Splunk
The Splunk connector lets you perform insert, delete, update, and read operations on Splunk database.
Before you begin
Before using the Splunk connector, do the following tasks:
- In your Google Cloud project:
- Ensure that network connectivity is set up. For information about network patterns, see Network connectivity.
- Grant the roles/connectors.admin IAM role to the user configuring the connector.
- Grant the following IAM roles to the service account that you want to use for the connector:
roles/secretmanager.viewer
roles/secretmanager.secretAccessor
A service account is a special type of Google account intended to represent a non-human user that needs to authenticate and be authorized to access data in Google APIs. If you don't have a service account, you must create a service account. For more information, see Creating a service account.
- Enable the following services:
secretmanager.googleapis.com
(Secret Manager API)connectors.googleapis.com
(Connectors API)
To understand how to enable services, see Enabling services.
If these services or permissions have not been enabled for your project previously, you are prompted to enable them when configuring the connector.
Configure the connector
Configuring the connector requires you to create a connection to your data source (backend system). A connection is specific to a data source. It means that if you have many data sources, you must create a separate connection for each data source. To create a connection, do the following steps:
- In the Cloud console, go to the Integration Connectors > Connections page and then select or create a Google Cloud project.
- Click + CREATE NEW to open the Create Connection page.
- In the Location section, choose the location for the connection.
- Region: Select a location from the drop-down list.
For the list of all the supported regions, see Locations.
- Click NEXT.
- Region: Select a location from the drop-down list.
- In the Connection Details section, complete the following:
- Connector: Select Splunk from the drop down list of available Connectors.
- Connector version: Select the Connector version from the drop down list of available versions.
- In the Connection Name field, enter a name for the Connection instance.
Connection names must meet the following criteria:
- Connection names can use letters, numbers, or hyphens.
- Letters must be lower-case.
- Connection names must begin with a letter and end with a letter or number.
- Connection names cannot exceed 49 characters.
- Optionally, enter a Description for the connection instance.
- Optionally, enable Cloud logging,
and then select a log level. By default, the log level is set to
Error
. - Service Account: Select a service account that has the required roles.
- Optionally, configure the Connection node settings:
- Minimum number of nodes: Enter the minimum number of connection nodes.
- Maximum number of nodes: Enter the maximum number of connection nodes.
A node is a unit (or replica) of a connection that processes transactions. More nodes are required to process more transactions for a connection and conversely, fewer nodes are required to process fewer transactions. To understand how the nodes affect your connector pricing, see Pricing for connection nodes. If you don't enter any values, by default the minimum nodes are set to 2 (for better availability) and the maximum nodes are set to 50.
- Optionally, click + ADD LABEL to add a label to the Connection in the form of a key/value pair.
- Click NEXT.
- In the Destinations section, enter details of the remote host (backend system) you want to connect to.
- Destination Type: Select a Destination Type.
- Select Host address from the list to specify the hostname or IP address of the destination.
- If you want to establish a private connection to your backend systems, select Endpoint attachment from the list, and then select the required endpoint attachment from the Endpoint Attachment list.
If you want to establish a public connection to your backend systems with additional security, you can consider configuring static outbound IP addresses for your connections, and then configure your firewall rules to allowlist only the specific static IP addresses.
To enter additional destinations, click +ADD DESTINATION.
- Click NEXT.
- Destination Type: Select a Destination Type.
-
In the Authentication section, enter the authentication details.
- Select an Authentication type and enter the relevant details.
The following authentication types are supported by the Splunk connection:
- Username and password (Basic authentication)
- AccessToken
- HTTPEventCollectorToken
- Click NEXT.
To understand how to configure these authentication types, see Configure authentication.
- Select an Authentication type and enter the relevant details.
- Review: Review your connection and authentication details.
- Click Create.
Configure authentication
Enter the details based on the authentication you want to use.
-
Username and password
- Username: The Splunk username to use for the connection.
- Password: Secret Manager Secret containing the password associated with the Splunk username.
-
AccessToken - Set this to perform token based authentication by using
the
AccessToken
property. -
HTTPEventCollectorToken - Set this to perform token based authentication by using
the
HTTPEventCollectorToken
property.
Connection configuration samples
This section lists the sample values for the various fields that you configure when creating the Splunk connection.
HTTP Event collector connection type
Field name | Details |
---|---|
Location | us-central1 |
Connector | Splunk |
Connector version | 1 |
Connection Name | splunk-http-event-coll-conn |
Enable Cloud Logging | No |
Service Account | SERVICE_ACCOUNT_NAME@PROJECT_ID.iam.gserviceaccount.com |
Minimum number of nodes | 2 |
Maximum number of nodes | 50 |
Enable SSL | Yes |
Trust store Insecure Connection | Yes |
Destination Type(Server) | Host address |
Host address | 192.0.2.0 |
Port | PORT |
HTTP Event Collector Token based authentication | Yes |
HTTPEventCollectorToken | HTTPEVENTCOLLECTOR_TOKEN |
Secret version | 1 |
For information about how to create an HTTP event collector token, see Create an HTTP event collector.
SSL connection type
Field name | Details |
---|---|
Location | us-central1 |
Connector | Splunk |
Connector version | 1 |
Connection Name | splunk-ssl-connection |
Enable Cloud Logging | Yes |
Service Account | SERVICE_ACCOUNT_NAME@PROJECT_ID.iam.gserviceaccount.com |
Verbosity level | 5 |
Minimum number of nodes | 2 |
Maximum number of nodes | 50 |
Enable SSL | Yes |
Insecure Connection | Yes |
Destination Type(Server) | Host address |
Host address | https://192.0.2.0 |
Port | PORT |
User Password | Yes |
User Name | USER |
Password | PASSWORD |
Secret version | 1 |
For basic authentication, you must have the user role or power user role. For information about how to configure a power user, see Configure power user role. For information about defining roles in Splunk, see Define the Role on Splunk Platform.
Entities, operations, and actions
All the Integration Connectors provide a layer of abstraction for the objects of the connected application. You can access an application's objects only through this abstraction. The abstraction is exposed to you as entities, operations, and actions.
- Entity: An entity can be thought of as an object, or a collection of properties, in the
connected application or service. The definition of an entity differs from a connector to a
connector. For example, in a database connector, tables are the entities, in a
file server connector, folders are the entities, and in a messaging system connector,
queues are the entities.
However, it is possible that a connector doesn't support or have any entities, in which case the
Entities
list will be empty. - Operation: An operation is the activity that you can perform on an entity. You can perform
any of the following operations on an entity:
Selecting an entity from the available list, generates a list of operations available for the entity. For a detailed description of the operations, see the Connectors task's entity operations. However, if a connector doesn't support any of the entity operations, such unsupported operations aren't listed in the
Operations
list. - Action: An action is a first class function that is made available to the integration
through the connector interface. An action lets you make changes to an entity or entities, and
vary from connector to connector. Normally, an action will have some input parameters, and an output
parameter. However, it is possible
that a connector doesn't support any action, in which case the
Actions
list will be empty.
System limitations
The Splunk connector can process 5 transactions per second, per node, and throttles any transactions beyond this limit. However, the number transactions that this connector can process also depends on the constraints imposed by the Splunk instance. By default, Integration Connectors allocates 2 nodes (for better availability) for a connection.
For information on the limits applicable to Integration Connectors, see Limits.
Actions
This section lists the actions supported by the connector. To understand how to configure the actions, see Action examples.
CreateHTTPEvent action
This action lets you send data and application events to a Splunk deployment over the HTTP and HTTPS protocols.
Input parameters of the CreateHTTPEvent action
Parameter name | Data type | Required | Description |
---|---|---|---|
EventContent | String | Yes | The name of the table or view. |
ContentType | String | No | The type of content specified for the EventContent input. The supported
values are JSON and RAWTEXT . |
ChannelGUID | Integer | No | The GUID of the channel used for the event. You must specify this value
if the ContentType is RAWTEXT . |
Output parameters of the CreateHTTPEvent action
This action returns the success status of the created event.
CreateIndex action
This action lets you create indexes.
Input parameters of the CreateIndex action
Parameter name | Data type | Required | Description |
---|---|---|---|
MaxMetaEntries | String | No | Sets the maximum number of unique lines in .data files in a bucket, which may help to reduce memory consumption. |
FrozenTimePeriodInSecs | String | No | Number of seconds after which indexed data rolls to frozen. Defaults to 188697600 (6 years). |
HomePath | String | No | An absolute path that contains the hot and warm buckets for the index. | MinRawFileSyncSecs | String | No | Specify an integer (or disable ) for this parameter. This parameter sets
how frequently splunkd forces a filesystem sync while compressing journal slices. |
ProcessTrackerServiceInterval | String | No | Specifies, in seconds, how often the indexer checks the status of the child OS processes it launched to see if it can launch new processes for queued requests. If set to 0, the indexer checks child process status every second. | ServiceMetaPeriod | String | No | Defines how frequently (in seconds) metadata is synced to disk. | MaxHotSpanSecs | String | No | Upper bound of target maximum timespan (in seconds) of hot or warm buckets. | QuarantinePastSecs | String | No | Events with timestamp of quarantinePastSecs older than >now are dropped into quarantine bucket. |
ColdToFrozenDir | String | No | Destination path for the frozen archive. Use as an alternative to a ColdToFrozenScript. | ColdPath | String | No | An absolute path that contains the colddbs for the index. The path must be readable and writable. | MaxHotIdleSecs | String | No | Maximum life, in seconds, of a hot bucket | WarmToColdScript | String | No | Path to a script to run when moving data from warm to cold. | ColdToFrozenScript | String | No | Path to the archiving script. | MaxHotBuckets | String | No | Maximum hot buckets that can exist per index. | TstatsHomePath | String | No | Location to store datamodel acceleration TSIDX data for this index. If specified, it must be defined in terms of a volume definition. Path must be writable | RepFactor | String | No | Index replication control. This parameter applies to only peer-nodes in the cluster.
|
MaxDataSize | String | No | The maximum size in MB for a hot DB to reach before a roll to warm is triggered.
Specifying auto or auto_high_volume causes Splunk
to autotune this parameter (recommended). |
MaxBloomBackfillBucketAge | String | No | Valid values are: integer[m|s|h|d] if a warm or cold bucket is older than the specified age, don't create or rebuild its bloomfilter. Specify 0 to never rebuild bloomfilters. | BlockSignSize | String | No | Controls how many events make up a block for block signatures. If this is set to 0, block signing is disabled for this index. A recommended value is 100. | Name | String | Yes | The name of the index to create | MaxTotalDataSizeMB | String | No | The maximum size of an index (in MB). If an index grows larger than the maximum size, the oldest data is frozen. | MaxWarmDBCount | String | No | The maximum number of warm buckets. If this number is exceeded, the warm bucket(s) with the lowest value for their latest times is moved to cold. | RawChunkSizeBytes | String | No | Target uncompressed size in bytes for individual raw slice in the rawdata journal of the index. 0 is not a valid value. If 0 is specified, rawChunkSizeBytes is set to the default value. | DataType | String | No | Specifies the type of index | MaxConcurrentOptimizes | String | No | The number of concurrent optimize processes that can run against a hot bucket. | ThrottleCheckPeriod | String | No | Defines how frequently (in seconds) Splunk checks for index throttling condition. | SyncMeta | String | No | When true, a sync operation is called before file descriptor is closed on metadata file updates. This functionality improves integrity of metadata files, especially in regards to operating system crashes or machine failures. | RotatePeriodInSecs | String | No | How frequently (in seconds) to check if a new hot bucket needs to be created. Also, how frequently to check if there are any warm/cold buckets that should be rolled/frozen. |
Output parameters of the CreateIndex action
This action returns confirmation message of the CreateIndex action.
For example on how to configure the CreateIndex
action,
see Action examples.
CreateSavedSearch action
This action let you save your searches
Input parameters of the CreateSavedSearch action
Parameter name | Data type | Required | Description |
---|---|---|---|
IsVisible | Boolean | Yes | Indicates if this saved search appears in the visible saved search list. |
RealTimeSchedule | Boolean | Yes | If this value is set to 1, the scheduler bases its determination of the next scheduled search execution time on the current time. If this value is set to 0, it is determined based on the last search execution time. |
Search | String | Yes | The search query to save | Description | String | No | Description of this saved search | SchedulePriority | String | Yes | Indicates the scheduling priority of a specific search | CronSchedule | String | Yes | The cron schedule to execute this search. For example, */5 * * * *
causes the search to execute every 5 minutes. |
Name | String | Yes | A name for the search | UserContext | String | Yes | If user context is provided, servicesNS node is used
(/servicesNS/[UserContext]/search), else defaults to the general endpoint, /services . |
RunOnStartup | Boolean | Yes | Indicates whether this search runs on startup. If it does not run on startup, the search runs at the next scheduled time. | Disabled | Boolean | No | Indicates if this saved search is disabled. | IsScheduled | Boolean | Yes | Indicates if this search is to be run on a schedule. |
Output parameters of the CreateSavedSearch action
This action returns confirmation message of the CreateSavedSearch action.
For example on how to configure the CreateSavedSearch
action,
see Action examples.
UpdateSavedSearch action
This action lets you update a saved search.
Input parameters of the UpdateSavedSearch action
Parameter name | Data type | Required | Description |
---|---|---|---|
IsVisible | Boolean | Yes | Indicates if this saved search appears in the visible saved search list. |
RealTimeSchedule | Boolean | Yes | If this value is set to 1, the scheduler bases its determination of the next scheduled search execution time on the current time. If this value is set to 0, it is determined based on the last search execution time. |
Search | String | Yes | The search query to save | Description | String | No | Description of this saved search | SchedulePriority | String | Yes | Indicates the scheduling priority of a specific search | CronSchedule | String | Yes | The cron schedule to execute this search. For example, */5 * * * * causes the search to execute every 5 minutes. | Name | String | Yes | A name for the search | UserContext | String | Yes | If user context is provided, servicesNS node is used (/servicesNS/[UserContext]/search),
else, it defaults to the general endpoint, /services . |
RunOnStartup | Boolean | Yes | Indicates whether this search runs on startup. If it does not run on startup, the search runs at the next scheduled time. | Disabled | Boolean | No | Indicates if this saved search is disabled. | IsScheduled | Boolean | Yes | Indicates if this search is to be run on a schedule. |
Output parameters of the UpdateSavedSearch action
This action returns confirmation message of the UpdateSavedSearch action.
For example on how to configure the UpdateSavedSearch
action,
see Action examples.
DeleteIndex action
This action lets you delete an index.
Input parameters of the DeleteIndex action
Parameter name | Data type | Required | Description |
---|---|---|---|
Name | String | Yes | The name of the index to delete. |
Output parameters of the DeleteIndex action
This action returns confirmation message of the DeleteIndex action
For example on how to configure the DeleteIndex
action,
see Action examples.
UpdateIndex action
This action lets you update an index.
Input parameters of the UpdateIndex action
Parameter name | Data type | Required | Description |
---|---|---|---|
MaxMetaEntries | String | No | Sets the maximum number of unique lines in .data files in a bucket, which may help to reduce memory consumption. |
FrozenTimePeriodInSecs | String | No | Number of seconds after which indexed data rolls to frozen. Defaults to 188697600 (6 years). |
HomePath | String | No | An absolute path that contains the hot and warm buckets for the index. | MinRawFileSyncSecs | String | No | Specify an integer (or disable ) for this parameter. This parameter sets
how frequently splunkd forces a filesystem sync while compressing journal slices. |
ProcessTrackerServiceInterval | String | No | Specifies, in seconds, how often the indexer checks the status of the child OS processes it launched to see if it can launch new processes for queued requests. If set to 0, the indexer checks child process status every second. | ServiceMetaPeriod | String | No | Defines how frequently (in seconds) metadata is synced to disk. | MaxHotSpanSecs | String | No | Upper bound of target maximum timespan (in seconds) of hot or warm buckets. | QuarantinePastSecs | String | No | Events with timestamp of quarantinePastSecs older than now are dropped into quarantine bucket. |
ColdToFrozenDir | String | No | Destination path for the frozen archive. Use as an alternative to a ColdToFrozenScript. | ColdPath | String | No | An absolute path that contains the colddbs for the index. The path must be readable and writable. | MaxHotIdleSecs | String | No | Maximum life, in seconds, of a hot bucket. | WarmToColdScript | String | No | Path to a script to run when moving data from warm to cold. | ColdToFrozenScript | String | No | Path to the archiving script. | MaxHotBuckets | String | No | Maximum hot buckets that can exist per index. | TstatsHomePath | String | No | Location to store datamodel acceleration TSIDX data for this index. If specified, it must be defined in terms of a volume definition. Path must be writable | RepFactor | String | No | Index replication control. This parameter applies to only peer-nodes in the cluster.
|
MaxDataSize | String | No | The maximum size in MB for a hot DB to reach before a roll to warm is triggered.
Specifying auto or auto_high_volume causes Splunk to autotune this parameter (recommended). |
MaxBloomBackfillBucketAge | String | No | Valid values are: integer[m|s|h|d] if a warm or cold bucket is older than the specified age, do not create or rebuild its bloomfilter. Specify 0 to never rebuild bloomfilters. | BlockSignSize | String | No | Controls how many events make up a block for block signatures. If this is set to 0, block signing is disabled for this index. A recommended value is 100. | Name | String | Yes | The name of the index to create | MaxTotalDataSizeMB | String | Yes | The maximum size of an index (in MB). If an index grows larger than the maximum size, the oldest data is frozen. | MaxWarmDBCount | String | No | The maximum number of warm buckets. If this number is exceeded, the warm bucket(s) with the lowest value for their latest times is moved to cold. | RawChunkSizeBytes | String | No | Target uncompressed size in bytes for individual raw slice in the rawdata journal of the index. 0 is not a valid value. If 0 is specified, rawChunkSizeBytes is set to the default value. | DataType | String | No | Specifies the type of index | MaxConcurrentOptimizes | String | No | The number of concurrent optimize processes that can run against a hot bucket. | ThrottleCheckPeriod | String | No | Defines how frequently (in seconds) Splunk checks for index throttling condition. | SyncMeta | String | No | When true, a sync operation is called before file descriptor is closed on metadata file updates. This functionality improves integrity of metadata files, especially in regards to operating system crashes or machine failures. | RotatePeriodInSecs | String | No | How frequently (in seconds) to check if a new hot bucket needs to be created. Also, how frequently to check if there are any warm or cold buckets that should be rolled or frozen. |
Output parameters of the UpdateIndex action
This action returns confirmation message of the UpdateIndex action.
For example on how to configure the UpdateIndex
action,
see Action examples.
Action examples
Example - Create a HTTP event
This example creates a HTTP event.
- In the
Configure connector task
dialog, clickActions
. - Select the
CreateHTTPEvent
action, and then click Done. - In the Task Input section of the Connectors task, click
connectorInputPayload
and then enter a value similar to the following in theDefault Value
field:{ "EventContent": "Testing Task", "ContentType": "RAWTEXT", "ChannelGUID": "ContentType=RAWTEXT" }
If the action is successful, the
CreateHTTPEvent
task's connectorOutputPayload
response
parameter will have a value similar to the following:
[{ "Success": "Success" }]
Example - Create an index
This example creates an index.
- In the
Configure connector task
dialog, clickActions
. - Select the
CreateIndex
action, and then click Done. - In the Task Input section of the Connectors task, click
connectorInputPayload
and then enter a value similar to the following in theDefault Value
field:{ "Name": "http_testing" }
If the action is successful, the
CreateIndex
task's connectorOutputPayload
response
parameter will have a value similar to the following:
[{ "AssureUTF8": null, "BlockSignSize": null, "BlockSignatureDatabase": null, "BucketRebuildMemoryHint": null, "ColdPath": null, "FrozenTimePeriodInSecs": null, "HomePath": null, "HomePathExpanded": null, "IndexThreads": null, "IsInternal": null, "MaxConcurrentOptimizes": null, "MaxDataSize": null, "MaxHotBuckets": null, "SuppressBannerList": null, "Sync": null, "SyncMeta": null, "ThawedPath": null, "ThawedPathExpanded": null, "TstatsHomePath": null, "WarmToColdScript": null, }]
Example - Create a saved search
This example creates a saved search.
- In the
Configure connector task
dialog, clickActions
. - Select the
CreateSavedSearch
action, and then click Done. - In the Task Input section of the Connectors task, click
connectorInputPayload
and then enter a value similar to the following in theDefault Value
field:{ "Name": "test_created_g", "Search": "index=\"http_testing\"", "CronSchedule": "*/1 * * * *", "IsVisible": true, "RealTimeSchedule": true, "RunOnStartup": true, "IsScheduled": true, "SchedulePriority": "highest", "UserContext": "nobody" }
If the action is successful, the
CreateSavedSearch
task's connectorOutputPayload
response
parameter will have a value similar to the following:
[{ "Success": true, "Message": null }]
Example - Update a saved search
This example updates a saved search.
- In the
Configure connector task
dialog, clickActions
. - Select the
UpdateSavedSearch
action, and then click Done. - In the Task Input section of the Connectors task, click
connectorInputPayload
and then enter a value similar to the following in theDefault Value
field:{ "Name": "test_created_g", "Search": "index=\"december_test_data\"", "CronSchedule": "*/1 * * * *", "IsVisible": true, "RealTimeSchedule": true, "RunOnStartup": true, "IsScheduled": true, "SchedulePriority": "highest" }
If the action is successful, the
UpdateSavedSearch
task's connectorOutputPayload
response
parameter will have a value similar to the following:
[{ "Success": true, "Message": null }]
Example - Delete an index
This example deletes an index.
- In the
Configure connector task
dialog, clickActions
. - Select the
DeleteIndex
action, and then click Done. - In the Task Input section of the Connectors task, click
connectorInputPayload
and then enter a value similar to the following in theDefault Value
field:{ "Name": "g_http_testing" }
If the action is successful, the
DeleteIndex
task's connectorOutputPayload
response
parameter will have a value similar to the following:
[{ "Success": true, "ErrorCode": null, "ErrorMessage": null }]
Example - Update an index
This example updates an index.
- In the
Configure connector task
dialog, clickActions
. - Select the
UpdateIndex
action, and then click Done. - In the Task Input section of the Connectors task, click
connectorInputPayload
and then enter a value similar to the following in theDefault Value
field:{ "MaxTotalDataSizeMB": "400000", "Name": "g_http_testing" }
If the action is successful, the
UpdateIndex
task's connectorOutputPayload
response
parameter will have a value similar to the following:
[{ "AssureUTF8": false, "BlockSignSize": null, "BlockSignatureDatabase": null, "BucketRebuildMemoryHint": "auto", "ColdPath": "$SPLUNK_DB\\g_http_testing\\colddb", "ColdPathExpanded": "C:\\Program Files\\Splunk\\var\\lib\\splunk\\g_http_testing\\colddb", "ColdToFrozenDir": "", "ColdToFrozenScript": "", "CurrentDBSizeMB": 1.0, "DefaultDatabase": "main", "EnableOnlineBucketRepair": true, "EnableRealtimeSearch": true, "FrozenTimePeriodInSecs": 1.886976E8, "HomePath": "$SPLUNK_DB\\g_http_testing\\db", "HomePathExpanded": "C:\\Program Files\\Splunk\\var\\lib\\splunk\\g_http_testing\\db", "IndexThreads": "auto", "IsInternal": false, "LastInitTime": "2024-01-08 05:15:28.0", "MaxBloomBackfillBucketAge": "30d", "ThawedPath": "$SPLUNK_DB\\g_http_testing\\thaweddb", "ThawedPathExpanded": "C:\\Program Files\\Splunk\\var\\lib\\splunk\\g_http_testing\\thaweddb", "ThrottleCheckPeriod": 15.0, "TotalEventCount": 0.0, "TsidxDedupPostingsListMaxTermsLimit": 8388608.0, "TstatsHomePath": "volume:_splunk_summaries\\$_index_name\\datamodel_summary", "WarmToColdScript": "", "Success": true, "ErrorCode": null, "ErrorMessage": null }]
Entity operation examples
This section shows how to perform some of the entity operations in this connector.
Example - List all the records
This example lists all the records in the SearchJobs
entity.
- In the
Configure connector task
dialog, clickEntities
. - Select
SearchJobs
from theEntity
list. - Select the
List
operation, and then click Done. - Optionally, in Task Input section of the Connectors task, you can filter your result set by specifying a filter clause. Specify the filter clause value always within the single quotes (').
Example - Get a record from an entity
This example gets a record with the specified ID from the SearchJobs
entity.
- In the
Configure connector task
dialog, clickEntities
. - Select
SearchJobs
from theEntity
list. - Select the
Get
operation, and then click Done. - In the Task Input section of the Connectors task, click EntityId and
then enter
1698309163.1300
in the Default Value field.Here,
1698309163.1300
is a unique record ID in theSearchJobs
entity.
Example - Create a record in an entity
This example creates a record in the SearchJobs
entity.
- In the
Configure connector task
dialog, clickEntities
. - Select
SearchJobs
from theEntity
list. - Select the
Create
operation, and then click Done. - In the Data Mapper section of the Data Mapping task, click
Open Data Mapping Editor
and then enter a value similar to the following in theInput Value
field and choose the EntityId/ConnectorInputPayload as Local variable.{ "EventSearch": "search (index=\"antivirus_logs\") sourcetype=access_combined | rex \"(?\\d{1,3}\\.\\d{1,3}\\.\\d{1,3}\\.\\d{1,3})\" | iplocation IP_address| table IP_address, City, Country" }
If the integration is successful, the
SearchJobs
task'sconnectorOutputPayload
response parameter will have a value similar to the following:{ "Sid": "1699336785.1919" }
Example - Create a record in an entity
This example creates a record in the DataModels
entity.
- In the
Configure connector task
dialog, clickEntities
. - Select
DataModels
from theEntity
list. - Select the
Create
operation, and then click Done. - In the Task Input section of the Connectors task, click
connectorInputPayload
and then enter a value similar to the following in theDefault Value
field:{ "Id": "Test1", "Acceleration": "{\"enabled\":false,\"earliest_time\":\"\", \"max_time\":3600,\"backfill_time\":\"\",\"source_guid\":\"\", \"manual_rebuilds\":false,\"poll_buckets_until_maxtime\":false, \"max_concurrent\":3,\"allow_skew\":\"0\",\"schedule_priority\":\"default\" ,\"allow_old_summaries\":false,\"hunk.file_format\":\"\",\"hunk.dfs_block_size\":0, \"hunk.compression_codec\":\"\",\"workload_pool\":\"\"}" }
If the integration is successful, your connector task's
connectorOutputPayload
field will have a value similar to the following:[{ "Id": "Test1" }]
Example - Delete a record from an entity
This example deletes the record with the specified ID in the DataModels
entity.
- In the
Configure connector task
dialog, clickEntities
. - Select
DataModels
from theEntity
list. - Select the
Delete
operation, and then click Done. - In the Task Input section of the Connectors task, click entityId and
then enter
Test1
in the Default Value field.
Example - Update a record in an entity
This example updates a record in the DataModels
entity.
- In the
Configure connector task
dialog, clickEntities
. - Select
DataModels
from theEntity
list. - Select the
Update
operation, and then click Done. - In the Task Input section of the Connectors task, click
connectorInputPayload
and then enter a value similar to the following in theDefault Value
field:{ "Acceleration": "{\"enabled\":true,\"earliest_time\":\"-3mon\", \"cron_schedule\":\"*/5 * * * *\",\"max_time\":60, \"backfill_time\":\"\",\"source_guid\":\"\",\"manual_rebuilds\":false, \"poll_buckets_until_maxtime\":false,\"max_concurrent\":3, \"allow_skew\":\"0\",\"schedule_priority\":\"default\", \"allow_old_summaries\":false,\"hunk.file_format\":\"\",\"hunk.dfs_block_size\":0, \"hunk.compression_codec\":\"\",\"workload_pool\":\"\"}" }
- Click entityId, and then enter
/servicesNS/nobody/search/datamodel/model/Testing
in the Default Value field.If the integration is successful, your connector task's
connectorOutputPayload
field will have a value similar to the following:[{ "Id": "/servicesNS/nobody/search/datamodel/model/Testing" }]
Example - Search Flow
This section lists all the search flow using single index and multiple indices.
Create a search using single Index
- In the
Configure connector task
dialog, clickEntities
. - Select
SearchJobs
from theEntity
list. - Select the
Create
operation, and then click Done. - In the Data Mapper section of the Data Mapping task, click
Open Data Mapping Editor
and then enter a value similar to the following in theInput Value
field and choose the EntityId/ConnectorInputPayload as Local variable.{ "EventSearch": "search (index=\"http_testing\" sourcetype=\"googlecloud-testing\") " }
If the integration is successful, the
SearchJobs
task'sconnectorOutputPayload
response parameter will have a value similar to the following:{ "Sid": "1726051471.76" }
List operation using the Index Name used in Search Query
- In the
Configure connector task
dialog, clickEntities
. - Select
Index Name
from theEntity
list. - Select the
List
operation, and then click Done. - Task Input section of the Connectors task, you can set the filterClause, such as Sid= '1726051471.76'.
If the integration is successful, the
Index Name
task's connectorOutputPayload
response
parameter will have a value similar to the following:
[{ "_bkt": "http_testing~0~D043151E-5A2D-4FAB-8647-4D5DA2F288AF", "_cd": "00:04:00", "_eventtype_color": null, "_indextime": 1.720702012E9, "_kv": null, "_raw": "hi How r yo\nplease\nfind \nmy notes", "_serial": 0.0, "_si": "googlecloud-bcone-splunk-vm\nhttp_testing", "_sourcetype": "googlecloud-testing", "_time": "2024-07-11 12:46:52.0", "eventtype": null, "host": "googlecloud-bcone-splunk-vm", "index": "http_testing", "linecount": 4.0, "punct": null, "source": "Testing.txt", "sourcetype": "googlecloud-testing", "splunk_server": "googlecloud-bcone-splunk-vm", "splunk_server_group": null, "timestamp": null, "JobId": "1726051471.76" }]
Create a search using multiple Indices
- In the
Configure connector task
dialog, clickEntities
. - Select
SearchJobs
from theEntity
list. - Select the
Create
operation, and then click Done. - In the Data Mapper section of the Data Mapping task, click
Open Data Mapping Editor
and then enter a value similar to the following in theInput Value
field and choose the EntityId/ConnectorInputPayload as Local variable.{ "EventSearch": "search (index=\"http_testing\" OR index= \"googlecloud-demo\" sourcetype=\"googlecloud-testing\" OR sourcetype=\"Demo_Text\")" }
If the integration is successful, the
SearchJobs
task'sconnectorOutputPayload
response parameter will have a value similar to the following:{ "Sid": "1727261971.4007" }
List operation using the Indices Name used in Search Query
- In the
Configure connector task
dialog, clickEntities
. - Select
Index Name
Name from theEntity
list. - Select the
List
operation, and then click Done. - Task Input section of the Connectors task, you can set the filterClause, such as Sid= '1727261971.4007'.
If the integration is successful, the
Index
task's connectorOutputPayload
response
parameter will have a value similar to the following:
[{ "_bkt": "googlecloud-demo~0~D043151E-5A2D-4FAB-8647-4D5DA2F288AF", "_cd": "00:04:00", "_eventtype_color": null, "_indextime": 1.727155516E9, "_kv": null, "_raw": "Hi team\nwe have a demo please plan accordingly\nwith Google team", "_serial": 0.0, "_si": "googlecloud-bcone-splunk-vm\ngooglecloud-demo", "_sourcetype": "Demo_Text", "_time": "2024-09-24 05:25:16.0", "eventtype": null, "host": "googlecloud-bcone-splunk-vm", "index": "googlecloud-demo", "linecount": 3.0, "punct": null, "source": "Splunk_Demo.txt", "sourcetype": "Demo_Text", "splunk_server": "googlecloud-bcone-splunk-vm", "splunk_server_group": null, "timestamp": null, "JobId": "1727261971.4007" }, { "_bkt": "http_testing~0~D043151E-5A2D-4FAB-8647-4D5DA2F288AF", "_cd": "00:04:00", "_eventtype_color": null, "_indextime": 1.720702012E9, "_kv": null, "_raw": "hi How r yo\nplease\nfind \nmy notes", "_serial": 1.0, "_si": "googlecloud-bcone-splunk-vm\nhttp_testing", "_sourcetype": "googlecloud-testing", "_time": "2024-07-11 12:46:52.0", "eventtype": null, "host": "googlecloud-bcone-splunk-vm", "index": "http_testing", "linecount": 4.0, "punct": null, "source": "Testing.txt", "sourcetype": "googlecloud-testing", "splunk_server": "googlecloud-bcone-splunk-vm", "splunk_server_group": null, "timestamp": null, "JobId": "1727261971.4007" }]
Use terraform to create connections
You can use the Terraform resource to create a new connection.To learn how to apply or remove a Terraform configuration, see Basic Terraform commands.
To view a sample terraform template for connection creation, see sample template.
When creating this connection by using Terraform, you must set the following variables in your Terraform configuration file:
Parameter name | Data type | Required | Description |
---|---|---|---|
verbosity | STRING | False | Verbosity level for connection, varies from 1-5. Higher verbosity level will log all the communication details (request,response & ssl certificates). |
proxy_enabled | BOOLEAN | False | Select this checkbox to configure a proxy server for the connection. |
proxy_auth_scheme | ENUM | False | The authentication type to use to authenticate to the ProxyServer proxy. Supported values are: BASIC, DIGEST, NONE |
proxy_user | STRING | False | A user name to be used to authenticate to the ProxyServer proxy. |
proxy_password | SECRET | False | A password to be used to authenticate to the ProxyServer proxy. |
proxy_ssltype | ENUM | False | The SSL type to use when connecting to the ProxyServer proxy. Supported values are: AUTO, ALWAYS, NEVER, TUNNEL |
Use the Splunk connection in an integration
After you create the connection, it becomes available in both Apigee Integration and Application Integration. You can use the connection in an integration through the Connectors task.
- To understand how to create and use the Connectors task in Apigee Integration, see Connectors task.
- To understand how to create and use the Connectors task in Application Integration, see Connectors task.
Get help from the Google Cloud community
You can post your questions and discuss this connector in the Google Cloud community at Cloud Forums.What's next
- Understand how to suspend and resume a connection.
- Understand how to monitor connector usage.
- Understand how to view connector logs.