How to Update Blob Column In Oracle 12C?

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To update a blob column in Oracle 12c, you can use the standard SQL UPDATE statement along with the TO_BLOB or EMPTY_BLOB functions.


First, you need to select the current blob value from the table using a SELECT statement. Then, you can update the blob column with a new value by using the UPDATE statement.


For example, you can update a blob column named "blob_data" in a table called "my_table" with a new blob value like this: UPDATE my_table SET blob_data = TO_BLOB('new_blob_value') WHERE ;


Alternatively, if you want to update the blob column with an empty blob, you can use the EMPTY_BLOB function like this: UPDATE my_table SET blob_data = EMPTY_BLOB() WHERE ;


Remember to replace "my_table", "blob_data", and "" with the actual table name, blob column name, and condition for updating the blob column.

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What is the role of materialized views in blob columns in Oracle 12c?

In Oracle 12c, materialized views can be used to store and manage the data in blob columns more efficiently. Materialized views can be created on blob columns to precompute and store the results of complex queries, aggregations, or transformations. This allows quicker access to the data and reduces the need to reprocess the same queries repeatedly.


Materialized views can also be used to refresh the data in blob columns automatically at regular intervals, ensuring that the data is always up-to-date. Additionally, materialized views can improve query performance by providing indexes on the blob columns, making it easier to retrieve specific data quickly.


Overall, materialized views play a crucial role in optimizing the storage, management, and performance of blob columns in Oracle 12c.


How to monitor performance on tables with blob columns in Oracle 12c?

Monitoring performance on tables with blob columns in Oracle 12c can be a bit more challenging compared to tables with regular columns, as blob data can be larger and more complex. However, there are several ways to monitor performance on such tables:

  1. Use SQL Trace: Enable SQL Trace on sessions accessing the tables with blob columns. This will allow you to capture the SQL statements and performance metrics related to the blob data retrieval process.
  2. Monitor I/O performance: Keep an eye on I/O performance metrics such as read and write operations, disk utilization, and latency when accessing blob data. You can use tools like Automatic Workload Repository (AWR) reports or Oracle Enterprise Manager to track these metrics.
  3. Check buffer cache usage: Monitor the buffer cache usage for the tables with blob columns to ensure that enough memory is allocated for storing and retrieving blob data. Use tools like Oracle Instance Viewer or V$DB_CACHE_ADVICE to analyze buffer cache usage.
  4. Monitor tablespace usage: Check the tablespace usage for tables with blob columns to ensure that enough space is allocated for storing blob data. Monitor the growth of the tablespace and consider adding more space if needed.
  5. Monitor query performance: Keep an eye on query performance for SQL statements accessing blob columns. Use tools like Oracle SQL Tuning Advisor or SQL Developer to analyze and optimize the performance of these queries.


By following these monitoring techniques, you can ensure optimal performance on tables with blob columns in Oracle 12c and identify any potential performance bottlenecks before they impact your application.


How to manage access control on blob columns in Oracle 12c?

In Oracle 12c, you can manage access control on blob columns by using Virtual Private Database (VPD) policies. VPD allows you to impose row-level security policies on tables, views, or materialized views. Here's how you can set up access control on blob columns using VPD:

  1. Create a function that returns a SQL predicate that controls access to the blob column. This function should take the blob column as an input parameter.
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CREATE OR REPLACE FUNCTION check_blob_access (blob_column BLOB)
RETURN VARCHAR2
IS
BEGIN
  -- Your access control logic here
  IF <your_condition> THEN
    RETURN '1=1'; -- Allow access
  ELSE
    RETURN '1=2'; -- Deny access
  END IF;
END;
/


  1. Create a policy using the DBMS_RLS.ADD_POLICY function to apply the access control function to the table containing the blob column.
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BEGIN
  DBMS_RLS.ADD_POLICY(
    object_schema     => 'schema_name',
    object_name       => 'table_name',
    policy_name       => 'blob_access_policy',
    function_schema   => 'schema_name',
    policy_function   => 'check_blob_access',
    statement_types   => 'SELECT',
    update_check      => FALSE
  );
END;
/


  1. Test the access control policy by querying the blob column. Users that meet the conditions specified in the access control function will be able to access the blob column, while others will be denied access.


By following these steps, you can effectively manage access control on blob columns in Oracle 12c using VPD policies.

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