Migrating Using ASM Redundancy in Software

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Migrating Using ASM Redundancy
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Using ASM, it is possible to add disks to an existing ASM diskgroup and ASM will automatically initiate a rebalance operation and redistribute the data blocks on the newly added disk Similarly, when a disk is dropped from an ASM diskgroup, ASM will automatically re-create the data blocks that were on the dropped disk by copying them from the mirrored location (provided the ASM diskgroup is mirrored and enough space exists) These add and drop steps can be performed while the ASM and the database instances are online, without affecting the availability of data This capability in ASM can be used for migration of databases to the Database Machine The migration process would start by adding grid disks on the Exadata Storage Servers to the existing ASM diskgroups configured using the non-Exadata storage You would then drop the disks on the nonExadata storage and initiate a rebalance operation that re-creates the blocks (using mirrored copies) that were originally present on the dropped disk on the Exadata Storage Servers These steps are repeated until all diskgroups are migrated over to the Database Machine The considerations for using this method are
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The source system platform should be based on Linux x86-64, and the database and ASM version should be the same as the Database Machine (ie, 112)
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Migrating to the Exadata Database Machine
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The source system s ASM diskgroups must be configured with normal or high redundancy Application impact can be controlled such that the rebalance happens with minimal impact This can be adjusted with the POWER clause of the rebalance operation Since ASM on Exadata needs to access the legacy storage, the legacy storage must be exposed to the Database Machine using NFS or iSCSI If moving from a previous version of the Database Machine, then you should connect the two machines using the InfiniBand Network or the 10 Gigabit Ethernet Although the migration itself will incur zero downtime, in reality, there will be a slight downtime incurred in order to switch the database and ASM instances from the non-Exadata platform to the Database Machine
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Migrating Using Partition Roll-in and Roll-out
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A partition roll-in and roll-out strategy deals with deleting the old table partitions out of the database when they are no longer required (roll-out) and adding the new data that is loaded to new table partitions (roll-in) Using this strategy, you can load the new data on the partitions that reside on the Exadata Storage Server, while the old data on the legacy storage will be deleted over time, based on the roll-out criteria This method does not incur a data migration from the source to the destination database However, the main requirement for using this method is that the data model should be designed for the partition roll-in/roll-out strategy The requirement seems stringent for any realistic migration use-case to fit in, but it might be possible to use this method in conjunction with other methods, like the Data Pump, which will move part of the data that does not support the partition roll-in/roll-out rules We will discuss the Data Pump method in later sections The considerations for using this method are
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The source system platform should be based on Linux x86-64 and the database should be 112 The use of ASM on the source database is optional The new table partitions will reside in the ASM on the Database Machine
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The legacy storage needs to be connected to the Database Machine using NFS or iSCSI Data migration is not needed in this option There will be a slight downtime associated in order to switch the database and ASM instances from the non-Exadata platform to the Database Machine The source database data model should support partition roll-out and roll-in requirements as stated earlier Smart Scans across the new partitions residing on the Exadata Storage Servers and the old partitions residing on the legacy storage are not possible The legacy storage cannot be decommissioned quickly, and this could be an issue when justifying the purchase of the Database Machine
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