The number of log events you can send in this index per day before you are rate-limited.
daily_limit_reset
object
Object containing options to override the default daily limit reset time.
reset_time
string
String in HH:00 format representing the time of day the daily limit should be reset. The hours must be between 00 and 23 (inclusive).
reset_utc_offset
string
String in (-|+)HH:00 format representing the UTC offset to apply to the given reset time. The hours must be between -12 and +14 (inclusive).
daily_limit_warning_threshold_percentage
double
A percentage threshold of the daily quota at which a Datadog warning event is generated.
disable_daily_limit
boolean
If true, sets the daily_limit value to null and the index is not limited on a daily basis (any
specified daily_limit value in the request is ignored). If false or omitted, the index's current
daily_limit is maintained.
exclusion_filters
[object]
An array of exclusion objects. The logs are tested against the query of each filter,
following the order of the array. Only the first matching active exclusion matters,
others (if any) are ignored.
filter
object
Exclusion filter is defined by a query, a sampling rule, and a active/inactive toggle.
query
string
Default query is *, meaning all logs flowing in the index would be excluded.
Scope down exclusion filter to only a subset of logs with a log query.
sample_attribute
string
Sample attribute to use for the sampling of logs going through this exclusion filter.
When set, only the logs with the specified attribute are sampled.
sample_rate [required]
double
Sample rate to apply to logs going through this exclusion filter,
a value of 1.0 excludes all logs matching the query.
is_enabled
boolean
Whether or not the exclusion filter is active.
name [required]
string
Name of the index exclusion filter.
filter [required]
object
Filter for logs.
query
string
The filter query.
num_flex_logs_retention_days
int64
The total number of days logs are stored in Standard and Flex Tier before being deleted from the index.
If Standard Tier is enabled on this index, logs are first retained in Standard Tier for the number of days specified through num_retention_days,
and then stored in Flex Tier until the number of days specified in num_flex_logs_retention_days is reached.
The available values depend on retention plans specified in your organization's contract/subscriptions.
Note: Changing this value affects all logs already in this index. It may also affect billing.
num_retention_days
int64
The number of days logs are stored in Standard Tier before aging into the Flex Tier or being deleted from the index.
The available values depend on retention plans specified in your organization's contract/subscriptions.
Note: Changing this value affects all logs already in this index. It may also affect billing.
tags
[string]
A list of tags associated with the index. Tags must be in key:value format.
The number of log events you can send in this index per day before you are rate-limited.
daily_limit_reset
object
Object containing options to override the default daily limit reset time.
reset_time
string
String in HH:00 format representing the time of day the daily limit should be reset. The hours must be between 00 and 23 (inclusive).
reset_utc_offset
string
String in (-|+)HH:00 format representing the UTC offset to apply to the given reset time. The hours must be between -12 and +14 (inclusive).
daily_limit_warning_threshold_percentage
double
A percentage threshold of the daily quota at which a Datadog warning event is generated.
exclusion_filters
[object]
An array of exclusion objects. The logs are tested against the query of each filter,
following the order of the array. Only the first matching active exclusion matters,
others (if any) are ignored.
filter
object
Exclusion filter is defined by a query, a sampling rule, and a active/inactive toggle.
query
string
Default query is *, meaning all logs flowing in the index would be excluded.
Scope down exclusion filter to only a subset of logs with a log query.
sample_attribute
string
Sample attribute to use for the sampling of logs going through this exclusion filter.
When set, only the logs with the specified attribute are sampled.
sample_rate [required]
double
Sample rate to apply to logs going through this exclusion filter,
a value of 1.0 excludes all logs matching the query.
is_enabled
boolean
Whether or not the exclusion filter is active.
name [required]
string
Name of the index exclusion filter.
filter [required]
object
Filter for logs.
query
string
The filter query.
is_rate_limited
boolean
A boolean stating if the index is rate limited, meaning more logs than the daily limit have been sent.
Rate limit is reset every-day at 2pm UTC.
name [required]
string
The name of the index.
num_flex_logs_retention_days
int64
The total number of days logs are stored in Standard and Flex Tier before being deleted from the index.
If Standard Tier is enabled on this index, logs are first retained in Standard Tier for the number of days specified through num_retention_days,
and then stored in Flex Tier until the number of days specified in num_flex_logs_retention_days is reached.
The available values depend on retention plans specified in your organization's contract/subscriptions.
num_retention_days
int64
The number of days logs are stored in Standard Tier before aging into the Flex Tier or being deleted from the index.
The available values depend on retention plans specified in your organization's contract/subscriptions.
tags
[string]
A list of tags associated with the index. Tags must be in key:value format.
"""
Update an index returns "OK" response
"""fromdatadog_api_clientimportApiClient,Configurationfromdatadog_api_client.v1.api.logs_indexes_apiimportLogsIndexesApifromdatadog_api_client.v1.model.logs_daily_limit_resetimportLogsDailyLimitResetfromdatadog_api_client.v1.model.logs_exclusionimportLogsExclusionfromdatadog_api_client.v1.model.logs_exclusion_filterimportLogsExclusionFilterfromdatadog_api_client.v1.model.logs_filterimportLogsFilterfromdatadog_api_client.v1.model.logs_index_update_requestimportLogsIndexUpdateRequestbody=LogsIndexUpdateRequest(daily_limit=300000000,daily_limit_reset=LogsDailyLimitReset(reset_time="14:00",reset_utc_offset="+02:00",),daily_limit_warning_threshold_percentage=70.0,disable_daily_limit=False,exclusion_filters=[LogsExclusion(filter=LogsExclusionFilter(query="*",sample_attribute="@ci.job_id",sample_rate=1.0,),name="payment",),],filter=LogsFilter(query="source:python",),num_flex_logs_retention_days=360,num_retention_days=15,tags=["team:backend","env:production",],)configuration=Configuration()withApiClient(configuration)asapi_client:api_instance=LogsIndexesApi(api_client)response=api_instance.update_logs_index(name="name",body=body)print(response)
# Update an index returns "OK" responserequire"datadog_api_client"api_instance=DatadogAPIClient::V1::LogsIndexesAPI.newbody=DatadogAPIClient::V1::LogsIndexUpdateRequest.new({daily_limit:300000000,daily_limit_reset:DatadogAPIClient::V1::LogsDailyLimitReset.new({reset_time:"14:00",reset_utc_offset:"+02:00",}),daily_limit_warning_threshold_percentage:70,disable_daily_limit:false,exclusion_filters:[DatadogAPIClient::V1::LogsExclusion.new({filter:DatadogAPIClient::V1::LogsExclusionFilter.new({query:"*",sample_attribute:"@ci.job_id",sample_rate:1.0,}),name:"payment",}),],filter:DatadogAPIClient::V1::LogsFilter.new({query:"source:python",}),num_flex_logs_retention_days:360,num_retention_days:15,tags:["team:backend","env:production",],})papi_instance.update_logs_index("name",body)
// Update an index returns "OK" responsepackagemainimport("context""encoding/json""fmt""os""github.com/DataDog/datadog-api-client-go/v2/api/datadog""github.com/DataDog/datadog-api-client-go/v2/api/datadogV1")funcmain(){body:=datadogV1.LogsIndexUpdateRequest{DailyLimit:datadog.PtrInt64(300000000),DailyLimitReset:&datadogV1.LogsDailyLimitReset{ResetTime:datadog.PtrString("14:00"),ResetUtcOffset:datadog.PtrString("+02:00"),},DailyLimitWarningThresholdPercentage:datadog.PtrFloat64(70),DisableDailyLimit:datadog.PtrBool(false),ExclusionFilters:[]datadogV1.LogsExclusion{{Filter:&datadogV1.LogsExclusionFilter{Query:datadog.PtrString("*"),SampleAttribute:datadog.PtrString("@ci.job_id"),SampleRate:1.0,},Name:"payment",},},Filter:datadogV1.LogsFilter{Query:datadog.PtrString("source:python"),},NumFlexLogsRetentionDays:datadog.PtrInt64(360),NumRetentionDays:datadog.PtrInt64(15),Tags:[]string{"team:backend","env:production",},}ctx:=datadog.NewDefaultContext(context.Background())configuration:=datadog.NewConfiguration()apiClient:=datadog.NewAPIClient(configuration)api:=datadogV1.NewLogsIndexesApi(apiClient)resp,r,err:=api.UpdateLogsIndex(ctx,"name",body)iferr!=nil{fmt.Fprintf(os.Stderr,"Error when calling `LogsIndexesApi.UpdateLogsIndex`: %v\n",err)fmt.Fprintf(os.Stderr,"Full HTTP response: %v\n",r)}responseContent,_:=json.MarshalIndent(resp,""," ")fmt.Fprintf(os.Stdout,"Response from `LogsIndexesApi.UpdateLogsIndex`:\n%s\n",responseContent)}
// Update an index returns "OK" responseimportcom.datadog.api.client.ApiClient;importcom.datadog.api.client.ApiException;importcom.datadog.api.client.v1.api.LogsIndexesApi;importcom.datadog.api.client.v1.model.LogsDailyLimitReset;importcom.datadog.api.client.v1.model.LogsExclusion;importcom.datadog.api.client.v1.model.LogsExclusionFilter;importcom.datadog.api.client.v1.model.LogsFilter;importcom.datadog.api.client.v1.model.LogsIndex;importcom.datadog.api.client.v1.model.LogsIndexUpdateRequest;importjava.util.Arrays;importjava.util.Collections;publicclassExample{publicstaticvoidmain(String[]args){ApiClientdefaultClient=ApiClient.getDefaultApiClient();LogsIndexesApiapiInstance=newLogsIndexesApi(defaultClient);LogsIndexUpdateRequestbody=newLogsIndexUpdateRequest().dailyLimit(300000000L).dailyLimitReset(newLogsDailyLimitReset().resetTime("14:00").resetUtcOffset("+02:00")).dailyLimitWarningThresholdPercentage(70.0).disableDailyLimit(false).exclusionFilters(Collections.singletonList(newLogsExclusion().filter(newLogsExclusionFilter().query("*").sampleAttribute("@ci.job_id").sampleRate(1.0)).name("payment"))).filter(newLogsFilter().query("source:python")).numFlexLogsRetentionDays(360L).numRetentionDays(15L).tags(Arrays.asList("team:backend","env:production"));try{LogsIndexresult=apiInstance.updateLogsIndex("name",body);System.out.println(result);}catch(ApiExceptione){System.err.println("Exception when calling LogsIndexesApi#updateLogsIndex");System.err.println("Status code: "+e.getCode());System.err.println("Reason: "+e.getResponseBody());System.err.println("Response headers: "+e.getResponseHeaders());e.printStackTrace();}}}
// Update an index returns "OK" response
usedatadog_api_client::datadog;usedatadog_api_client::datadogV1::api_logs_indexes::LogsIndexesAPI;usedatadog_api_client::datadogV1::model::LogsDailyLimitReset;usedatadog_api_client::datadogV1::model::LogsExclusion;usedatadog_api_client::datadogV1::model::LogsExclusionFilter;usedatadog_api_client::datadogV1::model::LogsFilter;usedatadog_api_client::datadogV1::model::LogsIndexUpdateRequest;#[tokio::main]asyncfnmain(){letbody=LogsIndexUpdateRequest::new(LogsFilter::new().query("source:python".to_string())).daily_limit(300000000).daily_limit_reset(LogsDailyLimitReset::new().reset_time("14:00".to_string()).reset_utc_offset("+02:00".to_string()),).daily_limit_warning_threshold_percentage(70.0asf64).disable_daily_limit(false).exclusion_filters(vec![LogsExclusion::new("payment".to_string()).filter(LogsExclusionFilter::new(1.0).query("*".to_string()).sample_attribute("@ci.job_id".to_string()),)]).num_flex_logs_retention_days(360).num_retention_days(15).tags(vec!["team:backend".to_string(),"env:production".to_string(),]);letconfiguration=datadog::Configuration::new();letapi=LogsIndexesAPI::with_config(configuration);letresp=api.update_logs_index("name".to_string(),body).await;ifletOk(value)=resp{println!("{:#?}",value);}else{println!("{:#?}",resp.unwrap_err());}}
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.comus2.ddog-gov.com"DD_API_KEY="<API-KEY>"DD_APP_KEY="<APP-KEY>"cargo run
/**
* Update an index returns "OK" response
*/import{client,v1}from"@datadog/datadog-api-client";constconfiguration=client.createConfiguration();constapiInstance=newv1.LogsIndexesApi(configuration);constparams: v1.LogsIndexesApiUpdateLogsIndexRequest={body:{dailyLimit: 300000000,dailyLimitReset:{resetTime:"14:00",resetUtcOffset:"+02:00",},dailyLimitWarningThresholdPercentage: 70,disableDailyLimit: false,exclusionFilters:[{filter:{query:"*",sampleAttribute:"@ci.job_id",sampleRate: 1.0,},name:"payment",},],filter:{query:"source:python",},numFlexLogsRetentionDays: 360,numRetentionDays: 15,tags:["team:backend","env:production"],},name:"name",};apiInstance.updateLogsIndex(params).then((data: v1.LogsIndex)=>{console.log("API called successfully. Returned data: "+JSON.stringify(data));}).catch((error: any)=>console.error(error));