ola-hallengren index rebuild with multi thread and multiple days
Ola scripts for index maintenance work really well for smaller databases. For multi terabyte databases with big indices, many partitions, and a small interval of schedule times I observed that the script always tends to rebuild same indices and never finishes.
How can we implement the solution to capture and then run the index optimization for certain duration of days and then reset. Can we also have it run in multiple threads?
We did develop a solution to achieve it, but the only problem we have is updating it on regular basis.
sql-server maintenance ola-hallengren
bumped to the homepage by Community♦ 6 mins ago
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add a comment |
Ola scripts for index maintenance work really well for smaller databases. For multi terabyte databases with big indices, many partitions, and a small interval of schedule times I observed that the script always tends to rebuild same indices and never finishes.
How can we implement the solution to capture and then run the index optimization for certain duration of days and then reset. Can we also have it run in multiple threads?
We did develop a solution to achieve it, but the only problem we have is updating it on regular basis.
sql-server maintenance ola-hallengren
bumped to the homepage by Community♦ 6 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Can you include what you have worked on so far? What do you mean by updating it is a problem?
– LowlyDBA
May 5 '18 at 19:00
Keeping up to date with the latest versions.
– Srikar Reddy Kasireddy
May 7 '18 at 3:49
We developed a solution where it captured the index stats in a table and loop the table for the duration of days we setup and rebuild or reorg the indices on everyday schedule. Once the max days is reached, the next run will start capturing the fresh stats of indices and run through same. We achieved parallel threads by running all this with sql agent jobs controleld by a controller job.
– Srikar Reddy Kasireddy
May 7 '18 at 3:53
add a comment |
Ola scripts for index maintenance work really well for smaller databases. For multi terabyte databases with big indices, many partitions, and a small interval of schedule times I observed that the script always tends to rebuild same indices and never finishes.
How can we implement the solution to capture and then run the index optimization for certain duration of days and then reset. Can we also have it run in multiple threads?
We did develop a solution to achieve it, but the only problem we have is updating it on regular basis.
sql-server maintenance ola-hallengren
Ola scripts for index maintenance work really well for smaller databases. For multi terabyte databases with big indices, many partitions, and a small interval of schedule times I observed that the script always tends to rebuild same indices and never finishes.
How can we implement the solution to capture and then run the index optimization for certain duration of days and then reset. Can we also have it run in multiple threads?
We did develop a solution to achieve it, but the only problem we have is updating it on regular basis.
sql-server maintenance ola-hallengren
sql-server maintenance ola-hallengren
edited May 5 '18 at 19:02
LowlyDBA
7,07252542
7,07252542
asked May 5 '18 at 18:09
Srikar Reddy KasireddySrikar Reddy Kasireddy
1
1
bumped to the homepage by Community♦ 6 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♦ 6 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Can you include what you have worked on so far? What do you mean by updating it is a problem?
– LowlyDBA
May 5 '18 at 19:00
Keeping up to date with the latest versions.
– Srikar Reddy Kasireddy
May 7 '18 at 3:49
We developed a solution where it captured the index stats in a table and loop the table for the duration of days we setup and rebuild or reorg the indices on everyday schedule. Once the max days is reached, the next run will start capturing the fresh stats of indices and run through same. We achieved parallel threads by running all this with sql agent jobs controleld by a controller job.
– Srikar Reddy Kasireddy
May 7 '18 at 3:53
add a comment |
Can you include what you have worked on so far? What do you mean by updating it is a problem?
– LowlyDBA
May 5 '18 at 19:00
Keeping up to date with the latest versions.
– Srikar Reddy Kasireddy
May 7 '18 at 3:49
We developed a solution where it captured the index stats in a table and loop the table for the duration of days we setup and rebuild or reorg the indices on everyday schedule. Once the max days is reached, the next run will start capturing the fresh stats of indices and run through same. We achieved parallel threads by running all this with sql agent jobs controleld by a controller job.
– Srikar Reddy Kasireddy
May 7 '18 at 3:53
Can you include what you have worked on so far? What do you mean by updating it is a problem?
– LowlyDBA
May 5 '18 at 19:00
Can you include what you have worked on so far? What do you mean by updating it is a problem?
– LowlyDBA
May 5 '18 at 19:00
Keeping up to date with the latest versions.
– Srikar Reddy Kasireddy
May 7 '18 at 3:49
Keeping up to date with the latest versions.
– Srikar Reddy Kasireddy
May 7 '18 at 3:49
We developed a solution where it captured the index stats in a table and loop the table for the duration of days we setup and rebuild or reorg the indices on everyday schedule. Once the max days is reached, the next run will start capturing the fresh stats of indices and run through same. We achieved parallel threads by running all this with sql agent jobs controleld by a controller job.
– Srikar Reddy Kasireddy
May 7 '18 at 3:53
We developed a solution where it captured the index stats in a table and loop the table for the duration of days we setup and rebuild or reorg the indices on everyday schedule. Once the max days is reached, the next run will start capturing the fresh stats of indices and run through same. We achieved parallel threads by running all this with sql agent jobs controleld by a controller job.
– Srikar Reddy Kasireddy
May 7 '18 at 3:53
add a comment |
1 Answer
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For multi terabyte databases with big indices, many partitions, and a small interval of schedule times I observed that the script always tends to rebuild same indices and never finishes.
This is very common for VLDBs. You can be a bit smatter and follow Paul Randal's Quick list of VLDB maintenance best practices. You can rebuild indexes ONLINE in Enterprise edition.
In your case since you are using Ola's Index Optimization scripts, you are running into endless index defragmentation which you can solve by being analyzing CommandLog
table
I have given few more thoughts on Is a weekly rebuild of indexes a good idea? covering maxdop option.
I would say, if your databases are extremely big (TB size), atleast do a reorg instead of rebuild and manually update stats. This will put you in a good reasonable state since a reorg will start from where it got killed.
For running in parallel threads, you can drive of commandLog
table and use powershell runspace (be careful of not spawing many threads - see Notes on usage of using runspace).
add a comment |
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For multi terabyte databases with big indices, many partitions, and a small interval of schedule times I observed that the script always tends to rebuild same indices and never finishes.
This is very common for VLDBs. You can be a bit smatter and follow Paul Randal's Quick list of VLDB maintenance best practices. You can rebuild indexes ONLINE in Enterprise edition.
In your case since you are using Ola's Index Optimization scripts, you are running into endless index defragmentation which you can solve by being analyzing CommandLog
table
I have given few more thoughts on Is a weekly rebuild of indexes a good idea? covering maxdop option.
I would say, if your databases are extremely big (TB size), atleast do a reorg instead of rebuild and manually update stats. This will put you in a good reasonable state since a reorg will start from where it got killed.
For running in parallel threads, you can drive of commandLog
table and use powershell runspace (be careful of not spawing many threads - see Notes on usage of using runspace).
add a comment |
For multi terabyte databases with big indices, many partitions, and a small interval of schedule times I observed that the script always tends to rebuild same indices and never finishes.
This is very common for VLDBs. You can be a bit smatter and follow Paul Randal's Quick list of VLDB maintenance best practices. You can rebuild indexes ONLINE in Enterprise edition.
In your case since you are using Ola's Index Optimization scripts, you are running into endless index defragmentation which you can solve by being analyzing CommandLog
table
I have given few more thoughts on Is a weekly rebuild of indexes a good idea? covering maxdop option.
I would say, if your databases are extremely big (TB size), atleast do a reorg instead of rebuild and manually update stats. This will put you in a good reasonable state since a reorg will start from where it got killed.
For running in parallel threads, you can drive of commandLog
table and use powershell runspace (be careful of not spawing many threads - see Notes on usage of using runspace).
add a comment |
For multi terabyte databases with big indices, many partitions, and a small interval of schedule times I observed that the script always tends to rebuild same indices and never finishes.
This is very common for VLDBs. You can be a bit smatter and follow Paul Randal's Quick list of VLDB maintenance best practices. You can rebuild indexes ONLINE in Enterprise edition.
In your case since you are using Ola's Index Optimization scripts, you are running into endless index defragmentation which you can solve by being analyzing CommandLog
table
I have given few more thoughts on Is a weekly rebuild of indexes a good idea? covering maxdop option.
I would say, if your databases are extremely big (TB size), atleast do a reorg instead of rebuild and manually update stats. This will put you in a good reasonable state since a reorg will start from where it got killed.
For running in parallel threads, you can drive of commandLog
table and use powershell runspace (be careful of not spawing many threads - see Notes on usage of using runspace).
For multi terabyte databases with big indices, many partitions, and a small interval of schedule times I observed that the script always tends to rebuild same indices and never finishes.
This is very common for VLDBs. You can be a bit smatter and follow Paul Randal's Quick list of VLDB maintenance best practices. You can rebuild indexes ONLINE in Enterprise edition.
In your case since you are using Ola's Index Optimization scripts, you are running into endless index defragmentation which you can solve by being analyzing CommandLog
table
I have given few more thoughts on Is a weekly rebuild of indexes a good idea? covering maxdop option.
I would say, if your databases are extremely big (TB size), atleast do a reorg instead of rebuild and manually update stats. This will put you in a good reasonable state since a reorg will start from where it got killed.
For running in parallel threads, you can drive of commandLog
table and use powershell runspace (be careful of not spawing many threads - see Notes on usage of using runspace).
answered May 5 '18 at 20:16
KinKin
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Can you include what you have worked on so far? What do you mean by updating it is a problem?
– LowlyDBA
May 5 '18 at 19:00
Keeping up to date with the latest versions.
– Srikar Reddy Kasireddy
May 7 '18 at 3:49
We developed a solution where it captured the index stats in a table and loop the table for the duration of days we setup and rebuild or reorg the indices on everyday schedule. Once the max days is reached, the next run will start capturing the fresh stats of indices and run through same. We achieved parallel threads by running all this with sql agent jobs controleld by a controller job.
– Srikar Reddy Kasireddy
May 7 '18 at 3:53