Statistics update on Azure SQL DB
New to Azure SQL DB. I was wondering what is the best practices for scheduling jobs like update statistics in Azure SQL DB.
Googling got a couple of blogs that uses Azure automation.
https://blogs.msdn.microsoft.com/azuresqldbsupport/2018/01/15/automating-azure-sql-db-index-and-statistic-maintenance-using-azure-automation/
Is that the best way to do this? Just looking for some suggestions on the pros and cons of this approach. I will be testing this soon.
sql-server azure-sql-database azure
asked Jun 11 '18 at 3:20
jesijesijesijesi
878419
bumped to the homepage by Community♦ 7 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
New to Azure SQL DB. I was wondering what is the best practices for scheduling jobs like update statistics in Azure SQL DB.
Googling got a couple of blogs that uses Azure automation.
https://blogs.msdn.microsoft.com/azuresqldbsupport/2018/01/15/automating-azure-sql-db-index-and-statistic-maintenance-using-azure-automation/
Is that the best way to do this? Just looking for some suggestions on the pros and cons of this approach. I will be testing this soon.
sql-server azure-sql-database azure
asked Jun 11 '18 at 3:20
jesijesijesijesi
878419
bumped to the homepage by Community♦ 7 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
New to Azure SQL DB. I was wondering what is the best practices for scheduling jobs like update statistics in Azure SQL DB.
Googling got a couple of blogs that uses Azure automation.
https://blogs.msdn.microsoft.com/azuresqldbsupport/2018/01/15/automating-azure-sql-db-index-and-statistic-maintenance-using-azure-automation/
Is that the best way to do this? Just looking for some suggestions on the pros and cons of this approach. I will be testing this soon.
sql-server azure-sql-database azure
asked Jun 11 '18 at 3:20
jesijesijesijesi
878419
New to Azure SQL DB. I was wondering what is the best practices for scheduling jobs like update statistics in Azure SQL DB.
Googling got a couple of blogs that uses Azure automation.
https://blogs.msdn.microsoft.com/azuresqldbsupport/2018/01/15/automating-azure-sql-db-index-and-statistic-maintenance-using-azure-automation/
Is that the best way to do this? Just looking for some suggestions on the pros and cons of this approach. I will be testing this soon.
sql-server azure-sql-database azure
sql-server azure-sql-database azure
asked Jun 11 '18 at 3:20
jesijesijesijesi
878419
asked Jun 11 '18 at 3:20
jesijesijesijesi
878419
asked Jun 11 '18 at 3:20
jesijesijesijesi
878419
asked Jun 11 '18 at 3:20
jesijesijesijesi
878419
asked Jun 11 '18 at 3:20
jesijesijesijesi
878419
878419
bumped to the homepage by Community♦ 7 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 7 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
add a comment |
1 Answer
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The article is really good providing scripts and a way of automating maintenance but index and statistics maintenance is an I/O intensive workload. You may consider to scale to premium tiers prior to run index and statistics maintenance tasks, and when the workload finishes scale down to previous tier. You can automate that using T-SQL. That should reduce maintenance time.
Additionally, compacting large objects data (image, text, ntext, varchar(max), nvarchar(max), varbinary(max), and xml) can save disk space but it can increase the time it takes to maintain indexes. If you have a restricted time window for reindexing you can set LOB_COMPACTION to OFF.
answered Jun 11 '18 at 5:08
Alberto MorilloAlberto Morillo
93715
add a comment |
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1 Answer
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The article is really good providing scripts and a way of automating maintenance but index and statistics maintenance is an I/O intensive workload. You may consider to scale to premium tiers prior to run index and statistics maintenance tasks, and when the workload finishes scale down to previous tier. You can automate that using T-SQL. That should reduce maintenance time.
Additionally, compacting large objects data (image, text, ntext, varchar(max), nvarchar(max), varbinary(max), and xml) can save disk space but it can increase the time it takes to maintain indexes. If you have a restricted time window for reindexing you can set LOB_COMPACTION to OFF.
answered Jun 11 '18 at 5:08
Alberto MorilloAlberto Morillo
93715
add a comment |
The article is really good providing scripts and a way of automating maintenance but index and statistics maintenance is an I/O intensive workload. You may consider to scale to premium tiers prior to run index and statistics maintenance tasks, and when the workload finishes scale down to previous tier. You can automate that using T-SQL. That should reduce maintenance time.
Additionally, compacting large objects data (image, text, ntext, varchar(max), nvarchar(max), varbinary(max), and xml) can save disk space but it can increase the time it takes to maintain indexes. If you have a restricted time window for reindexing you can set LOB_COMPACTION to OFF.
answered Jun 11 '18 at 5:08
Alberto MorilloAlberto Morillo
93715
add a comment |
The article is really good providing scripts and a way of automating maintenance but index and statistics maintenance is an I/O intensive workload. You may consider to scale to premium tiers prior to run index and statistics maintenance tasks, and when the workload finishes scale down to previous tier. You can automate that using T-SQL. That should reduce maintenance time.
Additionally, compacting large objects data (image, text, ntext, varchar(max), nvarchar(max), varbinary(max), and xml) can save disk space but it can increase the time it takes to maintain indexes. If you have a restricted time window for reindexing you can set LOB_COMPACTION to OFF.
answered Jun 11 '18 at 5:08
Alberto MorilloAlberto Morillo
93715
The article is really good providing scripts and a way of automating maintenance but index and statistics maintenance is an I/O intensive workload. You may consider to scale to premium tiers prior to run index and statistics maintenance tasks, and when the workload finishes scale down to previous tier. You can automate that using T-SQL. That should reduce maintenance time.
Additionally, compacting large objects data (image, text, ntext, varchar(max), nvarchar(max), varbinary(max), and xml) can save disk space but it can increase the time it takes to maintain indexes. If you have a restricted time window for reindexing you can set LOB_COMPACTION to OFF.
answered Jun 11 '18 at 5:08
Alberto MorilloAlberto Morillo
93715
answered Jun 11 '18 at 5:08
Alberto MorilloAlberto Morillo
93715
answered Jun 11 '18 at 5:08
Alberto MorilloAlberto Morillo
93715
answered Jun 11 '18 at 5:08
Alberto MorilloAlberto Morillo
93715
93715
add a comment |
add a comment |
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