Yet keep in mind that SQL Complete stores the history only for the queries executed via SSMS that SQL Complete is integrated with. Hence, if you’re working on a script, you get the full history related to every change you’ve made. The storage period can be any – you set it yourself in the SQL Complete options. The SQL Complete solution stores every statement that you run in a file on a disk or in a table in a database specified with a connection string. Search for a particular statement – it is convenient for any analyst working with large amounts of data.View the data in the query history for a particular period.Check the execution of SQL statements – you may define if they succeeded or failed.Particularly, note the following features provided by SQL Complete: A convenient interface makes this job more manageable. With this SSMS add-in, you can view, edit, and search T-SQL queries run in the database. SQL Complete stores the primary information about the executed SQL statements in SSMS for a specified period. Object_schema_name(st.objectid, st.dbid) '.' object_name(st.objectid, st.dbid) as ,Ĭross apply sys.dm_exec_sql_text(s.) as stĬross apply sys.dm_exec_query_plan(s.) as spĪs for the other options, it is worth highlighting the possibility of using SQL Complete in SSMS. When s.statement_end_offset =-1 then len(convert(nvarchar(MAX),st.text))*2 Order by convert(money, (qs.total_elapsed_time))/(execution_count*1000) descĮlse(substring(st.text,(s.statement_start_offset 2)/2,( Total_logical_reads total_logical_writes as ,Ĭonvert(money, (total_logical_reads total_logical_writes)/(execution_count 0.0)) as ,Ĭonvert(money, total_physical_reads/(execution_count 0.0)) as ,Ĭonvert(money, total_logical_reads/(execution_count 0.0)) as ,Ĭonvert(money, total_logical_writes/(execution_count 0.0)) as ,Ĭonvert(money, total_rows/(execution_count 0.0)) as ,Ĭonvert(money, total_dop/(execution_count 0.0)) as ,Ĭonvert(money, total_grant_kb/(execution_count 0.0)) as ,Ĭonvert(money, total_used_grant_kb/(execution_count 0.0)) as ,Ĭonvert(money, total_ideal_grant_kb/(execution_count 0.0)) as ,Ĭonvert(money, total_reserved_threads/(execution_count 0.0)) as ,Ĭonvert(money, total_used_threads/(execution_count 0.0)) as įrom sys.dm_exec_query_stats as qs with(readuncommitted) Qs.total_elapsed_time/1000 as TotDuration,Ĭonvert(money, (qs.total_elapsed_time))/(execution_count*1000)as , The option #1, for instance, lets you output 100 queries with the highest execution time (including all delays) using the following script: with s as (Ĭonvert(money, (total_worker_time))/(execution_count*1000)as , Using SQL Complete (SQL Complete\Execution History) in SSMS.Using the Query Store, starting from the 2016 version.Queries are saved in the cache via system representations (sys.dm_exec_query_stats, sys.dm_exec_sql_text, and sys.dm_exec_query_plan).When you need to review the data about executed SQL statements in SSMS for a particular period, you can use several options: For instance, there might be a need to investigate a particular work case, check the backup history, or recover a specific query if your SQL Server suffers a crash.įortunately, for any failure or routine analysis task, the full SQL Server query history is present, and there are user-friendly solutions to work with these data. Tracking back the SQL Server query history is a must in many cases. The data stored in the history of queries are among the most valuable for any DBA.
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