CREATE EVENT SESSION [slowquerylog]
ON SERVER
    ADD EVENT sqlserver.blocked_process_report
    (ACTION
     (
         sqlserver.client_app_name,
         sqlserver.client_hostname,
         sqlserver.database_id,
         sqlserver.database_name,
         sqlserver.plan_handle,
         sqlserver.query_hash,
         sqlserver.request_id,
         sqlserver.session_id,
         sqlserver.sql_text
     )
    )
    ADD TARGET package0.event_file
    (SET filename = N'E:\DBExtentEvent\slowquerylog.xel')
WITH
(
    STARTUP_STATE = ON
);
GO

--窗口2
--locked process threshold是SQL Server2005推出的一個(gè)選項(xiàng)
--設(shè)置阻塞進(jìn)程閾值
sp_configure 'show advanced options', 1 ;  
GO  
RECONFIGURE ;  
GO  
sp_configure 'blocked process threshold', 10 ;   --10秒
GO  
RECONFIGURE ;  
GO

--窗口3
USE testdb;
GO
BEGIN tran
update Account
set name ='Test'
where ID = 2
--commit

-- 窗口4
USE testdb;
GO
-- 這個(gè)查詢會被窗口3中的事務(wù)阻塞
SELECT * FROM Account
WHERE ID = 2

-- 查詢擴(kuò)展事件 XEL 文件內(nèi)容
SELECT 
    event_data.value('(event/@name)[1]', 'VARCHAR(50)') AS event_name,
    event_data.value('(event/@timestamp)[1]', 'DATETIME2') AS event_timestamp,
    event_data.value('(event/data[@name="duration"]/value)[1]', 'INT') AS duration,
    event_data.value('(event/action[@name="client_app_name"]/value)[1]', 'VARCHAR(255)') AS client_app_name,
    event_data.value('(event/action[@name="client_hostname"]/value)[1]', 'VARCHAR(255)') AS client_hostname,
    event_data.value('(event/action[@name="database_name"]/value)[1]', 'VARCHAR(255)') AS database_name,
    event_data.value('(event/action[@name="sql_text"]/value)[1]', 'VARCHAR(MAX)') AS sql_text
FROM 
    sys.fn_xe_file_target_read_file('E:\DBExtentEvent\slowquerylog*.xel', NULL, NULL, NULL) AS t
CROSS APPLY 
    t.event_data.nodes('event') AS XEvent(event_data);

import pyodbc
import pandas as pd
# 設(shè)置數(shù)據(jù)庫連接
conn = pyodbc.connect(
    'DRIVER={SQL Server};'
    'SERVER=your_server_name;'
    'DATABASE=your_database_name;'
    'UID=your_username;'
    'PWD=your_password'
)
# 查詢 XEL 文件內(nèi)容
query = """
SELECT 
    event_data.value('(event/@name)[1]', 'VARCHAR(50)') AS event_name,
    event_data.value('(event/@timestamp)[1]', 'DATETIME2') AS event_timestamp,
    event_data.value('(event/data[@name="duration"]/value)[1]', 'INT') AS duration,
    event_data.value('(event/action[@name="client_app_name"]/value)[1]', 'VARCHAR(255)') AS client_app_name,
    event_data.value('(event/action[@name="client_hostname"]/value)[1]', 'VARCHAR(255)') AS client_hostname,
    event_data.value('(event/action[@name="database_name"]/value)[1]', 'VARCHAR(255)') AS database_name,
    event_data.value('(event/action[@name="sql_text"]/value)[1]', 'VARCHAR(MAX)') AS sql_text
FROM 
    sys.fn_xe_file_target_read_file('E:\DBExtentEvent\slowquerylog*.xel', NULL, NULL, NULL) AS t
CROSS APPLY 
    t.event_data.nodes('event') AS XEvent(event_data);
"""
# 使用 pandas 讀取數(shù)據(jù)
df = pd.read_sql(query, conn)
# 關(guān)閉數(shù)據(jù)庫連接
conn.close()
# 顯示數(shù)據(jù)
print(df)
# 將數(shù)據(jù)保存為 CSV 文件
df.to_csv('slowquerylog.csv', index=False)

# 加載所需的程序集
Add-Type -Path "C:\Program Files\Microsoft SQL Server\140\SDK\Assemblies\Microsoft.SqlServer.XEvent.Linq.dll"
# 定義XEL文件路徑
$xelFilePath = "E:\DBExtentEvent\slowquerylog*.xel"
# 創(chuàng)建XEventData對象
$events = New-Object Microsoft.SqlServer.XEvent.Linq.QueryableXEventData($xelFilePath)
# 初始化一個(gè)空數(shù)組來存儲事件數(shù)據(jù)
$eventDataList = @()
# 遍歷每個(gè)事件并提取所需的字段
foreach ($event in $events) {
    $eventData = New-Object PSObject -Property @{
        EventName      = $event.Name
        Timestamp      = $event.Timestamp
        Duration       = $event.Fields["duration"].Value
        ClientAppName  = $event.Actions["client_app_name"].Value
        ClientHostname = $event.Actions["client_hostname"].Value
        DatabaseName   = $event.Actions["database_name"].Value
        SqlText        = $event.Actions["sql_text"].Value
    }
    $eventDataList += $eventData
}
# 將事件數(shù)據(jù)導(dǎo)出為CSV文件
$eventDataList | Export-Csv -Path "E:\DBExtentEvent\slowquerylog.csv" -NoTypeInformation

import pandas as pd
# 定義CSV文件路徑
csv_file_path = "E:\\DBExtentEvent\\slowquerylog.csv"
# 使用pandas讀取CSV文件
df = pd.read_csv(csv_file_path)
# 顯示數(shù)據(jù)
print(df)