SQL Server Index and Statistics Maintenance performance question The 2019 Stack Overflow...
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SQL Server Index and Statistics Maintenance performance question
The 2019 Stack Overflow Developer Survey Results Are Inola hallengren Index Maintenance script - GUID IndexIndex maintenance Azure SQLQuery Performance | Update Statistics | Ola Hallengren SPsHow to maintain Index and Statistics on AWS RDS?Ola Index and Update statsSQL Maintenance script not running with SQL Server ExpressIndex Maintenance for DW- DB ( ETL process )Ola Hallengren Index Maintenance with compressed indexesIndex Maintenance - Reorganize After BIG SQL Server ShrinkIndex Maintenance with Ola starting from day x (7 or 9) till the end of month
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I tried to use IndexOptimize
stored procedure on a database with a very high number of indexes (> 250.000). The initial step where stored procedure collects data what needs to be processed takes hours, even if I set @Indexes parameter to narrow down the work.
SQL Server Maintenance Solution Version: 2019-02-10 10:40:47 SQL
Server 2017 Standard Edition with latest CU14 installed.
At a customer I saw a database with > 500.000 indexes. After 12 hours data collection step was still running.
I would expect if I set @Indexes to a single index execution should be started immediately.
Here is an example of my stored procedure call.
EXECUTE dbo.IndexOptimize
@Databases = 'db',
@Indexes = 'db.dbo.'
@FragmentationLow = NULL,
@FragmentationMedium = 'INDEX_REORGANIZE,INDEX_REBUILD_ONLINE,INDEX_REBUILD_OFFLINE',
@FragmentationHigh = 'INDEX_REBUILD_ONLINE,INDEX_REBUILD_OFFLINE',
@FragmentationLevel1 = 30,
@FragmentationLevel2 = 50,
@UpdateStatistics = 'ALL',
@OnlyModifiedStatistics = 'Y',
@LogToTable = 'Y',
@LockTimeout = 60
Can somebody share with me his experience in using IndexOptimize for a database with a very high number of indexes ?
ola-hallengren
New contributor
add a comment |
I tried to use IndexOptimize
stored procedure on a database with a very high number of indexes (> 250.000). The initial step where stored procedure collects data what needs to be processed takes hours, even if I set @Indexes parameter to narrow down the work.
SQL Server Maintenance Solution Version: 2019-02-10 10:40:47 SQL
Server 2017 Standard Edition with latest CU14 installed.
At a customer I saw a database with > 500.000 indexes. After 12 hours data collection step was still running.
I would expect if I set @Indexes to a single index execution should be started immediately.
Here is an example of my stored procedure call.
EXECUTE dbo.IndexOptimize
@Databases = 'db',
@Indexes = 'db.dbo.'
@FragmentationLow = NULL,
@FragmentationMedium = 'INDEX_REORGANIZE,INDEX_REBUILD_ONLINE,INDEX_REBUILD_OFFLINE',
@FragmentationHigh = 'INDEX_REBUILD_ONLINE,INDEX_REBUILD_OFFLINE',
@FragmentationLevel1 = 30,
@FragmentationLevel2 = 50,
@UpdateStatistics = 'ALL',
@OnlyModifiedStatistics = 'Y',
@LogToTable = 'Y',
@LockTimeout = 60
Can somebody share with me his experience in using IndexOptimize for a database with a very high number of indexes ?
ola-hallengren
New contributor
add a comment |
I tried to use IndexOptimize
stored procedure on a database with a very high number of indexes (> 250.000). The initial step where stored procedure collects data what needs to be processed takes hours, even if I set @Indexes parameter to narrow down the work.
SQL Server Maintenance Solution Version: 2019-02-10 10:40:47 SQL
Server 2017 Standard Edition with latest CU14 installed.
At a customer I saw a database with > 500.000 indexes. After 12 hours data collection step was still running.
I would expect if I set @Indexes to a single index execution should be started immediately.
Here is an example of my stored procedure call.
EXECUTE dbo.IndexOptimize
@Databases = 'db',
@Indexes = 'db.dbo.'
@FragmentationLow = NULL,
@FragmentationMedium = 'INDEX_REORGANIZE,INDEX_REBUILD_ONLINE,INDEX_REBUILD_OFFLINE',
@FragmentationHigh = 'INDEX_REBUILD_ONLINE,INDEX_REBUILD_OFFLINE',
@FragmentationLevel1 = 30,
@FragmentationLevel2 = 50,
@UpdateStatistics = 'ALL',
@OnlyModifiedStatistics = 'Y',
@LogToTable = 'Y',
@LockTimeout = 60
Can somebody share with me his experience in using IndexOptimize for a database with a very high number of indexes ?
ola-hallengren
New contributor
I tried to use IndexOptimize
stored procedure on a database with a very high number of indexes (> 250.000). The initial step where stored procedure collects data what needs to be processed takes hours, even if I set @Indexes parameter to narrow down the work.
SQL Server Maintenance Solution Version: 2019-02-10 10:40:47 SQL
Server 2017 Standard Edition with latest CU14 installed.
At a customer I saw a database with > 500.000 indexes. After 12 hours data collection step was still running.
I would expect if I set @Indexes to a single index execution should be started immediately.
Here is an example of my stored procedure call.
EXECUTE dbo.IndexOptimize
@Databases = 'db',
@Indexes = 'db.dbo.'
@FragmentationLow = NULL,
@FragmentationMedium = 'INDEX_REORGANIZE,INDEX_REBUILD_ONLINE,INDEX_REBUILD_OFFLINE',
@FragmentationHigh = 'INDEX_REBUILD_ONLINE,INDEX_REBUILD_OFFLINE',
@FragmentationLevel1 = 30,
@FragmentationLevel2 = 50,
@UpdateStatistics = 'ALL',
@OnlyModifiedStatistics = 'Y',
@LogToTable = 'Y',
@LockTimeout = 60
Can somebody share with me his experience in using IndexOptimize for a database with a very high number of indexes ?
ola-hallengren
ola-hallengren
New contributor
New contributor
edited 7 secs ago
EzLo
2,8151621
2,8151621
New contributor
asked 2 mins ago
Joerg RueschenschmidtJoerg Rueschenschmidt
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