同一个KQL是一个Inner Join语句。您可以使用内部、左或右连接状态来保护您的业务角色需求。 上面的所有查询显示了表中的所有列。这是如何显示EmpID, Status, Position, CompanyEmail, MonthlyRate. Employee| join kind=inner EmployeeContact on $left.EmpID == $right.EmpID | join kind=inner EmployeeRate on ...
使用summarize子句对数据进行聚合,通常与by子句一起使用,后者指定聚合的键。 例子:summarize Count = count() by UserId 数据排序: 使用sort by或order by对结果进行排序。 例子:sort by Count desc 连接其他数据: 使用join子句将当前的数据集与另一个数据集结合起来。 例子:join kind=inner UserProfiles on Use...
一、将员工表Employee与雇用联系人表Employ Contacts进行内部连接，并显示所有列。使用Inner Join语句可实现这一目标。二、输出数据集。使用左连接(left Join)和右连接(right Join)示例查询，可分别实现从左表或右表中选择数据的场景。例如：Employee | join kind=leftouter EmployeeContact on $left.EmpID...
| summarize count() by UserName | join kind=leftanti ( CommonSecurityLog | where TimeGenerated >= ago(1d) | summarize count() by UserName_CS ) on $left.UserName == $right.UserName_CS You'd need to tell the join which columns to compare, like this: BehaviorAnalytics | where TimeGenera...
・join の kind:内部結合、完全外部結合など、結合の種類を設定することができます。デフォルトは、左側の重複を除去する内部結合になっています。 let - 変数を定義し、数やテーブルの計算結果を代入するオペレーター 文法:変数名を定義し、数やテーブル名を代入 ...
| join kind=inner FirstLogonOfTheDay on Date, TargetUserName//| where TargetUserName =~ 'jsmith'| project Date, TargetUserName, FirstLogonOfTheDay, LastLogoffOfTheDay, SourceSystem, Account, AccountType, Computer, EventSourceName, Channel| sort by TargetUserName asc, Date desc Marked as ...
因此,我需要在KQL中选择具有表别名的列。 ANSI SQL中的示例: Select a.col1,b.col2 from a inner join b on a.id = b.id KQL中的示例: let TableA = external_table('table1') | take 100 let TableB = external_table('table2') | take 100 TableA | join kind=inner (TableB) on id ...
因此,我需要在 KQL 中选择带有表别名的列。 ANSI SQL中的示例: Select a.col1,b.col2 from a inner join b on a.id = b.id KQL中的示例: let TableA = external_table('table1') | take 100 let TableB = external_table('table2') | take 100 TableA | join kind=inner (TableB) on ...
let nodes = union ( sensors | join kind=leftouter ( timeseriesData | summarize hasAnomaly=max(anomaly) by sensorId ) on sensorId | project nodeId = sensorId, label = "tag", properties = pack_all(true) ), ( employees | project nodeId = name, label = "employee", properties = pack...
let nodes = union ( sensors | join kind=leftouter ( timeseriesData | summarize hasAnomaly=max(anomaly) by sensorId ) on sensorId | project nodeId = sensorId, label = "tag", properties = pack_all(true) ), ( employees | project nodeId = name, label = "employee", properties = pack...