Updated October 2025
Introduction
With this release, our Oracle tools now support Oracle’s memoptimized rowstore feature (introduced in 18c). The memoptimized rowstore enables ultra-low latency lookups on tables that are primarily queried by their primary keys. This is especially useful for high-throughput scenarios like IoT workloads.
Currently, this feature is available only in Exadata and Oracle Cloud’s Enterprise Edition Extreme Performance. For licensing details, see the Oracle documentation.
Enabling the Feature: Backup First
Before you turn anything on, always back up your database parameters:
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SPFile parameters are stored in a binary SPFile
-
To edit them safely, create a PFile (text version) as a backup
Hora makes this process easy. Log in as SYS to the ROOT container, then open the Database | SGA page. The lower grid shows memory-related parameters.

To back up:
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Right-click that parameter grid → “Backup SPFile to PFile”
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A dialog appears (SPFile name read-only; PFile target editable)
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Confirm the creation

CREATE PFILE='/u01/oracle/dbs/test_init.ora' FROM SPFILE='/u01/oracle/dbs/test_spfile.ora';
Now you have an editable PFile you can roll back to in emergencies.
Activating Memoptimized Rowstore
Next, find the memoptimize_pool_size
parameter in the same grid:
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Right-click → “Alter System Parameter”
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Enter a size (e.g. 100M
)
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Set the scope to spfile
-
Optionally include a comment
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Confirm the change

If the database doesn’t meet requirements (as stated in Oracle’s licensing guide), the startup may fail. You might see an error like:
In that case:
Verifying Column Status in Hora
Once the database is up:
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Log in as the owner schema
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Open the Tables page
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The data grid now shows two new columns: Memoptimize Read and Memoptimize Write
These indicate the status for each table.

You can enable or disable these flags:
Once enabled, you must populate the table via:
Note: In Reverse DB, KeepTool will automatically include the ALTER TABLE
statements in the generated DDL script after constraints, so that the table’s primary key is already in place.
Final Thoughts
The memoptimized rowstore provides a powerful way to speed up primary-key lookups with minimal latency overhead.
Via Hora and KeepTool tooling, enabling, monitoring, and managing this feature becomes intuitive.
If you work with high-frequency access patterns or microservice architectures, this feature could be a game-changer.
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