Prefacio
Tarde o temprano, a un administrador de base de datos le gustaría tener un indicador de rendimiento para las consultas de SQL Server. Como todos sabemos, ejecutar Profiler durante 24 horas generará una carga considerable del sistema y, por lo tanto, no puede considerarse una solución óptima para las bases de datos utilizadas en el modo 24/7.
Entonces, ¿cómo podemos detectar el estado de las consultas de SQL Server? ¿Cómo podemos ejecutar el seguimiento de los problemas relacionados con la consulta detectados sin la intervención humana?
En este artículo, proporcionaré una implementación del indicador de rendimiento de SQL Server para consultas, procedimientos almacenados y activadores, así como su uso para la ejecución de seguimiento.
Solución
En primer lugar, echemos un vistazo al enfoque general para la implementación del indicador de rendimiento para consultas, procedimientos almacenados y disparadores:
- Creación de tablas requeridas para la recolección y análisis de información.
- Creación de una vista para la recopilación de información.
- Creación de procedimientos almacenados para la recopilación de información.
- Creación de una vista para salida de información.
Y ahora, consideremos la implementación:
1. Creación de tablas requeridas para la recolección y análisis de la información.
1.1. Para consultas:
USE [DATABASE_NAME]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
SET ANSI_PADDING ON
GO
CREATE TABLE [srv].[SQL_StatementExecStat](
[ID] [bigint] IDENTITY(1,1) NOT NULL,
[InsertDate] [datetime] NULL,
[QueryHash] [binary](8) NULL,
[ExecutionCount] [bigint] NULL,
[TotalWorkerTime] [bigint] NULL,
[StatementText] [nvarchar](max) NULL,
[TotalElapsedTime] [bigint] NULL,
CONSTRAINT [PK_SQL_StatementExecStat] PRIMARY KEY CLUSTERED
(
[ID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
SET ANSI_PADDING ON
GO 1.2. Para procedimientos almacenados:
USE [DATABASE_NAME]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [srv].[SQL_ProcedureExecStat](
[ID] [bigint] IDENTITY(1,1) NOT NULL,
[InsertDate] [datetime] NULL,
[database_id] [int] NULL,
[object_id] [int] NULL,
[ExecutionCount] [bigint] NULL,
[TotalWorkerTime] [bigint] NULL,
[TotalElapsedTime] [bigint] NULL,
[TotalPhysicalReads] [bigint] NULL,
[TotalLogicalReads] [bigint] NULL,
[TotalLogicalWrites] [bigint] NULL,
CONSTRAINT [PK_SQL_ProcedureExecStat] PRIMARY KEY CLUSTERED
(
[ID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO 1.3. Para disparadores:
USE [DATABASE_NAME]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [srv].[SQL_TriggerExecStat](
[ID] [bigint] IDENTITY(1,1) NOT NULL,
[InsertDate] [datetime] NULL,
[database_id] [int] NULL,
[object_id] [int] NULL,
[ExecutionCount] [bigint] NULL,
[TotalWorkerTime] [bigint] NULL,
[TotalElapsedTime] [bigint] NULL
) ON [PRIMARY]
GO
2. Creación de una vista para la recopilación de información (aquí podemos insertar filtros para eliminar la información irrelevante (por ejemplo, consultas y procedimientos con disparadores de replicación, etc.).
2.1. Para consultas:
USE [DATABASE_NAME]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE view [srv].[vStatementExecInfo] as
with info as (
SELECT
query_stats.query_hash AS QueryHash,
SUM(query_stats.total_worker_time ) /
SUM(query_stats.execution_count) AS AvgCPU_Time,
SUM(query_stats.execution_count ) AS ExecutionCount,
SUM(query_stats.total_worker_time ) AS TotalWorkerTime,
MIN(query_stats.statement_text ) AS StatementText,
MIN(query_stats.min_worker_time ) AS MinWorkerTime,
MAX(query_stats.max_worker_time ) AS MaxWorkerTime,
SUM(query_stats.total_physical_reads) AS TotalPhysicalReads,
MIN(query_stats.min_physical_reads ) AS MinPhysicalReads,
MAX(query_stats.max_physical_reads ) AS MaxPhysicalReads,
SUM(query_stats.total_physical_reads) /
SUM(query_stats.execution_count) AS AvgPhysicalReads,
SUM(query_stats.total_logical_writes) AS TotalLogicalWrites,
MIN(query_stats.min_logical_writes ) AS MinLogicalWrites,
MAX(query_stats.max_logical_writes ) AS MaxLogicalWrites,
SUM(query_stats.total_logical_writes) /
SUM(query_stats.execution_count) AS AvgLogicalWrites,
SUM(query_stats.total_logical_reads ) AS TotalLogicalReads,
MIN(query_stats.min_logical_reads ) AS MinLogicalReads,
MAX(query_stats.max_logical_reads ) AS MaxLogicalReads,
SUM(query_stats.total_logical_reads ) /
SUM(query_stats.execution_count) AS AvgLogicalReads,
SUM(query_stats.total_elapsed_time ) AS TotalElapsedTime,
MIN(query_stats.min_elapsed_time ) AS MinElapsedTime,
MAX(query_stats.max_elapsed_time ) AS MaxElapsedTime,
SUM(query_stats.total_elapsed_time ) /
SUM(query_stats.execution_count) AS AvgElapsedTime,
MIN(query_stats.creation_time ) AS MinCreationTime,
MAX(query_stats.last_execution_time ) AS LastExecuteTime
FROM
(SELECT QS.query_hash
,QS.total_worker_time
,QS.execution_count
,QS.min_worker_time
,QS.max_worker_time
,QS.min_physical_reads
,QS.max_physical_reads
,QS.total_physical_reads
,QS.total_logical_writes
,QS.min_logical_writes
,QS.max_logical_writes
,QS.min_logical_reads
,QS.max_logical_reads
,QS.total_logical_reads
,QS.min_elapsed_time
,QS.max_elapsed_time
,QS.total_elapsed_time
,QS.creation_time
,QS.last_execution_time
,SUBSTRING(ST.text, (QS.statement_start_offset/2) + 1,
((CASE statement_end_offset
WHEN -1 THEN DATALENGTH(ST.text)
ELSE QS.statement_end_offset END
- QS.statement_start_offset)/2) + 1) AS statement_text
FROM sys.dm_exec_query_stats AS QS
CROSS APPLY sys.dm_exec_sql_text(QS.sql_handle) as ST) as query_stats
WHERE execution_count > 1
and last_execution_time >= dateadd(hour,-3,getdate())
GROUP BY query_stats.query_hash)
select
QueryHash,
AvgCPU_Time,
ExecutionCount,
TotalWorkerTime,
StatementText,
MinWorkerTime,
MaxWorkerTime,
TotalPhysicalReads,
MinPhysicalReads,
MaxPhysicalReads,
AvgPhysicalReads,
TotalLogicalWrites,
MinLogicalWrites,
MaxLogicalWrites,
AvgLogicalWrites,
TotalLogicalReads,
MinLogicalReads,
MaxLogicalReads,
AvgLogicalReads,
TotalElapsedTime,
MinElapsedTime,
MaxElapsedTime,
AvgElapsedTime,
MinCreationTime,
LastExecuteTime
from info
GO
Aquí se utilizan las siguientes consultas del sistema:sys.dm_exec_query_stats y sys.dm_exec_sql_text.
2.2. Para procedimientos almacenados:
USE [DATABASE_NAME]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE view [srv].[vProcedureExecInfo] as
with info as (
SELECT
procedure_stats.database_id AS database_id,
procedure_stats.object_id AS object_id,
MIN(procedure_stats.type) AS type,
SUM(procedure_stats.total_worker_time ) /
SUM(procedure_stats.execution_count) AS AvgCPU_Time,
SUM(procedure_stats.execution_count ) AS ExecutionCount,
SUM(procedure_stats.total_worker_time ) AS TotalWorkerTime,
MIN(procedure_stats.ProcedureText ) AS ProcedureText,
MIN(procedure_stats.min_worker_time ) AS MinWorkerTime,
MAX(procedure_stats.max_worker_time ) AS MaxWorkerTime,
SUM(procedure_stats.total_physical_reads) AS TotalPhysicalReads,
MIN(procedure_stats.min_physical_reads ) AS MinPhysicalReads,
MAX(procedure_stats.max_physical_reads ) AS MaxPhysicalReads,
SUM(procedure_stats.total_physical_reads) /
SUM(procedure_stats.execution_count) AS AvgPhysicalReads,
SUM(procedure_stats.total_logical_writes) AS TotalLogicalWrites,
MIN(procedure_stats.min_logical_writes ) AS MinLogicalWrites,
MAX(procedure_stats.max_logical_writes ) AS MaxLogicalWrites,
SUM(procedure_stats.total_logical_writes) /
SUM(procedure_stats.execution_count) AS AvgLogicalWrites,
SUM(procedure_stats.total_logical_reads ) AS TotalLogicalReads,
MIN(procedure_stats.min_logical_reads ) AS MinLogicalReads,
MAX(procedure_stats.max_logical_reads ) AS MaxLogicalReads,
SUM(procedure_stats.total_logical_reads ) /
SUM(procedure_stats.execution_count) AS AvgLogicalReads,
SUM(procedure_stats.total_elapsed_time ) AS TotalElapsedTime,
MIN(procedure_stats.min_elapsed_time ) AS MinElapsedTime,
MAX(procedure_stats.max_elapsed_time ) AS MaxElapsedTime,
SUM(procedure_stats.total_elapsed_time ) /
SUM(procedure_stats.execution_count) AS AvgElapsedTime,
MIN(procedure_stats.cached_time ) AS MinCachedTime,
MAX(procedure_stats.last_execution_time ) AS LastExecuteTime
FROM
(SELECT QS.database_id
,QS.object_id
,QS.type
,QS.total_worker_time
,QS.execution_count
,QS.min_worker_time
,QS.max_worker_time
,QS.min_physical_reads
,QS.max_physical_reads
,QS.total_physical_reads
,QS.total_logical_writes
,QS.min_logical_writes
,QS.max_logical_writes
,QS.min_logical_reads
,QS.max_logical_reads
,QS.total_logical_reads
,QS.min_elapsed_time
,QS.max_elapsed_time
,QS.total_elapsed_time
,QS.cached_time
,QS.last_execution_time
,ST.text as Proceduretext
FROM sys.dm_exec_Procedure_stats AS QS
CROSS APPLY sys.dm_exec_sql_text(QS.sql_handle) as ST) as procedure_stats
WHERE execution_count > 1
and last_execution_time >= dateadd(hour,-3,getdate())
GROUP BY database_id,object_id)
select
database_id,
object_id,
type,
AvgCPU_Time,
ExecutionCount,
TotalWorkerTime,
ProcedureText,
MinWorkerTime,
MaxWorkerTime,
TotalPhysicalReads,
MinPhysicalReads,
MaxPhysicalReads,
AvgPhysicalReads,
TotalLogicalWrites,
MinLogicalWrites,
MaxLogicalWrites,
AvgLogicalWrites,
TotalLogicalReads,
MinLogicalReads,
MaxLogicalReads,
AvgLogicalReads,
TotalElapsedTime,
MinElapsedTime,
MaxElapsedTime,
AvgElapsedTime,
MinCachedTime,
LastExecuteTime
from info
GO Aquí, se utilizan las siguientes consultas del sistema:sys.dm_exec_Procedure_stats y sys.dm_exec_sql_text.
2.3. Para disparadores:
USE [DATABASE_NAME]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE view [srv].[vTriggerExecInfo] as
with info as (
SELECT
procedure_stats.database_id AS database_id,
procedure_stats.object_id AS object_id,
MIN(procedure_stats.type) AS type,
SUM(procedure_stats.total_worker_time ) /
SUM(procedure_stats.execution_count) AS AvgCPU_Time,
SUM(procedure_stats.execution_count ) AS ExecutionCount,
SUM(procedure_stats.total_worker_time ) AS TotalWorkerTime,
MIN(procedure_stats.ProcedureText ) AS ProcedureText,
MIN(procedure_stats.min_worker_time ) AS MinWorkerTime,
MAX(procedure_stats.max_worker_time ) AS MaxWorkerTime,
SUM(procedure_stats.total_physical_reads) AS TotalPhysicalReads,
MIN(procedure_stats.min_physical_reads ) AS MinPhysicalReads,
MAX(procedure_stats.max_physical_reads ) AS MaxPhysicalReads,
SUM(procedure_stats.total_physical_reads) /
SUM(procedure_stats.execution_count) AS AvgPhysicalReads,
SUM(procedure_stats.total_logical_writes) AS TotalLogicalWrites,
MIN(procedure_stats.min_logical_writes ) AS MinLogicalWrites,
MAX(procedure_stats.max_logical_writes ) AS MaxLogicalWrites,
SUM(procedure_stats.total_logical_writes) /
SUM(procedure_stats.execution_count) AS AvgLogicalWrites,
SUM(procedure_stats.total_logical_reads ) AS TotalLogicalReads,
MIN(procedure_stats.min_logical_reads ) AS MinLogicalReads,
MAX(procedure_stats.max_logical_reads ) AS MaxLogicalReads,
SUM(procedure_stats.total_logical_reads ) /
SUM(procedure_stats.execution_count) AS AvgLogicalReads,
SUM(procedure_stats.total_elapsed_time ) AS TotalElapsedTime,
MIN(procedure_stats.min_elapsed_time ) AS MinElapsedTime,
MAX(procedure_stats.max_elapsed_time ) AS MaxElapsedTime,
SUM(procedure_stats.total_elapsed_time ) /
SUM(procedure_stats.execution_count) AS AvgElapsedTime,
MIN(procedure_stats.cached_time ) AS MinCachedTime,
MAX(procedure_stats.last_execution_time ) AS LastExecuteTime
FROM
(SELECT QS.database_id
,QS.object_id
,QS.type
,QS.total_worker_time
,QS.execution_count
,QS.min_worker_time
,QS.max_worker_time
,QS.min_physical_reads
,QS.max_physical_reads
,QS.total_physical_reads
,QS.total_logical_writes
,QS.min_logical_writes
,QS.max_logical_writes
,QS.min_logical_reads
,QS.max_logical_reads
,QS.total_logical_reads
,QS.min_elapsed_time
,QS.max_elapsed_time
,QS.total_elapsed_time
,QS.cached_time
,QS.last_execution_time
,ST.text as Proceduretext
FROM sys.dm_exec_trigger_stats AS QS
CROSS APPLY sys.dm_exec_sql_text(QS.sql_handle) as ST) as procedure_stats
WHERE execution_count > 1
and last_execution_time >= dateadd(hour,-3,getdate())
GROUP BY database_id,object_id)
select
database_id,
object_id,
type,
AvgCPU_Time,
ExecutionCount,
TotalWorkerTime,
ProcedureText,
MinWorkerTime,
MaxWorkerTime,
TotalPhysicalReads,
MinPhysicalReads,
MaxPhysicalReads,
AvgPhysicalReads,
TotalLogicalWrites,
MinLogicalWrites,
MaxLogicalWrites,
AvgLogicalWrites,
TotalLogicalReads,
MinLogicalReads,
MaxLogicalReads,
AvgLogicalReads,
TotalElapsedTime,
MinElapsedTime,
MaxElapsedTime,
AvgElapsedTime,
MinCachedTime,
LastExecuteTime
from info
GO Aquí se utilizan las siguientes consultas del sistema:sys.dm_exec_trigger_stats y sys.dm_exec_sql_text.
3. Creación de procedimientos almacenados para la recopilación de información.
3.1. Para consultas:
USE [DATABASE_NAME]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE PROCEDURE [srv].[InsertForSQL_StatementExecStat]
@koef decimal(12,2)=0.0 –collection coefficient
--is picked in an experimental way for more exact collection,
--in most cases, we can put 0.0,
--if frequency of the collection running does not exceed 5 minutes.
--Accuracy of calculation depends on the collection frequency and collection coefficient.
--The more frequent collection running is, the less influence collection coefficient has.
AS
BEGIN
SET NOCOUNT ON;
declare @AvgCPU_Time bigint
,@MaxAvgCPU_Time bigint
,@AvgTotalWorkerTime bigint
,@MaxTotalWorkerTime bigint
,@AvgAvgElapsedTime bigint
,@MaxAvgElapsedTime bigint
,@AvgTotalElapsedTime bigint
,@MaxTotalElapsedTime bigint
select
@AvgCPU_Time = AVG(AvgCPU_Time),
@MaxAvgCPU_Time = max(AvgCPU_Time),
@AvgTotalWorkerTime = AVG(TotalWorkerTime),
@MaxTotalWorkerTime = max(TotalWorkerTime),
@AvgAvgElapsedTime = AVG(AvgElapsedTime),
@MaxAvgElapsedTime = max(AvgElapsedTime),
@AvgTotalElapsedTime = AVG(TotalElapsedTime),
@MaxTotalElapsedTime = max(TotalElapsedTime)
from srv.vStatementExecInfo;
insert into srv.SQL_StatementExecStat
(
[InsertDate]
,[QueryHash]
,[ExecutionCount]
,[TotalWorkerTime]
,[StatementText]
,[TotalElapsedTime])
select
getdate()
,[QueryHash]
,[ExecutionCount]
,[TotalWorkerTime]
,[StatementText]
,[TotalElapsedTime]
from srv.vStatementExecInfo
where(AvgCPU_Time > @AvgCPU_Time + @koef * (@MaxAvgCPU_Time - @AvgCPU_Time))
or (TotalWorkerTime > @AvgTotalWorkerTime + @koef * (@MaxTotalWorkerTime - @AvgTotalWorkerTime))
or (AvgElapsedTime > @AvgAvgElapsedTime + @koef * (@MaxAvgElapsedTime - @AvgAvgElapsedTime))
or (TotalElapsedTime > @AvgTotalElapsedTime + @koef * (@MaxTotalElapsedTime - @AvgTotalElapsedTime));
END
GO 3.2. Para procedimientos almacenados:
USE [DATABASE_NAME]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE PROCEDURE [srv].[InsertForProcedureExecStat]
@koef decimal(12,2)=0.0 --collection coefficient
--is picked in an experimental way for more exact collection,
--in most cases, we can put 0.0,
-- if frequency of the collection running does not exceed 5 minutes.
--Accuracy of calculation depends on the collection frequency and collection coefficient.
--The more frequent collection running is, the less influence collection coefficient has.
AS
BEGIN
SET NOCOUNT ON;
declare @AvgCPU_Time bigint
,@MaxAvgCPU_Time bigint
,@AvgTotalWorkerTime bigint
,@MaxTotalWorkerTime bigint
,@AvgAvgElapsedTime bigint
,@MaxAvgElapsedTime bigint
,@AvgTotalElapsedTime bigint
,@MaxTotalElapsedTime bigint;
select
@AvgCPU_Time = AVG(AvgCPU_Time),
@MaxAvgCPU_Time = max(AvgCPU_Time),
@AvgTotalWorkerTime = AVG(TotalWorkerTime),
@MaxTotalWorkerTime = max(TotalWorkerTime),
@AvgAvgElapsedTime = AVG(AvgElapsedTime),
@MaxAvgElapsedTime = max(AvgElapsedTime),
@AvgTotalElapsedTime = AVG(TotalElapsedTime),
@MaxTotalElapsedTime = max(TotalElapsedTime)
from srv.vProcedureExecInfo;
insert into srv.SQL_ProcedureExecStat
(
[InsertDate]
,database_id
,object_id
,[ExecutionCount]
,[TotalWorkerTime]
,[TotalElapsedTime]
,[TotalPhysicalReads]
,[TotalLogicalReads]
,[TotalLogicalWrites])
select
getdate()
,database_id
,object_id
,[ExecutionCount]
,[TotalWorkerTime]
,[TotalElapsedTime]
,[TotalPhysicalReads]
,[TotalLogicalReads]
,[TotalLogicalWrites]
from srv.vProcedureExecInfo
where(AvgCPU_Time > @AvgCPU_Time + @koef * (@MaxAvgCPU_Time - @AvgCPU_Time))
or (TotalWorkerTime > @AvgTotalWorkerTime + @koef * (@MaxTotalWorkerTime - @AvgTotalWorkerTime))
or (AvgElapsedTime > @AvgAvgElapsedTime + @koef * (@MaxAvgElapsedTime - @AvgAvgElapsedTime))
or (TotalElapsedTime > @AvgTotalElapsedTime + @koef * (@MaxTotalElapsedTime - @AvgTotalElapsedTime));
END
GO 3.3. Para disparadores:
USE [DATABASE_NAME]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE PROCEDURE [srv].[InsertForTriggerExecStat]
@koef decimal(12,2)=0.0 --collection coefficient
--is picked in an experimental way for more exact collection,
--in most cases, we can put 0.0,
--if frequency of the collection running does not exceed 5 minutes.
--Accuracy of calculation depends on the collection frequency and collection coefficient.
--The more frequent collection running is, the less influence collection coefficient has.
AS
BEGIN
SET NOCOUNT ON;
declare @AvgCPU_Time bigint
,@MaxAvgCPU_Time bigint
,@AvgTotalWorkerTime bigint
,@MaxTotalWorkerTime bigint
,@AvgAvgElapsedTime bigint
,@MaxAvgElapsedTime bigint
,@AvgTotalElapsedTime bigint
,@MaxTotalElapsedTime bigint
select
@AvgCPU_Time = AVG(AvgCPU_Time),
@MaxAvgCPU_Time = max(AvgCPU_Time),
@AvgTotalWorkerTime = AVG(TotalWorkerTime),
@MaxTotalWorkerTime = max(TotalWorkerTime),
@AvgAvgElapsedTime = AVG(AvgElapsedTime),
@MaxAvgElapsedTime = max(AvgElapsedTime),
@AvgTotalElapsedTime = AVG(TotalElapsedTime),
@MaxTotalElapsedTime = max(TotalElapsedTime)
from srv.vProcedureExecInfo;
insert into srv.SQL_TriggerExecStat
(
[InsertDate]
,database_id
,object_id
,[ExecutionCount]
,[TotalWorkerTime]
,[TotalElapsedTime])
select
getdate()
,database_id
,object_id
,[ExecutionCount]
,[TotalWorkerTime]
,[TotalElapsedTime]
from srv.vTriggerExecInfo
where(AvgCPU_Time > @AvgCPU_Time + @koef * (@MaxAvgCPU_Time - @AvgCPU_Time))
or (TotalWorkerTime > @AvgTotalWorkerTime + @koef * (@MaxTotalWorkerTime - @AvgTotalWorkerTime))
or (AvgElapsedTime > @AvgAvgElapsedTime + @koef * (@MaxAvgElapsedTime - @AvgAvgElapsedTime))
or (TotalElapsedTime > @AvgTotalElapsedTime + @koef * (@MaxTotalElapsedTime - @AvgTotalElapsedTime));
END
GO 4. Creación de una vista para la salida de información.
4.1. Para consultas:
USE [DATABASE_NAME]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE VIEW [srv].[vStatementExecTotalInfo]
as
select ExecutionCount as Num
,TotalWorkerTime as TotalWorkerTime
,TotalElapsedTime as TotalElapsedTime
,convert(decimal(8,2),AvgCPU_Time/1000000.) as AvgWorkerSec
,convert(decimal(8,2),AvgElapsedTime/1000000.) as AvgElapsedSec
,...
,QueryHash
,StatementText
from [SRV].[srv].[vStatementExecInfo];
GO 4.2. Para procedimientos almacenados:
USE [DATABASE_NAME]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE VIEW [srv].[vProcedureExecTotalInfo]
as
select ExecutionCount as Num
,TotalWorkerTime as TotalWorkerTime
,TotalElapsedTime as TotalElapsedTime
,convert(decimal(8,2),AvgCPU_Time/1000000.) as AvgWorkerSec
,convert(decimal(8,2),AvgElapsedTime/1000000.) as AvgElapsedSec
,...
,database_id
,object_id
,db_name(database_id) as DB_Name
,OBJECT_SCHEMA_NAME(object_id, database_id) as Schema_Name
,object_name(object_id, database_id) as Procedure_Name
from [SRV].[srv].[vProcedureExecInfo];
GO 4.3. Las vistas para disparadores se crean de manera similar (si es necesario). En cuanto a mí, no necesito activadores de seguimiento, ya que si hay algún problema con los activadores, la ejecución de los procedimientos almacenados y las consultas lo mostrarán.
Los siguientes dos parámetros tienen una importancia vital para las vistas implementadas:
- AvgWorkerSec — tiempo de ejecución de la consulta en segundos.
- AvgElapsedSec:tiempo de espera o tiempo de espera+AvgWorkerSec.
En cuanto a los resultados de las vistas, es importante la siguiente igualdad:
AvgWorkerSec=AvgElapsedSec
- AvgWorkerSec>AvgElapsedSec:aquí algo carga mucho el procesador en el momento de la ejecución de la consulta (resultó que el análisis del software antivirus se estaba ejecutando; también puede ser culpa del plan en paralelo).
- AvgWorkerSec
Si se cumple AvgWorkerSec=AvgElapsedSec, el largo tiempo de ejecución está relacionado con la consulta en sí y su tiempo de ejecución.
¿Cuál es un criterio de ejecución de consulta larga?
No hay respuesta absoluta a esta pregunta. Depende de lo que hace una consulta, dónde y cómo se usa, etc.
Tengo la siguiente evaluación para las consultas ad hoc y los procedimientos almacenados:
- Hasta 0.5:bueno para procedimientos almacenados, sin problemas (sin esperas de ejecución).
- Hasta 0.1:bueno para consultas, sin problemas (sin esperas de ejecución).
- 0.5 — 1.0:malo para los procedimientos almacenados, hay problemas (no hay esperas de ejecución que sean visibles para un usuario, pero aún existen y requieren solución).
- 0.1 — 0.5:malo para las consultas, hay problemas (no hay esperas de ejecución que sean visibles para un usuario, pero aún existen y requieren solución).
- Más de 1.0:malo para los procedimientos almacenados, hay problemas (existe una alta probabilidad de que haya esperas visibles para los usuarios, el problema requiere una solución inmediata).
- Más de 0,5:malo para las consultas, hay problemas (existe una alta probabilidad de que haya esperas visibles para los usuarios, el problema requiere una solución inmediata).
En cuanto a las consultas no ad hoc (carga de datos, carga de datos), la evaluación anterior se selecciona de forma individual. Por lo general, supera con creces las evaluaciones de consultas ad hoc y procedimientos almacenados.
Si todo el software funciona a través de los procedimientos almacenados, solo puede rastrear los procedimientos almacenados, ya que el trabajo de las consultas siempre afecta el trabajo de los procedimientos almacenados. Por eso, fijémonos en el análisis de la ejecución de los procedimientos almacenados.
Vamos a crear un sistema de recopilación de información sobre los procedimientos almacenados más pesados para su posterior análisis y ejecución de autotrace, según el siguiente algoritmo:
1. Creación de una tabla para almacenar información:
USE [DATABASE_NAME]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [srv].[SQL_TopProcedureExecStat](
[Row_GUID] [uniqueidentifier] NOT NULL,
[SERVER] [nvarchar](255) NOT NULL,
[DB_ID] [int] NOT NULL,
[OBJECT_ID] [int] NOT NULL,
[ExecutionCount] [bigint] NOT NULL,
[TotalWorkerTime] [bigint] NULL,
[TotalElapsedTime] [bigint] NULL,
[Func] [decimal](8, 2) NULL,
[AvgWorkerSec] [decimal](8, 2) NULL,
[AvgElapsedSec] [decimal](8, 2) NULL,
[DB_NAME] [nvarchar](255) NULL,
[SCHEMA_NAME] [nvarchar](255) NULL,
[OBJECT_NAME] [nvarchar](255) NULL,
[InsertUTCDate] [datetime] NOT NULL,
[TotalPhysicalReads] [bigint] NULL,
[TotalLogicalReads] [bigint] NULL,
[TotalLogicalWrites] [bigint] NULL,
[AvgPhysicalReads] [bigint] NULL,
[AvgLogicalReads] [bigint] NULL,
[AvgLogicalWrites] [bigint] NULL,
[CategoryName] [nvarchar](255) NULL,
CONSTRAINT [PK_SQL_TopProcedureExecStat] PRIMARY KEY CLUSTERED
(
[Row_GUID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
ALTER TABLE [srv].[SQL_TopProcedureExecStat] ADD CONSTRAINT [DF_SQL_TopProcedureExecStat_Row_GUID] DEFAULT (newid()) FOR [Row_GUID]
GO
ALTER TABLE [srv].[SQL_TopProcedureExecStat] ADD CONSTRAINT [DF_SQL_TopProcedureExecStat_SERVER] DEFAULT (@@servername) FOR [SERVER]
GO
ALTER TABLE [srv].[SQL_TopProcedureExecStat] ADD CONSTRAINT [DF_SQL_TopProcedureExecStat_InsertUTCDate] DEFAULT (getutcdate()) FOR [InsertUTCDate]
GO 2. Creación de un procedimiento almacenado para la recopilación de información:
USE [DATABASE_NAME]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE PROCEDURE [srv].[InsertTopProcedureExecStat]
@top tinyint=24 – number of days to store records
,@CategoryName nvarchar(255)='AvgWorkerSec' – a category for selection
AS
BEGIN
SET NOCOUNT ON;
INSERT INTO [srv].[SQL_TopProcedureExecStat]
([DB_ID]
,[OBJECT_ID]
,[ExecutionCount]
,[TotalWorkerTime]
,[TotalElapsedTime]
,[AvgWorkerSec]
,[AvgElapsedSec]
,[DB_NAME]
,[SCHEMA_NAME]
,[OBJECT_NAME]
,InsertUTCDate
,CategoryName
,TotalPhysicalReads
,TotalLogicalReads
,TotalLogicalWrites
,AvgPhysicalReads
,AvgLogicalReads
,AvgLogicalWrites)
select top(@top)
[database_id]
,[object_id]
,[Num]
,[TotalWorkerTime]
,[TotalElapsedTime]
,[AvgWorkerSec]
,[AvgElapsedSec]
,[DB_NAME]
,[SCHEMA_NAME]
,[PROCEDURE_NAME]
,InsertUTCDate
,CategoryName
,TotalPhysicalReads
,TotalLogicalReads
,TotalLogicalWrites
,AvgPhysicalReads
,AvgLogicalReads
,AvgLogicalWrites
from(
select [database_id]
,[object_id]
,[Num]
,[TotalWorkerTime]
,[TotalElapsedTime]
,[AvgWorkerSec]
,[AvgElapsedSec]
,[DB_NAME]
,[SCHEMA_NAME]
,[PROCEDURE_NAME]
,getUTCDate() as InsertUTCDate
,@CategoryName as CategoryName
,TotalPhysicalReads
,TotalLogicalReads
,TotalLogicalWrites
,AvgPhysicalReads
,AvgLogicalReads
,AvgLogicalWrites
FROM [srv].[vProcedureExecTotalInfoHour]
) as t
order by
case @CategoryName
when 'TotalWorkerTime' then TotalWorkerTime
when 'TotalElapsedTime' then TotalElapsedTime
when 'AvgWorkerSec' then AvgWorkerSec
when 'AvgElapsedSec' then AvgElapsedSec
when 'TotalPhysicalReads' then TotalPhysicalReads
when 'TotalLogicalReads' then TotalLogicalReads
when 'TotalLogicalWrites' then TotalLogicalWrites
when 'AvgPhysicalReads' then AvgPhysicalReads
when 'AvgLogicalReads' then AvgLogicalReads
when 'AvgLogicalWrites' then AvgLogicalWrites
end
desc;
declare @count int=(select count(*) from [srv].[SQL_TopProcedureExecStat] where [email protected]);
declare @diff [email protected]@top;
;with tbl_del as(
select
Row_GUID
from [srv].[SQL_TopProcedureExecStat]
where InsertUTCDate<DateAdd(hour,-24,getUTCDate()) and [email protected] ) delete from [srv].[SQL_TopProcedureExecStat] where Row_GUID in (select Row_GUID from tbl_del); --if table contains more records that it is specified in @top, the most insignificant records are deleted set @count = (select count(*) from [srv].[SQL_TopProcedureExecStat] where [email protected]) set @diff = @count - @Top - 3 if(@diff>0)
begin
;with tbl_del as(
select top(@diff)
Row_GUID
from [srv].[SQL_TopProcedureExecStat]
where [email protected]
order by
case @CategoryName
when 'TotalWorkerTime' then TotalWorkerTime
when 'TotalElapsedTime' then TotalElapsedTime
when 'AvgWorkerSec' then AvgWorkerSec
when 'AvgElapsedSec' then AvgElapsedSec
when 'TotalPhysicalReads' then TotalPhysicalReads
when 'TotalLogicalReads' then TotalLogicalReads
when 'TotalLogicalWrites' then TotalLogicalWrites
when 'AvgPhysicalReads' then AvgPhysicalReads
when 'AvgLogicalReads' then AvgLogicalReads
when 'AvgLogicalWrites' then AvgLogicalWrites
end
)
delete from [srv].[SQL_TopProcedureExecStat]
where Row_GUID in (select Row_GUID from tbl_del);
end
declare @DB_ID int
declare @OBJECT_ID int
declare @top1 int = 3
declare @diff1 int
declare @count1 int
-- deletion of more than @top1 times repeats of the specific procedure
select top (1)
@count1 = tp.num
,@DB_ID = tp.DB_ID
,@OBJECT_ID = tp.OBJECT_ID
from
(select count(*) as num, DB_ID, OBJECT_ID
from [srv].[SQL_TopProcedureExecStat]
where [email protected]
group by DB_ID, OBJECT_ID) as tp
order by tp.num desc;
set @diff1 = @count1 - @top1;
if(@diff1) > 0
begin
;with tbl_del as(
select top(@diff1)
Row_GUID
from [srv].[SQL_TopProcedureExecStat]
where DB_ID = @DB_ID and OBJECT_ID = @OBJECT_ID
and [email protected]
order by
case @CategoryName
when 'TotalWorkerTime' then TotalWorkerTime
when 'TotalElapsedTime' then TotalElapsedTime
when 'AvgWorkerSec' then AvgWorkerSec
when 'AvgElapsedSec' then AvgElapsedSec
when 'TotalPhysicalReads' then TotalPhysicalReads
when 'TotalLogicalReads' then TotalLogicalReads
when 'TotalLogicalWrites' then TotalLogicalWrites
when 'AvgPhysicalReads' then AvgPhysicalReads
when 'AvgLogicalReads' then AvgLogicalReads
when 'AvgLogicalWrites' then AvgLogicalWrites
end
)
delete from [srv].[SQL_TopProcedureExecStat]
where Row_GUID in (select Row_GUID from tbl_del);
end
-- deletion of more than 1 repeats of the AvgWorkerSec parameter for the specific procedure
if @CategoryName = 'AvgWorkerSec'
begin
declare @AvgWorkerSec decimal(8,2)
select top (1)
@count1 = tp.num
,@DB_ID = tp.DB_ID
,@OBJECT_ID = tp.OBJECT_ID
,@AvgWorkerSec = tp.AvgWorkerSec
from
(select count(*) as num, DB_ID, OBJECT_ID, AvgWorkerSec
from [srv].[SQL_TopProcedureExecStat]
where [email protected]
group by DB_ID, OBJECT_ID,AvgWorkerSec) as tp
order by tp.num desc;
set @diff1 = @count1 - 1;
if(@diff1) > 0
begin
;with tbl_del as(
select top(@diff1)
Row_GUID
from [srv].[SQL_TopProcedureExecStat]
where DB_ID = @DB_ID and OBJECT_ID = @OBJECT_ID
and [email protected] and AvgWorkerSec = @AvgWorkerSec
order by InsertUTCDate desc
)
delete from [srv].[SQL_TopProcedureExecStat]
where Row_GUID in (select Row_GUID from tbl_del);
end
end
if @CategoryName = 'AvgElapsedSec'
begin
declare @AvgElapsedSec decimal(8,2)
select top (1)
@count1 = tp.num
,@DB_ID = tp.DB_ID
,@OBJECT_ID = tp.OBJECT_ID
,@AvgElapsedSec = tp.AvgElapsedSec
from
(select count(*) as num, DB_ID, OBJECT_ID, AvgElapsedSec
from [srv].[SQL_TopProcedureExecStat]
where [email protected]
group by DB_ID, OBJECT_ID,AvgElapsedSec) as tp
order by tp.num desc;
set @diff1 = @count1 - 1;
if(@diff1) > 0
begin
;with tbl_del as(
select top(@diff1)
Row_GUID
from [srv].[SQL_TopProcedureExecStat]
where DB_ID = @DB_ID and OBJECT_ID = @OBJECT_ID
and [email protected] and AvgElapsedSec = @AvgElapsedSec
order by InsertUTCDate desc
)
delete from [srv].[SQL_TopProcedureExecStat]
where Row_GUID in (select Row_GUID from tbl_del);
end
end
END
GO It is better to run this stored procedure immediately after collecting information about the stored procedures (we can set up a task in Agent for running it every 5-10 minutes for queries, stored procedures and triggers):
exec [srv].[InsertForSQL_StatementExecStat]; --collecting information about executed queries exec [srv].[InsertForTriggerExecStat]; --collecting information about executed triggers exec [srv].[InsertForProcedureExecStat]; --collecting information about executed stored procedures --collecting information about the most heavy executed stored procedures, according to the criteria exec [srv].[InsertTopProcedureExecStat] @[email protected], @CategoryName='AvgWorkerSec'; exec [srv].[InsertTopProcedureExecStat] @[email protected], @CategoryName='AvgElapsedSec'
3. Running trace (every 5-10 minutes with the help of the Agent tasks, preferably right after collecting information):
USE [DATABASE_NAME];
go
--coefficient of transition value of indicator
declare @koef_red numeric(8,3)=1.3;
--if there are records with the indicator greater than or equal to the
--preset indicator coefficient
if(exists(
SELECT top(1) 1
FROM [srv].[SQL_TopProcedureExecStat]
where CategoryName='AvgElapsedSec'
or CategoryName='AvgWorkerSec'
group by CategoryName
having avg([AvgElapsedSec])>[email protected]_red
or avg([AvgWorkerSec])>[email protected]_red))
begin
--running autorace
exec .[srv].[AutoTrace];
end The auto-trace stored procedure is implemented on an individual basis. Por ejemplo:
USE [DATABASE_NAME]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE PROCEDURE [srv].[AutoTrace]
@maxfilesize bigint=200 --maximum file size in Mb
,@run_minutes int=60 --tracing length in minutes
,@file_patch nvarchar(255)=N'Path to directory' --directory for trace file
,@file_name nvarchar(255)=N'Profiler' --file name
,@res_msg nvarchar(255)=NULL output --result in the form of messages
AS
BEGIN
SET NOCOUNT ON;
declare @rc int;
declare @TraceID int;
if(@run_minutes>=1200) set @run_minutes=1200; --no longer than 20 hours!
declare @finish_dt datetime=DateAdd(minute,@run_minutes,GetDate()); --execution end time
--end of trace file
declare @finish_dt_inc nvarchar(255)=N'_'+cast(YEAR(@finish_dt) as nvarchar(255))+'_'+cast(MONTH(@finish_dt) as nvarchar(255))+'_'+cast(DAY(@finish_dt) as nvarchar(255));
declare @File nvarchar(255)[email protected]@[email protected]_dt_inc; --full name of the trace file
DECLARE @result bit;
DECLARE @msgerrors nvarchar(255);
DECLARE @oldDT datetime;
--Getting the last date and time
if(object_id('DATABASE_NAME.dbo.TraceTable')<>0)
begin
select @oldDT=max(StartTime)
from DATABASE_NAME.dbo.TraceTable
where StartTime is not null;
end
--select @oldDT;
--If the last date and time is not specified or it is less than time of trace ending,trace is run. Otherwise, the trace was executed on this date.
if(@oldDT is null or @oldDT<DATETIMEFROMPARTS(YEAR(@finish_dt), MONTH(@finish_dt), DAY(@finish_dt), 0, 0, 0, 0))
begin
--creating trace
exec @rc = sp_trace_create
@[email protected] output, --Trace ID
@Options=0, --tracing options (by default)
@[email protected], --trace file destination
@[email protected], --maximum size of the trace file (when reaching maximum size, trace stops)
@[email protected]_dt--, --end data and time of trace
[email protected]=2; --number of files, at which the previous files are deleted (that are not used in the given set of trace options)
--if the trace is created without errors (code 0), we can set up and tun it
if (@rc = 0)
begin
-- Setting event for trace
declare @on bit
set @on = 1
exec sp_trace_setevent @TraceID, 10, 1, @on
exec sp_trace_setevent @TraceID, 10, 9, @on
exec sp_trace_setevent @TraceID, 10, 2, @on
exec sp_trace_setevent @TraceID, 10, 66, @on
exec sp_trace_setevent @TraceID, 10, 10, @on
exec sp_trace_setevent @TraceID, 10, 3, @on
exec sp_trace_setevent @TraceID, 10, 4, @on
exec sp_trace_setevent @TraceID, 10, 6, @on
exec sp_trace_setevent @TraceID, 10, 7, @on
exec sp_trace_setevent @TraceID, 10, 8, @on
exec sp_trace_setevent @TraceID, 10, 11, @on
exec sp_trace_setevent @TraceID, 10, 12, @on
exec sp_trace_setevent @TraceID, 10, 13, @on
exec sp_trace_setevent @TraceID, 10, 14, @on
exec sp_trace_setevent @TraceID, 10, 15, @on
exec sp_trace_setevent @TraceID, 10, 16, @on
exec sp_trace_setevent @TraceID, 10, 17, @on
exec sp_trace_setevent @TraceID, 10, 18, @on
exec sp_trace_setevent @TraceID, 10, 25, @on
exec sp_trace_setevent @TraceID, 10, 26, @on
exec sp_trace_setevent @TraceID, 10, 31, @on
exec sp_trace_setevent @TraceID, 10, 34, @on
exec sp_trace_setevent @TraceID, 10, 35, @on
exec sp_trace_setevent @TraceID, 10, 41, @on
exec sp_trace_setevent @TraceID, 10, 48, @on
exec sp_trace_setevent @TraceID, 10, 49, @on
exec sp_trace_setevent @TraceID, 10, 50, @on
exec sp_trace_setevent @TraceID, 10, 51, @on
exec sp_trace_setevent @TraceID, 10, 60, @on
exec sp_trace_setevent @TraceID, 10, 64, @on
exec sp_trace_setevent @TraceID, 12, 1, @on
exec sp_trace_setevent @TraceID, 12, 9, @on
exec sp_trace_setevent @TraceID, 12, 3, @on
exec sp_trace_setevent @TraceID, 12, 11, @on
exec sp_trace_setevent @TraceID, 12, 4, @on
exec sp_trace_setevent @TraceID, 12, 6, @on
exec sp_trace_setevent @TraceID, 12, 7, @on
exec sp_trace_setevent @TraceID, 12, 8, @on
exec sp_trace_setevent @TraceID, 12, 10, @on
exec sp_trace_setevent @TraceID, 12, 12, @on
exec sp_trace_setevent @TraceID, 12, 13, @on
exec sp_trace_setevent @TraceID, 12, 14, @on
exec sp_trace_setevent @TraceID, 12, 15, @on
exec sp_trace_setevent @TraceID, 12, 16, @on
exec sp_trace_setevent @TraceID, 12, 17, @on
exec sp_trace_setevent @TraceID, 12, 18, @on
exec sp_trace_setevent @TraceID, 12, 26, @on
exec sp_trace_setevent @TraceID, 12, 31, @on
exec sp_trace_setevent @TraceID, 12, 35, @on
exec sp_trace_setevent @TraceID, 12, 41, @on
exec sp_trace_setevent @TraceID, 12, 48, @on
exec sp_trace_setevent @TraceID, 12, 49, @on
exec sp_trace_setevent @TraceID, 12, 50, @on
exec sp_trace_setevent @TraceID, 12, 51, @on
exec sp_trace_setevent @TraceID, 12, 60, @on
exec sp_trace_setevent @TraceID, 12, 64, @on
exec sp_trace_setevent @TraceID, 12, 66, @on
exec sp_trace_setevent @TraceID, 13, 1, @on
exec sp_trace_setevent @TraceID, 13, 9, @on
exec sp_trace_setevent @TraceID, 13, 3, @on
exec sp_trace_setevent @TraceID, 13, 11, @on
exec sp_trace_setevent @TraceID, 13, 4, @on
exec sp_trace_setevent @TraceID, 13, 6, @on
exec sp_trace_setevent @TraceID, 13, 7, @on
exec sp_trace_setevent @TraceID, 13, 8, @on
exec sp_trace_setevent @TraceID, 13, 10, @on
exec sp_trace_setevent @TraceID, 13, 12, @on
exec sp_trace_setevent @TraceID, 13, 14, @on
exec sp_trace_setevent @TraceID, 13, 26, @on
exec sp_trace_setevent @TraceID, 13, 35, @on
exec sp_trace_setevent @TraceID, 13, 41, @on
exec sp_trace_setevent @TraceID, 13, 49, @on
exec sp_trace_setevent @TraceID, 13, 50, @on
exec sp_trace_setevent @TraceID, 13, 51, @on
exec sp_trace_setevent @TraceID, 13, 60, @on
exec sp_trace_setevent @TraceID, 13, 64, @on
exec sp_trace_setevent @TraceID, 13, 66, @on
-- Setting filters
declare @intfilter int;
declare @bigintfilter bigint;
exec sp_trace_setfilter @TraceID, 10, 0, 7, N'Application SQL Server Profiler - fa35966e-e426-4d1a-8753-8f971cf89495';
exec sp_trace_setfilter @TraceID, 35, 0, 6, N'%DATABASE_NAME%';
exec sp_trace_setfilter @TraceID, 35, 1, 6, N'%DATABASE_NAME%';
--Running trace
exec sp_trace_setstatus @TraceID, 1;
--setting execution time wait
declare @run_delay [email protected]_minutes+1; --increase of wait for 1 minute from the preset trace execution time
declare @run_delay_hour [email protected]_delay/60; --calculation of wait hours
declare @run_delay_minute [email protected]_delay-(@run_delay/60)*60; --calculation of the remaining minutes
declare @run_delay_hour_str nvarchar(2); --string representation of hours
declare @run_delay_minute_str nvarchar(2); --string representation of minutes
--adding missing nulls for string representation of hours
if(@run_delay_hour=0) set @run_delay_hour_str='00';
else if(@run_delay_hour<10) set @run_delay_hour_str='0'+cast(@run_delay_hour as nvarchar(255)); else if(@run_delay_hour>=10) set @run_delay_hour_str=cast(@run_delay_hour as nvarchar(255));
--select @run_delay_hour, @run_delay_hour_str;
--adding missing nulls for string representation of minutes
if(@run_delay_minute=0) set @run_delay_minute_str='00';
else if(@run_delay_minute<10) set @run_delay_minute_str='0'+cast(@run_delay_minute as nvarchar(255)); else if(@run_delay_minute>=10) set @run_delay_minute_str=cast(@run_delay_minute as nvarchar(255));
--select @run_delay_minute, @run_delay_minute_str;
--the hours:minutes string representation for the wait
declare @run_delay_str nvarchar(255)[email protected]_delay_hour_str+':'[email protected]_delay_minute_str;
--wait
WAITFOR DELAY @run_delay_str;
--select @run_delay_str;
--deletion of the trace table, if it exists
if(object_id('DATABASE_NAME.dbo.TraceTable')<>0)
begin
drop table DATABASE_NAME.dbo.TraceTable;
end
--creation and filling of the trace table from the trace file
SELECT
*
INTO DATABASE_NAME.dbo.TraceTable
FROM ::fn_trace_gettable(@File+'.trc', default);
--adding extension to the full file
set @[email protected]+'.trc';
--here, we need to insert code to delete the trace file
declare @str_title nvarchar(max)='There was auto trace on the server'[email protected]@servername,
@str_pred_mess nvarchar(max)='На '[email protected]@servername+'The auto trace has been run on the server. You can view the result in the Database_Name.dbo.TraceTable table;
--here, we can send the auto trace run notification to administrator
end
--returning the result
set @res_msg=N'ErrorCode='+cast(@rc as nvarchar(255))+'\r\n'+coalesce(@msgerrors, '');
end
END
GO For more information on setting trace, refer to How to:Create a Trace (Transact-SQL).
Conclusión
In this article, we considered an example of implementation of a system for collecting information about the state of a database, that does not load the system. In case of problem detection, this system runs the preset trace and saves results into a table. This approach can be extended to several servers. In this case, we need to collect information from all servers for subsequent sending of information to administrators.
It is also important to remember about deletion of old data from the used tables. It is quite sufficient to store data within a month or two weeks.
Also read:
Implementing a Common MS SQL Server Performance Indicator
Referencias
- sys.dm_exec_trigger_stats
- sys.dm_exec_procedure_stats
- sys.dm_exec_query_stats
- sys.dm_exec_sql_text
- How to:Create a Trace (Transact-SQL)
