disk_label TEXT Hard disk 1
disk_lunUuid TEXT 020001000060a980003754354336244f5531446d504c554e202020
disk_scsi_controller_unit_num NUMERIC Numerical 7
disk_split TEXT Numerical False
disk_thinProvisioned TEXT Numerical True
disk_unit_num NUMERIC Numerical 0
disk_writeThrough TEXT Numerical False
guest TEXT Red Hat Enterprise Linux 7 (64-bit)
guestid TEXT rhel7_64Guest
host TEXT 192.168.131.64
host_id TEXT 3841852f-ebe9-da47-b469-3fed10d8c7ee
id TEXT 422a1198-86b2-5fd3-f62a-1baf5b2aeeb3
ipAddress TEXT 192.168.133.87
managedby NUMERIC None
maxCpuUsage_MHz NUMERIC Numerical 11196.0
maxMemoryUsage_MB NUMERIC Numerical 16384.0
mem_res_MB NUMERIC Numerical 0
mem_usage_guest_MB NUMERIC Numerical 0
mem_usage_host_MB NUMERIC Numerical 0
memoryHotAddEnabled TEXT Numerical False
memoryReservation_MB NUMERIC Numerical 0
memoryReservationlimit_MB NUMERIC Numerical -1
memorySizeMB NUMERIC Numerical 32768
memoryoverheadlimit_MB NUMERIC Numerical 151.0
memoryshares NUMERIC Numerical 327680
memsize_MB NUMERIC Numerical 32768
name TEXT acme-s-demo-svc01
network TEXT ACME-PM-VMs-192.168.131.X
numCpu NUMERIC Numerical 8
numEthernetCards NUMERIC Numerical 1
numVirtualDisks NUMERIC Numerical 3
numVmiopBackings NUMERIC Numerical 0.0
numcorespersocket NUMERIC Numerical 8
numsockets NUMERIC Numerical 1
path TEXT [netapp-pm-nfs-10g-01] acme-s-demo-svc01/acme-s-demo-svc01.vmx
paused TEXT Numerical False
powerState TEXT poweredOff
resourcePool TEXT ACME-Stable-Demo
storage_committed NUMERIC Numerical 83943365080.0
storage_name TEXT netapp-pm-nfs-10g-01
storage_uncommitted NUMERIC Numerical 139000000000.0
storage_unshared NUMERIC Numerical 83942659729.0
storage_url TEXT ds:///vmfs/volumes/dcc7386e-67893a84/
template TEXT Numerical False
toolsRunningStatus TEXT guestToolsNotRunning
toolsVersion NUMERIC None
toolsVersionStatus2 TEXT guestToolsUnmanaged
vcenter_address TEXT 192.168.125.61
version TEXT vmx-11
vm_controllers NUMERIC None
vm_id TEXT vm-822
vm_nic_connected TEXT Numerical False
vm_nic_ipaddresses TEXT 192.168.133.87, fe80::c4d4:583e:4e04:fc59, fe80::2e82:4be4:2043:4841, fe80::a088:f3f3:ee19:32e
vm_nic_macAddress TEXT 00:50:56:aa:33:ab
vm_nic_network TEXT 50 2a 06 40 e5 6b e5 80-59 d4 46 89 7c c8 b3 7a




Dataset: demo_vmware_vswitch_inventory

This Dataset has 107 Rows and 63 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_vswitch_inventory.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='demo_vmware_vswitch_inventory'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_vswitch_inventory.csv'
       --> @dm:save
             name = 'demo_vmware_vswitch_inventory'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'demo_vmware_vswitch_inventory' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/demo_vmware_vswitch_inventory.csv'


Data Model
Column Data Type Detected Content Type Sample Value
cdp_address TEXT 192.168.2.250
cdp_devId TEXT c2960-s.acme.local
cdp_hardwarePlatform TEXT cisco WS-C2960S-48LPD-L
cdp_mgmtAddr TEXT 192.168.2.250
cdp_mtu NUMERIC Numerical 0
cdp_portId TEXT GigabitEthernet1/0/17
cdp_version NUMERIC Numerical 2
cluster_name TEXT acme-cluster-01
collection_timestamp NUMERIC Timestamp (unit=ms) 1652391093875
datacenter_name TEXT acme-datacenter
failurecriteria_checkBeacon TEXT Numerical False
failurecriteria_checkDuplex TEXT Numerical False
failurecriteria_checkErrorPercent TEXT Numerical False
failurecriteria_checkSpeed TEXT minimum
failurecriteria_fullDuplex TEXT Numerical False
failurecriteria_percentage NUMERIC Numerical 0.0
failurecriteria_speed NUMERIC Numerical 10.0
host_id TEXT dd833ac5-70e1-5b4f-af91-ea3f5065ae64
host_name TEXT 192.168.131.63
lacp_loadbalanceAlgorithm TEXT srcDestIpTcpUdpPortVlan
lacp_mode TEXT active
lacp_name TEXT LACP01
lacp_uplinkNum NUMERIC Numerical 2.0
lacp_uplinks TEXT LACP01-0,LACP01-1
lacp_vlan NUMERIC None
lldp_chassisId NUMERIC None
lldp_portId NUMERIC None
lldp_timeToLive(seconds) NUMERIC Numerical 0.0
mtu NUMERIC Numerical 1500
nicOrder_activeNic TEXT vmnic0
nicOrder_standbyNic NUMERIC None
nicTeaming_notifySwitches TEXT Numerical True
nicTeaming_policy TEXT loadbalance_srcid
nicTeaming_reversePolicy TEXT Numerical True
nicTeaming_rollingOrder TEXT Numerical False
numPorts NUMERIC Numerical 7936
numPortsAvailable NUMERIC Numerical 7875.0
numStandalonePorts NUMERIC Numerical 0.0
offloadPolicy_checksumOffload TEXT Numerical True
offloadPolicy_tcpSegmentation TEXT Numerical True
offloadPolicy_zeroCopyXmit TEXT Numerical True
pnic TEXT vmnic0
pnic_capacity_ratio_for_reservation NUMERIC Numerical 75.0
portgroup TEXT VM Network
portgroup_blocked TEXT Numerical False
securityPolicy_allowPromiscuous TEXT Numerical False
securityPolicy_forgedTransmits TEXT Numerical True
securityPolicy_macChanges TEXT Numerical True
shapingPolicy_averageBandwidth NUMERIC None
shapingPolicy_burstSize NUMERIC None
shapingPolicy_enabled TEXT Numerical False
shapingPolicy_peakBandwidth NUMERIC None
type TEXT Standard
uplinks TEXT ACME-Prod-DR-dvSw-DVUplinks-40
vcenter_address TEXT 192.168.125.61
vlanId NUMERIC Numerical 0.0
vswitch_alarms NUMERIC None
vswitch_name TEXT vSwitch0
vswitch_network_io_control_enabled TEXT Numerical True
vswitch_product_fwd_class TEXT etherswitch
vswitch_product_name TEXT DVS
vswitch_product_vendor TEXT VMware, Inc.
vswitch_product_version TEXT datetimestr 6.5.0




Dataset: imdb-10K-sentimnets-reviews

This Dataset has 10,000 Rows and 2 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/imdb-10K-sentimnets-reviews.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='imdb-10K-sentimnets-reviews'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/imdb-10K-sentimnets-reviews.csv'
       --> @dm:save
             name = 'imdb-10K-sentimnets-reviews'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'imdb-10K-sentimnets-reviews' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/imdb-10K-sentimnets-reviews.csv'


Data Model
Column Data Type Detected Content Type Sample Value
review TEXT Okay, I know this does'nt project India in a good light. But the overall theme of the movie is not India, it's Shakti. The power of a warlord, and the power of a mother. The relationship between Nandini and her husband and son swallow you up in their warmth. Then things go terribly wrong. The interaction between Nandini and her father in law - the power of their dysfunctional relationship - and the lives changed by it are the strengths of this movie. Shah Rukh Khan's performance seems to be a mere cameo compared to the believable desperation of Karisma Kapoor. It is easy to get caught up in the love, violence and redemption of lives in this film, and find yourself heaving a sigh of relief and sadness at the climax. The musical interludes are strengths, believable and well done.
sentiment NUMERIC Numerical 1




Dataset: incidents-for-analysis

This Dataset has 684 Rows and 11 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/incidents-for-analysis.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='incidents-for-analysis'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/incidents-for-analysis.csv'
       --> @dm:save
             name = 'incidents-for-analysis'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'incidents-for-analysis' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/incidents-for-analysis.csv'


Data Model
Column Data Type Detected Content Type Sample Value
Unnamed: 0.1 NUMERIC Numerical 0
Ticket
Number
TEXT INC0401467
Priority TEXT Priority 3
Create
Timestamp
TEXT datetimestr 2021-10-01 04:28:00
Resolved
Timestamp
TEXT datetimestr 2021-10-01 04:49:49
Duration
(Hours)
TEXT =(D2-C2)*24
Summary TEXT Cannot create cure batches for D-Line of presses
Resolved By TEXT Naresh Chintakindi
Resolution Code TEXT Data Error
Resolution Notes TEXT Updated the D line records
created TEXT datetimestr 2021-10-01 04:28:00

Pipelines using this Dataset




Dataset: pagerduty-priority-enrichment-dict

This Dataset has 5 Rows and 3 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/pagerduty-priority-enrichment-dict.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='pagerduty-priority-enrichment-dict'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/pagerduty-priority-enrichment-dict.csv'
       --> @dm:save
             name = 'pagerduty-priority-enrichment-dict'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'pagerduty-priority-enrichment-dict' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/pagerduty-priority-enrichment-dict.csv'


Data Model
Column Data Type Detected Content Type Sample Value
priority_id TEXT PLSZKS5
rule TEXT priority starts with '1 - Critical'
rule_id TEXT A1000

Pipelines using this Dataset




Dataset: pagerduty-svc-enrichment-dict

This Dataset has 1 Row and 3 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/pagerduty-svc-enrichment-dict.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='pagerduty-svc-enrichment-dict'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/pagerduty-svc-enrichment-dict.csv'
       --> @dm:save
             name = 'pagerduty-svc-enrichment-dict'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'pagerduty-svc-enrichment-dict' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/pagerduty-svc-enrichment-dict.csv'


Data Model
Column Data Type Detected Content Type Sample Value
rule TEXT *
rule_id TEXT A1000
service_id TEXT P8T85J9

Pipelines using this Dataset




Dataset: pagerduty-urgency-enrichment-dict

This Dataset has 3 Rows and 3 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/pagerduty-urgency-enrichment-dict.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='pagerduty-urgency-enrichment-dict'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/pagerduty-urgency-enrichment-dict.csv'
       --> @dm:save
             name = 'pagerduty-urgency-enrichment-dict'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'pagerduty-urgency-enrichment-dict' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/pagerduty-urgency-enrichment-dict.csv'


Data Model
Column Data Type Detected Content Type Sample Value
rule TEXT urgency starts with '1 - High'
rule_id TEXT A1000
urgency_id TEXT high

Pipelines using this Dataset




Dataset: petclinic-env-dict

This Dataset has 6 Rows and 3 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/petclinic-env-dict.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='petclinic-env-dict'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/petclinic-env-dict.csv'
       --> @dm:save
             name = 'petclinic-env-dict'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'petclinic-env-dict' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/petclinic-env-dict.csv'


Data Model
Column Data Type Detected Content Type Sample Value
env TEXT DEV
rule TEXT rda_gw_client_ip is '10.95.131.101'
rule_id TEXT A1000

Pipelines using this Dataset




Dataset: sample-aws-vms

This Dataset has 66 Rows and 13 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-aws-vms.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='sample-aws-vms'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-aws-vms.csv'
       --> @dm:save
             name = 'sample-aws-vms'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'sample-aws-vms' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/sample-aws-vms.csv'


Data Model
Column Data Type Detected Content Type Sample Value
CpuOptions_CoreCount NUMERIC Numerical 1
CpuOptions_ThreadsPerCore NUMERIC Numerical 1
EbsOptimized TEXT Numerical False
Hypervisor TEXT xen
InstanceType TEXT t2.micro
LaunchTime TEXT datetimestr 2021-05-28T06:01:39+00:00
Placement_AvailabilityZone TEXT ap-south-1a
RootDeviceName TEXT /dev/sda1
RootDeviceType TEXT ebs
State_Code NUMERIC Numerical 16
State_Name TEXT running
PrivateIpAddress TEXT 172.161.219.166
InstanceId TEXT i-47096706649059456

Pipelines using this Dataset




Dataset: sample-classify-predict

This Dataset has 277 Rows and 11 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-classify-predict.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='sample-classify-predict'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-classify-predict.csv'
       --> @dm:save
             name = 'sample-classify-predict'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'sample-classify-predict' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/sample-classify-predict.csv'


Data Model
Column Data Type Detected Content Type Sample Value
Summary TEXT PrepaidQE | QuickOpenClose | QLAB03 | Not getting Store Capability IS_DSKT_TILL_PILOT as N
Issue key TEXT COCIDG2-2233
Issue id NUMERIC Numerical 445204.0
Issue Type TEXT Bug
Status TEXT Closed
Project type TEXT software
Priority TEXT Medium
Resolution TEXT Done
Creator TEXT RZaveri@ACME123.org
Created TEXT datetimestr 2020-04-03 08:07:00
Updated TEXT datetimestr 2020-04-11 05:02:00




Dataset: sample-classify-train

This Dataset has 6,400 Rows and 11 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-classify-train.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='sample-classify-train'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-classify-train.csv'
       --> @dm:save
             name = 'sample-classify-train'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'sample-classify-train' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/sample-classify-train.csv'


Data Model
Column Data Type Detected Content Type Sample Value
Summary TEXT FACT_MultiPromoP2_FO || SAP || Transaction is not reaching SAP
Issue key TEXT BISFTT2-5356
Issue id TEXT Numerical 748516
Issue Type TEXT Bug
Status TEXT Closed
Project type TEXT software
Priority TEXT Blocker
Resolution TEXT Canceled
Creator TEXT AChawla3@ACME123.org
Created TEXT datetimestr 2020-07-27 21:12:00
Updated TEXT datetimestr 2020-08-22 04:20:00




Dataset: sample-cluster-predict

This Dataset has 998 Rows and 2 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-cluster-predict.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='sample-cluster-predict'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-cluster-predict.csv'
       --> @dm:save
             name = 'sample-cluster-predict'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'sample-cluster-predict' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/sample-cluster-predict.csv'


Data Model
Column Data Type Detected Content Type Sample Value
id TEXT 26348437-eabb-4e10-abbc-668d9c4d238a
message TEXT Failed to send set_hub to spooler (communication error)




Dataset: sample-cluster-train

This Dataset has 9,000 Rows and 2 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-cluster-train.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='sample-cluster-train'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-cluster-train.csv'
       --> @dm:save
             name = 'sample-cluster-train'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'sample-cluster-train' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/sample-cluster-train.csv'


Data Model
Column Data Type Detected Content Type Sample Value
id TEXT 90acd4d4-5b7d-41ec-961a-d83adad83f8d
message TEXT NTP is not configured




Dataset: sample-ecommerce-data

This Dataset has 4,675 Rows and 31 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-ecommerce-data.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='sample-ecommerce-data'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-ecommerce-data.csv'
       --> @dm:save
             name = 'sample-ecommerce-data'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'sample-ecommerce-data' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/sample-ecommerce-data.csv'


Data Model
Column Data Type Detected Content Type Sample Value
_id TEXT --RJgHgBjfKVps-9kmsD
_index TEXT kibana_sample_data_ecommerce
_type TEXT _doc
category TEXT ["Women's Clothing", "Women's Accessories"]
currency TEXT EUR
customer_first_name TEXT Elyssa
customer_full_name TEXT Elyssa Stokes
customer_gender TEXT FEMALE
customer_id NUMERIC Numerical 27
customer_last_name TEXT Stokes
customer_phone NUMERIC None
day_of_week TEXT Monday
day_of_week_i NUMERIC Numerical 0
email TEXT elyssa@stokes-family.zzz
geoip.city_name TEXT New York
geoip.continent_name TEXT North America
geoip.country_iso_code TEXT US
geoip.location.lat NUMERIC Numerical 40.8
geoip.location.lon NUMERIC Numerical -74.0
geoip.region_name TEXT New York
manufacturer TEXT ['Pyramidustries', 'Tigress Enterprises', 'Gnomehouse']
order_date TEXT datetimestr 2021-04-05T22:19:12+00:00
order_id NUMERIC Numerical 732884
products TEXT [{"base_price": 28.99, "discount_percentage": 0, "quantity": 1, "manufacturer": "Pyramidustries", "tax_amount": 0, "product_id": 16889, "category": "Women's Clothing", "sku": "ZO0177101771", "taxless_price": 28.99, "unit_discount_amount": 0, "min_price": 15.36, "_id": "sold_product_732884_16889", "discount_amount": 0, "created_on": "2016-12-19T22:19:12+00:00", "product_name": "Jumper - rose", "price": 28.99, "taxful_price": 28.99, "base_unit_price": 28.99}, {"base_price": 32.99, "discount_percentage": 0, "quantity": 1, "manufacturer": "Tigress Enterprises", "tax_amount": 0, "product_id": 24253, "category": "Women's Clothing", "sku": "ZO0071100711", "taxless_price": 32.99, "unit_discount_amount": 0, "min_price": 15.18, "_id": "sold_product_732884_24253", "discount_amount": 0, "created_on": "2016-12-19T22:19:12+00:00", "product_name": "Cardigan - grey multicolor", "price": 32.99, "taxful_price": 32.99, "base_unit_price": 32.99}, {"base_price": 30.99, "discount_percentage": 0, "quantity": 1, "manufacturer": "Pyramidustries", "tax_amount": 0, "product_id": 16894, "category": "Women's Accessories", "sku": "ZO0211402114", "taxless_price": 30.99, "unit_discount_amount": 0, "min_price": 14.88, "_id": "sold_product_732884_16894", "discount_amount": 0, "created_on": "2016-12-19T22:19:12+00:00", "product_name": "Across body bag - cognac", "price": 30.99, "taxful_price": 30.99, "base_unit_price": 30.99}, {"base_price": 36.99, "discount_percentage": 0, "quantity": 1, "manufacturer": "Gnomehouse", "tax_amount": 0, "product_id": 19778, "category": "Women's Clothing", "sku": "ZO0347503475", "taxless_price": 36.99, "unit_discount_amount": 0, "min_price": 17.02, "_id": "sold_product_732884_19778", "discount_amount": 0, "created_on": "2016-12-19T22:19:12+00:00", "product_name": "Blouse - navy blazer", "price": 36.99, "taxful_price": 36.99, "base_unit_price": 36.99}]
sku TEXT ['ZO0177101771', 'ZO0071100711', 'ZO0211402114', 'ZO0347503475']
taxful_total_price NUMERIC Numerical 129.96
taxless_total_price NUMERIC Numerical 129.96
total_quantity NUMERIC Numerical 4
total_unique_products NUMERIC Numerical 4
type TEXT order
user TEXT elyssa

Pipelines using this Dataset




Dataset: sample-ecommerce-data-with-pii

This Dataset has 4,675 Rows and 32 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-ecommerce-data-with-pii.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='sample-ecommerce-data-with-pii'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-ecommerce-data-with-pii.csv'
       --> @dm:save
             name = 'sample-ecommerce-data-with-pii'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'sample-ecommerce-data-with-pii' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/sample-ecommerce-data-with-pii.csv'


Data Model
Column Data Type Detected Content Type Sample Value
_id TEXT --RJgHgBjfKVps-9kmsD
_index TEXT kibana_sample_data_ecommerce
_type TEXT _doc
category TEXT ["Women's Clothing", "Women's Accessories"]
currency TEXT EUR
customer_first_name TEXT Elyssa
customer_full_name TEXT Elyssa Stokes
customer_gender TEXT FEMALE
customer_id NUMERIC Numerical 27
customer_last_name TEXT Stokes
customer_phone NUMERIC None
day_of_week TEXT Monday
day_of_week_i NUMERIC Numerical 0
email TEXT elyssa@stokes-family.zzz
geoip.city_name TEXT New York
geoip.continent_name TEXT North America
geoip.country_iso_code TEXT US
geoip.location.lat NUMERIC Numerical 40.8
geoip.location.lon NUMERIC Numerical -74.0
geoip.region_name TEXT New York
manufacturer TEXT ['Pyramidustries', 'Tigress Enterprises', 'Gnomehouse']
order_date TEXT datetimestr 2021-04-05T22:19:12+00:00
order_id NUMERIC Numerical 732884
products TEXT [{"base_price": 28.99, "discount_percentage": 0, "quantity": 1, "manufacturer": "Pyramidustries", "tax_amount": 0, "product_id": 16889, "category": "Women's Clothing", "sku": "ZO0177101771", "taxless_price": 28.99, "unit_discount_amount": 0, "min_price": 15.36, "_id": "sold_product_732884_16889", "discount_amount": 0, "created_on": "2016-12-19T22:19:12+00:00", "product_name": "Jumper - rose", "price": 28.99, "taxful_price": 28.99, "base_unit_price": 28.99}, {"base_price": 32.99, "discount_percentage": 0, "quantity": 1, "manufacturer": "Tigress Enterprises", "tax_amount": 0, "product_id": 24253, "category": "Women's Clothing", "sku": "ZO0071100711", "taxless_price": 32.99, "unit_discount_amount": 0, "min_price": 15.18, "_id": "sold_product_732884_24253", "discount_amount": 0, "created_on": "2016-12-19T22:19:12+00:00", "product_name": "Cardigan - grey multicolor", "price": 32.99, "taxful_price": 32.99, "base_unit_price": 32.99}, {"base_price": 30.99, "discount_percentage": 0, "quantity": 1, "manufacturer": "Pyramidustries", "tax_amount": 0, "product_id": 16894, "category": "Women's Accessories", "sku": "ZO0211402114", "taxless_price": 30.99, "unit_discount_amount": 0, "min_price": 14.88, "_id": "sold_product_732884_16894", "discount_amount": 0, "created_on": "2016-12-19T22:19:12+00:00", "product_name": "Across body bag - cognac", "price": 30.99, "taxful_price": 30.99, "base_unit_price": 30.99}, {"base_price": 36.99, "discount_percentage": 0, "quantity": 1, "manufacturer": "Gnomehouse", "tax_amount": 0, "product_id": 19778, "category": "Women's Clothing", "sku": "ZO0347503475", "taxless_price": 36.99, "unit_discount_amount": 0, "min_price": 17.02, "_id": "sold_product_732884_19778", "discount_amount": 0, "created_on": "2016-12-19T22:19:12+00:00", "product_name": "Blouse - navy blazer", "price": 36.99, "taxful_price": 36.99, "base_unit_price": 36.99}]
sku TEXT ['ZO0177101771', 'ZO0071100711', 'ZO0211402114', 'ZO0347503475']
taxful_total_price NUMERIC Numerical 129.96
taxless_total_price NUMERIC Numerical 129.96
total_quantity NUMERIC Numerical 4
total_unique_products NUMERIC Numerical 4
type TEXT order
user TEXT elyssa
customer_ssn TEXT 634-14-2181




Dataset: sample-prometheus-timeseries-data

This Dataset has 5,763 Rows and 3 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-prometheus-timeseries-data.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='sample-prometheus-timeseries-data'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-prometheus-timeseries-data.csv'
       --> @dm:save
             name = 'sample-prometheus-timeseries-data'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'sample-prometheus-timeseries-data' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/sample-prometheus-timeseries-data.csv'


Data Model
Column Data Type Detected Content Type Sample Value
instance TEXT 10.95.125.90:9100
timestamp TEXT datetimestr 2022-02-19 14:38:45
value NUMERIC Numerical 2183816.0




Dataset: sample-servicenow-incidents

This Dataset has 66 Rows and 88 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-servicenow-incidents.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='sample-servicenow-incidents'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/sample-servicenow-incidents.csv'
       --> @dm:save
             name = 'sample-servicenow-incidents'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'sample-servicenow-incidents' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/sample-servicenow-incidents.csv'


Data Model
Column Data Type Detected Content Type Sample Value
active TEXT Numerical False
activity_due TEXT 2016-12-12 17:26:36
additional_assignee_list NUMERIC None
approval TEXT Not Yet Requested
approval_history NUMERIC None
approval_set NUMERIC None
assigned_to TEXT David Loo
assignment_group TEXT Network
business_duration TEXT 8 Hours
business_service TEXT Email
business_stc TEXT 28,800
calendar_duration TEXT 1 Day 4 Hours 23 Minutes
calendar_stc TEXT 102,197
caller_id TEXT Joe Employee
category TEXT Inquiry / Help
caused_by NUMERIC None
child_incidents NUMERIC Numerical 0.0
close_code TEXT Solved (Permanently)
close_notes TEXT This incident is resolved.
closed_at TEXT datetimestr 2016-12-13 18:46:44
closed_by TEXT Joe Employee
cmdb_ci TEXT Storage Area Network 001
comments TEXT 2016-12-13 12:30:14 - Joe Employee (Additional comments)
Hi David,
That must be it. I was on phone calls at all three of those times and must not have had any activity on my computer. Please close this incident.

2016-12-13 10:42:25 - David Loo (Additional comments)
Hi Joe,
I've checked in network logs and you were timed out from the VPN at 9:25AM, 10:42AM and 2:28PM. These three times coincide with entries in the exchange server logs showing you lost connection at those same times. The VPN policy is to time out a connection if it hasn't been active in 30 minutes. Please ensure the next time you lose connectivity you are still connected to the VPN.

I'm going to update this incident to resolved. Please let me know if you need any more assistance.

2016-12-13 07:53:01 - Joe Employee (Additional comments)
Hi David,
Thank you! I use the corporate VPN and was also unable to connect to the email server at 9:30AM and 10:45AM.

2016-12-13 06:43:17 - David Loo (Additional comments)
Hi Joe,
My name is David. I'll be assisting you with this incident. Can you confirm which VPN you have been using today? I also see you were having this issue at 2:30PM. Were there any other times you can recall you had issues connecting to the email?

2016-12-12 16:56:57 - Beth Anglin (Additional comments)
Hi Joe,
As per discussion on call, Workaround has been provided and it has worked for you. I have verified with the Exchange team we haven't had an issue with the email server today. I'm going to assign this issue to the network team for further investigation.

2016-12-12 12:43:50 - Joe Employee (Additional comments)
Hi Beth,
Yes, I'm connected to the VPN, although I've had to reconnect to it a couple of times. The last time I was unable to connect was 2:30PM.

2016-12-12 10:52:42 - Beth Anglin (Additional comments)
Hi Joe,
Are you connected to the VPN when you're having this issue? Can you identify a specific time you were unable to connect to email?

2016-12-12 08:30:49 - Beth Anglin (Additional comments)
Hi Joe,
My name is Beth and I'll be assisting you with your issue.

2016-12-12 07:19:57 - Joe Employee (Additional comments)
I am unable to connect to the email server. It appears to be down.

comments_and_work_notes TEXT 2016-12-13 12:30:14 - Joe Employee (Additional comments)
Hi David,
That must be it. I was on phone calls at all three of those times and must not have had any activity on my computer. Please close this incident.

2016-12-13 10:42:25 - David Loo (Additional comments)
Hi Joe,
I've checked in network logs and you were timed out from the VPN at 9:25AM, 10:42AM and 2:28PM. These three times coincide with entries in the exchange server logs showing you lost connection at those same times. The VPN policy is to time out a connection if it hasn't been active in 30 minutes. Please ensure the next time you lose connectivity you are still connected to the VPN.

I'm going to update this incident to resolved. Please let me know if you need any more assistance.

2016-12-13 07:53:01 - Joe Employee (Additional comments)
Hi David,
Thank you! I use the corporate VPN and was also unable to connect to the email server at 9:30AM and 10:45AM.

2016-12-13 06:43:17 - David Loo (Additional comments)
Hi Joe,
My name is David. I'll be assisting you with this incident. Can you confirm which VPN you have been using today? I also see you were having this issue at 2:30PM. Were there any other times you can recall you had issues connecting to the email?

2016-12-12 16:56:57 - Beth Anglin (Additional comments)
Hi Joe,
As per discussion on call, Workaround has been provided and it has worked for you. I have verified with the Exchange team we haven't had an issue with the email server today. I'm going to assign this issue to the network team for further investigation.

2016-12-12 16:56:57 - Beth Anglin (Work notes)
Updating priority as workaround for incident has been provided.

2016-12-12 12:43:50 - Joe Employee (Additional comments)
Hi Beth,
Yes, I'm connected to the VPN, although I've had to reconnect to it a couple of times. The last time I was unable to connect was 2:30PM.

2016-12-12 10:52:42 - Beth Anglin (Additional comments)
Hi Joe,
Are you connected to the VPN when you're having this issue? Can you identify a specific time you were unable to connect to email?

2016-12-12 09:57:00 - Beth Anglin (Work notes)
Increasing priority as this incident is affecting more number of users

2016-12-12 09:01:24 - Beth Anglin (Work notes)
Updating incident with correct Configuration item

2016-12-12 08:30:49 - Beth Anglin (Additional comments)
Hi Joe,
My name is Beth and I'll be assisting you with your issue.

2016-12-12 07:19:57 - Joe Employee (Additional comments)
I am unable to connect to the email server. It appears to be down.

company TEXT ACME North America
contact_type TEXT Self-service
contract NUMERIC None
correlation_display NUMERIC None
correlation_id NUMERIC None
delivery_plan NUMERIC None
delivery_task NUMERIC None
description TEXT I am unable to connect to the email server. It appears to be down.
due_date NUMERIC None
escalation TEXT Normal
expected_start NUMERIC None
follow_up NUMERIC None
group_list NUMERIC None
hold_reason TEXT Awaiting Caller
impact TEXT 2 - Medium
incident_state TEXT Closed
knowledge TEXT Numerical False
location TEXT San Diego
made_sla TEXT Numerical True
notify TEXT Do Not Notify
number TEXT INC0000060
opened_at TEXT datetimestr 2016-12-12 07:19:57
opened_by TEXT Joe Employee
order NUMERIC None
parent NUMERIC None
parent_incident TEXT INC0007001
priority TEXT 3 - Moderate
problem_id TEXT PRB0000008
reassignment_count NUMERIC Numerical 2.0
reopen_count NUMERIC Numerical 0.0
reopened_by NUMERIC None
reopened_time NUMERIC None
resolved_at TEXT datetimestr 2016-12-13 13:43:14
resolved_by TEXT David Loo
rfc NUMERIC None
route_reason NUMERIC None
service_offering NUMERIC None
severity TEXT 3 - Low
short_description TEXT Unable to connect to email
sla_due TEXT UNKNOWN
state TEXT Closed
subcategory TEXT Email
sys_class_name TEXT Incident
sys_created_by TEXT employee
sys_created_on TEXT datetimestr 2016-12-12 07:19:57
sys_domain TEXT global
sys_domain_path TEXT /
sys_id TEXT 1c741bd70b2322007518478d83673af3
sys_mod_count NUMERIC Numerical 15
sys_tags NUMERIC None
sys_updated_by TEXT employee
sys_updated_on TEXT datetimestr 2016-12-13 18:46:44
task_effective_number TEXT INC0000060
time_worked NUMERIC None
universal_request NUMERIC None
upon_approval TEXT Proceed to Next Task
upon_reject TEXT Cancel all future Tasks
urgency TEXT 2 - Medium
user_input NUMERIC None
watch_list NUMERIC None
work_end NUMERIC None
work_notes TEXT 2016-12-12 16:56:57 - Beth Anglin (Work notes)
Updating priority as workaround for incident has been provided.

2016-12-12 09:57:00 - Beth Anglin (Work notes)
Increasing priority as this incident is affecting more number of users

2016-12-12 09:01:24 - Beth Anglin (Work notes)
Updating incident with correct Configuration item

work_notes_list NUMERIC None
work_start NUMERIC None

Pipelines using this Dataset




Dataset: synthetic_syslogs_dataset

This Dataset has 10,000 Rows and 2 Columns

Download Data: CSV Format | Parquet Format

View Data: Table Format

To access the dataset in RDA pipeline without converting into a RDA Dataset, you can use this in your pipeline

  @files:loadfile
        filename = 'https://bot-docs.cloudfabrix.io/data/datasets/synthetic_syslogs_dataset.csv'

Following snippet can be used to load the data as a dataset in your RDA Fabric. Once data is loaded, you can simply use @dm:recall name='synthetic_syslogs_dataset'

1
2
3
4
@files:loadfile
            filename = 'https://bot-docs.cloudfabrix.io/data/datasets/synthetic_syslogs_dataset.csv'
       --> @dm:save
             name = 'synthetic_syslogs_dataset'
1
2
3
4
# See 'RDA CLI' guide for instructions to install RDA CLI Tool
python3 rdac.py dataset-add \
              --name 'synthetic_syslogs_dataset' \
              --file 'https://bot-docs.cloudfabrix.io/data/datasets/synthetic_syslogs_dataset.csv'


Data Model
Column Data Type Detected Content Type Sample Value
device TEXT 10.10.131.56
message TEXT %ETHPORT-5-IF_RX_FLOW_CONTROL: Interface Ethernet1/21, operational Receive Flow Control state changed to off

Pipelines using this Dataset