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    ActionTrail：如何在SLS設定SQL語句查詢Action Trail的事件

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    ActionTrail：如何在SLS設定SQL語句查詢Action Trail的事件

    更新時間：Jul 01, 2024

    Action Trail（ActionTrail）協助您監控阿里雲帳號的活動並記錄最近90天的事件。當您需要分析更長時間的事件時，可以通過Action Trail建立跟蹤，將事件投遞到Log ServiceSLS，使用SQL語句對事件進行查詢和分析。本文為您介紹在如何在SLS設定SQL語句。

    SQL語句文法

    SQL（Structured Query Language）語句格式為：<查詢語句> | <分析語句>。

    Action Trail支援通過多種方式查詢事件。不同查詢方式對應的查詢語句和分析語句如下表所示：

    查詢方式

    查詢語句

    分析語句

    事件查詢

    • 讀寫類型：* AND "event.eventCategory": Management AND "event.eventRW": Write

    • 使用者名稱：* AND "event.eventCategory": Management AND "event.userIdentity.userName": "xxx"

    • 事件名稱：* AND "event.eventCategory": Management AND "event.eventName": "DescribeScalingGroups"

    • 資源類型：* AND "event.eventCategory": Management AND "event.resourceType": "ACS::ECS::Instance"

    • 資源名稱：* AND "event.eventCategory": Management AND "event.resourceName": "i-xxx"

    • 服務名稱：* AND "event.eventCategory": Management AND "event.serviceName": "Ecs"

    • AccessKey ID：* AND "event.eventCategory": Management "event.userIdentity.accessKeyId": "STS.xxxx"

    select "event.acsRegion" as acsRegion, "event.apiVersion" as apiVersion, "event.eventId" as eventId, "event.eventName" as eventName, "event.eventRW" as eventRW, "event.eventSource" as eventSource, from_unixtime(__time__) as eventTime, "event.eventType" as eventType, "event.eventVersion" as eventVersion, "event.errorCode" as errorCode, "event.errorMessage" as errorMessage, "event.requestId" as requestId, "event.requestParameterJson" as requestParameterJson, "event.resourceName" as resourceName, "event.resourceType" as resourceType, "event.serviceName" as serviceName, "event.sourceIpAddress" as sourceIpAddress, "event.userAgent" as userAgent, "event.userIdentity.accessKeyId" as accessKeyId, "event.userIdentity.accountId" as accontId, "event.userIdentity.principalId" as principalId, "event.userIdentity.type" as type, "event.userIdentity.userName" as userName

    事件彙總查詢

    • 讀寫類型：* AND "event.eventCategory": Management AND "event.eventRW": Write

    • 事件名稱：* AND "event.eventCategory": Management AND "event.eventName": "DescribeScalingGroups"

    • 服務名稱：* AND "event.eventCategory": Management AND "event.serviceName": "Ecs"

    • AccessKey ID：* AND "event.eventCategory": Management "event.userIdentity.accessKeyId": "STS.xxxx"

    SELECT"event.serviceName"AS servieName,"event.eventName"AS eventName,"event.eventRw"AS eventRw,"event.sourceIpAddress"AS sourceIpAddress,"event.resourceName"AS resourceName,"event.resourceType"AS resourceType,"event.userIdentity.userName"AS userName,"event.userIdentity.type"AS userType,"event.userIdentity.accessKeyId"AS accessKeyId,"event.acsRegion"AS eventRegion,COUNT("event.eventId")AS n, date_trunc('hour', __time__) AS time GROUP BY time, servieName, eventName, eventRw, sourceIpAddress, resourceType, resourceName, accessKeyId, userType, userName, eventRegion ORDER BY time DESC LIMIT 20

    Insight事件查詢

    • IP地址：* AND "event.eventCategory": Insight AND event.insightDetails.insightType: IpInsight AND "event.insightDetails.sourceIpAddress": "10.12.XX.XX"

    • Insight事件類型：* AND "event.eventCategory": Insight AND event.insightDetails.insightType: IpInsight

    • 事件ID：* AND "event.eventCategory": Insight AND event.insightDetails.insightType: IpInsight AND "event.eventId": 6CE5DBDE-5D18-4BF9-BD6A-E0D2E1BA****

    select from_unixtime(__time__) as eventTime, "event.acsRegion" as eventRegion, "event.insightDetails.sourceIpAddress" as sourceIpAddress, "event.insightDetails.insightContext.statistics.insightCount" as count

    SQL語句樣本

    • 樣本一：查詢管控事件中的所有寫事件

      * AND "event.eventCategory": Management AND "event.eventRW": Write | select "event.acsRegion" as acsRegion, "event.apiVersion" as apiVersion, "event.eventId" as eventId, "event.eventName" as eventName, "event.eventRW" as eventRW, "event.eventSource" as eventSource, from_unixtime(__time__) as eventTime, "event.eventType" as eventType, "event.eventVersion" as eventVersion, "event.errorCode" as errorCode, "event.errorMessage" as errorMessage, "event.requestId" as requestId, "event.requestParameterJson" as requestParameterJson, "event.resourceName" as resourceName, "event.resourceType" as resourceType, "event.serviceName" as serviceName, "event.sourceIpAddress" as sourceIpAddress, "event.userAgent" as userAgent, "event.userIdentity.accessKeyId" as accessKeyId, "event.userIdentity.accountId" as accontId, "event.userIdentity.principalId" as principalId, "event.userIdentity.type" as type, "event.userIdentity.userName" as userName

    • 樣本二：查詢管控事件中所有寫事件的彙總情況

      說明

      如果設定的查詢時間段較長，建議設定LIMIT N，返回N條事件。例如：設定LIMIT 20，返回20條事件。

      * AND "event.eventCategory": Management AND "event.eventRW": Write | SELECT"event.serviceName"AS servieName,"event.eventName"AS eventName,"event.eventRw"AS eventRw,"event.sourceIpAddress"AS sourceIpAddress,"event.resourceName"AS resourceName,"event.resourceType"AS resourceType,"event.userIdentity.userName"AS userName,"event.userIdentity.type"AS userType,"event.userIdentity.accessKeyId"AS accessKeyId,"event.acsRegion"AS eventRegion,COUNT("event.eventId")AS n, date_trunc('hour', __time__) AS time GROUP BY time, servieName, eventName, eventRw, sourceIpAddress, resourceType, resourceName, accessKeyId, userType, userName, eventRegion ORDER BY time DESC LIMIT 20

    • 樣本三：查詢Insight事件中所有IP例外狀況事件

      * AND "event.eventCategory": Insight AND event.insightDetails.insightType: IpInsight | select from_unixtime(__time__) as eventTime, "event.acsRegion" as eventRegion, "event.insightDetails.sourceIpAddress" as sourceIpAddress, "event.insightDetails.insightContext.statistics.insightCount" as count